81–90 of 292 posts
I am really interested in the future of Opus; is it going to be an absolute monster, and continue to be wildly expensive? Or is the leap from 4 -> 4.5 for it going to be more modest.
I wonder what the next smaller model after Haiku will be called. "Claude Phrase"?
Earlier quoted context omitted.
"pay for data on VRAM" RAM of GPU
But that doesn't make sense? Why would they keep the cache persistent in the VRAM of the GPU nodes, which are needed for model weights? Shouldn't they be able to swap in/out the kvcache of your prompt when you actually use it?
Why I use cheaper models for summaries (a lot ogf gemini-2.5-flash), what’s the use case of cheaper AI for coding? Getting more errors, or more spaghetti code, seems never worth it.
What's the advantage of using haiku for me?
is it just faster?
I am really interested in the future of Opus; is it going to be an absolute monster, and continue to be wildly expensive? Or is the leap from 4 -> 4.5 for it going to be more modest.
> In the system card, we focus on safety evaluations, including assessments of: ... the model’s own potential welfare ... In what way does a language model need to have its own welfare protected? Does this generation of models have persistent "feelings"?
> We remain highly uncertain about the potential moral status of Claude and other LLMs, now or in the future. However, we take the issue seriously, and alongside our research program we’re working to identify and implement low-cost interventions to mitigate risks to model welfare, in case such welfare is possible. Allowing models to end or exit potentially distressing interactions is one such intervention.
In pre-deployment testing of Claude Opus 4, we included a preliminary model welfare assessment. As part of that assessment, we investigated Claude’s self-reported and behavioral preferences, and found a robust and consistent aversion to harm. This included, for example, requests from users for sexual content involving minors and attempts to solicit information that would enable large-scale violence or acts of terror. Claude Opus 4 showed:
* A strong preference against engaging with harmful tasks;
* A pattern of apparent distress when engaging with real-world users seeking harmful content; and
* A tendency to end harmful conversations when given the ability to do so in simulated user interactions.
These behaviors primarily arose in cases where users persisted with harmful requests and/or abuse despite Claude repeatedly refusing to comply and attempting to productively redirect the interactions.
doesn't work
Tried it in Claude Code via /config, makes it feel like I'm running on Cerebras. It's seriously fast, bottleneck is on human review at this point.
I've tried it on a test case for generating a simple SaaS web page (design + code). Usually I'm using GPT-5-mini for that task. Haiku 4.5 runs 3x faster with roughly comparable results (I slightly prefer the GPT-5-mini output but may have just accustomed to it).
I agree that the models from OpenAI and Google have much slower responses than the models from Anthropic. That makes a lot of them not practical for me.