Soham @sohamg121
Research Scientist @MistralAI on multimodal/audio LLMs. Previously: @GoogleDeepMind MS @CarnegieMellon sohamghosh121.github.io Mountain View, CA Joined August 2013-
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@deedydas I don't get the issue. Is your problem the large scale organized nature of it, or the fact that people chill for a bit after promo instead of burning out? Those who don't want to play the corporate ladder game can move out if they want.
@alankarjain91 Honestly? You are absolutely right. And that's the smoking gun.
wtf does this even mean. many tokens but nothing of substance said
At the core of our mission is working through how to ensure increasingly powerful AI benefits everyone. We believe that, at some point in the future, AI acceleration for frontier model development may be so high that the world will need to pace the rate of AI advancement. We
@giffmana @Mononofu @JensenHuang @DarioAmodei literally called out this difference in an interview AFAIR
@Mononofu @JensenHuang This is a false equivalence. Everyone has the right to keep their code private. The problem is when someone tries to stop OTHERS from open sourcing.
@willcb making all knowledge in the world in-distribution is the only way
@rsalakhu @docmilanfar I had the chance to be advised by you for a semester while working with Emilio - to me the one meeting we used to do per week was indormation-dense and directional enough. Never felt like I was on my own, and the independence you provided was much appreciated.
1. you are extrapolating anecdotal evidence to a general statement, nearly all of my CMU batchmates continue to live in the US 2. what is your actual point? pre-determine if people will stay back after education in the US (or legally oblige them to)? how? 3. education is also about exchange of ideas and experiences regardless of what people choose to next, closing off borders only leads to in-bred ideas/values
Language models and coding agents are great, but there is more to life, and more to AI, than just LLM agents.
a few months after joining @MistralAI’s board in ‘23, the founders invited me to talk at their all hands ‘why did you invest?’ one of them asked ‘the mission’ i replied over time, it will become clear why this is their biggest moat
@_aidan_clark_ if you don't understand how good this is I don't trust your taste open.spotify.com/track/0oks4Fnz…
Correct me if I'm wrong, but isn't this really just showing: *In a trained autoregressive network, there is a subspace of internal activations that is especially aligned with future verbal output and downstream computation.* Isn't this expected given how LLMs are trained? In fact, I suspect you could find this is many other task-optimized architectures, not just Transformers/Claude—it would be good to try this on RNNs, MLPs, CNNs, etc.
New Anthropic research: A global workspace in language models. Of everything happening in your brain right now, only a tiny fraction is consciously accessible—thoughts you can describe, hold in mind, and reason with. We found a strikingly similar divide inside Claude.
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