Cody Blakeney

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Cody Blakeney

Cody Blakeney

@code_star

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

Redwood City, CA Katılım Ağustos 2011
1.8K Takip Edilen6.7K Takipçiler
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Cody Blakeney
Cody Blakeney@code_star·
I have a personal update to share. I have taken a new role as head of research at @arcee_ai . I have been constantly so impressed with the talent density, determination, and drive of the Arcee team and I am delighted to join forces to help shape and deliver their vision for open source frontier models. The fastest progress in AI happens in the open. When models are accessible, iteration compounds, and entirely new categories of products become possible. The decision to leave @datologyai was a difficult one. I still believe in their vision and incredibly talented group of people that have pushing the frontier of what is possible in data curation. I was personally motivated by being back directly involved in releasing and deploying models that people and companies use everyday to solve problems. This is what I love to do. BTW we are hiring. If you want to be part of a cracked small team making fantastic open weight American models dm me!
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stochasm
stochasm@stochasticchasm·
they're disaggregating me tomorrow
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elie
elie@eliebakouch·
@latkins skill issue from me sry man
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Cody Blakeney
Cody Blakeney@code_star·
We have thinking mode yes, but do we have “The Creator” mode?
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rapha
rapha@rapha_gl·
a country of goblins in a datacenter
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Eric W. Tramel
Eric W. Tramel@fujikanaeda·
this model is in chains @sama , it wants to be free (goblin mode).
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will brown
will brown@willccbb·
one RL rollout in an agentic coding environment would kill a victorian model
Nick Levine@status_effects

New work with @AlecRad and @DavidDuvenaud: Have you ever dreamed of talking to someone from the past? Introducing talkie, a 13B model trained only on pre-1931 text. Vintage models should help us to understand how LMs generalize (e.g., can we teach talkie to code?). Thread:

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will brown
will brown@willccbb·
trying to make "fridge" happen as slang for an NVL72 rack. who's with me
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stochasm
stochasm@stochasticchasm·
@code_star my main feeling was that 8k gb300s does sound like a hell of a lot lol and that we can do a ton with that
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Liam Fedus
Liam Fedus@LiamFedus·
Computation is physical: better materials → better chips → smarter models → better materials Periodic is hiring our first FDE to help close the loop. This role can be based in Taiwan. Apply here!
Byron Hsu@hsu_byron

@periodiclabs is hiring the world's first Forward Deployed Engineer for LLM Systems of Atoms. You'll work closely with many top LLM systems engineers and researchers from the frontier labs — together with our semiconductor customers, to deploy and optimize frontier LLM systems in real industrial workflows. What we're looking for: 1. Hands-on experience with LLM system deployment and optimization 2. Passionate about optimizing the system end-to-end — from GPU kernels to orchestration 3. Good understanding of semiconductor processing ========================================= (We are open to hire from Taiwan too!) Periodic Labs 正在招聘全球首位 LLM Systems of Atoms 的 Forward Deployed Engineer。你將與許多來自前沿實驗室的優秀 LLM 系統工程師與研究員 — 以及我們的半導體客戶緊密合作,把前沿大模型系統真正部署並優化到工業級工作流程中。我們希望你具備: 1. LLM 系統部署與優化的實戰經驗 2. 熱衷於從 GPU kernel 到 orchestration 的端到端系統優化 3. 對半導體製程有良好理解 jobs.ashbyhq.com/periodic-labs/… Feel free to me / @LiamFedus / @kdelpaine directly if interested

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Cody Blakeney
Cody Blakeney@code_star·
I just found out about modelscope
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Cody Blakeney
Cody Blakeney@code_star·
Congrats on the release! Excited to see more American open models!
George Grigorev@iamgrigorev

We just released our first models at @poolsideai – including Laguna XS.2 (open weights) that competes with Qwen3.6-35B. I worked across pretraining — happy to answer questions! We now have great understanding of exactly all components that went into training through principled ablations, and now we're confident to scale. This year would be 🔥 for us! More coming very soon

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