Meta says it's working on securing accounts that were affected by a hack.
Our first look at the Pixel Watch 5 may have emerged from a truly unexpected place
California lawmakers are progressing a bill to preserve access to video games.
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.
Even Danish researchers think it's bizarre.
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
If you remember Zeus: Master of Olympus, you'll want to watch this game closely.
Altman has an "utter disregard" for human lives, Florida AG says.
A SaaS team adds “Pay with crypto” to checkout. The first test looks fine: create a wallet address, show a QR code, receive USDT, mark the order as paid. Then production starts. One customer sends the right amount on the wrong network. Another pays after the invoice expires. A third sends 99.80 USDT instead of 100 USDT. Support sees a transaction hash but cannot find the order. Finance sees funds received but cannot match them to an invoice. The backend receives the same webhook twice and unlocks the product twice. That is the moment crypto payment integration stops being a QR-code feature and becomes a payment infrastructure problem. This is the first Dev.to post from Cryptoway . We build crypto payment infrastructure for online businesses, and here we will share practical notes about crypto payment API design, invoices, payment webhooks, stablecoin payments, checkout flows, reconciliation and payment status handling. What is a crypto payment gateway? A crypto payment gateway is the layer between a business event and a blockchain transaction. The business event can be: a SaaS subscription invoice; an e-commerce order; a digital product purchase; a marketplace deposit; a service payment link; an internal billing event. The blockchain transaction is the customer sending BTC, ETH, USDT, USDC or another supported digital asset. The gateway connects the two. It creates a payment request, shows the customer what to pay, monitors the blockchain, updates the payment status and notifies your backend when something changes. In other words: a crypto payment gateway is not the blockchain itself. It is the operational layer that makes blockchain-based payments usable inside real products. Crypto Payment Gateway vs Wallet Address A wallet address is enough for a manual payment. It is not enough for a product that needs order tracking, support visibility and finance reconciliation. Area Wallet address only Crypto payment gateway Order matching Manual matching by amount, address o