Customer relationship management software puts its details into structured fields, like many other types of software, a database of sorts. This user is saying that extra step is no longer needed. The AI is capable of extracting, summarizing, and structuring the data from emails, Slack, etc - thus no more need for the software anymore.
I've been wondering when current LLM AIs would start to master this ability. I suspect it will be one of the things it's good at. For many tasks, software usage patterns are relatively predictable and modelable. A trend with current AI, is for competitors and open-source to rapidly follow industry leaders. We can expect AI like this to be widely available in six months.
Many people's knowledge work employment is tied to software skills and experience. That premium is about to start diminishing. People are familiar with the concept of 'macros'; automating repetitive sequences of software usage. It seems all but inevitable AI will be doing something similar, but orders of magnitude greater, and that all the forces in free market economics will be driving it to replace expensive humans.
Yes, I also forgot to mention this tech is a safeguard against supply-side shocks. like with wheat after Russia attacked Ukraine.
Some people's reaction to this proposal might be to wonder why bother? We already have a functional agriculture system using sunlight that's been working for several thousand years. But there is a lot to be said for improving on it.
This approach could grow many foods where they can't currently be grown. Thus we could localize food production, and decentralize it. This could vastly reduce the waste of food transport. Furthermore, pollution from pesticides could be vastly reduced. It also allows us to think about rewilding huge swathes of our environments. Finally, this is an approach amenable to full automation. Ultimately that will reduce the price of food and its availability. Who knows, several decades from now, the standard way to produce food may be via indoor methods tended to by robot farmers.
Yeah, like everything the challenge is to get from the Lab to production. Perovskite solar cells, another type of solar cells that show great theoretical promise, have issues with long-term stability. Solar cells need to survive in tough conditions for many years to be useful. Here I would also wonder about the relative scarcity of gallium being a limiting factor.
Bet it's going to be China building most of the humanoid robots too.
apart from posting regularly, sadly I don't have many ideas. 😞😞
We've had real trouble growing this site from the reddit sub-reddit, and the promotional posts we've done, in total, have had tens of thousands of views
the people that own the machines have any interest in keeping us alive
I never take ideas like that seriously. Even in sci-fi, the concept seems wildly fanciful.
If AI/robotics follow the typical s-curve of technological adoption, I think the 2030s is most likely. We already seem to be at the beginning of that s-curve in 2024.
That's a hard no from me. I won't go near Google or Microsoft's latest AI offerings either. That said I'm using gen-AI in other contexts more and more. I'm fine with it, as long as it has strictly limited access to my data.
That is one way of looking at this. An alternative view is to say - "The day is coming when AI & robots can do all work, but for pennies on the hour" - will probably arrive by the 2030s. Every day we waste on pointless conversations that are destined to go nowhere, is a day we waste planning for the future. Worse than that, the chaos and despondency the AI/jobs threat creates, adds to the general conditions that are making the rise of fascism and the far right more prevalent.
The UBTECH one is definitely not as advanced as the Atlas one. But I would expect, like everything electronic, China will eventually have commoditized versions of robots that are functionally almost as good as more expensive ones, but much cheaper.
https://www.techeblog.com/unitree-g1-humanoid-robot-mass-production/