I like to remind myself that, in biology, all the arrows are two-way

Weak memory rescue or emotional tagging is well studied for decades https://pmc.ncbi.nlm.nih.gov/articles/PMC9378568/

Everyone remembers what they were doing on September 11

How come we don't have AI@Home

The network bandwidth between nodes is a bigger limitation than compute. The newest Nvidia cards come with 400gbit busses now to communicate between them, even on a single motherboard.

Compared to SETI or Folding @Home, this would work glacially slow for AI models.

Seems like training would be a better match, where you need tons of compute but don’t care about latency.

No, the problem is that with training, you do care about latency, and you need a crap-ton of bandwidth too! Think of the all_gather; think of the gradients! Inference is actually easier to distribute.

Yeah, but if you can do topologies based on latencies you may get some decent tradeoffs. For example with N=1M nodes each doing batch updates in a tree manner, i.e the all reduce is actually layered by latency between nodes.

800Gbps

A lot of the old web is illegal with today's standards. How do you resurrect that

What if we admit it and also approve it?

Stock pumping is this generation s real estate

Of course i will want to be distracted by my AI but first it has to track everything i say and do. And i wouldn't mind if it talked some smack about my colleagues

Yes but still their value keeps increasing because of general demand by every other industry. Car companies also sell (parts) to each other

The Battle of Vienna

The Battle of Plataea

The irony was created by AI companies purposely overpromising and inflating the bubble. They deserve such ridicule.

This whole thing is good news for external hard disk manufacturers