Maybe this needs to be an open source global grand challenge ? Ideally @deepmind & @IsomorphicLabs would also participate. Cc : @NIHDataScience @NIHDirector @NCIDirector @bertagnollimm @NCIDataSci @CRUKresearch @NCIKerlavage @demishassabis @ImranSHaque

Things that are not required to be a scientist: -Having a PhD -Publishing peer-reviewed papers -Getting paid to do research Things that do make you a scientist: -Using the scientific method to study stuff That's it, that's the whole list.

ze frank, first and best vlogger, had a concept called "brain crack" brain crack is that amazing idea you've been holding onto that you'll get to Later so you can Do It Right it addicts you bc the more you build it up the less likely you'll ever do it poast your brain crack!

For investors not wanting to wait for 100 clinical readouts from "techbio" companies, what are leading indicators about whether ML is making a dent in the biotech space? This was a question asked during the 'ROI for AI in Healthcare' panel at the TD Cowen conference last week.

We're launching ACHIRA, a newco DIMENSION cofounded alongside @jchodera & @tkaraletsos. We're building foundation simulation models for the smallest, atomic-level resolution units of the universe. Assembling here: https://t.co/LOoWMTe4UJ

NEW: Achira, a startup combining AI- and physics-based methods for drug discovery, launched Friday with a $33 million seed round I talked with co-founders @jchodera, @Tkaraletsos, and @zavaindar on their venture:

Announcing Pillar IV, our new $175M fund. Thank you to our founders, investors, and community. Science built the world we know. Investing in science is how we will build the world we want. Breakthrough to impact has never been faster. Pillar IV is here to accelerate it.

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Hey everyone! While I had a great on-site interview, I did not get the job of being @dwarkesh_sp ’s COO (He, very fairly, wanted someone further along in their career for this position). One thing I noticed during this process was the importance of having intensity, and how few

Scientific research supercharged by ml/ai, starting with literature survey and summary, qa

It took us about 9 months of exploration to build agents that can do superhuman scientific literature summary and Q&A. @m_skarlinski wrote up what failed and what was essential in an engineering blog post: https://t.co/MLdThGHmW5

@itsclivetime Certainly you could think about "speaking textures", or "speaking molecules", or etc. What I've seen though is that the word "language" is misleading people to think LLMs are restrained to text applications.

@karpathy on the other hand maybe everything that you can express autoregressively is a language and everything can be stretched out into a stream of tokens, so everything is language!

It's a bit sad and confusing that LLMs ("Large Language Models") have little to do with language; It's just historical. They are highly general purpose technology for statistical modeling of token streams. A better name would be Autoregressive Transformers or something. They

@praveen_chavali @observerforever @salgarkarap @satpal_patawat @mistrymm7 @nischalj10 @amritansh_champ @unnati9_patel @py_parrot 11/ My aim is to create the atmosphere of a world-class academic / industrial AI lab at Turing’s Dream. Second batch starts in November. In case you’re interested, apply here: https://t.co/TqBT26fh5H

@praveen_chavali @observerforever @salgarkarap @satpal_patawat @mistrymm7 6/ Nischal Jain - @nischalj10 is building open source autonomous web agents! My mind was blown when he just typed “subscribe to inverted passion blog” and saw agent Google the blog and fill the form and hit subscribe. He is open sourcing what these guys have closed source:

@praveen_chavali @observerforever 3/ Aaditya Salgarkar - @salgarkarap is a PhD in string theory (yes, really) who is interested in grokking vison transformers. Specifically, he is exploring how to model 3D data (like in videos) for denoising (in a geology related application).

Turing’s Dream first batch - who is in it and what they’re upto. 🧵

From

If you're choosing a major now, chemical engineering is the safest from AI with the highest starting salaries

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