Binyuan Hui

@huybery

Formerly @Alibaba_Qwen

huybery.github.io

Joined May 2019

Replies Reposts Media

Binyuan Hui
@huybery
Sep 11
interesting work! 🎉 @ysu_nlp
NeoCognition
@NeoCognition
Sep 10
Introducing ApprenticeBench: computer use + continual learning on a real job. We show Fable 5.1 and GPT-6 Astra can now continually learn on a job and surpass human professionals. A decisive step change in AI's job readiness. No FDEs. Agents deploy themselves into the job. 🧵
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Binyuan Hui
@huybery
Sep 7
my biggest takeaway from GPT-6 Astra: for any task in the digital world with accessible and reliable tools, agents will solve it
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Binyuan Hui
@huybery
Aug 3
Cool!! building games is a great way to test LLM. It covers reasoning, planning, coding, tool (lib) use, multimdal understanding, and more. But it seems like the community still lacks a standardized benchmark for building games?
Andrej Karpathy
@karpathy
Aug 2
We're starting to leave the territory where you'd test an LLM by e.g. "create an svg of pelican on a bicycle". As one idea to generalize it, I was interested what Opus 5 would do if I gave it the first paragraph of the Lord of the Rings, a 1M token budget (~$10) and asked for
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Binyuan Hui
@huybery
Aug 1
I think coding agents have driven much of AI’s progress over the past two years. Do you see any new direction that feels equally exciting?
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Binyuan Hui
@huybery
Apr 22
Big congrats!! Can’t wait to see some exciting things happen!
Yu Su
@ysu_nlp
Apr 21
Introducing @NeoCognition, the agent lab for specialized intelligence. Everyone needs experts, but human expertise does not scale. Backed by $40M seed funding, we build self-learning agents that specialize across domains to make expertise abundant.
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