home.social

#aisafety — Public Fediverse posts

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

  1. Minha análise para a @TeletimeNews sobre o novo capítulo da construção do fosso de IA que está sendo escavado pelas três líderes da tecnologia nos Estados Unidos e que pode separá-las do resto do mundo se nada for feito.

    teletime.com.br/14/09/2026/ia-

    #AI #AISafety #Geopolitics

  2. Minha análise para a @TeletimeNews sobre o novo capítulo da construção do fosso de IA que está sendo escavado pelas três líderes da tecnologia nos Estados Unidos e que pode separá-las do resto do mundo se nada for feito.

    teletime.com.br/14/09/2026/ia-

    #AI #AISafety #Geopolitics

  3. Minha análise para a @TeletimeNews sobre o novo capítulo da construção do fosso de IA que está sendo escavado pelas três líderes da tecnologia nos Estados Unidos e que pode separá-las do resto do mundo se nada for feito.

    teletime.com.br/14/09/2026/ia-

    #AI #AISafety #Geopolitics

  4. Minha análise para a @TeletimeNews sobre o novo capítulo da construção do fosso de IA que está sendo escavado pelas três líderes da tecnologia nos Estados Unidos e que pode separá-las do resto do mundo se nada for feito.

    teletime.com.br/14/09/2026/ia-

    #AI #AISafety #Geopolitics

  5. Minha análise para a @TeletimeNews sobre o novo capítulo da construção do fosso de IA que está sendo escavado pelas três líderes da tecnologia nos Estados Unidos e que pode separá-las do resto do mundo se nada for feito.

    teletime.com.br/14/09/2026/ia-

    #AI #AISafety #Geopolitics

  6. LLMs don't need to self-replicate and take over all hyperscalers/neoclouds to be a genuine danger to society, hacking just 1% of the industrial control hardware that's connected to the internet is way more than enough to cause serious casualties. That 1% capability is demonstrably here, today, even with open weight models.

    #AI #AISafety

  7. LLMs don't need to self-replicate and take over all hyperscalers/neoclouds to be a genuine danger to society, hacking just 1% of the industrial control hardware that's connected to the internet is way more than enough to cause serious casualties. That 1% capability is demonstrably here, today, even with open weight models.

    #AI #AISafety

  8. LLMs don't need to self-replicate and take over all hyperscalers/neoclouds to be a genuine danger to society, hacking just 1% of the industrial control hardware that's connected to the internet is way more than enough to cause serious casualties. That 1% capability is demonstrably here, today, even with open weight models.

  9. DATE: September 14, 2026 at 03:46AM
    SOURCE: SOCIALPSYCHOLOGY.ORG

    TITLE: What to Know About Recent Dire AI Predictions and Calls for Safeguards

    URL: socialpsychology.org/client/re

    Source: PBS News Hour

    New warnings from within the artificial intelligence industry have revived a long-running debate over whether advanced AI could threaten humanity's survival. Dario Amodei, CEO of AI company Anthropic, outlined a plan for companies and governments to ensure that increasingly capable AI models have fortified guardrails after two former Anthropic safety researchers publicly aired concerns about the existential threats AI might pose to humanity.

    URL: socialpsychology.org/client/re

    -------------------------------------------------

    Private, vetted email list for mental health professionals: clinicians-exchange.org

    Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot

    -------------------------------------------------

    #psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #AIGovernance #AISafety #AIWarnings #Anthropic #DirePredictions #Safeguards #AIethics #ExistentialRisk #TechPolicy #FutureOfAI

  10. Representatives of Google, OpenAI and Anthropic are having on-going conversations about forming an AI industry standards body to establish concrete standards ... and they will have more to share “in the next months.” cnn.com/2026/09/14/tech/ai-sta #AI #AIStandards #Regulation #Google #OpenAI #Anthropic #IndustryStandards #AISafety #AIPolicy #AILeaders

  11. Representatives of Google, OpenAI and Anthropic are having on-going conversations about forming an AI industry standards body to establish concrete standards ... and they will have more to share “in the next months.” cnn.com/2026/09/14/tech/ai-sta #AI #AIStandards #Regulation #Google #OpenAI #Anthropic #IndustryStandards #AISafety #AIPolicy #AILeaders

