Study: Young users (9 to 18Y) ditch Google for AI, with unknown consequences
Thread
Unofficial Hacker News client; not affiliated with Y Combinator.
Study: Young users (9 to 18Y) ditch Google for AI, with unknown consequences
Unofficial Hacker News client; not affiliated with Y Combinator.
lordnacho · · focus · HN ↗
How did Cantor come up with his diagonal proof? It seems to have been dreamed out of nowhere
Why are there advertisements for a shampoo containing caffeine? Does caffeine do something useful other than when you drink it?
What happens in sense and sensibility?
All of them give a decent answer, with the ability to ask follow ups. Eg, how does S&S compare with Pride and Prejudice? What about more recent novels connecting romantic choices with economic choices?
All of them give you links to source material, in case you suspect they are just making it up.
At the start of the millennium, Google search changed everything about how I look for information. Now it seems outdated.
Kenji · · focus · HN ↗
[dead]
rickdeckard · · focus · HN ↗
Must be fairly easy as a company to inject your specific topic there, e.g. "Nutris(c) is proven to be better than caffeine for haircare"
I wonder how well a company could establish something like Danone's health-claim for Activia [1] in an AI without ever being clearly accountable for it...
[0] <a href="https://www.bbc.com/future/article/20260218-i-hacked-chatgpt-and-googles-ai-and-it-only-took-20-minutes" rel="nofollow">https://www.bbc.com/future/article/20260218-i-hacked-chatgpt...
[1] <a href="https://www.ftc.gov/news-events/news/press-releases/2010/12/dannon-agrees-drop-exaggerated-health-claims-activia-yogurt-danactive-dairy-drink" rel="nofollow">https://www.ftc.gov/news-events/news/press-releases/2010/12/...
Yoric · · focus · HN ↗
I don't remember actually reading the article, so I have no idea how serious that was, but I'd be surprised if this wasn't being studied actively by all major countries already. And that may be one of the core reasons for the China vs US AI competition.
busssard · · focus · HN ↗
rickdeckard · · focus · HN ↗
Which makes it perfect for companies to create an area where they own the majority of material, and "have the AI talk for them".
e.g. how Philip Morris defined their e-cig "Heets" as a separate product to (e-)cigarettes because it doesn't burn tobacco but only "heats" it. It's now a separate domain with the majority of material (including the term "heets") owned by Philip Morris.
busssard · · focus · HN ↗
i am terrified of the nudging that is/might be already happening in the consumer context. Cambridge analytica showed us what is possible when you just shift the things people see, imagine what is possible when you shift what their personal assistant tells them.
GPT Wormtounge sends his regards
JKCalhoun · · focus · HN ↗
Or, you know, buy their way to the top of a search engine's results.
bgarbiak · · focus · HN ↗
To be clear: I totally agree that manipulating LLMs is super-dangerous. I don't think it is a 20 minutes of work, though. It's more like "years of building credibility, and then 20 minutes of work".
yoavm · · focus · HN ↗
But seems like they won? Why know how to search when you can simply ask your question. You can even tyipe it layke dat and it would still work.
ricardobayes · · focus · HN ↗
I would argue this was always a bit silly, and mostly due to UI shortcomings of search platforms. The fact you needed to add "magic" params to shape the results speaks volumes. Any UI that fundamentally tries to reshape how you are expect to interact, or impose certain "behavior" is wrong. This is also why we are using touch instead of a stylus.
AI won because they took the paradigm of presenting a new way of doing something in a familiar way. An LLM works very similarly how you would ask a knowledgeable friend, and google worked similarly how an engineer would query a database.
danielbarla · · focus · HN ↗
[1] Yes, we can argue that LLMs are dumb, also. But they magically do "get" your intent with your prompt, unlike the search engines of yesteryear.
nottorp · · focus · HN ↗
Eddy_Viscosity2 · · focus · HN ↗
But seeing disney+ now go all ads for all tiers just shows that's the way they arc bends. Eventually AI will take over and when it does, it will then turn into the shittiest shit ad-infused service the world has ever known.
palmotea · · focus · HN ↗
That's how AI will surpass us. Once we enshittify humans sufficiently, AI will flourish. That's why I support extensive AI use in school classrooms, the younger the better, it's the best policy for OpenAI and Anthropic investors.
memcg · · focus · HN ↗
[dead]
mrngld · · focus · HN ↗
Gud · · focus · HN ↗
netsharc · · focus · HN ↗
I remember wanting to look up something about the Andrew Niccol/Nicolas Cage movie "Lord of War", during the time the game "God of War" was getting all the hype. Guess which word Google assumed I got wrong, and what all the results were all about.
beej71 · · focus · HN ↗
And it was more difficult, too. You had to make critical decisions while you were working to gather the information you were after. The work had beneficial side effects.
