311–320 of 1001 posts
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This sounds wayyyy over the top for a mode that released 10 mins ago. At least wait an hour or so before spewing breathless hype.
He just explained a specific personal example why he is hyped up, did you read a word of it?
“Speechless, shocked, unbelievable, insane, speechless”, etc.
Not a lot of real substance there.
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> Claude now automatically records and recalls memories as it works Neat: https://code.claude.com/docs/en/memory I guess it's kind of like Google Antigravity's "Knowledge" artifacts?
Are we sure the docs page has been updated yet? Because that page doesn't say anything about automatic recording of memories.
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One aspect of this is that apparently most people can't draw a bicycle much better than this: they get the elements of the frame wrong, mess up the geometry, etc.
Yes, but obviously AGI will solve this by, _checks notes_ more TerraWatts!
I'm disappointed that they're removing the prefill option: https://platform.claude.com/docs/en/about-claude/models/what... > Prefilling assistant messages (last-assistant-turn prefills) is not supported on Opus 4.6. Requests with prefilled assistant messages return a 400 error. That was a really cool feature of the Claude API where you could force it to begin its response with e.g. ` They suggest structured outputs o…
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I have not see any reporting or evidence at all that Anthropic or OpenAI is able to make money on inference yet. > Turns out there was a lot of low-hanging fruit in terms of inference optimization that hadn't been plucked yet. That does not mean the frontier labs are pricing their APIs to cover their costs yet. It can both be true that it has gotten cheaper for them to provide inference and that they still are subsid…
It's quite clear that these companies do make money on each marginal token. They've said this directly and analysts agree [1]. It's less clear that the margins are high enough to pay off the up-front cost of training each model. [1] https://epochai.substack.com/p/can-ai-companies-become-profi...
chasing down a few sources in that article leads to articles like this at the root of claims[1], which is entirely based on information "according to a person with knowledge of the company’s financials", which doesn't exactly fill me with confidence.
[1] https://www.theinformation.com/articles/openai-getting-effic...
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It says "subscription users do not have access to Opus 4.6 1M context at launch" so they are probably planning to roll it out to subscription users too.
Man I hope so - the context limit is hit really quickly in many of my use cases - and a compaction event inevitably means another round of corrections and fixes to the current task. Though I'm wary about that being a magic bullet fix - already it can be pretty "selective" in what it actually seems to take into account documentation wise as the existing 200k context fills.
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I suspect they're training on this. I asked Opus 4.6 for a pelican riding a recumbent bicycle and got this. https://i.imgur.com/UvlEBs8.png
It would be way way better if they were benchmaxxing this. The pelican in the image (both images) has arms. Pelicans don't have arms, and a pelican riding a bike would use it's wings.
I get that Anthropic probably has to do hot rollouts, but IMO it would be way better for mission critical workflows to just be locked out of the system instead of get a vastly subpar response back.
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I suspect they're training on this. I asked Opus 4.6 for a pelican riding a recumbent bicycle and got this. https://i.imgur.com/UvlEBs8.png
It would be way way better if they were benchmaxxing this. The pelican in the image (both images) has arms. Pelicans don't have arms, and a pelican riding a bike would use it's wings.