What are your opinions on this?

While I appreciate the sentiment I think the key difference here is that ML is actually helping people do their work either better or more easily. While Blockchain and NFTs mostly amounted to autofellatio. Meaning those technologies are only helpful if you are interested in using those technologies. Whereas ML has clearly been helpful for all kinds of professions not just Brogrammers

Don't forget the metaverse!

Dibs on Augmented Reality.

If I'm right do I win an angel investor?

Math requires insight that a language model cannot posess

Amen to that! Good maths & science teachers have struggled for decades (if not centuries) so that students understand what they're doing and don't simply give answers based on some words or symbols they see in questions [there are also bad teachers who promote this instead]. Because on closer inspection such answers always collapse. And now comes chatGPT that does exactly that instead – and collapses in the same way – and gets glorified.

Amen to what you say on infographic content as well 😂

😂 Great choice! I have a friend who wanted to be a fence erector, but after seeing this infographic had a change of hearts.

It's mostly BS. The only ones that really need to worry are jobs where doing things accurately don't really matter and where that work is very time consuming to do or there's an absolute ton of it (and also doesn't involve physically doing anything).

Types of jobs impacted would be tier one call center staff whose primary role is to function as a filter to tier two. Technically their job could be replaced with a pre-recorded message already, but people tend to ignore those so they're less effective than having a person just read a script to the caller. Other impacted jobs would be movie extras or very cheap actors where a wooden or slightly off performance could be ignored.

Lastly some jobs will be changed but not replaced. A lot of the initial work of things like concept artists, editors, certain kinds of script writers, and analysts will be generated and then they'll spend their time refining or fixing that initial copy. Ironically this will most likely lead to even more demand for those kinds of jobs as finding and fixing mistakes in generated content can be more time consuming than doing it right the first time.

The big elephant in the room of course is that it's going to be very expensive to run these systems, and you're going to need a whole group of high skill specialists to maintain and operate them. Just like self driving trucks you're just replacing a large group of low skill cheap workers with a medium sized group of high skill very expensive workers. Ultimately this will be far more expensive for companies, but for those that can afford it the increased volumes will offset the increased costs.

I think you’re underestimating the impact here. It obviously won’t replace all of the jobs in these fields, but even shortening or eliminating enough tasks will have impacts on employment levels. If fewer people can do the same amount of work, some of those people will be laid off.

One thing to note is that making an industry more efficient (like translating, which gpt is really good at, much better than google translate but not necessarily better than existing tools) comes with a decrease in the amount of jobs. Tech doesn't have to eliminate the human portion, but if it even makes one more human twice as efficient in their job, thats half the humans you need doing that job for the same amount of work output.

That being said this is not a great infographic for this topic.

I think the utility for technical papers and documents may be a bit overstated as well. There's usually templates for these documents if possible. If not, the topic is broad enough that I don't think you could provide a suitable prompt to generate meaningful text.

Course that's just my 2 cents as someone who's approaching this as highly skeptical. We should see how it performs in these areas and test it out. It's just premature to make employment or policy decisions, imo.

Because blockchain is useless and no one is investing in that space anymore because GPT is the new shiny object. Kind of hard to become a blockchain engineer when interest rates aren’t 0%, investors are doing due diligence, and the marketing buzzword train has left the station. Even clueless VCs and MBAs now know blockchain was all hype around selling libertarian fantasies to people who don’t read books.

You're going to have an unacceptably high failure rate as you attempt to trial-and-error your way through all the lower-probability problems. Meanwhile, independent research paths aiming at general AI, which absolutely could handle all these problems, is racing you.

if we don’t adopt UBI, universal healthcare, and some amount of subsidized housing

This has been my stance for years. Automation is coming for all of us. The only reason LLMs are so controversial is that everyone in power assumed automation was coming for the blue collar jobs first, and now that it looks like white collar and creative jobs are on the chopping block, suddenly it's important to protect people's jobs from automation, put in safety nets, etc, etc.

Forgive my cynicism. haha