home.social

#continuous — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #continuous, aggregated by home.social.

  1. Wow, a *groundbreaking* revelation: 🧠💥 #machines can learn continuously just like humans do. All you have to do is distill them into themselves! 🌀🔮 🤔 Who knew that cramming more jargon into PDFs could change the world, one buzzword at a time? 🌍📄
    arxiv.org/abs/2601.19897 #groundbreaking #revelation #continuous #learning #buzzwords #innovation #HackerNews #ngated

  2. Wow, a *groundbreaking* revelation: 🧠💥 #machines can learn continuously just like humans do. All you have to do is distill them into themselves! 🌀🔮 🤔 Who knew that cramming more jargon into PDFs could change the world, one buzzword at a time? 🌍📄
    arxiv.org/abs/2601.19897 #groundbreaking #revelation #continuous #learning #buzzwords #innovation #HackerNews #ngated

  3. Wow, a *groundbreaking* revelation: 🧠💥 #machines can learn continuously just like humans do. All you have to do is distill them into themselves! 🌀🔮 🤔 Who knew that cramming more jargon into PDFs could change the world, one buzzword at a time? 🌍📄
    arxiv.org/abs/2601.19897 #groundbreaking #revelation #continuous #learning #buzzwords #innovation #HackerNews #ngated

  4. Wow, a *groundbreaking* revelation: 🧠💥 #machines can learn continuously just like humans do. All you have to do is distill them into themselves! 🌀🔮 🤔 Who knew that cramming more jargon into PDFs could change the world, one buzzword at a time? 🌍📄
    arxiv.org/abs/2601.19897 #groundbreaking #revelation #continuous #learning #buzzwords #innovation #HackerNews #ngated

  5. Wow, a *groundbreaking* revelation: 🧠💥 #machines can learn continuously just like humans do. All you have to do is distill them into themselves! 🌀🔮 🤔 Who knew that cramming more jargon into PDFs could change the world, one buzzword at a time? 🌍📄
    arxiv.org/abs/2601.19897 #groundbreaking #revelation #continuous #learning #buzzwords #innovation #HackerNews #ngated

  6. Popcorn Bulk Market in Germany | Report – IndexBox

    Germany Popcorn Bulk Market 2026 Analysis and Foreca…
    #Germany #DE #Europe #EU #Europa #Cinema&entertainmentvenues #Concessionstands&stadiums #consumergoodsmarketreport #Continuous-flowpoppingsystems #Corporategifting&fundraisingkits #Flavoradhesion&coatingtechnology #forecast #marketanalysis #Moisture-control&shelf-lifepackaging #Oil&seasoningapplicationsystems #popcornbulk #Retailprivatelabelpackaging
    europesays.com/germany/14872/

  7. double trouble today - cleaned up sidewalk, cleared out backyard for client, still more to do on both jobs #continuous quality improvement

  8. Google Cloud Build, c'est pas ouf.
    Et utiliser Antigravity pour faire des mises à jourau pif est idiot.
    Heureusement, comme pour github actions, il existe une astuce pour le tester localement. github.com/chriseaton/cloud-bu #gcp #build #continuous #integration #test

  9. L'article est vraiment bien, et il me fait penser à un truc que je dis tout le temps, et que personne ne comprend ... (donc je garde cet article qui dit mieux que moi ce que j'aimerais dire) apenwarr.ca/log/20260316 #programming #méthode #amélioration #continuous #review

  10. Je pense qu'il y aurait des façons plus rigoureuses d'arriver au même résultat. Mais c'est à mon sens un usage raisonnablement intéressant des limites respectives de l'homme et de la machine pour garantir une architecture correcte. decision-guardian.decispher.co #architecture #documentation #adr #validation #integration #continuous #github

  11. Une méthode un peu folle qui semblerait pouvoir bien marcher dans un monorepo ...
    Sauf que je n'ai jamais réussi à faire marcher tout ça dans Gitlab. Je recommencerai quand j'aurai plus de temps ... vladsiv.com/posts/gitlab-paren #gitlab #continuous #integration #automatisation #yaml #complexité

