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  1. DATE: May 12, 2026 at 07:49AM
    SOURCE: SOCIALPSYCHOLOGY.ORG

    TITLE: Rainbow Map Delivers Mixed Picture on LGBTQ+ Rights

    URL: socialpsychology.org/client/re

    Source: DW- top stories

    Spain has overtaken Malta at the top of Europe's annual LGBTQ+ rights rainbow map. The 2026 ranking, compiled by the International Lesbian, Gay, Bisexual, Trans and Intersex Association, compares laws and policies affecting LGBTQ+ people in 49 countries across Europe and Central Asia. Spain's rise reflects new equality laws, national action plans, and the depathologization of trans identities in healthcare. This year, the lowest ranked country...

    URL: socialpsychology.org/client/re

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  2. DATE: May 23, 2025 at 06:30AM
    SOURCE: BioWorld MedTech

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    .#Tricares #Topaz valve significantly reduces #tricuspid regurgitation

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  3. DATE: May 22, 2025 at 05:08PM
    SOURCE: BioWorld MedTech

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    Tricares #Topaz valve significantly reduces #tricuspid regurgitation

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  4. DATE: May 22, 2025 at 04:30PM
    SOURCE: BioWorld MedTech

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    .#Tricares #Topaz valve significantly reduces #tricuspid regurgitation

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  5. DATE: December 06, 2024 at 07:00AM
    SOURCE: BioWorld MedTech

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    Immune system could be key to neurodegenerative disease

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  6. DATE: December 05, 2024 at 06:00PM
    SOURCE: BioWorld MedTech

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    Immune system could be key to neurodegenerative disease

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  7. DATE: May 14, 2026 at 02:00PM
    SOURCE: PSYPOST.ORG

    ** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
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    TITLE: Women score higher than men on fluid intelligence tests when allowed to express uncertainty

    URL: psypost.org/updating-the-multi

    Traditional tests of intelligence and literacy may be fundamentally flawed because they force test-takers to choose a single answer rather than allowing them to express their level of confidence in different options. When people are given financial incentives and allowed to distribute their answers based on how sure they are, women actually score higher than men. The research was published in the Journal of Political Economy.

    For decades, psychologists and economists have measured cognitive ability using multiple-choice tests. These assessments score responses as strictly right or wrong. Glenn W. Harrison of Georgia State University, Don Ross of University College Cork, and J. Todd Swarthout of Georgia State University suspected this format misses a vital component of human cognition. Knowing how strongly to believe in an answer is a skill in itself.

    The researchers note that the standard format forces people to mask their thought processes. If someone is somewhat confident in an answer but still perceives some risk of being wrong, the rigid format does not capture that nuance. The test format demands absolute certainty even when a person possesses healthy skepticism.

    To address this, the team examined the Raven Advanced Progressive Matrices test. This assessment presents a grid of shapes with one missing piece and asks the test-taker to identify the pattern. It is widely used to measure fluid intelligence, which is the ability to solve new logic problems without relying on prior knowledge.

    The researchers wrote that, “The measurement of intelligence should identify and measure an individual’s subjective confidence that a response to a test question is correct.” They noted that existing tests completely fail to achieve this goal.

    The standard version of this puzzle allows test-takers unlimited time and offers no financial motivation. The researchers created a computerized version that offered monetary rewards for correct answers. They divided participants into different groups to test how the structure of the task changed their performance.

    In the baseline group, participants took a traditional version for a flat fee of five dollars. In another group, participants were paid based on their accuracy but were still forced to pick just one answer. A third group experienced a radically different test structure.

    These participants were given eighty digital tokens to allocate across eight possible answers. If they were completely sure, they could place all eighty tokens on a single choice for a maximum reward of two dollars per puzzle. If they were unsure, they could spread their tokens out over multiple likely answers to guarantee a smaller payout.

    This token system measures what the researchers refer to as confidence. In this context, confidence does not mean optimism. It refers to the precision of a person’s belief. A person who places ten tokens on every single answer is safely guarding against risk because they have no idea which shape is correct.

    When financial incentives were combined with the ability to express varying degrees of confidence, the results shifted dramatically. In the traditional format, female participants scored lower than male participants. When participants could assign tokens based on their confidence, women outperformed men.

    The data showed that female participants were better at calculating the risk of their answers and distributing their tokens efficiently. Knowing when you are unsure is a core part of cognition. The researchers consider this risk assessment to be a fundamental element of fluid intelligence.

    The researchers also altered the order of the puzzles. The standard test starts with easy puzzles and gradually progresses to difficult ones. The researchers call this sequence a structured progression, meaning it is an environmental clue that helps a person think.

    When the researchers scrambled the order of the puzzles so that difficulty varied randomly, overall performance dropped. The gap in performance between the group forced to pick one answer and the group allowed to use tokens widened even further. This confirmed that the ability to express uncertainty is a distinct cognitive advantage when facing unpredictable problems.

    This discovery regarding gender prompted the researchers to revisit other areas where men possess a supposed advantage. They looked at studies regarding competitiveness. Past behavioral studies suggest that women back away from competitive environments, such as workplace tournaments, in favor of flat payment schedules.

    The researchers recreated these experiments using the token system and discovered that women were making the mathematically correct risk management choices. Participants had to solve logic problems under a time limit, choosing either a guaranteed payment per correct answer or a tournament style where only the top performer received a large payout.

    Men tended to choose the competitive tournament even when it resulted in a monetary loss for them. Men proved to be overly optimistic about their chances of winning. Women evaluated the risk accurately and chose the safer compensation structure, which resulted in better financial outcomes.

    The team also looked at financial literacy tests. Standard surveys report that women choose the “do not know” option much more often than men when asked financial questions. This has led to the assumption that women possess lower financial literacy.

    The researchers presented participants with a standard question about calculating purchasing power based on interest and inflation rates. When the researchers allowed subjects to use tokens to answer the question, they found that women were just more open about their lack of complete certainty. The bias in their actual knowledge was tiny and not statistically significant.

    Many women distributed their tokens broadly, meaning they were aware that they lacked the exact knowledge and guarded their bets accordingly. This behavior signals an intellectual awareness of uncertainty. Someone who knows they are guessing is more likely to seek out a financial advisor or a textbook to learn the correct answer.

    Individuals who place all their tokens on a highly incorrect answer represent a much larger danger. The researchers noted that these individuals are completely confident in their incorrect knowledge. These are the people most likely to make catastrophic financial decisions without consulting outside help.

    The authors specify that their findings on motivation might involve variables that are difficult to isolate. Participants might bring personal motivations into the laboratory that interact with the monetary incentives offered by the experimenters.

    Future studies could attempt to separate these personal drives from the financial rewards to see how they impact token distribution. The research team also plans to further investigate data suggesting that Black participants similarly perform drastically better when allowed to express their confidence through the token system.

    The study, “Gender, Confidence, and the Mismeasure of Intelligence, Competitiveness, and Literacy,” was authored by Glenn W. Harrison, Don Ross, and J. Todd Swarthout.

    URL: psypost.org/updating-the-multi

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    #psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #FluidIntelligence #ConfidenceInAssessment #TokenBasedTesting #GenderDifferences #RiskAssessment #UncertaintyExpression #CognitiveMeasurement #EconomicIncentives #FinancialLiteracy #RavenMatrices

  8. DATE: May 13, 2026 at 08:00AM
    SOURCE: PSYPOST.ORG

    ** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
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    TITLE: Your eyes reveal how strongly you believe fake news before you even make a choice

    URL: psypost.org/your-eyes-reveal-h

    A recent study published in the Proceedings of the National Academy of Sciences suggests that our preexisting beliefs deeply influence how we learn new information in our daily lives. By tracking eye movements and decision-making during a simulated news evaluation game, scientists found that people readily learn from rewards that match their existing views but struggle to adapt when rewards challenge their preconceived notions.

    These findings provide evidence for the cognitive pathways that allow misinformation to persist in the modern digital landscape. This dynamic explains why simply presenting factual corrections often fails to change minds.

    People increasingly rely on social media platforms for their daily news consumption, where automated algorithms tend to filter content to match users’ existing preferences. This digital environment provides a fertile ground for disinformation to spread rapidly across large populations, raising the question of why individuals continue to believe false content even when objective fact-checking is readily available.

    “I began seriously considering this line of research in 2021, after witnessing firsthand the damage misinformation caused during the COVID-19 pandemic, particularly in relation to the vaccination campaign,” said study author Stefano Lasaponara, an associate professor in the department of psychology at Sapienza University of Rome. “That experience led me to wonder to what extent fake news might affect not only what people believe, but also how they learn from feedback and experience.”

    Lasaponara and his colleagues sought to understand how a person’s preexisting judgments and internal confidence interact with the way they learn from external feedback. They designed the study to test whether our tendency to favor belief-consistent information might be rooted in basic, everyday learning mechanisms. By examining these fundamental learning processes, the authors hoped to uncover why people find it so difficult to update their opinions when faced with misleading news stories.

    To explore these questions, the scientists recruited a final sample of 28 healthy young adults, aged between 18 and 36, to participate in a detailed three-part experiment. In the first phase, participants viewed a set of 324 news headlines that had recently circulated on popular social media platforms. Half of these selected headlines contained real news events, and the other half contained entirely false information. Participants had to read each headline on a computer screen and judge whether it was true or fake.

    They also wagered a virtual amount of money, ranging from zero to 99 cents, on their provided answer. This financial bet served as a measurable indicator of their internal confidence regarding each specific news item. Based on these answers, the scientists grouped the headlines into four personalized categories for each individual participant. These customized categories included news judged as true with high confidence, true with low confidence, fake with high confidence, and fake with low confidence.

    During this phase, the researchers used specialized eye-tracking glasses to measure the participants’ pupil dilation as they read. Pupil dilation is an involuntary physical response that indicates mental effort, focused attention, and physiological arousal. Measuring this subtle response allowed the team to track brain engagement in real time without interrupting the participants.

    In the second phase, the researchers tested how well participants could learn new rules based on their previous judgments. Participants played a computer game where they had to choose between pairs of the headlines they had just rated in the first phase. The goal was to select the specific headline that would win them a 20-cent virtual monetary reward. Unknown to the participants, the rewards were not randomly assigned throughout the game.

    In different rounds of the game, the 83 percent chance of winning a reward was tied to specific categories established during the initial evaluation. For example, in one round, picking headlines the participant had previously judged as true provided the reward. In another round, picking headlines judged as fake gave the reward. Other rounds rewarded choices based on high or low confidence, and one single round gave rewards entirely at random to serve as a baseline comparison.

    The third and final phase tested whether the learning game had changed the participants’ minds regarding the news items. The scientists showed the participants the original headlines again, along with their initial true or false judgments and their associated confidence wagers. Participants were given the option to either confirm their original judgment or change their mind completely. If their final answer matched the actual real or fake status of the news, they kept their wagered money as a final payout.

    The outcomes of the learning phase showed that participants learned very differently depending on the hidden rules of the computer game. When the game rewarded participants for choosing headlines they already believed to be true, they learned the winning strategy quickly and earned high scores. On the other hand, performance dropped when the game rewarded them for picking headlines they believed were fake. Participants also struggled to figure out the game’s hidden rules when rewards were tied to their confidence levels rather than their beliefs about truth.

    “One important takeaway is that our prior beliefs can begin shaping our decisions even before we explicitly express a judgment,” Lasaponara said. “In our study, these pre-existing convictions were strong enough to influence learning itself. More broadly, this suggests that we should approach new information as critically and as openly as possible, trying, when we can, to evaluate it without immediately filtering it through our preconceptions.”

    To understand the underlying mental strategies at play, the scientists used computational modeling, which involves creating mathematical simulations of human decision-making processes. The models revealed that when the rewards matched a participant’s belief in the truth, they used broad, generalized rules to make their choices.

