Viewing profile — highfrequency
highfrequency
HN member- Joined
- Mon, Jan 13, 2020, 6:38 PM UTC
- HN karma
- 2,632
- Public activity
- 453 items
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About highfrequency
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Recent public activity
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Comment #49248604
Are you aware of her APOE3/APOE4 status?
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Comment #49186439
Curious what OP thinks about moving early stage trials overseas to Australia/China where regulatory pathways are less bureaucratic.
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Comment #49184448
Indeed - if access to data or the permission to act on that data is limited by human gatekeepers (individual or bureaucratic), intelligence is often not the primary bottleneck. OP …
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Comment #48867800
Weighting by population seems reasonable here!
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Comment #48833788
Copy paste out of tmux drives me nuts. Seems to work half the time. Interested in a good fix
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Comment #48787870
This is very insightful. I would be interested in reading an elaboration of your thoughts on this, particularly the role of BigCos and startups and the core nature of the problem i…
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Comment #48720563
Hyperscaler free cash flow chart is interesting, but why does it omit Apple?
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Comment #48709288
Seems natural enough. There will always be complexity and nuance that is missed by an AI model or person - the world is just super detailed. The more expertise you have the more yo…
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Comment #48693804
Did they at least rule out an easy prompt fix? "Stick to the spirit of the problem and don't cheat (eg reverse engineering the test cases or source code)"
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Comment #48675025
Why UK?
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Comment #48591655
> idea thief. Takes credit for others’ work. Based on what?
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Comment #48495191
Thanks, I appreciate the discussion. The paper you sent is interesting. I agree it looks like for moderate values of K (on the order of 100-1000), RL models actually look a little …
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Comment #48493973
I wish it were ok for companies to bluntly say: “we made these decisions for competitive reasons, but the public backlash outweighed that so we are reversing course.” I think it’s …
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Comment #48491751
Sure, but I'd say that moving desirable trajectories from very low probability to high probability is characteristic of genuine human learning and discovery. Technically, quantum g…
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Comment #48483716
The model’s distribution will certainly change from the base model’s output distribution during reinforcement learning, shifting toward outputs that score well on an external evalu…
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Comment #48481699
> RLVR still does not expand beyond the base distribution though, it only mode-seeks within it. Seems clearly false. Pretraining finds the mean/mode of the data distribution. RL ca…