Keep pulling the thread on Leopold Aschenbrenner.
The "data wall," or the limit of available high-quality training data, is an underrated problem that could lead to a stagnation in AI progress.
By 2027-2028, automated AI researchers will be capable of generating a volume of tokens equivalent to the entire internet every day.
AI alignment techniques are dual-use technologies that can be used for beneficial control or for malicious purposes, such as creating "CCP bots".
Leopold Aschenbrenner was explicitly told that his internal memo on security was a major reason for his termination from OpenAI.
By 2027-2028, AI models will be as intelligent as the smartest human experts.
It is critically important for national security that AGI superintelligence clusters are physically located in the United States.
An OpenAI HR representative told Leopold Aschenbrenner that it was racist to be concerned about espionage from the Chinese Communist Party (CCP).
The training compute of the largest AI systems has grown by approximately half an order of magnitude (0.5 ooms) per year for nearly a decade.
Automating AI research with 100 million human-equivalent AI agents could compress a decade's worth of machine learning progress into a single year.
OpenAI leadership allegedly created a plan several years ago to fund and sell AGI through a bidding war between the governments of the United States, China, and Russia.
The United States should develop a Stuxnet-like cyberweapon to target China's AI infrastructure.
If a single private company like OpenAI achieves a 6-month lead in AGI development, it could result in that company's CEO becoming a de facto benevolent dictator with unprecedented power.