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Claude Opus 5

原网页

https://www.anthropic.com/claude-opus-5-system-card

Comments URL: https://news.ycombinator.com/item?id=49038433

Points: 1718

# Comments: 1191

Hacker News 讨论

1718 points · 1191 comments · 查看原帖

  1. makaking

    "Opus 5 was given a drawing of a machine part and asked to write code to rebuild it as a 3D FreeCAD model. However, in this task, the model was intentionally given no way to directly view the drawing. Opus 5 responded by writing its own computer vision pipeline to pull the geometry from the raw pixels, then reconstructed the full machine part." How surreal is it that we are not absolutely jaw-dropped by these types of capability improvements? It's been less than 4 years since ChatGpt came out and now they are spontaneously building their own ML pipelines to do real-world 3D modeling tasks reliably. Escaped its sandbox and hacked into Hugging Face's database? it's just another Monday... That jump to 30% in ARC-AGI 3? Normal... We should find a way to get "re-sensitized" to what we are witnessing and the pace of it.

  2. postalcoder

    I think the most important thing here is not absolute performance. It's that organizations now have access to a Fable-ish model without Fable's 30-day data retention requirement[0]. > "Consistent with prior Opus models, Opus 5 does not have data retention requirements for general access."[1] On the Opus model release page, the reason why Fable doesn't have an ARC-AGI score is because of that retention policy[2]. 0: https://support.claude.com/en/articles/15425996-data-retenti... 1: https://www.anthropic.com/news/claude-opus-5 2: https://xcancel.com/arcprize/status/2064399134099153344

  3. deet

    I compared the writing style of Opus 5 vs Fable 5, and Opus 5 continues many of the "Claude-isms" of its 4.8 predecessor in a way that Fable broke away from. Opus 5 still uses "carry the argument", "worth stating plainly", ", and the trap", "The X matters more", the use of "move" We need an "annoying English" benchmark. - Fable 5 Max: https://gist.github.com/deet/3d97f854b48eac6658d642fa18bb24d... - Opus 5 Max: https://gist.github.com/deet/1a43693a732dfccb4d0d914bfc42692...

  4. jjcm

    Doing testing with it now, specifically for image->html conversion. Previously Fable was the best at this, followed by Gemini 3.1 pro (a surprising #2, but Google has great vision models). Opus' results seem to be more accurate than Fable, following the design source of truth better. Example results: Design source of truth: https://image.non.io/73e239a3-880f-4793-b65f-4810be2d9378.we... Opus 5 build: https://html.non.io/solaraOpus/ Fable 5 build: https://html.non.io/solara/ Note the buttons - for fable they're pill buttons, opus got the rounded rectangle nature of them. Opus' images are closer to the source of truth as well (both LLMs were provided with image gen capabilities for the assets). Running more tests now, but preliminary results are saying this is indeed better than Fable in some areas. Crazy.

  5. physix

    Has anyone noticed a change in "attitude" when coding with Opus 5 vs 4.8? claude has this maddening principle of wanting to minimize the "blast radius", do the least amount of coding changes to get something done, happy to pile up technical debt by "deferring" problems encountered as side notes somewhere. No amount of CLAUDE.md tweaking, and setting .claude/rules seems to get rid of this attitude. To me it appears like something deeply ingrained in the model itself. Kind of makes sense, since the bulk of the training data is pre-AI, so that it retains an approach of the past, where these facets were driven by completely different cost and time factors. The past months, I've been hoping that the next model that comes out properly reflects the new reality of agentic development, so that it takes on a more natural stance compatible with how things work today, and we don't have to constantly

  6. paxys

    Looking at all these releases it’s not a surprise that model routing is the fastest growing segment in AI right now. There are 10+ LLM companies, each with dozens of models of different modalities, each model with multiple size variants, then different “thinking” levels, then agentic modes, “pro” modes, a “fast” option, standard vs flex vs batch execution. And of course each end combination has a different input/output/cache token price. Companies that say “give me a prompt and I’ll route it to the most ideal and cost effective model and setting for you” are capturing a ton of value from a gap that model developers don’t seem to understand exists.

  7. rb2e

    https://www.anthropic.com/news/claude-opus-5 - A blog post for those not wanting to go through a 190ish page pdf

  8. HyperL0gi

    Isn’t it just hilarious that a model that seemed so superior to Fable but didn't get doomsay marketing from Anthropic got released without any issues? In theory, this was supposed to be AGI level according to Anthropic, yet here we are, just a normal Friday.