I am tech founder, who spends most of my day in my own startup deploying LLM-based tools into my own operations, and I'm maybe 1% of the way through the roadmap I'd like to build with what exists and is possible to do today.
Not even close. Software can now understand human language... this is going to mean computers can be a lot more places than they ever could. Furthermore, software can now understand the content of images... eventually this will have a wild impact on nearly everything.
To push this metaphor, I'm very curious to see what happens as new organic training material becomes increasingly rare, and AI is fed nothing but its own excrement. What happens as hallucinations become actual training data? Will Google start citing sources for their AI overviews that were in turn AI-generated? Is this already happening?
I figure this problem is why the billionaires are chasing social media dominance, but even on social media I don't know how they'll differentiate organic content from AI content.
Agreed. A hot take I have is that I think AI is over-hyped in its long-term capabilities, but under-hyped in its short-term ones. We're at the point today or in the next twelve months where all the frontier labs could stop investing any money into research, they'd still see revenue growth via usage of what they've built, and humanity will still be significantly more productive every year, year-over-year, for quite a bit, because of it.
The real driver of productivity growth from AI systems over the next few years isn't going to be model advancements; it'll be the more traditional software engineering, electrical engineering, robotics, etc systems that get built around the models. Phrased another way: If you're an AI researcher thinking you're safe but the software engineers are going to lose their jobs, I'd bet every dollar on reality being the reverse of that.
EA-3167|10 months ago
jdross|10 months ago
dicroce|10 months ago
kokanee|10 months ago
I figure this problem is why the billionaires are chasing social media dominance, but even on social media I don't know how they'll differentiate organic content from AI content.
tough|10 months ago
idk AI is just a speck outside of the HN and SV info-bubbles
still early to mass adoption like the smartphone or the internet, mostly nerds playing w it
827a|10 months ago
The real driver of productivity growth from AI systems over the next few years isn't going to be model advancements; it'll be the more traditional software engineering, electrical engineering, robotics, etc systems that get built around the models. Phrased another way: If you're an AI researcher thinking you're safe but the software engineers are going to lose their jobs, I'd bet every dollar on reality being the reverse of that.
awsanswers|10 months ago