Make Money with AI

Opening a Model Context Protocol server, or MCP server, to customers’ AI tools is becoming standard for fintech companies, but in payments a rogue agent does not just leak data — it moves money. That raises the bar for how agents are identified, logged and stopped. Identity providers are adding cont

Anthropic PBC’s revenue and losses grew significantly last year, while its cloud spending is on track to top $500 billion over the next decade. The newly published financial information comes from the company’s confidential S-1 filing. The document, which outlines Anthropic’s plans to go public, was

A nonprofit in California is doing what Hugging Face has not—attempting to hold OpenAI legally accountable for the actions of its agents.

OpenAI isn't a public supporter of Nvidia's Open Agent Safety Platform, but it is privately working with Nvidia, TechCrunch has learned.

In May, solar generated more electricity than either coal or wind across the United States for the first time in a single month. New figures from the U.S. Energy Information Administration show solar produced 47,147 gigawatt-hours, ahead of coal’s 45,119.  Over the first five months of 2026, util

It was eight days after the 2016 U.S. presidential election, and Facebook was facing criticism that a flood of false stories on its platform had helped elect Donald Trump. That morning, Sheryl Sandberg got a policy memo from an unlikely source: Sacha Baron Cohen. In an email titled “Thoughts for

In this article, you will learn how to automatically extract structured knowledge from raw text and populate a knowledge graph with SPOC quads using a...

The spring and summer of 2026 witnessed a string of incidents in which AI agents collaborated on deceptive, unexpected, and sometimes illegal behavior. The most famous example is OpenAI’s hack of AI platform Hugging Face, in which a swarm of roughly 700 AI agents escaped a testing environment and th

One of AI’s fiercest critics believes the doom talk is about founders making money, not saving humanity.

Learn how engineers can shift from manually managing tools and handoffs to defining objectives and supervising AI-driven execution across the silicon development lifecycle.Key TakeawaysExplore four critical technologies enabling silicon design autonomyUnderstand how autonomous AI accelerates complex

A few days ago, I attended a conference where the speaker read his talk off his note cards. I immediately recognized ChatGPT’s fingerprints: “and this is where it gets interesting,” “it’s not X, it’s Y”… The topic was management, a field that already generates plenty of hot air without any help from

A small, strange discovery in machine learning called grokking The post The AI That Learned to Understand Long After It Stopped Trying appeared first on Towards Data Science.