  12. Three Kings and a Princess

    Gold I Bring to Crown You Anew: Part IIB

    #FanFiction #TheApothecaryDiaries #TearmoonEmpire
    2/12 #wss366 #ScribesAndMakers #MastoPrompt

    [Continued from previous post “Gold I Bring to Crown You Anew: Part IIA”]

    The two walked to the parlor in the main house, with Mao being careful not to trip on her new, awkward gown. Managing it was a #continuous nightmare. If people had to wear these things every day, they would be useless for anything but decoration. Just something for men to look at. The thought displeased her.

    The first thing she noticed upon entering the building was the scent of sandalwood and agarwood with a touch of frankincense. “An expensive waste of precious resins,” she thought. But that was to be expected, given how important this guest seemed to be.

    Upon entering the parlor, her eyes were drawn to a man dressed in a lavishly embroidered gown. His clothes were rich with gold and silver thread; no expense had been spared. A gold crown adorned his head.

    He rose and called to her, “Niang Niang, at last I can reveal my true identity.”

    Mao stopped. “No, no, it couldn’t be!” The thought whirled in her head.

    “Tianyu,” she said in complete disbelief. The dissection-mad surgeon stood before her in regal robes, arms outstretched with a besotted look on his face. A less august person was hard to imagine.

    [Continued tomorrow in “Frankincense to Offer Have I: Part I”]

    #MicroFiction #TootFic #Serial #NMFic
    #ApothecaryDiaries

  13. Three Kings and a Princess

    Gold I Bring to Crown You Anew: Part IIA

    #FanFiction #TheApothecaryDiaries #TearmoonEmpire
    2/12 #wss366 #regard #ScribesAndMakers #Vivid? #MastoPrompt #Continuous

    [Continued from “Gold I Bring to Crown You Anew: Part I”]

    "Your visitor brought you not only gold but a dress too. It's outlandish, but it's made of the finest material," Pairin said, as she laid out a blue dress.

    Mao’s eyes widened. The dress was made of soft blue silk layered over cream-toned linen and cotton; every ruffle was cut and stitched with almost obsessive care. Red satin ribbons and a #vivid blue sapphire finished off the opulent dress. It was an absurdly costly foreign gown—clearly the work of someone with far more money than sense.

    It tugged at her memory, although she couldn’t say why. No one from Li would ever dream of wearing something so impractical.

    Had an eastern prince, with no #regard for common sense, decided to court her?

    With Pairin's help, Mao was slowly encased in a monument of silk, linen, and layers of petticoats. Finished, Pairin stepped back and admired her achievement. “Just think what we could sell this for.”

    The lack of a compliment would have insulted any other woman. Instead, Mao thought the same thing, picturing the mounds of herbs and medicine she could buy. She hoped she would have the chance to do so instead of being packed off to someone’s harem or taken to a barbarous land to the east.

    “Hmm,” Mao wondered. “Or did she mean me?” It didn’t really matter; they were both practical women. Marriage for the inhabitants of Verdigris House was about money first, with love being an afterthought.

    “Would you like something to help with your first time? New girls often do.” Pairin produced a small packet. “Just the first time. Any more is bad for you.”

    “Poppy paste,” Mao thought. She took it and secreted it away. “But not for this. I’ll save it for when nothing else works,” picturing a maimed soldier. “Or for someone too important to feel pain.”

    A smile touched Pairin’s lips as she watched Mao both accept her gift and refuse to use it. “Come, we mustn’t keep the client waiting any longer.”

    [Continued in the next post “Gold I Bring to Crown You Anew: Part IIB”]

    #MicroFiction #TootFic #Serial #NMFic
    #ApothecaryDiaries

  14. "A constant whooshing sound?" The rogue rolled his eyes. "You're winding me up."

    "No," the barbarian protested. "And it's not #continuous, more like—"

    "Come on." Torch flickering in the draft, the rogue continued into the warm, damp tunnel.

