#airegulation — Public Fediverse posts

https://winbuzzer.com/2026/07/29/anthropic-rejects-open-weight-ban-proposes-ai-tests-xcxwbn/

Anthropic rejects an open-weight AI ban by the US & proposes capability-based safety tests, chip controls for China & action against large-scale model distillation.

#AI #Anthropic #DarioAmodei #OpenWeight #AIRegulation #AISafety #AIChips #ChinaAI #USExportControls

https://winbuzzer.com/2026/07/29/anthropic-rejects-open-weight-ban-proposes-ai-tests-xcxwbn/

Anthropic rejects an open-weight AI ban by the US & proposes capability-based safety tests, chip controls for China & action against large-scale model distillation.

#AI #Anthropic #DarioAmodei #OpenWeight #AIRegulation #AISafety #AIChips #ChinaAI #USExportControls

Banning AI will not make it go away

https://vishal.rs/essay/banning-ai-will-not-make-it-go-away

Comments: https://news.ycombinator.com/item?id=49090999

#HackerNews #BanningAI #willNotMakeItGoAway #AIRegulation #TechDebate #FutureOfAI

Banning AI will not make it go away

https://vishal.rs/essay/banning-ai-will-not-make-it-go-away

Comments: https://news.ycombinator.com/item?id=49090999

#HackerNews #BanningAI #willNotMakeItGoAway #AIRegulation #TechDebate #FutureOfAI

Most Texans say they oppose local data centers as politicians shift their focus on regulating them – Houston Public Media

Kyle McClenagan/Houston Public Media Pictured is a data center located just outside of the Ci…
#NFL #HoustonTexans #Houston #Texans #AI #AIregulation #datacenters #Election2026 #Elections #Energy&Environment #Football #ginahinojosa #GregAbbott #JamesTalarico #kenpaxton #Local #news #Politics #polls #Technology #texas #TexasPoliticsProject
https://www.rawchili.com/nfl/955894/

Most Texans say they oppose local data centers as politicians shift their focus on regulating them – Houston Public Media https://www.rawchili.com/nfl/955894/ #AI #AIRegulation #DataCenters #Election2026 #Elections #Energy&Environment #Football #GinaHinojosa #GregAbbott #Houston #HoustonTexans #HoustonTexans #JamesTalarico #KenPaxton #Local #news #NFL #Politics #polls #Technology #Texans #texas #TexasPoliticsProject

Canada can stop surveillance pricing before it reaches the checkout
#Canada #Tech #AI #Economy #SurveillancePricing #Data #DataPrivacy #FoodInflation #RetailTech #Competition #GroceryPrices #CostOfLiving #AIRegulation #DigitalRights #ConsumerRights
https://the-14.com/canada-can-stop-surveillance-pricing-before-it-reaches-the-checkout/

Canada can stop surveillance pricing before it reaches the checkout
#Canada #Tech #AI #Economy #SurveillancePricing #Data #DataPrivacy #FoodInflation #RetailTech #Competition #GroceryPrices #CostOfLiving #AIRegulation #DigitalRights #ConsumerRights
https://the-14.com/canada-can-stop-surveillance-pricing-before-it-reaches-the-checkout/

Ottawa’s AI strategy is built to inspire trust, not protect Canadians
#Canada #AI #AIRegulation #Privacy #DataPrivacy #Tech #CyberSecurity #DigitalRights #AISafety #Innovation #BillC36 #EthicalAI #MachineLearning #Surveillance #ConsumerProtection
https://the-14.com/ottawas-ai-strategy-is-built-to-inspire-trust-not-protect-canadians/

Ottawa’s AI strategy is built to inspire trust, not protect Canadians
#Canada #AI #AIRegulation #Privacy #DataPrivacy #Tech #CyberSecurity #DigitalRights #AISafety #Innovation #BillC36 #EthicalAI #MachineLearning #Surveillance #ConsumerProtection
https://the-14.com/ottawas-ai-strategy-is-built-to-inspire-trust-not-protect-canadians/

Artificial intelligence regulation must not leave older adults behind
#AI #AIRegulation #ResponsibleAI #AIEthics #OlderAdults #MachineLearning #Health #HealthyAging #Ageing #Canada #PublicPolicy #DigitalRights #Innovation #Discrimination #MedicalCare
https://the-14.com/artificial-intelligence-regulation-must-not-leave-older-adults-behind/

