Speed vs Quality vs Cost (Bubble = Output Price) X: output speed, Y: GPQA Diamond, bubble size: $/1M output tokens Tip: the sweet spot is top-right with a smaller bubble. Google dropped Gemini 3.1 Flash-Lite on March 3, 2026, with essentially no advance notice. One day it wasn’t there, the next it was sitting quietly … Read more
If you build with LLMs, you know the moment. The model sounds polished, calm, and certain, then it gives you a made-up answer with the confidence of a senior consultant. That gap between fluency and truth is where AI hallucinations become costly. They waste time, erode trust, and in real workflows, they can quietly contaminate … Read more
Mini Chart Effect sizes when people switched from chronological to algorithmic (standard deviations) Engagement 0.14 Policy agenda (right) 0.11 Ukraine (pro-Kremlin) 0.12 Trump probes (unfair) 0.08 All policy/news index 0.12 Partisanship 0.00 Affective polarization 0.00 People ask Is X biased the way they ask if the weather is “angry.” It’s a vibe question, born from … Read more
There’s a certain satisfaction in watching a 25MB model outrun the hype around models fifty times its size. Kitten TTS doesn’t ask for a GPU, doesn’t need a cloud subscription, and doesn’t apologize for being small. It just works, faster than real-time, on your laptop, your Raspberry Pi, or whatever modest hardware you have sitting … Read more
Introduction Most LLM agents today are brilliant goldfish. They reason well. They plan decently. They can browse, search, shop, code. Then the episode ends, and it is as if nothing ever happened. No scars. No instincts. No accumulation. That is the quiet ceiling on current agent systems. Not reasoning depth. Not model size. Memory. In … Read more
Introduction Some weeks in AI feel like a stack of isolated announcements. This week feels different. The pieces rhyme. Models got better at long-horizon reasoning, better at acting inside tools, and in a few cases, better at doing real research instead of benchmark theater. If you track AI updates this week for signal, this is … Read more
Read Gemini complete articles Three months. That’s all the time Google needed between Gemini 3.0 and Gemini 3.1 Pro. If the release cadence feels disorienting, that’s because it is. We’re not in the era of annual model refreshes anymore. We’re in something closer to a sprint with no finish line in sight, and Gemini 3.1 … Read more