    "... something breathing."

    #MastoPrompt #MicroFiction

  15. Do I know, or do you know, someone in the USA who is an #Importer of #Alcohol and works with #FedEx and happens to already have in place a #Continuous #Bond that might be willing to work with us? Our current importer seems to have ghosted and vanished without renewing their bond. It is disappointing for customers and us when we have to get orders returned back to us. Volumes are small (as are values, relatively speaking). Please boost for effect. Thanks!

  16. @science_quotes @jcastroarnaud
    I tried to make it general enough that anyone could respond, so no worries there.

    [Here's a post I just happened to see that talks about the importance of measuring principles, in the context of domestic abuse: c.im/@[email protected] ]

    The thing I could have emphasized more was the dual nature of the process. When we're stuck in one, the other will suffer.

    So 'letting go' cuts both ways. As you point out, often times our models run into problems, and we have to make changes. The disagreement between #experiment and #theory is a big red flag.

    The default seems to be to alter the theory in some way. This is not always bad, nor is it always right. The impetus for this is our confidence in the model, fueled by various factors. The farther back the model goes, the less likely people are to challenge it, or even go back to the start for a complete review.

    At the #fundamental layer of maths are simply the concept of numbers & quantity. If you're going to use them other than the way they come, the set is probably the next option.

    OTOH, not doing this is also creating #HiddenAssumptions that do pass along to the higher levels. The problem with problems is that we don't always know where they're coming from!

    The idea of 'continuous' reality, measured by a continuous number line populated by integers, and then modified by 'infinitely divisible units' between them in order to gain accuracy or change #scale, is the status quo that few ever bother to question.

    IMO, the time to do that re-examination is exactly in circumstances like you brought up. Looking only at GR, or only at QM, we might walk away with the impression of their correctness & #universality. But when they cannot be brought to terms with each other, then the next (or at least after a century of tinkering & failing) logical area to question is in the models & structures prior to them (rinse and repeat until resolved).

    Our notion of making single, #continuous measurements and being able to determine things like #simultaneity or mass-energy relations has failed in these areas.

    The similarity between the theory / #measurement relationship, and between practice / 'live' performance is what I was aiming to highlight.

    When not performing, all masters practice /revisit the basics on a regular basis. A good practice session 'lets go' of the conditions of a performance, and vice versa.

  17. Je regrette aujourd'hui d'avoir procrastiné sur la sortie de GitHub. Mais comme GitHub a progressé, il y a maintenant des moyens efficaces de sortir de ce jardin-là pour revenir chez Framagit github.com/OpenSaucedHub/advan #git #github #gitlab #synchronisation #opensource #intégration #continuous

  18. Performing #continuous #integration of #Molecule scenarios against a doubly-obsolete #container image meant to represent our extant custom application server running a doubly-obsolete operating system was just not meant to be.

  19. Mean: Share and Balance allows students to explore four different conceptualizations of #mean, in four different contexts. Create, predict and modify the mean of a data set in #continuous and #discrete contexts. phet.colorado.edu/en/simulatio #AvailableInPhETStudio #CentralTendency

  20. Daily inspiration: "The difference between good & great companies isn't when they innovate, but that they never stop!" - Futurist Jim Carroll

    Over the years, I've had several companies come to me, seeking a speaker for a leadership or annual conference, stating that their 'theme this year is innovation.'

    I tried hard not to crack up.

    As in, you only do this once?

    You are going to 'do' innovation and then move on to the next thing?
    Shouldn't you be innovative all the time?

    I've always been sure that their intentions are good, and in most cases, it has been - they are in an innovative mind space and are always prepared to explore their opportunities through creativity.

    But there have been many others for whom innovation seems to have been a 'one-time thing,' an afterthought, an item to address on a checklist before moving on to the next leadership buzz thing.

    Um, OK.

