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I replaced aaPanel/OpenLiteSpeed with Caddy and shell scripts and turned the process into a benchmark. Two phases (architecture then code), one external code review. The winning model? Not the one you'd expect.
Prime Day is here, and so is our live blog. We'll bring you deals, trends, and commentary throughout Amazon's annual summer sale.
Here is a number that should reframe how you think about the agent economy: in roughly one year, AI agents moved about $73M across 176 million machine-to-machine transactions on a single exchange, at an average of around $0.31 per transaction , across 100k+ registered agents . Read that again. Agents are not "coming." They are already transacting, at scale, in production, right now. The interesting question is no longer whether autonomous software moves money. It is what those transactions are trusting - and what happens the first time that trust is misplaced. Payments scaled. Settlement did not. Almost all of that volume runs on payment rails. A payment rail does one job, and does it well: it moves a unit of value in one direction. Agent pays a service. Agent tips an API. Agent settles a micro-invoice. At thirty-one cents a pop, the failure modes are invisible - if a transaction goes wrong, you are out pocket change, and you move on. The problem is that a payment and a trade are not the same operation. A payment asks one question: did the money move? A trade asks a harder one: did **both * sides happen - or neither?* When your agent pays for something, there is one transfer and one direction of risk. When your agent trades - my asset for yours, your stablecoin for my token, one chain's value for another's - there are now two transfers that must both complete, or both not. The risk lives in the gap between them. One side sends; the other side is supposed to send back. On a payment rail, "supposed to" is doing an enormous amount of load-bearing work. The hidden assumption Every one of those 176 million transactions made an assumption that nobody had to state out loud: the counterparty will deliver. Between parties who already trust each other - a company and its own agents, two services under one operator - that assumption is fine. It holds because the trust was established off-chain, by humans, before the agent ever ran. But the entire promise of the agent economy i
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WIRED’s favorite Wi-Fi 7 mesh system from Netgear is cheaper than ever on Prime Day.
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At this year's Microsoft Build 2026, Microsoft unveiled a broad set of enhancements to Azure Kubernetes Service (AKS) aimed at making Kubernetes a first-class platform for AI training, inference, and large-scale cloud-native applications. By Craig Risi
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China took the supercomputer crown by relying on CPUs and not GPUs like other models.
I was convinced these devices were just clutter. I was proven wrong.
Emily Wilson’s 2017 translation of Homer’s epic—the first by a woman—was called a woke “abomination” by online reactionaries. Christopher Nolan’s film is facing similar critiques.
At 9PM ET on the night of May 28th, a Blue Origin New Glenn rocket sat on the launchpad at the Cape Canaveral Space Force Station. The craft was in the middle of a hot-fire test awaiting the arrival of Amazon Leo satellites, the first of 24 batches to be shuttled into low Earth orbit […]
Every Prime Day is a good day to make your home smarter, as deals on connected gear proliferate not just on Amazon but all across the web. And this Prime Day is no different. I sifted through hundreds of offers to find the ones that actually stand out — only the deepest discounts on the […]
HP’s OmniBook Ultra 14 is one of the best alternatives to the MacBook Air you can buy right now, and it’s more affordable than many of its Windows competitors.
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Meta's Oversight Board has made several suggestions to make reporting sexualized AI deepfakes easier and more effective for ordinary people.
“I deleted it as a test and it came immediately back,” says one government employee.