

I would argue against the premise that rust is shitty, but yes, this is absolutely a garbage-in garbage-out scenario (which really makes one wonder about the long-term viability of these things…)


I would argue against the premise that rust is shitty, but yes, this is absolutely a garbage-in garbage-out scenario (which really makes one wonder about the long-term viability of these things…)


Even the best LLMs write pretty shitty rust, which is kind of tragic


this is in the shadow file, which services more than just SSH


Do you only comment in witty quips?


I doubt AI companies are buying DDR3, it’s just second-order effects of new hardware being unobtainium.


Inhumane


Sorry, comment corrected.


Yes, although extremely extremely unlikely from healthy tissue. I encourage you not to eat your own rotting or otherwise damaged flesh, fresh eggs would likely be fine.


They are going to have more than one drive, obviously. And 400 MB/s is nothing to scoff at.


They don’t need to archive AI output silly, they need to archive the cumulative works of the internet because they keep forcing hosts to shut down with what are among the most aggresive web-crawlers ever deployed outside of DoS attacks.


Zoning laws largely make no direct difference to the safety of structures built


this has to be a joke


In case one is blocked!


I do not like the looks of the future. Too much regulatory capture, too much critical infrastructure based on technology too little effort has been spent explaining to the layperson. It leads to clueless and incompetent governance like this, to the benefit of a handful of the worst people, to the detriment of most of us.


We really don’t know enough about how brains work or how quantum computers will scale to even speculate on that


Problem is we buy these things from the lowest bidder


The problem is context is just not the same thing as changing the structure of the neural net, it doesn’t matter how big you make it


That is a pretty huge misunderstanding of what the fruit fly thing was. Researchers mapped how many neurons they had and which interacted with which others, but not the strength of those interactions or even how the interactions worked. People on the internet used this blank mapping as the “structure” for existing ML technologies and trained them to do random things. No actual fruit flies were simulated, and we are still a long long way from actually attempting that.


The other blocker is that it can’t actually learn anything, what it gets from the training is what it’s stuck with, it has to hold anything new in the context window.
Both of these are pretty insurmountable problems for the architecture.
How often do you need to replace your phone?