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Anthropic calls for top AI labs to weigh slowing or temporarily pausing development, suggesting that self-improving AI systems may soon pose societal risks

The $1 trillion startup warns that AI models are nearing capability to improve without human intervention

Wall Street Journal

Discussion

  • NewsMax.com Sam Barron on x
    Anthropic: Slow the Pace of AI Development
  • @deredleritt3r Prinz on x
    Great definition of RSI: “an AI system capable of fully autonomously designing and developing its own successor”. “We are not there yet.” Why not? “An area of human comparative advantage, for now, is research taste and judgment, including choosing which problems matter, which
  • @jimstewartson @jimstewartson on x
    ANTHROPIC LAUNDERS DOOMER PROPAGANDA THROUGH THE DUMMIES IN THE MSM AGAIN. Every 15 minutes this company puts out another PR about how magical and dangerous and powerful its CHATBOT is. When will you idiots get it? This is an alternate reality game, not a company.
  • @francesco_bia Francesco Bianchi on x
    The risk here might be real, but it is very convenient for a market leader to ask to freeze the status quo https://www.wsj.com/...
  • @lugaricano Luis Garicano on x
    The key threat to the profitability of frontier models is open weights. If they scare the hell out of everyone, the natural move will be to forbid them and allow only"trusted developers" . Sorry for being cynical . https://www.wsj.com/...
  • @kakashiii111 @kakashiii111 on x
    Translation: Anthropic is calling for an end to the race for nonsense, building ever more expensive models, and is finally, maybe, focusing on efficiency to improve costs?
  • @benjamin_horne Ben Horne on x
    Translation: “Here is more ominous bullshit marketing to scare you into buying our shares when we IPO. Expect a steady drip of fearmongering from us over the next ~5 months as we attempt to justify our crazy valuation before we go public.”
  • @arthur_spirling Arthur Spirling on x
    Another call for an AI pause, and another request that the frontier labs themselves should organize and police that pause. Maybe there's a non-cynical way to interpret these plans, but I'm not sure what it is. [image]
  • @robertwrighter Robert Wright on x
    This WSJ headline is a bit misleading. Anthropic said a slowdown or pause would be nice “if it were possible” but that it's not possible since it's not globally verifiable, so Anthropic will study what mechanisms might make it possible. Better than nothing, but still.. [image]
  • @edzitron Ed Zitron on x
    get new material! this shit is so dull.
  • Darius Nassiry Darius Nassiry on linkedin
    The $1 trillion startup warns artificial-intelligence models are nearing capability to improve without human intervention, write Bradley Olson and Sam Schechner in The Wall Street Journal. …
  • r/singularity r on reddit
    Anthropic Urges Global Pause in AI Development, Flags ‘Self-Improvement’ Risk
  • Michelle Farr Michelle Farr on linkedin
    Anthropic published a report on AI building AI.  More than 80% of the code they merged in May was machine written. …
  • Seb Garrioch Seb Garrioch on linkedin
    There is a pattern to be observed: Entire job categories could be wiped out, AI could write 90% of code in three to six months, AI is nearing capability to improve without human intervention. …
  • Marina Favaro Marina Favaro on linkedin
    Today, The Anthropic Institute published “When AI builds itself” (https://lnkd.in/gQp5S_xp), which shows Claude is accelerating AI development. …
  • @anthropicai @anthropicai on x
    Our internal data shows Claude is accelerating AI development—a possible path to recursive self-improvement, or AI autonomously building a more capable successor. It's happening faster than we thought, and the implications deserve greater attention. https://www.anthropic.com/...
