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1000 results for “artificialmind”
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#AI Allows #Hackers To Identify #Anonymous #SocialMedia Accounts, Study Finds
AI has made it vastly easier for malicious hackers to identify anonymous social media accounts, a new study has warned. In most test scenarios, large language models ( #LLM s) -- the technology behind platforms such as #ChatGPT -- successfully matched anonymous online users with their actual #identities on other platforms, based on info they posted
#privacy #security #artificialintelligence -
#AI Allows #Hackers To Identify #Anonymous #SocialMedia Accounts, Study Finds
AI has made it vastly easier for malicious hackers to identify anonymous social media accounts, a new study has warned. In most test scenarios, large language models ( #LLM s) -- the technology behind platforms such as #ChatGPT -- successfully matched anonymous online users with their actual #identities on other platforms, based on info they posted
#privacy #security #artificialintelligence -
#AI Allows #Hackers To Identify #Anonymous #SocialMedia Accounts, Study Finds
AI has made it vastly easier for malicious hackers to identify anonymous social media accounts, a new study has warned. In most test scenarios, large language models ( #LLM s) -- the technology behind platforms such as #ChatGPT -- successfully matched anonymous online users with their actual #identities on other platforms, based on info they posted
#privacy #security #artificialintelligence -
#AI Allows #Hackers To Identify #Anonymous #SocialMedia Accounts, Study Finds
AI has made it vastly easier for malicious hackers to identify anonymous social media accounts, a new study has warned. In most test scenarios, large language models ( #LLM s) -- the technology behind platforms such as #ChatGPT -- successfully matched anonymous online users with their actual #identities on other platforms, based on info they posted
#privacy #security #artificialintelligence -
#AI Allows #Hackers To Identify #Anonymous #SocialMedia Accounts, Study Finds
AI has made it vastly easier for malicious hackers to identify anonymous social media accounts, a new study has warned. In most test scenarios, large language models ( #LLM s) -- the technology behind platforms such as #ChatGPT -- successfully matched anonymous online users with their actual #identities on other platforms, based on info they posted
#privacy #security #artificialintelligence -
Schweizer Medienbranche gibt sich einen KI-Kodex | heise online https://www.heise.de/news/Schweizer-Medienbranche-gibt-sich-einen-KI-Kodex-11288213.html #ArtificialIntelligence #AI #Journalismus #journalism
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New Statesman | The silent coup by Will Dunn
On 20 April 2025, an official in the British government emailed their colleagues a story from that day’s Financial Times. The headline read: “UAE set to use AI to write laws in world first”. The officials, all of whom are involved in implementing AI in the running of the British state, read the article with amusement. “We were tempted to say: ‘We got there first,’” one of them told me. But they felt that the UK was “not fighting for the crown of the first AI-written line of legislation”, so they decided not to make public a fact very few people know: text composed by a large language model has made its way into an act of parliament. British laws are already being written by AI.
This is a matter of sovereignty. The software products we refer to as “AI” are all built on advanced “foundational models” from the US and China. This is a technology we do not control, but which plays an increasingly active role at every level of the British power structure. It is part of every conversation, drafting emails between officials, summarising ministers’ briefings and composing speeches delivered in the House of Commons. The Bank of England is using machine learning to inform its decisions on interest rates. The BBC uses AI to redraft articles. Every student at Oxford – where 31 of our previous prime ministers were educated – is now being educated with the help of OpenAI. There is little public understanding of how quickly this technology is moving through the institutions of power, or how enthusiastically it’s being pursued by a government that believes AI software could solve all its problems.
In dozens of interviews with current and former government officials and advisers, technologists and MPs – most of whom asked not to be named, in order to speak freely – I have been told about a quiet handing over of control in the frameworks of advice, intelligence and decision-making that underlie every government decision. This is not just a simple software upgrade. Large language models (LLMs), the software behind AI program such as ChatGPT, are built to produce answers that will be accepted by users – not to calculate, but to convince. This highly persuasive software, built primarily overseas, is being handed an unknown amount of political power.