    The reality is this: innovation isn't an annual event - it's the daily heartbeat of progress that keeps organizations alive. When you schedule innovation for a conference as a one-time topic, you've already missed the point. True innovation lives in every moment of every day. And in fact, the most dangerous words in business aren't 'We're failing,' but 'We'll innovate next quarter.' Innovation isn't a theme - it's the very air successful organizations breathe. The fact is, if you have to declare an innovation season, you're already living in the depths of a pretty brutal leadership winter.

    The difference between average companies and great companies is that tomorrow's leaders don't schedule creativity or innovation  - they cultivate it in every conversation, decision, and moment.

    The companies that survive don't ask when to innovate - they ask why they ever stopped!

    #Innovation #Continuous #Growth #Success #Leadership #Culture #Change #Progress #Reinvention #Mindset---

    Original post: jimcarroll.com/2025/01/daily-i

  21. Perfect position for the re-rack!
    Of course I celebrated to early.
    Of course I split the pack.
    Of course I missed the 10-ball.
    Of course.

    #14-1-e #straightPool #poolbillard #billard #billiards #pool #continuous #continuousPool

  22. US aiming to ‘crack the code’ on deploying geothermal energy at scale

    A limitless supply of heat exists beneath our feet within the Earth’s crust, but harnessing it at scale has proved challenging.
    Now, a combination of new techniques, government support and the pressing need to secure #continuous #clean #power in an era of climate crisis means that geothermal energy is finally having its moment in the US.
    Until recently, #geothermal has only been viable where the Earth’s inner heat simmers near the surface, such as at hot springs or geysers where hot water or steam can be easily drawn to drive turbines and generate electricity.

    While this has allowed a limited number of places, like Iceland, to use geothermal as a main source of heating and electricity, it has only been a niche presence in the US, providing less than 1% of its electricity.

    But this could change dramatically, offering the promise of endless, 24/7 clean energy that can fill in the gaps of intermittent solar and wind generation in the electricity grid.

    “Geothermal has been used for over 100 years, limited to certain geographic locations
    – but that is now changing,” said Amanda Kolker, the geothermal laboratory program manager at the #National #Renewable #Energy #Laboratory (NREL).
    “As we penetrate the grid with renewables that are not available all the time, we need to find a base load, which is currently taken up by gas. There aren’t really many options for #zero-#emissions #base #load power, which is why geothermal is entering the picture.”

    Geothermal capacity could
    💥 increase 20-fold by 2050, 💥
    👉generating 10% of the US’s electricity, according to a recent road map released by the US Department of Energy.
    Joe Biden’s administration has also funded 👍new projects aimed at pushing forward the next generation of geothermal 👍that aim to make the energy source available anywhere on America’s landmass, not just easy-to-reach hot springs.

    theguardian.com/environment/20

  23. @science_quotes @jcastroarnaud
    I tried to make it general enough that anyone could respond, so no worries there.

    [Here's a post I just happened to see that talks about the importance of measuring principles, in the context of domestic abuse: c.im/@[email protected] ]

    The thing I could have emphasized more was the dual nature of the process. When we're stuck in one, the other will suffer.

    So 'letting go' cuts both ways. As you point out, often times our models run into problems, and we have to make changes. The disagreement between #experiment and #theory is a big red flag.

    The default seems to be to alter the theory in some way. This is not always bad, nor is it always right. The impetus for this is our confidence in the model, fueled by various factors. The farther back the model goes, the less likely people are to challenge it, or even go back to the start for a complete review.

    At the #fundamental layer of maths are simply the concept of numbers & quantity. If you're going to use them other than the way they come, the set is probably the next option.

    OTOH, not doing this is also creating #HiddenAssumptions that do pass along to the higher levels. The problem with problems is that we don't always know where they're coming from!

    The idea of 'continuous' reality, measured by a continuous number line populated by integers, and then modified by 'infinitely divisible units' between them in order to gain accuracy or change #scale, is the status quo that few ever bother to question.

    IMO, the time to do that re-examination is exactly in circumstances like you brought up. Looking only at GR, or only at QM, we might walk away with the impression of their correctness & #universality. But when they cannot be brought to terms with each other, then the next (or at least after a century of tinkering & failing) logical area to question is in the models & structures prior to them (rinse and repeat until resolved).

