Get live statistics and analysis of Shawn Lewis's profile on X / Twitter

Founder & CTO @wandb. Building tools for AI. Going even bigger @CoreWeave.

796 following2k followers

The Innovator

Shawn Lewis is a cutting-edge tech trailblazer focused on revolutionizing AI through advanced programming agents and scalable tools. As the Founder & CTO of wandb, he’s pushing the limits of AI research and real-world application with breakthrough projects and strategic acquisitions. His work is all about making AI smarter, faster, and more accessible to solve the toughest problems.

Impressions
9.2k8.1k
$1.73
Likes
5648
69%
Retweets
64
7%
Replies
65
7%
Bookmarks
1311
16%

Shawn’s tweets are like quantum physics lectures for AI nerds—brilliant, but if you’re not knee-deep in the code, you might just be staring at the screen wondering if you accidentally loaded your compiler in a rocket launch simulation.

Leading wandb to acquire OpenPipe and seamlessly integrate their ART framework, enabling smaller open models to outperform foundation ones, marks Shawn’s strategic and technical genius in accelerating AI model optimization.

To innovate and build transformative AI technologies that redefine software engineering and machine learning capabilities, empowering developers worldwide to achieve state-of-the-art performance and efficiency.

Shawn believes in the power of open collaboration, rigorous data-driven experimentation, and continuous iteration to drive AI progress. He values transparency, scalability, and the relentless pursuit of pushing technological boundaries to solve complex, real-world problems.

His strengths lie in visionary technical leadership, deep mastery of AI and reinforcement learning, and the ability to translate complex research into impactful, scalable tools that captivate the tech community.

A potential blind spot might be balancing high-level innovation with broader audience engagement, as his specialized and technical focus can sometimes limit mass appeal or simpler communication for wider user growth.

To grow his audience on X, Shawn should consider unboxing complex AI breakthroughs into bite-sized, relatable threads that bridge technical depth with clear, engaging storytelling—highlighting real-world impact and inviting community collaboration and questions.

Fun fact: Shawn’s o1-based AI programming agent recently achieved state-of-the-art results on SWE-Bench Verified, resolving nearly two-thirds of issues autonomously—a pioneering feat in AI-driven software engineering.

Top tweets of Shawn Lewis

Announcing "look at your damn data" for Reinforcement Learning! You now get the full power of @weave_wb traces in the @weights_biases workspace. For any wandb run that calls an LLM, just "pip install weave" and "import weave" in your code. We also have out-of-the-box integrations for verifiers from @willccbb, ART from @OpenPipeAI, and verl from Bytedance Seed Team. Use those libraries with wandb/weave installed and everything just works.

35k

New result for my pure o1-based agent: 57.4% pass@1 on SWEBench-Verified! Avg cost: $7.5 per instance Avg time: 13.5 minutes per instance Pass@3 is 67.8%. Now I'm working on "test time compute scaling", ie combining/choosing the best trajectories, to push closer to this mark. Uses my new (unpublished) phaseshift framework.

13k

I’m incredibly proud of everything our team at @weights_biases has accomplished, and excited to keep building with the amazing folks from @CoreWeave!

5k

Sept 8: @CoreWeave acquires @OpenPipeAI Oct 8: @OpenPipeAI ships Serverless RL

7k

The full o1 model is amazing. With reasoning_effort=high, it trounces o1-preview on swebench using my little agent framework. This is pass@1 on a shuffled sample of 100. o1-high: 57/100 resolved, 76m tokens o1preview: 44/100 resolved, 94m tokens

1k

Most engaged tweets of Shawn Lewis

Announcing "look at your damn data" for Reinforcement Learning! You now get the full power of @weave_wb traces in the @weights_biases workspace. For any wandb run that calls an LLM, just "pip install weave" and "import weave" in your code. We also have out-of-the-box integrations for verifiers from @willccbb, ART from @OpenPipeAI, and verl from Bytedance Seed Team. Use those libraries with wandb/weave installed and everything just works.

35k

New result for my pure o1-based agent: 57.4% pass@1 on SWEBench-Verified! Avg cost: $7.5 per instance Avg time: 13.5 minutes per instance Pass@3 is 67.8%. Now I'm working on "test time compute scaling", ie combining/choosing the best trajectories, to push closer to this mark. Uses my new (unpublished) phaseshift framework.

13k

I’m incredibly proud of everything our team at @weights_biases has accomplished, and excited to keep building with the amazing folks from @CoreWeave!

5k

The full o1 model is amazing. With reasoning_effort=high, it trounces o1-preview on swebench using my little agent framework. This is pass@1 on a shuffled sample of 100. o1-high: 57/100 resolved, 76m tokens o1preview: 44/100 resolved, 94m tokens

1k

A @weights_biases frontend feature that went out Friday caused crashing and performance issues for some users, that we didn't catch til this morning. Fix is rolled out now!

1k

I put my work log for developing programmer into #NotebookLM to produce a podcast. There are some hallucinations, but it really made me feel like the narrators understood the character of what I'm doing. What an incredible experience!

1k

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