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It's like worrying about running out of stables for horses when cars already started to take over. It's going to shift from requiring quality data to producing

It's like worrying about running out of stables for horses when cars already started to take over. It's going to shift from requiring quality data to producing quality data. There is not going to be need for it just like there is no need for more Kasparovs anymore. You can see it with artists slowly happening. Lawyers will get the hit (or great tool to use depending how you want to see it). Medical analysis will find the same faith. If you think that medicine will require human analysis just imagine for a second what closed loop AI could do - if it had access to data not only from all hospitals but patients as well and being able to munch through it continuosly. This together with constant access to simulations and physical trials, finding patterns and correlations on its own. It's exciting and depressing to think that humans will evantually be left to being humans the way they wish with everything sorted out - just like chickens don't mind being free range chickens. There is no other direction it can go and it'll just go faster. Our generation will see some mind blowing things. Next generation will arrive at the world unlike anything else.

KaiserPro 4y ago
> It's going to shift from requiring quality data to producing quality data. synthetic data gives you synthetic results. To train something requires decent quality input, otherwise it's going to mimic the crap quality stuff. There is little chance in getting around that. Have you ever stopped to wonder _why_ large for profit companies give away free models with weights? its because once trained, they are commodity. the hard part is dataset management. Yes, chatgpt is largely self supervised, but the training into a usable model required a fucktonne of human hours
- mirekrusin 4y ago
  You're missing self enhancing feedback loop it creates. Human hours are/were necessary to bootstrap.

KaiserPro 4y ago

> It's going to shift from requiring quality data to producing quality data. synthetic data gives you synthetic results. To train something requires decent quality input, otherwise it's going to mimic the crap quality stuff. There is little chance in getting around that. Have you ever stopped to wonder _why_ large for profit companies give away free models with weights? its because once trained, they are commodity. the hard part is dataset management. Yes, chatgpt is largely self supervised, but the training into a usable model required a fucktonne of human hours

mirekrusin 4y ago
You're missing self enhancing feedback loop it creates. Human hours are/were necessary to bootstrap.