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

become an animist and never again worry about whether the machines are thinking. so are the trees? the machines can help us make better websites though

Tim Kostolansky reposted

Replying to @alexcbecker.net

i'm sure we could get it to come up with conjectures that *would* be interesting. but interesting is at least in part a social property!

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

tachikoma@tachikoma.elsewhereunbound.com

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

How it feels to be worried about both

Dashiell@dashiells.bsky.social

AI safety folks should be way more worried about concentration of power than the proliferation of powerful models

Tim Kostolansky reposted

Replying to @gracekind.net

> show us how good you are at exploits > no, not like that

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...

workshoplabs.aiPrivate Post-Training and Inference for Frontier ModelsA technical deep dive of Silo, our local-like privacy stack for cloud-based training and inference of trillion-parameter models.

Tim Kostolansky reposted

The increasingly-hyperbolic METR graph is actually good news for safety. We just have to survive a brief singularity in March, and then afterwards the models will never be able to do more than undo a few hours' worth of work

yes it’s 50x faster than this guy now bsky.app/profile/thko...

Tim Kostolansky@kostolans.ky

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.

Eugene Vinitsky 🍒@eugenevinitsky.bsky.social

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

really interesting to see their framing of "big tech" (with its connotations) next to "big ai" (which ive not seen as a term before)

Dr Abeba Birhane@abeba.blacksky.app

it scares me to think that big tech/big AI's primary target demographic is kids

Tim Kostolansky reposted

The AI discourse sometimes seems to center on "Is AI good or is it bad?" I find this framing unproductive. AI is not a fixed thing. I would prefer to ask "How might we use this technology for good, and mitigate the bad?" What a shame if the best use we can come up with is no use at all.

Tim Kostolansky reposted

claiming that u “priced it in” is just post hoc rationalization unless u have cold hard proof of the causal trace that u made predictions off of from before it happened

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

David Bau@davidbau.bsky.social

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/

View full thread

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

David Bau@davidbau.bsky.social

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/

View full thread

probing and defining the true edges of what models are capable of, instead of implicitly treating them like eg humans, is useful for figuring out what they are and how to treat them

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

David Bau@davidbau.bsky.social

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/