Jason Yosinski

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Jason Yosinski

Jason Yosinski

@jasonyo

Running experiments @OpenAI + @ml_collective. Prev: @Windscape_AI, Uber AI Labs founding team, adviser @RecursionPharma, Cornell, Montreal, Caltech 🌻

San Francisco, CA Katılım Şubat 2008
956 Takip Edilen7K Takipçiler
Jason Yosinski
Jason Yosinski@jasonyo·
We just posted a blog + paper on a a simple but effective approach to model honesty called "Confessions" TL; DR: normal RL training rewards for high performance on a task. Confession training is a separate phase that rewards only for honesty. Test look promising! More:
OpenAI@OpenAI

In a new proof-of-concept study, we’ve trained a GPT-5 Thinking variant to admit whether the model followed instructions. This “confessions” method surfaces hidden failures—guessing, shortcuts, rule-breaking—even when the final answer looks correct. openai.com/index/how-conf…

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Jasmine Wang
Jasmine Wang@j_asminewang·
Today, OpenAI is launching a new Alignment Research blog: a space for publishing more of our work on alignment and safety more frequently, and for a technical audience. alignment.openai.com
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Jason Yosinski
Jason Yosinski@jasonyo·
@oh_that_hat @hugo_larochelle I still remember seeing those plots in group meeting showing way better than chance performance at iter 0 and thinking "yay, another bug to track down".
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Hattie Zhou
Hattie Zhou@oh_that_hat·
Super proud to share that after a long sabbatical, I have finally defended my PhD 🥳🥹 Growing up, I never thought I’d pursue a PhD, and I complained a lot during it, but looking back now it was a very special and precious experience. Special thanks to @hugo_larochelle @AaronCourville @HanieSedghi @bneyshabur @PreetumNakkiran @jasonyo and many MILA friends for advising me through it all 🌺
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ML Collective
ML Collective@ml_collective·
A little while ago, many of you gave generously to support a number of MLC-Nigeria researchers in attending Deep Learning Indaba #DLI2025. Here's the crew 👇that attended; from what we hear it was a bustle of talks, posters, mentorship, and sparks of collaboration!
Mardiyyah@hemhemoh

Today we say goodbye to @DeepIndaba after six inspiring days in Kigali rich with keynotes, tutorials, workshops, mentorship circles, and insightful posters that kept us learning non-stop. Some of us were only able to make it down to #DLI2025 because of your generous support.

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Mardiyyah
Mardiyyah@hemhemoh·
Today we say goodbye to @DeepIndaba after six inspiring days in Kigali rich with keynotes, tutorials, workshops, mentorship circles, and insightful posters that kept us learning non-stop. Some of us were only able to make it down to #DLI2025 because of your generous support.
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Rosanne Liu@savvyRL

The opportunity gap in AI is more striking than ever. We talk way too much about those receiving $100M or whatever for their jobs, but not enough those asking for <$1k to present their work. For 3rd year in a row, @ml_collective is raising funds to support @DeepIndaba attendees.

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Marcus Lewis
Marcus Lewis@mrcslws·
My new favorite hidden iOS feature: Background Sounds Add it to your Control Center Then listen to Daft Punk + rain
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Mehrdad Farajtabar
Mehrdad Farajtabar@MFarajtabar·
🧵 1/8 The Illusion of Thinking: Are reasoning models like o1/o3, DeepSeek-R1, and Claude 3.7 Sonnet really "thinking"? 🤔 Or are they just throwing more compute towards pattern matching? The new Large Reasoning Models (LRMs) show promising gains on math and coding benchmarks, but we found their fundamental limitations are more severe than expected. In our latest work, we compared each “thinking” LRM with its “non-thinking” LLM twin. Unlike most prior works that only measure the final performance, we analyzed their actual reasoning traces—looking inside their long "thoughts". Our analysis reveals several interesting results ⬇️ 📄 machinelearning.apple.com/research/illus… Work led by @ParshinShojaee and @i_mirzadeh, and with @KeivanAlizadeh2, @mchorton1991, Samy Bengio.
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Jason Yosinski
Jason Yosinski@jasonyo·
I am sitting here watching my HF smolagent slowly reason about and click on Captcha squares one a time 🙈. Is this general AI?
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Stephanie Chan
Stephanie Chan@scychan_brains·
When we have low confidence (imposter syndrome), we are often afraid to take action in the world. Specifically, I mean actions that have external impact. Because of this fear of taking action, we then get very little feedback (positive or negative), which reduces learning and growth. Crucially, we also get very few successes! This lack of growth and success further decreases our confidence, and the cycle continues… 1/
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Stephanie Chan
Stephanie Chan@scychan_brains·
Some years ago, I got trapped in a Massive Trough of Imposter Syndrome. It took more than a year to dig myself out of it, but the following framework really helped me. It feels a bit vulnerable to share, but I hope it might help a few others too! A short thread 🧵🙂
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Tom Bishop
Tom Bishop@NotACyborgYet·
Exciting news: we raised a $20M Series A at Glass Imaging to massively improve image quality using AI. @AttarZiv and I are excited to have @insightpartners @PraveenAkkiraju and @JonahWaldman2 join us for the next phase of our growth!
GLASS Imaging@GlassImaging

Proud to see the incredible progress at @GlassImaging – $20M in new funding, led by @insightpartners , and the addition of @PraveenAkkiraju and @JonahWaldman to our board. Here’s to pushing the limits of what cameras can do!

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ML Collective
ML Collective@ml_collective·
Tomorrow at 10am PT we'll have our next MLC OpenClubHouse, our 25th 🎉! Stop by to hang out, catch up with friends, and chat about ML or anything else. We'll meet in the MLC Discord #openclubhouse channel: discord.gg/6Za9MBr4?event…
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