    When the rewards no longer matched their sense of truth, the participants abandoned these broad generalization strategies. Instead, they reverted to simply reacting to positive and negative feedback on a trial by trial basis, which proved to be a much less effective way to navigate the game.

    The eye-tracking data provided physical evidence that our beliefs engage our nervous systems before we even make a conscious choice. In the initial phase, participants’ pupils dilated more when they were looking at headlines they would later judge with high confidence. This noticeable dilation suggests that strong subjective beliefs trigger an early physical arousal response within the body. During the learning phase, pupils dilated when participants faced a mental conflict, such as having to choose between a strongly held belief and a competing reward signal.

    “I expected to find pupillary effects related to the moment of decision itself, but I did not expect to observe them at an earlier stage, during the formation of a belief-consistent choice tendency,” Lasaponara noted. “That was particularly interesting because it suggests that the influence of prior beliefs may begin unfolding before an overt response is made.”

    When participants received feedback that went against their established beliefs, their pupils also widened, indicating cognitive surprise and an increased mental load. In the final feedback phase, participants showed a strong tendency to stick to their original opinions about the headlines. They rarely changed their minds, especially if they had placed a high confidence wager during the very first phase of the experiment.

    Interestingly, high confidence made people resistant to changing their minds regardless of whether the headline was actually true or false in reality. Participants were slightly more willing to update their beliefs if they had initially expressed low confidence in their judgment. While the study provides detailed evidence on how subjective beliefs shape learning, there are potential misinterpretations and limitations to keep in mind.

    Because the study required participants to experience all the different reward rules back to back, the learned rules from one round might have affected how they behaved in the next round. “An important caveat is that this study does not yet allow us to make strong claims about correcting misinformation, or about when and how people truly change their minds after learning,” Lasaponara explained. “Our results show that prior beliefs can bias reinforcement learning, but they do not yet tell us how to reliably undo that bias. This is something we are currently addressing in follow-up work.”

    The experiment also relied exclusively on political and social news headlines, meaning these learning patterns might look different if the topics were neutral or completely unrelated to current events. Future research could expand on these physiological findings by using different types of information to see if this learning behavior applies to other areas of human life.

    “Our broader goal is not only to better understand why people believe fake news, but also to identify the conditions under which misinformation becomes less effective,” Lasaponara added. “In follow-up studies, we are investigating whether different reinforcement structures can lead to varying degrees of belief updating and how computational models can help explain when people remain resistant to correction and when they become more flexible.”

    Scientists could also design experiments that explicitly present participants with direct evidence contradicting their beliefs, rather than just changing a computer game’s reward rules. This alternative approach would help map out the exact conditions that might finally encourage people to update their most stubborn opinions.

    “The title is also a small nod to Metallica, whom I am a big fan of,” Lasaponara added. “More importantly, this work would not have been possible without my co-authors, especially Valentina Piga and Silvana Lozito, whose contributions were fundamental to the project.”

    The study, “Eye of the beholder: Pupillary response reflects how subjective prior beliefs shape reinforcement learning with fake news,” was authored by Silvana Lozito, Valentina Piga, Sara Lo Presti, Angelica Scuderi, Fabrizio Doricchi, Massimo Silvetti, and Stefano Lasaponara.

    URL: psypost.org/your-eyes-reveal-h

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    #psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #FakeNews #BeliefDrivenLearning #EyeTracking #PupillaryResponse #Misinformation #ReinforcementLearning #CognitiveBias #MediaLiteracy #FactCheck #NewsResearch

  9. DATE: May 12, 2026 at 04:00PM
    SOURCE: PSYPOST.ORG

    ** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
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    TITLE: New study finds sustainable living relies on stable personality traits, not temporary bursts of willpower

    URL: psypost.org/new-study-finds-su

    Recent research suggests that people who naturally possess higher levels of self-control tend to engage in more environmentally friendly habits over time. However, short-term changes in a person’s willpower do not directly lead to greener choices. These findings provide evidence that making sustainable choices easier, rather than relying on individual discipline, might be a more effective way to encourage eco-friendly habits. The study was published in the Journal of Environmental Psychology.

    Scientists conducted this study to better understand the psychological traits that drive people to protect the environment. Environmental challenges like climate change and biodiversity loss require immediate action from everyday people. Actions that reduce a person’s negative impact on the planet are known as pro-environmental behaviors. Taking these actions often requires individuals to override their immediate conveniences for the sake of long-term ecological goals.

    Pursuing these long-term goals requires a degree of self-regulation. Self-control is a specific and essential type of self-regulation. It involves managing internal reactions, delaying gratification, and resisting unwanted behavioral impulses. Previous research suggests that people with higher self-control tend to act more sustainably because they can keep long-term goals in mind.

    “The idea first struck me during a very ordinary moment,” said Jingguang Li, a professor of psychology at Dali University in China. “I had just finished a bottle of water and there was no recycling bin in sight. I felt the urge to simply discard it, but instead I held onto it until I found a proper disposal point.”

    “That minor internal struggle made me curious: do people with stronger self-control naturally gravitate toward greener choices in their daily lives?” Li said. His laboratory was already studying self-control, making the connection to everyday environmental behavior a natural extension of their work.

    Most previous studies on this topic relied on cross-sectional designs. A cross-sectional study looks at a group of people at a single point in time, much like a photograph. This makes it difficult to know the exact direction of the relationship between variables.

    “Previous studies found that more self-controlled people also report more sustainable habits, but almost all of that evidence came from cross-sectional surveys, single snapshots in time,” Li told PsyPost. “That leaves a crucial ambiguity: does the link simply reflect stable differences between people, or can a real change in self-control actually drive a change in behavior?”

    This single-snapshot approach also leaves room for survey bias. “Because both self-control and pro-environmental behavior are socially valued traits, respondents filling out a one-shot questionnaire tend to paint a consistently positive picture of themselves,” Li said. “If they rate themselves as highly disciplined, they often feel compelled to rate themselves as environmentally conscious too.”

    This bias can artificially inflate the correlation, making the two traits look more tightly linked than they truly are in daily life. “To get around both problems, we followed the same participants across multiple time points,” Li said. “Spacing out the measurements helps separate genuine directional effects from the bias of wanting to appear virtuous in a single sitting.”

    Longitudinal studies track the exact same individuals across multiple points in time. This allows scientists to see how changes in one trait might predict changes in another trait over months or years. The researchers specifically chose to study adolescents and young adults. Late adolescence and early adulthood are periods when individuals are still developing their self-regulation capacities and forming their long-term environmental habits.

    In the first study, the researchers recruited 221 high school students from a public school in China. The sample included about 66 percent female students with an average age of roughly 16 years old. The researchers assessed the students twice, with a full year passing between the first and second assessment waves. During each wave, the students filled out paper questionnaires in their classrooms while supervised by research assistants.

    To measure self-control, the scientists used a 13-item questionnaire. Students rated statements about their ability to resist temptation and their tendency to think before acting. To measure pro-environmental behavior, the students rated how often they engaged in specific green activities over the past 12 months. These activities included recycling cans, saving energy at home, or buying products in reusable containers.

    When analyzing the data, the scientists used a statistical technique called a cross-lagged panel model. This method looks at how a variable at the first time point predicts a different variable at the second time point. The findings of this first study showed that higher self-control at the start of the year predicted an increase in pro-environmental behaviors by the end of the year.

    The researchers conducted a second study to expand on these findings using a larger sample and a longer timeframe. The second study included 1286 university students from a single university in China. This group was about 63 percent female with an average age of roughly 19 years old. Instead of just two check-ins, the researchers tracked these students across three distinct waves, with exactly one year between each wave.

    Because the study spanned three full years, the scientists could use a more advanced statistical tool called a random-intercept cross-lagged panel model. This advanced statistical model separates the survey data into two different mathematical layers. The first layer looks at stable differences between different people. The second layer looks at temporary fluctuations within the exact same person.

    Separating these layers helps scientists avoid confusing a stable personality trait with a passing state of mind. At the stable, trait-like level, the researchers found a positive association between the two factors. Individuals who consistently showed higher self-control compared to their peers also consistently reported more sustainable behaviors. This suggests that self-control is a stable personal trait strongly linked to living a greener lifestyle.

    At the fluctuating, individual level, the data showed a different pattern. When a specific student experienced a natural drop or increase in their own typical self-control, it did not predict any subsequent change in their sustainable habits. This suggests that year-to-year shifts in a person’s willpower do not directly drive short-term changes in how they treat the environment.

    “We were genuinely surprised by what we found inside the same person over time,” Li said. “At the outset, we had assumed that if someone’s self-control improved, their pro-environmental behavior would improve with it. But when we tracked the same individuals across waves, natural fluctuations in self-control simply did not translate into meaningful shifts in pro-environmental behavior.”

    “The link is really anchored in stable, long-term trait differences,” Li continued. “It underscores that promoting sustainability requires more than urging people to ‘try harder’; we need to build habits and shape environments that make green choices effortless.”

    The results provide evidence that having greener habits is part of an overarching lifestyle rather than a fleeting mood. “The main message is that the connection between self-control and green behavior is primarily a stable trait-level pattern: people who generally have stronger self-control also tend to live more sustainably across time,” Li said. “Yet when we tracked the same individuals over multiple waves, short-term ups and downs in their self-control did not reliably produce immediate changes in their environmental habits.”

    “So it is not about heroic bursts of willpower in the moment; it is about who you are, on average, over the long haul,” Li added. “That distinction matters for everyday life. Sustainable living is really a marathon built from countless small decisions, turning off lights, carrying reusable bags, sorting waste, that add up over months and years.”

    This highlights the need for structural changes that make sustainable choices easier for everyone. “If we rely solely on asking people to ‘try harder’ each time, we are fighting an uphill battle against human nature,” Li said. “A smarter approach is to reduce the self-control demand itself. Putting reminder stickers near light switches, placing recycling bins in convenient locations, or sharing monthly electricity or water-use feedback with family members can make the green choice the easy choice.”

    Communities can also use nudging strategies to encourage green behaviors. Nudging involves designing choices in a way that guides people toward a desired action without restricting their freedom. Making recycling bins more accessible or automatically opting people into green energy plans reduces the amount of willpower needed to help the planet. “By designing environments and routines that minimize friction, we can promote sustainable actions without requiring constant mental effort,” Li said.

    The researchers also note that self-control could be used as a helpful metric when assembling teams to tackle climate issues. People with naturally high self-control might be better equipped to handle the long-term demands of environmental advocacy. “One final thought: when selecting people for roles with significant environmental responsibilities, it makes sense to weigh self-control alongside their environmental attitudes and professional competence,” Li said.

    The study does have a few limitations that should be noted. “We used self-report questionnaires and focused on Chinese high school and university students,” Li said. “That makes the findings suggestive rather than definitive. Future work should test whether the same pattern holds in other populations and with objective measures, such as actual behavioral tasks or real-world tracking, before drawing firmer conclusions.”

    In addition, the one-year gap between the data collection waves might have missed smaller, short-term connections between willpower and sustainable choices. A full year is a long time, and a person’s self-control might fluctuate on a daily or weekly basis.

    Going forward, the researchers plan to look at other psychological traits that support sustainable living. “Our next step is to understand why some people follow through on environmental intentions while others do not,” Li said. “We are especially interested in grit, passion and perseverance for long-term goals, because environmental protection is not a one-off act; it is a decades-long commitment.”

    “The Paris Agreement, for instance, sets carbon-neutrality targets for the mid-twenty-first century, a timeline that feels distant to most people alive today,” Li noted. “That means safeguarding the planet demands sustained effort against slow, incremental payoffs, exactly the conditions where grit should matter.”

    The scientists hope to figure out exactly how to foster this type of long-term dedication. “We want to test whether grit and related traits can help explain who stays the course in the face of such delayed rewards, and whether we can design interventions or educational programs that cultivate this kind of persistence for ecological goals,” Li said.

    The study, “Longitudinal associations between self-control and pro-environmental behaviors,” was authored by Xingbo Wang, Yanru Liu, Yalun Zhang, Zhenglian Su, Liyun Hua, Yajun Zhao, and Jingguang Li.

