标签：#m

Affected users will have to configure their lights and settings all over again.

Netflix has shows and movies. And video games. And live sports. And podcasts. And also, apparently, YouTube videos? For a company that used to seem like the next big thing in TV, it all feels a little frenetic, and maybe a tad desperate. For a company that sees sleep as its primary competitor, it might […]

The launch of free content would allow Disney+ to better compete with free services like YouTube and Tubi, which are capturing a growing share of consumers’ viewing time.

You just have to know where to look on the Steam page.

The Earth may not be that massive, but it still distorts space-time.

Dumb Co sells flip phones that sync to your smartphone, bridging the infinite connectivity of the iPhone and the unrealistic limitations of an early 2000s relic.

How migrating Copilot code review to shared Unix-style code exploration tools reduced review cost by reshaping agent workflows around pull request evidence. The post Better tools made Copilot code review worse. Here’s how we actually improved it. appeared first on The GitHub Blog .

If you were to look up into the night sky, what would you see? Countless points of light, scattered in every direction. Most of what you're looking at are stars. But some of those points are whole galaxies—vast collections of stars, spread across incomprehensible distances, compressed by that distance into a single pinprick of light. And what you can see with the naked eye is only a small fraction of what's actually out there. I want to use this as a way to offer you a way of thinking about how large language models work. Just an analogy, not literally what's happening inside the mathematics—that's not my forte. My hope is that it captures something true about the mechanics, and more importantly, it gives you a mental model you can actually use when you're working with these systems. About two years ago, I was wrestling with finding a way of explaining what an LLM does. My first analogy was that of a dictionary. The naive view was that a dictionary uses words to define other words, and an LLM holds a matrix of words with weights that describe their relationships to each other. So the parallel seemed natural: both systems work through relational structure. However, a dictionary gives you denotation—the surface-level meaning. It's a lookup tool for individual words, not a model of language itself. And critically, you have to already understand language before a dictionary is useful to you at all. The analogy didn't capture what was actually happening in the weight relationships—the distributional semantics, the contextual patterns that let an LLM generate coherent text. Ok, so back to galaxies, when you look up at the night sky, you're not seeing distance—you're seeing direction. That galaxy over there, the one that looks like a point of light, could be millions of light-years away, but what matters for our analogy isn't how far it is. It's which way you're looking. And when you point yourself in that direction and venture toward it, you discover it's not a point at a

I run ezyZip , a browser-based archive tool, so "which format should I use?" is a question I field constantly. The honest answer is usually "it depends," which satisfies nobody. So I stopped hand-waving and measured it. We benchmarked 42 archive and compression formats, spanning four decades, from 1984's Unix compress through today's Zstandard, Brotli, and context-mixing paq8px. Everything ran against the same realistic 55 MB corpus, every archive was round-trip verified byte for byte, and the whole thing reproduces from a single command. Here's what came out of it, and what I'd actually reach for. The setup Most compression benchmarks measure raw codecs on standardized corpora like Silesia. That's the right call for algorithm research and the wrong call for answering "what should I zip my folder with?" I wanted end-user formats, real CLI tools, container overhead and all, on data that looks like an actual folder. So the corpus is deliberately mixed: about 11 MB of text, 15 MB of office documents, 16 MB of images, and 13 MB of video, all public domain so it can be committed and redistributed. That mix matters. Office documents ( .docx , .xlsx , .pptx ) are themselves ZIP containers, so they stress how a tool handles already-compressed data. The JPEG and H.264 media is near-incompressible and sets an honest lower bound. The plain text and uncompressed images are where formats actually separate. Two rules kept it fair and practical: Only two levels per tool: its default, and its one "maximum compression" dial. No method tuning, no dictionary sizes, no thread-count games. That's what a normal person can reach. Everything is round-trip verified. Each archive gets extracted, and every file is hashed with SHA-256 against the original manifest. Exit codes are not trusted. That last rule earned its keep immediately. The verification gotcha On the image category, a 1985-era ARC build produced an archive that its own extractor happily unpacked, while printing a CRC warning an

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Disney Plus is considering making some of its content free to watch, according to a report from Business Insider. A source tells the outlet that Adam Smith, Disney's chief product and technology officer, mentioned a free streaming tier during the company's town hall on Thursday. It's not clear which shows or movies the purported free […]

Cloudflare has recently introduced temporary accounts that let AI agents deploy Cloudflare Workers immediately, without first creating or authenticating with a permanent account. If left unclaimed, the accounts and their deployments expire automatically after 60 minutes. By Renato Losio

Yes, Sarah Wynn-Williams violated her deal to stay silent. But the power disparity bolsters the view that Meta is a heartless bully.

Amid signs of slowing engagement, Netflix is reportedly considering launching "always-on" live channels, giving subscribers something to tune into 24/7.

The Trump phone was never a serious phone. Not when it was announced last June, in dodgy renders and with an incoherent spec sheet. Nor when Trump Mobile admitted - just two weeks later - that it wouldn't be made in the US. Not even when the company revealed the final phone, first to me […]

The tech giant is in breach of the Digital Services Act by focusing on features like infinite scroll, autoplay, push notifications, and the highly personalized recommendation algorithms, the European Commission said.

A third ransomware negotiator has been jailed for helping a notorious ransomware group extort American victim companies into paying the hackers.

Open source AI is booming, according to Hugging Face CEO Clem Delangue. The company has grown into something like a GitHub for AI in recent years, where AI builders can share and download open models and datasets, now used by roughly half the Fortune 500. Delangue has seen the same story play out again and again: companies start […]

This is Optimizer, a weekly newsletter sent from Verge senior reviewer Victoria Song that dissects and discusses the latest gizmos and potions that swear they're going to change your life. Opt in for Optimizer here. Bryan Johnson, best known as the man who wants to live forever, has an incurable autoimmune disease. The internet's most […]

Hello my friends! My protocol pals! My computational compadres! I'm David, a technology reporter and cohost of the Waveform Podcast. I'll be hosting a subscriber-only "AMA" today at 11AM PT / 2PM ET. For the next six weeks, I'm filling in for senior reviewer Allison Johnson, who you are all likely very familiar with. That […]