Viewing profile — gbasin
gbasin
HN member- Joined
- Wed, Jan 08, 2014, 7:30 PM UTC
- HN karma
- 467
- Public activity
- 226 items
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About gbasin
Founder + investor — fintech
Recent public activity
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Comment #46966834
you're doing what now?
- story
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Comment #46540887
me too except codex writes the code and i only look at git diffs :/
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Comment #46540872
I don't believe that's true with 100% grass fed beef
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Comment #46147814
I still use this regularly :) thanks for building it. any interest in open sourcing? i can help
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Comment #43704667
I see, thanks. Seems just a matter of cost to reclaim it. Maybe regulation is needed
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Comment #43704315
pardon my ignorance, in what was does it "consume water"? water cooling is closed loop
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Comment #42878890
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)
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Comment #42353041
~210 calories
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Comment #42353037
yep i switched to taza
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Comment #42332493
i eat half a bar of it per day, amazing brain fuel
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Comment #42128347
yep it should be possible. check this out: https://terraformindustries.com/
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Comment #41787258
this was my main takeaway from 20th century philosophy lol
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Comment #41434399
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
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Comment #41425142
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 lega…
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Comment #41425099
This should not be down-voted
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Comment #41347115
For large models that are well-trained with large context support, ICL seems to work about as well as FT
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Comment #40223122
great comment
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Comment #39790775
what would it mean to plan ahead? decoding strategies like beam search are popular and effectively predict many words ahead
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Comment #39691376
Strictly for research purposes, what would some of these offshore sites be?
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Comment #39131205
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?
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Comment #38645758
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.
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Comment #37778560
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 proliferat…
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Comment #37239518
here's one, just google around for "how to access jhanas": https://www.lionsroar.com/entering-the-jhanas/#:~:text=If%20... .
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Comment #37226568
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 a…