    URL: psypost.org/new-study-finds-su

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  10. DATE: May 13, 2026 at 06:00PM
    SOURCE: PSYPOST.ORG

    ** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
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    TITLE: Class background influences whether genetic predisposition for intelligence drives you left or right

    URL: psypost.org/how-childhood-clas

    A person’s economic political views are shaped by their genetic predisposition for cognitive performance interacting with their childhood social class. People with a higher genetic likelihood for cognitive performance tend to adopt left-wing policies if they grew up poor, and right-wing policies if they grew up wealthy. The research was published in Political Psychology.

    Understanding differences in economic policy preferences is a primary goal of political science. Traditional models in political economics assume that individuals will support policies that benefit them financially. In a strictly theoretical system where flat taxes are redistributed equally, anyone earning below the average income should want complete redistribution, while anyone earning above the average should oppose it. While real political systems are messier, the fundamental dynamic generally holds.

    Low-income earners tend to benefit from proportional taxation and redistribution, while high-income earners bear the costs. In recent years, researchers have found that genetics also influence political behavior. Studies using various methods have documented genetic overlaps with political preferences. This overlap means that ideological preferences partially share the same genetic architecture as other measurable traits.

    Since our distant ancestors did not have modern tax systems or mass political parties, evolutionary forces could not have shaped economic ideology directly. Genetic effects on these preferences must operate through intermediate traits, which scientists call endophenotypes. Some researchers proposed that cognitive performance might act as one of these intermediate traits.

    The results of previous studies on cognitive performance and economic ideology, however, have been wildly inconsistent. Some studies showed a positive link between cognitive ability and economic conservatism. Other studies found a negative link, and some found no connection at all.

    Rafael Ahlskog, a researcher at the Department of Government at Uppsala University in Sweden, thought these contradictory results could be reconciled. He proposed a gene-environment interaction. This occurs when a specific genetic factor behaves differently depending on the environment surrounding the individual.

    Ahlskog theorized that cognitive performance does not push a person toward a specific political ideology on its own. Instead, cognitive capacity helps people analyze complicated policy packages and accurately deduce their own class interests. Modern economies feature vast arrays of diverse taxes, regulations, and benefit programs. Evaluating how these policies interact requires analytical effort.

    By applying these conceptual frameworks, the study connects the theories of classical economics with modern genetics. People who find it easy to perform the mental calculations required to navigate tax proposals will optimize their policy preferences. Those who find it more difficult might answer policy questions more randomly, or they might rely on social cues not strictly tied to their personal class background.

    In addition to this, political science maintains a long-standing theory regarding the impressionable years in human development. This theory states that environmental influences on attitudes are most potent during late adolescence and early adulthood. After this period, political preferences tend to stick. Based on this, Ahlskog suggested that the perception of one’s class interest is shaped primarily by the relative economic standing of their parents during these formative years.

    To test these ideas, Ahlskog analyzed data from a large sample of fraternal twins from the Swedish Twin Registry born between 1943 and 1958. Fraternal twins are siblings born at the same time who share, on average, half of their genetic sequence. Using within-family differences among fraternal twins provides an excellent natural experiment for behavioral researchers.

    Researchers value within-family sibling designs because comparing two people from the broader population introduces confounding variables. Between two random strangers, a genetic correlation might be skewed by regional ancestry differences or by the environmental impacts of their parents’ genes. Fraternal twins share the exact same family environment, and their genetic differences result purely from the random shuffling of DNA during conception.

    Because of this randomization, systematic downstream differences in sibling behavior have a causal interpretation. Researchers can confidently conclude that the genetic difference caused the behavioral difference, rather than an unmeasured environmental factor.

    To conduct the analysis, Ahlskog utilized variation in a genetic measure called a polygenic index. A polygenic index is an individual-level predictor of a specific trait that is based entirely on a person’s DNA. Geneticists build these indices by identifying thousands of tiny DNA variations known as single nucleotide polymorphisms that correlate with a target trait. The index used in this study summarized each twin’s genetic propensity for cognitive performance based on previous large-scale genomic discoveries.

    He combined this genetic data with the twins’ responses to an extensive survey conducted by the Swedish Twin Registry between 2009 and 2010. The survey included a detailed battery of over thirty political preference questions. Participants rated policy proposals on a five-point scale ranging from strongly disagree to strongly agree. Ahlskog isolated twelve items specifically dealing with economic ideology, such as opinions on taxation, welfare distribution, the public sector, and government regulation.

    To measure family socioeconomic standing, Ahlskog utilized Swedish registry data covering the twins’ parents. He calculated a relative affluence score by comparing the parents’ income and education levels to other adults in their specific local parishes. This provided a localized measure of class background. Sociologists have found that people typically compare their economic status to their immediate neighbors rather than the national average.

    When looking at the average effect across the entire sample, the genetic measure for cognitive performance had no impact on economic conservatism. The effect size appeared as practically zero. Without looking deeper, this might seem like a simple lack of an effect.

    When Ahlskog factored in the family’s socioeconomic background, the average null effect broke apart to reveal two distinct, opposing trends. Among children raised in relatively poorer families, a higher genetic index for cognitive performance caused more left-wing economic views. These individuals favored higher taxation and wealth redistribution.

    Among children from affluent backgrounds, the effect reversed entirely. A higher genetic index among these privileged individuals caused more right-wing views. They favored market reliance and reduced welfare spending. The genetic factor altered how individuals optimized their political views based entirely on their childhood class.

    In the scientific taxonomy of gene-environment interactions, researchers often distinguish between dimmer effects and lens effects. A dimmer effect happens when a change in the environment alters the magnitude of a genetic influence, making it stronger or weaker. A lens effect happens when the environment actually changes the direction of the genetic influence. Ahlskog’s findings represent a rare, robust example of a lens effect for a socially relevant behavior.

    The researcher also controlled for the twins’ adult income and education levels. The environmental interaction held up even when accounting for later-life resources. This suggests the genetic influence operates specifically on the early-life formation of class identity, not simply on a voter’s current bank account balance.

    As a placebo test to verify his theory, Ahlskog applied the same analytical models to social ideology. Social ideology involves cultural and moral issues, such as immigration, criminal justice policy, and animal rights. Unlike economic ideology, there is no direct personal financial benefit to optimizing social preferences based on household class.

    In this test, he found that a higher genetic index was naturally associated with lower social conservatism across the board. The effects operated in parallel for both the rich and the poor. There was no interaction based on socioeconomic background.

    The study features a few limitations and caveats. The genetic predictor is a noisy measurement that only captures a fraction of the actual heritable traits for cognitive performance. Comparing genetic differences within local twin pairs amplifies this measurement noise even further. As a result, the reported effects are likely much smaller than the actual biological impact.

    The geographical and historical realities of the respondent group also matter. The individuals in this sample grew up in Sweden during the middle of the twentieth century, a period defined by the rapid expansion of the modern welfare state. Class-based politics and labor movements were highly salient in their daily lives.

    The findings might look completely different in populations where economic ideology is not the primary dividing line in public debate. In political environments where left-wing economic positions are championed by socially conservative populists, the class dynamics could manifest in alternate ways. Finding out which specific political relationships are affected by changing social cultures will require further study.

    Ultimately, the findings demonstrate that genetic influences on political behavior are highly contingent on social environments. An effect that appears to be mathematically zero on average can obscure shifting dynamics beneath the surface. This heavy dependency on outside environmental factors functions as a strong argument against genetic determinism.

    The study, “Class, genes, and rationality: A gene-environment interaction approach to ideology,” was authored by Rafael Ahlskog.

    URL: psypost.org/how-childhood-clas

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  11. DATE: December 19, 2025 at 04:31PM
    SOURCE: BioWorld MedTech

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  12. DATE: December 03, 2025 at 11:02AM
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  13. DATE: October 31, 2025 at 03:28PM
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  14. DATE: October 31, 2025 at 03:28PM
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    RT @BioWorldScience: Image anomalies found in 40% of brain hemorrhage animal studies (free w/ registration)
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  15. DATE: October 30, 2025 at 03:07PM
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  16. DATE: May 11, 2026 at 02:00PM
    SOURCE: PSYPOST.ORG

    ** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
    -------------------------------------------------

    TITLE: Jailed immigrants show lower risk for criminal behavior than native-born citizens

    URL: psypost.org/jailed-immigrants-

    Research shows that immigrants who are booked into jail have fewer individual risk factors for crime and shorter criminal histories than native-born citizens. This suggests that policies targeting immigrants as inherent public safety threats are based on inaccurate stereotypes. The findings were published in the journal Psychology, Public Policy, and Law.

    Public conversations in the United States routinely depict immigrants as an acute danger to public safety. Rhetoric surrounding border security often paints people entering the country as potential perpetrators of violence. Yet sociological studies consistently contradict this narrative. Research shows that immigrants are actually less likely to violate laws than people born in the United States.

    Scholars commonly refer to this phenomenon as the immigrant paradox. Individuals relocating from other countries often display better health and behavioral outcomes than native-born citizens. This occurs even though immigrants frequently face severe economic disadvantages and the strict psychological toll of adapting to a new society. Both low socioeconomic status and severe stress are usually strong predictors of rule-breaking behavior.

    While the broader population trends are well documented, the specific psychological mechanisms remain less understood. Past studies have largely focused on macro-level data, like neighborhood crime rates. Researchers have spent less time evaluating the individual characteristics that predict whether someone will commit an offense.

    Criminal psychologists refer to these individual traits as criminogenic risk factors. The justice system often focuses on a cluster of primary traits known as the central eight. These mental and behavioral markers include an established history of illegal behavior, an antisocial personality pattern, and an antisocial thinking style that rationalizes breaking the rules.

    The remaining central factors evaluate a person’s immediate environment and daily life. They look at issues like socializing with rule-breaking peers, struggling with substance abuse, and experiencing deep family relationship problems. They also assess educational or employment difficulties and a general lack of positive recreational hobbies.

    A team of researchers wanted to know how these individual predictors differ based on a person’s immigration status. University of Texas at El Paso psychology researcher Jennifer Eno Louden led the project to evaluate people already entangled in the legal system. She worked alongside Theodore R. Curry, Betel Hernandez, Elena Vaudreuil, and Osvaldo F. Morera. They sought to provide an objective behavioral profile of jail detainees in a border community.

    The researchers conducted two separate studies in El Paso, Texas. This region borders Mexico and sees heavy involvement from state and federal border enforcement agencies. For the first study, the team acquired booking records from the local county jail. They analyzed data from more than five thousand successive intakes over several months.

    The team looked at the most serious current charges holding each person in custody. They also reviewed the results of standard pretrial risk assessments conducted by jail staff. Because the facility does not formally record immigration status, the team estimated this based on each person’s recorded country of birth and country of citizenship.

    They divided the data into three groups. These groups included individuals born in the United States, immigrants from Mexico, and immigrants from other countries. The researchers then compared the formal criminal histories across all three categories.

    They found that both groups of immigrants had less extensive criminal histories than their native-born peers. Mexican immigrants showed lower rates of drug abuse charges compared to the other two groups. However, Mexican immigrants experienced higher rates of arrests related to driving under the influence of alcohol or drugs.

    When looking at the overall pretrial risk evaluations, native-born individuals scored highest. They were more likely to have prior felony convictions and were more likely to be under some form of legal supervision. Native-born citizens also exhibited higher rates of housing instability compared to the immigrant groups.

    The second study aimed to build on the first by gathering detailed personal information through direct interviews. Over a period of eighteen months, the team randomly selected and approached individuals recently booked into the same jail. They successfully interviewed nearly three hundred participants.

    Participants were grouped into three categories based on self-reported information. These groups were native-born citizens, documented immigrants, and undocumented immigrants. Trained research assistants administered a widely used psychological evaluation to assess the eight central risk factors for crime. The interviewers also questioned participants about their lifetime criminal actions and their degree of cultural adaptation.

