Yes
And..?
Spending on AI Is at Epic Levels. Will It Ever Pay Off?
51–60 of 84 posts
Re: Spending on AI Is at Epic Levels. Will It Ever Pay Off?
#52Earlier quoted context omitted.
I have been in teams that do this and in teams that dont. I have not see any tangible difference in the output of both.
year-over-year we are at around 45% in increased productivity and this trajectory is on an upward slope
This reads like the bullshit bulletpoints people write on their CV.
Re: Spending on AI Is at Epic Levels. Will It Ever Pay Off?
#53Re: Spending on AI Is at Epic Levels. Will It Ever Pay Off?
#54Earlier quoted context omitted.
Altman says in a few years Chat GPT 8 will solve quantum physics
"Solve quantum physics" meaning generating closed-form solutions to the Schrodinger equation for atoms of any composition? Of arbitrary molecules? Good luck with that... Even for the hydrogen atom, the textbook said "so it happens that just so happens to solve this equation", instead of the derivations one would normally expect. I doubt we have even invented the math to solve the equations much above the hydrogen ato…
My mistake, he did not say solve quantum physics.
He did say if Chat GTP 8 creates a theory of quantum gravity... I can't... that will mean we have reached AGI.
Re: Spending on AI Is at Epic Levels. Will It Ever Pay Off?
#55It’s not like anyone is going in debt to pay for gpu’s though. So it’s probably ok. Now if banks start selling 30 year mortgages for gpu’s, I might get a little worried.
Oracle is going to use debt to finance the buildout of AI cloud infrastructure to meet their obligations to customers. They’re the first hyperscaler to do so. Made the news two weeks ago.
Yikes. Oracle just issued 40 year mortgages , I mean bonds. Ok, you can be a little worried now. There balance sheet looks a lot like Coreweave or mstr. I guess the market will allow it for some more time. Nvidia gpu treasury companies can sell a dollar worth of future gpu for $2 for some time I guess. Of course I won’t be buying oracle or mstr… but bitcoin and gpu’s are still fine.
Re: Spending on AI Is at Epic Levels. Will It Ever Pay Off?
#56While it has its uses I have yet to see a single use case, or combination of use cases, that warrants the insane spending. Not to mention the environmental damage and wide spread theft and copyright infringement required to make it work.
The people funding this seem to believe that firstly text inference and gradient descent can synthesize a program that can operate on information tasks as good or better than humans, secondly that the only way of generating the configuration data for those programs to work is by powering vast farms of processors doing matrix arithmetic but requiring the worlds most complex supply chain tethered to a handful of geopol…
I tougth what you wrote was crazy wasteful, then I remember the world runs on js.
Re: Spending on AI Is at Epic Levels. Will It Ever Pay Off?
#57Related:
Cost of AGI Delusion
https://news.ycombinator.com/item?id=45395661
AI Investment Is Starting to Look Like a Slush Fund
Re: Spending on AI Is at Epic Levels. Will It Ever Pay Off?
#58Earlier quoted context omitted.
I'd suggest a better analogy would be telecommunications fiber[1]. [1] https://internethistory.org/wp-content/uploads/2020/01/OSA_B...
Fiber is a decades long investment into hardware- one that I would argue we hardly needed. Google fiber started with the question, what would people do with super high speed? The answer was stream higher quality videos and that's about it. In fact, by the time fiber became widespread, many had moved off of PCs to do the majority of their Internet use via cell phones. With that said, the fiber will be good for many ye…
We reemplaced one tech that was used by literally the whole world, pair copper wires, with something orders of magnitude better and future proof. My pc literally cant handle the bandwidth of my fiber connection.
We did not need it? Did you ever used DSL?
What is AI replacing? People?
Re: Spending on AI Is at Epic Levels. Will It Ever Pay Off?
#59Earlier quoted context omitted.
How are you getting these results? Even with grounding in sources, careful context engineering and whatever technique comes to your mind we are just getting sloppy junk out of all models we have tried. The sketchy part is that LLMs are super good at faking confidence and expertise all while randomly injected subtle but critical hallucinations. This ruins basically all significant output. Double-checking and babysitti…
I genuinely think that biggest issue LLM tools is that most people expect magic because first attempts at some simple things feel magical. however, they take insane amount of time to get expertise in. what is confusing is that I think SWEs spent immense amounts of time in general learning the tools of the trade but this seems to escape a lot of people when it comes to LLMs. on my team, every developer is using LLMs a…
Where are you finding the best material for reading/learning?
Re: Spending on AI Is at Epic Levels. Will It Ever Pay Off?
#60[dead]