开发者
Microsoft’s Clippy-like Mico character is no longer the face of Copilot
Microsoft Copilot will no longer show its emotive yellow blob, Mico, when you use the chatbot's voice mode. In a support page, Microsoft says it's going to move Mico to its Learn Live platform, where the avatar will have "more to react to," as reported earlier by GeekWire. Mico launched in Copilot's voice mode last […]
AI 资讯
Mark Zuckerberg’s AI Manifesto Is 6,500-Words—and Barely Says Anything
AI is shifting the culture, from tech CEO manifestos to 1 am job interviews. We unpack some of the latest, along with the top findings from Black Hat and Defcon, this week on Uncanny Valley.
AI 资讯
The Trump admin will start letting private firms launch international cyberattacks
The Trump administration is launching a new program that will allow private firms to perform cyberattacks against foreign criminals, as reported earlier by Bloomberg. The private firms would operate "under the control and oversight" of the federal government, giving them permission to surveil and disrupt criminal networks, according to a presidential memorandum published on Wednesday. […]
AI 资讯
Ukrainian drones wipe out entire US tank brigade in live war game
Ukrainian drone pilots teach the US military and NATO hard battlefield lessons.
开发者
Pet owners say smart pet feeder outage led to furry ones going unfed
"I've lost trust ..."
AI 资讯
Meta adds AI screening to detect WhatsApp scams
Meta is launching an optional Scam Alert feature on WhatsApp that uses on-device machine learning to flag suspicious messages. Earlier this year, Meta also launched scam detection for device linking requests on WhatsApp. The new Scam Alert feature, which is rolling out in a limited beta, shows users a warning if a chat seems like […]
AI 资讯
The Corvette Grand Sport X delivers Porsche 911 performance for a fraction of the price
My drive of the 2027 Corvette Grand Sport X began under oily black clouds, a torrential weather front releasing its grip on Manhattan - an inauspicious start for any mega-powered sports car. Rain pelted the waterlogged pavement, as I set course for the mountain-man roads of the Catskills, then on to Long Island and New […]
开发者
This is Instagram’s new logo
Instagram has unveiled a new wordmark, moving away from the recognizable cursive typeface it's used over the last decade. The updated wordmark is a strange mix of half-cursive half-print that's somehow less legible than its predecessor. Like, that totally says "Instagzam," right? "The wordmark at the top of the app hasn't changed in 10 years, […]
AI 资讯
Samsung’s $1,900 Z Fold 8 is still vulnerable to pocket lint
iFixit has provisionally given Samsung's Galaxy Z Fold 8 a repairability score of 4 out of 10, which largely hinged on… well, the hinge. In its teardown of the device, iFixit found that because it carries an IP48 ingress rating - meaning it isn't protected against particles under 1 millimeter - dust and sand could […]
创业投融资
Can social media start over? Bluesky’s CEO and COO deliver their case at TechCrunch Disrupt 2026
Bluesky CEO Toni Schneider is joined by COO Rose Wang for a Disrupt Stage session on whether social media can start over and where Bluesky fits into that potential reboot.
AI 资讯
Microsoft is combining its Copilot apps ahead of a ‘super app’
Microsoft is finally beginning to combine its consumer and commercial Copilot AI assistants into a single "super app" interface, starting with the Copilot and Microsoft 365 Copilot apps. Both personal and work accounts will be moved to the new unified app, which recycles the "Microsoft Copilot" name but features an updated app icon. The single […]
科技前沿
Surprise, surprise: CBP officers are misusing surveillance tech
Officers allegedly abused databases that can draw from sources like license plate readers and facial recognition.
AI 资讯
Cats and dogs are missing meals after a popular smart feeder went down
A Petlibro outage is preventing its smart pet feeders and other devices from performing scheduled tasks, like dispensing food. The outage began on Tuesday, with users across Reddit reporting that their smart feeders, litter boxes, and water fountains have gone offline. Though Petlibro maintains that "existing settings and schedules stored locally on your device will […]
AI 资讯
Twitch content has trained Amazon AI for years, but users can opt out now
Streaming platform says user-generated content "may be used for future Gen AI model improvements."
