The feature I most want from AI labs right now is documentation on which underlying search engines they use when their chat tools run a search OpenAI and Anthropic and Meta AI all have search and I have NO IDEA what index they are using (I would hope tha Gemini uses Google!)
REGULATION
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Maintaining Cyber Control with Autonomous AI Systems
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Maintaining cyber control when #AI can act #Autonomously
— Ronald van Loon (@Ronald_vanLoon) 8 avril 2026
by Matthew Lloyd Davies @techradar
Learn more: https://t.co/0BeRyZaQ5S#CyberSecurity #Infosec #IT #Technology pic.twitter.com/hGtv2pnZa8Maintaining cyber control when #AI can act #Autonomously by Matthew Lloyd Davies @techradar Learn more: bit.ly/3NK2TXR #CyberSecurity #Infosec #IT #Technology
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Political opposition to AI and ethical concerns about intelligence technology
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Also, when reality hits, the people who have never used it and see no utility in Intelligence, will easily fall into the AOC/Sanders camp of ‘this is evil billionaire stuff and must be stopped’ camp I suspect. The ‘Demis version’ of we will cure all disease doesn’t seem to be
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GPT-2 Safety Debate: 2019 Warnings Revisited Today
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There's a few people out there who have seen the current day narrative repeated over and over again… I present to you an article from 2019 that describes why GPT-2 is too dangerous to release to the public.
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AI Regulation: American Legislative Chaos of 2026
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Congress has debated federal AI regulation for 3 years. No law passed.45 states got tired of waiting. 1,561 AI bills introduced in 2026 alone.Not one of them sets safety standards or capability limits on actual AI systems. [Translated from EN to English]
→ View original post on X — @scobleizer, 2026-04-08 18:30 UTC
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Mythos AI: Safety Concerns and Need for Global Regulation
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Some sober thinking about Mythos (full version with links at my newsletter): 1It’s probably not as bad as they say, as AI and cybersecurity expert @HeidyKhlaaf explains elsewhere (in a thread “As someone who has audited dozens of safety-critical systems, built static analysis tools, and …. here are some red flags”)  2Whether or not Mythos is AGI per se is a red herring. (It probably isn’t; it’s telling that the report says very little about overall capabilities.) Crucially, AI doesn’t need to be AGI to cause harm! ChatGPT can’t reliably run a timer but it has still been implicated in delusions, suicides, cognitive surrender, mass disinformation, and so much more. Mythos may wreak havoc even if it hallucinates and lacks reliability outside of domains like coding and math. A system doesn’t have to be AGI to carry risks. 3The strongest lesson here is about policy. Anthropic showed some admirable restraint in not publicly releasing a potentially dangerous technology. But some of their competitors (such as OpenAI and xAI) might well not. Whether Mythos is as scary as it sounds or not, the reality is that without any government oversight on what can be released, we are entirely at the mercy of individual CEOs, some of whom have decidedly not earned our trust. 4Corollary, as pointed out to me by a friend, “it is impossible to disentangle real concerns from fear mongering being used as a marketing strategy, and so it just is not possible to separate justified panic from mere advertising which is why we need government oversight!” 5What about China? We need an international agency and treaty. That’s what I have been arguing all along. (That was the point of my 2023 TED talk, and 2023 invited essay with @AnkaReuel in The Economist). We still do. Mythos (and the reporting around Altman) only make that clearer. Self-regulation is too little, too late. The situation is this: three years of self-serving and misleading arguments about how regulation would allegedly preclude innovation has left us up shit’s creek, without a paddle. I can’t tell exactly how far Mythos (or similar competitive systems that will no doubt follow) leave us up that creek, but I do know that the time for crafting paddles is running out.
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Foundation Models Privacy Risks and Governance Requirements
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NEW: Foundation models pose unprecedented privacy risks — from scraping your personal data for training to regurgitating it in outputs. Yet the public currently depends almost entirely on developers to self-police. Our latest issue brief examines what governance mechanisms… pic.twitter.com/xnA0sY8cCw
— Stanford HAI (@StanfordHAI) 8 avril 2026NEW: Foundation models pose unprecedented privacy risks — from scraping your personal data for training to regurgitating it in outputs. Yet the public currently depends almost entirely on developers to self-police. Our latest issue brief examines what governance mechanisms policymakers must consider in order to protect consumers. hai.stanford.edu/policy/data…
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OpenAI and X: Concerns Over AI Safety Restraint
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the biggest fear as noted is that openai and x (and perhaps others) would not show the same restraint.
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International AI Agency and Treaty Advocacy Since 2023
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i have been advocating an international agency and treary around this for years, see my 2023 TED talk and article in the economist.
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Should Dangerous AI Capabilities Be Legally Restricted?
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the question isn’t whether it can be done but whether it should be legal. akin to chemical/biological weapons etc