Leading research at @arcee_ai | Formerly Data Research Lead @DbrxMosaicAI | Visiting Researcher @meta | Ph.D | #TXSTFOOTBALL fan | https://xitter.cf/t.co/4G6Jf3b0V4

Redwood City, CA
Joined August 2011
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Reporting a problem in the company's shared Agent memory files repo Call that a skill issue
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I don't have a problem with Corweave buying wandb, but I'm never going to call it Forge just like I'm never calling this place x.com
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Georgia football driving sim
"open world football game" what the fuck do you mean what the fuck are we doing
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Replying to @kalomaze
the one after Caffe
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Replying to @zstcsz
can you link it 🙏
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Cody Blakeney retweeted
the internet didn’t implode so now I still have to go to work. thanks for nothing
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Replying to @HououinTyouma
The poor engineering students do
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Replying to @cthorrez
That being true doesn’t make me feel less old.
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Replying to @xeophon @_vatsadev
Or you start a heavy drinker and open up the data. Hard to say.
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Cody Blakeney retweeted
beggin @arcee_ai to drop a nemotron-3.5-super-shaped coding agent RL-ed to death inside prime-agent. just a little something for the gpu poor out there.
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Yes, but the better question is why. Is it good and a product of squeezing our performance or an unintended artifact of some training stage.
Replying to @thomashikaru
Our hypothesis: LLMs have a pressure for information density, leading to compressed language, novel ngrams, and a preference for short alternatives in linguistic alternations, even when this is not humanlike - humans have a pressure for successful communication with other humans
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Replying to @ConjecTech
Depends on if those H100s are under contract
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Cody Blakeney retweeted
It would take like 30 minutes to explain why I'm getting images sent to me at work on slack, but it is pretty sick.
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Well @stochasticchasm ? What are the bangers?
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I mean who isn’t these days
lmao john schulman just basically blurts out that thinking machines is working on a continual learning model
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Replying to @rickasaurus
It overthinks everything
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Replying to @HamelHusain
Let me guess. Still clustering?
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The things you can do with data get so much cooler as your context length grows. Literally a limitless playground of imagination.
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