jwillp

7 ms·

1.
by jwillp 9mo ago
I've been impressed by ollama running locally for my work, involving grouping short text snippets by semantic meaning, using embeddings, as well as summarization tasks. Depending on your needs, a local GPU can sometimes beat the cloud.
2.
by jwillp 10mo ago
The trick is to already know how to use regexes to make searching the manpages easier! But you really have to nail down the rules for escaping when you want to search for perl's gnarliest sigil magic.
3.
by jwillp 1y ago
Clearly the US needs a constitutional amendment to preserve the right to keep and bear AI tools. Then we can arm the victims of AI tools with their own AI tools, for self-defense. If we're lucky, AI will send its AI thoughts and AI p
4.
by jwillp 1y ago
The article is well-written and I even learned a few things. I'm glad for Nikhil's persistence troubleshooting it and fixing the bug upstream. Thanks, Nikhil!
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by jwillp 1y ago
Training computers on human stupidity has got to be infinitely scalable, by induction.
6.
by jwillp 1y ago
If only they passed the inverse law requiring gas and coal plants to buy renewable power to reduce their pollution impact. This raises the question, why should a power generator be required to purchase external power? Isn't that the jo
7.
by jwillp 2y ago
What is the minimum resident RAM size per individual active unique series? Or what's a typical RSS RAM size for 10 or 100 million unique active series? How does unlimited cardinality avoid RAM exhaustion in this version?
8.
by jwillp 10y ago
absolutely true. imagine porting a decade or more of code for only the promised benefit of a more "pure" language. asyncio is nice, but excluding it and enhanced generator syntax from 2.7+ is >policy<, not engineering. pyt
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by jwillp 10y ago
embed a cpython interpreter into the Go runtime as an embedded interpreter?
10.
by jwillp 10y ago
sorted() is widely used, adding will extend coverage considerably.