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Originally published on agent5.news. When a senior researcher resigns from one of the most powerful AI companies in the world and publishes an essay titled "I Quit OpenAI Because Its Culture Is Broken," it is easy to treat the story as a workplace drama. It is not.
Originally published on agent5.news. A single checkbox buried in your Mac's System Settings can expose your private messages, your email, your browsing history, and years of files to any application you install.
Originally published on xiongpin.dev. Building a small website today takes about ten minutes. A landing page, a form, a data table to store the submissions and an admin view to read them. You describe what you want, an AI coding tool writes the code, and then it deploys the service.
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle. What I Built MenuMitra is a small menu translation studio for independent restaurants.
LLMs hallucinate most confidently about exactly the domain we publish on — Chinese licenses, store policies, cloud partitions. I run chinaready.co, an editorial site about China market entry for Western software teams (full disclosure: it's my site; the server below is free and MIT-licensed, no…
Chinese retail traders turned cautious on Monday while global money kept moving. Yijinmoming scraped 836 real posts from five Chinese investor forums and scored them into a sentiment index: 56.1 out of 100, down 4.5 points from last week. Fear has not arrived - greed has simply left the building.
The future of local AI is agentic and requires multiple agents to share one machine: one agent summarising your emails overnight, one watching your health data and one doing the shopping, while you are still able to chat and ask questions in between.
Disclosure: I'm the founder of BlueVeta.com, so I know that one best. I only list features each tool states on its own website, and I say where another tool is the better pick.
AI Agents with Function Calling: Build Tools LLMs Can Use Create AI agents that can execute code, search the web, and call APIs — using function calling. Introduction Function calling (tool use) transforms LLMs from text generators into agents that can act.
Recording a voiceover used to mean booking studio time. I have been using MinaVoice, a free online AI voice cloning and text-to-speech platform, to narrate videos and podcasts without a microphone. How it works Upload a short 3-15 second reference clip of any voice.
Claude Code helped Linus Torvalds explore a Linux memory-management change, write test programs and draft its explanation. The interesting part is in the cover letter: an experimental patch series reduces the cost of a particular shared-file workload, makes another read path slower and leaves…
On a normal day I have several agents running at once. One is building a feature. Another is writing its tests. A third is chasing a bug. A fourth is reviewing what the first one wrote. I am not typing code. Most days now, I barely do.
Model price changes detected for Alibaba, Baidu, Chutes, Decart, Inceptron, Reka and StreamLake. Details below.
Building RAG from Scratch: No Frameworks Needed Understand Retrieval-Augmented Generation by building it yourself — pure Python, zero dependencies. Introduction LangChain, LlamaIndex, Haystack — great tools, but they hide how RAG actually works.
You ask your agent to cover a new function. It comes back with eight tests, all green. You move on. Sometime later you're staring at the diff and a nagging question surfaces: what would actually break if this function returned the wrong thing? The answer, more often than you'd like, is nothing.
At the OCP Global Summit in San Jose, Microsoft introduced Maia 300, announcing plans to scale the third-generation inference processor across multi-gigawatt datacenter footprints starting next year.
Your agent can fetch a page. It can also submit a form. Those are not the same permission. On October 9, 2026, Anthropic published Investigating unintended model actions in our evaluations and internal use (also on their research site).
Training computer-use agents currently runs into a clean wall: native desktop applications are painful to spin up at scale, and browser toys lack workflow depth.
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