Your identity stack was built for two kinds of actor. Agents are a third.

Your agents are using your credentials, and that is the problem An engineer ships an agent to production. It needs to call an internal API, so it uses the key already sitting in the engineer’s environment. The agent runs. It also now holds every permission that engineer holds. That is the default state of most... The post Your agents are using your credentials, and that is the problem appeared first on DataRobot.

Summit's introduction in VCT could redefine competitive strategies, encouraging diverse agent use and innovative gameplay adaptations. The post Valorant’s Summit map debuts in VCT circuit with 10 agents featured, signaling fresh meta shifts for competitive gaming appeared first on Crypto Briefing.

Anthropic is bringing its Claude Cowork AI agent to web and mobile platforms, a move aimed at helping enterprise users monitor and manage long-running AI-driven tasks from anywhere as organizations increasingly adopt agents for operational and knowledge work. The rollout, according to the company, is based on an analysis of 1.2 million anonymized and aggregated Claude Cowork sessions conducted between May 11 and May 31 that showed that business process and operations accounted for the largest share of the AI agent’s usage at 33.4%, followed by content creation and copywriting at 16.4%, the company wrote in a blog post. Software development represented only 8.7% of sessions, ahead of DevOps and infrastructure at 7%, along with research and intelligence at 6.4%, and data analysis and business intelligence (5.8%). Cowork’s expansion, which is currently in beta, will allow users to start and manage Claude Cowork sessions directly from the Claude interface on the web and mobile, while enabl

Jensen Huang has a test for whether an engineer is worth keeping, and it comes with a token budget attached. On the All-In Podcast at the close of GTC 2026, the Nvidia chief executive said that if a US$500,000 engineer’s annual AI token consumption came in under US$250,000, half their salary, “I am going to be deeply alarmed.” Nvidia, […] The post Companies traded people for tokens. The returns haven’t shown up appeared first on AI News.

... government of the people, by the people, for the people ... The cost of AI is dropping rapidly. GPT-4-class capabilities cost roughly $30 per million tokens in early 2023; today the same runs under $1, and some providers are pushing costs below $0.10. Across benchmarks, inference prices have fallen between 9x and 900x per year, with a median decline near 50x. Even frontier models are getting dramatically cheaper each generation, with open-source models following closely behind. And crucially, even if “Nobel-Prize-winning genius-level” intelligence isn’t here yet, the intelligence that suffices for the vast majority of knowledge work is here today, and getting cheaper by the month. At this rate, we are soon entering the era of virtually free intelligence—the kind that is more than enough for everyday knowledge work. Aditya G. Parameswaran—an Associate Professor of EECS and co-director of the EPIC Data Lab at UC Berkeley—together with his collaborators. It is part landscape survey an

"The reality is, when you're optimizing for production, you start looking at a price/performance," Guillermo Rauch tells TechCrunch.

"One agent doing one task is certainly valuable, but multiple agents across the workflow really unlocks the value," said Karim Fadel.

Anthropic accused of spying on users; engineer says “experiment” is over.