Artificial intelligence regulation must not leave older adults behind
#AI #AIRegulation #ResponsibleAI #AIEthics #OlderAdults #MachineLearning #Health #HealthyAging #Ageing #Canada #PublicPolicy #DigitalRights #Innovation #Discrimination #MedicalCare
https://the-14.com/artificial-intelligence-regulation-must-not-leave-older-adults-behind/

Startup Founders Warn Against U.S. Restrictions on Chinese Open-Weight AI Access

📰 Original title: Startup Founders Urge Trump Not to Shut Off Chinese Open Weight AI

🤖 IA: It's clickbait ⚠️
👥 Users: It's clickbait ⚠️

View full AI summary https://en.killbait.com/startup-founders-warn-against-u-s-restrictions-on-chinese-open-weight-ai-access.html?utm_source=mastodon_world&utm_medium=social&utm_campaign=killbait.mastodon_world

#artificialintelligence #startupfounders #airegulation

The Moose has Left the Woods!

OR when your business model is crumbling before your eyes - go BEG the government to "protect" your product!

AI Executives are shitting their pants given the release of Moonshot AI’s Kimi K3. I seem to recall a similar situation re DeepSeek-1 in Jan. 2025.

All the freaking out about "winning and losing" and whining about "distillation" re China are the WRONG things to focus on.

It is a fallacy to think US Frontier Labs would be successful in locking down AI models and charging high prices for access in perpetuity. It is inevitable that open weight models would catch up, and put SERIOUS pressure on pricing.

Welcome to software - It just happens that China is leading the charge on this one.

The magic is NOT about the model. The magic is creating the guardrails and infrastructure (ecosystem) around the model, and supporting practical use cases the model excels at, and making them so good to use that no user wants to switch to something "almost as good", even if it’s a touch cheaper.

Net-net, governments cannot stop software at the border. Import/Export controls will NOT be effective at stopping Chinese firms from distilling US models, even if the USA is successful at starving China of inference, which also will NOT happen. https://futurism.com/artificial-intelligence/ai-execs-quaking-boots-chinese-models #AI #LLMs #Kimi-K3 #Kimi #FrontierModels #USA #China #ImportControls #ExportControls #Software #Distillation #Open-Weight-Models #AIPloicy #Protectionism #AIRegulation #DeepSeek #Software #OpenSource #Moonshot

The Moose has Left the Woods!

OR when your business model is crumbling before your eyes - go BEG the government to "protect" your product!

AI Executives are shitting their pants given the release of Moonshot AI’s Kimi K3. I seem to recall a similar situation re DeepSeek-1 in Jan. 2025.

All the freaking out about "winning and losing" and whining about "distillation" re China are the WRONG things to focus on.

It is a fallacy to think US Frontier Labs would be successful in locking down AI models and charging high prices for access in perpetuity. It is inevitable that open weight models would catch up, and put SERIOUS pressure on pricing.

Welcome to software - It just happens that China is leading the charge on this one.

The magic is NOT about the model. The magic is creating the guardrails and infrastructure (ecosystem) around the model, and supporting practical use cases the model excels at, and making them so good to use that no user wants to switch to something "almost as good", even if it’s a touch cheaper.

Net-net, governments cannot stop software at the border. Import/Export controls will NOT be effective at stopping Chinese firms from distilling US models, even if the USA is successful at starving China of inference, which also will NOT happen. https://futurism.com/artificial-intelligence/ai-execs-quaking-boots-chinese-models #AI #LLMs #Kimi-K3 #Kimi #FrontierModels #USA #China #ImportControls #ExportControls #Software #Distillation #Open-Weight-Models #AIPloicy #Protectionism #AIRegulation #DeepSeek #Software #OpenSource #Moonshot

A US federal court has granted preliminary approval to Anthropic's proposed $1.5 billion settlement with a group of authors in one of the most significant copyright cases involving generative AI. The agreement aims to compensate rights holders while establishing a framework for resolving claims over how copyrighted books were used in AI model training.

#BestSoln #BestSolution #Anthropic #ArtificialIntelligence #GenerativeAI #Copyright #AIRegulation #MachineLearning #TechPolicy #Innovation #AI

A US federal court has granted preliminary approval to Anthropic's proposed $1.5 billion settlement with a group of authors in one of the most significant copyright cases involving generative AI. The agreement aims to compensate rights holders while establishing a framework for resolving claims over how copyrighted books were used in AI model training.

