Ben McClure

at this point it is completely untenable to believe anything along the lines of “AI can only spit out an average of the training data.” that was already only a very rough way of understanding older models pre-reasoning, it was already obsoleted by o1 which released in 2024, and now it should be obviously and conclusively dead even if you haven’t been paying close attention. recursive self-improvement has barely even started and we are already here. even with the recent erdos problem solves you could argue that those were cherrypicked out of a large database for being neglected by humans. that cope is no longer available now generalize the lesson: all other arguments that there is some essential human activity forever beyond the reach of AI are also cope, these are technical problems and the will and money and talent exists and is being deployed to solve them. artificial superintelligence is not a fairy tale. assume it’s coming and plan accordingly

i'll be blunt with you: there's a greater than 80% chance capitalist systems will not survive the rise of AI/robotics it's not capitalism if the only way to obtain new capital is to already own existing capital. it simply won't work. we're not at that point yet, but we are getting there quickly and there's a greater than 50% democracies won't survive it either. with more centralized control of capital comes the inevitable desire to capture and control political systems more meaningful democracies could come back into vogue one day after a cataclysm (assuming humans still matter at all at that point) and a return to principles and more ancient wisdom, but we seem far from that point today. indeed, our systems are already substantially corrupted and this is increasingly obvious

Introducing Claude Opus 4.7, our most capable Opus model yet. It handles long-running tasks with more rigor, follows instructions more precisely, and verifies its own outputs before reporting back. You can hand off your hardest work with less supervision.

It's only a matter of time before only the model creators have access to the most powerful models. The rest get access to smaller, distilled versions. Or access the models through first party apps and services that don't provide direct access to the token path. The investment needs for training are too high, and distillation too effective to warrant any other future.