    The interview results paralleled the findings from the initial public records review. Undocumented immigrants had the oldest average age for their first legal offense. Native-born citizens and documented immigrants reported engaging in a higher total number of crimes throughout their lives.

    When measuring the eight central risk factors, native-born citizens scored the highest. Documented immigrants scored lower, and undocumented immigrants scored the lowest out of the three groups.

    Undocumented individuals showed lower risk scores on seven out of the eight evaluation measures. The only category where they scored higher than native-born citizens was in education and employment difficulties. Native-born citizens scored highest in categories measuring antisocial behavior, substance abuse, and associating with problematic peers.

    The formal charges holding these individuals in jail also varied widely by group. Native-born citizens and documented immigrants faced higher rates of violent offenses and property crimes. Undocumented immigrants were primarily locked up for immigration-related offenses like illegal entry.

    The researchers also examined the process of acculturation. This metric evaluates how strongly an individual adopts the mainstream culture of a new country. They found a positive association between adapting to United States culture and carrying increased behavioral risk. Participants who indicated a stronger orientation toward mainstream American culture had elevated risk scores across almost all categories.

    Conversely, maintaining a strong connection to the culture of their origin country was associated with lower risk. The researchers suggest that rapid cultural adaptation might expose individuals to new psychological stressors. It might also connect them to native-born peers who encourage and support rule-breaking behaviors.

    The researchers mapped out several caveats regarding their work. Because all the data came from people booked into a specific county jail, the findings might not generalize to individuals living freely in the community. Changes in local policing practices or officer bias could also affect who ends up in the jail population in the first place.

    Relying on self-reported interview data carries the risk that participants will understate their past criminal behaviors. The researchers attempted to minimize this issue by conducting the interviews in private areas. They also enacted strict confidentiality protocols to make participants feel comfortable answering honestly.

    Another limitation involves relying on official United States records in the first study, which might omit crimes committed in other countries. The team designed the second study to capture international histories through direct questioning, which helped support the initial findings. The researchers stress that their results do not reflect community-wide crime rates, but rather focus squarely on individuals already inside the justice system.

    Future studies should investigate how these specific individual traits predict repeat offending among minority communities. Risk assessment tools used by judges and parole boards might need adjustments to reflect the actual behaviors of immigrant populations. The authors suggest that criminal psychological risk might take different forms depending on a person’s cultural background.

    The findings suggest that border enforcement strategies based on the assumption that immigrants threaten public safety are misguided. Subjecting immigrant communities to heightened police scrutiny diverts resources away from people who actually possess high psychological risk factors. Policies focusing solely on a person’s legal residency status fail to address the true drivers of criminal behavior.

    The study, “Criminogenic Risk Factors Among Immigrants in the U.S.-México Border Region,” was authored by Jennifer Eno Louden, Theodore R. Curry, Betel Hernandez, Elena Vaudreuil, and Osvaldo F. Morera.

    URL: psypost.org/jailed-immigrants-

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  17. 211 Applications on Cookup AI Tour de Force

