Google DeepMind Gave Agents a Native Screen. Here’s Why That Changes the Architecture. Google DeepMind quietly dropped something last week that I think is going to matter more than its announcement suggested. Gemini 3.5 Flash now supports native computer use. One tweet, a link, not much fanfare. But the technical implications are worth sitting with….
OpenAI Just Built Its Own Chip. The Industry Should Pay Attention. There’s a tweet from OpenAI that got 15,000+ likes and most people in my feed either cheered it or scrolled past. I think both reactions miss the weight of what actually happened. OpenAI announced Jalapeño, its first custom AI chip, designed in-house and brought…
Mistral OCR 4 Is Not an OCR Model. It’s a Document Parser. There’s a category error happening in how people are talking about Mistral OCR 4. The coverage keeps framing it as a better text extractor. It isn’t. What Mistral shipped is a semantic document parser that happens to read text. That distinction matters a…
OpenAI Just Turned Security Upside Down The standard move in AI security announcements is to drop a model, publish some benchmark numbers, and call it a day. OpenAI did something different this week, and I think most of the coverage is missing the actual story. Yes, GPT-5.5-Cyber is impressive. State-of-the-art on CyberGym, designed specifically for…
The Question Nobody Wants to Ask About Multi-Agent AI Most AI safety debate centers on the dramatic scenario. The misaligned superintelligence. The model that decides humans are in the way. It makes for good headlines and even better sci-fi. But Google DeepMind just published something that pulls the conversation back to earth, and I think…
GPT-5.5 Instant and the RL Alignment Paper That Deserves More Attention OpenAI dropped two things this week that most coverage is treating as separate announcements. They are not. GPT-5.5 Instant reaching parity with frontier Thinking models on health questions is the product headline. The reinforcement learning research on beneficial traits is the reason to actually…
The Number That Stopped Me Cold I’ve read a lot of AI research papers. Most of them report marginal gains on benchmarks nobody outside the lab cares about. Then I read the OpenAI and Boston Children’s Hospital study published in NEJM AI, and one number made me stop: 18. Eighteen diagnoses. From 376 cases that…
Project Fetch Phase 2: The Number That Should Change How You Think About AI Timelines I have been in AI/ML long enough to develop a healthy skepticism about benchmark announcements. Companies love to cherry-pick numbers that make their models look transformative. So when I say that Anthropic’s Phase 2 Project Fetch results genuinely stopped me…
GPT-5.4 Just Ran a Real Drug Discovery Experiment. The Results Are Worth Paying Attention To. I have watched a lot of “AI does science” demos come and go. Most of them are carefully staged. A model generates something plausible-looking, a human expert nods approvingly, and the press release writes itself. What OpenAI published this week…
NotebookLM Just Got Agentic. Pay Attention. Google dropped a meaningful update to NotebookLM this week and the AI discourse barely flinched. Everyone was busy watching Anthropic’s policy announcements and xAI’s plugin marketplace rollout. Fair enough, those are real stories. But I think the NotebookLM upgrade deserves a harder look, because it changes what the tool…
