HackerTrans
TopNewTrendsCommentsPastAskShowJobs

rbitar

no profile record

Submissions

Anthropic pauses Claude Agent SDK policy

5 points·by rbitar·26일 전·1 comments

Vercel AI SDK 6 Beta

v6.ai-sdk.dev
1 points·by rbitar·8개월 전·0 comments

comments

rbitar
·4개월 전·discuss
I think the most exciting change announced here is the use of tool search to dynamically load tools as needed: https://developers.openai.com/api/docs/guides/tools-tool-sea...
rbitar
·6개월 전·discuss
Fantastic, this looks excellent and excited to try it
rbitar
·9개월 전·discuss
I regularly use @ key to add files to context for tasks I know require edits or patterns I want claude to follow, adds a few extra key strokes but in most cases the quality improvement is worth it
rbitar
·9개월 전·discuss
Interesting and if they are using speculative decoding that variance would make sense. Also your numbers line up with what openrouter is now publishing at 169.1tps [1]

Anthropic mentioned this model is more then twice as fast as claude sonnet 4 [2], which OpenRouter averaged at 61.72 tps for sonnet 4 [3]. If these numbers hold we're really looking at an almost 3x improvement in throughput and less then half the initial latency.

[1] https://openrouter.ai/anthropic/claude-haiku-4.5 [2] https://www.anthropic.com/news/claude-haiku-4-5 [3] https://openrouter.ai/anthropic/claude-sonnet-4
rbitar
·9개월 전·discuss
Where do you get the 220 token/second? Genuinely curious as that would be very impressive for a model comparable to sonnet 4. OpenRouter currently publishing around 116/tps[1]

[1] https://openrouter.ai/anthropic/claude-haiku-4.5
rbitar
·9개월 전·discuss
Congrats to the team, I'm surprised the industry hasn't been as impressed with their benchmarks on token throughput. We're using the Qwen 3 Coder 480b model and seeing ~2000 tokens/second, which is easily 10-20x faster then most LLM models on the market. Even some of the fastest models still only achieve 100-150 tokens / second (see OpenRouter stats by provider). I do feel after around 300-400 tokens/second the gains in speed feel more incremental, so if there was a model at 300+ tokens/second, I would consider that a very competitive alternative.
rbitar
·9개월 전·discuss
Really excited for this product, the industry needs alternatives to WebContainers which has become more restrictive around licensing. Also great to see that non-node runtimes (ruby / python) will be supported. Having said that, really wish this was open-source, even if that meant the OSS version had more limited features then the commercial alternative.