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Remember Map-Reduce and Quantum Computing?
by d00mB0t 1y ago
Remember Map-Reduce and Quantum Computing?
- rfarley04 1y agoAnd blockchain. Should probably go back and compare how the frequency of those buzzwords (as a ratio of total posts) compare to AI
- School-Cotton 1y agoUnlike blockchain and quantum computing, AI is both (1) real, and (2) widely useful for something other than committing crimes.
- oblio 1y agoQuantum computing seems like useful tech that will happen, and I'm not sure what the crime angle is for it... People are designing quantum computing resistant cryptography, if that's what you mean.
- bluefirebrand 1y agoIf you view copyright violation as a crime, then AI is extremely good at it
- amlib 1y agoI don't think most people care much about the copyright violations (or at least they haven't though this trough properly), it's more about corporations taking even more control over information and knowledge at an unprecedented scale, sucking up virtually all of humanity's output in the last thousands of years and profiting from it without giving a cent back to society. Maybe you are fine with corporations doing that, but imagine now if instead of corporations they were an alien race doing all that to us, would you not be worried for our future and autonomy?
- teiferer 1y agoBlockchains are not real? Tell that to my neighbor who regularly uses bitcoin to send some money to some relative in some far away place. (I'm not arguing that that's a good idea. It's likely not. But it's pretty real for my neighbor.)
- oblio 1y agoMap reduce powers Google, so that's established tech. Quantum computing is progressing slowly but it's most likely going to be mainstream, yet too technical for the average person to care about it.
- bravesoul2 1y agoAI was also too technical. Until LLMs and prompt engineering mase it so everyone can play. Maybe QC will have a similar moment. Maybe not for decades though.
- paulsutter 1y agoMapreduce was a simple way to harness large clusters back in 2006 Today’s tools like Spanner are vastly more sophisticated, but were built by people who learned to work at petabyte scale developing in Mapreduce We’re getting better AI tools every month, and the best way to be ready for next year’s tools is to work with the tools we have now