Retool, a development platform for business software, recently published the results of its State of AI survey. Over 1,500 people took part, all from the tech industry:...
Over half of all tech industry workers view AI as overrated::undefined
No. It’s not and hasn’t been for at least a year. Maybe the ai your dealing with is, but it’s shown understanding of concepts in ways that make no sense for how it was created.
Gotta go.
As you can see, the past year has shed a lot of light on the topic.
One of my favorite facts is that it takes on average 17 years before discoveries in research find their way to the average practitioner in the medical field. While tech as a discipline may be more quick to update itself, it’s still not sub-12 months, and as a result a lot of people are continuing to confidently parrot things that have recently been shown in research circles to be BS.
Best assessment I’ve heard: Current AI is an aggressive autocomplete.
Nice one! I have heard it called a fuzzy JPG of the internet.
And that’s entirely correct
No. It’s not and hasn’t been for at least a year. Maybe the ai your dealing with is, but it’s shown understanding of concepts in ways that make no sense for how it was created. Gotta go.
Maybe if you Interpret it’s output as such.
Too bad it’s bullshit.
If you are actually interested in the topic, here’s a few good reads:
Do Large Language Models learn world models or just surface statistics? (Jan 2023)
Actually, Othello-GPT Has A Linear Emergent World Representation (Mar 2023)
Eight Things to Know about Large Language Models (April 2023)
Playing chess with large language models (Aug 2023)
Language Models Represent Space and Time (Oct 2023)
The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets (Oct 2023)
As you can see, the past year has shed a lot of light on the topic.
One of my favorite facts is that it takes on average 17 years before discoveries in research find their way to the average practitioner in the medical field. While tech as a discipline may be more quick to update itself, it’s still not sub-12 months, and as a result a lot of people are continuing to confidently parrot things that have recently been shown in research circles to be BS.