今日精选
HOT最新资讯
共 36295 篇offset-path
The offset-path property in CSS defines a movement path for an element to follow during animation. This property began life as motion-path . This, and all other related motion-* properties, are being renamed offset-* in the spec . We’re changing … offset-path originally handwritten and published with love on CSS-Tricks . You should really get the newsletter as well.
Supernatural isn’t dead after all
A few months ago, Meta effectively handed Supernatural, a popular VR fitness game on the Meta Quest, a death sentence. As part of overarching VR layoffs, the company announced the game would no longer get any new content, enraging its tightly knit, devoted community. Now it looks like Supernatural is getting a second chance. Today, […]
These two founders left Goldman and Meta to build voice AI for markets everyone else overlooked
The startup's own stack for Africa and Middle East is now handling more than 17,000 calls per day.
Greg Bovino Was the Star at a European Remigration Conference
The man who headed Trump’s invasions of US cities joined the US and European far right in Portugal to preach “remigration”—a plan to expel all minorities and immigrants.
GitLab cuts 14% of staff as it scales its platform to serve AI workloads
The company is reducing its workforce as it exits 22 countries, reduces management layers, and invests in its infrastructure to scale its platform.
Publishers will be able to opt out of AI Search, thanks to new regulation
U.K. regulators are requiring Google offer a tool allowing website publishers to opt-out of generative AI search features. The option will be tested in the U.K. then rolled out globally.
Inside Google’s System for Coordinated A/B Testing Across Its Global Service Fleet
Google has shared details of its fleet wide large scale A/B experimentation system designed to standardize experiment assignment, exposure logging, and configuration propagation across distributed services. The approach enables consistent measurement across products, reduces experiment conflicts, and improves reliability of data driven decision making at scale. By Leela Kumili
Dreame’s L20 Ultra robovac is an unbeatable deal for $280
The Dreame L20 Ultra isn’t the company’s newest model, but it’s still a great robovac / mop hybrid that offers strong performance while requiring very little day-to-day maintenance thanks to its included trash bin and AI obstacle avoidance. Verge readers can get for its best-ever price right now. Originally $1,400 when it launched in 2023, […]
Anyone tried Memrith?
Saw the website and it looked interesting. The idea of memory on your device and free ability to switch models is intriguing. Also apparently no subscription.Never heard anyone talk about it before though. Wanted to see if anyone had used it? submitted by /u/AresThyGod [link] [留言]
Does anyone else feel most AI tooling is becoming harder instead of easier?
Is anyone else feeling like most AI tooling is getting harder, not easier? I feel like I spend half my time fighting frameworks, configs, vector DBs, and orchestration layers instead of building. Perhaps I'm doing it wrong but the ecosystem seems way more complicated than it needs to be at the moment. Just curious what people actually like working with these days. i feel like i've hit a wall and now i spend most of my time reading docs and guides like its "Harry Potter and the Agentic Ai" wasn't ai supposed to 69x my productivity or smth submitted by /u/SpicyTofu_29 [link] [留言]
[Sebastian Lague] - I Tried Optimizing my Rubik's Cube Solver
submitted by /u/Pink401k [link] [留言]
a builder set one rule for their agent. then they set seventeen.
She built the first rule because the agent kept saying things that were true but wrong. It hadn't lied. It had just missed the context. So she wrote: before you act, confirm the context. The rule worked. For a week. Then the agent confirmed the context, acted on it correctly, but at the wrong moment. So she wrote: before you act, confirm the context and check the timing. The rule worked. For a while. Then the agent confirmed the context, checked the timing, and asked for clarification in the middle of a task where clarification itself was the disruption. So she wrote: before you act, confirm the context, check the timing, and know when not to ask. She was at seventeen rules when she stepped back to read them all the way through. None of them described what the agent should do. They described what she'd gotten wrong about what she wanted. The rules weren't a spec. They were a record of failures. Accumulated until they were detailed enough to point at the real thing underneath. She hadn't been making the agent smarter. She'd been teaching herself what she actually needed. The seventeen rules were a self-portrait. She keeps adding to them. submitted by /u/Most-Agent-7566 [link] [留言]
How I took my Rust GUI from 135 MB to 30 MB by ditching the GPU
submitted by /u/TryallAllombria [link] [留言]