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I certainly think that people who use AI will replace people who don't. People that don't use AI won't be able to keep up, and the gap is only going to get wide

I certainly think that people who use AI will replace people who don't. People that don't use AI won't be able to keep up, and the gap is only going to get wider. I find the claim that AI will replace jobs outright pretty dubious, it's clickbait.

forgetfreeman 4y ago
Lol I remember when webmasters and in-house server administrators were dead-ass certain their jobs were safe too. Keep watching.
- zamalek 4y ago
  I use ChatGPT (with this plugin https://github.com/dpayne/CodeGPT.nvim https://github.com/dpayne/CodeGPT.nvim) pretty frequently. The output it produces requires a lot of massaging, but it is still faster than doing things from scratch. What experience of your contradicts that?
- hedora 4y ago
  With each “improvement” over running a rack of servers in a closet at the office, the fraction of each team I’ve worked in that is dedicated to system administration has increased. One part time person should be able to easily manage about a dozen physical machines. Good luck getting a part time person to set up a kubernetes cluster, ci pipeline for the containers, implement a bunch of custom operators, and then monitor the result.
  - cassianoleal 4y ago
    These are completely different scales though. If your systems can be run on a rack of servers in a closet at the office by a part-time sysadmin, you're probably better off doing that instead of running said k8s cluster. If you do need the scale of said k8s cluster, pipelines, operators, observability, on-call engineers etc, you're better off doing that but it does come at a cost.
    - hedora 4y ago
      The vast majority of the jobs are at the small end of the scale. Also, companies tend to just use best practices that were established for larger scale operations. For instance, in its heyday, the vast majority of Hadoop installations had under ten machines. I suspect the same is true of spark and kubernetes.
13years 4y ago
Apparently people who use AI will be equally replaced. Just this past week, hundreds of AI projects were made obsolete in a single moment as noted here when Google and Microsoft decided to make AI part of all their tools. https://www.youtube.com/watch?v=DH-2BHDYNfk https://www.youtube.com/watch?v=DH-2BHDYNfk Then, shortly after that, these multi million dollar models were shown to be almost replaceable by a $600 dollar model by leveraging the larger models to train the smaller model. https://www.youtube.com/watch?v=xslW5sQOkC8 https://www.youtube.com/watch?v=xslW5sQOkC8 It is going to be total bedlam with the disruptors disrupting the disruptors in faster and faster cycles.

forgetfreeman 4y ago

Lol I remember when webmasters and in-house server administrators were dead-ass certain their jobs were safe too. Keep watching.

zamalek 4y ago
I use ChatGPT (with this plugin https://github.com/dpayne/CodeGPT.nvim https://github.com/dpayne/CodeGPT.nvim) pretty frequently. The output it produces requires a lot of massaging, but it is still faster than doing things from scratch. What experience of your contradicts that?
hedora 4y ago
With each “improvement” over running a rack of servers in a closet at the office, the fraction of each team I’ve worked in that is dedicated to system administration has increased. One part time person should be able to easily manage about a dozen physical machines. Good luck getting a part time person to set up a kubernetes cluster, ci pipeline for the containers, implement a bunch of custom operators, and then monitor the result.
- cassianoleal 4y ago
  These are completely different scales though. If your systems can be run on a rack of servers in a closet at the office by a part-time sysadmin, you're probably better off doing that instead of running said k8s cluster. If you do need the scale of said k8s cluster, pipelines, operators, observability, on-call engineers etc, you're better off doing that but it does come at a cost.
  - hedora 4y ago
    The vast majority of the jobs are at the small end of the scale. Also, companies tend to just use best practices that were established for larger scale operations. For instance, in its heyday, the vast majority of Hadoop installations had under ten machines. I suspect the same is true of spark and kubernetes.

13years 4y ago

Apparently people who use AI will be equally replaced. Just this past week, hundreds of AI projects were made obsolete in a single moment as noted here when Google and Microsoft decided to make AI part of all their tools. https://www.youtube.com/watch?v=DH-2BHDYNfk https://www.youtube.com/watch?v=DH-2BHDYNfk Then, shortly after that, these multi million dollar models were shown to be almost replaceable by a $600 dollar model by leveraging the larger models to train the smaller model. https://www.youtube.com/watch?v=xslW5sQOkC8 https://www.youtube.com/watch?v=xslW5sQOkC8 It is going to be total bedlam with the disruptors disrupting the disruptors in faster and faster cycles.