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highfrequency

HN member
Joined
Mon, Jan 13, 2020, 6:38 PM UTC
HN karma
2,632
Public activity
453 items

About highfrequency

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Recent public activity

  1. comment
    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 #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…