    Our notion of making single, #continuous measurements and being able to determine things like #simultaneity or mass-energy relations has failed in these areas.

    The similarity between the theory / #measurement relationship, and between practice / 'live' performance is what I was aiming to highlight.

    When not performing, all masters practice /revisit the basics on a regular basis. A good practice session 'lets go' of the conditions of a performance, and vice versa.

  24. @science_quotes @jcastroarnaud
    I tried to make it general enough that anyone could respond, so no worries there.

    [Here's a post I just happened to see that talks about the importance of measuring principles, in the context of domestic abuse: c.im/@[email protected] ]

    The thing I could have emphasized more was the dual nature of the process. When we're stuck in one, the other will suffer.

    So 'letting go' cuts both ways. As you point out, often times our models run into problems, and we have to make changes. The disagreement between #experiment and #theory is a big red flag.

    The default seems to be to alter the theory in some way. This is not always bad, nor is it always right. The impetus for this is our confidence in the model, fueled by various factors. The farther back the model goes, the less likely people are to challenge it, or even go back to the start for a complete review.

    At the #fundamental layer of maths are simply the concept of numbers & quantity. If you're going to use them other than the way they come, the set is probably the next option.

    OTOH, not doing this is also creating #HiddenAssumptions that do pass along to the higher levels. The problem with problems is that we don't always know where they're coming from!

    The idea of 'continuous' reality, measured by a continuous number line populated by integers, and then modified by 'infinitely divisible units' between them in order to gain accuracy or change #scale, is the status quo that few ever bother to question.

    IMO, the time to do that re-examination is exactly in circumstances like you brought up. Looking only at GR, or only at QM, we might walk away with the impression of their correctness & #universality. But when they cannot be brought to terms with each other, then the next (or at least after a century of tinkering & failing) logical area to question is in the models & structures prior to them (rinse and repeat until resolved).

    Our notion of making single, #continuous measurements and being able to determine things like #simultaneity or mass-energy relations has failed in these areas.

    The similarity between the theory / #measurement relationship, and between practice / 'live' performance is what I was aiming to highlight.

    When not performing, all masters practice /revisit the basics on a regular basis. A good practice session 'lets go' of the conditions of a performance, and vice versa.

  25. @science_quotes @jcastroarnaud
    I tried to make it general enough that anyone could respond, so no worries there.

    [Here's a post I just happened to see that talks about the importance of measuring principles, in the context of domestic abuse: c.im/@[email protected] ]

    The thing I could have emphasized more was the dual nature of the process. When we're stuck in one, the other will suffer.

    So 'letting go' cuts both ways. As you point out, often times our models run into problems, and we have to make changes. The disagreement between #experiment and #theory is a big red flag.

    The default seems to be to alter the theory in some way. This is not always bad, nor is it always right. The impetus for this is our confidence in the model, fueled by various factors. The farther back the model goes, the less likely people are to challenge it, or even go back to the start for a complete review.

    At the #fundamental layer of maths are simply the concept of numbers & quantity. If you're going to use them other than the way they come, the set is probably the next option.

    OTOH, not doing this is also creating #HiddenAssumptions that do pass along to the higher levels. The problem with problems is that we don't always know where they're coming from!

    The idea of 'continuous' reality, measured by a continuous number line populated by integers, and then modified by 'infinitely divisible units' between them in order to gain accuracy or change #scale, is the status quo that few ever bother to question.

    IMO, the time to do that re-examination is exactly in circumstances like you brought up. Looking only at GR, or only at QM, we might walk away with the impression of their correctness & #universality. But when they cannot be brought to terms with each other, then the next (or at least after a century of tinkering & failing) logical area to question is in the models & structures prior to them (rinse and repeat until resolved).

    Our notion of making single, #continuous measurements and being able to determine things like #simultaneity or mass-energy relations has failed in these areas.

