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I just gave it a whirl. Pretty neat, but definitely watch out for hallucinations. For instance, I asked it to compile a report on myself (vain, I know.) In this
by timabdulla 2y ago
I just gave it a whirl. Pretty neat, but definitely watch out for hallucinations. For instance, I asked it to compile a report on myself (vain, I know.) In this 500-word report (ok, I'm not that important, I guess), it made at least three errors.
It stated that I had 47,000 reputation points on Stack Overflow -- quite a surprise to me, given my minimal activity on Stack Overflow over the years. I popped over to the link it had cited (my profile on Stack Overflow) and it seems it confused my number of people reached (47k) with my reputation, a sadly paltry 525.
Then it cited an answer I gave on Stack Overflow on the topic of monkey-patching in PHP, using this as evidence for my technical expertise. Turns out that about 15 years ago, I _asked_ a question on this topic, but the answer was submitted by someone else. Looks like I don't have much expertise, after all.
Finally, it found a gem of a quote from an interview I gave. Or wait, that was my brother! Confusingly, we founded a company together, and we were both mentioned in the same article, but he was the interviewee, not I.
I would say it's decent enough for a springboard, but you should definitely treat the output with caution and follow the links provided to make sure everything is accurate.
- giarc 2y agoWhat's faster? Writing a 500 word report "from scratch" by researching the topic yourself, vs. having AI write it then having to fact check every answer and correct each piece manually? This is why I don't use AI for anything that requires a "correct" answer. I use it to re-write paragraphs or sentences to improve readability etc, but I stop short of trusting any piece of info that comes out from AI.
- mdp2021 2y ago> Then it cited an answer I gave on Stack Overflow [...] using this as evidence for my technical expertise. Turns out that about 15 years ago, I _asked_ a question on this topic, but the answer was submitted by someone else Artificial dementia... Some parties are releasing products much earlier than the ability to ship well working products (I am not sure that their legal cover will be so solid), but database aided outputs should and could become a strong limit to that phenomenon of remembering badly. Very linearly, like humans: get an idea, then compare it to the data - it is due diligence and part of the verification process in reasoning. It is as if some moves outside linear pure product progress reasoning are swaying the RnD towards directions outside the primary concerns. It's a form of procrastination.
- RobinL 2y agoInteresting You might find it amusing to compare it to: https://hn-wrapped.kadoa.com/timabdulla https://hn-wrapped.kadoa.com/timabdulla (Ref:https://news.ycombinator.com/item?id=42857604 https://news.ycombinator.com/item?id=42857604)
- wholinator2 2y agoThis is... very uncomfortable. An (expanded) AI summary of my HN and reddit usage would appear to be a pretty complete representation of my "online" identity/character. I remember when people would browse your entire comment history just to find something to discredit you on reddit, and that behavior was _heavily_ discouraged. Now, we can just run an AI model to follow you and sentence you to a hell of being permanently discredited online. Give it a bunch of accounts to rotate through, send some voting power behind it (reddit or hn), and just pick apart every value you hold. You could obliterate someone's will to discuss anything online. You could effectively silence all but the most stubborn, and those people you would probably drive insane. It's a very interesting usecase though, filter through billions of comments and give everyone a score on which real life person they probably are. I wonder if say, Ted Cruz hides behind a username somewhere.
- throwaway519 2y agothrowaway/anonymous. not just for when discussion of the content not the personality behind it is important.
- dlivingston 2y agoI put my profile in [0] and it's mostly silly; a few comments extracted and turned into jokes. No deep insights into me, and my "Top 3 Technologies" are hilariously wrong (I've never written a single line of TypeScript!) [0]: https://hn-wrapped.kadoa.com/dlivingston https://hn-wrapped.kadoa.com/dlivingston
- ComputerGuru 2y agoThat.. seems to just take a few (three or four) random comments that received some attention and then extrapolate an entire profile based on (incorrectly) interpreting their contents? https://hn-wrapped.kadoa.com/ComputerGuru https://hn-wrapped.kadoa.com/ComputerGuru
- prof-dr-ir 2y ago> Pretty neat, but definitely watch out for hallucinations. That would be exactly my verdict of any product based on LLMs in the past few years.
- toasteros 2y ago"Pretty neat, but definitely watch out for hallucinations." We'd never hire someone who just makes stuff up (or at least keep them employed for long). Why are we okay with calling "AI" tools like this anything other than curious research projects? Can't we just send LLMs back to the drawing board until they have some semblance of reliability?
- oldstrangers 2y ago> Can't we just send LLMs back to the drawing board until they have some semblance of reliability? Well at this point they've certainly proven a net gain for everyone regardless of the occasional nonsense they spew.
- aiono 2y agoNo, from the research around it the findings are mixed. There is no consensus that it's net gain.
- DanHulton 2y agoThat is... debatable. You may be entirely inside the bubble, there.
- orangepanda 2y agoYou overestimate the importance of being correct
- taikahessu 2y agoNot sure if this was posted as humour, but I don't feel that way. In today's world, where I certainly would consider taking the blue pill, I'm having a blast with LLMs! It has helped me learn stuff incredibly faster. Especially I find them useful for filling the gaps of knowledge and exploring new topics in my own way and language, without needing to wait an answer from a human (that could also be wrong). Why does it feel, that "we are entirely inside the bubble" for you?
- vessenes 2y agoInteresting! I wonder if it’s carried over too much of that ‘helpful’ DNA from 4o’s RLHF. In that case, maybe asking for 500 words was the difficult part — it just didn’t have enough to say based on one SO post and one article, but the overall directives assume there is, and so the model is put into a place where it must publish.. Put another way, it seems this model faithfully replicates the incentives most academics have — publish a positive result, or get dinged. :) Did it pick up your HN comments? Kadua claims that’s more than enough to roast me, … and it’s not wrong. It seems like there’s enough detail about you (or me) there to do a better job summarizing.
- timabdulla 2y agoI didn't actually give it a goal of writing any particular length, but I do think that perhaps given my not-so-large online footprint, it may have felt "pressured" to generate content that simply isn't there. It didn't pick up my HN comments, probably because my first and last name are not in my profile, though obviously that is my handle in a smooshed-together form.
- brushfoot 2y agoI disagree that this is a useful springboard. And I say that as an AI optimist. A report full of factual errors that a careful intern wouldn't make is worse than useless (yes, yes, I've mentored interns). If the hard part is the language, then do the research yourself, write an outline, and have the LLM turn it into complete sentences. That would at least be faster. Here's the thing, though: If you do that, you're effectively proving that prose style is the low-value part of the work, and may be unnecessary. Which, as much as it pains to me say as a former English major, is largely true.
- machiaweliczny 2y agoThis is very bearish for current AI. Seems like 99% reliability is still too small with compounding errors. But I wonder of this is inherently specific to longer context or if this just depends on how it’s trained. In theory longer context => more errors Although I think people are the same, too big problem and you are getting lost unless taking it in bites, so seems like OpenAI implementation is just bad because o3 hallucination benchmark shouldn’t lead to such poor performance
- Bjorkbat 2y agoSo, I still think this is a cool tool for search reasons, but otherwise the tendency to hallucinate makes it questionable as a researcher. Hypothetically speaking, if the time you saved is now spent verifying the statements of your AI researcher, then did you really save any time at all? If the answers aren't important enough to verify, then was it ever even important enough to actually research to begin with?