Vintage Data

Hi, author here. An important background is the imminent rise of actual LLM agents I discuss in the next post: https://vintagedata.org/blog/posts/designing-llm-agents So answering to a few comments: *The shift is coming relatively soon thanks to the latest RL breakthroughs (I really encourage to give a look at Will Brown talk). Anthropic and OpenAI are close to nail long multi-task sequences on specialized tasks. *There are stronger incentives to specialize the model and gate them. They are especially more transformative on the industry side. Right now most of the actual "AI" market is still largely rule-based/ML. Generative AI was not robust enough but now these systems can get disrupted — not to mention many verticals with a big focus on complex yet formal tasks. I know large network engineering co are upscaling their own RL capacities right now. *Open source AI is distanced so far due to lack of data/frameworks for large scale RL and tasks related data. Though we might see a democratization of verifiers, it will take time. Several people from big labs reached out since then and confirmed that, despite the obvious uncertainties, this is relatively one point.