Keep pulling the thread on Sam Altman.
The ability to use advanced AI to conduct faster AI research is one of its most significant impacts.
Humanoid robots will eventually be able to operate the entire supply chain, including mining, logistics, and manufacturing, to build more robots, chip fabrication facilities, and data centers.
The cost of AI intelligence is expected to converge toward the cost of electricity as datacenter production becomes automated.
Wide distribution of access to superintelligence is critically important due to its economic implications.
The AI alignment problem must be solved before superintelligence can be made cheap and widely available.
The goal of achieving intelligence that is "too cheap to meter" is well within grasp.
The most difficult scientific insights required for systems like GPT-4 have been achieved.
Hundreds of millions of people rely on ChatGPT every day for increasingly important tasks.
AI agents capable of performing real cognitive work, such as writing computer code, arrived in 2025.
AI systems capable of discovering novel scientific insights will likely arrive in 2026.
Robots capable of performing tasks in the physical world may arrive in 2027.
Intelligence and energy will become wildly abundant in the 2030s.