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Actual report https://www.goldmansachs.com/intelligence/pages/gs-research/gen-ai-too-much-spend-too-little-benefit/report.pdf https://www.goldmansachs.com/intel
by rib3ye 2y ago
Actual report https://www.goldmansachs.com/intelligence/pages/gs-research/gen-ai-too-much-spend-too-little-benefit/report.pdf https://www.goldmansachs.com/intelligence/pages/gs-research/...
Right in the preamble
..despite these concerns and constraints, we still see room for the AI theme to run, either because AI starts to deliver on its promise, or because bubbles take a long time to burst.
- knowaveragejoe 2y agoOverhyped? Sure. Expensive? Definitely. Unreliable? Sometimes. So many HNers love to be contrarian about anything resembling a hype train, and feel validated when a report like this comes out. I think the reality is that people moving forward with integrating AI into various aspects of their business and reaping the rewards aren't here making snarky "I told you so" comments, which seems to be every other comment on this and the other threads about the same article.
- monero-xmr 2y agoHN is overwhelmingly pro-AI and on the LLM hype train. Silicon Valley and YC are largely only investing in that sector right now. Pretending there is some huge contrarian group here is absurd
- knowaveragejoe 2y agoAre they? Virtually every comment on this thread, and the two others from the past week, have a pretty negative sentiment overall if not more or less saying "I told you so"
- rsynnott 2y agoI mean, I think people are getting a little tired of the hype; not sure how many true believers there are at this point.
- Davidzheng 2y agoLosing faith at an (arguable) lull of two years are not the believers we need anyway. Some of us were believers even ten years ago.
- 93po 2y agothis is a really common problem online and HN too: some people think the general consensus is really biased one direction, and some people (reading the same material) think the opposite is true. i see people constantly ragging on LLMs as being infringing and bad and wanting to see them fail
- jncfhnb 2y agoSometimes unreliable is a very funny qualifier. If something were consistently unreliable then unreliable wouldn’t be the right term.
- knowaveragejoe 2y agoSometimes is the qualifier. What are you using it for and how are you using it? The barrier to consistent reliability with these tools is definitely above most organizations' grasp at this point, but that'll only improve with time.
- jncfhnb 2y agoIf something is reliable, it is, by definition, consistently reliable. If something is unreliable, it is, by definition inconsistently unreliable.
- sojournerc 2y agoBut, I've yet to see the "rewards". I see tech companies laying off staff with the expectation of AI taking up the slack while every piece of software I use gets shitier. Show me the bottom line improvement, or better tools, better art, better music... It just doesn't live up to the hype.
- knowaveragejoe 2y agoOthers can speak to the bottom line improvement. I'm sure for investors the "return" looks a lot different, but for my own uses various AI tools have been a major boon to my productivity.
- wredue 2y agoSuch as? I tried copilot once and it was pretty keen on sneaking itty bitty bugs in to my programs very frequently. It is fine for certain boiler plates, but it wasn’t “great” for anything that templates weren’t already great for.
- Davidzheng 2y agoThis is classic example of y intercept that the parents mean
- deleted 2y ago[deleted]
- Davidzheng 2y agoIt's not overhyped. It's correctly hyped because it's hard to estimate the upper bounds of the value AI can bring.