Context Windows Are Not Scratch Pads Most engineers I talk to treat a 200K token context window like a gift. More space means more context, more context means better results, better results mean ship it. That logic feels intuitive. It is also how you end up with a production agent that confidently contradicts its own…
xAI just launched speech-to-text and text-to-speech APIs through Grok. Quiet drop. Big implications. The voice AI space has been dominated by a handful of players, ElevenLabs, OpenAI’s Whisper, Deepgram, AssemblyAI. Building a voice pipeline meant stitching together multiple vendors, managing latency across API hops, and hoping nothing breaks mid-conversation. Now Grok is coming in as…
The hidden cost nobody talks about when building AI agents. It’s not compute. It’s not the API bill. It’s decision fatigue at the architecture level. Every week I talk to engineers who are drowning in choices before they’ve written a single line of agent logic. Which orchestration framework. Which memory layer. Whether to use tool-calling…
Anthropic Just Shipped a Design Tool, and the Quiet Implication Is Louder Than the Announcement If you blinked on April 17th you probably missed it. Anthropic posted a short video to X, the Claude account dropped a few sentences, and that was more or less the launch of Claude Design. No keynote, no sprawling blog…
Stop Building Agents. Start Packaging Knowledge. I’ve been thinking about something Barry Zhang and Mahesh Murag said at the AI Engineer Code Summit, and I can’t shake it. Sixteen minutes. Two Anthropic engineers. One idea that cuts through most of the noise in agentic AI right now. “Stop building agents. Build Skills instead.” Most people…
Tesla AI5 Tape-Out: Why Vertical Silicon Integration Changes the AI Hardware Race Most people saw Elon’s tweet on Wednesday and kept scrolling. That’s a mistake. On April 15, 2026, Musk posted a congratulations to the Tesla AI chip design team for taping out AI5, with a passing mention that AI6 and Dojo3 are already in…
The RAG Problem Nobody Wants to Admit Every company I talk to is convinced that dumping more documents into their vector store makes their AI smarter. It doesn’t. Past a certain point, it makes things worse. And the teams building these systems are skipping the one engineering step that would tell them that. This is…
The RAG Problem Nobody Wants to Admit Every company I talk to is convinced that dumping more documents into their vector store makes their AI smarter. It doesn’t. Past a certain point, it actively makes things worse. And the engineering teams building these systems either don’t know it yet, or they know it and nobody…
The RAG Problem Nobody Wants to Admit Every company I talk to is convinced that dumping more documents into their vector store makes their AI smarter. It doesn’t. Past a certain point, it actively makes things worse. The math here is not subtle, and the engineering community is mostly pretending it isn’t happening. Let me…
Three Years. One Comparison. No Going Back. Min Choi posted a side-by-side video comparison this week that genuinely stopped me mid-scroll. Left side: Modelscope, 2023. Right side: Grok Imagine v1, April 2026. Same basic prompt, same general idea, three years apart. If you haven’t seen it, go find it at https://x.com/minchoi/status/2043743669258174918 and give it 30…
