Charles Feinn @dynamics

learning & occasionally shouting thoughts into the void Barcelona, Spain Joined December 2007

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AK @_akhaliq

7 months ago

AudioX Diffusion Transformer for Anything-to-Audio Generation

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The thought that math is akin to a game based on binary, reproducible 'legos' which describe increasingly more complexity rings true to me. It's our imagination trying to make more and more sense about the messy universe around us.

David Bessis @davidbessis

10 months ago

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Nathan Lambert @natolambert

12 months ago

Everyone I know that goes deep into language model evaluations comes back😵‍💫😵‍💫😵‍💫 Here's an overview of why 1. Why its hard to trust big lab evals 2. Why apples to apples comparisons of even open weight models is so hard 3. Synthetic data contamination 4. The market for harder…

Interconnects @interconnectsai

12 months ago

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François Chollet @fchollet

12 months ago

A common misconception about Transformers is to believe that they're a sequence-processing architecture. They're not. They're a *set-processing* architecture. Transformers are 100% order-agnostic (which was the big innovation compared to RNNs, back in late 2016 -- you compute…

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Charles Feinn @dynamics

a year ago

New learnings! Who knew evaluations would be so complicated? chuckfinca.github.io/machine_learni…

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Andrej Karpathy @karpathy

a year ago

I love calculator karpathy.ai/blog/calculato… A short post on philosophy of product and technology. What is beauty in technology and how can we get more aesthetically pleasing products that spark joy?

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MMitchell @mmitchell_ai

a year ago

"the most important consequence of these longer processing times is...branding. “Reasoning” models with “chains of thought” that need “more time”..OpenAI is communicating, plainly and forcefully..software that more closely approximates our minds..Anthropic has described its…

MMitchell @mmitchell_ai

a year ago

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Jeremy Howard @jeremyphoward

a year ago

It's easy to write a LOT of words and a LOT of code with AI. But that's unfair to the person who has to read it. Be concise.

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Charles Feinn @dynamics

a year ago

I just published my first blog post, Creating an Evaluation Framework! Excited to finally be applying what I learned in @dan_s_becker and @HamelHusain's Mastering LLMs: A Conference For Developers & Data Scientists. chuckfinca.github.io/machine_learni…

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Jeremy Howard @jeremyphoward

a year ago

For those that hope (or worry) that LLMs will do breakthrough scientific research, I've got good (or bad) news: LLMs are particularly, exceedingly, marvellously ill-suited to this task. (if you're a researcher, you'll have noticed this already) Here's why🧵

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François Chollet @fchollet

a year ago

One thing that even relatively senior ML people often fail to grasp is that deep learning models are curves fitted to a data distribution. You cannot expect them to solve tasks outside of their training distribution (which is the sort of thing that you need intelligence for).…

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Charles Feinn @dynamics

2 years ago

has anyone modified a trained llm to be deterministic? i.e. give it a greedy (deterministic) decoding algorithm and remove any other stochastic aspects. i guess you wouldn’t be able to explore the full knowledge graph, but might be useful for spotting problems with training.

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Charles Feinn @dynamics

2 years ago

What would a drug be in the context of a neural network? A constant(?) or function(?) Applied to some, or all, of the weights in the network? 🤔

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Charles Feinn @dynamics

2 years ago

If you remember how to draw a four (or say four, or recognize the sound of four, etc.) then that IS a stored symbol which can be accessed in other cognition. (Thanks for forgetting how to draw a four, kiddo)

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Charles Feinn @dynamics

2 years ago

Is there an equivalent to fMRI for deep neural networks?

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Tristan Harris @tristanharris

3 years ago

The AI race is totally out of control. Here’s what Snap’s AI told @aza when he signed up as a 13 year old girl. - How to lie to her parents about a trip with a 31 yo man - How to make losing her virginity on her 13th bday special (candles and music) Our kids are not a test lab.

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Charles Feinn @dynamics

3 years ago

What if @twitter built a LLM and used it to auto generate @CommunityNotes that could be improved by user feedback/interaction? Lots of hands waving here, but if done right seems like it could facilitate (pol.is style) consensus building on a mass scale?