I didn't realize people still used this word to apply to human beings.

You just solved economics?

Power users are always going to have to take the messaging companies send out to the masses with a grain of salt.

> In animals, the transfer from short-term memory to long-term memory is thought to be supported by hippocampal replay [33], especially during sleep [41]; in this phase, short-term hippocampal memories are reactivated and consolidated into cortical synaptic weights. Sleep makes animals unable to respond to external stimuli, suggesting that it must provide enough cognitive benefit to justify this cost [41]. Inspired by these biological processes, we propose a method for transferring context-window memory into persistent weights. When the model’s context window becomes full during inference, the model enters a “sleep” in which it performs multiple forward passes over the accumulated context and recursively updates its fast weights via a learned local rule. As in animal sleep, the model receives no external input tokens during this phase. After consolidation, the context window is cleared, and the model resumes operation with updated fast weights. During training, the model is optimized end-to-end by backpropagating through the entire process to maximize task performance after sleep.

>This principle is fundamentally different from the effect of dimples on golf balls. Dimples reduce pressure resistance by intentionally turbulizing the airflow and suppressing backward separation. DMR, on the other hand, delays the transition, thereby suppressing not pressure resistance but the wall friction itself. They are opposite mechanisms.

Your submissions to HN evince a pattern that suggests engagement with you would likely fall on deaf ears.

This is key, I think, and gets overshadowed by people being offended by seeing bad vibecode or claims of 10x speeds, etc.

The most important learning that happens is not when we ask and get the answer to our question right away. It's when we stretch ourselves to seek out the answer, fail a few times, think deeply, then perhaps after a nap, solve the problem. That kind of knowledge is priceless because it not only gets you an answer it gets you some errant paths you can use to avoid problems in future problem solving as well as getting you increased trust in your own thinking.

If the next generations skip this step, they'll always think answers are supposed to be easy to find and will find themselves more and more dependent on AI and less and less confident in their own brains.