The Voice AI Problem Nobody Talks About I have built voice pipelines the hard way. Speech-to-text from one vendor, a language model from a second, text-to-speech from a third. It works. Until it doesn’t. And when it breaks at 2am, you get to play a very fun game of “which API is lying to me…
The Ugly Truth About Voice AI Stacks (And Why xAI’s New Platform Might Fix It) If you have ever built a production voice agent, you know the specific kind of 3am dread that comes with it. Not the “did I push bad code” dread. The “which of my three vendors broke and who do I…
GeneBench-Pro and the Benchmark That Actually Matters Most AI benchmarks are designed to be solved. That’s the problem. You format the question cleanly, the model retrieves the right token sequence, the number goes up, the press release goes out. Meanwhile, anyone who has spent time in actual computational biology is quietly losing their mind, because…
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….
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…
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…
The Blind Spot in AI Safety Nobody Is Talking About Most AI safety work is built around a single premise: one model, one user, one context. Evaluate it. Red-team it. Deploy it carefully. That mental model made sense when AI was a chatbot answering questions. It does not make sense anymore. Google DeepMind, together with…
The Lone Researcher Just Got a Lab Most announcements from major AI labs land with a thud of hype and then quietly fade. This one is different. Google DeepMind just opened Co-Scientist to individual researchers through a new initiative called Gemini for Science, and I think the scientific community is sleeping on what this actually…
The Wrong Question About AI Agents Most developers I talk to are still asking “which model should I use?” It’s the wrong starting point. The model is almost irrelevant if the system around it is broken. I’ve watched teams spend weeks benchmarking GPT-4o against Claude 3.7 against Gemini, then hand the winner a vague task…
One Guy, One MacBook, $18,800 a Month I have seen a lot of “AI agency” pitches in the past two years. Most of them are courses dressed up as case studies. This one is different. A solo operator, no employees, no office, no sales team, is pulling $18,800 a month selling websites to local businesses….
