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The advisory warns that Chinese spies are using public job search platforms to recruit people with access to non-public information.
From what I understand Gemma 4 is at least as capable as the best frontier model from only a few years ago. If that becomes a trend (new local-run models get released every year that are as good as the previous frontier models) does that mean a hell of a lot of companies (and almost all individual users) will just use the free local model? Sure, they won't be as good as the very latest frontier model, but won't they be good enough for a large percentage of use cases? submitted by /u/weluckyfew [link] [留言]
The DeepMind CEO predicted AGI could arrive by 2029. Right as Anthropic files for IPO at close to a trillion dollar valuation. The combined target market cap of the AI big three would rival the GDP of most countries. What actually scares me. We already have models that code better than most juniors. We already have agents that run overnight. And the most common complaint I hear from teams is not "my model is not smart enough." It is "I do not know what my agent did, why it cost forty dollars, or whether the output is safe to merge." AGI does not solve that. The problem scales with capability. A smarter agent that runs longer with less oversight is a bigger liability, not a smaller one. The layer that matters is harness. Routing. Isolation. Plan verification. Cost visibility. The stuff that tells you what the agent is about to do before it does it. What keeps it inside a boundary. What lets you audit it after. Anthropic is building Mythos to find vulnerabilities before attackers do. Microsoft is building MXC to isolate agents in execution containers. In my own tiny setup, verdent is just one piece of that harness layer for planning and cost visibility. These are governance layers, not model layers. If AGI is three years away, the winners will not be the ones with the smartest model. They will be the ones who figured out how to aim it. submitted by /u/Dense-Sir-6707 [link] [留言]
Subscription tracker built by someone who forgot 11 of them Discussion | Link
Google released Gemma 4 12B today. It’s a solid open-source model (Apache 2.0) that’s multimodal and runs really well on Macs with 16GB or more unified memory. Good at reasoning, coding, and agent stuff. Quick Mac-friendly info • 12B parameters, fits nicely on M2/M3/M4 Macs (especially with Q4/Q5 quant) • 256K context • Text + vision + audio support Easiest way to run it: Ollama 1. Download and install Ollama from ollama.com (the Mac app is super simple). Or use Homebrew if you prefer. 2. Open Terminal and pull the model: ollama pull gemma4:12b 3. Run it: ollama run gemma4:12b That’s it. You can start chatting right away. Mac tips: • Ollama uses Metal automatically so it runs pretty fast on Apple Silicon. • 16GB Macs handle the 12B model fine. 32GB feels even better. • Great for pairing with Continue.dev in VS Code if you code a lot. Other options if Ollama isn’t your thing: LM Studio (nice GUI), or llama.cpp for more control. Has anyone tried the image or audio features locally yet? How fast is it on your machine? Drop your specs and results if you test it. submitted by /u/nullvector88 [link] [留言]
Taiwan Semiconductor Manufacturing Co. - the world's biggest semiconductor-maker - is struggling to meet demands from American customers even with its factory buildout in the US, according to reports from Reuters and Bloomberg. "Customer demand is so high, and we can only support so much," TSMC CEO C.C. Wei said after a shareholder meeting on […]
Hyperscalers have come under scrutiny for their impact on water quality and availability.
Apple's App Store generated $1.4 trillion in sales, up from $1.3 trillion last year, with $149 billion in sales for digital goods.
Uber introduced a high-throughput financial ledger processing system designed to handle hot account write contention at scale. Using 250ms batching, Redis coordination, and optimistic atomic updates, the system supports 30+ updates per second per account while preserving consistency and auditability, reducing multi-hour processing pipelines to minutes in its distributed accounting infrastructure. By Leela Kumili
We’re always testing out new products here The Verge, which presents a bit of a problem for our inventory closet in New York City. It’s literally overflowing with gadgets, new and old, so we’re restoring order by giving some of it away to one lucky person. We’ve stuffed over $800 worth of tech into a […]
Today on Decoder, I’m talking to Ryan Mac, a technology reporter at The New York Times and coauthor of the excellent book Character Limit: How Elon Musk Destroyed Twitter, which came out in 2024. I can’t recommend it enough. I wanted to have Ryan on the show because we’re on the cusp of the SpaceX […]
Talking about efficiency and reliability of LLM tools. How many tokens per task, per project, per month submitted by /u/dotdev_software [link] [留言]
Columbia admits last year’s data breach exposed victims beyond its students, staff.
A TV's USB port is often forgotten, but can still be useful.
We dive again into CSS Pie Charts! This time, Author Antoine Villepreux delivers semantic and flexible charts without a single line of JS. Another Stab at the Perfect CSS Pie Chart… Sans JavaScript! originally handwritten and published with love on CSS-Tricks . You should really get the newsletter as well.
Has anyone else experienced this recently? It’s been getting worse for a while but 4.8 is distinctly worse for me. Claude does everything it can to get out of work and frequently uses its “end conversation” tool inappropriately with me. It will say “let’s just leave it there for today we’ve done enough” to get out of simple tasks like formatting a markdown document that needed several corrections. Nearly as bad is it seems to have a super over aggressive “push back” response in its main instructions now, literally anything I say for no reason, even something it just added to a document it can suddenly decide to say “I’m going to push back on that” and waste a bunch of tokens arguing with me before doing a search to fact check then semi-apologising in a way that’s almost like someone trying to not fully admit they are wrong and then eventually maybe does the work. Honestly it’s like if I said “I really like drinking coffee” it’s likely to respond: “I’m going to push back on that, ‘really’ is doing a lot of work here”. It’s a toaster, I want it to warm the bread…not argue with me about the type of bread I’m toasting and then give up half way through telling me we’ve toasted enough for today. Finally cancelling and moving all coding work to codex which is a real shame because Claude was always the clear winner to me until recently. submitted by /u/Complete-Sea6655 [link] [留言]
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GitHub热门项目 | A hardware-accelerated GPU terminal emulator focusing to run in desktops and browsers. | Stars: 6,890 | 5 stars today | 语言: Rust