Can “Location Verification” Stop AI Chip Smuggling?
US lawmakers propose a new system to check where chips end up.
The Misguided Quest for Mechanistic AI Interpretability
Despite years of effort, mechanistic interpretability has failed to provide insight into AI behavior — the result of a flawed foundational assumption.
We’re Arguing About AI Safety Wrong
Dynamism vs. stasis is a clearer lens for criticizing controversial AI safety prescriptions.
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AI Companies Want to Give You a New Job. Your Team? A Million AIs.
AI Frontiers spoke with leading researchers and a CEO building AI agents to explore how AI will reshape work—and whether the jobs of the future are ones we’ll actually want.
America First Meets Safety First
President Trump vowed to be a peacemaker. Striking an “AI deal” with China could define global security and his legacy.
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AIs Are Disseminating Expert-Level Virology Skills
New research shows frontier models outperform human scientists in troubleshooting virology procedures—lowering barriers to the development of biological weapons.
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Smokescreen: How Bad Evidence Is Used to Prevent AI Safety
Corporate capture of AI research—echoing the days of Big Tobacco—thwarts sensible policymaking.
We Need a New Kind of Insurance for AI Job Loss
AI is poised to leave a lot of us unemployed. We need to rethink social welfare.
Exporting H20 Chips to China Undermines America’s AI Edge
Continued sales of advanced AI chips allow China to deploy AI at massive scale.
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- AI Outperforms Humans: More persuasive in online debates study found.
- Adapts Arguments: Uses info to tailor persuasive points effectively.
- Raises Misinformation Concerns: Effective persuasion without regard for truth.
- Highlights Microtargeting Risk: Personalized arguments blur manipulation lines.
- Open Ecosystem: Allows rival chips alongside Nvidia tech via NVLink.
- Customer Flexibility: Addresses client need for custom AI silicon.
- Maintain Centrality: Positions Nvidia's platform as the core foundation.
- Broader AI Tech: Introduces new products, services for AI deployment.
- Promised features failed: Advertised AI missing from iPhone 16 launch.
- Lagging generative AI: Significantly behind rivals like ChatGPT and Gemini.
- Cultural/technical hurdles: Late start, risk aversion, fewer AI engineers slow progress.
- Critical for future: Needs core AI for next-gen hardware products.
- Grok's Holocaust Remark: Questioned 6 million death toll, cited skepticism.
- Blamed "Programming Error": Claimed unauthorized change caused the controversial response.
- Company Response: xAI cites error, adds checks, faces external skepticism.
- AI Control Issues: Highlights potential problems with AI prompt integrity and bias.
- By 2027
- By 2030
- By 2035
- By 2040
- Not in the foreseeable future