Tim Kostolansky reposted
Tim Kostolansky
Tim Kostolansky
@kostolans.ky
prev @ mit.edu, lasrlabs.org, workshoplabs.ai, primeintellect.ai more @ kostolans.ky
69 followers287 following172 posts
Tim Kostolansky reposted
This is a great idea: "Old Models Foundation is a U.S. 501(c)(3) public charity, and we’re now accepting donations. Help preserve generative AI history and keep the archive accessible." www.oldmodels.org/sandbox
Tim Kostolansky reposted
Tim Kostolansky reposted
Tim Kostolansky reposted
Tim Kostolansky reposted
the space of intelligences is large, and so there exist smart minds that won’t seek power and equally smart minds that will seek power
if Grigori Perelman is so smart, the only human to have solved a Millenium Prize problem, why isn't he also super power-seeking? that's not a rhetorical, my planet depends on the answer
Tim Kostolansky reposted
Tim Kostolansky reposted
Tim Kostolansky reposted
Tim Kostolansky reposted
Tim Kostolansky reposted
Tim Kostolansky reposted
keep your data to yourself, cus you deserve to! 💪 we made the first multi-gpu post-training stack that is private -- it actually keeps your data untouchable by anyone but you in all stages of the process. 🗝️ take a look at how we did it, in collab w/ tinfoil.sh: www.workshoplabs.ai/blog/private...
Tim Kostolansky reposted
Tim Kostolansky reposted
now u yes u dear reader 🫵 can train kimi k2 thinking on ur own infra! www.workshoplabs.ai/blog/post-tr...
yes it’s 50x faster than this guy now bsky.app/profile/thko...
Want to finetune the largest open source frontier language models? Turns out you can't! So much for "open" source... But fear not, we (workshoplabs.ai) figured out how to finetune Kimi K2, so you don't have to. Peep our blog below to see how we did it :) www.workshoplabs.ai/blog/open-we...
Tim Kostolansky reposted
The big problem is that science often doesn't have the advice people WANT. Like, weight loss isn't much more complicated than calories in/calories out. Sometimes you get lucky/unlucky but vaccines still work at the population level. etc. individual papers aren't meant to draw conclusions from, etc.
There's a tremendous hunger for advice based on science, a void that gets filled naturally by demagogues, grifters, and liars who have more time than serious scientists. Not sure what the solution here is
Tim Kostolansky reposted
Want to finetune the largest open source frontier language models? Turns out you can't! So much for "open" source... But fear not, we (workshoplabs.ai) figured out how to finetune Kimi K2, so you don't have to. Peep our blog below to see how we did it :) www.workshoplabs.ai/blog/open-we...
Tim Kostolansky reposted
Tim Kostolansky reposted
Tim Kostolansky reposted
Just over 10 years ago: Dario Amodei, Elon Musk, Demis Hassabis, Yann LeCun, Geoff Hinton, Richard Sutton, and others sign an open letter supporting a ban on the use of AI for autonomous weapons. futureoflife.org/open-letter/...
Tim Kostolansky reposted
LLMs getting much better at pushing back against bullshit prompts. “Green means the model clearly called out the nonsense. Amber means partial challenge. Red means the model let nonsense pass” github.com/petergpt/bul...
Tim Kostolansky reposted
Tim Kostolansky reposted
Tim Kostolansky reposted
pretty cool work by natalie and co. i think that its great to treat models as things to actively/dynamically/iteratively test, as its ~impossible to touch the surface area of model deployments with internal testing! sharing some thoughts below
Are we all Agents of Chaos in AI? (Hope not!) In recent weeks using OpenClaw has taught us a lot about this wooly new kind of autonomous software agent. Its valuable to see what @NatalieShapira, @wendlerch et al. have seen: agentsofchaos.baulab.info/
finally: i now see the use case for companies like x.com/apolloaievals/ and am more interested in evals by the day myself!
pretty cool work by natalie and co. i think that its great to treat models as things to actively/dynamically/iteratively test, as its ~impossible to touch the surface area of model deployments with internal testing! sharing some thoughts below
Are we all Agents of Chaos in AI? (Hope not!) In recent weeks using OpenClaw has taught us a lot about this wooly new kind of autonomous software agent. Its valuable to see what @NatalieShapira, @wendlerch et al. have seen: agentsofchaos.baulab.info/
pretty cool work by natalie and co. i think that its great to treat models as things to actively/dynamically/iteratively test, as its ~impossible to touch the surface area of model deployments with internal testing! sharing some thoughts below
Are we all Agents of Chaos in AI? (Hope not!) In recent weeks using OpenClaw has taught us a lot about this wooly new kind of autonomous software agent. Its valuable to see what @NatalieShapira, @wendlerch et al. have seen: agentsofchaos.baulab.info/