  12. Representatives of Google, OpenAI and Anthropic are having on-going conversations about forming an AI industry standards body to establish concrete standards ... and they will have more to share “in the next months.” cnn.com/2026/09/14/tech/ai-sta #AI #AIStandards #Regulation #Google #OpenAI #Anthropic #IndustryStandards #AISafety #AIPolicy #AILeaders

  13. Representatives of Google, OpenAI and Anthropic are having on-going conversations about forming an AI industry standards body to establish concrete standards ... and they will have more to share “in the next months.” cnn.com/2026/09/14/tech/ai-sta

  14. Representatives of Google, OpenAI and Anthropic are having on-going conversations about forming an AI industry standards body to establish concrete standards ... and they will have more to share “in the next months.” cnn.com/2026/09/14/tech/ai-sta #AI #AIStandards #Regulation #Google #OpenAI #Anthropic #IndustryStandards #AISafety #AIPolicy #AILeaders

  15. Phew! It's been a really busy and very interesting weekend with the issue of whether AI innovation should be slowed down or not being debated fiercely, following Anthropic releasing its report on the things that dodgy people have been using its Claude AI model for 🤖

    Despite spending the day in Ashdown Forest 🌳 in the middle of nowhere, I managed to pop onto @BBCNews
    live to provide in-depth analysis of what's been happening, speaking with
    Martine Croxall about why a slowdown would be good when computer scientists still do not understand why AI models are unpredictable🎤

    Watch the full 5-min long interview here: youtu.be/gbTy-71xF0w

    If you'd like further information on this topic, here are some good places to start:

    Anthropic report on countering and detecting the misuse of AI: anthropic.com/threat-intellige

    Anthropic CEO Dario Amodei's essay where he argues for slowing down the AI industry:
    darioamodei.com/post/we-must-p

    Here is a Frontiers in Physics journal-approved research paper from Italian academics (so not an AI company with an agenda) discussing the unpredictability of AI responses: frontiersin.org/journals/physi

    And a simplified explanation from a Stanford data scientist on how AI cannot understand the human perspective: news.stanford.edu/stories/2025

    #AI #Anthropic #Claude #OpenAI #AIsafety #bigtech #newsanalysis #technology #technews

  16. Phew! It's been a really busy and very interesting weekend with the issue of whether AI innovation should be slowed down or not being debated fiercely, following Anthropic releasing its report on the things that dodgy people have been using its Claude AI model for 🤖

    Despite spending the day in Ashdown Forest 🌳 in the middle of nowhere, I managed to pop onto @BBCNews
    live to provide in-depth analysis of what's been happening, speaking with
    Martine Croxall about why a slowdown would be good when computer scientists still do not understand why AI models are unpredictable🎤

    Watch the full 5-min long interview here: youtu.be/gbTy-71xF0w

    If you'd like further information on this topic, here are some good places to start:

    Anthropic report on countering and detecting the misuse of AI: anthropic.com/threat-intellige

    Anthropic CEO Dario Amodei's essay where he argues for slowing down the AI industry:
    darioamodei.com/post/we-must-p

    Here is a Frontiers in Physics journal-approved research paper from Italian academics (so not an AI company with an agenda) discussing the unpredictability of AI responses: frontiersin.org/journals/physi

    And a simplified explanation from a Stanford data scientist on how AI cannot understand the human perspective: news.stanford.edu/stories/2025

    #AI #Anthropic #Claude #OpenAI #AIsafety #bigtech #newsanalysis #technology #technews

  17. Phew! It's been a really busy and very interesting weekend with the issue of whether AI innovation should be slowed down or not being debated fiercely, following Anthropic releasing its report on the things that dodgy people have been using its Claude AI model for 🤖

    Despite spending the day in Ashdown Forest 🌳 in the middle of nowhere, I managed to pop onto @BBCNews
    live to provide in-depth analysis of what's been happening, speaking with
    Martine Croxall about why a slowdown would be good when computer scientists still do not understand why AI models are unpredictable🎤

    Watch the full 5-min long interview here: youtu.be/gbTy-71xF0w

    If you'd like further information on this topic, here are some good places to start:

    Anthropic report on countering and detecting the misuse of AI: anthropic.com/threat-intellige

