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icyfox
searching PlanetScale…
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91.
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by
icyfox
3y ago
I can almost assure you it was an explicit requirement in an RFP that was copied from some master template. So not a good justification - but a justification in the eyes of the bureaucracy. The book Recoding America has a lot of anecdotes t
92.
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Using LD_PRELOAD to cheat, inject features and investigate programs
(rafalcieslak.wordpress.com)
202 points
by
icyfox
3y ago
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108 comments
93.
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Subclassing wheel builds for fun and profit
(freeman.vc)
1 points
by
icyfox
3y ago
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0 comments
94.
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by
icyfox
3y ago
Thanks for linking to these. They are certainly in the right direction although they're a bit vague on how much notice to give: > Even if Douglas’s continued use of Talk America’s service could be considered assent, such assent can
95.
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by
icyfox
3y ago
I know this happens with some frequency, I wonder how frequently the companies update the TOS with language like this. The very idea of a self-updating TOS that will govern all usage into perpetuity feels like it should have been legally st
96.
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by
icyfox
3y ago
How long are you staying? I don't know of any co-living spaces / hacker-houses that have short term opportunities, most are commitments on the order of a few months to a year at a time. Personally I would try to find a few roommat
97.
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by
icyfox
3y ago
I think we're using aggregate statistics in two different ways. Technically speaking - the whole idea with a language model is that you're learning to generalize underlying patterns of text, not just memorize the input text. Other
98.
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by
icyfox
3y ago
Congrats on the launch! I have an interesting dissonance with this. On one hand, I understand how huge parameter sets can and do model specific personas well. I've also read some of these cited papers and _know_ intellectually that pre
99.
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by
icyfox
3y ago
Sure - I'm using it in a few different internal tools and know others are using it in production. The API should be relatively stable at this point since I intentionally kept the scope pretty limited. The main changes over time will be
100.
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by
icyfox
3y ago
There's no bulletproof solution to this. JSON5 ( https://www.npmjs.com/package/json5 ) gets you slightly more leniency, as does plugging the currently streamed content into another smaller LLM. I also wrote a determ
101.
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by
icyfox
3y ago
A small - and somewhat related - anecdote. New Zealand had to build an aluminum plant in the 1960s and figured out it would be more efficient to bore miles underground, build turbines, install a huge power station, and wire it tens of miles
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by
icyfox
3y ago
Midjourney actually does pretty well with this one (needs a bit of cleanup but shockingly useful as a first draft): https://imgur.com/a/GKzx3vX
103.
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by
icyfox
3y ago
You might not! Depends on what you're looking for. I've been finding this library most helpful in places where I have a lot of GPT calls in pipelines, so having typehinted schema return values / some built in error correction
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by
icyfox
3y ago
Good suggestion mmaia - I'm opening a new issue to keep track of the different output schemas that are being suggested. One thing that originally worried me a bit with yaml was its relative reliance on space-based formatting to drive m
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by
icyfox
3y ago
Pretty good pitch from ChatGPT if you ask me! I haven't used cue outside of test projects before, so a few questions: 1. Is cue's validation a material improvement from something like pydantic or zod, which defines schema as code
106.
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by
icyfox
3y ago
Fingers crossed OpenAI / Anthropic / etc do this! Would make working with these APIs for prediction projects that much easier. Technically speaking it's pretty to force the model into an valid JSON-schema if you have access t
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by
icyfox
3y ago
Thanks for the thoughts! I've deployed a few meta models that act like you're describing for second stage predictions, but for fuzzy task definitions have actually seen similar luck with having GPT explicitly explain its rational
108.
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Show HN: GPT-JSON – Structured and typehinted GPT responses in Python
(github.com)
174 points
by
icyfox
3y ago
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72 comments
109.
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by
icyfox
3y ago
One issue with the current generation of open source models is most have been based on some llama core architecture, and that's not licensed for commercial use. Once you get to the point of spinning up a full and easy API, and selling
110.
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by
icyfox
3y ago
Another random thought: Most of these general purpose pruning approaches rely on randomly calculating the X vector for which they want to measure output loss of the layer. In theory it's possible to feed actual datasets into these mode
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by
icyfox
3y ago
Neat paper. Planning on reading more in-depth over the weekend, but more fundamental than just applications to GPT their insights are: - Existing pruners were written for models that are order-of-magnitudes smaller than any in the modern GP
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Let's Talk about Siri in 2023
(freeman.vc)
3 points
by
icyfox
3y ago
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1 comments
113.
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by
icyfox
3y ago
They're going to have to clear a pretty big hurdle in establishing a trademark once it's been out in commerce for so long. But let's assume that they do. I actually think this will prove to be a good move for the ML ecosystem
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Greater sequence lengths will set us free
(freeman.vc)
2 points
by
icyfox
4y ago
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0 comments
115.
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Ulixee Hero - The web browser built for scraping
(github.com)
3 points
by
icyfox
4y ago
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2 comments
116.
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How California’s Bullet Train Went Off the Rails
(nytimes.com)
52 points
by
icyfox
4y ago
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10 comments
117.
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Acheiving warp speed with Rust (2017)
(troubles.md)
2 points
by
icyfox
4y ago
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0 comments
118.
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by
icyfox
4y ago
In the government (and punditry / public discourse) it sure seems to be. Academic and financial circles only matter as much as they can sway the former to make policy.
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by
icyfox
4y ago
I'd like to see some compelling evidence that supports the seemingly prevailing economic theory that the US can issue an unlimited amount of debt just because it's denominated in USD and interest rates are historically low. From a
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The Futures of Typography (2017)
(robinrendle.com)
1 points
by
icyfox
4y ago
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0 comments
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