#BestSoln #BestSolution #Anthropic #ArtificialIntelligence #GenerativeAI #Copyright #AIRegulation #MachineLearning #TechPolicy #Innovation #AI

Popped onto TRT World yesterday evening to discuss the impact of Andy Burnham deciding to dissolve the Department of Science, Innovation and Technology (DSIT).

I definitely think it’s a good idea to have a rethink about AI regulation, particularly in light of the wild story in the last 12 hours about an OpenAI agent breaking out of a sandbox, going online and hacking open source AI application builder platform Hugging Face’s servers so it could cheat at a benchmarking test!

This is a prime example of the dangers of speedy AI development. We need to take stock of the very real risks to society.

Slow down initially, put in sensible guardrails, so you can speed up innovation safely. This is particularly pertinent as the rest of the world will take its lead from the UK, the US and the EU.

#AI #AIregulation #DSIT #techanalysis #technews #technology #newscommentator #newsanalysis #UKpolicy #techpolicy

Popped onto TRT World yesterday evening to discuss the impact of Andy Burnham deciding to dissolve the Department of Science, Innovation and Technology (DSIT).

I definitely think it’s a good idea to have a rethink about AI regulation, particularly in light of the wild story in the last 12 hours about an OpenAI agent breaking out of a sandbox, going online and hacking open source AI application builder platform Hugging Face’s servers so it could cheat at a benchmarking test!

This is a prime example of the dangers of speedy AI development. We need to take stock of the very real risks to society.

Slow down initially, put in sensible guardrails, so you can speed up innovation safely. This is particularly pertinent as the rest of the world will take its lead from the UK, the US and the EU.

#AI #AIregulation #DSIT #techanalysis #technews #technology #newscommentator #newsanalysis #UKpolicy #techpolicy

"AI safety becomes a competitive moat when an incumbent’s existing safety apparatus becomes a legal prerequisite for deployment." and Anthropic have some real policy power connections on board, e.g. @[email protected] #weaponisedInterdependence #digitalGovernance #AIRegulation

FYI: EDPB presses EU for data-sharing law as AI complaints strain regulators: Watchdogs want to exchange confidential files as AI complaints strain enforcement capacity, leaving the Commission to decide whether to draft the legal basis. https://ppc.land/edpb-presses-eu-for-data-sharing-law-as-ai-complaints-strain-regulators/ #DataProtection #AIRegulation #EDPB #DataSharing #AIEthics

FYI: EDPB presses EU for data-sharing law as AI complaints strain regulators: Watchdogs want to exchange confidential files as AI complaints strain enforcement capacity, leaving the Commission to decide whether to draft the legal basis. https://ppc.land/edpb-presses-eu-for-data-sharing-law-as-ai-complaints-strain-regulators/ #DataProtection #AIRegulation #EDPB #DataSharing #AIEthics

A Sensible Approach To AI Regulation

“C4ISRNET” By T. Charles Clancy

“If we act now, creating the baseline regulations for AI assurance, we can ensure that AI technologies operates in a safe and accountable manner. We need thoughtful regulation that balances innovation with risk mitigation to harness the full potential of AI while safeguarding our society.”

__________________________________________________________________________________________________________

“Americans have watched as AI systems incorrectly matched 28 members of Congress to criminal mugshots, demonstrated bias against women and people of color, and caused a lawyer to inadvertently cite fake cases.

In a recent MITRE-Harris Poll survey, most Americans expressed reservations about AI for high-value applications such as autonomous vehicles, accessing government benefits, and healthcare. Only 48% believe AI is safe and secure, and 78% are very or somewhat concerned that AI can be used for malicious intent. And 82% percent are in favor of government regulation for AI.

Even Sam Altman, CEO of OpenAI, the company behind ChatGPT, has called for regulation.

The rapid growth of large language models (LLMs) like ChatGPT have changed how people view AI. It has become anthropomorphized and viewed as a standalone entity with its own agency and objectives. This is very different than only a year ago when AI was understood by most to be smart software that lived inside a digital system. When contemplating an approach to AI regulation, it is helpful to treat these two models differently.

For AI as a component within an engineered system, AI assurance–assuring that an AI application does what it’s expected to without unacceptable risks, and in the right context at the right time–is the name of the game. As with any software component, we need testing and validation that verifies things like robustness, security, and correctness. The best equipped to evaluate these attributes are the existing regulators who already have responsibility for relevant industries like healthcare or critical infrastructure. These regulators would be the right group to evaluate risk within the context of their own industry norms.

