📰 AI行业资讯
289 篇文章 · 每日自动更新
85% of companies burned by an AI mistake are racing to cut the humans who might catch the next one
Enterprises that already got burned by an AI agent passing its evals and then failing in production ...
Commerce AI is fragmenting. Here is why that matters.
Presented by Rezolve AiEnterprise AI investment in commerce has never been higher. And enterprise AI...
AI automation startup Relay shuts down, staff joins Google’s Chrome team
"We have some really ambitious plans to help you work with AI in Chrome to get things done, and I’ll...
One AI module faked 86% of a pipeline's accuracy gains by feeding another the answers
A retrieval-augmented generation (RAG) system is built to answer strictly from the documents it retr...
Amazon, which started off selling books, is destroying rare texts to train AI
Rare books are incredibly valuable for training LLMs, since these models have already trained on wha...
Enterprises with AI context layers report agent failures at more than twice the rate of those without one
A company builds a governed context layer specifically to stop its AI agents from confidently giving...
Stripe will reportedly acquire AI gateway startup OpenRouter for $7B+
OpenRouter's CEO recently described the startup as Stripe for AI....
Cutting RAG inference costs 6x starts with deciding what never reaches the LLM
Most teams building retrieval augmented generation (RAG) systems for high stakes classification make...
Why people aren’t buying Mark Zuckerberg’s AI future
On the latest episode of Equity podcast, we discuss why not everyone is buying Zuckerberg’s vision....
DeepSeek's top-ranked V4 Flash stumbles on real agent tasks as its prices surge
DeepSeek's V4 Flash has topped model leaderboards and been hailed by developers as a "tota...
Woman claims her stepfather used Grok to transform childhood photo into explicit imagery
The woman claimed that AI tools are "taking everyday life and turning it into child sexual abuse."...
An eval harness found what qualitative review couldn't: AI models are most confident when wrong
There is a step in the development process for large language model (LLM)-assisted tooling that most...