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frontierkodiak

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frontierkodiak
·17 gün önce·discuss
Maybe not 10x; but it's fantastically talented at intuiting intent, reconstructing contexts, and making aligned judgement calls. You could throw Fable utter garbage and get great results. Fable felt like it was modeling me whereas gpt-5.5 is still very much is riding your prompt, your inputs. I have bit of humility here as this is basically how I felt about 5.4->5.5; but 5.4 was very much a scalpel-very spiky weird intelligence. 5.5 sits somewhere in-between, but still spiky and verbose- code-maxxed; not a great orator, not a good proactive "here's the skip-connection you probably should be thinking about but don't seem to be weighing" in the way that Fable is. Fable is crisp.
frontierkodiak
·2 ay önce·discuss
At 6x the cost of its predecessor!
frontierkodiak
·3 ay önce·discuss
Apologies; I do not mean to imply any affiliation.
frontierkodiak
·3 ay önce·discuss
See my other comment in this thread! I've got you covered; launching open models in ~1month. Happy to answer any questions!
frontierkodiak
·3 ay önce·discuss
Hey, good news! Pollination ecologist + ML guy here; with open models coming soon.

You can keep an eye on (gh) polli-labs/linnaeus (a bit stale; I'll rebase on my private repo later tonight-). There's some cool ideas in here to exploit the structure of taxonomic hierarchies to help the model approach recognition how a professional taxonomist might.. so working from coarse to fine, taxonomy-guided label smoothing (distributing alpha mass by taxonomic distance)..and (forthcoming) RL on expert consensus to teach abstention (if an expert could only identify a specimen to genus for some set of inputs; then our model should abstain from a species classification for the same inputs). Unfortunately I am very, very compute-constrained- but shooting for late April/first week of May for insect + flowering plant models. (Other taxa will come later; probably as unified model). I'm working on camera-based (automated) ecological monitoring systems for ~6yrs at this point; it's a really fun problem space! dropped out of grad school to go all-in on automating my favorite job I ever had (pollination ecology field research..watching flowers for visitations!); since I knew I'd always be a mediocre ecologist- but an engineer that happens to care about ecology could be very very valuable to my field.

a taxa recognition model turns out to be only a small piece of the system you need to extract structured observational data from cameras in the field :-) Working with one of my partners right now to launch a really cool demo of what's possible these days- Texas folks especially; keep an eye out on wildflower.org around May 1!

I'll spill more ink soon but (anyone) please get in touch if you find these things interesting. Or if you'd like to help me out with compute/expenses!
frontierkodiak
·10 ay önce·discuss
Rip2 is another useful alternative: https://github.com/MilesCranmer/rip2

I have a small wrapper around rip2, aliased to `recycle`; files go to a `graveyard` zfs dataset. I deny `rm` usage for agents, a simple (global) instruction pointing to recycle seems to do the trick for Claude.

Seems like a quick win to remove some downside risk and make me a bit more comfortable letting agents run wild in local workspaces.