Read more: https://www.newstatesman.com/technology/2026/04/the-silent-coup
#artificialintelligence(ai) #politics #technology #ukgovernment
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New Statesman | The silent coup by Will Dunn
On 20 April 2025, an official in the British government emailed their colleagues a story from that day’s Financial Times. The headline read: “UAE set to use AI to write laws in world first”. The officials, all of whom are involved in implementing AI in the running of the British state, read the article with amusement. “We were tempted to say: ‘We got there first,’” one of them told me. But they felt that the UK was “not fighting for the crown of the first AI-written line of legislation”, so they decided not to make public a fact very few people know: text composed by a large language model has made its way into an act of parliament. British laws are already being written by AI.
This is a matter of sovereignty. The software products we refer to as “AI” are all built on advanced “foundational models” from the US and China. This is a technology we do not control, but which plays an increasingly active role at every level of the British power structure. It is part of every conversation, drafting emails between officials, summarising ministers’ briefings and composing speeches delivered in the House of Commons. The Bank of England is using machine learning to inform its decisions on interest rates. The BBC uses AI to redraft articles. Every student at Oxford – where 31 of our previous prime ministers were educated – is now being educated with the help of OpenAI. There is little public understanding of how quickly this technology is moving through the institutions of power, or how enthusiastically it’s being pursued by a government that believes AI software could solve all its problems.
In dozens of interviews with current and former government officials and advisers, technologists and MPs – most of whom asked not to be named, in order to speak freely – I have been told about a quiet handing over of control in the frameworks of advice, intelligence and decision-making that underlie every government decision. This is not just a simple software upgrade. Large language models (LLMs), the software behind AI program such as ChatGPT, are built to produce answers that will be accepted by users – not to calculate, but to convince. This highly persuasive software, built primarily overseas, is being handed an unknown amount of political power.
Read more: https://www.newstatesman.com/technology/2026/04/the-silent-coup
#artificialintelligence(ai) #politics #technology #ukgovernment
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New Statesman | The silent coup by Will Dunn
On 20 April 2025, an official in the British government emailed their colleagues a story from that day’s Financial Times. The headline read: “UAE set to use AI to write laws in world first”. The officials, all of whom are involved in implementing AI in the running of the British state, read the article with amusement. “We were tempted to say: ‘We got there first,’” one of them told me. But they felt that the UK was “not fighting for the crown of the first AI-written line of legislation”, so they decided not to make public a fact very few people know: text composed by a large language model has made its way into an act of parliament. British laws are already being written by AI.
This is a matter of sovereignty. The software products we refer to as “AI” are all built on advanced “foundational models” from the US and China. This is a technology we do not control, but which plays an increasingly active role at every level of the British power structure. It is part of every conversation, drafting emails between officials, summarising ministers’ briefings and composing speeches delivered in the House of Commons. The Bank of England is using machine learning to inform its decisions on interest rates. The BBC uses AI to redraft articles. Every student at Oxford – where 31 of our previous prime ministers were educated – is now being educated with the help of OpenAI. There is little public understanding of how quickly this technology is moving through the institutions of power, or how enthusiastically it’s being pursued by a government that believes AI software could solve all its problems.
In dozens of interviews with current and former government officials and advisers, technologists and MPs – most of whom asked not to be named, in order to speak freely – I have been told about a quiet handing over of control in the frameworks of advice, intelligence and decision-making that underlie every government decision. This is not just a simple software upgrade. Large language models (LLMs), the software behind AI program such as ChatGPT, are built to produce answers that will be accepted by users – not to calculate, but to convince. This highly persuasive software, built primarily overseas, is being handed an unknown amount of political power.
