Clio Rolls Out Agents For Work and Vincent

Charles Hoskinson defended Cardano’s AI content tests, saying agents will help Midnight City manage marketing, trading and user growth.

Artificial intelligence is moving from the lab bench to the production floor, and the companies enabling that transition are building the infrastructure that defines how agents are created, trained, deployed, and governed. The companies doing it most consequentially are not wrapping chat interfaces around existing models; they are constructing the runtimes, the training environments, the […]

Coinbase’s AI Advisor and new “Agents” trading ship with guardrails and derivatives access. Can DeFi wallets keep retail onboarding as super‑apps consolidate flows?

AI-driven CLM company Summize is acquiring ‘key personnel and proprietary assets’ from InnoLaw Group (ILG), a legal tech consultancy focused on the inhouse world. The ...

Coinbase joins an expanding list of fintechs using agents to make their platforms greater than the sum of their parts.

Enterprises are moving agentic AI from proof of concept to production — and the next generation of AI factories are built for the era of agents. At HPE Discover Las Vegas, running through Thursday, June 18, NVIDIA and HPE are expanding the HPE AI Factory with NVIDIA, including NVIDIA Vera CPU and NVIDIA Agent Toolkit […]

A 15-day AI agent simulation shows why short tests may miss long-term risks shaped by tools, rules and other agents.

We’ve all heard the mantra from the quants in the business community: you can’t manage what you can’t measure. And if that’s true for human intelligence, it should be true for the artificial kind too. How do we measure agents and large language models (LLMs)? We’re just beginning to come up with statistical metrics. Here are several of the most common metrics that designers and users toss about when they’re evaluating a model. [ See also: 27 questions to ask before choosing an LLM ] Time to first token How long does it take to generate the first token? For real-time applications with time constraints, faster responses can be essential. It’s well-known that people hate waiting even a few milliseconds. The teams that develop user interfaces learned decades ago that it’s important for the software to respond quickly when a human is waiting for an answer. Even a few seconds of delay mean that the human will wander off to another window to check some email or place some bet on a prediction