This is what I describe in great detail in my upcoming book The Eureka Machine. AI will help us massively accelerate science. Which is not zero sum and will progress humanity. Love seeing it play out in real time.

We just demoed how an agent can get real-time financial research through the @youdotcom Finance Research API and pay for it automatically, with no person setting up API keys, accounts, or payment info ahead of time via the @coinbase x402 standard. An agentic trader needs up-to-date research (e.g., SpaceX stock news) to make informed trading decisions. To solve, configure a cron job to run every trading day at 9:28 AM (two minutes before market open). The agent: 1. Requests a financial research report from using x402 as payment 2. Approves the micro-transaction from a crypto wallet (configured via MCP for any wallet provider) 3. Receives the research instantly 4. Executes up to 3 autonomous trades, with a $250 cap per trade No API key, no credit card, no KYC form. Agents pay for APIs directly, in crypto. That's one of the first real production use cases for crypto micropayments. Read more here:

AI is now doing our AI research. At Recursive we set out to build recursive self-improving superintelligence (RSI) to automate knowledge discovery. The best way to expand humanity’s knowledge is through the scientific method. RSI leads to better ideas, explanations and inventions which lead to better RSI. Automating the scientific method requires closing the loop between ideation, implementation and validation, and being able to run it over extended periods of time. Today, we are excited to share the first outputs of Recursive’s automated open-ended discovery system. To be clear, this system is merely a milestone towards RSI, a v0.1 of what I sometimes call the “Eureka Machine”. It is one program that you can point at any hard problem and get useful inventions out. Though it’s still very early, we've run it on three AI tasks and achieved state-of-the-art results on all three. These results demonstrate that even this early version of the system can solve a variety of autoresearch problems in AI and improve over prior state of the art. Concretely, it did this on the community benchmarks NanoGPT speedrun, NanoChat, and NVIDIA's Sol-ExecBench. AI is code and AI can code. The code and ideas that lead to these results were not invented by our team but by the AI system itself. To do RSI safely, we need to investigate its inventions. That's best done transparently with the community. @Recursive_SI we are open-sourcing the system’s discoveries, demonstrating that it finds creative and benign solutions instead of focusing on obvious optimizations or dangerous ideas. Link below.