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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Cody Blakeney retweeted
Unfortunately, with access to an abliterated DeepSeek V4.1 model, there is little value to KYC holding back the frontier models now for cyber. In fact, making it hard to secure systems w extra friction in American Enterprise is hurtful to national security.
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Cody Blakeney retweeted
Soon this will be a question in MLE interviews and everyone will have to pretend like they would obviously have solved this bug from first principles
Jon Barron
@jon_barron21h
Hi all, I have a new result I'm excited to share. It turns out that *all existing implementations* of softmax and cross-entropy (that's JAX, PyTorch, textbooks, etc) have a subtle bug --- two bugs, actually. A simple rewrite fixes both, and eliminates "slingshots" when grokking:
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So at this point I just have to assume all software has basically been a wet paper bag of security for years. government agencies must be so pissed at all their exploits getting exposed.
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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
JT
@jiraticketsOct 22
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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