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X is expanding its “Under the Hood” transparency tool to show when posts have been downranked or withheld in response to local laws and government demands, including which country made the request.

Amazon has its own cohort of foundation models, along with one of the most popular inference platforms on the internet. As long as they're under no legal obligation to open the doors to Muse, why would they?

Future Google supplier Kairos Power inked a deal with Samsung C&T to help build its first 50-megawatt nuclear power plant.

Meta’s new AI agent Muse has racked up more downloads and daily active users in the U.S. and Canada than ChatGPT did over the same period after its mobile debut, according to new estimates from Appfigures.

5 days left to save up to $200 on your TechCrunch Disrupt 2026 pass + 50% off a second one. Join 10,000+ founders, investors, and operators at San Francisco’s Moscone West, October 13-15. Grab your ticket savings before prices go up on September 25, 11:59 p.m. PT.

This is a submission for the Sanity Challenge, Path Two: Vibe-Code Something Strange What I Built Verifit is an anti-hallucination career intelligence engine, CV tailoring suite, and job application tracker. The Problem Most AI resume builders suffer from unchecked fabrication. Ask a generic LLM to "tailor this resume for this job posting" , and within seconds it invents 5 years of Kubernetes experience, fabricates degrees, and inflates past job titles. On ...

A few days ago I wrote about one result from IDKMesh: a panel of 25 verifiers that, after measuring their shared errors, was effectively worth only one independent verifier. That experiment is interesting, but it starts in the middle of the story. So this post is the simpler version: What is IDKMesh, why am I building it, and how is it supposed to work? The problem AI agents are getting very good at producing things. They can write code, edit files, call tools, gene...

When I’m researching something I want to buy, I usually end up with the same problem: Too many tabs. Too many screenshots. Too many links. And eventually, I forget why I preferred one product over another. So I built SnapList . SnapList is an iOS app designed to turn scattered product research into a more structured buying decision. Instead of simply bookmarking products, the idea is to help you: Save products you're considering Keep potential purchases organized Evaluat...

Um guia para iniciantes entenderem o que é um Mock Server, como o JSON Server funciona e como utilizar um db.json para desenvolver e testar aplicações frontend. Introdução Quando estamos desenvolvendo uma aplicação frontend, existe um problema muito comum: a interface precisa consumir uma API, mas o backend ainda não está pronto . Imagine que você está construindo uma tela de gerenciamento de membros. O frontend já possui componentes, formulários e regras de interface,...

A few years into running a JVM backend in production, I stopped trusting dashboards just because they were green. The numbers weren't wrong, exactly — CPU fine, heap fine, request count nominal — but "green dashboard, angry customer" kept happening often enough that I started keeping a private list of incidents where every chart we had swore everything was fine. It was always the same story: we were watching the machine, not the request. A service can sit comfortably under every resource limit i...

Google's Gemini Notebook supports a configurable Output Language setting for generated text. Users can choose a preferred language for chat responses, study guides, documentation, Audio Overviews and Video Overviews, subject to the language support available for each feature. The capability gives multilingual teams a direct control inside the notebook experience rather than requiring them to treat language choice solely as a post-generation translation task. According to Google's Gemini ...

"Agents change the cost balance between generating and reviewing code. Code generation via AI agents can be automated and becomes cheap so that code input volume increases, but review is still a manual human activity, burdened on the shoulders of few core developers." Tim Hoffmann, matplotlib maintainer, on GitHub , February 11, 2026 Say you need a small utility for a side project. A few years ago that meant a search, a README, a quick scan of the issues tab to see if anyone had complai...

The surprise, reading a workflow engine from the inside, is how little of it is about graphs. Topological sorting is a first-year algorithm and it takes maybe fifty lines. Almost everything else is bookkeeping: who holds the lock, what counts as a fatal error, what happens when a process dies without saying so. That is the honest description of the category. The DAG is the part you would write in an afternoon. The rest is the part you would get wrong for a year. None of this is required ...

This is a submission for the Sanity Challenge, Path One: Ship an Agent That Queries Real Content What I Built Disposition Desk drafts the Quality Assurance (QA) decision on a pharmaceutical shipment that arrived with a temperature alarm. When a box of a 2–8 °C biologic shows up having spent thirty hours at 13 °C, somebody in QA has to decide whether to release it, quarantine it, or reject it. The numbers are the easy part: mean kinetic temperature (MKT), hours out of rang...

Running a WhatsApp AI bot locally sounds simple: WhatsApp → Node.js → Ollama → done. In practice, keeping it running reliably 24/7 on a Windows PC taught me a few things the hard way. Here are 5 problems I ran into — and how I fixed them. 1. The bot stopped when the terminal closed During development, running node index.js worked perfectly. But the moment the terminal was closed, the bot disappeared with it. The fix Use a process manager such as PM2:...

Most payment integration bugs never show up in a manual test. You click through the happy path once, it works, you ship it. Then in production a network blip causes a retry, two webhook deliveries arrive out of order, or a duplicate request slips through — and now you're debugging a double payout at the worst possible time. 63% of async API failures stem from race conditions invisible to synchronous testing tools. Payment APIs are almost entirely asynchronous — a transaction returns PENDING ...

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Article URL: https://radicaldatascience.wpcomstaging.com/2026/09/16/the-next-ai-infrastructure-challenge-is-before-the-first-token/ Comments URL: https://news.ycombinator.com/item?id=49790786 Points: 2 # Comments: 0

Article URL: https://daringfireball.net/linked/2026/09/21/pogue-siri-ai-125 Comments URL: https://news.ycombinator.com/item?id=49790829 Points: 3 # Comments: 0

Article URL: https://myscp.onlinelibrary.wiley.com/doi/full/10.1002/jcpy.1441 Comments URL: https://news.ycombinator.com/item?id=49790885 Points: 3 # Comments: 0

Article URL: https://autonomouscompany.substack.com/p/i-gave-an-autonomous-ai-company-0 Comments URL: https://news.ycombinator.com/item?id=49790912 Points: 2 # Comments: 0

Article URL: https://www.anthropic.com/institute/measuring-pace-of-ai-development Comments URL: https://news.ycombinator.com/item?id=49790987 Points: 2 # Comments: 0

Article URL: https://philippdubach.com/posts/maybe-meta-is-right-about-ai/ Comments URL: https://news.ycombinator.com/item?id=49791058 Points: 1 # Comments: 0