找到 11776 篇相关文章
After first being announced in December 2024, Lux Optics has finally released the latest version of its Halide camera app for the iPhone and iPad. The Halide Mark III app's most compelling feature is a new film simulation engine and a collection of five new Looks that can be applied to photos as they're taken. […]
Each brain is unique, and from the best generations that I save, a worm can pick random brain files to use, letting each worm be completely unique and feel alive. This is for Bonk Universe. submitted by /u/Lanse012 [link] [留言]
After announcing tests of premium subscriptions for Facebook, Instagram, WhatsApp earlier this year, TechCrunch and Bloomberg report that Meta is launching a global rollout over the next few weeks and is also starting to test subscriptions for Meta AI. With the new offerings, Meta joins many other tech companies in changing up its subscription plans […]
Payroll service provider Remote recently surpassed $300 million in annual recurring revenue (ARR) and became cash-flow positive, thanks to a 50% increase in revenue per employee resulting from AI adoption.
. https://x.com/ethanCaballero/status/2059686905105563907 . submitted by /u/Glittering_Author_81 [link] [留言]
“I don't want recommendations! I know what I want to watch."
In Las Vegas, the blazing sun beats down on a makeshift Olympic-length pool. Cody Miller stands on the starting block of lane one. His arms are raised in victory. MC Hammer's "U Can't Touch This" thumps over the loudspeakers as he rips off his swimming cap, throwing it to the ground. Miller lets out a […]
Four-year-old handheld is saddled with an unfortunately modern price tag.
submitted by /u/tanin47 [link] [留言]
submitted by /u/laptou [link] [留言]
The black hole accounts for over two-thirds the mass of the object it inhabits.
When LinkedIn engineers encountered short-lived, recurring outages where the database powering their user feed became unavailable and then recover without leaving helpful traces, they had to devise a novel approach to uncover the root cause using off-CPU profiling with eBPF. By Sergio De Simone
Meta is rolling out paid subscription plans for Instagram, Facebook, and WhatsApp worldwide, while also testing new AI, creator, and business-focused offerings under its broader “Meta One” subscription brand.
Thea Energy's pixel-inspired magnets could give its power plant plans a boost. The fusion startup hopes to get a commercial reactor working by 2034.
Director describes how his views on existence of aliens have changed, interspersed with footage from film.
I recently wanted to see whether an AI agent could self-improve a harness to solve terminal bench tasks. It’s possible for an AI agent to propose a meaningful one-time change to the harness, but after experimenting with this for a couple of weeks, I think the continuous self-improvement is mostly an experiment-systems problem. The system needs a way to decide what kind of improvements can safely compound. Turns out there's a lot of parallels to coding-agent customization (e.g. SKILLS.md etc..) too. I wrote my experience of building such system here, including the successful and failure attempts during the process, and how I approached the self-improvement loop. It's not intended as a benchmark claim but more of a systems/research writeup. https://www.henrypan.com/blog/2026-05-25-self-improvement-harness/ submitted by /u/Megadragon9 [link] [留言]
PR exec says Govee "did not meet the standard required."
Cybercriminals used the Glassworm botnet to infect open source software projects with malware, and in turn hack the developers and companies that use that software.
Motorola says that recently discovered behavior, which saw some of its phones sending users to an affiliate tracking website before opening the Amazon app, was "unintended" and has been "promptly corrected." The company didn't explain how the error was introduced in the first place. "Recently, Motorola acted quickly to resolve an issue that was identified, […]
Last month NVIDIA released SOL-ExecBench , a new benchmark of 235 production CUDA kernels lifted from DeepSeek, Qwen, Gemma, and Kimi. We took several top-ranked AI-generated submissions and tried using them in production workloads. Many of them broke, sometimes in surprising ways. One of those kernels is the fused embedding-gradient + RMSNorm backward pass, which runs at the end of every transformer training step. We took the fastest submission on the benchmark for it, and dropped it into the training loop of a small transformer. The kernel had passed the benchmark's verifier with room to spare. But in our training run, the loss diverged and never recovered. We started debugging. Replace the dataset distribution with uniformly sampled tokens, the divergence vanishes. Swap SGD for AdamW, also vanishes. This is the worst kind of bug for research. Symptoms and masks both look exactly like "the idea didn't work". It's the type of bug that can make researchers spend a long time debugging without knowing what's at fault: the dataset? the research idea? the architecture? or the implementation itself? Turns out, the actual bug is that the embedding-gradient half of the kernel accumulates in bf16 instead of fp32. Embedding backward sums many small gradient contributions into each token's row of the embedding matrix. With uniform random tokens the contributions spread evenly and bf16 precision is enough. In real text, a handful of token IDs end up with thousands of contributions: the small ones round to zero against the growing accumulator, and the high-frequency rows drift. AdamW's per-parameter normalization absorbs the resulting multiplicative bias, so under AdamW the same drift is invisible in the loss. The other broken submissions had different bug shapes (all interesting). More examples in our blogpost . submitted by /u/laginimaineb [link] [留言]