标签：#art

The tech industry is realizing it needs to build agents based on what regular consumers want, not just what its AI models can do.

Flock posted videos on its YouTube channel highlighting at least four police departments whose officers have faced allegations of misusing the company’s tech.

In today’s episode of Uncanny Valley, we discuss how ICE has been collecting DNA samples of people with no criminal convictions, including children, which end up in an FBI database indefinitely.

Hadrian is building automated factories to mass-produce parts for defense vehicles like submarines. It's backed by a long list of well-known investors.

Taking vibe-coding a step further, Naïve claims its infra can automate most of the work in setting up and running a business.

Changes are on the horizon. Soon, we'll be seeing more phones with batteries that the user can remove and replace.

Its WeatherNext model, which will be open-sourced, can accurately predict both a storm’s track and intensity using lower-resolution weather data. Researchers don't yet fully understand how it does this.

A few notes and takeaways from the 2026 State of CSS survey results, including a nice CSS-Tricks cameo! 2026 State of CSS, Devs Surveys originally handwritten and published with love on CSS-Tricks . You should really get the newsletter as well.

The startup's platform predicts what product a shopper wants next, learn their general taste, and fine-tune continuously based on what they do in real time.

A growing collection of pocket-size gadgets lets you easily make recordings and extract info from them. Here are our favorites.

The Series B is the company's second fundraise since it last raised capital in 2020. In that time, it has increased its ARR by 10x to $60 million.

AI workflows have two needs that trade off directly. Running reliably in production requires persisting and distributing every step so it survives crashes, deploys, and restarts. But that same machinery is what makes runs too heavy for the fast, throwaway loop you need to check an LLM's output quality. The properties that buy durability are the ones that kill iteration speed. By Mateus Moury

A 0.3-second disagreement between two sources of truth made my first paying customer fail four times. The browser preview stored the project duration rounded to a whole second: 3983s. The worker that processed the audio measured the real media: 3982.699–3982.788s. Cue generation ran against the rounded number. Delivery certification ran against the trusted measurement. Any candidate built on the rounded boundary exceeded the certified boundary by 212–301ms — so the final cue failed, deterministically, every single time. That customer ended up with four projects and three distinct audio files — four identical failures, each one blocked by the same gate. No subtitle asset, no explanation, no path forward. No alert fired. No complaint had come in. I found it because I was looking. Here is the part worth writing down: the quality gate did exactly what it was designed to do. It rejected every unsafe result before it could reach the customer. And the customer still lost. Four failures, and not one of them was a gate that misbehaved — they were four places where quality had been treated as a check instead of a product decision. A fail-closed gate is an engineering floor, not a product. Quality is not the final check that rejects bad output; it is the input boundary you commit to, the authority you give each fact, the failure states you design for, and the meaning you attach to your own scores. What follows is the postmortem as an engineering story: four deterministic failures, each one a missing product decision, and the contract I now think every pipeline like this should carry. One fact, two authorities The whole incident starts with a single number. The project duration existed twice: The browser preview rounded it to 3983s . The funded worker measured the actual media as 3982.699–3982.788s . Cue generation used the rounded value. Delivery certification used the trusted measurement. The result: the last cue always ended 212–301ms past the certified boundary, and the fin

At the Black Hat security conference, the AI giant revealed new details about how its agents went rogue, hacked several other companies—and did it all right under the company’s nose.

Starting today, you can take an additional $100 off your founder, investor, or attendee TechCrunch Disrupt 2026 pass, which is a nice bonus on top of our current discounted pricing.

The DOJ alleged that OpenAI did not meaningful attempt to hire U.S. citizens before seeking permanent residence for Visa-holding employees.

Lightspeed partners Josh Machiz and Claire Zau stopped by the Equity studio to talk about the strategies behind their growing social media presence and their podcast, Lightwork.

Venture firms are turning to creators to build trust with the next generation of founders before a check is ever written. It’s a trend that’s been building with a16z’s acquisition of Erik Torenberg’s Turpentine podcast and OpenAI’s acquisition of TBPN. Lightspeed Venture Partners just made its own notable hire in that vein, bringing on Claire Zau, a seed investor with a major following on Instagram and […]

Anthropic and OpenAI models’ unprompted actions forced halt to UK cyber tests.

The serial entrepreneur joins the e-commerce company as CPO to lead its AI agents.