From first users to billions: Google’s Robby Stein joins TechCrunch Disrupt 2026
From first users to billions: Google’s Robby Stein joins TechCrunch Disrupt 2026. Lean in on this Builders Stage session. Save up to $200 before Sept 25.
From first users to billions: Google’s Robby Stein joins TechCrunch Disrupt 2026. Lean in on this Builders Stage session. Save up to $200 before Sept 25.
Google’s AI-native Googlebook ties Gemini to the cursor, dictation, widgets and other parts of the desktop experience.
Where will the next breakout startup come from? Benchmark’s full partnership weighs in on the main stage at TechCrunch Disrupt 2026. Save up to $200 before September 25, 11:59 p.m. PT. Register now.
Multi-agent AI systems are taking over supply chain execution as enterprise networks face diminishing returns from static dashboards, pushing logistics directors towards autonomous execution. Predictive demand models display recommendations, yet human planners still clear every action. Multi-agent systems replace that approval stage across targeted operational boundaries. Instead of waiting for weekly scheduling runs, independent software […] The post Multi-agent AI systems are taking over
The president offered few details on what his proposed new AI Force would do.
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. The US spent billions on border surveillance. Why can’t it catch people before they die? When José Morales Bernal crossed the border into the US in April 2024, the day before…
Apple lovers have long enjoyed seamless connectivity between their iPhones and Macs. Now, Google’s bringing that experience to Android.
She had only walked for a couple of hours, and already she was lost.  It was early afternoon on Sept. 14, 2025, when 30-year-old Graciela Gómez Hernández crossed the border from the eastern edge of Tijuana into Southern California, sending voice messages to her mother and sister as she walked.  This story is part of Dying…
When José Morales Bernal crossed the border into the United States on April 8, 2024, the day before his 32nd birthday, it should have triggered a chain of technological alerts and human responses.  As he walked through the desert in southern New Mexico that morning, he was within range of three surveillance towers. Newly installed…
MIT Technology Review today published our investigation into how many people have died near the “virtual wall” of surveillance towers that the US government has installed along the US-Mexico border. We found cases of people who walked undetected through areas surveilled by advanced, AI-enabled towers and later died nearby, where their bodies remained unnoticed for…
Our 15-month investigation into death and surveillance along the US-Mexico border began with a simple question: Why did so many people die near government surveillance towers meant to help track and apprehend them? This story is part of Dying on Camera, a collaboration between MIT Technology Review and Times of San Diego. Journalists in both newsrooms spent the past…
Officials discussed setting up a mechanism for the two countries to notify each other of AI incidents which could threaten national security.
On September 18, 2026, OpenAI, Anthropic, and xAI signed the AEF-1 embedded evaluation standard, while more than 100 researchers including Geoffrey Hinton and Stuart Russell signed an open letter warning that the existing framework is insufficient to prevent conflicts of interest. The simultaneous moves highlight the tension between principles and enforcement.
AI adoption has outpaced AI governance across enterprise environments, creating a fundamental security problem. Organisations cannot protect what they cannot see, and visibility has become the prerequisite for all other AI security controls. Traditional monitoring tools fail to track AI activity effectively, creating significant risks that require new strategies for security teams to regain control […] The post How to Improve Visibility Across Your Enterprise AI Ecosystem appeared first on
The U.S. has formally proposed a bilateral AI national security incident notification mechanism, with both sides agreeing to establish a dedicated working group less than 96 hours before the Trump-Xi summit. The talks also covered trade committee arrangements and possible tariff cuts on non-sensitive goods.
A Financial Times investigation found that Alphabet, Meta, Nvidia, Broadcom, Oracle, Amazon and others have moved more than $300 billion in AI infrastructure debt off their balance sheets through residual value guarantees and special purpose vehicles. The structures comply with GAAP, but they create hidden systemic exposure as 25-year debt funds assets with useful lives of only 5 to 7 years.
This week, 454 translation tasks were completed by 4 models. A blind multi-model comparison of 3 sampled articles found claude-sonnet-4.6 to be the best overall, with an average score of 9/10.
Everyone in the world-models space is sitting on a pile of cash and a ton of buzz, but good luck getting anyone — from the founders to their own data suppliers — to tell you what they're actually building.
Anthropic is weighing whether to release a new frontier AI model before its planned IPO, balancing investor confidence, internal safety assessments, and competition with OpenAI’s GPT-6 Astra. The decision comes as its IPO timeline slips and its valuation is discussed in the trillion-dollar range.
In a CBS News interview, NVIDIA CEO Jensen Huang said the chance of an AI apocalypse by 2030 is 0%, even as Anthropic’s Dario Amodei, OpenAI’s Sam Altman, and others at AI labs he supplies are publicly urging the industry to slow down. The article examines the conflict between Huang’s business incentives and the warnings from those building frontier AI systems.