  • @anthropicai @anthropicai on x
    Today, Anthropic engineers on average ship 8x as much code per quarter as they did compared to 2021-2025. [image]
  • @alexalbert__ Alex Albert on x
    We just published internal data on how much of Claude's development is already being done by Claude: - Over 80% of all code merged into our codebase is now written by Claude - It's been months since many researchers at Anthropic hand-wrote code - The typical Anthropic engineer sh…
  • @beffjezos @beffjezos on x
    This is why they didn't release Mythos. Incentivized to compound their lead rather than make models available to their potential competitors. For all the Doomer talk of Singleton superintelligence, they are sure behaving in a way that would hyperstition that outcome
  • @_sholtodouglas Sholto Douglas on x
    Programming has already changed dramatically. On my best days - I literally feel IO bandwidth limited managing the concurrent threads. As the models get better the level of abstraction will keep going up - very soon the models will only come to us for hard calls. Eventually -
  • @sleepinyourhat Sam Bowman on x
    The acceleration of technical R&D here over the last few months has been wild. This gives a pretty good picture of what it's been like:
  • @mtslive @mtslive on x
    SITUATION EXPLAINED: Anthropic just published data on how fast AI itself is accelerating AI development. Here are the numbers: • Claude's success rate on open-ended coding problems: 76% • On a standard AI training speedup task: Opus 4 got 3X in May 2024. Mythos Preview got [video…
  • @eliebakouch Elie on x
    great article on RSI by anthropic, i'm a bit curious about this plot i don't think they clarify if people used opus 4.7 when it was release, i'm guessing no, but then it's a bit missleading to put it here imo? i actually think the 4 week trailing average make it hard to see the […
  • @willdepue Will Depue on x
    i will say i was pretty surprised at how little hesitation anyone had before immediately jumping to build RSI the moment it seemed possible i'm not a foomer, but hey, i thought this was what everyone was really worried about? right? it's truly the yudkowsky ‘torment nexus’ era
  • @romeovdean Romeo Dean on x
    This paragraph reads a bit defeatist. And “training runs are far easier to conceal than missile silos” seems overstated. How tractable of a technical problem is it to create a solution to verify training runs aren't happening? My view is its could be done with a few hundred [imag…
  • @eli_lifland Eli Lifland on x
    Kudos to Anthropic for writing about this! I'm confused that even in their most aggressive scenarios humans still “play a substantially diminished role in [AI] development.” Does Anthropic really think that humans will stay relevant indefinitely? [image]
  • @anthropicai @anthropicai on x
    Each time we release a model, we run the same test: give it code that trains a small AI model, ask the new model to speed it up. It takes a skilled human 4-8 hours to reach 4x faster. In May 2024, Claude Opus 4 averaged a ~3x speedup. This April, Mythos Preview achieved ~52x.
  • @joel_bkr Joel Becker on x
    my main takeaway from this post is how unsurprising model capabilities + state of AI R&D automation is vs. expectations based only on public evidence. the internal-external gap is smaller than you might think. https://x.com/...
  • @cerebras @cerebras on x
    We are in the recursive age of AI. Faster inference => faster AI development. Our take on this from the hardware perspective: https://www.cerebras.ai/...
  • @andrewcurran_ Andrew Curran on x
    Anthropic says Recursive Self Improvement is approaching faster than they expected. Quoting from the blog: 'What should we do? If it were possible to effectively slow the development of this technology to give ourselves more time to deal with its immense implications, we think [i…
  • @anthropicai @anthropicai on x
    None of this guarantees recursive self-improvement is on the horizon. It's not yet clear that Claude is capable of research judgment—of choosing the right problems to work on. But if these trends continue, AI systems designing and building their own successors is plausible. This
  • @emollick Ethan Mollick on x
    “As of May 2026, more than 80% of the code we merge into Anthropic's codebase was authored by Claude.” Matches independent measures. There really is no sign this is slowing down (which doesn't mean there aren't organizational challenges to absorbing this much productivity gain) […
  • @anthropicai @anthropicai on x
    AI research is a series of next-step decisions. We looked at sessions where a human researcher took a wrong turn, showed Claude the session up to that point, and asked it what to do next. Mythos Preview improved on humans 64% of the time—up from 22% in 2024. [image]
  • @ahall_research Andy Hall on x
    Could a global slowdown in frontier AI model development really happen? In the midst of progress towards RSI, Anthropic here floats the idea. Demis Hassabis has been floating the same idea, including when he spoke at Stanford a few weeks ago. This would have seemed totally
  • @matthewberman Matthew Berman on x
    recursive self improvement is right around the corner anthropic is willing to slow down, but only if everyone else slows dow nice position to be in when you're in the lead 🤔
  • @tensor_rotator Alek Dimitriev on x
    In case you're wondering, yes we're feeling the AGI. [image]
