Jiahui Yu (@jhyuxm) 's Twitter Profile
Jiahui Yu

@jhyuxm

lead the Perception team @OpenAI; previously co-led Gemini Multimodal @GoogleDeepMind. opinions are my own.

ID: 1919620410

linkhttp://jiahuiyu.com/ calendar_today30-09-2013 10:42:41

102 Tweet

5,5K Followers

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The Perception team at OpenAI is hiring Research Engineers and Scientists! If you’re excited about advancing the frontier of perception and our mission to develop safe and beneficial AGI, join us! openai.com/careers/resear…

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I’ve been using multiple search engines for a single query for quite a while, and this search engine is amazing and improving drastically

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We're releasing a preview of OpenAI o1—a new series of AI models designed to spend more time thinking before they respond. These models can reason through complex tasks and solve harder problems than previous models in science, coding, and math. openai.com/index/introduc…

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lowkey vision Perception update from OpenAI 🍓: o1 scored 78.2% on MMMU, making it the first model to be competitive with human experts. It also achieved 73.2% on MathVista. openai.com/index/learning…

lowkey vision Perception update from OpenAI 🍓: 

o1 scored 78.2% on MMMU, making it the first model to be competitive with human experts. It also achieved 73.2% on MathVista.

openai.com/index/learning…
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Hey Zachary Nado, sorry i'm late. 😃 We realized that vision capability was not enabled for the lmsys comparisons since May. It'll be on by default going forward!

Hey <a href="/zacharynado/">Zachary Nado</a>, sorry i'm late. 😃

We realized that vision capability was not enabled for the lmsys comparisons since May. It'll be on by default going forward!
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I wasn’t at NeurIPS this year, but this slide is undeniably offensive and inappropriate. The green NOTE, in particular, is an awkward attempt to excuse the misconduct.

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one of my favorite Parti prompts too! these images brought me back to the days before Parti’s release — wrestling with blurry pixels and chasing fidelity.

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Congrats on the launch HyeonwooNoh ! Your progress and resilience are truly inspiring. Always glad to empower Operator with better Perception!

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> see how it solves a maze lol I tried a 200x200 maze and it worked, but it looked too crowded for the blog post—so we used a 25×25 maze instead.

&gt; see how it solves a maze

lol I tried a 200x200 maze and it worked, but it looked too crowded for the blog post—so we used a 25×25 maze instead.
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> a master's thesis worth of work lol clock reading isn't always accurate yet, but you may find these clocks from the internet interesting in one of my tests, the model reads the clock back and forth ~40 times before reaching a conclusion - scaling with test-compute for real...

&gt; a master's thesis worth of work

lol clock reading isn't always accurate yet, but you may find these clocks from the internet interesting

in one of my tests, the model reads the clock back and forth ~40 times before reaching a conclusion - scaling with test-compute for real...