AI 资讯
Google Discover is getting an AI chatbot-tuned feed
Google will soon allow you to customize your Discover feed by describing what you want to see. The new feature, rolling out to the Google app in the "coming days," will use AI to automatically tweak your feed and "remember" your preferences for future visits. You'll find the option within the three-dot menu on your […]
产品设计
The Enhanced Games — tech’s steroid extravaganza — didn’t pay off, as company posts $60 million loss
An effort to transform the world of sports through steroid use doesn't exactly seem to be bearing financial fruit.
创业投融资
Castelion hits $13B valuation to mass-produce hypersonic missiles
Founded in 2022, Castelion set out to manufacture hypersonic weapon systems at a lower cost and at faster speeds than traditional defense primes.
AI 资讯
Mark Zuckerberg bought an Irish castle
Meta CEO Mark Zuckerberg now owns an actual castle. Zuckerberg and his wife Priscilla Chan bought Strancally Castle and its 440-acre estate in Ireland "several weeks ago," according to The Irish Times. While the exact price of the purchase is unclear, the family could have paid "anywhere between €20 million and €30 million" for the […]
AI 资讯
Cleaning Up Feature Flags: The Art of Not Leaving a Mess
You said you'd remove that flag after launch. You lied. It's been six months and the flag is still in appsettings.json , the if statement is still in your controller, and nobody remembers which state is "on." This is how codebases turn into haunted houses. Why Cleanup Matters Dead feature flags are technical debt with teeth . They add branches to your code that nobody tests. They confuse new developers who don't know the history. They inflate configuration files and make deployments harder to reason about. And they compound. Every flag you don't clean up makes the next cleanup harder because the cognitive load of understanding the system keeps increasing. The cost of removing a flag is lowest immediately after the feature ships, while everyone still remembers what the thing does. Six months later? Good luck. Track Every Flag You can't clean up what you can't find. Maintain a registry of every active feature flag with: Name Purpose Owner Date created Expected removal date This can be a spreadsheet, an issue tracker, internal documentation, or a dedicated feature flag management system. The format doesn't matter nearly as much as the habit. When you add a flag, add it to the registry. When you remove a flag, remove it from the registry. If your registry contains flags with no owner or no removal date, congratulations: you've found your next cleanup project. Set Expiry Dates Every flag should have a planned removal date when it's created. For example: Release toggles: Remove shortly after the feature ships. Two weeks is a reasonable default. Experiment toggles: Remove when the experiment concludes. Ops toggles: May be permanent by design. Permission toggles: May also be permanent, but document that explicitly. If a flag has been alive longer than its planned expiry and nobody deliberately extended it, it's already a zombie. Treat it accordingly. Make Cleanup Part of the Process Flag cleanup doesn't happen unless someone owns it. Add a cleanup step to your feature compl
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The investor’s guide to TechCrunch Disrupt 2026: Everything you need to know
Year after year, investors who've explored the Expo Halls, met founders, and learned from peers have proven why you need to be on the ground at Disrupt this year.
AI 资讯
Framework says it’s addressing a BIOS update that bricked some of its older laptops
Some Framework Laptop 13 owners with last-gen AMD chips have reported that a recent BIOS update is bricking their laptops on both Windows and Linux. The BIOS update causing this issue is version 3.20 for Ryzen 7040-series mainboards, released back in July and still available on Framework's site at the time of this writing. Upon […]
AI 资讯
Ramp launches its own AI model router, called Router
Ramp has launched its own AI model routing service, dubbed Router, that lets users and companies use and switch between various large language models via an API.
创业投融资
The 2026 Startup Battlefield 200 is here — see who made the cut
We’re thrilled to unveil the 2026 Startup Battlefield 200, our annual handpicked list of the 200 most promising early-stage startups from around the world.
创业投融资
There are less than 48 hours to save up to $300 on your TechCrunch Disrupt 2026 ticket
If you’ve been circling around Disrupt, then now’s the best time to lock in your pass and start getting ready to join the rest of the startup community gathering in San Francisco from October 13-15 at Moscone West!
