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Anthropic details its progress toward recursive self-improvement, and its implications, and says Claude has authored 80%+ of the code merged into its codebase

Our progress toward recursive self-improvement, and its implications.  —  For most of AI's history, humans drove every step in its development cycle.

Anthropic

Discussion

  • @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…
  • @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.
  • @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
  • @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]
  • @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…
  • @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…
  • @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
  • @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 🤔
  • @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/...
  • @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) […
  • @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]
  • @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
  • @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]
  • @_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 -
  • @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…
  • @tensor_rotator Alek Dimitriev on x
    In case you're wondering, yes we're feeling the AGI. [image]
  • @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 […
  • @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…
  • @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/...
  • @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:
  • @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
  • 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 …
  • @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/neoliberal r on reddit
    When AI builds itself
  • 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/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.
  • @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…
  • 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 …
  • 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]