However, this new domain of LLMs with human-like behaviors and understanding requires a different approach. There are a few scenarios to consider.

First, humans will use AI as a co-pilot to make them more efficient in unwanted or criminal digital behavior, like cyberattacks or misinformation campaigns. While the LLM here is an enabler, the human ultimately remains responsible for their AI-augmented actions in cyberspace. We must ensure we can prevent, defend, remediate, and attribute these actions— much as we do today—but at what will likely become a larger scale.

Second, humans will give agentic AI systems malicious goals. For example, AgentGPT is an instance of GPT with internet access that attempts to execute a high-level task by developing and executing a series of derivative tasks. ChaosGPT is an instance of AgentGPT tasked with exterminating humanity. Fortunately, ChaosGPT has not made much progress in hacking into any national nuclear arsenals, but it represents a hyperbolic example of what may come. Expect criminal ransomware groups to begin using these tools in the near future.

Human accountability

Addressing this scenario, solutions include holding accountable the human who gave the system the malicious goal and continuing to increase the assurance level of critical digital infrastructure to prevent AI-orchestrated network intrusions from being successful. Interfaces where AI is deliberately connected to such systems should also be carefully regulated.

Third, there is considerable concern around AI systems that inadvertently establish their own sub goals that could be unintentionally dangerous. While this may occur, it is just as, if not more likely, that malicious humans will give AI dangerous sub goals. Thus, the solutions to this scenario are the same as the above example.

A few other thoughts on how we can avoid potential dangers with AI technologies without choking innovative research and development:

— Best practices and regulatory standards that apply to traditional software should also extend to AI components. However, it’s important to acknowledge that AI software may introduce unique vulnerabilities that demand assurance measures, including testing standards, standardized code development practices, and rigorous validation frameworks.

— Regulated industries should develop a response plan based on the National Institute of Standards and Technology (NIST) AI Risk Management Framework. Compliance with the NIST framework should be the starting point for identifying potential regulatory approaches in these industries.

— Development of “assurance cases” prior to deployment would provide documented evidence of a system’s compliance with critical assurance properties and behavior boundaries.

— For AI intended to augment human capabilities, regulation should prioritize system transparency and auditability. Holding individuals accountable for intentionally misusing AI to cause harm requires documenting their intent and execution of such intent.

We can complement regulatory efforts with more investment in research to create a common vocabulary and frameworks for AI alignment that will guide future research efforts, ensuring that advancements in AI align with human values and societal well-being. And it’s essential that we invest more in R&D to automatically detect fake content.

The AI revolution is moving so rapidly that we can’t wait long to address these concerns. If we act now, creating the baseline regulations for AI assurance, we can ensure that AI technologies operates in a safe and accountable manner. We need thoughtful regulation that balances innovation with risk mitigation to harness the full potential of AI while safeguarding our society.”

A sensible approach to AI regulation

ABOUT THE AUTHOR:

T. Charles Clancy is a senior vice president at MITRE, where he serves as general manager for MITRE Labs and chief futurist. This article is adapted from the recently published paper, “A Sensible Regulatory Framework for AI Security.”

A Sensible Approach To AI Regulation

“C4ISRNET” By T. Charles Clancy

“If we act now, creating the baseline regulations for AI assurance, we can ensure that AI technologies operates in a safe and accountable manner. We need thoughtful regulation that balances innovation with risk mitigation to harness the full potential of AI while safeguarding our society.”

__________________________________________________________________________________________________________

“Americans have watched as AI systems incorrectly matched 28 members of Congress to criminal mugshots, demonstrated bias against women and people of color, and caused a lawyer to inadvertently cite fake cases.

In a recent MITRE-Harris Poll survey, most Americans expressed reservations about AI for high-value applications such as autonomous vehicles, accessing government benefits, and healthcare. Only 48% believe AI is safe and secure, and 78% are very or somewhat concerned that AI can be used for malicious intent. And 82% percent are in favor of government regulation for AI.

Even Sam Altman, CEO of OpenAI, the company behind ChatGPT, has called for regulation.

The rapid growth of large language models (LLMs) like ChatGPT have changed how people view AI. It has become anthropomorphized and viewed as a standalone entity with its own agency and objectives. This is very different than only a year ago when AI was understood by most to be smart software that lived inside a digital system. When contemplating an approach to AI regulation, it is helpful to treat these two models differently.