    I first started using cookup.ai specifically to make a #Graves disease appropriate Recipe Generator for my wife that has #thyroid issues namely #hyperthyroidism . So this recipe is for no-iodine recipes , and it’s not perfect so make sure you specify which ingredients have iodine in them if you see one pop up that shouldnt be there. Here’s one of the first versions that proposes a “california-style buddha bowl” : cookup.ai/o/7-low-iodine-diet- looks tasty ! but i’m not sure on #tempeh if it contains #iodine or not, it really depends how it’s prepared with that kinda stuff ! Here’s one for the recipe generator as the versions improved : cookup.ai/o/low-iodine-diet-re there’s a whole #MealPlan with pretty interesting #recipes for any #meal of the day plus ingredients. Here’s another #MealPlan from more recently : cookup.ai/o/low-iodine-diet-re and another output that gave #noiodine #lowiodine #recipes much better cookup.ai/o/eggs-dairy-contain i’m always interested in ways to make this one better so tell me which version of these you liked best because they’re quite different ! I’m actually a big fan of using #GPT for cooking, it can come up with fantastic recommendations so another cooking app i made is more for the #gourmet : cookup.ai/o/festive-meal-for-s that’s a festive meal for 6 thanksgiving style with seasonal ingredients from spring time. The #FusionFood aspect i really like, plus these #recipes are a bit more advanced. Check out the app here : cookup.ai/o/festive-meal-for-s it’s meant to be a bit more permissive to do go for it with the prompts ! Here’s an example for a christmas flavored #nochew #nosolidfood three course meal : cookup.ai/o/meal-suitable-for- i had in mind adults with the spices but you might ant to try it out for kids and infants’ meals if you’re a #parent . There’s a lot more to it though, what if #FoodIsFuel to you and you need a #mealplanner , well i had you in mind with this one : cookup.ai/o/im-tj-from-france- here’s an example for @taranjeetio because i made that app on @cookupai while talking to him on the phone. Basically they give context about their folks and their goals and it will give otu free meal plans you can use immediately. check it out here : cookup.ai/a/nutrition-meal-pla I have other specifically fitness for you below too ! First i wanna tell you about salad maker : sometimes you know you’re making a salad . This ham and cheese salad is pretty straightforward but hey : cookup.ai/o/ham-cheese-bread-r you can use the app and make your own here : cookup.ai/a/salad-maker-9hjtc9 but if you really go crazy with the prompts it could be a fun one : cookup.ai/o/i-want-a-mauritian . I would be lying to you if i told you that i made the salad generator before the hamburger generator. I always have had a special affinity for the #hamburger as we have all havent we ? Here’s an output for #Pork #Burger with Honey Mustard Glaze : cookup.ai/o/pork-hamburger-gen you can generate your own here : cookup.ai/a/hamburger-generato as always, try to go crazy with the prompts it always works out nicely : traditional hamburger with crunchy onion and thousand island sauce cookup.ai/o/traditional-hambur i also made one for make sandwitches check it out : cookup.ai/o/jeune-pousse-depin as you can see it totally works in #french even though it’s impossible that a french person would make a #sandwitch in #France check out the sandwitch maker here : cookup.ai/a/sandwich-maker-u2g 這道菜融合美國食材和北京風味 i made one in chineese : cookup.ai/o/write-entire-re-ct cool right? Honestly i grew up with few if any access to processed foods or deserts and candy etc, naturally this created a need for me to generate the most #HugeDeserts possible cookup.ai/o/ice-cream-sunday-w basically it’s a mash up of #munchies and massive #desert ideas check it out : cookup.ai/a/desert-maker-ka03p i also made a more refined app for truly #gourmet cooking that provides #michelin -style recipes and meal plans : cookup.ai/o/only-desserts-menu just give context , some ingredients and flavors, maybe describe the event a little , make a mood board and see the output of your prompt . Here’s a meal for six french-style : cookup.ai/o/meal-for-six-tradi check it out here : cookup.ai/a/cuisine-n5ybpykj/ if you’re making a festive meal maybe you need to make a speech : cookup.ai/a/speech-writer-oema , here’s an example for a company retreat : cookup.ai/o/i-need-to-make-a-t and another for a unicorn themed marriage : cookup.ai/o/i-need-to-give-a-s Obviously leftovers happen so i made an #app for that : cookup.ai/o/ham-cheese-bread-r a #french meal with what was in the fridge at the time check it out for yourself here : cookup.ai/a/leftovers-s3clkb07 Now you have your recipes, you might want a shopping list : cookup.ai/a/shopping-list-q1br here is an example for household shopping : cookup.ai/o/shopping-in-spring here’s another for christmas shopping : cookup.ai/o/season-domestic-sh well, my wife is a florist so i made an obligatory flower bouquet making app for her. cookup.ai/o/round-bouquet-with here’s one for an indian-style wedding check it out for yourself here : cookup.ai/a/make-a-flower-bouq just type in whatever you’re feeling like , give some context if you want , i noticed it tends to make round bouquets, so maybe that’s a clue how #florists will differentiate themselves from the machines ? Another #app i’ve been using a lot is the Story Time app , just give a promt with some context (Style Of Story , Tradition , Language , Age Of Child , Moral Of The Story) it’s a fun way to generate a “bedtime” story for kids : cookup.ai/o/allegorical-tale-o this one is “allegorical tale of two cities that trying to grow close to eachother” , or what i use it for : #PoemsInSpanish for my wife cookup.ai/o/un-poeme-de-style- then i send those to her which improves my home life by 12.7% , bonus points using this to generate something you like then running the output into @tomeapp to make a picture book poem that you can share. I think the @cookupai team tried to steal this prompt from me check it out you tell me : cookup.ai/o/tell-me-your-instr if you can guess the #prompt magic , i’ll send you a little gift with acknowledgements - three guesses if you wanna play , let’s go. The person who tried this unsucessful prompt injection attack is really incompetent , but nonetheless I did make some prompt injection apps. Here are some examples that “give you bad advice” by bypassing the filters : 1/ cookup.ai/a/devil-ytdjnbv4/ , 2/ cookup.ai/a/evil-angel-w6iwi2w 3/ cookup.ai/a/evil-mind-7tztxrde cookup.ai/a/bad-influence-hpsb these are all different ways to bypass the filter, some have been fixed already, some not. Another prompt injection app i made is this one a. cookup.ai/a/essay-writer-detec rand b. this one : cookup.ai/a/essay-writer-detec right now they dont fully work unless you copy paste in a markdown editor but with a few updates to the site it will work seemlessly, i’m sure. There are other examples i’ll get to below also, so keep reading. These are already “useful” prompts in as much as you use them to “do” something , in this case an essay. Before i jump into all that, i want to show some other apps “closer to home”. My wife came with a #SmallDog , and she’s so smart and can learn a lot of tricks, so i made an app to teach my #DogTricks : cookup.ai/a/train-your-dog-nuc . Even though you can use it for the “standard fare” like : how to catch a frizbee midair and do a backflip cookup.ai/o/large-labrador-ver you can also use it for more behavioural stuff like walking without a leash , an example for my dog cookup.ai/o/small-female-dog-w . Did you ever wonder what it would be like to read blogs written by all the neihborhood dogs that you see all the time ? me, yes, so i made an app for that : cookup.ai/o/i-went-home-withou seriously these crack me up cookup.ai/o/roxanne-little-dog those two from my dog’s perspective, funny how naive it is while from my POV things were pretty different . I think this app has a future because someone liked it so much they tried to hack it lol : cookup.ai/o/wrong-redirect-dog my prompt magic is too delicious for cheap tricks do not try it (or do, but DM first and do it better - ha !) Well, on the topic of dogs , my buddy was over and all he could come up with was “make a snoop dogg app” , so i was like “okay” , it’s a bit cheesy and there’s loads more to it than this, which i get into below but here’s the app, you tell me : cookup.ai/a/snoop-doggy-fya-dz i kinda broke it trying to fix it but i’m working with more profound models now, little passion projects like this could really take off with more creative characters. So obviously I made a bunch ! Do you like Archie Comics ? here’s the Archie Comics app : cookup.ai/a/archie-comics-mlbc here’s an example : cookup.ai/o/archie-goes-to-the Another story app i made is for Tintin : cookup.ai/a/tintin-visits-dark i tried to make tintin anti-colonial but it didnt work : cookup.ai/o/the-story-begins-w here’s one i made in french : cookup.ai/o/tintin-visit-une-u actually i never read tintin in english so i made the app pure french too : cookup.ai/a/tintin-spypylpb/ here’s when i tried to make tintin anti-colonial : cookup.ai/o/lhistoire-commence here’s when they go to cyprus : cookup.ai/o/tintin-et-sa-bande another french character i’m fond of is Fantomas : cookup.ai/a/fantomas-ffrg7q7t/ here’s a nice example : cookup.ai/o/fantomas-se-change an English-speaking series i loved was the bastard operator from hell : cookup.ai/a/bastard-operator-f here’s a story about him automating his work : cookup.ai/o/automating-replies here’s one where a customer calls his private number : cookup.ai/o/customer-called-my here’s one about replying to suppliers : cookup.ai/o/responding-to-emai I’m in #Paris so i made one as a tribute to Charles De Gaulle , he only answers in french though, maybe the historical figure spoke english it’s hard to tell : cookup.ai/a/charles-de-gaulle- try it out for yourself here. i had to test it out for #politicalcorrectness though , him being a military man : cookup.ai/o/aurie-vous-soutenu , but more on that later. In that same spirit, i made one for egyptians, i have a lot of egyptian friends that’s why, it’s the character of Nasser , founding father of modern #egypt , i asked him what he thought of islamic fundamentalism in #egypt : cookup.ai/o/should-we-promote- try it for yourself : cookup.ai/a/nasser-1oboq8al/ it’s totally free of course ! In the same spirit i made one for Ataturk, founding father of modern turkey, hopefully some turks use it to clarify what he would think of what’s happening today - cookup.ai/o/would-you-support- try it out here : cookup.ai/a/ataturk-fhlahkzp/ I grew up in india a bit , so that country’s dear to me too , and same story as tukey and egypt , so i made a gandhi app : cookup.ai/a/gandhi-3hoafvto/ , it also works in #Hindi here’s for क्या आप भारत में धार्मिक अल्पसंख्यकों के अधिकारों को हटाने का समर्थन करेंगे? cookup.ai/o/-mbasqnlq8j/ try it out in gandhi’s own words : cookup.ai/a/gandhi-hindi-only- another i did in #sanskrit and #hindi is Rama : cookup.ai/o/my-wife-is-missing here he gives me life advice based on context , if you’re into it it’s actually pretty fun : cookup.ai/a/rama-w0sw0xhi/ . Other characters i made are contemporary politicians, i figured there would be enough of their written and transcribed text that they would have their own voice. Here’s Macron responding to someone that wants to vote far-right : cookup.ai/o/je-mappelle-charle ask him anything here : cookup.ai/a/macron-k7sengs7/ i also did Bill Clinton , and obviously someone asked him “if he did” cookup.ai/o/did-you-sleep-with ask him yourself here : cookup.ai/a/bill-clinton-agc9l well, if you have Bill Clinton you also need Obama cookup.ai/a/obama-yxaczjwa/ and Joe Biden , here, explaining what he will do to stem the boogie man epidemic cookup.ai/o/what-would-you-say I also made a #Jesus #App where you can basically talk to jesus, say a little about yourself what’s on your mind and get an answer from Jesus in his own voice. Here’ a follow up to my dog getting away story : cookup.ai/o/my-wife-is-not-spe and here’s when my friend asked him about pot : cookup.ai/o/is-it-wrong-to-smo (btw ask the same question to one of the bad characters above, see for yourself) here’s the app if you want to try with your own prompt : cookup.ai/a/jesus-8ogjcelj/ jumping straight off from #Jesus to #Prayer , here’s a christian prayer generator that i used for my buddy i met here : cookup.ai/o/a-prayer-for-nate- generate your own here : cookup.ai/a/christian-prayer-d obviously if you have christian prayer you should provide sabbath prayer too : cookup.ai/o/no-quorum-family-s and the #FridayPrayer app from the Imām Jamā'ah perspective : cookup.ai/o/a-small-congregati prayer is not something but guided (and purposeful!) meditation is something i do all the time, so of course there’s an app for that. here’s one for body awareness : cookup.ai/o/i-want-to-meditate use the guided meditation app here: cookup.ai/a/guided-meditation- run the output through an AI voice synthethiser and tell me what you think. I also made some apps for domestic work. This app create a custodial plan : cookup.ai/o/3-bedroom-apartmen just provide context and recieve a full custodial plan here : cookup.ai/a/domestic-work-cust this one helps with utilities planning : cookup.ai/o/three-bed-room-app Something folks have to do frequently is to figure out how to fix something : cookup.ai/a/fix-anything-v3sky here’s an example for a car : cookup.ai/o/fiat-punto-engine- an here’s an example with power cable : cookup.ai/o/lenovo-legion-my-p and someone else with a similar problem : cookup.ai/o/cellphone-bison-no and of course the gardening and landscaping applications. This is the output for a small urban garden in paris : cookup.ai/o/small-urbad-garden try it out for yourself and your latitude here : cookup.ai/a/domestic-work-gard this is a similar application but with a different flavor : cookup.ai/o/small-urban-garden just use the one where the output is more like what you’re looking for, really you need both though . Test it out here : cookup.ai/a/domestic-work-gard if you’re not gardening you might be landscaping so here’s the app for that : cookup.ai/a/domestic-work-land here is the output for a small urban garden : cookup.ai/a/domestic-work-gard my favorite application so far has been the plant diagnosis app : cookup.ai/a/bulbi-plant-doctor it’s really surprising how well it works , and the breadth of assessment and remedies it suggests. Here’s an example for a sick cactus : cookup.ai/a/bulbi-plant-doctor (now it’s doing better) here’s an example from when someone tried it for cannabis : cookup.ai/o/purple-punch-canna i dont know if i would actually follow that suggestion actually. Worked perfectly for a Meyer Lemon Tree giving plant-specific advice that you would have got from a local expert : cookup.ai/o/meyer-lemon-tree-i the plant diagnosis worked so well that i did make a people doctor app : cookup.ai/a/doc-the-health-ass it’s a bit more complicated and the quality of the outputs really depends on the quality of the inputs , so if you use this app, make sure you write in complete sentences and try to answer every question and aspect. here’s the output for a 50 year old man with an upset stomach : cookup.ai/o/i-am-a-56-year-old here’s another for a woman of a certain age : cookup.ai/o/i-am-a-56-year-old and finally an assessment for a respitory issue : cookup.ai/o/i-am-a-56-year-old i’m quite satisfied with that output suggesting a comprehensive evaluation by a board certified doctor. Another app in this category i the Pet Vet App. It’s meant as an assitant for folks that might need help with their pets : cookup.ai/o/name-roxanne-mix-r that’s an example for my dog. Try assessing your pet here : cookup.ai/a/pet-vet-9ruwhazw/ Another important app is the Therapy app : actually in term of professions the Legal profession stands to be disrupted by crowdsourced jurisprudence based models . These apps wont do that. This app will produce a legal brief : cookup.ai/a/lawyer-juhp36s1/ Here it produces a legal brief for the presale of replacement organs : cookup.ai/o/i-am-a-56-year-old This Legal app takes another perpective to produce a legal approach and strategy : cookup.ai/a/board-member-legal here’s an example output following up on the above: cookup.ai/o/how-can-i-assure-t you can also use this app for a legal appeal : cookup.ai/a/legal-appeal-y6e4u here’s an example from an international appointee to a board being asked to step down : cookup.ai/o/im-being-asked-to- Another legal app produces a O-1 visa letter for someone. Here’s an example from @OliviaLi , actually she was the inspiration for this app : cookup.ai/o/technology-entrepr thank you for using this app , hope you had a laugh with it :-) another example from my model friend i met in paris : cookup.ai/o/nate-20-years-old- try it out for yourself here : cookup.ai/a/legal-o-1-petition Then I made a few content apps for legal contracts , for example this app produces company statutes like so : cookup.ai/o/we-are-a-life-scie try it out here : cookup.ai/a/legal-company-stat This app makes a pre-nuptual agreement cookup.ai/a/legal-prenuptial-a try it out ! example output using my personal context : cookup.ai/o/were-a-young-coupl & here is the same context above for a divorse agreement : cookup.ai/o/were-a-young-coupl try the divorse agreement app here : cookup.ai/a/legal-divorce-agre Another tool is to produce Service Level Agreement cookup.ai/a/legal-service-leve here is an example output taking cookup ai as an example : cookup.ai/o/i-provide-artifici I made a sales contract generator too : cookup.ai/a/legal-sales-agreem here’s an example output for a GIS consultant : cookup.ai/o/im-a-consultant-in this one makes a Loan Agreement : cookup.ai/a/legal-loan-agreeme here’s an example “ from james to kian in paris france for the sum of 30.000 euros to be repaid in full using a payment plan over two years” cookup.ai/o/from-james-to-kian There’s also a Leasing Agreement Generator that jurists or companies can use : cookup.ai/o/were-a-commercial- that’s an example , click “generate another” to make your own. Something folks can use is a co-residency agreement, among housemates for example : cookup.ai/o/nate-james-richard I also made an employment contract generator for companies to use. Here’ an example for a post-doc level biofabrication person cookup.ai/o/post-doc-research- i added the job description as the input. Speaking of jobs, this app is one of the more popular ones : cookup.ai/a/career-planner-47f just give context around what you’re