porridgeraisin

Joined 3 years ago

Karma
2,981
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1,658
Member since
Mar 26
Systems Engg, Reinforcement Learning, Bespoke RISC-V, Linux, Webtech enjoyer, Music, Chess, Cricket, Football, Swimming, India.

Currently academia

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Recent submissions

Comment · 2 days ago
> making it more of a fluff/marketing piece than an actually interesting technical blog in this area.

/genuine do you recommend any other blog?

Comment · 3 days ago
> you need not only the pocket

Hmm.. I think it's my terminology issue. I just meant pocket as in informal word for "subspace", that is, generators can learn to generate good candidates within some subspace without needing to be good classifiers across the whole space.

But yeah as a whole that makes sense, thanks.

Comment · 3 days ago
My reading of the hypothesis is this, interested in your thoughts:

> unless you can create a magical classifier

A generator could concentrate on pockets while remaining unable to judge most drugs. And LLM RLVR a) works well, and b) is black box optimisation and so is suited since it doesn't need system identification (which you can't do for complex biological systems). So the hypothesis is that, yes making a classifier is very very hard, but you could through some (lots?) initial interactive data, end up with our generator outputting with high probability drugs-that-end-up-passing-trials-with-probability-p. Whether these drugs thus generated are drugs we care about (i.e, whether `p` is good enough) and whether the whole pocket it generates in is large enough, and how jagged this behaviour is (i.e distribution of `p` across taxonomies of drugs), are the few questions we want answered.

Comment · 4 days ago
You're right. I think I remember those numbers from an Air vs 3xxH comparison.
Comment · 4 days ago
An example of this is that it expands the solution space to many things. At a minimum, many tedious things are no longer tedious. Selectively making use of this "tedium-canceler" in the right places is a skill and it can be a differentiator between people.
Comment · 4 days ago
In usual developer type tasks, among my friend group what I hear is that panther lake laptops are competitive with M4 laptops. But, M4s do that with a 55Wh battery, whereas most panther lake laptops come with a 70Wh battery. So if you're discussing chip performance per watt then it's probably an edge to apple silicon.
Comment · 4 days ago
This just seems like it's overfit to their RL environment, conditioned on the rather specific prompt they gave. Dressing it up this way feels like a marketing article for, probably, their sovereign AI product.

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