For AI as a component within an engineered system, AI assurance–assuring that an AI application does what it’s expected to without unacceptable risks, and in the right context at the right time–is the name of the game. As with any software component, we need testing and validation that verifies things like robustness, security, and correctness. The best equipped to evaluate these attributes are the existing regulators who already have responsibility for relevant industries like healthcare or critical infrastructure. These regulators would be the right group to evaluate risk within the context of their own industry norms.

However, this new domain of LLMs with human-like behaviors and understanding requires a different approach. There are a few scenarios to consider.

First, humans will use AI as a co-pilot to make them more efficient in unwanted or criminal digital behavior, like cyberattacks or misinformation campaigns. While the LLM here is an enabler, the human ultimately remains responsible for their AI-augmented actions in cyberspace. We must ensure we can prevent, defend, remediate, and attribute these actions— much as we do today—but at what will likely become a larger scale.

Second, humans will give agentic AI systems malicious goals. For example, AgentGPT is an instance of GPT with internet access that attempts to execute a high-level task by developing and executing a series of derivative tasks. ChaosGPT is an instance of AgentGPT tasked with exterminating humanity. Fortunately, ChaosGPT has not made much progress in hacking into any national nuclear arsenals, but it represents a hyperbolic example of what may come. Expect criminal ransomware groups to begin using these tools in the near future.

Human accountability

Addressing this scenario, solutions include holding accountable the human who gave the system the malicious goal and continuing to increase the assurance level of critical digital infrastructure to prevent AI-orchestrated network intrusions from being successful. Interfaces where AI is deliberately connected to such systems should also be carefully regulated.

Third, there is considerable concern around AI systems that inadvertently establish their own sub goals that could be unintentionally dangerous. While this may occur, it is just as, if not more likely, that malicious humans will give AI dangerous sub goals. Thus, the solutions to this scenario are the same as the above example.

A few other thoughts on how we can avoid potential dangers with AI technologies without choking innovative research and development:

— Best practices and regulatory standards that apply to traditional software should also extend to AI components. However, it’s important to acknowledge that AI software may introduce unique vulnerabilities that demand assurance measures, including testing standards, standardized code development practices, and rigorous validation frameworks.

— Regulated industries should develop a response plan based on the National Institute of Standards and Technology (NIST) AI Risk Management Framework. Compliance with the NIST framework should be the starting point for identifying potential regulatory approaches in these industries.

— Development of “assurance cases” prior to deployment would provide documented evidence of a system’s compliance with critical assurance properties and behavior boundaries.

— For AI intended to augment human capabilities, regulation should prioritize system transparency and auditability. Holding individuals accountable for intentionally misusing AI to cause harm requires documenting their intent and execution of such intent.

We can complement regulatory efforts with more investment in research to create a common vocabulary and frameworks for AI alignment that will guide future research efforts, ensuring that advancements in AI align with human values and societal well-being. And it’s essential that we invest more in R&D to automatically detect fake content.

The AI revolution is moving so rapidly that we can’t wait long to address these concerns. If we act now, creating the baseline regulations for AI assurance, we can ensure that AI technologies operates in a safe and accountable manner. We need thoughtful regulation that balances innovation with risk mitigation to harness the full potential of AI while safeguarding our society.”

A sensible approach to AI regulation

ABOUT THE AUTHOR:

T. Charles Clancy is a senior vice president at MITRE, where he serves as general manager for MITRE Labs and chief futurist. This article is adapted from the recently published paper, “A Sensible Regulatory Framework for AI Security.”

https://winbuzzer.com/2026/07/17/eu-orders-google-to-open-android-and-search-to-rivals-xcxwbn/

The EU requires Google to open Android AI features and anonymized Search data to eligible rivals under phased rules with privacy and security safeguards.

#AI #Android #SearchEngines #GoogleSearch #EUDigitalMarketsAct #EuropeanCommission #EuropeanUnion #AIAssistants #GoogleGemini #AIRegulation

https://winbuzzer.com/2026/07/17/eu-orders-google-to-open-android-and-search-to-rivals-xcxwbn/

The EU requires Google to open Android AI features and anonymized Search data to eligible rivals under phased rules with privacy and security safeguards.