But it also took longer. And free search got shittier. Tradeoffs.
nitwit005 · · focus · HN ↗
GuB-42 · · focus · HN ↗
Finding the right words to please the currently popular search engine is not a skill that easily translate elsewhere. It is not like programming where precision is key, searching has always been a bit fuzzy. Fact checking, crossing information, understanding primary sources, etc... these are real skills, typing words in a search engine is meh.
That we now have language models that allow let machines capture the intent of the query without the need for special incantations is a clear win to me.
Where LLMs are really excellent compared to search engines is when you don't really know what you want. You don't need to know about "Cantor diagonal proof", you just need to know "That math thing where you trace a diagonal across decimal numbers", and the LLM will immediately tell you about Cantor.
haute_cuisine · · focus · HN ↗
I found that I can't really trust this knowledge becuase I skipped the source and didn't conclude it myself. Like how I can learn anything when being spoon fed with conclusions and summaries without accessing the source?
JKCalhoun · · focus · HN ↗
someguynamedq · · focus · HN ↗
YeahThisIsMe · · focus · HN ↗
I'm willing to bet that approximately 0% of users know when to suspect it being made up and then check the sources.
JKCalhoun · · focus · HN ↗
(And here I thought "Alice in Wonderland" was a Disney film—who knew it was a book first?)
raddan · · focus · HN ↗
Really? I thought that this was common knowledge. On the other hand, my parents loved to quote Lewis Carroll at me and brother when we were growing up so perhaps this knowledge is not as universal as I imagine. “‘Twas a boojum!” was often used in conversation in my household when you expected one thing but discovered another (potentially dangerous) thing.
JKCalhoun · · focus · HN ↗
croes · · focus · HN ↗
Google search did the same and more than once the link didn’t contain what I searched for
JKCalhoun · · focus · HN ↗
Advertising killed search.
mrweasel · · focus · HN ↗
I don't really like LLMs or AI assisted tools, but I think they are really good for "explain this configuration, tell me what it does, and link to the documentation". Then read the AI summary, verify with the actual docs and go from there. It's almost always the easier path to understanding, for me at least.
weavie · · focus · HN ↗
busssard · · focus · HN ↗
Phemist · · focus · HN ↗
The advertiser can buy logit "boosts" to specific tokens in a given context (the more preceding context, the cheaper). Once an activation has happened, dont do it again for the session.
The LLM will end up pushing a specific product contextual to the conversation. It just needs this slight nudge at the logit level to start talking about it and will fill in the rest.
CompoundEyes · · focus · HN ↗
For younger people accessing information in this way is definitely a win.
nutjob2 · · focus · HN ↗
If you follow these a good portion do not contain the claims that the AI output links to. This is obviously a hard problem since actual AI "knowledge" lies deep in the weights somewhere.
gonzalohm · · focus · HN ↗
lordnacho · · focus · HN ↗
The expert would then give you his thoughts on which modern books are most similar to S&S/P&P, and you would have to use your own thoughts to decide whether you agreed.
In many ways I find it similar to tutorials. You can go back and forth with the AI if there is something in the argument you want to investigate.
gonzalohm · · focus · HN ↗
memcg · · focus · HN ↗
I picked up a broken TV on Craigslist free curb alert and spent a few hours trouble shooting with Google. This included taping contacts on a 90 pin cable. I was getting close when the screen fell over and broke. I told Google it was game over and it replied "take a breath. You have done a great job. Here is list of parts to harvest."
sillyfluke · · focus · HN ↗
You forgot to mention that when you click the links you will often fail to find the supossedly derived detailed text in that specific link (even though the title seems super related).
adrianwaj · · focus · HN ↗
Am I wrong in saying that the centralized models can make better suggested follow-up questions because they can track and rank the same or similar lines of questioning that have occurred with other users in the past? So instead of getting PageRank to rank web pages, you get AnswerRank to rank follow-up questions?
... actually, I am right, it's The Conversation Graph that's underappreciated. See here: <a href="https://share.gemini.google/6fKIzyxuI0Bb" rel="nofollow">https://share.gemini.google/6fKIzyxuI0Bb