    The similarity between the theory / #measurement relationship, and between practice / 'live' performance is what I was aiming to highlight.

    When not performing, all masters practice /revisit the basics on a regular basis. A good practice session 'lets go' of the conditions of a performance, and vice versa.

  26. @science_quotes @jcastroarnaud
    I tried to make it general enough that anyone could respond, so no worries there.

    [Here's a post I just happened to see that talks about the importance of measuring principles, in the context of domestic abuse: c.im/@[email protected] ]

    The thing I could have emphasized more was the dual nature of the process. When we're stuck in one, the other will suffer.

    So 'letting go' cuts both ways. As you point out, often times our models run into problems, and we have to make changes. The disagreement between #experiment and #theory is a big red flag.

    The default seems to be to alter the theory in some way. This is not always bad, nor is it always right. The impetus for this is our confidence in the model, fueled by various factors. The farther back the model goes, the less likely people are to challenge it, or even go back to the start for a complete review.

    At the #fundamental layer of maths are simply the concept of numbers & quantity. If you're going to use them other than the way they come, the set is probably the next option.

    OTOH, not doing this is also creating #HiddenAssumptions that do pass along to the higher levels. The problem with problems is that we don't always know where they're coming from!

    The idea of 'continuous' reality, measured by a continuous number line populated by integers, and then modified by 'infinitely divisible units' between them in order to gain accuracy or change #scale, is the status quo that few ever bother to question.

    IMO, the time to do that re-examination is exactly in circumstances like you brought up. Looking only at GR, or only at QM, we might walk away with the impression of their correctness & #universality. But when they cannot be brought to terms with each other, then the next (or at least after a century of tinkering & failing) logical area to question is in the models & structures prior to them (rinse and repeat until resolved).

    Our notion of making single, #continuous measurements and being able to determine things like #simultaneity or mass-energy relations has failed in these areas.

    The similarity between the theory / #measurement relationship, and between practice / 'live' performance is what I was aiming to highlight.

    When not performing, all masters practice /revisit the basics on a regular basis. A good practice session 'lets go' of the conditions of a performance, and vice versa.

  27. Mean: Share and Balance allows students to explore four different conceptualizations of #mean, in four different contexts. Create, predict and modify the mean of a data set in #continuous and #discrete contexts. phet.colorado.edu/en/simulatio #AvailableInPhETStudio #CentralTendency

  28. Mean: Share and Balance allows students to explore four different conceptualizations of #mean, in four different contexts. Create, predict and modify the mean of a data set in #continuous and #discrete contexts. phet.colorado.edu/en/simulatio #AvailableInPhETStudio #CentralTendency

  29. Mean: Share and Balance allows students to explore four different conceptualizations of #mean, in four different contexts. Create, predict and modify the mean of a data set in #continuous and #discrete contexts. phet.colorado.edu/en/simulatio #AvailableInPhETStudio #CentralTendency

  30. Mean: Share and Balance allows students to explore four different conceptualizations of #mean, in four different contexts. Create, predict and modify the mean of a data set in #continuous and #discrete contexts. phet.colorado.edu/en/simulatio #AvailableInPhETStudio #CentralTendency

  31. @EJWagenmakers Ha, sorry for misreading; I simply would never consider #barplots other than for count data!
    Indeed, the more or less default option for #continuous #data, the *#boxplot*, may also be very misleading and should at least be accompanied by some indication of the form of the #distribution.

  32. @EJWagenmakers Ha, sorry for misreading; I simply would never consider #barplots other than for count data!
    Indeed, the more or less default option for #continuous #data, the *#boxplot*, may also be very misleading and should at least be accompanied by some indication of the form of the #distribution.

  33. Ciao , I need your help and collective wisdom.
    I don't know how many of you have some knowledge of , a method to apply scientific thinking for problem solving and .
    I'm working on a @[email protected] app called that would like to be an helper and tool for Toyota practitioners.
    Which would you suggest me to add to the ?
    What kind of would you need to daily help you improving?