this is wrong for many reasons
– mythos is not ASI, not even ANthropic is claiming that
– others seem to be close behind, as I posted earlier today; it’s likely a 3 month “win” or something like that, not an enduring advantage.
– regulations and treaties are routine for many
@garymarcus
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Mythos ASI Claims: Competitive Advantage and Regulatory Reality
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Critical Analysis of AI Safety Verification Tools and Benchmarking
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link to @HeidyKhlaaf’s sharp analysis: Dr Heidy Khlaaf (هايدي خلاف) (@HeidyKhlaaf) As someone who has audited dozens of safety-critical systems, built static analysis tools, and used most formal verification and security tools, here are some red flags that should be a caution in taking these claims at face value: 1. There are no comparison benchmarks with 1/ — https://nitter.net/HeidyKhlaaf/status/2041591737563394442#m
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Open Models Discover FreeBSD Zero-Day Vulnerabilities
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this is interesting.
— Gary Marcus (@GaryMarcus) 8 avril 2026
1. Did Anthropic forget to run a control?
2. Where does this leave us? https://t.co/frF8gNNrvOthis is interesting. 1. Did Anthropic forget to run a control? 2. Where does this leave us? Stanislav Fort (@stanislavfort) New post: We tested the Mythos showcase vulnerabilities with open models. They recovered similar scoped analysis! 8/8 models found the flagship FreeBSD zero-day, including a 3B model. Rankings reshuffle completely across tasks => the AI cybersecurity frontier is super jagged! — https://nitter.net/stanislavfort/status/2041922370206654879#m
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Seven Years of Rapid Change in Artificial Intelligence
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Incredible. Gary Marcus (@GaryMarcus) In AI, a lot can change in seven years. — https://nitter.net/GaryMarcus/status/2041953155651661977#m
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Weak Arguments About AI: Intellectual Exercise and Critique
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Dudes who won’t tag me because they know their arguments are weak sauce.*
— Gary Marcus (@GaryMarcus) 8 avril 2026
*for intellectual exercise you can list the flaws and misrepresentations in his argument below pic.twitter.com/gYqiFeUBMDDudes who won’t tag me because they know their arguments are weak sauce.* *for intellectual exercise you can list the flaws and misrepresentations in his argument below
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AGI prediction: not this decade, maybe next
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i have said not this decade, maybe next decade, and i will stick with that.
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Cognitive Engines Hard-Coded Pipelines Over Symbolic Reasoning
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he literallt argued that symbols were like phlogiston (once) and that using them was like using gas engines when we should just electric. the cognitive engines as you call are now hard coded with pipelines to use tools and massive examples for how. not gonna continue the
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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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Neurosymbolic AI: Symbol Placement in Transformer Systems
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please read my 2001 book that laid out what neurosymbolic AI is. you are just wrong. and the python script doing the work is a transformer NOT doing the work. it’s just a question of where you put the symbols. if you don’t have them somewhere in the system (a la what hinton
