masterjack

Joined 12 years ago

Karma
237
Submissions
66
Member since
Jun 5
Jack of all trades, master of some. Full-stack ranging from assembly to react to machine learning
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Recent submissions

Comment · 1 year ago
> Please explain in your own words why you believe this is not the case.

It wasn’t 2023: Last post 11 months ago, last comment 8 months ago, which is a typical level of lurking

Comment · 1 year ago
I thought they were projecting 10B and said a few months ago they have already grown from a 1B to 4B run rate
Comment · 1 year ago
Remarkably there’s really just one way to tie them together, you can always manipulate the knot to move between the different variants
Comment · 1 year ago
13/183=0.071 so how can it be 20pct for this round??
Comment · 1 year ago
I may agree if it was a 20% dilution round, but not if they are increasing from 3% to 7% dilution. Being so massively oversubscribed is a bullish sign, bad companies would be struggling to fill out their round.
Comment · 1 year ago
It will typically be the same 40 GB model loaded in, but called with many different inputs simultaneously
Comment · 1 year ago
Yes, you can `print axioms` to make sure no axioms were added, make sure it compiles with no warnings or errors. There’s also a SafeVerify utility that checks more thoroughly and catches some tricks that RL systems have found
Comment · 1 year ago
It’s possible that in the Google deal you had to agree to sell back the shares (at a low value like par or original strike price) and the 1% refers to either those proceeds or the size of the Google employment package. If you didn’t agree then you would be left holding your shares of a company that is now gutted.
Comment · 1 year ago
Comment · 1 year ago
Exactly. And presumably had a more sophisticated harness around the model, longer reasoning chains, best of N, self judging, etc
Comment · 1 year ago
Have you found https://sugaku.net/ useful? It’s focused on math research

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