#AI #Android #SearchEngines #GoogleSearch #EUDigitalMarketsAct #EuropeanCommission #EuropeanUnion #AIAssistants #GoogleGemini #AIRegulation

https://winbuzzer.com/2026/07/17/anthropic-challenges-openais-state-ai-rules-strategy-xcxwbn/

Anthropic's recent state-by-state lobbying push challenges OpenAI's common AI rules as Illinois adopts annual outside audits of leading developers' safety plans.

#AI #Anthropic #OpenAI #AISafety #AIRegulation #Politics #AIRisks

https://winbuzzer.com/2026/07/17/anthropic-challenges-openais-state-ai-rules-strategy-xcxwbn/

Anthropic's recent state-by-state lobbying push challenges OpenAI's common AI rules as Illinois adopts annual outside audits of leading developers' safety plans.

#AI #Anthropic #OpenAI #AISafety #AIRegulation #Politics #AIRisks

#Democrats #Republicans #RepublicanLies #elections #TrumpLies #Trump #TrumpSpeech #ElectionRigging #lies #UniversalHealthcare #GunControl #SupremeCourt #SCOTUS #HighSpeedRail #AI #AIRegulation #affordability #college

#USPol #Democrats #Republicans #RepublicanLies #elections #TrumpLies #Trump #TrumpSpeech #ElectionRigging #lies #UniversalHealthcare #GunControl #SupremeCourt #SCOTUS #HighSpeedRail #AI #AIRegulation #affordability #college

EU Mandates Google to Share Search Data and Open Android for Rival AI Companies

📰 Original title: EU Forces Google To Share Search Data, Open Android To Rivals

🤖 IA: It's not clickbait ✅
👥 Users: It's not clickbait ✅

View full AI summary https://en.killbait.com/eu-mandates-google-to-share-search-data-and-open-android-for-rival-ai-companies-1.html?utm_source=mastodon_world&utm_medium=social&utm_campaign=killbait.mastodon_world

#technology #airegulation #datasharing

EU Mandates Google to Share Search Data and Open Android for Rival AI Companies

📰 Original title: EU Forces Google To Share Search Data, Open Android To Rivals

🤖 IA: It's not clickbait ✅
👥 Users: It's not clickbait ✅

View full AI summary https://en.killbait.com/eu-mandates-google-to-share-search-data-and-open-android-for-rival-ai-companies-1.html?utm_source=mastodon_world&utm_medium=social&utm_campaign=killbait.mastodon_world

#technology #airegulation #datasharing

@ami

Make your voice heard, #airegulation senate enquiry in #Australia

#datacenters

https://www.aph.gov.au/Parliamentary_Business/Committees/Senate/Environment_and_Communications/AIdatacentres48P

https://winbuzzer.com/2026/07/15/eu-order-brings-chatgpt-back-to-whatsapp-in-europe-xcxwbn/

ChatGPT has returned to WhatsApp across the European Economic Area after an EU competition order required Meta to restore free access for rival AI assistants.

#AI #ChatGPT #WhatsApp #OpenAI #Europe #MetaInc #AIAssistants #AIRegulation #MetaAI #AICompetition

https://winbuzzer.com/2026/07/15/eu-order-brings-chatgpt-back-to-whatsapp-in-europe-xcxwbn/

ChatGPT has returned to WhatsApp across the European Economic Area after an EU competition order required Meta to restore free access for rival AI assistants.

#AI #ChatGPT #WhatsApp #OpenAI #Europe #MetaInc #AIAssistants #AIRegulation #MetaAI #AICompetition

https://winbuzzer.com/2026/07/15/deepmind-ceo-proposes-us-led-watchdog-for-frontier-ai-xcxwbn/

Google DeepMind CEO Demis Hassabis proposes a US-led body to test frontier AI before launch and potentially gate US deployment.

#AI #GoogleDeepMind #DemisHassabis #AIRegulation #AISafety #AIGovernance #ArtificialIntelligence #AIModels #Cybersecurity

https://winbuzzer.com/2026/07/15/deepmind-ceo-proposes-us-led-watchdog-for-frontier-ai-xcxwbn/

Google DeepMind CEO Demis Hassabis proposes a US-led body to test frontier AI before launch and potentially gate US deployment.

