
OPEN SOURCE ATE THE FRONTIER. WALL STREET'S LATE.
DeepSeek R1 cost $5.6M to train and matched OpenAI's o1. NVIDIA lost $600B in a day. The open-source AI revolution is here and Wall Street's late.

DeepSeek R1 cost $5.6M to train and matched OpenAI's o1. NVIDIA lost $600B in a day. The open-source AI revolution is here and Wall Street's late.

Europe's sovereign AI push is pure cosplay — every 'homegrown' model from Mistral to Aleph Alpha trains on NVIDIA silicon. The EU has regulation but no chips, and that's not independence, that's a subscription.

DeepSeek trained a GPT-4-class model for $5.6M on nerfed chips and open-sourced the whole thing. The AI hype machine just met its reality check.

TSMC says the GPU shortage lasts another 18 months. AI startups are screwed, Big Tech is hoarding silicon, and your GPT-5 dreams just got postponed.

AMD's MI300X benchmarks show 30% better performance than Nvidia's H100. The AI hardware monopoly might finally be cracking.

AMD's 153-billion-transistor MI300X posts competitive benchmarks against NVIDIA's H100. The AI chip monopoly just got its first real challenger—but software remains AMD's Achilles heel.

AI data centers are generating infrasound that standard meters can't detect but neighbours can definitely feel. The ghost frequency haunting the AI boom.

Five years after someone called GPT-3 'bigger than Bitcoin,' we've got AI deleting databases in 9 seconds, Meta keylogging employees to train replacements, and Kevin O'Leary building a 9GW server farm in Utah. The hype was real. The outcomes are chaos.

60 nations meet to phase out fossil fuels while AI builds data centers consuming more power than countries. The grid won't save itself.

The AI revolution runs on fossil gas. New data centers could emit more than entire nations while tech giants quietly abandon climate pledges. The real cost isn't compute — it's atmospheric carbon.