AI 资讯

Amid a raging Ebola outbreak, officials "urgently accelerate development" of vaccines.

Pricey Instagram handles were stolen and resold before Meta patched the exploit.

Intended for 10-year (plus hopefully) deployment lifetime on $10-30 of silicon. The kind of thing you screw to a wall, plug in, and walk away from for a decade. No telemetry, no phone-home updates, no external dependencies. Storage decisions get a sanity checked against NVS wear... a write-per-PUBLISH would shred the flash in months, so the retained store and in tables that stay in PSRAM. Its heavily written with AI and borrowed a lot of visuals from Tasmota. Not for production use yet (been cur

If you’re planning to travel this summer, both a Bluetooth tracker and a personal safety device can come in handy, especially if you’ll be exploring on your own. The Pebblebee Halo combines those two gadgets into one, and it’s currently on sale for $49.99 ($10 off) at Amazon, which is the best price we’ve seen. […]

Hey everyone, hope this is ok to post here. I built a free EU AI Act risk assessment tool and would love some feedback from people who actually know this space. You fill out a 10-question form describing your AI system, it classifies your EU AI Act risk tier, and emails you a PDF report with your applicable Articles and priority actions. Takes about 2 minutes, no account required. https://assessment.aiella.com Eventually I want to build a monitoring SDK that works like a Python library and automatically documents compliance of the technically measurable requirements at inference time. Looking for design partners for that down the road. Genuine feedback welcome, especially from anyone who has been through a real EU AI Act compliance process. Happy to answer questions about the classification methodology or the AWS architecture behind it. submitted by /u/aiandi [link] [留言]

The lawsuit partially revolves around a shooting at Florida State University last year, and ChatGPT's alleged role in the incident.

Google's new "24/7" AI agent, Gemini Spark, can be shockingly good at doing things on your behalf. But I'm not sure it's worth the financial cost and potential privacy tradeoffs. The company gave me access to Spark last week. Google advertises Spark as an AI agent that can take on tasks and work on them […]

All your messaging apps in one window — with private AI Discussion | Link

Meta says it's working on securing accounts that were affected by a hack.

Meta's AI support chatbot helped hackers hijack Instagram accounts, as reported earlier by 404 Media. In a video shared on Telegram, a hacker shows how they could take over an account by asking Meta's chatbot to switch the email associated with someone else's profile and then reset the password. The issue, which Meta says has […]

Pat Casey and Josh Miller, the pair behind the Sonic the Hedgehog trilogy, are penning the script for the Streets of Rage movie.

Some news: The Vergecast is now a daily podcast! Starting today, we'll be posting every weekday, with even more gadgets and rankings and conversations and feelings and podcasts-within-podcasts. We're excited for all the ways this new schedule lets us tell new kinds of stories, experiment with new tech and new formats, and involve you even […]

It's one thing to leverage AI for humanity's progression. And another to destroy it. Know the difference. submitted by /u/Ok_Charge_7285 [link] [留言]

You’ve built your model, your training code is containerized, and you’re ready to scale up on Google Kubernetes Engine (GKE). You go to provision your nvidia-h100-80gb node pool and... QUOTA_EXCEEDED. It’s one of the most common (and frustrating) roadblocks in modern AI development. High-end accelerators like H100s, A100s, and TPUs are in massive demand, and securing permanent, on-demand quota for them can be difficult. But a lack of on-demand quota doesn't mean you're out of options. GKE provides two powerful, cost-effective strategies for acquiring these scarce resources when you can't get standard, on-demand instances: Spot VMs and the Dynamic Workload Scheduler (DWS) . Let's break down what they are, when to use each, and how to implement them. Strategy 1: Spot VMs Spot VMs are Google Cloud's excess compute capacity sold at a massive discount, up to 90% off the price of standard on-demand VMs. They are perfect for workloads that can be interrupted. The catch is that Spot VMs have no availability guarantee. Google Cloud can "preempt" (i.e., terminate) them at any time if that capacity is needed for on-demand customers. GKE gets a 30-second warning before the node is terminated. Kubernetes uses this window to gracefully shut down your application (giving non-system pods up to 15 seconds to wrap up) before the node vanishes. When to use Spot VMs for accelerators Spot VMs are ideal for workloads that are: Fault-tolerant and stateless: Your application can handle a node vanishing and having its pods rescheduled elsewhere. Batch processing: Jobs that can be easily restarted or have checkpointing built-in. CI/CD pipelines: Running tests or builds that don't need 100% uptime. How to use Spot VMs in GKE You can easily add a Spot VM node pool to your GKE Standard cluster. The key is to use Spot VMs for your workers, not your critical system pods. Create a dedicated Spot VM node pool: When creating a node pool, simply add the --spot flag and apply a taint so standard pods

Hi all, I'm excited to show off Textile, a desktop app I recently built. Textile can combine bits of text using various inputs, such as commands on your computer, the contents of your clipboard, and hard-coded strings that you provide. It lets you carefully build up and modify a dynamic string, step by step, until it's exactly how you need it. The saved steps can then be executed on demand, with the click of a button or using a keyboard shortcut. I built Textile because I was often constructing

Altman has an "utter disregard" for human lives, Florida AG says.