I've never seen it solve a problem by "thinking harder", but as soon as I give it access to a feedback loop where it has control it can solve a lot of problems, It sort of feels like brute force, but it's not because it's informed about what it focuses on.
theory > change > test > assess > rollback and retry)
It's the same thing I do, but at machine speed. I had Claude Code help me figure out a sysadmin type problem in about 15-20m one day and I don't think I could have done it on my own in a day.I think the bigger issue is how you convince people to give those findings back to the system. Either you lie about what you're training on or you have to give people a stake in the benefits. For example, I still needed some level of expertise to track down my issue, so why should I publish that so Anthropic can train the next model on it and rent the knowledge back to me?
Though the truest of true believers also see themselves as one day eliminating scarcity as a concept so it might just be that profit doesn't motivate them.
they still need many billions in compute, while it is not clear if RSI will provide strong revenue gain, so they propose Wall Street to take part in gamble.