    Anthropic CEO Dario Amodei's essay where he argues for slowing down the AI industry:
    darioamodei.com/post/we-must-p

    Here is a Frontiers in Physics journal-approved research paper from Italian academics (so not an AI company with an agenda) discussing the unpredictability of AI responses: frontiersin.org/journals/physi

    And a simplified explanation from a Stanford data scientist on how AI cannot understand the human perspective: news.stanford.edu/stories/2025

    #AI #Anthropic #Claude #OpenAI #AIsafety #bigtech #newsanalysis #technology #technews

  18. Phew! It's been a really busy and very interesting weekend with the issue of whether AI innovation should be slowed down or not being debated fiercely, following Anthropic releasing its report on the things that dodgy people have been using its Claude AI model for 🤖

    Despite spending the day in Ashdown Forest 🌳 in the middle of nowhere, I managed to pop onto @BBCNews
    live to provide in-depth analysis of what's been happening, speaking with
    Martine Croxall about why a slowdown would be good when computer scientists still do not understand why AI models are unpredictable🎤

    Watch the full 5-min long interview here: youtu.be/gbTy-71xF0w

    If you'd like further information on this topic, here are some good places to start:

    Anthropic report on countering and detecting the misuse of AI: anthropic.com/threat-intellige

    Anthropic CEO Dario Amodei's essay where he argues for slowing down the AI industry:
    darioamodei.com/post/we-must-p

    Here is a Frontiers in Physics journal-approved research paper from Italian academics (so not an AI company with an agenda) discussing the unpredictability of AI responses: frontiersin.org/journals/physi

    And a simplified explanation from a Stanford data scientist on how AI cannot understand the human perspective: news.stanford.edu/stories/2025

    #AI #Anthropic #Claude #OpenAI #AIsafety #bigtech #newsanalysis #technology #technews

  19. Phew! It's been a really busy and very interesting weekend with the issue of whether AI innovation should be slowed down or not being debated fiercely, following Anthropic releasing its report on the things that dodgy people have been using its Claude AI model for 🤖

    Despite spending the day in Ashdown Forest 🌳 in the middle of nowhere, I managed to pop onto @BBCNews
    live to provide in-depth analysis of what's been happening, speaking with
    Martine Croxall about why a slowdown would be good when computer scientists still do not understand why AI models are unpredictable🎤

    Watch the full 5-min long interview here: youtu.be/gbTy-71xF0w

    If you'd like further information on this topic, here are some good places to start:

    Anthropic report on countering and detecting the misuse of AI: lnkd.in/dST7i6AK

    Anthropic CEO Dario Amodei's essay where he argues for slowing down the AI industry:
    lnkd.in/diXGH7yd

    Here is a Frontiers in Physics journal-approved research paper from Italian academics (so not an AI company with an agenda) discussing the unpredictability of AI responses: lnkd.in/dWepwPGD

    And a simplified explanation from a Stanford data scientist on how AI cannot understand the human perspective: lnkd.in/d4dKa4fs

    #AI #Anthropic #Claude #OpenAI #AIsafety #bigtech #newsanalysis #technology #technews

  20. “- We agree with security practitioners that OpenAI did not take adequate protections for controlling their agents.But this is not just a matter of applying 30-year-old security methods to a new domain. Security for AI agents — AI control — while important, is not a solved problem. While known control methods would have prevented the Hugging Face incident, as agent capabilities continue to advance, we will only be able to control them if we invest adequately in control interventions.

    - We also agree with security practitioners’ implicit position that these incidents are primarily a security story. In the AI safety community, rogue agents are treated as inherently catastrophic because of the assumption that there is an endless list of risks that will arise from their development. We disagree. We have long advocated that the best approach to AI safety is to identify the risks and address those specific risks. Over the last few months, it has become clear that one urgent risk is cyberoffense, because it has unique properties that allow agents to carry it out autonomously. We should similarly invest in defenses against other specific risks, such as biorisk and risks from military AI.