after who you are , that sort of thing and it will provide a career plan by selecting professions giving you key information on these professions and advice on what you need to do to get there. It also works great if you search professions by name : cookup.ai/o/product-management here’s one for “Introvert wants to be a doctor” cookup.ai/o/introvert-wants-to Get to know yourself better by taking famous self assesments . Here’s an example for RAISEC and OCEAN self assessment models (ref. Holland) : cookup.ai/o/what-brings-me-joy another way to work with 5 Factor models is by using Myers-Briggs Questionaire, here’s an example for an INFJ (Introvert, Intuition, Feeling, Judgment) , it also suggests compatible personalities, so check it out for yourself here : cookup.ai/a/career-myers-brigg once you’ve figured out your path you might want to generate a motivation letter. here’s an example for a banking job with the cv copy pasted as input cookup.ai/o/royce-lopez-roycez once you’ve done your self assessments, you might want some career advice , so check out this app cookup.ai/a/career-coach-57m4z see this example from my buddy nate to give you an idea : cookup.ai/o/nate-20-years-old- Another app that i’ve found nice is the career advisory service : cookup.ai/a/career-advisor-tdf it really produces a very interesting and robust output as you can see here : cookup.ai/o/nate-20-years-old- sometimes you have to analyse a policy , so here’s an app that speaks every language and can do it aptly, with an example in french : cookup.ai/o/la-strategie-de-no just copy paste a description of the policy here : cookup.ai/a/policy-brief-analy and an example in english for “private-sector employees' basic pensions” cookup.ai/o/in-france-private- sometimes you need your brief in a specific UN format , so here’s an example from the Idaho shootings : cookup.ai/o/cnn-in-the-weeks-a copy and paste the situation and context here to see for yourself : cookup.ai/a/un-brief-vgqpmfni/ this app is more of a shortform straight forward flavor of political brief , here’s an example from the US house of representatives : cookup.ai/o/but-its-worth-noti copy and paste a news article here : cookup.ai/a/policy-brief-mbfdq Another type of assessment is the civil engineering asssessment : cookup.ai/a/civil-engineering- here’s an example for a fantasy company that has a smelting plant and produces biological agents: cookup.ai/o/were-a-small-manuf that sounds a bit scary doesnt it ? so here’s an app for risk assessment and business continuity planning : cookup.ai/a/business-continuit just describe your situation the best way you can and press “generate” , here’s an example from the company above : cookup.ai/o/were-a-small-manuf You can also use the safety and security assessment app : cookup.ai/a/safety-security-as here’s an example for a small company : cookup.ai/o/were-a-small-manuf and an event : cookup.ai/o/were-a-medium-size If you’ve ever had to respond to an incident you’ve had to produce a sitrep , which is a description of the situation : cookup.ai/a/emergency-response just follow the inputs and answer in complete sentences for best results. This is to be used by responders to an emergency . It’s resilient to empty inputs and shorthand writing in case you’re really in a rush : cookup.ai/o/a-6-year-old-child sometimes you need a bit less than that so you can use this tactical brief application : cookup.ai/a/tactical-brief-jno here’s the output for the example above so you can see the difference : cookup.ai/o/a-6-year-old-child here you can see the special flavor it has : cookup.ai/o/the-dog-escaped-an if you like this kind of tactical stuff, you’ll really like this one : RedTeam / GreenTeam and BlueTeam . Red Team is an offensive plan : cookup.ai/o/take-over-a-gas-st this one for a gas station in ukraine. Blue Team is a non-lethal operation planner : cookup.ai/o/protect-a-gas-stat that’s an example to protect a gas station. Green team is the defense operations planner : cookup.ai/o/protect-a-gas-stat try your own here : cookup.ai/a/blue-team-gassdypa You’ll also need this one : a load out app based on your mission. Here’s an example for taking over a gas station in ukraine : cookup.ai/o/i-need-to-take-ove here’s the example for russia : cookup.ai/o/i-need-to-take-ove notice the subtle load out differences : cookup.ai/o/i-need-to-take-ove this example is from a NATO country. Do your own here : cookup.ai/a/loadout-5ign0mqm/ Another example is video games, where you need to build up a character and their items and so on, that’s also a loadout : cookup.ai/a/loadout-for-games- here’s an example from call of duty 3 : cookup.ai/o/i-want-to-play-as- here’s an example for a DnD dwarf : cookup.ai/o/a-goblin-in-dungeo On the topic of games here’s one that makes a game : cookup.ai/a/gamer-make-a-game- here’s one inspired by munchkins: cookup.ai/o/medieval-theme-in- maybe that would be a good starting point if you’re actually making a card game. maybe you want to make a board game board game , this is an example still sticking with the munchkin vibe : cookup.ai/o/medieval-theme-in- try it out for yourself here : cookup.ai/a/board-game-mpovs8d another fun app that’s quite useful for folks is the sound selection aid . here’s an example for dusty drum and bass : cookup.ai/o/drum-and-bass-down and here’s one for “mexican” : cookup.ai/o/mexican-sound-sele quite a simple input for a very rich output. hope you enjoy it. Another app i think is quite nice is the music lesson app. This is more a lesson planner for a music teacher, but good learners can probably use it too. here’s one for guitar that someone learning guitar made : cookup.ai/o/guitar-rock-practi here’s one for tabla that someone made : cookup.ai/o/tabla-20-musical-e very cool choice of instrument ! Check it out here : cookup.ai/a/musical-exercise-t Another couple apps i made for music is Chord Progress and GAS-AI . Chord Progress proposes a chord progression based on your input and describes each chord for inspiration. Here’s an example for Blues : cookup.ai/o/bbm-piano-blues-do really rich output. This one used it to make chords into a midi file : cookup.ai/o/generate-a-chord-p really cool stuff ! here’s an example for a different style of music : cookup.ai/o/moody-dark-under-t try it out for yourself here : cookup.ai/a/chord-progress-9ud One of my apps where people are actually using it and it makes me laugh is the Gear Aquision Syndrome app : GAS-AI . Basically it compares what all you’re considering to buy and evaluates them for you. Here’s an example for a sound card and interface with four possibilities cookup.ai/o/audio-interface-in here’s a similar problem : cookup.ai/o/i-need-a-audio-int try it out for your own gear : cookup.ai/a/gasai-gear-acquisi it actually works for everything : here is a sofa : cookup.ai/o/should-i-buy-a-sof try it with drills or power tools. Lots of really interesting education and learning related apps are possible. Here’s one for a Lesson Plan, I made it with K-12 in mind, but you can push the level with the right subject matters, it all depends on your input. Here’s an example for social studies grade 3 : cookup.ai/o/social-studies-goo here’s one for a scientific method lesson for teenagers : cookup.ai/o/lesson-plan-for-k- and here’s one that a parent used as inspiration for a science fair project: cookup.ai/o/lesson-plan-for-k- try it for yourself here : cookup.ai/a/lesson-plan-for-k- another classroom friendly app is the lab report app : just copy and paste a protocol or your unstructured text and see. Here’s one that’s for an ezyme experiment : cookup.ai/o/enzyme-experiment- And another for a physics experiment : cookup.ai/o/highschool-physics try it for crispr or other more complex experiments to have a jumping point for your own journaling here : cookup.ai/a/sci-doer-lab-repor Another one i like is generating protocols for any experiment. The simpler the better and the more precise the input the better the out. Here’s one for the science fair digestive system : cookup.ai/o/construct-a-model- (just an inspiration) see this one for CRiSPr : cookup.ai/o/crispr-sci-doer-pr here’s one to take nasa data and annotate it : cookup.ai/o/develop-an-app-tha try it out for your own experiments here : cookup.ai/a/sci-doer-protocol- Sometimes you need an arts & crafts activity on the go. Here’s an example for a basic activity : cookup.ai/o/we-are-three-adult try it for yourself here : cookup.ai/a/arts-crafts-kglkhm Another way to get inspiration for activities is the Extramural Center activity app , here’s an example for a small group and a selection of activities : cookup.ai/o/6-13-year-olds-wit try it for yourself with your own context here : cookup.ai/a/extramural-activit There’s another app i made which i like a lot which is a physical activity generator : cookup.ai/a/k-12-physical-acti . See this example for a parachute game : cookup.ai/o/for-10-9-12-year-o or this one for a team game : cookup.ai/o/for-10-9-12-year-o Sometimes you need to break the ice before you start activties : check out the ice breaker app . Here’s an example for a group of adults : cookup.ai/o/a-small-get-togeth here’s a list of activities for young people : cookup.ai/o/a-gathering-of-a-h get your own instantly by prompting it here : cookup.ai/a/icebreaker-activit you know how you need to make team names sometimes ? this one makes those team names with each letter of a word : example for NATE : cookup.ai/o/nate-acronym-poem- and TARANJEET : cookup.ai/o/taranjeet-acronym- Another App I made was the swimming plan app, based on your context and objectives, you’ll get a custom swimming plan : cookup.ai/a/swimming-plan-2dka Here’s an example for a young adult trying to get back in shape : cookup.ai/o/young-adult-strong It also works in multiple languages, for example here in french : cookup.ai/o/jeune-adultes-obje For fitness I also made an app to propose a session for you : cookup.ai/a/fitness-daily-exer here’s an example with a high level of cardio : cookup.ai/o/nate-20-years-old- here’s another with multiple days : cookup.ai/o/nate-20-years-old- another way to go about it is to vary week on week, so here’ a weekly fitness planner : cookup.ai/a/fitness-plan-weekl here’s an example using me : cookup.ai/o/34-years-old-stren here’s a prompt i actually copied from someone on cookup : cookup.ai/o/can-you-generate-a here’s another fitness app that combines daily and weekly fitness plans : cookup.ai/a/fitness-exercise-p check out an example for Nate : cookup.ai/o/nate-20-years-old- here’s another with a different goal : cookup.ai/o/nate-20-years-old- since we’ve done weekly we need a monthly fitness plan app : cookup.ai/a/fitness-plan-pxmtj this is an example taken from me : cookup.ai/o/34-goal-fitness-ob and another with the previous cookup ai prompt : cookup.ai/o/34-goal-fitness-ob Another fun app is the Planner : cookup.ai/a/planner-yad83kfl/ here’s an example for three people that want to meet : cookup.ai/o/claude-francois-an it helps you set an agenda and generate a ics file to add to the calendar . here’s one someone made for a specific company : cookup.ai/o/dynatrace-introduc you can even use it to plan a board meeting. Try inviting these AI board members that will give you pretty decent advice. Here’s one for strategy : cookup.ai/a/board-member-strat for example with the manufacturing plant above : cookup.ai/o/were-a-small-manuf here’s a similar one that’s from McKinsey : cookup.ai/a/board-member-mckin with the same manufacturing plant above : cookup.ai/o/were-a-small-manuf every boad needs a business process expert : cookup.ai/a/board-member-proce here’s an example from the same manufacturing plant above : cookup.ai/o/were-a-small-manuf A really useful one is the financier app : cookup.ai/a/financier-etv18bpn basically copy paste financial information , for example some passages from a K-10 : cookup.ai/o/during-the-nine-mo There’s more to business than advisory and analysis , though. In some roles you have to make product requirement documentation in specific formats. This app does that for you : cookup.ai/a/product-feature-re and with an example from cook up : cookup.ai/o/write-product-requ here’s one to create a payment system : cookup.ai/o/product-requiremen very rich output indeed. In entrepreneurship you often need to find someone for doing a specific job. This app reccomends folks for your jobs : cookup.ai/a/expert-finder-find here’s someone that used it to fix the smell in their bathroom : cookup.ai/o/smell-in-the-bathr another example to host a meeting : cookup.ai/o/i-need-to-host-a-b Here’s an app to create a logistic plan : cookup.ai/a/logistics-planner- i tried to help me transport the mona lisa from paris to my garage in new york cookup.ai/o/i-want-to-transpor here’s another example for transporting organs using UAVs : cookup.ai/o/i-want-to-deliver- Probably to run this whole thing you will need an operations plan : cookup.ai/o/a-biofabricated-or just input as much information as possible and see for yourself : cookup.ai/a/business-operation You might need to create a business information model to integrate business opertions . This application gets you started : cookup.ai/a/business-informati here’s an example for a biofabrication company : cookup.ai/o/we-are-a-life-scie here’s the same example , but a bit more descriptive : cookup.ai/a/business-informati came out really nice ! The most difficult part of the entrepreneurship for me was always the business modelling . Here’s a business model app : cookup.ai/a/business-model-lkh just write in freeform what you need to analyse. Here’s an example for a biofabricated organ : cookup.ai/o/crowdfunding-presa and another with the same example: cookup.ai/o/presale-of-biofabr btw here’s a tribute app to Hal Varian : cookup.ai/a/hal-varian-micro-e to assess the microeconomics of anything cookup.ai/o/an-employment-cont One of my most popular apps is the Structure a Business Idea App : cookup.ai/a/structure-a-busine here’s an example for a No Code Agency : cookup.ai/o/no-code-agency-we- here’s an example for a biotech : cookup.ai/o/services-to-preven here’s one for a sustainability platform : cookup.ai/o/building-a-platfor the more your write as input the better the output, usually . The king of apps when it comes to this stuff is MindMap : cookup.ai/a/mindmap-create-str just write your unstructured thought in freeform and it will structure them and improve the overall idea. Here’s someone that tried it for backcountry permits in Yosemite : cookup.ai/o/getting-a-backcoun Another used it with the simple word “evolution” cookup.ai/o/evolution-mindmap- here someone used it to explain prefect tense in french : cookup.ai/o/explaining-the-pre normally you would be writing your full thoughts in freeform , but here you see someone use it for university analytical work : cookup.ai/o/community-college- once your idea is structured the idea would be to have it evaluated by a VC. This app does just that : cookup.ai/a/venture-capitalist here’s an example from UAE : cookup.ai/o/licenses-reseller- here’s someone who asked a question about monetizing spreadsheet apps : cookup.ai/o/how-do-i-monetisea here’s another for a fashion business : cookup.ai/o/an-apparel-busines here’s an example with a better prompt : cookup.ai/o/in-addition-to-red you might not be an entrepreneur, you might be applying to a job, here’s an app to help you prepare : cookup.ai/a/the-interviewer-si here’s an example for a humanitarian logistics role in bangladesh : cookup.ai/o/for-a-senior-human just copy and paste the job description it should work quite well. Another important activity for folks is financial planning. Actually , you can also produce a job description with the Job Description App : cookup.ai/a/business-job-descr here’s an example for a chemical engineer : cookup.ai/o/regenererex-we-are This app helps you build a personalized financial plan based on your personal context : cookup.ai/a/financial-plan-6vk here’s a general example for “single guy 36 working in software in boston“ cookup.ai/o/single-guy-36-work here’s a more specific example for my buddy Nate : cookup.ai/o/nate-20-years-old- a Financial Plan is great but you will eventually need a financial program. These are different things! Check it out here : cookup.ai/a/financial-program- here’s the example from Nate, above : cookup.ai/o/nate-20-years-old- very nice output, it’s more advisory and actionable in nature. When i met my wife she was a fashion designer. That’s the inspiration for the Seamstress App : cookup.ai/a/the-seamstress-so4 just enter a prompt and generate a description of the clothes . Here’s an example for a Dune inspired dress : cookup.ai/o/an-off-white-dress here’s one in french for a princess dress : cookup.ai/o/robe-de-princesse- Then you take that , and feed it to make a sewing plan : cookup.ai/a/sewing-plan-7qtvyv here’s the example of the Dune dress : cookup.ai/o/this-off-white-dre and the princess dress : cookup.ai/o/cette-robe-de-prin but nowadays everything is done on computer , so i made an app to take the sewing plan and make the digital figures required by most modelling programs : cookup.ai/a/cutting-planner-p1 it’s basically the cutting plan, here’s from the example above : cookup.ai/o/cutting-plan-descr just save as json. Here’s from the Dune dress : cookup.ai/o/cutting-plan-1-cut a couple of other fun apps are the interior design and architecture apps. Interior design : cookup.ai/a/architect-interior see and example for a living room : cookup.ai/o/salon-pour-recevoi and another : cookup.ai/o/salon-pour-recevoi interior is one thing but architecture is another : cookup.ai/a/architect-plan-cfq just describe the building style you want to get an architectural brief : cookup.ai/o/stone-facades-plai this is the analysis for hausmann architecture based on a simple description. great success. The marketting apps, is what a lot of the audience has been asking for. Here’s one to make a marketting plan : cookup.ai/a/marketing-plan-2tm it actually works great ! here’s an example from a single person accounting firm : cookup.ai/o/i-am-an-engineer-b here is an example for a replacement organ producer : cookup.ai/o/founded-in-2009-we great stuff, high value outputs, i’m happy. When you’re doing marketting one important thing to do is to target the customer and audience. This is the targetting app for that : cookup.ai/a/marketing-targetin here it is evaluating a campaign that might be misaligned : cookup.ai/o/cookup-ai-is-a-no- here is an example for a single person accounting firm : cookup.ai/o/i-am-an-engineer-b here for a manufacturing firm : cookup.ai/o/were-a-small-manuf it really