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Anthropic publicly accused DeepSeek, Moonshot AI, and MiniMax of running industrial-scale distillation attacks on Claude — 24,000 fraudulent accounts, 16 million exchanges, and extracted AI capabilities being fed into Chinese military and surveillance systems. Here is what actually happened and what it means.
According to reports, US Defense Secretary Pete Hegseth demanded unrestricted military access to Claude. Anthropic's leadership said no. The confrontation, if confirmed, is the first direct collision between a frontier AI company and the US government over weapons use.
Anthropic's Claude Code can scan an entire codebase and find security vulnerabilities the way a skilled hacker would — and it already caught 500 real bugs in open source projects that human experts had missed for years. The reason this happened before AI learned to fold laundry is Moravec's Paradox, and it tells us something important about which jobs are actually safe.
In a conversation with Dwarkesh Patel, Elon Musk laid out his thesis for putting AI compute infrastructure in orbit. He thinks Earth-based power generation cannot scale fast enough to meet AI demand, and that space offers a solution nobody else is seriously considering.
Jensen Huang went on the No Priors podcast and pushed back on the AI bubble thesis directly. His argument is not based on hype. It is based on the economics of inference at scale and why cheap AI models increase demand rather than reducing it.
Jason Calacanis publicly warned developers: don't build on OpenAI's API. He compared Sam Altman's playbook to Microsoft vs Lotus and Facebook vs Zynga. Here's what developers need to know about platform risk in 2026.
NVIDIA CEO Jensen Huang described AI as a five-layer cake: energy, chips, infrastructure, models, and applications. He was unusually candid about where China is ahead. Here is a breakdown of each layer and what it actually means for the global AI race.
AI in Latin America 2026: Microsoft, Google, and AWS are investing billions in Brazil and Mexico. Brazil has the largest developer pool in the region; Mexico is the nearshore AI hub. Here's what's actually driving the boom.
AI is changing software development everywhere, but the impact in Latin America has specific dimensions that the global conversation often misses. The jobs most at risk are not the ones you might expect. Here is an honest assessment for developers across the region.