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youngprogrammer

HN member
Joined
Sat, Jan 17, 2015, 5:32 PM UTC
HN karma
249
Public activity
59 items

About youngprogrammer

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Recent public activity

  1. comment
    Comment #48601795

    At a 3 minute shot, I’d rather use the same time to do a pour over

  2. comment
    Comment #48306149

    You might as well play "who can memorize the most openings and lines"

  3. comment
    Comment #48288193

    It can get complicated quickly if you're actually using it in a production system. At my prev enterprise saas company we had feature flags that could be turned on per customer / pe…

  4. comment
    Comment #48043528

    this is essentially how bindcraft works for drug discovery: https://www.nature.com/articles/s41586-025-09429-6 (minus the accumulation step) feedback from af2 folding confidence + …

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    Comment #47830299

    Fish sauce is delicious but had to stop using it since it's high in histamine (gives me a stuffy nose) and potentially carcinogenic due to its high levels of nitrosamines

  6. comment
    Comment #47448290

    industrialized overfitting is basically what ML researchers do

  7. comment
    Comment #47131948

    should go a bit earlier with word2vec, NMT, seq2seq, attention, self attention

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    Comment #38660855

    Little late to this thread but from my list: LLM (foundational papers) * Attention is all you need - transformers + self attention * BERT - first masked LM using transformers + sel…

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    Comment #29735226

    It seems like most of these imperceptible changes could be addressed by something like ascii folding ( https://www.elastic.co/guide/en/elasticsearch/reference/curr... ) but this mi…

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    Comment #24267285

    They probably didn't have a Gantt chart to help them figure out the dependencies to properly plan it on their roadmap

  12. comment
    Comment #22791368

    You could do something similar to how they trained a ML model to find antibiotics compounds: https://www.cell.com/action/showPdf?pii=S0092-8674%2820%2930... . First, train a deep l…

  13. comment
    Comment #22548291

    Anecdote: Our caterer in silicon valley said there was a supply issue for tofu.

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  18. comment
    Comment #15003289

    This is nothing like the sharpshooter fallacy. The analysis determined the average performance of the analysts with >100 stocks rated and 10 analysts out of 16 did better than the …

  19. comment
    Comment #15001861

    How do you measure top ten if you don't have a ranking system?

  20. comment
    Comment #15001860

    Top 10 performers out of 16 or so analysts in the analysis is not survivor bias.

  21. comment
    Comment #15001857

    Outliers were removed to get a better measure of the "accuracy" of the price targets. 10 day windows were used to reduce the amount of volatility/noise in a time frame Return horiz…

  22. comment
    Comment #14999767

    I will agree that the methodology is not as rigorous as it could be but where can you prove it is "wrong"? My blogpost shows that stock price predictions also show a terrible track…

  23. comment
    Comment #14999077

    I probably should have included the outliers when analyzing overall performance but if I recall correctly they did not have a significant effect. The top analysts were determined b…

  24. comment
    Comment #14998807

    You're correct that I should have accounted for outliers when measuring performance of this strategy. If I recall correctly, even with the outliers, they did not significantly affe…

  25. comment
    Comment #14998692

    Hey Matthew, thanks for running your website! It was very helpful for obtaining the data I needed for my blogpost.