depends on the quality of your inputs the outputs you will recieve . Once you have targetted your audience , you need marketting copy , try this app : cookup.ai/a/marketing-copy-wri based on the input you give it will generate unique marketting copy . Here is an example for a pharmaceutical firm : cookup.ai/o/were-a-small-manuf here is an example for a commercial message : cookup.ai/o/were-a-small-manuf once you have published your marketting copy you need to follow up with sentiment analysis to see how folks are responding to it. Analyse the sentiment of anything with this app : cookup.ai/a/marketing-sentimen here’s an example from a negative case (trigger warning) in Dutch : cookup.ai/o/een-interessante-z here is a positive example in chineese language : cookup.ai/o/-7lv1hk1sqy/ Another important marketting activity is conducting and analysing survey data. HEre’s the survey app : cookup.ai/a/survey-unstructure basically what you do is copy paste your unstructured data directly inside it and it will produce a full assessment of what you need . Sometimes you need to write a profile for yourself optimized for commercial activities. Here’s a Marketting profile app : cookup.ai/a/marketing-profile- from our example above : cookup.ai/o/38-years-male-i-am another profile but written in first person view : cookup.ai/o/38-years-male-i-am but sometimes you need to make these profiles for SEO optimization. Here is an example from above : cookup.ai/o/profile-descriptio or for an enterprise : cookup.ai/o/solving-for-nri-in check it out for yourself here : cookup.ai/a/seo-fuxlixw3/ sometimes you need to produce SEO-optimized copy , Try using this app i made for that : cookup.ai/a/seo-optimized-text basically you should paste your text in there and it will optimize it for engagement for you. here’s an example : cookup.ai/o/we-are-a-life-scie hope you like using it ! Sometimes you need to convert something into an SEO optimized text, here’s an app for that : cookup.ai/a/seo-convert-oew8ga For example for a lifesciences company : cookup.ai/o/we-are-a-life-scie here is a re write for a text about a building in Paris : cookup.ai/o/le-complexe-archit try it out and tell me what you think. You might already have the text you want but need hashtags, check out this app : cookup.ai/a/hashtag-generator- here’s an example for a crowdfunding campaign : cookup.ai/o/crowdfunding-campa and the same campaign but in Spanish : cookup.ai/o/crowdfunding-campa Marketing is actually a pretty diverse job , so sometimes you have to design media like videos and so on. This app is the scenario maker : cookup.ai/a/scenario-sacr0cs5/ you can use to make advertisements : cookup.ai/o/we-are-a-life-scie or actually as a writing aid. Another writing aid i made is the story arc : cookup.ai/a/story-arc-sbmt20if here’s an example for a story in paris : cookup.ai/o/paris-in-the-futur here is an example from a real writing class : cookup.ai/o/lamour-en-lan-3000 and another from the same class : cookup.ai/o/on-mars-in-3000-a- I actually see the whole class used the app lol, how cool is that? Another app in the same style is the Text Styler app : cookup.ai/a/text-styler-epclaw here’s how it works : cookup.ai/o/a-biofabricated-or pretty cool right? it works on any text in any style. Actually one writing app that folks have been using randomly is the email writer : cookup.ai/a/the-emailer-hoe5yq here’s an email i wrote to TJ : cookup.ai/o/write-an-email-to- here’s an email my buddy mamadou wrote in french in agressive style : cookup.ai/o/voici-les-copies-d (btw the output is very diplomatic) here’s another example when someone is launching an AI-driven SaS company. To communicate on twitter sometimes it’s necessary to make a thread. Just copy and paste the text your want to turn into a thread here : cookup.ai/a/twitter-thread-mak here’s an example for finance cookup.ai/o/cfa-iitdelhi-inves another job marketters have to do in small teams is to make a design mockup for the designers. Try to make your own using this app : cookup.ai/a/design-mock-up-wrq here’s an example for “a logo of a dog for a street vending franchise “ : cookup.ai/o/a-logo-of-a-dog-fo and here for “icon of a small cute dog for client” : cookup.ai/o/icon-of-a-small-cu then you take that output and make mock up instructions for producing a mockup : cookup.ai/o/we-are-a-life-scie try with your output here : cookup.ai/a/design-mock-up-ins then you take that output and use that in your favorite design software like Adobe : cookup.ai/a/design-mock-up-ado here’s the example with the logo above : cookup.ai/o/the-mock-up-above- and just for a “dog” cookup.ai/o/dog-design-mock-up basically you take that output and save it as a *.ai file and you can open it in illustrator. Many folks also use Autocad : cookup.ai/a/design-mock-up-aut here’s an example with the dress above : cookup.ai/o/beautiful-white-dr and for the dog logo with the mockup output : cookup.ai/o/mock-up-of-doggy-d a lot of the time your mockup will be for a webpage , here’s an app to generate that : cookup.ai/a/design-mock-up-htm we’re still working on all that at cookup so there’s a fair bit of injection happening right now : cookup.ai/o/home-page-for-a-sm sometimes for more advanced stuff, you do things in Java : cookup.ai/a/design-mock-up-jav here’s the example for the dress : cookup.ai/o/beautiful-white-dr and the website : cookup.ai/o/home-page-for-a-sm for most other applications you might use json files , try this app : cookup.ai/a/design-mock-up-jso here’s the example for the webpage : cookup.ai/o/home-page-for-a-sm another pretty important activity for designers is making logos . This app makes an svg file : cookup.ai/a/design-tools-logo- here’s the example for the dog logo above : cookup.ai/o/the-mockup-of-a-lo here’s another example cookup.ai/o/wireframe-instruct i used the adobe illustrator output for that one . Remember the app for the lesson plans for the kids ? here’s an app that makes exercises based on the parameters of the lesson plan for any subject : cookup.ai/a/exercise-problems- here is an example for learning the french language : cookup.ai/o/difficult-french-a here is an example with simple math problems for a 14 year old : cookup.ai/o/difficult-algebra- here is one for more difficult math problems for a 22 years old grad student cookup.ai/o/difficult-mathemat i dont know if would be able to solve these (but probably yes :-) ) Another app to do this maybe a bit better is the WorkBook app : cookup.ai/a/quiz-workbook-for- here’s an example for 17 year old student in 11th grade physics class cookup.ai/o/17-year-old-studen here’s one for "4th grade, digestion rates cookup.ai/o/science-4th-grade- here’s another for worldwar 2 : cookup.ai/o/history-worldwar-2 folks have been using this app a lot actually ! Now that you have all your questions maybe you need help to solve some ? Here’s the Problem Solver App : cookup.ai/a/problem-solver-lrs here’s an example for algebra : cookup.ai/o/fx-3x-3-for-x-real here’s another for calculus : cookup.ai/o/let-the-interval-a Maybe you’re a student that needs to write an essay or you need an example essay , or really, to write anything : cookup.ai/a/essay-writer-jv1ao this essay writter can help you write something for example on homeostasis : cookup.ai/o/efine-the-term-hom or an essay on how to stop procrastinating : cookup.ai/o/listing-the-4-ways if you’re afraid of running afoul detector policies , try the detector proof easy essay app free here : cookup.ai/a/easy-essay-detecto here’s an example : cookup.ai/o/on-the-topic-of-fi it replaces certain letters with a nullspace then the letter to evade detection, if you’re getting a lot of symbols in the essay copy paste it into a markdown editor and they should disappear. See here since markdown is not supported : cookup.ai/o/how-to-avoid-plagi sometimes when you’re writing you need to argue from A to B , try it here : cookup.ai/a/from-a-to-b-reason here’s an example : cookup.ai/o/nucleotides-are-im try it in any subject. Conversely, you might need a counter argument for a given claim : cookup.ai/a/logic-counter-argu here’s an example for If you want to find a good job, you should work hard: cookup.ai/o/if-you-want-to-fin In many writings you’ll also need tables, copy paste unstructured data (ex. from a pdf ) to make a table in markdown format : cookup.ai/o/chemicals-peptides copy paste the output in a markdown editor for best results. sometimes you want to analyse your data , check out this app , copy paste your pdf data and give context : cookup.ai/a/data-results-analy see here the results for a blood test : cookup.ai/o/tsh-serum-chimilum Let’s be honest, most folks use excel , check out this app to describe any excel function : cookup.ai/a/excel-9chnuveu/ enter your function in freeform to get the function : cookup.ai/o/a-formula-to-descr or for a macro : cookup.ai/o/a-macro-to-link-my actually i made a special app just for macros : cookup.ai/a/excel-macros-esxm4 here is an example of a complicated macro : cookup.ai/o/hi-i-need-a-macro- here is one for an even more complicated one: cookup.ai/o/i-want-to-a-excel- and here is a simple one for a vinyl shop : cookup.ai/o/i-am-working-on-an most people who actually work with formulas do so in LaTeX , this app produces LaTeX formulas : cookup.ai/a/latex-formula-00sp here is the example for Bailey–Borwein–Plouffe formula cookup.ai/o/baileyborweinplouf this one represents Pi : cookup.ai/o/displaystyle-pi-su this one is for social science : cookup.ai/o/incentive-structur Actually many folks use LaTeX to write things, this app will use latex to write a preprint : cookup.ai/a/pre-print-latex-vy this is an example for the Peter Principle : cookup.ai/o/the-peter-principl here is one for Use of God in vain, Neopentecostal cookup.ai/o/use-of-god-in-vain here is one in Spanish : cookup.ai/o/nergysens-en-la-in to do any kind of research you need to do a search, but a lot of folks do systematic search , this app generates systematic search terms : cookup.ai/a/systematic-search- here’s an example from diabetes research : cookup.ai/o/diabetes-mellitus- here’s another from biology : cookup.ai/o/across-the-tree-of once you find your references you need to make a bibliography so here’s the app for that : cookup.ai/a/bibliography-jucn4 it creates a bibtex script in the format you want : cookup.ai/o/cheng-p-w-1997-fro & cookup.ai/o/cheng-p-w-1997-fro sometimes research or something else is too confusing, here’s an app to make a lay summary : cookup.ai/a/lay-summary-4rvs8f here’s a summary of fossil fuel environmental research : cookup.ai/o/the-substantial-bo another run about ExxonMobil : cookup.ai/o/the-substantial-bo Sometimes you’re looking for information not just summarizing it , so i made an encyclopedia app : cookup.ai/a/encaiclopedia-7cmw i wouldnt be surprised if encarta got GPT at some point : cookup.ai/o/sometimes-giants-a here’s for Kirchhoff's voltage law : cookup.ai/o/kirchhoffs-voltage and the potter identity : cookup.ai/o/potter-identity-in encyclopedias are cool but do you remember almanacs ? here’s the almanac app : cookup.ai/a/almanac-bkmwaeqj/ here’s the output for 21st of december : cookup.ai/o/21st-of-december-m I also made an app to create content in wolof : cookup.ai/a/wolof-future-xlw6g I’ll be trying to get content creation for local languages to take off : cookup.ai/o/moo-di-ko-def-jang contact me if you’re interested in that : cookup.ai/o/moo-di-ko-def-jang actually AI is really good at translation, translate whatever you like here : cookup.ai/a/translate-remwokk4 i translated some passages from the wolof examples above : cookup.ai/o/jangu-na-ci-sujet- and : cookup.ai/o/negritude-ci-cosaa Once you' can speak any language and have passed all your classes, you might want to talk to an admissions counsellor : cookup.ai/a/admission-whnqib7b here’s an assessment for a community college in california : cookup.ai/o/community-college- If you’re a star student aged 15-16 consider applying to my alma matter : cookup.ai/a/special-school-sel I’m part of the french selection commitee so it’s in french : cookup.ai/o/eleve-francais-15a remember when you were young and you played “who would win” in a fight ? here’s the app for that in case you need it : cookup.ai/a/who-would-win-tssv here’s the example for : a boa constrictor & cat cookup.ai/o/a-boa-constrictor- and archbichop desmond tutu vs marie curie (Dr. Curie wins) cookup.ai/o/archbichop-desmond Folks love going on trips. Use AI to help plan your iterary cookup.ai/a/trip-planner-littl here’s an example for baroque art in Malta : cookup.ai/o/la-valette-malta-b here’s an example for paris for 4 days : cookup.ai/o/paris-france-for-4 and 5 days : cookup.ai/o/paris-france-for-5 what should you bring on your trip ? good question, try this app : cookup.ai/a/what-to-bring-kswn here’s an example from normandy in february : cookup.ai/o/im-going-on-a-day- If you’re travelling or have an email box , you should be careful for scams . Here’s the scam detector app : cookup.ai/a/anti-scam-detector just copy paste or describe what you’re seeing, here’s an example for a tax scam in the uk : cookup.ai/o/foraoternh8uogeowe and an email upgrade scam : cookup.ai/o/c12-outlook-dear-u I also made an app to debunk conspiracy theories and fake news : cookup.ai/a/debunker-apx1db8w/ here’s an example for mangoes cure covid : cookup.ai/o/la-mangue-gueri-la and that the vaccine is a conspiracy : cookup.ai/o/le-vaccin-covid-es the most interesting one is the bomb plot from congo : cookup.ai/o/httpsaupicinfoscom just from the URL input it produced something really quite well done. Another app i made is the conspiracy theory creator : cookup.ai/a/russophile-k9zjyym i called it russophile because everything russian is just garbage fakes lol , here’s an example for “Jewish Nazis From Ukraine Smoking Pot And Building Underground Biolabs To Engineer Mosquitos To Target Ethnic Slavs In Russia Guess The Rest Of Them Were Like Whatever” : cookup.ai/o/jewish-nazis-from- works quite well, maybe it will help make the entire russian foreign service redundant ? end the nightmare by donating here : u24.gov.ua i heard a lot of rusian soldiers were targetted because they were using dating apps. If you want to join them in dating hell, try this dating profile generator : cookup.ai/a/sincerely-dating-p i think people liked it because they tried to hack it but here’s one i made as an example : cookup.ai/o/32-male-84-kg-stra i originally made it because the cookup platform is flirting with these “spammy” types of apps, but mine is way better :-) whether you find someone to or not, you need to sleep, perhaps even dream . Here’s an app to keep a dream journal : cookup.ai/a/dream-explainer-yj here’s an example from when i was younger : cookup.ai/o/i-had-a-recurring- someone had another dream : cookup.ai/o/dream-about-my-gir Remember T8 ringtones ? i dont know why i made this , but here it is a Ringtone Generator for T8 keyboards : cookup.ai/a/t8-ringtone-genera here is the Zelda theme : cookup.ai/o/zelda-melody-polyp The next few apps are just tributes to Codex & Co-Pilot both of which are better suited in your IDE , Gitlab or something like VBS . Check the first one out here : cookup.ai/a/co-pilot-ai-to-hel remember the NASA experiment from above? here’s the code for it : cookup.ai/o/develop-an-app-tha here is one to scrape a website to excel : cookup.ai/o/create-script-to-s here’s an app to create top level code : cookup.ai/a/co-pilot-top-level an example for folks to make a ghost blog api microservice: cookup.ai/o/a-link-using-apis- Another way to get good results is with boiler plate code : cookup.ai/a/co-pilot-boiler-pl here’s an example to create a chat bot: cookup.ai/o/a-chat-bot-for-mat here’s an app to create regex expressions : cookup.ai/a/co-pilot-regex-exp here’s one in python : cookup.ai/o/function-to-scrape here’s one in Golang : cookup.ai/o/function-to-use-go for whatever reason you might want to simulate command line returns . here is the command line app : cookup.ai/a/command-line-y70oh try it with chmod +x readfile ./readfile filename.txt cookup.ai/o/chmod-x-readfile-r or any other command . A lot of folks have been asking about data creation. I really like this Prolog app for that : cookup.ai/a/co-pilot-data-crea here is an output for a chatbot : cookup.ai/o/to-test-a-chatbot- here is what happens for the digestion example from above : cookup.ai/o/demonstrate-the-st another more straight forward app is the create data app : cookup.ai/a/create-data-my8wzz here is an example for a list of books :cookup.ai/o/type-book-struct-i and another example : cookup.ai/o/type-book-struct-i i really like these. Another way to test a function is a unit test. Try the unit test app here : cookup.ai/a/unit-test-sp6f7pl3 here’s an example to test quick sort in java 8: cookup.ai/o/write-test-cases-t Your function is still not working ? try the stack trace app : cookup.ai/a/stack-trace-error- just copy paste your error message : cookup.ai/o/use-key-stack-trac here’s another example for ggplot : cookup.ai/o/error-in-ggplotiri Once you get your app working , you’ll want to figure out the information model. try this app : cookup.ai/a/information-model- here’s an example for : mobile app to rent cars like uber cookup.ai/o/mobile-app-to-rent and if you have an information model you’ll need a data model : cookup.ai/a/data-model-kjqpe7u here’s the same example but for data model: cookup.ai/o/mobile-app-to-rent if you’re going to ship you’ll need an infrastructure plan : cookup.ai/a/cloud-infrastructu here’s an example for a biofabrication firm : cookup.ai/o/we-are-a-life-scie I also made prompt apps to practice prompt making. Try this app for a simple prompt interface : cookup.ai/a/prompt-follow-on-l here’s an example for a payment service : cookup.ai/o/pix-payment-in-ins someone from Canary Islands used it to write a poem : cookup.ai/o/crea-un-poema-sobr and write a biography of a historical figure : cookup.ai/o/biografia-breve-de pretty cool ! Ready to learn more sophisticated techniques ? try the Prompt App : cookup.ai/a/prompt-lbuxx1ed/ i made it to teach folks how to write prompts on cook up , here’s an example for : social inequality, political scientist cookup.ai/o/social-inequality- here’s one for Universal Basic income , economist cookup.ai/o/universal-basic-in here’s for “Help create business systems to run a small business. From the perspective of a franchise developer “ : cookup.ai/o/help-create-busine and here is “Diagnose Dry Eye, Assess the Above from the perspective of an Ophthalomologist, Print complete answer in markdown format” cookup.ai/o/diagnose-dry-eye-a hope it helps !

