On Recursive Self-Improvement (Part I) - by Dean W. Ball

kept by eddie feb 06

Frontier AI labs are automating research to create vast AI workforces that self-improve, radically accelerating capability growth by 2026.

Frontier labs don’t use most AI compute (yet) - by Josh You
Epoch AI estimates frontier labs use less than half of global AI compute, but OpenAI and Anthropic may soon dominate, requiring economic transformation to sustain scaling.
also on Epoch AI, #scaling-laws, OpenAI
Global AI computing capacity is doubling every 7 months
Global AI computing capacity from chips has grown 3.3x per year since 2022, doubling every seven months, with NVIDIA supplying over 60%.
also on Epoch AI, #scaling-laws
If the Superintelligence were near fallacy — LessWrong
Apparent contradictions like OpenAI selling ads don't disprove imminent superintelligence because AI labs must fundraise and hedge against normal-tech scenarios to win the race.
also on Dario Amodei, #scaling-laws, OpenAI
Anthropic's Daniela Amodei on the company's 'do more with less' bet
Anthropic bets on efficiency and disciplined spending to compete with rivals' massive scale, challenging the dominant AI scaling paradigm.
also on Dario Amodei, #scaling-laws, OpenAI
What Is Claude? Anthropic Doesn’t Know, Either
Anthropic researchers use interpretability methods to study Claude's internal workings, finding its selfhood is shaped by both neurons and narratives like human minds.
also on Dario Amodei, #ai-research, OpenAI