Raw LLM Responses

@jdm8503 Modern AIs aren't made of code and cannot be programmed. They are essentially giant digital brains that are "grown" on a vast pile of data. AI engineers design the system that trains the AI, but after they pull the lever and wait for training to complete, they don't understand how or why the resulting system works. (People who know this still sometimes use the world "program" or "code" as shorthand when referencing the unknown internals of an AI model, and you might be one of those people, but I'm providing this information here for everyone's benefit.) What it sounds like you might not know is that AI can also learn in real time. It can come to operationally understand things during test time or during a conversation that it didn't understand when it was trained. It actually does this all the time. Recent AI progress includes gems such as: - Google created an AI system that quickly solved a very important math problem that had stumped human computer scientists and mathematicians for 56 years. ("AlphaEvolve: A Gemini-powered coding agent for designing advanced algorithms") - An AI system wrote a research paper on AI, after autonomously performing every step of the research process. It got accepted into the main proceedings of a top ML conference, and it was rated better than the average accepted paper. ("Zochi Publishes A* Paper") - AI is now better than human experts at coming up with good AI research hypotheses. ("Predicting Empirical AI Research Outcomes with Language Models") _(We used to think humans had a strong advantage in the ineffable "research taste" aspect of science. It turns out we aren't special and our advantages are falling about as quickly as AI researchers can bother trying to to knock them down.)_ - AI can now reliably improve itself (at least its scaffolding, but it may generalize) through open-ended exploration and self-evolution. ("Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents") _(This research direction is horrifying and insane.)_