Baidu recently released an open weights vision language model called Unlimited-OCR, and the name tells you the pitch straight away. The idea is simple. Feed it a long document and let it transcribe the whole thing in one pass, page after page, without the usual slowdown that hits most models as output grows. That grabbed … Read more
Sakana AI and OpenRouter both made a big claim recently. Their message was simple: a single giant model may not be the best way to get frontier level results anymore. That’s a bold claim on its own. The twist is what sits underneath it. Sakana’s Fugu is presented like a model, but the interesting part … Read more
When an AI agent goes looking for information and comes back empty-handed, the usual assumption is that the answer was missing. A lot of the time, that is not the real problem. The answer may have been sitting right there in the source material. It just didn’t survive the trip into a machine-readable format. That … Read more
Every new model release brings the same promise. Better reasoning. Better synthesis. Better scores on the benchmarks. And yet, if you build knowledge agents for real work, the failures that matter most still keep showing up. I see this especially in retrieval-based systems. The model pulls in source material, then produces something that looks polished … Read more
There’s a huge race happening in AI right now to define what comes after conventional RAG. By this point, most people have heard some variation of “RAG is dead.” I don’t buy that framing. It’s usually too dramatic, and the proposed replacements are often too simple. What is true is that basic retrieval pipelines break … Read more
One of the biggest problems with AI agents shows up right after they seem to be working. An agent answers well. It reasons well enough. It picks tools. It performs actions. Then one day it sends the wrong email, charges the wrong customer, deletes the wrong file, or writes bad data into production. By the … Read more
Last month, Microsoft researchers published a paper with a blunt headline: large language models corrupt your documents when you delegate work to them. I think this matters a lot more than most AI coverage suggests. Right now, much of the conversation around AI still revolves around coding. That’s important, but it’s also narrow. The bigger … Read more
Anthropic recently announced a feature for managed agents called Dreaming. OpenClaw released something very similar before that, with the same name. That timing matters less than the pattern itself, because this feature points to a much bigger shift in agent design. Agents are moving beyond simple request and response systems. The new goal is improvement … Read more
Over the last year, I’ve seen a steady stream of headlines declaring that RAG is dead. Then the proposed replacement changes every few weeks. Sometimes it’s long context windows. Sometimes it’s agentic file exploration. Sometimes it’s context engineering, memory systems, or agent skills. Most of those headlines are too dramatic. But something genuinely interesting did … Read more
OpenAI recently published an open source orchestration spec called Symphony. On the surface, it looks like a practical system for scaling autonomous coding agents. But the deeper value isn’t just the tool itself. It’s the architecture lesson sitting underneath it. The big shift is simple. As coding agents get better, the human stops being the … Read more
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