AI 资讯
Speculative Decoding and MTP: Why Guessing Is Free
I saw "MTP round-trip" on a checklist for a Megatron conversion pipeline and had no idea what it meant. Two acronyms, one hyphen, apparently important enough that someone had listed it as a thing to verify. Working out what it meant took me somewhere I didn't expect. The interesting part turned out not to be MTP at all — it was the reason speculative decoding works in the first place, which rests on a fact about hardware that I had backwards. TL;DR Generating text is slow because it's sequential: one full forward pass per token. But a forward pass over five tokens costs about the same as over one. Generation is bottlenecked by moving weights, not by arithmetic. Speculative decoding exploits that: something cheap drafts k tokens, the big model verifies all of them in one pass. It is exact , not an approximation. Same output distribution as normal decoding. MTP (Multi-Token Prediction) is one way to produce those drafts — a small module trained into the model itself. MTP has two separate lives: a training-time auxiliary loss you can throw away, and an inference-time draft head you can't. Why generating text is slow To produce token N+1, the model needs token N. There's no way around that ordering — it's what "language model" means. So generating 100 tokens means 100 full passes through the network. For a model like GLM-5.2, that's 78 layers, 100 times over. The obvious conclusion is that generation is 100 times as expensive as reading the prompt. The obvious conclusion is wrong, and the way it's wrong is the whole point. The part that got me A forward pass processing one token and a forward pass processing five tokens take roughly the same wall-clock time. I had assumed compute scaled with tokens. It doesn't, because compute isn't the bottleneck. Every forward pass has to read the model's weights out of memory and into the compute units. That's hundreds of gigabytes moving across a memory bus, and it happens whether you're processing one token or fifty . The actual ar
AI 资讯
This app makes the Pixel 11’s HiLight feature actually useful
Google's new HiLight notification LED on the Pixel 11 Pro is nearly useless. Out of the box, the only two things it can glow for are when the phone is face down and you're interacting with Gemini, or when you get a call from a favorite contact. And even then, it can only glow one […]
AI 资讯
Amazon’s drone deliveries are landing in pools and ponds
Amazon's speedy drone delivery service will soon reach 500 cities across the US - but that might just mean there are more pools to drop packages into. On Wednesday, ABC7 News Bay Area shared a video showing an Amazon delivery drone hovering over a customer's pool in Texas, before opening its hatch and plopping the […]
开发者
Australia passes law to charge tech companies levies unless they reach deals with news publishers
Meta, Google, TikTok and LinkedIn will have to pay millions to support local news outlets under Australia's new rules.
开发者
Here’s what data Comcast says its motion-detecting routers collect
Comcast announced a new platform this week called Xfinity Shield that includes the option to let customers turn their routers into motion sensors. Many people reacted with fear and anger. "I am not enabling this. I am also seriously considering replacing my leased gateway with my own equipment, because a device I do not control […]
产品设计
This tiny guitar amp is the most unhinged distortion pedal I’ve ever used
Is Amp Crash a guitar amp or a guitar pedal? Yes. Death By Audio's latest is, in fact, both. While it's in a guitar pedal enclosure, Amp Crash is actually a tiny 3-watt amp hooked up to a 2-inch speaker. You can even connect an external speaker if you want. This isn't a digital re-creation […]
AI 资讯
Welcome to the AI crisis in math
Today on Decoder, I’m talking with Robert Hart, The Verge’s London-based AI reporter, about what AI is doing to the field of mathematics and the existential crisis many lead mathematicians are having about it. OpenAI just published a set of solutions to longstanding problems in math that went off like a bombshell in the field. […]
AI 资讯
Reverse-lookup service exposed millions of photos of people’s faces
People-search tool ClarityCheck left database containing more than 9M image files exposed.
开发者
I bought DJI’s banned camera — it was cheap and easy
As a kid, I always imagined the "black market" would be like the movies: Shady vendors hawking illicit goods along dusty streets. But if you want a banned DJI Osmo Pocket 4 or Pocket 4 Pro camera in the US, you can just reach for your phone. They're on Temu, AliExpress, eBay, Mercari - even […]
AI 资讯
Slack is launching collaborative vibe-coding channels
Slack is introducing dedicated channels where teams can vibe-code together with AI agents instead of jumping between different tools and conversations. The Slack Code launch includes open, project-specific code channels with dedicated user tabs, alongside features that compare coding changes and preview HTML output before the project is shipped. "With Slack Code, when you have […]