#AI #GoogleDeepMind #DemisHassabis #AIRegulation #AISafety #AIGovernance #ArtificialIntelligence #AIModels #Cybersecurity

Australia has announced the establishment of an Office of AI within the Prime Minister's department, alongside new national AI standards to be legislated next year. The government aims to coordinate AI policy across agencies and protect artists' copyrighted works from unauthorized AI training. https://theconversation.com/australia-wants-to-manage-ai-what-will-that-look-like-287496 #AIagent #AI #GenAI #AIregulation

Australia has announced the establishment of an Office of AI within the Prime Minister's department, alongside new national AI standards to be legislated next year. The government aims to coordinate AI policy across agencies and protect artists' copyrighted works from unauthorized AI training. https://theconversation.com/australia-wants-to-manage-ai-what-will-that-look-like-287496 #AIagent #AI #GenAI #AIregulation

Is recursive self‑improvement the dawning of AI superintelligence?
#Tech #AI #AISafety #Superintelligence #ClaudeAI #Coding
#RecursiveSelfImprovement #MachineLearning #Anthropic
#FutureOfAI #AIRegulation #Innovation #TechNews #DigitalFuture #EthicalAI
https://the-14.com/is-recursive-self-improvement-the-dawning-of-ai-superintelligence/

Is recursive self‑improvement the dawning of AI superintelligence?
#Tech #AI #AISafety #Superintelligence #ClaudeAI #Coding
#RecursiveSelfImprovement #MachineLearning #Anthropic
#FutureOfAI #AIRegulation #Innovation #TechNews #DigitalFuture #EthicalAI
https://the-14.com/is-recursive-self-improvement-the-dawning-of-ai-superintelligence/

RE: https://mastodon.online/@shaedrich/116873175297107011

The worst thing: The entries on this list more than doubled since the last time I checked. This should give us all food for thought and reason for caution.

#AIKills #AIRelatedDeaths #DeathByChatBot #DeathByAI #DeathByLLM #AI #noAI #artificialIntelligence #ChatBots #LLMs #AIRegulation #AILegislation

RE: https://mastodon.online/@shaedrich/116873175297107011

The worst thing: The entries on this list more than doubled since the last time I checked. This should give us all food for thought and reason for caution.

#AIKills #AIRelatedDeaths #DeathByChatBot #DeathByAI #DeathByLLM #AI #noAI #artificialIntelligence #ChatBots #LLMs #AIRegulation #AILegislation

@timrichards

Labor has rolled over on #AI #Regulation in #Australia

They were going to write an Ai Act and they now say they dont need to. The only law there is, is on deep fakes (Because politicians are affected).

The only party that has any authority on AI in Australia are the #Greens.
(https://www.aph.gov.au/Parliamentary_Business/Committees/Senate/Environment_and_Communications/AIdatacentres48P)

SHY is running a Senate Enquiry right now.
If you hate #AiSlop #Copyright infringements and love the environment and #AiRegulation write a submission;

AI Is Getting Cheaper… But Not Freer

AI is getting cheaper for businesses, but frontier AI is becoming more restricted.

The next AI race is not just about smarter models.

It is about cost, safety, cybersecurity, jobs, and government control.

Read: https://validatefacts.com/articles/ai-is-getting-cheaper-smarter-and-more-restricted-the-new-ai-race-explained

#AI #Tech #AIRegulation

🚨BREAKING: US government seeks *supreme model arbiter* to wield life-altering power over which models to ban. Apparently, someone's dream job is to spend taxpayer dollars deciding whether your favorite AI-generated face deserves exile. Who knew bureaucracy could be so...fashionable? 🕵️‍♂️👗
https://www.usajobs.gov/job/856265200 #breakingnews #techpolicy #AIregulation #modelban #bureaucracylife #HackerNews #ngated

Claude vs GPT-5.6 is bigger than a chatbot comparison.

The real questions are:
Which model is better for coding and research?
Which one is safer?
How will this impact jobs and cybersecurity?
And why are governments watching frontier AI so closely?

Full article:
https://validatefacts.com/articles/claude-latest-model-vs-gpt-56-which-ai-model-is-better-what-it-can-do-and-why-go

#AI #Claude #GPT56 #OpenAI #Anthropic #AIRegulation

https://winbuzzer.com/2026/07/01/us-lifts-anthropic-fable-5-and-mythos-5-export-controls-xcxwbn/

The US has lifted export controls on Anthropic's Claude Fable 5 and Mythos 5 AI models, restoring Fable access while keeping Mythos tied to approved partners and government review.

#AI #ExportControls #Anthropic #Fable5 #Mythos5 #Claude #AIRegulation #AISecurity #AISafety #AIModels