If AI starts doing the work, can people trust the outcome?
"One agent doing one task is certainly valuable, but multiple agents across the workflow really unlocks the value," said Karim Fadel.
TechCrunch AI·
"The reality is, when you're optimizing for production, you start looking at a price/performance," Guillermo Rauch tells TechCrunch.
Read full article"One agent doing one task is certainly valuable, but multiple agents across the workflow really unlocks the value," said Karim Fadel.
Most "LLM wikis" use agents, embeddings, and repeated model calls to organize local notes. I built a deterministic alternative: a pure Python compiler that turns messy markdown into a linked, linted wiki using only the standard library. Along the way, I fixed two real bugs, benchmarked the pipeline on two operating systems, and showed why a compiler is often a better fit than an agent for mechanical text organization. The post LLM Wikis Are Over-Engineered — I Replaced Mine With a Pure Python Compiler appeared first on Towards Data Science.
A decade of open source at DataRobot: from predictive AI to the agent lifecycle Every era of DataRobot has shipped open source. The latest open-source contributions from DataRobot map directly onto where agents actually break in production. Building an agent has never been easier. Pick a framework, wire up a model and a retriever, add... The post A decade of open source at DataRobot: from predictive AI to the agent lifecycle appeared first on DataRobot.
Cloudflare is giving AI companies until September 15 to separate web crawlers used for search from those used for AI training and agents, or risk being blocked by default on many publisher sites.
AC Milan's pursuit of Liberali highlights strategic financial planning in player transfers, potentially reshaping their future squad dynamics. The post AC Milan meets with agents of midfielder Mattia Liberali ahead of transfer decision appeared first on Crypto Briefing.
Engineers on the new team will embed within companies to deploy purpose-built agents, focusing on fast deployments and customer self-sufficiency.
A reproducible benchmark on latency, cost, and reproducibility, and where agents actually earn their keep. The post The Hot Path Belongs to GBDTs, Agents Own the Cold Path: A Payment-Fraud Benchmark appeared first on Towards Data Science.
General Intuition has raised $320 million to scale AI trained on millions of hours of gameplay, betting action data can help AI develop something closer to human intuition.