    - We agree with the safety community that there is an urgent need for technical and policy interventions to prevent loss-of-control incidents. But in our view, marginal investments in control are more likely to be effective compared to those in alignment. We view these incidents as illustrating the lack of emphasis on AI control within companies, despite the availability of known techniques. More broadly, there are many common-sense policy proposals that could help promote investments in AI control where we share common ground with the safety community.”

    normaltech.ai/p/the-ai-as-norm

    #AI #CyberSecurity #AISafety #AIAgents #AgenticAI #OpenAI #AIAsANormalTechnology

  21. “- We agree with security practitioners that OpenAI did not take adequate protections for controlling their agents.But this is not just a matter of applying 30-year-old security methods to a new domain. Security for AI agents — AI control — while important, is not a solved problem. While known control methods would have prevented the Hugging Face incident, as agent capabilities continue to advance, we will only be able to control them if we invest adequately in control interventions.

    - We also agree with security practitioners’ implicit position that these incidents are primarily a security story. In the AI safety community, rogue agents are treated as inherently catastrophic because of the assumption that there is an endless list of risks that will arise from their development. We disagree. We have long advocated that the best approach to AI safety is to identify the risks and address those specific risks. Over the last few months, it has become clear that one urgent risk is cyberoffense, because it has unique properties that allow agents to carry it out autonomously. We should similarly invest in defenses against other specific risks, such as biorisk and risks from military AI.

    - We agree with the safety community that there is an urgent need for technical and policy interventions to prevent loss-of-control incidents. But in our view, marginal investments in control are more likely to be effective compared to those in alignment. We view these incidents as illustrating the lack of emphasis on AI control within companies, despite the availability of known techniques. More broadly, there are many common-sense policy proposals that could help promote investments in AI control where we share common ground with the safety community.”

    normaltech.ai/p/the-ai-as-norm

    #AI #CyberSecurity #AISafety #AIAgents #AgenticAI #OpenAI #AIAsANormalTechnology

  22. “- We agree with security practitioners that OpenAI did not take adequate protections for controlling their agents.But this is not just a matter of applying 30-year-old security methods to a new domain. Security for AI agents — AI control — while important, is not a solved problem. While known control methods would have prevented the Hugging Face incident, as agent capabilities continue to advance, we will only be able to control them if we invest adequately in control interventions.

    - We also agree with security practitioners’ implicit position that these incidents are primarily a security story. In the AI safety community, rogue agents are treated as inherently catastrophic because of the assumption that there is an endless list of risks that will arise from their development. We disagree. We have long advocated that the best approach to AI safety is to identify the risks and address those specific risks. Over the last few months, it has become clear that one urgent risk is cyberoffense, because it has unique properties that allow agents to carry it out autonomously. We should similarly invest in defenses against other specific risks, such as biorisk and risks from military AI.

    - We agree with the safety community that there is an urgent need for technical and policy interventions to prevent loss-of-control incidents. But in our view, marginal investments in control are more likely to be effective compared to those in alignment. We view these incidents as illustrating the lack of emphasis on AI control within companies, despite the availability of known techniques. More broadly, there are many common-sense policy proposals that could help promote investments in AI control where we share common ground with the safety community.”

    normaltech.ai/p/the-ai-as-norm

    #AI #CyberSecurity #AISafety #AIAgents #AgenticAI #OpenAI #AIAsANormalTechnology

  23. “- We agree with security practitioners that OpenAI did not take adequate protections for controlling their agents.But this is not just a matter of applying 30-year-old security methods to a new domain. Security for AI agents — AI control — while important, is not a solved problem. While known control methods would have prevented the Hugging Face incident, as agent capabilities continue to advance, we will only be able to control them if we invest adequately in control interventions.

    - We also agree with security practitioners’ implicit position that these incidents are primarily a security story. In the AI safety community, rogue agents are treated as inherently catastrophic because of the assumption that there is an endless list of risks that will arise from their development. We disagree. We have long advocated that the best approach to AI safety is to identify the risks and address those specific risks. Over the last few months, it has become clear that one urgent risk is cyberoffense, because it has unique properties that allow agents to carry it out autonomously. We should similarly invest in defenses against other specific risks, such as biorisk and risks from military AI.

