By my calculations, just the compute here (300 BILLION output tokens) would cost a regular user $20-$30 million in tokens. How do we sustain this level of investment in science once the AI companies have decided that its no longer worth their time/effort to go after everything thats not a millenium problem.
also -- totally 🤯 - going to be hard to focus on another other research seminar/topic for a while.
the results? the best models in automate mode are not always the best models in augment mode.
for example - Opus and Sonnet are great on performing tasks on their own, but not in proving assistance, while GPT-5-Mini was great on both dimensions.
Gemini models were stronger as assistants than as automators.