tokenbender @tokenbender
pretrain/RL/distributed training • eXperiments lab tokenbender.com Joined July 2014-
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we should be drawing how much actual economic impact these models have had so far on log scale. GDPval is nice but i think we also need to measure it's existing impact on society and not self congratulate in a vacuum. If we find that the bench scores go up in a straight line…
we should be drawing how much actual economic impact these models have had so far on log scale. GDPval is nice but i think we also need to measure it's existing impact on society and not self congratulate in a vacuum. If we find that the bench scores go up in a straight line…
nothing useful is happening here. this is the ai version of "hacker running for loops in terminal" cinematic scene. this is also why everyone competent hates the term agents when there are anecdotes and demos whose sole purpose is to collect impressions.
nothing useful is happening here. this is the ai version of "hacker running for loops in terminal" cinematic scene. this is also why everyone competent hates the term agents when there are anecdotes and demos whose sole purpose is to collect impressions.
my head is a noisy colorful space
my head is a noisy colorful space
And new paper out: Pleias 1.0: the First Family of Language Models Trained on Fully Open Data How we train an open everything model on a new pretraining environment with releasable data (Common Corpus) with an open source framework (@huggingface Nanotron)
I think @RichardSSutton is spiritually right, but offers non-constructively framed arguments (much like Yann). Here are some of my incompetent thoughts on the matter. 0) almost none of this is relevant to mundane economic and strategic questions. However ineptly and wastefully…
I think @RichardSSutton is spiritually right, but offers non-constructively framed arguments (much like Yann). Here are some of my incompetent thoughts on the matter. 0) almost none of this is relevant to mundane economic and strategic questions. However ineptly and wastefully… https://t.co/qyMUb0c2Oh
today, away from all the "thinky bros didn't do anything new" and "sutton 9/11", i would be spending all the time in just researching diversity and the methods people have come up with to constrain it for higher quality. would write up the lessons at the end and maybe sth more.
you either die as a hero or live long enough to agree with ga*y ma*cus
@EdSealing i'd love to see studies trading off model capacity with dynamic tokenization my bet is that you'll be wasting model params trying to learn these new "dynamic" relationships that don't map to composable structural information, or you'll sacrifice long-content performance, or both…
Agents suck at maintaining consistency over long tasks. Just try to port @browser_use to typescript using an agent and a single sentence with minimal input. We've had this as an eval for months. And now its almost a solved problem. Here's what happens when you try it:
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