From Code Search to AI Agents: Inside Sourcegraph's Transformation with CTO Beyang Liu
Sourcegraph's CTO just revealed why 90% of his code now comes from agents—and why the Chinese models powering America's AI future should terrify Washington. While Silicon Valley obsesses over AGI apocalypse scenarios, Beyang Liu's team discovered something darker: every competitive open-source coding model they tested traces back to Chinese labs, and US companies have gone silent after releasing Llama 3. The regulatory fear that killed American open-source development isn't hypothetical anymore—it's already handed the infrastructure layer of the AI revolution to Beijing, one fine-tuned model at a time. Resources: Follow Beyang Liu on X: https://x.com/beyang Follow Martin Casado on X: https://x.com/martin_casado Follow Guido Appenzeller on X: https://x.com/appenz Stay Updated: If you enjoye
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What is Intelligence?
An examination of cognitive science and computational physics in light of Artificial General Intelligence There’s no shortage of opinions on whether LLMs are intelligent. I’ve spent time studying two perspectives on this question, rooted in separate yet complementary scientific fields. While the combined view appears almost complete, there is a gap between them that points to something I believe is the one of today’s most important unsolved problems on our path towards true intelligence. Two Views: Cognitive Science and Computational Physics The first perspective comes from cognitive science — the psychological view. One of its prominent voices in the AI debate is Gary Marcus , Professor Emeritus at NYU, founder of Geometric Intelligence (acquired by Uber), and author of multiple books on
Anthropic Just Accidentally Leaked the Most Dangerous AI Ever Built - Then Had to Admit It Exists!
Frontier AI · Cybersecurity · Accidental Disclosure Claude Mythos internally called Capybara is described by Anthropic itself as “by far the most powerful AI we’ve ever developed” with “unprecedented cybersecurity risks.” Their own documents said it. They left those documents in a publicly searchable data store. The irony writes itself. I’m writing this on a machine running Claude Sonnet 4.6. The model writes back when I ask it to, helps me structure my thinking, catches errors in my drafts. I’ve used it to help write every article in this series. It has become, over the past few months, one of the most reliable tools in my engineering education a collaborator I interact with more than most of my classmates. So when I opened my laptop on Thursday morning in Puducherry and saw the Fortune h
Seedance 2.0: Technical Analysis of ByteDance's Multimodal Video Generation Model
This post provides a technical analysis of Seedance 2.0, ByteDance’s AI video generation model released in February 2026. The focus is on the model’s architectural innovations — multimodal reference inputs, physics-aware motion synthesis, video-to-video editing, and frame-accurate audio generation — and the current state of API access for integration. Model Architecture: Multimodal Reference System The defining architectural feature of Seedance 2.0 is its multimodal reference system. While most video generation models accept a text prompt and optionally a single image, Seedance 2.0 supports up to 9 images + 3 video clips + 3 audio tracks as simultaneous input references . The model processes these through separate extraction pathways: Input Type Max Count Extracted Features Images 9 Compos
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What is Intelligence?
An examination of cognitive science and computational physics in light of Artificial General Intelligence There’s no shortage of opinions on whether LLMs are intelligent. I’ve spent time studying two perspectives on this question, rooted in separate yet complementary scientific fields. While the combined view appears almost complete, there is a gap between them that points to something I believe is the one of today’s most important unsolved problems on our path towards true intelligence. Two Views: Cognitive Science and Computational Physics The first perspective comes from cognitive science — the psychological view. One of its prominent voices in the AI debate is Gary Marcus , Professor Emeritus at NYU, founder of Geometric Intelligence (acquired by Uber), and author of multiple books on
[Research] Standard Protocol for Axiomatic Alignment: 100-Dilemma Stress Test (PCE v1.3-T)
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