kyle retweeted
A man sees in the world what he carries in his heart
Johann Wolfgang von Goethe you beautiful bastard
kyle retweeted
Congratulations to @Meta on releasing Muse Wonder and Muse Wonder Full, the frontier models leading on personal and professional agent tasks!
Excited to share that Abundant supported evals in long-horizon coding.
Muse Wonder Full jumped to 57.5%, ranking 1st place on SWE-Marathon!!!
kyle retweeted
GitHub needs a ranked elo credibility system
repos can set a minimum required elo for contributors.
as you complete more accepted PRs, your elo rises and you become eligible for bigger projects
only way out of this vs everyone disabling PRs
Sad news. We disabled PRs from external contributors on honojs/hono
Hono has not stood here without PRs. I will never forget the PR @usualoma created for RegExpRouter. A damn fast HTTP router we have never seen!
But PRs don't work in this era. Contribute in other ways. Thanks
kyle retweeted
New bench incoming
kyle retweeted
Agents write application code, but you still get paged at 2am when it breaks.
We wanted to know whether AI could handle that part of the job too.
Introducing Incident Arena: a benchmark that puts coding agents on call!
Check out our paper & full dataset release below!
Replying to @googlecloud
@googlecloud and Inferact are announcing today a partnership to make TPU a first-class citizen in @vllm_project.
This partnership puts both teams on one engineering roadmap to bring TPU to the broader open model ecosystem, optimizing vLLM as the agentic production serving engine for TPU:
• Production serving features and optimized kernels
• A native PyTorch path via TorchTPU
• Moving towards day-0 support for frontier model releases
We're also launching a community program: shared TPU capacity for open-source contributors, plus dedicated review and design help from the core vLLM maintainers at Inferact.
Everything this collaboration produces is open source. Read the full announcement: inferact.ai/news/google-tpu-…
kyle retweeted
Replying to @TheZvi
First of all, both CritPt and SciCode are broken
then you have genuine weakness in knowledge and perhaps GDP stuff versus Anthropic, and some other fluff. The core lesson is that AA is untrustworthy until they fix evals
3 months ago i resigned from @OpenAI. today we are launching Energy
everyone will soon use AI for all work on their computers, but very few do today even though AI is good enough
our users do days of work in hours. we'll onboard the world to working with ai
































