Autonomous agents take the first part of their names very seriously and don't necessarily do what their humans tell them to do - or not to do. But the situation is more complicated than that. Generative (genAI) and agentic systems operate quite differently than other systems - including older AI systems - and humans. That means that how tech users and decision-makers phrase instructions, and where those instructions are placed, can make a major difference in outcomes.
During the AI Impact Summit in India, the UK government announced that £27m is now available for AI alignment research, backing some 60 projects. The project combines grant funding for research, access to compute infrastructure and ongoing academic mentorship from AISI's own leading scientists in the field to drive progress in alignment research. Without continued progress in this area, increasingly powerful AI models could act in ways that are difficult to anticipate or control, which could pose challenges for global safety and governance.
It's gonna be something like 10 times the impact of the Industrial Revolution, but happening at 10 times the speed, probably unfolding in a matter of a decade rather than a century,
On a personal basis, that means people using AI services want to be able to veto big decisions such as making payments, accessing or using contact details, changing account details, placing orders, or even just seeking clarity during a decision-making process. Extend this way of thinking to the working environment and the resistance is likely to be equally strong in professional settings.
AI was supposed to lessen your workload, but it's actually making you work more. That's the finding of an eight-month study from UC Berkeley. Researchers tracked 200 employees at a U.S. tech company and discovered workers using generative AI didn't work less-they worked faster and took on broader projects, often extending work into more hours voluntarily. The main culprits were task expansion, with employees doing work that previously belonged to others, and blurred boundaries as workers prompted AI during lunch or breaks.
Anthropic pledged to keep its large language model, Claude, ad-free, alongside a commercial poking at OpenAI, which is testing ads in ChatGPT. OpenAI CEO Sam Altman fired back with a 420-word post on X, calling the ad "dishonest." Altman was already fending off rumors about OpenAI's relationship with Nvidia, after the Wall Street Journal reported the chipmaker was pulling back from a proposed $100 billion investment. Reuters' sources said OpenAI has been exploring alternatives to Nvidia's chips.
Moca has open-sourced Agent Definition Language (ADL), a vendor-neutral specification intended to standardize how AI agents are defined, reviewed, and governed across frameworks and platforms. The project is released under the Apache 2.0 license and is positioned as a missing "definition layer" for AI agents, comparable to the role OpenAPI plays for APIs. ADL provides a declarative format for defining AI agents, including their identity, role, language model setup, tools, permissions, RAG data access, dependencies, and governance metadata like ownership and version history.
