#AI Regulation

OpenAI's Political Push

OpenAI and its Silicon Valley allies are deploying aggressive legal tactics, massive Super PAC funding, and shadow lobbying to shape AI regulation in their favor.

Anthropic publishes SB 53 compliance framework for frontier AI

UK AI Security Institute: DeepMind's Deeper Safety Dive

Jensen Huang Warns Against State-Level AI Regulation, Champions Federal Oversight

Federal AI Preemption Stalls, Leaving States to Forge Ahead

Lonsdale Warns Against Populist AI Regulation Stifling US Innovation

AI Industry's Ascendant Influence in Washington

AI's Job Paradox: Senator Warner Demands Data and Industry Accountability

Anthropic\'s Risky Pursuit of Superintelligence Amidst Calls for Regulation on 60 Minutes

\"I believe it will reach that level, that it will be smarter than most or all humans in most or all ways.

Fed Flags AI Valuation Risk to Economy, Warns of Algorithmic Manipulation

OpenAI's "Too Big to Fail" Playbook and the AI Bubble

Pro-AI Super PAC Aligns with White House on Federal Framework, Downplaying Reported Rift

AI's Dual Nature: Creature or Machine? The Battle Over Regulation

The BIGGEST AI Risk Nobody Wants to Talk About

Sam Altman Calls for AI Privilege, Akin to Medical and Legal Confidentiality

AI's Alignment Imperative: A Race for Wisdom

Trump's AI Vision: Leadership, Security, and Responsible Innovation

The New Battlegrounds of AI as OpenAI and Perplexity Browsers and Data Rule

The New Battlegrounds of AI as OpenAI and Perplexity Browsers and Data Rule

\n The digital landscape is undergoing a profound transformation, as artificial intelligence reshapes how we access information and interact with the web.

Anthropic Proposes AI Transparency Framework That Protects Startups While Targeting Big Tech

AGI's Coming in 5 to 10 years, says DeepMind CEO Demis Hassabis

He says there's "50% chance" of achieving what he defines as AGI within the "next 5 to 10 years." He clarifies that AGI implies a system exhibiting "all the cognitive capabilities we have as humans," not LLMs.