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Hacker News

I can do a nice task with AI but can't easily schedule it.

Enterprise controls make what could be a simple cron job into a nearly impossible scheduled task.

So AI has to be one shot for me where I use it.

So productivity is dramatically lower if I have to manually track and execute tasks as some kind of human scheduler system.

by pir8life4me

I think this calculation is bad? I mean, they take sand and produce AI chips, and then the AI chips turn electricity into entertainment. So highly productive use of resources. Global entertainment industry is $3 trillion, easily justifies investment when combined with coding usage. So restructuring the economy etc. - those are moonshots that are like the cherry on top.

by Mathnerd314

bike shedding with 28 agents lets you do nothing at scale

by cyanydeez

My guess is AI mostly increases the throughput of low-quality output, and the cleanup burden lands on the people with better judgment

by missmoss

Over the last year I have seen an astonishing spike in poor-quality output within multiple employers. The problem with AI coding, ticket filing, etc is that you must review it afterward, but review would take nearly as long as just doing it yourself. The 10x productivity gain becomes 1.05x.

The adopted solution to this, to meet internal targets, is to accept reduced quality. Flood the ticketing system with bogus reports, each with 5 paragraphs of technobabble. In response, you get similarly faulty AI-driven triage tools to deal with the slop. But the triage tools have the same problem: they just don't work that well. Plenty of garbage gets through, and plenty of actual issues get filtered out.

The first movers get some eye-popping numbers to show management, but the aggregate productivity of the corporation is unchanged at best.

So is the productivity increase an illusion? Depends how you look at it. Is the productivity boost for the corporation an illusion? Yes. But, most ICs are measured by tickets closed, commits pushed, lines of code written, and tokens used. Like it or not, that is the definition of "productivity" that has been given to ICs. They're just doing what they're told.

by ryukoposting

Economic productivity is an interesting perspective. I think you are right. Current AI spends too many resources but gets too few values (real values).

Too much hype in the process of AI development.

If analyzing the basic theory of LLM or AI (second hand data, data conversion, cognitive bias, etc.), this will make it more persuasive.

by lilerjee

This particular phrase captured my attention:

    > Productivity Is About (Much) More than Finishing Tasks Quickly
I read something similar in the book The Goal from Eliyahu Goldratt more than 20 year ago.

You can be highly productive and yet produce nothing of value.

by akagusu

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  • Hacker News
  • I can do a nice task with AI but can't easily schedule it.

    Enterprise controls make what could be a simple cron job into a nearly impossible scheduled task.

    So AI has to be one shot for me where I use it.

    So productivity is dramatically lower if I have to manually track and execute tasks as some kind of human scheduler system.

  • I think this calculation is bad? I mean, they take sand and produce AI chips, and then the AI chips turn electricity into entertainment. So highly productive use of resources. Global entertainment industry is $3 trillion, easily justifies investment when combined with coding usage. So restructuring the economy etc. - those are moonshots that are like the cherry on top.
  • bike shedding with 28 agents lets you do nothing at scale
  • My guess is AI mostly increases the throughput of low-quality output, and the cleanup burden lands on the people with better judgment
  • Over the last year I have seen an astonishing spike in poor-quality output within multiple employers. The problem with AI coding, ticket filing, etc is that you must review it afterward, but review would take nearly as long as just doing it yourself. The 10x productivity gain becomes 1.05x.

    The adopted solution to this, to meet internal targets, is to accept reduced quality. Flood the ticketing system with bogus reports, each with 5 paragraphs of technobabble. In response, you get similarly faulty AI-driven triage tools to deal with the slop. But the triage tools have the same problem: they just don't work that well. Plenty of garbage gets through, and plenty of actual issues get filtered out.

    The first movers get some eye-popping numbers to show management, but the aggregate productivity of the corporation is unchanged at best.

    So is the productivity increase an illusion? Depends how you look at it. Is the productivity boost for the corporation an illusion? Yes. But, most ICs are measured by tickets closed, commits pushed, lines of code written, and tokens used. Like it or not, that is the definition of "productivity" that has been given to ICs. They're just doing what they're told.

  • Economic productivity is an interesting perspective. I think you are right. Current AI spends too many resources but gets too few values (real values).

    Too much hype in the process of AI development.

    If analyzing the basic theory of LLM or AI (second hand data, data conversion, cognitive bias, etc.), this will make it more persuasive.

  • This particular phrase captured my attention:

        > Productivity Is About (Much) More than Finishing Tasks Quickly
    
    I read something similar in the book The Goal from Eliyahu Goldratt more than 20 year ago.

    You can be highly productive and yet produce nothing of value.