It's still good, but not the best.

Nesse tipo de comportamento, a emoção se antecipa à reflexão, fazendo com que a comunicação perca cuidado e direção. Comentários feitos sem ponderação podem gerar feridas emocionais difíceis de reparar e provocar rupturas desnecessárias. Com o tempo, o outro…

Moltbook is being called the "Reddit for AI agents"—a social network where 1.5 million autonomous bots supposedly hang out, form communities, and plot world domination. But after digging into the code and security research, the reality is far more messy and…

Honored to be a part of this, along with Yuval Noah Hariri, Melanie Mitchell, Helen Toner, Carl Benedikt Frey, Ajeya Cotra and co-founders of Perplexity and Cohere:

Version bump: v0.12.3

Given any string of bytes, you can convert it to an hexadecimal string by mapping the least significant and the most significant 4 bits of byte to characters in 01...9A...F. There are more efficient techniques like base64, that map 3 bytes to 4 characters.…

Demystifying the concept of a parameter in machine learning: what they are, how many parameters a model has, and what could possibly go wrong when learning them.

Corporate treasurers are moving liquidity operations off bank rails, not because they believe in crypto, but because stablecoins solve…

Selling a home as a pocket listing can protect privacy and avoid price missteps—but often at the cost of competition.

I got tired of accidentally breaking things.

One year ago, Anthropic launched the Model Context Protocol (MCP)—a simple, open standard to connect AI applications to the data and tools they need.

From investing through the modern data stack era (DBT, Fivetran, and the analytics explosion) to now investing at the frontier of AI infrastructure and applications at Amplify Partners, Sarah Catanzaro

From Berkeley robotics and OpenAI’s 2017 Dota-era internship to shipping RL breakthroughs on GPT-4o, o1, and o3, and now leading model development at Cursor, Ashvin Nair has done it all.

From pre-training data curation to shipping GPT-4o, o1, o3, and now GPT-5 thinking and the shopping model, Josh McGrath has lived through the full arc of OpenAI’s post-training evolution—from the PPO vs DPO debates of 2023 to today’s RLVR era, where the real…

From creating SWE-bench in a Princeton basement to shipping CodeClash, SWE-bench Multimodal, and SWE-bench Multilingual, John Yang has spent the last year and a half watching his benchmark become the de facto standard for evaluating AI coding agents—trusted…

From undergraduate research seminars at Princeton to winning Best Paper award at NeurIPS 2025, Kevin Wang, Ishaan Javali, Michał Bortkiewicz, Tomasz Trzcinski, Benjamin Eysenbach defied conventional wisdom by scaling reinforcement learning networks to

We are reupping this episode after LMArena announced their fresh Series A (https://www.theinformation.com/articles/ai-evaluation-startup-lmarena-valued-1-7-billion-new-funding-round?rc=luxwz4), raising $150m at a $1.7B valuation, with $30M annualized consumption…

From building internal AI labs to becoming CTO of Brex, James Reggio has helped lead one of the most disciplined AI transformations inside a real financial institution where compliance, auditability, and customer trust actually matter.

From shipping Gemini Deep Think and IMO Gold to launching the Reasoning and AGI team in Singapore, Yi Tay has spent the last 18 months living through the full arc of Google DeepMind’s pivot from architecture research to RL-driven reasoning—watching his team…

Lance: https://www.linkedin.com/in/lance-martin-64a33b5/