安全
US boosts drone surveillance as flesh-eating screwworms spread in Texas
Hundreds of Homeland Security drones retasked to survey wildlife and livestock.
AI 资讯
FlightAware dropped its lawsuit against Kalshi after just one day
FlightAware's case against Kalshi has been voluntarily dismissed "without prejudice against all defendants."
AI 资讯
It looks like Apple’s iPhone 18 really will skip the fall launch this year
According to an Economic Daily News report spotted by MacRumors, executives for Apple supplier Pegatron confirmed during an earnings call that the iPhone 18 Pro series phones will launch this fall, but the base iPhone 18 won't arrive until the first quarter of next year. The more affordable iPhone 18e and a new iPhone Air […]
AI 资讯
Scientists just created female clones of male mice
Scientists have deliberately turned male mouse embryos into females for the first time. A team based in Japan used a CRISPR-based approach to remove the Y chromosome from male cells and create female clones of male mice. “No one has done this before,” says Monika Ward, a reproductive biologist at the University of Hawaii, who…
AI 资讯
The hard part of an AI feature is knowing where NOT to use AI
A payment decision has to be exact and repeatable. So in the product I built, the money logic is deterministic code, and the agent only touches the parts where judgement is genuinely open-ended. Every AI demo right now is an agent doing everything. Point it at the problem, let it reason end to end, marvel at the trace. It demos beautifully. Then you try to put it in front of a real workflow with real money and it falls apart, because the thing that makes a demo impressive, the model deciding freely, is exactly the thing you cannot allow when the output is a payment. I spent a while building a procure-to-pay product: a vendor invoice comes in, gets extracted, matched against a purchase order, routed through an approval workflow, and reconciled. It is the kind of thing everyone now wants to put an agent on. So I did, sort of. But the interesting decision, the one that took the longest to get right, was not where to add the agent. It was where to refuse to. The rule: a payment decision must be exact and repeatable A model is a probability distribution. Ask it the same question twice and you can get two answers. That is a feature when the task is fuzzy and a liability when the task is "does this $48,200 invoice match this purchase order". Matching, the approval engine, reconciliation: these have to be exact, auditable, and identical every run. So they are plain deterministic code. No model in the path. If a controller asks why this got approved, the answer is a code path they can read, not "the model felt it was fine". That sounds obvious written down. It is not how most people are building AI features right now. The default has become: agent first, and carve out the deterministic parts only when something breaks. I did the opposite. Deterministic by default, agent only where the trajectory is genuinely open-ended. The three places the agent actually earns its keep Once you hold that line, the places where AI belongs get very clear, because they are exactly the places a
AI 资讯
I built the approval gate, then put a price on it
In ledgerloop, a clean invoice under $1,000 posts with no human involved. I built the approval gate, then put a price on it. A company raised $30M last week to take the human out of agent payments. The expected take from someone with my background is a post defending the human. I agree with them, up to a thousand dollars. Two conditions, and nothing else The manager gate fires on two conditions: any exception, or a clean bill over $1,000. Below that, a clean three-way match posts straight through and no one signs. From the seeded scenarios: $730 clean goes straight through. $9,360 clean still stops, because a material bill gets a human whatever the match says. A steel bar invoiced 9% over the PO stops. Invoiced 100 units, received 80, stops. Two things exactly, and they are the load-bearing ones. Below the floor, what posts the invoice is deterministic tested code, not the model: the agent reads, investigates and proposes, it does not decide an amount. And these are seeded demo scenarios, not production traffic. The argument I actually want It is not whether humans should approve payments. It is that "a human approves payments" stops being a control the moment no one wrote down which payments. An unwritten threshold is not a policy, it is a habit, and a habit cannot be audited. The number itself is arguable and probably wrong for your business. Its existence, in code, with a reason next to it, is not. If you run AP: what is your straight-through limit, and who set it? The whole loop, an agent deriving the workflow then a real invoice routed through it, is in the ledgerloop case study . Originally published at dylan.merigaud.com .