galsapir

5 ms·

31.
by galsapir 6mo ago
Thanks! I'll check it out.
32.
Borges' cartographers and the tacit skill of reading LM output(galsapir.github.io)
40 points by galsapir 6mo ago|10 comments
33.
by galsapir 7mo ago
one of the most interesting pieces I've read recently. Not sure I agree with all the statements there (e.g. without execution the system has no comprehension) - but extremely cool
34.
Best read of 2026 so far was written in 1880(galsapir.github.io)
1 points by galsapir 7mo ago|1 comments
35.
by galsapir 7mo ago
The part that made me laugh out loud: Dostoyevsky's description of medicine becoming "too specialized" — one doctor for the right nostril and another for the left. That's from a conversation between Ivan and the devil. W
36.
Anthropic launched community ambassador program(claude.com)
1 points by galsapir 7mo ago|0 comments
37.
by galsapir 7mo ago
nice, esp. liked - "our memories, our thoughts, our designs should outlive the software we used to create them"
38.
LLMs as nudging research towards luke-warm middle(nature.com)
1 points by galsapir 8mo ago|0 comments
39.
by galsapir 8mo ago
this seems interesting, do you have an example of a use case that you found it helped with? (Red green pattern where without RUNE, it failed)?
40.
by galsapir 8mo ago
I've been writing about how I use AI tools as an researcher working in health AI — specifically the tension between leveraging them and staying engaged enough to catch when they're wrong. This post is about a specific version of t
41.
by galsapir 8mo ago
haha nice for freelance work!
42.
by galsapir 8mo ago
opus 4.6 came out yesterday so I tried it and built two things. i think the model is smoother: picks up intent faster, better questions in interview-style flows, more willing to loop for 8+ minutes. the tools: an interview command for claud
43.
by galsapir 8mo ago
There's been a lot of discussion around this lately, especially after the Anthropic study. I don't have answers — this is more an attempt to articulate the problem and some mental frameworks that have been useful. Curious what pra
44.
by galsapir 9mo ago
we spent a few months building evals for a health agent (and the agent itself!). tried to apply anthropic's framework to a real system looking at CGM data + diet. some of it worked. we got decent at checking form — citations exist, too
45.
How do you evaluate a foundation model before you know what it's for?(galsapir.github.io)
1 points by galsapir 9mo ago|1 comments
46.
by galsapir 9mo ago
foundation models in biology still haven't proven they're worth it vs simpler methods (imo). we just published one in Nature, and i feel i spent more time on "how will we know this worked" than on the model itself. the h
47.
Ask HN: Anyone using Claude Agent SDK in production?
1 points by galsapir 9mo ago|1 comments
48.
by galsapir 9mo ago
i honestly dont think there's a simple y/n answer there - i think considerations include mostly like 'how costly it is to do so', 'how often do you think you'll need it', and so on. traces are not as &quo
49.
Data Activation Thoughts(galsapir.github.io)
21 points by galsapir 9mo ago|5 comments