不追网红，只追创造者 —— 发现真正的 AI Builder
cursor independently invented the ralph wiggum loop to solve the problems they were seeing with parallel agent orchestration
Scaling long-running autonomous coding https://cursor.com/blog/scaling-agents (https://news.ycombinator.com/item?id=46624541)
View quoted postcome join our team and make brace happy!
if this isn’t how you react to new hires joining your team, I fear you’re not hiring correctly
RT Brace if this isn’t how you react to new hires joining your team, I fear you’re not hiring correctly Original tweet: https://x.com/BraceSproul/status/2011640219292831979
A lot of PDFs have charts, and parsing charts is hard. All frontier models out of the box are notoriously bad at interpreting chart values without explicit guidance. There’s a lot of ways you can throw compute/tokens at the problem (gpt-5.2-pro is pretty good), and there’s still a bunch of edge cases we need to fix. We’ve created some awesome visual understanding capabilities within LlamaParse at a cheap price. Our agentic mode supports good approximate chart parsing at 1c per page (lower with cost optimization/discounts), less than our comparable solutions at a few cents a page. In the picture below we overlaid a source line chart with our parsed chart on top. For simple line charts it basically matches perfectly. Whether it’s a financial report or marketing presentation, check out our agentic mode + agentic parsing toggles to help OCR your docs! Sign up: https://www.llamaindex.ai/signup