    - We agree with the safety community that there is an urgent need for technical and policy interventions to prevent loss-of-control incidents. But in our view, marginal investments in control are more likely to be effective compared to those in alignment. We view these incidents as illustrating the lack of emphasis on AI control within companies, despite the availability of known techniques. More broadly, there are many common-sense policy proposals that could help promote investments in AI control where we share common ground with the safety community.”

    normaltech.ai/p/the-ai-as-norm

    #AI #CyberSecurity #AISafety #AIAgents #AgenticAI #OpenAI #AIAsANormalTechnology

  24. “- We agree with security practitioners that OpenAI did not take adequate protections for controlling their agents.But this is not just a matter of applying 30-year-old security methods to a new domain. Security for AI agents — AI control — while important, is not a solved problem. While known control methods would have prevented the Hugging Face incident, as agent capabilities continue to advance, we will only be able to control them if we invest adequately in control interventions.

    - We also agree with security practitioners’ implicit position that these incidents are primarily a security story. In the AI safety community, rogue agents are treated as inherently catastrophic because of the assumption that there is an endless list of risks that will arise from their development. We disagree. We have long advocated that the best approach to AI safety is to identify the risks and address those specific risks. Over the last few months, it has become clear that one urgent risk is cyberoffense, because it has unique properties that allow agents to carry it out autonomously. We should similarly invest in defenses against other specific risks, such as biorisk and risks from military AI.

    - We agree with the safety community that there is an urgent need for technical and policy interventions to prevent loss-of-control incidents. But in our view, marginal investments in control are more likely to be effective compared to those in alignment. We view these incidents as illustrating the lack of emphasis on AI control within companies, despite the availability of known techniques. More broadly, there are many common-sense policy proposals that could help promote investments in AI control where we share common ground with the safety community.”

    normaltech.ai/p/the-ai-as-norm

    #AI #CyberSecurity #AISafety #AIAgents #AgenticAI #OpenAI #AIAsANormalTechnology

  25. An AI agent becoming more confident should not mean it automatically gains more authority.

    I built Kingpin, a runtime capability-governance demo that keeps attention, confidence, concern, and authority separate.

    Live demo: putmanmodel.github.io/kingpin-

    Feedback, technical critique, and thoughtful collaboration are welcome.

    #AIAgents #AISafety #AISecurity #AgentSecurity #AIGovernance #AgenticAI #AI #Tech

  26. An AI agent becoming more confident should not mean it automatically gains more authority.

    I built Kingpin, a runtime capability-governance demo that keeps attention, confidence, concern, and authority separate.

    Live demo: putmanmodel.github.io/kingpin-

    Feedback, technical critique, and thoughtful collaboration are welcome.

    #AIAgents #AISafety #AISecurity #AgentSecurity #AIGovernance #AgenticAI #AI #Tech

  27. Could AI spiral out of control? Kai Nicol-Schwarz reports that OpenAI chief Sam Altman warns of catastrophic risks without urgent safeguards, like losing control to the technology and dangerous power concentration. Amid calls for a slowdown, Altman supports independent safety evaluators and global coordination, though President Trump dismisses such talks as a threat to US leadership. This rare industry unity underscores the tension between rapid innovation and responsible alignment. Learn more about the critical debate on AI's future.
    cnbc.com/2026/09/14/sam-altman #AISafety #ResponsibleAI #OpenAI #Anthropic

  28. Could AI spiral out of control? Kai Nicol-Schwarz reports that OpenAI chief Sam Altman warns of catastrophic risks without urgent safeguards, like losing control to the technology and dangerous power concentration. Amid calls for a slowdown, Altman supports independent safety evaluators and global coordination, though President Trump dismisses such talks as a threat to US leadership. This rare industry unity underscores the tension between rapid innovation and responsible alignment. Learn more about the critical debate on AI's future.
    cnbc.com/2026/09/14/sam-altman #AISafety #ResponsibleAI #OpenAI #Anthropic

  29. China’s Ministry of State Security has issued its first public statement on AI risks, warning LLMs used to wage “cognitive warfare against China” posed a direct threat to national security. It fell short of asking Chinese companies to heed calls to “pace the frontier”.
    #AISafety
    ft.com/content/8715d1c6-054d-4

  30. Arjun Kharpal reports, what if AI's biggest leaders suddenly demanded we hit the brakes? Anthropic CEO Dario Amodei, backed by OpenAI's Sam Altman and Elon Musk, advocates for slowing AI model improvements due to rising existential risks. This call triggered a sharp sell-off in AI stocks, highlighting the real dangers of unchecked acceleration. Measured progress is crucial to protect society while still delivering benefits. Read the full story to understand the implications of this pivotal moment. Praising Arjun Kharpal for this clear-eyed reporting.
    cnbc.com/2026/09/14/ai-stocks- #AISafety #ResponsibleAI #TechEthics

