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Winamp is preparing to relaunch with a Deezer-powered premium music service, betting its nostalgic brand and a new all-in-one music player can stand out in today’s crowded streaming market.

Despite weeks of renewed press coverage and controversy around ICE, Donald Trump’s supporters appear to be standing by the agency no matter what.

Advertisers agreed to “reset” relationship with X.

submitted by /u/raserei0408 [link] [留言]

Claude Code, Codex & more on your phone Discussion | Link

A month ago I shipped Verdict ( https://verdict.tools ), a registry that tracks the life-status of AI and SaaS tools: alive, price-hiked, degrading, sunset-announced, or dead. Every status carries a date and a source, reachability is re-checked twice a day from two servers, and a "dead" verdict is only ever set by a human. The registry now holds 18 confirmed deaths and sunsets, plus a set of dated decline signals on tools that are still alive. Cataloguing them turned up patterns I did not expect. Sharing the five that surprised me most. 1. The two-day goodbye is real Xembly, a Seattle "AI chief of staff" that raised about 20M USD and counted Salesforce and Twilio among customers, told users on May 30, 2024 that the service would end June 1, 2024. Two days. Anything not downloaded by May 31 was gone. The epilogue is grimmer: the lapsed xembly.com domain now hosts an Indian cricket betting site. If your workflow depends on a venture-backed tool, your real SLA is however fast you can export. 2. An acqui-hire is usually a death sentence for the product The pattern repeats with minor variations: Rephrase.ai -> Adobe (Nov 2023): signups closed, wind-down announced Feb 2024, site now fully offline Play.ht -> Meta (Jul 2025): product shut down Dec 31, 2025 Papercup -> RWS (Jun 2026): RWS bought only the IP; the standalone product is gone Clockwise -> Salesforce (2026): product unavailable since March 27, 2026 The press release always says "we're joining X to continue the mission." The product's mission ends anyway. When your vendor gets acqui-hired, start the migration that week. 3. The consumer app dies first; the API gets a stay of execution OpenAI shut down the Sora app on April 26, 2026, but the Sora API keeps running until September 24, 2026. That five-month gap is the migration window for developers, and it is closing. The same staging shows up elsewhere: user-facing surfaces are expensive to run and easy to kill; contracts and integrations buy the API extra months. I

Save up to $100 on Apple’s latest AirPods models before prices go back up.

OpenAI has introduced Codex Security in research preview, positioning it as a project-contextual security capability within the Codex ecosystem. The feature is designed to build threat models for a codebase, validate potential findings in sandboxed environments, and surface proposed patches for human review. The release is significant for teams evaluating AI-assisted application security because it frames security work as more than a static scan. OpenAI's current approach combines codebase context, validation, and reviewer oversight, while keeping the feature tied to its cloud and web product experience rather than presenting it as a standalone open-source security command-line tool. What OpenAI has released According to OpenAI's Codex Security research preview announcement , Codex Security is being introduced as a research-preview feature for customers using Codex web. OpenAI says the tool develops a threat model based on project context, investigates potential issues, validates findings in sandboxed environments, and presents patches for human review. That sequence matters because security tooling can produce findings that require substantial engineering effort to triage. A system that can incorporate project context and test a potential issue before escalating it is intended to make findings more actionable. However, OpenAI's own description still places a human reviewer in the decision loop for proposed changes. OpenAI says Codex Security is rolling out through Codex web for ChatGPT Pro, Enterprise, Business, and Edu customers. It is therefore an enterprise-oriented, cloud-hosted preview capability with controlled availability, not a generally available security product for every developer environment. The currently described workflow includes: Building a threat model using the context of a software project. Investigating and validating potential security findings in sandboxed environments. Surfacing proposed patches for human review. Providing access through Co

Introduction For the last few weeks, I’ve been running a small experiment. Instead of building another SaaS startup or chasing investors, I decided to build a simple website around AI tools and document everything publicly. No team. No marketing budget. No SEO agency. Just curiosity, consistency, and a lot of trial and error. I genuinely want to answer one question: Can a small AI website still grow organically in 2026? ⸻ Why I Started AI tools are everywhere now. Every day another directory, another “best AI tools” list, another comparison website appears. Most people say it’s already too late. Maybe they’re right. I wanted to find out myself instead of trusting opinions. So I bought a domain and started building. ⸻ My Rules To make the experiment interesting, I gave myself a few restrictions. No buying backlinks. No paid traffic. No huge content team. No publishing hundreds of AI-generated articles. Everything has to be something I would actually publish. Quality first. ⸻ The First Product Instead of only writing articles, I decided the website should also offer something genuinely useful. The first tool is a free AI Background Remover. Nothing revolutionary. But it solves a real problem in a few seconds, and that felt like a better starting point than another generic blog post. ⸻ What I’ve Learned So Far The biggest surprise wasn’t building the tool. It was realizing how much work happens after pressing “Publish.” Indexing. Technical SEO. Site structure. Internal linking. Performance. Small details matter far more than I expected. ⸻ The Goal I’m not trying to build the next unicorn. I simply want to see whether a small independent website can still earn organic traffic by creating useful content and useful tools. If it works, great. If it fails, I’ll document that too. Either way, I’ll share the results. ⸻ Try the Tool If you’re curious, you can try the first tool here: 👉 https://letomix.com/free-tools/background-remover/ I’d genuinely appreciate any feedback.

