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Anthropic eyes $5B funding round that could push valuation to $170B despite CEO's concerns over ties to authoritarian investors

4 days ago

A.I. Companions Offer Solace to the Lonely—But at What Cost to Our Humanity?

7 hours ago

Delta’s AI pricing rollout sparks consumer backlash, highlighting the delicate balance companies must strike between innovation and trust

7 hours ago

The Godfather of AI Warns AI Could Develop Its Own Unreadable Language and Think Beyond Human Understanding

9 hours ago

The clipboard isn’t the problem — corporate control is I’ve long argued that combining wearables, electronic medical records, and AI offers the fastest, most humane path to reducing patient suffering and cutting healthcare costs—especially in the U.S., where expenses are unsustainable. I made this case recently in a piece on Microsoft’s “medical superintelligence” and the essential role of state-run health systems in ensuring abundant, universal, and secure data. That’s why the latest White House announcement is so alarming: a “patient-centered healthcare ecosystem” launched under the Trump administration via the Centers for Medicare and Medicaid Services, backed by Palantir, Amazon, Apple, Google, OpenAI, and over sixty other tech giants. The plan claims to “break down digital walls,” deploy modern identity systems, and use AI to “kill the clipboard” while managing chronic conditions like diabetes and obesity. But what’s truly troubling is that more than sixty corporations are eager to centralize our sensitive medical data on private servers—putting profit-driven interests, not public health, at the heart of America’s medical future.

9 hours ago

Try Deep Think in the Gemini app to experience advanced problem-solving powered by extended parallel thinking and enhanced reasoning.

9 hours ago

Meta to Raise $2 Billion by Selling Data Center Assets to Fund AI Infrastructure

18 hours ago

Zuckerberg’s Vision for Personal Superintelligence: How Meta Plans to Win the AI Era by Filling Your Free Time

19 hours ago

7 Drop-In Replacements to Instantly Speed Up Your Python Data Science Workflows

21 hours ago

Why Not Just One Agent? The Power of Multi-Agent Workflows in LangGraph

21 hours ago