gbasin

6 ms·

1. 1.▲
   by gbasin 7mo ago

   you're doing what now?
2. 2.▲
   Show HN: Mobile-friendly web wrapper around tmux, optimized for agent TUIs(github.com)

   3 points by gbasin 8mo ago|0 comments
3. 3.▲
   by gbasin 8mo ago

   me too except codex writes the code and i only look at git diffs :/
4. 4.▲
   by gbasin 8mo ago

   I don't believe that's true with 100% grass fed beef
5. 5.▲
   by gbasin 10mo ago

   I still use this regularly :) thanks for building it. any interest in open sourcing? i can help
6. 6.▲
   by gbasin 1y ago

   I see, thanks. Seems just a matter of cost to reclaim it. Maybe regulation is needed
7. 7.▲
   by gbasin 1y ago

   pardon my ignorance, in what was does it "consume water"? water cooling is closed loop
8. 8.▲
   by gbasin 2y ago

   the main bottleneck will be model depth... you can only do so much with N layers, and recurrence has proven to be way less efficient (for now)
9. 9.▲
   by gbasin 2y ago

   ~210 calories
10. 10.▲
    by gbasin 2y ago

    yep i switched to taza
11. 11.▲
    by gbasin 2y ago

    i eat half a bar of it per day, amazing brain fuel
12. 12.▲
    by gbasin 2y ago

    yep it should be possible. check this out: https://terraformindustries.com/
13. 13.▲
    by gbasin 2y ago

    this was my main takeaway from 20th century philosophy lol
14. 14.▲
    by gbasin 2y ago

    Yes I was specifically thinking of the latter with larger models, I think many many shot ICL still tends to outperform but you're right it's worth trying both for your use case
15. 15.▲
    by gbasin 2y ago

    I am building in the mortgage origination space and have these sorts of enhancements on the drawing board... you hit the nail on the head that the bottleneck will be in QC and legal review, as 3rd-parties (especially regulators) may want to
16. 16.▲
    by gbasin 2y ago

    This should not be down-voted
17. 17.▲
    by gbasin 2y ago

    For large models that are well-trained with large context support, ICL seems to work about as well as FT
18. 18.▲
    by gbasin 2y ago

    great comment
19. 19.▲
    by gbasin 2y ago

    what would it mean to plan ahead? decoding strategies like beam search are popular and effectively predict many words ahead
20. 20.▲
    by gbasin 3y ago

    Strictly for research purposes, what would some of these offshore sites be?
21. 21.▲
    by gbasin 3y ago

    Today's revenue is not tomorrow's, and companies are valued based off of the future. Where did Amazon's revenue come from (and still primarily, afaik) for most of its life?
22. 22.▲
    by gbasin 3y ago

    Your conclusion may be true but your examples aren't. You can definitely predict the stock market based on past prices, and I suspect you can with weather as well.
23. 23.▲
    by gbasin 3y ago

    TikTok's success is primarily about the creator tools, not the viewing experience. Making video editing mobile-friendly and accessible to more people is what enabled the proliferation of short-form content.
24. 24.▲
    by gbasin 3y ago

    here's one, just google around for "how to access jhanas": https://www.lionsroar.com/entering-the-jhanas/#:~:text=If%20... .
25. 25.▲
    by gbasin 3y ago

    Jhanas are achieved a particular way and should be readily accessible once your concentration is strong enough (yours likely is). You may have not experienced them if you haven't accidentally pulled the right levers, so to speak. There
26. 26.▲
    by gbasin 3y ago

    Yes, insofar as awareness of it may influence your own behavior which gives it some predictive power
27. 27.▲
    by gbasin 3y ago

    and it's probably not the one you think
28. 28.▲
    by gbasin 3y ago

    the primary cost would be the OpenAI GPT-3.5-turbo API, which is ~ $0.002 per 1k tokens
29. 29.▲
    LMDB: A database powered by language models(github.com)

    4 points by gbasin 3y ago|1 comments
30. 30.▲
    by gbasin 3y ago

    it's not... it's competing in the market for profits. citadel makes plenty of money from trading, separate from fee-based business