Topic
Inference Economics
20VC: 70% of Neolabs Will Die | There Will be a $100BN US Open-Source Model | Data is a Trillion $ Market | Governments Cannot Regulate Models: It is Too Late | The Cyber Attacks to Come Will be Insane with Anastasios Angelopoulos @ Arena
Anastasios Angelopoulos argues that real-world AI evaluation, not static benchmarks, is becoming the key battleground as Chinese and open-source models rapidly narrow or beat the lead of closed American systems. He also warns that data, enterprise AI sovereignty, model safety, and AI-enabled hiring/cyber deception will define the next phase of the market.
Why a Nation Can't Outsource Its Frontier AI - Alistair Pullen (Cosine AI)
Alistair Pullen says Cosine is building a UK sovereign frontier model because export controls and compute constraints forced the company to pursue its own stack. He argues the real bottlenecks are inference economics, active parameters, trajectory data, and better RL reward shaping for coding agents.
Stanford CS153 Frontier Systems | Scale, AGI, and the Future of Everything
Sam Altman argues that AI changes startup economics, with token spend substituting for large teams and scale producing unexpected emergent returns. He also says frontier labs must build for inference, expects compute shortages to persist, and warns education and redistribution systems need redesign in an AI-native world.