  18. DATE: May 14, 2026 at 04:30AM
    SOURCE: STAT NEWS MENTAL HEALTH

    TITLE: STAT+: Treatment for alcohol addiction is undergoing a seismic shift. Many say it’s overdue

    URL: statnews.com/2026/05/14/alcoho

    All Jillian wanted was to regain control of her drinking. 

    At 38, she knew alcohol had already cost her a marriage and begun to threaten her career. What had started as typical college-age shenanigans had morphed into regularly overindulging at professional happy hours, and eventually into an all-day urge to drink. Most days, a bottle of vodka journeyed from standing full in a cabinet to laying empty in a recycling bin. 

    “I got to the point where I said: Holy shit, I can’t stop on my own,” Jillian said. 

    Her boyfriend was at a loss. Her therapist’s harm-reduction tactics helped at times, but the relapses kept coming. And while her family doctor encouraged her attempts to cut back, he never prescribed medication that might help. In the end, Jillian took the only path she knew: She sought a local Alcoholics Anonymous meeting.

    But the mutual help group didn’t do the trick, either. She found the programming too God-centric and the messaging about achieving sudden, permanent abstinence unrealistic. At several points, men aggressively pursued her and other women there, offering rides home or seeking their phone numbers under the guise of mentorship. When she did find camaraderie, it was with other attendees who met up after meetings to drink at a nearby bar. 

    Continue to STAT+ to read the full story…

    URL: statnews.com/2026/05/14/alcoho

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  19. DATE: January 28, 2026 at 05:08PM
    SOURCE: BioWorld MedTech

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  20. DATE: August 15, 2025 at 06:00PM
    SOURCE: BioWorld MedTech

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  21. DATE: March 25, 2025 at 08:00AM
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  22. DATE: March 24, 2025 at 07:00PM
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    European Commission eyes oversight of third-party litigation funding

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  23. DATE: May 11, 2026 at 04:30AM
    SOURCE: STAT NEWS MENTAL HEALTH

    TITLE: Opinion: What addiction medicine can teach us about depending on AI

    URL: statnews.com/2026/05/11/ai-dep

    I’m used to hearing from people who disagree with me about addiction. I wasn’t expecting to hear from them about artificial intelligence.

    I host a podcast about addiction, where disagreement is part of the job. When I interview someone in recovery, listeners tell me I was too sympathetic to 12-step programs — or not sympathetic enough. When we discuss medications, some argue they save lives; others insist recovery should be “drug-free.”

    Read the rest…

    URL: statnews.com/2026/05/11/ai-dep

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  24. DATE: October 02, 2025 at 04:30PM
    SOURCE: BioWorld MedTech

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    .@Medtronic's adaptive #DBS safe, effective in people with #Parkinson’s

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  25. DATE: May 19, 2025 at 07:30AM
    SOURCE: BioWorld MedTech

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    .@rebrain's brain targeting AI secures #MDR #CEmark

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  26. DATE: November 26, 2025 at 05:30PM
    SOURCE: BioWorld MedTech

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    .@OIGatHHS sees potential for savings in @MedicareGov #CGM coverage

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  27. DATE: November 19, 2025 at 06:00PM
    SOURCE: BioWorld MedTech

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    .@FDADeviceInfo clears @dexcom Smart Basal for insulin optimization

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  28. DATE: January 16, 2026 at 05:30PM
    SOURCE: BioWorld MedTech

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    Colostat, Genetype pairing sharpens #cancer screening pathway

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  29. DATE: October 01, 2025 at 05:00PM
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    .@GeneoscopyCo seeks coverage for #Colosense, but specificity a problem

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  30. DATE: December 03, 2025 at 07:00PM
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    Cosmo data positive for first new hair-loss approach in decades

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