Cody Blakeney

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Cody Blakeney

Cody Blakeney

@code_star

Data Dawg @datologyai | Formerly Data Research Lead @DbrxMosaicAI | Visiting Researcher @ Facebook | Ph.D | #TXSTFOOTBALL fan | https://t.co/4G6Jf3at5w

Redwood City, CA شامل ہوئے Ağustos 2011
1.7K فالونگ6.5K فالوورز
پن کیا گیا ٹویٹ
Cody Blakeney
Cody Blakeney@code_star·
I've got something new for everyone. My first substack article! Not the one I planned to do first, but a fun one! I have made a handy calculator base on the DeepSeek v1 coefficients for finding optimal LR and batch sizes for dense LLMs.
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Cody Blakeney
Cody Blakeney@code_star·
Your evals, your environments, your data, your model. You need to scale the ladder Using foundation models to build a good harness and getting eval coverage is a great way to start building business value. Building environments to improve on your use cases is something that is often something your domain experts at your company are uniquely positioned to do. CPT on open models once you have done all this leg work is a great, tight feedback loop to insure you have data of sufficient quantity and quality to even consider pretraining. Scale the ladder
Vivek@vivek_2332

@code_star 💯💯 every company should be fine-tuning an open source model with rl to adapt to their own ecosystem and workflows. a generic model will never get you the same output as one trained on your own harness.

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Chris 🇨🇦
Chris 🇨🇦@llm_wizard·
It’s crazy both that: 1. Some companies don’t understand that telling people that you started from an open source model, even specifying the model, is an absolutely banger thing to do 2. Some companies think that people getting mad about hiding that disclosure stems from a lack of legality Open Source models are dope. Training on top of them is dope. Using them in non-open commercial settings is both dope and allowed. Just be real about it. Celebrate the models that helped get you to where you wanted to go. That’s all you have to do - license or not.
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xlr8harder
xlr8harder@xlr8harder·
People really want there to be drama here, but I'm not sure there is. It genuinely might just be misunderstandings among the rank and file.
Kimi.ai@Kimi_Moonshot

Congrats to the @cursor_ai team on the launch of Composer 2! We are proud to see Kimi-k2.5 provide the foundation. Seeing our model integrated effectively through Cursor's continued pretraining & high-compute RL training is the open model ecosystem we love to support. Note: Cursor accesses Kimi-k2.5 via @FireworksAI_HQ ' hosted RL and inference platform as part of an authorized commercial partnership.

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Cody Blakeney
Cody Blakeney@code_star·
My Mama couldn't get through to me The drama, people suing me I'm on twitter talking like it's just you and me.
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Cody Blakeney
Cody Blakeney@code_star·
Imagine if delve had twitter They’d be like @SOC is this 2?
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Cody Blakeney
Cody Blakeney@code_star·
I've got something new for everyone. My first substack article! Not the one I planned to do first, but a fun one! I have made a handy calculator base on the DeepSeek v1 coefficients for finding optimal LR and batch sizes for dense LLMs.
Cody Blakeney tweet media
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Cody Blakeney ری ٹویٹ کیا
Cody Blakeney
Cody Blakeney@code_star·
Model adaptation is coming. It works, and learning how to do it will is going to be a big differentiator for people going forward. Even if you have ambitions to train from scratch starting from great models helps you understand your problems better, make evals, RL environments, adapt to scale. I’m excited to see how this evolves.
clem 🤗@ClementDelangue

Looks like it’s confirmed Cursor’s new model is based on Kimi! It reinforces a couple of things: - open-source keeps being the greatest competition enabler - another validation for chinese open-source that is now the biggest force shaping the global AI stack - the frontier is no longer just about who trains from scratch, but who adapts, fine-tunes, and productizes fastest (seeing the same thing with OpenClaw for example).

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Prasanna Srikhanta
Prasanna Srikhanta@prasanna·
I like the idea of surfacing talent through competitions since it may uncover folks who would be traditionally overlooked. Back in the day Google ran a competition and someone I knew in uni who had dropped out of EECS ranked really well. Google kept trying to contact him and he ignored them because he was busy with other things. This was early 00s. Some people just like the game. There are some incredibly smart and creative people out there and it’s a wonder to see them operate.
Cody Blakeney@code_star

For students or people looking to break into careers in AI this exists to be a talent pipeline tool. Making visible and meaningful entries here is probably one of the highest ROI ways to demonstrate your skills and break in without getting a PhD or publishing.

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Cody Blakeney
Cody Blakeney@code_star·
everyone mad about Cursor 2 seems to have forgotten what the idea behind a "Foundation Model" was
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Cody Blakeney ری ٹویٹ کیا
Cody Blakeney ری ٹویٹ کیا
Cody Blakeney
Cody Blakeney@code_star·
I was day dreaming about building a 4x rtx pro 6000 workstation for my home and then realized I'd probably blow a fuse or start a fire.
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