Auto-aggregated global tech articles · 853 posts
We wanted a small script that pings us when something real happens to NVIDIA — an earnings surprise, an export-control change, a leadership move. Not a feed. A handful of lines a day we can actually read. The first version was fifteen lines and it was wrong in a way we couldn't see from the output.
Autonomous AI agents (via AutoGPT, LangChain, MCP, or custom bots) cannot fill out credit card forms or complete 2FA challenges. As agent-to-agent (A2A) economic interactions grow, APIs need a machine-native monetization standard. The x402 protocol leverages standard HTTP error codes combined with
Read about Chesterton's Fence recently and it made me think a lot about dealing with AI-generated code. Had a ramble about it here if anyone's interested! Post has been significantly updated since first publishing (and briefly sharing here before removing it to rework it). submitted by /u/addy
Every agent user hits the same wall: it can't go the distance. Give an agent a complex, multi-app task, and somewhere along the way it loses the plot — the context window fills up and it forgets its progress, or one step fails and the whole task restarts from zero, or it claims "done" and you have
Hey tech adventurers! 👋 I maintain a little C++ / Arduino library that talks to Teslas over Bluetooth — unlock, climate, charging, the fun stuff. One wrong byte and the car just ignores you. Charming. 🫠 Repo went quiet for a long time. Catching it up by hand? That's weeks of careful suffering. Not
Part 7 of the Building the AI Memory Stack series Back in Part 1, I made a promise: memory eventually becomes voice. Up to this point, we've built the architecture that makes trustworthy memory possible. The Context Window executes work. Active Working Memory assembles the state required for tha
The PR size grew significantly this year. But a reviewer can still only pay attention to a finite number of changes. For the past months we have been interviewing the tech leads who review AI-generated code for a living, and tinkering with our own review surface around what they told us. These are o
Originally published on the Katto blog: https://katto.tech/blog/mcp-oauth-cloudflare-kv-race Katto is an AI video clipper. You give it a long video, it finds the best moments and cuts them into captioned vertical clips, and you can drive the whole thing from an AI agent through our official hosted
One question. 437,000 input tokens. Not a hard question either. An agent connected to our MCP server, asked something a support engineer answers in a sentence, and worked its way there through twenty tool calls, each one dragging every earlier answer along behind it. Nothing was broken while that
By Jordan Massiah, MTS @ Trent AI A couple of months ago we released the OpenClaw Security Assessment Skill (trentclaw), an agent that audits ClawHub skills for vulnerabilities and malicious behavior. Since then several new scanners have shipped, including NVIDIA's SkillSpector and ClawHub's own
Haven't you ever wondered if this AI vibe coding has made us lazy? Who's been solving problems on LeetCode lately? 😅 I've noticed that accepting is easier than thinking, by a margin so small that no single accept feels like anything, and it adds up anyway. Part of why it's hard to notice is that it
An app built on our platform is, at bottom, a configuration — a description read against an engine that all apps share. And that configuration is written in a vocabulary the platform defines: the section types. Articles, events, videos, products, forms. A section type is a word in the platform's lan
I've started running a small, ongoing experiment on myself: how do I actually improve the quality of my own work, and more specifically, how do I hand an AI agent the kind of product context that makes it build the right thing instead of a confident guess dressed up as a spec. This piece is the firs
Part of the TechAarvam workshop support files — Build Your Own Model. Attention is simpler than you think A hand-crafted superhero transformer This notebook presents a hand-crafted example. The goal is to understand the intuition behind the attention block in the transformer a
The European Union has opened seven new cybersecurity funding calls worth a combined €96 million under the Digital Europe Programme. Managed by the European Cybersecurity Competence Centre (ECCC), the calls cover AI-powered cybersecurity tools, support for European SMEs using cybersecure AI solution
A “dog as a skateboard” AI clip had about 3.2 million views on TikTok when I checked on September 6, 2026. I wanted to see if an Agent could extract the visual logic, rebuild it from a brief, and carry the result through a local production workflow. To be clear: the 3.2M views belong to the referen
I wanted to use my existing ChatGPT and Gemini browser sessions from developer tools such as VS Code without managing separate API keys, model subscriptions, and provider-specific integrations. That led me to build Chat Model Relay. It is a self-hosted, experimental gateway that connects an IDE cl
AI-generated pull requests are getting better at looking finished. That is exactly why I review them with a small, repeatable bar instead of trusting a green check, a long summary, or my first impression. Here is the tight version of my 10-minute review. It is designed for the moment when an agent
AI hype follows a rhythm: roughly every three years, the architecture everyone is betting on gets replaced by something newer. The next shift is already forming in research labs. What follows is a tour of the strongest candidates to replace the transformer, and of the evidence that the shift is alr
If you ask a normal AI chatbot something like “what is the weather in Mumbai right now?”, it will probably give you an answer straight away. It might even sound very confident while doing it. But there is an important thing to understand here: if that chatbot does not have access to live weather inf
461–480 / 853
