#艺术

原帖正文 RAG is officially cooked.IBM built a retriever that hallucinates 65x less than fine-tuned RAG systems.Right now, every company is using Retrieval-Augmented Generation (RAG) to stop their AI from hallucinating.The idea is to give the AI a private database to read so it doesn't make things up.But there is a massive structural flaw.Standard RAG blindly grabs documents based on vector similarity and forces the AI to read them. If the retriever pulls irrelevant garbage, the AI doesn't stop.It just hallucinates with citations.IBM just dropped a paper that changes the math entirely.They built a new retrieval architecture that hallucinates 65x less than state-of-the-art fine-tuned RAG systems.65x is the difference between a fun prototype and a production-grade enterprise system.Instead of blindly dumping context into the model and hoping for the best, their system actively filters and validates the retrieved data before the generation step even begins.It cuts out the noise. It forces absolute precision.For businesses, this is the holy grail.Zero hallucinations means zero liability. It means autonomous agents can finally be trusted with sensitive company data without a human babysitting every output.

原帖正文 We serve data in milliseconds to more than 1.2 billion users across 40 geographic regions. To reach that scale, we worked closely with @AzureCosmosDB on our storage architecture, achieving a 12x improvement in global median read latency. pic.twitter.com/h5sRJaQABs

原帖正文 During this red-teaming exercise, we also found a vulnerability that allows for unauthenticated remote code execution in Brotli, a widely-deployed compression library included in many pieces of software such as Node.js, Bun, and Envoy. The flaw could let an attacker run their… https://t.co/qjcoF49rMC

原帖正文 Over the past several months, we have substantially hardened the security of our research training environment. We’ve removed live internet access for all frontier models during training and built an offline world for them to use instead—a cached version of the web where they can…