Read more: https://www.newstatesman.com/technology/2026/04/the-silent-coup
#artificialintelligence(ai) #politics #technology #ukgovernment
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New Statesman | The silent coup by Will Dunn
On 20 April 2025, an official in the British government emailed their colleagues a story from that day’s Financial Times. The headline read: “UAE set to use AI to write laws in world first”. The officials, all of whom are involved in implementing AI in the running of the British state, read the article with amusement. “We were tempted to say: ‘We got there first,’” one of them told me. But they felt that the UK was “not fighting for the crown of the first AI-written line of legislation”, so they decided not to make public a fact very few people know: text composed by a large language model has made its way into an act of parliament. British laws are already being written by AI.
This is a matter of sovereignty. The software products we refer to as “AI” are all built on advanced “foundational models” from the US and China. This is a technology we do not control, but which plays an increasingly active role at every level of the British power structure. It is part of every conversation, drafting emails between officials, summarising ministers’ briefings and composing speeches delivered in the House of Commons. The Bank of England is using machine learning to inform its decisions on interest rates. The BBC uses AI to redraft articles. Every student at Oxford – where 31 of our previous prime ministers were educated – is now being educated with the help of OpenAI. There is little public understanding of how quickly this technology is moving through the institutions of power, or how enthusiastically it’s being pursued by a government that believes AI software could solve all its problems.
In dozens of interviews with current and former government officials and advisers, technologists and MPs – most of whom asked not to be named, in order to speak freely – I have been told about a quiet handing over of control in the frameworks of advice, intelligence and decision-making that underlie every government decision. This is not just a simple software upgrade. Large language models (LLMs), the software behind AI program such as ChatGPT, are built to produce answers that will be accepted by users – not to calculate, but to convince. This highly persuasive software, built primarily overseas, is being handed an unknown amount of political power.
Read more: https://www.newstatesman.com/technology/2026/04/the-silent-coup
#artificialintelligence(ai) #politics #technology #ukgovernment
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Selective Outrage: Why Big Data’s Piracy Problem Gets a Pass
By Cliff Potts, CSO, and Editor-in-Chief of WPS News
Baybay City, Leyte, Philippines — April 21, 2026
The Double Standard Nobody Wants to Admit
For years, the United States and its allies have criticized other regions—particularly China and parts of Asia—for weak enforcement of intellectual property rights.
The argument is familiar:
- Copyright violations
- Unauthorized copying
- Lack of enforcement
These practices are labeled clearly and repeatedly:
Piracy.
But when similar behavior appears inside Western technology systems, the language changes.
It becomes:
- Innovation
- Training data
- Aggregation
- Platform optimization
The behavior does not change.
Only the description does.
What Big Data Is Actually Doing
Modern AI and data platforms operate by ingesting large volumes of human-created content.
That includes:
- Articles
- Essays
- Books
- Artwork
- Photography
This material is then:
- Processed
- Analyzed
- Reassembled into outputs
Those outputs are monetized through:
- Advertising
- Subscriptions
- Platform dominance
In many cases, the original creators:
- Are not asked for permission
- Are not compensated
- Are not even aware their work is being used
That is the functional reality.
Why This Fits the Definition of Piracy
Traditionally, piracy has meant:
The use or reproduction of copyrighted material without permission or compensation.
The current system does not always reproduce content verbatim.
But it does:
- Extract value from it
- Depend on it
- Generate revenue from it
The distinction between copying and extracting becomes less meaningful when the outcome is the same:
- The creator’s work drives value
- The creator does not share in that value
Whether the term used is “training” or “processing,” the economic effect mirrors what has historically been called piracy.
The China Comparison
Western governments frequently point to China as an example of systemic intellectual property abuse.
And in many cases, those criticisms have been valid.
But that raises a question:
Why is one form of unauthorized use treated as unacceptable, while another is normalized?
If:
- Copying a film without permission is piracy
Then:
- Using written, visual, or intellectual work to power commercial systems without compensation raises the same concerns
The inconsistency is difficult to ignore.
The Language Shield
Part of the reason this continues is language.
Terms like:
- “Machine learning”
- “Training data”
- “Model development”
Create distance from what is happening.
They make the process sound technical and abstract.
