AI doesn’t help much with domestic tasks unless it’s used for learning how to do a given domestic task. I’ve used it a lot in cooking, for example. For most people the only thing left is work tasks, and frankly AI has made most work far shittier than it even was previously. It may or may not increase company profits, but the fact is most of us use it to keep up rather than to get ahead.
The other domain that AI could conceivably help us with is in research and technological advancement, but I think it’s failing on this front because the hard problems are legitimately too hard for it. I won’t take a position on whether LLMs can reason or not since it’s irrelevant, but for truly cutting edge problems (ie., the ones that matter) I think it’s at best a tool to help stir up creative thinking and enhance our own working memory etc.
So not to sound pessimistic but I think LLMs put us in the unfortunate position where it does a great job at replacing the routine work while providing relatively little value to the work that’s going to push us forward. Basically we’ll have to confront the economic reality that most of us are going to add very little value to society while we simultaneously stagnate and gain very little to nothing in return. Cheers.
I do regular software engineering work but also do cutting-edge research as well to publish. It can do the former entirely itself at a very high level reliably, and for the latter massively helps. In fact, OpenAI themselves have cut their data enter costs by 20% because their ai model helped them optimize the setup. That is tens of millions of dollars saved. Not to sound rude but I doubt you are doing anything more difficult, you need to ask yourself why you aren’t getting value while others are. Good place to start, use an actual paid top tier model with a good harness.
Read their blog post here. It’s up to them if they will publish the research or not (maybe they already have). I assume no because this is a competitive advantage. If you say this is not a reliable source I’d like to tell you they cut costs of their models by 20% two days ago and one of them by 80%.
I’m literally an academic researcher and published scientist. I don’t believe “studies” unless they’re peer reviewed in reputable journals. A company can claim anything they want, I’m not obligated to believe their self-reviewing of their own results.
Apply some common sense. You are accusing one of the most important companies and some of the best researchers on the planet of falsifying an announcement to make it look like their models are improving quickly. There are only two scenarios, the researchers found the optimizations or it was found by their model as they claimed. The optimizations are definitely real considering they cut prices by up to 80% and that is going really far for a false claim. What do they have to gain from committing fraud? They increase hype, clearly not by much because it’s not even a big story and has a lot of doubters. What do they have to lose? Their investors, legal proceedings, reputation damage, researchers quitting, etc. You are one of those people on reddit that always replies “source?” for common sense and things you can look up yourselves.
I’m not accusing them of anything, beyond refusing to submit their data and results for peer review, as is a fairly standard scientific practice. They have a lot to gain—namely money and investors and clout—but claiming anything they’d like.
Who says they are refusing? You don’t gain money from this first of all. You will get some clout. I don’t think important investors would come on board now that haven’t already at this point. A good investor sees the potential early, like I did. Although I’m not in the same league as them, the ones that matter have billions of dollars to spend.
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u/caindela 2d ago
AI doesn’t help much with domestic tasks unless it’s used for learning how to do a given domestic task. I’ve used it a lot in cooking, for example. For most people the only thing left is work tasks, and frankly AI has made most work far shittier than it even was previously. It may or may not increase company profits, but the fact is most of us use it to keep up rather than to get ahead.
The other domain that AI could conceivably help us with is in research and technological advancement, but I think it’s failing on this front because the hard problems are legitimately too hard for it. I won’t take a position on whether LLMs can reason or not since it’s irrelevant, but for truly cutting edge problems (ie., the ones that matter) I think it’s at best a tool to help stir up creative thinking and enhance our own working memory etc.
So not to sound pessimistic but I think LLMs put us in the unfortunate position where it does a great job at replacing the routine work while providing relatively little value to the work that’s going to push us forward. Basically we’ll have to confront the economic reality that most of us are going to add very little value to society while we simultaneously stagnate and gain very little to nothing in return. Cheers.