  • @kimmonismus @kimmonismus on x
    Holy moly, Anthropic is getting very serious about recursive self-improvement! One word: acceleration. Insane blog article. Tl;dr: •We are close to an AI capable of fully autonomously designing and building its own successor •They stress this isn't here yet and isn't [image]
  • @scaling01 @scaling01 on x
    Claude Mythos speeds up training code of small AI models by 52x Humans need 4-8 hours to reach a 4x speedup [image]
  • @scaling01 @scaling01 on x
    Anthropic is shipping 3.2x more code per person with Mythos nowadays than with Opus 4.5 around half a year ago [image]
  • @anthropicai @anthropicai on x
    The speedup isn't just in volume. On open-ended coding problems where answers are unclear, Claude's success rate is now 76%—a 50 point jump in just 6 months. Many engineers also say Claude's code quality is now on par with human code; we expect it to be better within the year. [i…
  • Pramod Khargonekar Pramod Khargonekar on linkedin
    Interesting release from Anthropic.  Recursive self improvement would be a major development.  To what extent are extrapolations from their current progress …
  • Christian Ryan Christian Ryan on linkedin
    Recursive self-improvement is not here, nor is it inevitable.  But if current trends hold, AI designing and building its own successors is no longer a fringe scenario. …
  • Parag Lokhande Parag Lokhande on linkedin
    One idea I can't stop thinking about after reading Anthropic's latest article: what happens when AI starts meaningfully improving the next generation of AI? …
  • Ethan Mollick Ethan Mollick on linkedin
    I think it is really worth reading this piece on RSI at Anthropic.  —  There is a bit of navel-gazing, some marketing …
  • @shubhendu Shubhendu Trivedi on bluesky
    One could read most points here cynically.  But could also take them at their word and see what could be done.  Given the sort of equilibrium we have been post GPT-2, the sort of pause they are advocating is simply not going to happen.  You are talking of powerful international a…
  • @mergesort.me Joe Fabisevich on bluesky
    This was a really good read.  A lot of people are going to focus on specific numbers mentioned in the blog post like “we estimate these 800 API fixes would have taken 4 years”, but I recommend reading the whole thing holistically as a write up of how software development processe…
  • @emollick Ethan Mollick on bluesky
    “As of May 2026, more than 80% of the code we merge into Anthropic's codebase was authored by Claude”  —  Matches independent measures.  There is no sign this is slowing down (which doesn't mean there aren't organizational challenges to absorbing this much productivity) www.anthr…
  • @davidcrespo @davidcrespo on bluesky
    they always want to sound measured but I'm going to go on record and say this is obviously going to be the case  —  www.anthropic.com/institute/ re...  [image]
  • @isolyth.dev Eris on bluesky
    We are at the stage of labs declaring very near future RSI.  Claude writes 80% of Anthropic's code now.  They expect Claude written code to be better than human written code, generally, before the end of this year.  They're aware of possible oil shocks slowing progress.  They dou…
  • @timkellogg.me Tim Kellogg on bluesky
    ALERT ALERT they're posting about RSI on main  —  www.anthropic.com/institute/ re...
  • @ErikJonker@mastodon.social Erik Jonker on mastodon
    Interesting blog from Anthropic about RSI, AI & coding, ofcourse from their perspective but worth reading,  —  https://www.anthropic.com/...  #ai #rsi #coding #anthropic
  • r/accelerate r on reddit
    “Holy moly, Anthropic is getting very serious about recursive self-improvement!  One word: acceleration.  Insane blog article.  Tl;dr: …
  • r/neoliberal r on reddit
    When AI builds itself
  • r/ArtificialInteligence r on reddit
    When AI builds itself
  • r/ClaudeAI r on reddit
    How claude builds claude at Anthropic
  • r/singularity r on reddit
    Mythos can improve speed of training code 52x (compared to human 4x at 4-8hrs)
  • r/technology r on reddit
    Anthropic warns Claude may be accelerating AI development toward self-improving systems “faster than we thought.
  • Vlad Khononov Vlad Khononov on linkedin
    So Anthropic published an article claiming Claude is accelerating AI development.  The proof?  Lines of code. …
  • @timkellogg.me Tim Kellogg on bluesky
    even this.  They used “lines of code” as a value measure, and then immediately laughed it off (as they should) because it can actually be a negative indicatora  —  bsky.app/profile/timk...  [embedded post]
  • @mittromney Mitt Romney on x
    Our highest and most urgent national priority should be AI safeguards. The risks of AI weapons, pathogens, mass unemployment, surveillance, and even extinction must not continue to be largely ignored.
  • @karlbode.com Karl Bode on bluesky
    I simply do not buy this company's “we're the good guys” act.  —  I think they're afraid of AI development leading to open source or chinese on-device AI software alternatives that gives consumers agency and steers the public away from their cloud subscription kingdoms
  • @erictopol Eric Topol on bluesky
    Two of the most powerful technologies we've ever known—CRISPR human embryo editing and self-improving A.I.—are getting actualized, and carry known and unforeseen risks  —  nytimes.com/2026/06/04/s...  wsj.com/tech/ai/anth...  @anthropicai.bsky.social [image]