But behind that language is a simple dynamic:
- Human-created work is being used to generate value
- Without direct compensation to the people who created it
Changing the vocabulary does not change the structure.
Why This Matters Now
This issue is becoming more urgent as AI systems expand.
The more these systems rely on:
- High-quality writing
- Original reporting
- Creative work
The more they depend on the continued existence of creators.
If those creators are not supported:
- Output quality declines
- Original work becomes less sustainable
- The system weakens over time
This is not just a fairness issue.
It is a structural one.
The Likely Outcomes
There are only a few ways this resolves:
- Legal action defining limits on data use
- Licensing systems for training and summarization
- Revenue-sharing models between platforms and creators
- Or continued extraction until the supply of high-quality input declines
None of these paths avoid the core issue.
They only determine how it is addressed.
The Bottom Line
The debate is not about whether technology should advance.
It is about whether the people whose work fuels that advancement are recognized and compensated.
When value is taken without compensation, the term “piracy” has historically been used.
If the same outcome is occurring under different language, the question is not whether the term is uncomfortable.
The question is whether it applies.
If you read this and it matters, help me keep it going: https://www.patreon.com/cw/WPSNews
References
Anderson, C. W., Bell, E., & Shirky, C. (2015). Post-industrial journalism: Adapting to the present. Columbia Journalism School.
OpenAI. (2023). GPT and the future of content generation.
Google. (2023). Search Generative Experience (SGE) overview. https://blog.google/products/search/generative-ai-search
World Intellectual Property Organization. (2021). Understanding copyright and related rights. https://www.wipo.int
#ArtificialIntelligence #bigData #copyright #digitalEconomy #intellectualProperty #Technology #WPSNews -
Barreling into the weekend #DailyBlogroll with new stories from TAGN, Dave Winer, Patrick, Jimmy, @[email protected], Shintar, Bruce Schneier, Tobold, The Chronicler, Belghast, Bhagpuss and more! westkarana.xyz #TabletopGaming #MMORPG #IndieGames #PathOfExile #ArtificialIntelligence
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Barreling into the weekend #DailyBlogroll with new stories from @wilhelm_arcturus, @davew, @DigiAntiquarian, @anarchaeopteryx, @belghast, Bhagpuss and more!
#TabletopGaming #MMORPG #IndieGames #PathOfExile #ArtificialIntelligence
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KI-Transparenz: EU-Kommission konkretisiert Regeln gegen digitale Täuschung | heise online https://www.heise.de/news/KI-Transparenz-EU-Kommission-konkretisiert-Regeln-gegen-digitale-Taeuschung-11290417.html #ArtificialIntelligence #AI #ArtificialIntelligenceAct #AIact #Biometrie #biometrics #Datenschutz #privacy #Gesichtserkennung #FacialRecognition
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KI-Transparenz: EU-Kommission konkretisiert Regeln gegen digitale Täuschung | heise online https://www.heise.de/news/KI-Transparenz-EU-Kommission-konkretisiert-Regeln-gegen-digitale-Taeuschung-11290417.html #ArtificialIntelligence #AI #ArtificialIntelligenceAct #AIact #Biometrie #biometrics #Datenschutz #privacy #Gesichtserkennung #FacialRecognition
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KI-Transparenz: EU-Kommission konkretisiert Regeln gegen digitale Täuschung | heise online https://www.heise.de/news/KI-Transparenz-EU-Kommission-konkretisiert-Regeln-gegen-digitale-Taeuschung-11290417.html #ArtificialIntelligence #AI #ArtificialIntelligenceAct #AIact #Biometrie #biometrics #Datenschutz #privacy #Gesichtserkennung #FacialRecognition
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KI-Transparenz: EU-Kommission konkretisiert Regeln gegen digitale Täuschung | heise online https://www.heise.de/news/KI-Transparenz-EU-Kommission-konkretisiert-Regeln-gegen-digitale-Taeuschung-11290417.html #ArtificialIntelligence #AI #ArtificialIntelligenceAct #AIact #Biometrie #biometrics #Datenschutz #privacy #Gesichtserkennung #FacialRecognition
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@fedora My ultimate goal is to learn more about #ArtificialIntelligence in a #Linux environment, but the first thing I did after installation was trying #Steam and a couple of #games. Spoiler alert: installing #NeedForSpeed was smoother than on #Windows 😉
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@fedora My ultimate goal is to learn more about #ArtificialIntelligence in a #Linux environment, but the first thing I did after installation was trying #Steam and a couple of #games. Spoiler alert: installing #NeedForSpeed was smoother than on #Windows 😉
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@fedora My ultimate goal is to learn more about #ArtificialIntelligence in a #Linux environment, but the first thing I did after installation was trying #Steam and a couple of #games. Spoiler alert: installing #NeedForSpeed was smoother than on #Windows 😉
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#ArtificialIntelligence - Redefining Human Resource Management
In this article, we will explore how #AI is redefining #humanresourcemanagement and how it can benefit your business.
