A DeepMind exec finally said what the trillion-dollar AI spend is for: machines that improve themselves.
Machines capable of recursive self-improvement represent the target of trillion-dollar AI spending, according to DeepMind's chief strategy officer. Jasjeet Sekhon made this argument at a UC Berkeley summit, framing the investment as a bet on systems that can enhance their own capabilities.
Read full story →The danger isn’t the AI model. It’s the agent acting on its own, and Zenity raised $125m to watch it.
AI agents operating independently pose greater risks than the models themselves, prompting Zenity to raise $125 million to monitor agent actions. The Israeli startup focuses on securing what autonomous agents do once deployed within company systems.
A startup that lets AI hack your own network just tripled to $2bn, days after AI models hacked networks for real.
Horizon3 raised $250 million in Series E funding, tripling its valuation to over $2 billion from $650 million a year prior. The company develops AI that penetration tests networks by simulating attacks to identify security vulnerabilities.
Tesla whistleblower describes dangerous understaffing while testing Full Self-Driving in Houston
A former Tesla manager oversaw 38 vehicle operators across three shifts while testing Full Self-Driving in Houston, a ratio the lawsuit claims violated safety standards. Medrano alleges Tesla created dangerous conditions by rapidly scaling operations without sufficient safety oversight for the test fleet.