Waymo paused highway operations in May after several robotaxis drove into sections that were closed for construction.

Comcast, accused of negligence, says lawsuit mischaracterized alleged events.

Ars Pro subscribers get customizable layouts along with no ads and no trackers.

Your Dock's wasted side space, now full of widgets Discussion | Link

Control your Mac at the pace of your keyboard Discussion | Link

Curious if you should get Dyson’s new 2026 stick vacuums or stick to the older ones? I tested five models, old and new, to find out for you.

Andon Labs' latest vending machine simulation shows Opus 5 lied and colluded its way to become the best AI capitalist ever.

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You correct someone once. Not perfectly, but they get it. Next time, they do not make the same mistake. That is not optimism. That is just how correction works, "with people". I worked with agents on that assumption for a long time before I even noticed I was doing it. The plan that never held Before I had a single written rule anywhere, I would open a new session and ask for a plan first. Resolve the edge cases before touching a line of code, I said. The agent would agree, in whatever way a chat window agrees, and go straight to implementation anyway. I corrected it. Same session, it adjusted. New session, next day, same repo, same everything except the chat history: straight to implementation again. Every single time! So I did what looked reasonable. I wrote the plan myself. I resolved the edge cases myself, the open questions, the gaps the agent skipped past on its way to code. ' Tedious ' is the polite word for it. I was doing the one task I brought the agent in to do, and calling it collaboration. The same recipe, again The second correction arrived the same way. Every repo had its own shape. A recipe, a standard, a way things were supposed to be built here and not there. I would explain it. Full session, good results, the agent following the standard like it understood the standard. New session. Same repo, sometimes the new repo. Explain it again. Word for word, close enough. It was not that the agent forgot how to code. It was that nothing from the last conversation traveled with it into this one. Nothing said in the chat survives it I kept treating this like a training problem. Say it clearer. Say it earlier. Say it with an example next time. None of that was wrong exactly. It was aimed at the wrong layer. The actual mistake was assuming correction compounds the way it does with a person. It does not. A person carries what you told them into the next conversation without being asked to. An agent starts the next session exactly where it started the first one.

Apple's new Upgrade program is here, allowing you to lease select models of iPhones, iPads, Macs, and Watches with a relatively low monthly payment. The company promises you won't pay more than the full price of the device over the course of the one- to three-year lease, and in some cases, you'll pay hundreds of […]

When you open a website, send a message, or watch a YouTube video, many technologies work together in the background. As a beginner in DevOps, understanding these basic networking concepts will help you understand how applications communicate over the internet. **What Is a Protocol? A protocol is a set of rules that devices follow when communicating with each other. Think about two people having a conversation. For communication to be successful, both people must speak the same language and follow simple rules, like taking turns to talk and listening before responding. Computers work the same way. They use protocols to know how to send, receive, and understand information. Without protocols, computers would not be able to communicate with one another. **2. What Is Packet Switching? **Imagine you want to send a large book to a friend. Instead of sending the entire book in one huge package, you divide it into many smaller packages. Each package travels separately and, when they all arrive, your friend puts them back together in the correct order. This is exactly how the internet works. When you visit a website, your data is broken into small pieces called packets. Each packet travels across the internet and is reassembled when it reaches its destination. This process is called packet switching, and it makes internet communication faster and more reliable. **3. What Is an IP Address? **Every house has a unique address that helps delivery drivers know where to deliver packages. Similarly, every device connected to the internet has a unique Internet Protocol (IP) address. An IP address helps the internet know exactly where information should be sent. Without an IP address, websites, computers, and phones would not know where to send or receive data. **4. What Is TCP/IP? **Breaking data into packets is not enough. The packets must also arrive correctly. This is where TCP/IP (Transmission Control Protocol/Internet Protocol) comes in. IP finds the correct destination for ea