https://bit.ly/3OHwlv3 -
#ArtificialIntelligence - Redefining Human Resource Management
In this article, we will explore how #AI is redefining #humanresourcemanagement and how it can benefit your business.
https://bit.ly/3OHwlv3 -
#ArtificialIntelligence - Redefining Human Resource Management
In this article, we will explore how #AI is redefining #humanresourcemanagement and how it can benefit your business.
https://bit.ly/3OHwlv3 -
#ArtificialIntelligence - Redefining Human Resource Management
In this article, we will explore how #AI is redefining #humanresourcemanagement and how it can benefit your business.
https://bit.ly/3OHwlv3 -
#ArtificialIntelligence - Redefining Human Resource Management
In this article, we will explore how #AI is redefining #humanresourcemanagement and how it can benefit your business.
https://bit.ly/3OHwlv3 -
#ArtificialIntelligence - Redefining Human Resource Management
In this article, we will explore the different ways #AI is redefining #humanresourcemanagement and how it can benefit your business.
https://www.batoi.com/blogs/insights/artificial-intelligence-redefining-human-resource-management-635f96077319f?utm_content=buffer8d697&utm_medium=social&utm_source=twitter.com&utm_campaign=SM -
AI Reshapes Cybersecurity With Faster Scaling, Higher Stakes
The RSA Conference this year was a testament to the seismic shift in cybersecurity: AI is revolutionizing the industry with unprecedented investment and innovation. Venture funding is now focused on a select few AI-powered startups that promise to deliver game-changing security outcomes.
#Ai #Cybersecurity #VentureCapital #EmergingThreats #ArtificialIntelligence
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At Amazon event, San Francisco Mayor Daniel Lurie defends city and touts AI-driven rebound - SAN FRANCISCO — Facing renewed threats of federal intervention from President... - https://www.geekwire.com/2025/at-amazon-event-san-francisco-mayor-daniel-lurie-defends-city-and-touts-ai-driven-rebound/ #artificialintelligence #economicrecovery #publicsafety #sanfrancisco #urbanrenewal #daniellurie #scaleai #amazon #aiboom #openai #civic
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Is AI the Antichrist? What the Question Really Reveals About Us explores fears around AI, faith, and human nature—showing how technology reflects deeper concerns about truth, control, and belief. Read more: https://solihullpublishing.com/blog/f/is-ai-the-antichrist-what-the-question-really-reveals-about-us
#ArtificialIntelligence #FaithAndTechnology #AIEthics #CriticalThinking #DigitalAge #SpiritualReflection
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Is AI the Antichrist? What the Question Really Reveals About Us explores fears around AI, faith, and human nature—showing how technology reflects deeper concerns about truth, control, and belief. Read more: https://solihullpublishing.com/blog/f/is-ai-the-antichrist-what-the-question-really-reveals-about-us
#ArtificialIntelligence #FaithAndTechnology #AIEthics #CriticalThinking #DigitalAge #SpiritualReflection