"Achieving the initial 80 percent is relatively straightforward since it involves approximating a large amount of human data, Marcus said, but the final 20 percent is extremely challenging. In fact, Marcus thinks that last 20 percent might be the hardest thing of all." 100% completely accurate is super-AI-complete. No human can meet that goal either. No, not even you, dear person reading this. You are wrong about som…
“No, not even you, dear person reading this. You are wrong about some basic things too.” But even when I’m wrong I’m not 100% off. Not “to help with depression jump of a bridge” or “use glue to keep the cheese on the pizza” kind of wrong.
Google scrambles to manually remove weird AI answers in search
331–340 of 387 posts
Re: Google scrambles to manually remove weird AI answers in search
#332Earlier quoted context omitted.
100% correct , 80% correct lol. The thing is that truth/reality is not a thing that is resolvable. Not even the scientific method has this sort of expectation! You can imagine getting close to those percentages, with regards to consensus opinion. That's just a question of educating people to respond appropriately.
No. Whether a person should eat a certain number of small rocks each day is not a matter of opinion, it's not a deep philosophical problem and it's not a question whose truth is not resolveable. You should not be eating rocks.
Re: Google scrambles to manually remove weird AI answers in search
#333Before AI, before we had to append "reddit" to get useful human knowledge.
Re: Google scrambles to manually remove weird AI answers in search
#334Earlier quoted context omitted.
The problem is that for some searches and answers Reddit or other social media is fine.
No, it isn't. Humans interacting with human-generated text is generally fine. You cannot unleash a machine on the mountains of text stored on reddit and magically expect it to tell fact from fiction or sarcasm from bad intent.
I didn't say you could, but that a machine can't decode the mountains of text doesn't mean that the answer isn't (perhaps only) on Reddit. I don't think people would be that interested in search engine that just serves content from books and academic papers.
Re: Google scrambles to manually remove weird AI answers in search
#335Earlier quoted context omitted.
So what? You have no way to know for sure if the human you ask the same question, does either. The question that started this thread was related to verifiability. And i still think it is a spurious complaint, given that we have exactly the same limitations when dealing with any human agent.
The problem of other minds is no reason to throw everything out the window. Humans are capable of being conscious of their reasoning processes; token-at-a-time predictive text models wired up as chatbots aren't capable of it. Your choice is between a possibly-mistaken, possibly-lying human, and a 100%-definitely incapable computer program. You don't know either "for sure", but you don't know that the external world e…
Re: Google scrambles to manually remove weird AI answers in search
#336Earlier quoted context omitted.
I sometimes wants a search engine, sometimes a question engine. Likewise at the store. Why not have both with a way to choose which one I want on the moment?
> I sometimes wants a search engine, sometimes a question engine. If you want a search engine, it's easy to use the results as a feedback to refine the query. But a question (answer?) engine would need to be an expert in the subject. And not parroting stuff. That usually means curation. You need something to do the work ahead to filter the wheat from the shaft. I don't see how LLMs can do that. LLMs can't be a search…
If it's in the training data, then it should be able to do that. That is to say, a comment's points matter. and the subreddit it's on. and who said it, and how the rest of their comments do/where they are. The LLM could annotate the unredacted reddit dataset with metadata as to where to rate it on the words used, the accuracy of the information, the sarcasm quotient, the hilarity quotient, how condescending the comment is; all of that an LLM could generate metadata about and feed into itself to get better and better.
Re: Google scrambles to manually remove weird AI answers in search
#337Earlier quoted context omitted.
> LLMs so far seem to be entirely unverifiable. I don't understand this complaint. Are they any less verifiable than a human?
I can ask a human to explain the steps they took to answer a question. I can ask a human a question 100 times and I don't get back 100 different answers. None of those applies to an LLM.
With respect to repeatability, yes, LLMs are currently frozen in time. That is not an inherent limitation, but it is one that is practical for a lot uses and a problem for some.
Re: Google scrambles to manually remove weird AI answers in search
#338Earlier quoted context omitted.
You can ask an LLM to explain itself.. it will give you a logical stepwise progression from your question to its answer. It will often contain a mistake, but the same is true for a human. And if your LLM is giving you 100 different answers, then it has been configured to do so. Because instead, it could be configured to never vary at all. It could be 100% reproducible if so desired.
> it will give you a logical stepwise progression from your question to its answer. No, it will generate a new hallucination that might be a logical stepwise progression from the question you asked to the answer you gave, but it is not due to any actual internal reasoning being done by the LLM
Re: Google scrambles to manually remove weird AI answers in search
#339Earlier quoted context omitted.
So what? You have no way to know for sure if the human you ask the same question, does either. The question that started this thread was related to verifiability. And i still think it is a spurious complaint, given that we have exactly the same limitations when dealing with any human agent.
> You have no way to know for sure if the human you ask the same question, does either. The human might lie, but they generally don't. An LLM is always confabulating when it explains how it reached a conclusion, because that information was discarded as soon as it picked a word. The limitations are not in the same ballpark.
There is no basis for claiming to know that people don't usually make up explanations like this other than when e.g. breaking the process apart and writing it down step by step during. But even then individual decisions are "suspect".
Re: Google scrambles to manually remove weird AI answers in search
#340Earlier quoted context omitted.
Institutional investors panic > board panics > executives panic > evps panic and dictates incentives to ship AI > directors, ems, and below, who actually know how shit works, take a submissive role because they have mortgages in Mountain View to pay. That’s how it happens.
Not sure if anyone below director can afford a mortgage in Mountain View.
An L4 engineer at Google makes like $300k. round down to $200k post tax. live in shared housing for $2000/month; that's $24k/yr, add $2000/month living expenses on top of that, is another $24k. Stick $2000/month into 401k, Save the rest (200-24-24-24 ) 128k and you'll save up $140k in a bit over a year.
bam; owner, not renter.
Now, whether this is better than renting, and putting the money into the stock market is totally other question, but even L4's at Google can afford a mortgage in Mountain View.
https://www.zillow.com/homedetails/50-E-Middlefield-Rd-APT-4...