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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
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
See our Claude Guide for complete coverage Introduction Most model launches sound like a gym ad. “Stronger.” “Faster.” “More capable.” Cool. Show me the part where it stops breaking my repo. Claude Sonnet 4.6 is interesting for a more boring reason, it raises the floor. For a lot of builders, the default model quietly determines … Read more
Introduction Open models used to come with a quiet warning label: fun for tinkering, risky for shipping. Then the new wave showed up and started taking points off the “frontier” scoreboard. Qwen3.5 is firmly in that wave. If you build real systems, you care about three things more than hype: capability, cost to iterate, and … Read more