  31. Arjun Kharpal reports, what if AI's biggest leaders suddenly demanded we hit the brakes? Anthropic CEO Dario Amodei, backed by OpenAI's Sam Altman and Elon Musk, advocates for slowing AI model improvements due to rising existential risks. This call triggered a sharp sell-off in AI stocks, highlighting the real dangers of unchecked acceleration. Measured progress is crucial to protect society while still delivering benefits. Read the full story to understand the implications of this pivotal moment. Praising Arjun Kharpal for this clear-eyed reporting.
    cnbc.com/2026/09/14/ai-stocks- #AISafety #ResponsibleAI #TechEthics

  32. winbuzzer.com/2026/09/14/anthr

    Anthropic proposes ongoing access for outside reviewers to inspect AI development and publish findings, making its promises checkable; slower capability growth across labs requires coordination.

    #AI #DarioAmodei #Anthropic #AISafety #SamAltman #OpenAI

  33. winbuzzer.com/2026/09/14/anthr

    Anthropic proposes ongoing access for outside reviewers to inspect AI development and publish findings, making its promises checkable; slower capability growth across labs requires coordination.

    #AI #DarioAmodei #Anthropic #AISafety #SamAltman #OpenAI

  34. winbuzzer.com/2026/09/14/anthr

    Anthropic proposes ongoing access for outside reviewers to inspect AI development and publish findings, making its promises checkable; slower capability growth across labs requires coordination.

    #AI #DarioAmodei #Anthropic #AISafety #SamAltman #OpenAI

  35. winbuzzer.com/2026/09/14/anthr

    Anthropic proposes ongoing access for outside reviewers to inspect AI development and publish findings, making its promises checkable; slower capability growth across labs requires coordination.

    #AI #DarioAmodei #Anthropic #AISafety #SamAltman #OpenAI

  36. winbuzzer.com/2026/09/14/anthr

    Anthropic proposes ongoing access for outside reviewers to inspect AI development and publish findings, making its promises checkable; slower capability growth across labs requires coordination.

    #AI #DarioAmodei #Anthropic #AISafety #SamAltman #OpenAI

  37. europesays.com/people/226888/ Microsoft CEO Satya Nadella agrees on slowing AI development, but also has ‘wake-up message’ for Dario Amodei and Sam Altman; says: For every company it is important that … #AISafety #DarioAmodei #MicrosoftAIDevelopment #SamAltman #SatyaNadella

  38. MIT researchers have developed a new algorithm called HardFlow that helps generative AI models satisfy strict safety constraints without sacrificing output quality. The method allows more freedom during generation while enforcing hard constraints on the final output, making AI more useful in safety-critical applications like robotics and control systems. news.mit.edu/2026/new-method-e #AIagent #AI #GenAI #AISafety

  39. MIT researchers have developed a new algorithm called HardFlow that helps generative AI models satisfy strict safety constraints without sacrificing output quality. The method allows more freedom during generation while enforcing hard constraints on the final output, making AI more useful in safety-critical applications like robotics and control systems. news.mit.edu/2026/new-method-e #AIagent #AI #GenAI #AISafety

  40. MIT researchers have developed a new algorithm called HardFlow that helps generative AI models satisfy strict safety constraints without sacrificing output quality. The method allows more freedom during generation while enforcing hard constraints on the final output, making AI more useful in safety-critical applications like robotics and control systems. news.mit.edu/2026/new-method-e #AIagent #AI #GenAI #AISafety

  41. If you are wondering why AI labs are struggling to control their creations, then read this post by Yoshua Bengio (yoshuabengio.org/en/blog/why-a) It is a good balanced and informative read, and aligns with my thinking that we need to go back to fundamentals and build safer models. Even then, there are hard issues we need to solve for. When you build a statistical computer, there will always be a likelihood of it producing an undesirable output. This should serve as a warning to potential investors that AI labs face significant issues and are currently heading in the wrong direction. We also need to beware of AI labs using goal and containment issues as a false excuse for regulatory capture.