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The most talented person in the world

matt.sh

61–70 of 155 posts

Re: The most talented person in the world

#61
post #31

Earlier quoted context omitted.

We don't need to. We have LLMs now

Which LLMs stay current and link their sources? If I have to wait on the LLM to search for me, I'd rather just do the search myself. What if I want to search for something the LLM can't show me? Or something I want to watch or interact with that isn't an LLM?

GPT-4o serves up results that look like Perplexity's, except the sources are actually relevant links.

All of that to say: solved problem? Assuming you're ok with chat as the UI

Re: The most talented person in the world

#62
post #31

Earlier quoted context omitted.

We don't need to. We have LLMs now

Which LLMs stay current and link their sources? If I have to wait on the LLM to search for me, I'd rather just do the search myself. What if I want to search for something the LLM can't show me? Or something I want to watch or interact with that isn't an LLM?

I'm saying use LLMs as preprocessors to form predetermined rankings by URI which weigh into the search. Let the crawler pipe into an LLM.

Re: The most talented person in the world

#63
post #3

This kind of spam was already destroying the web before LLMs came along. Now it’s being accelerated by thousands of times. Mainstream web search is probably cooked. Kagi and other niche players might have a chance if the fact that they are not beholden to advertisers lets them introduce features to do things like downrank content with ads. Kagi has “small web” which I think includes this in its weighting. Open social…

> Even those are really having to fight bots though. We recently released a closed-system, iOS-only app, that has a fairly rudimentary, privacy-first system of user registration. It is currently restricted to the US and Canada. Each signup request is manually vetted. There is no automatic registration. The app is designed for a specific demographic, and we do our best to ensure that new accounts are real people, that…

What app and serving whom?

Re: The most talented person in the world

#64
post #35

Earlier quoted context omitted.

The hyper-enshittification stages look like: 1. People get on the web and make real content with care because they're just excited to share stuff with each other. 2. Advertisers talk them into putting some ads on their pages so they can get some compensation for their work. 3. Shitty people figure out you can just make content where the main incentive is to get people to go to the page and see the ads. 4. Those peopl…

IMHO a major part of the problem is that the Internet never had a mechanism for paying for good content. Everything is “free” therefore ads emerge as the only monetization strategy and you did a good job outlining the rest. I’ve started trying to pay for good journalism, especially good indie journalism. I also Patreon a bunch of podcasts, buy high quality software if the price is reasonable, buy albums of my favorit…

Who are some indie journalists you've found to be worth paying? I'd like to find some more work that's worth supporting.

Re: The most talented person in the world

#65
post #43

Earlier quoted context omitted.

I still would like to search and not get the dog crap that is Google's Internet, in addition to using LLMs myself.

I agree. My issue with LLMs is that it isn’t clear when it is hallucinating versus when it isn’t.

It’s always hallucinating… but sometimes the hallucinations are of things that actually happened.

Re: The most talented person in the world

#66
post #44
post #40

Earlier quoted context omitted.

> But, like, people aren't entirely stupid. Consumers generally won't keep repeatedly going back to the same business if the service is kinda sucky. And businesses generally figure out that reputation matters and the most economically viable long-term strategy is just to give people what they want. This isn't a law of nature. It's the result of particular conditions. Businesses in high-trust and low-trust cultures be…

High trust? The US sold literal "snake oil"

The Wild West times were low trust. The New Deal era was high-trust. We're swinging back to low trust.

Re: The most talented person in the world

#67
Sometimes I think about whether a nation-state may have an incentive to solve this problem. They could adopt a strict anti-SEO spam policy for their ccTLD and run a publicity campaign telling people about it, so they'd filter search results to that ccTLD, with the purpose of improving the country's reputation (by associating it with high-quality search results). That sounds kind of far-fetched, but it's hard to think of anything else. Maybe you could direct the blame at CAs too.

For now, at least we can still put "before:2020" in our search queries.

Re: The most talented person in the world

#68
post #31

Has anyone built a search engine that uses LLMs to pre-grade every page with metrics such as: - Commercial bias (content compared to the source, which it learns about) - Insincere motives - Bloat (how many words it takes to say how little to penalize SEO bloat) I would assume that using LLMs, we can get a pretty good idea of what is SEO bloat and who the bad actors are by this point, and just penalize those results.

We don't need to. We have LLMs now

I'm sorry but LLMs notoriously provide inaccurate and otherwise awful information.

Case in point, I asked an LLM what the last non cellular windows mobile classic PDA was. (I knew the answer) And it routinely got it wrong.

This is what LLMs should be useful for. If I cant audit the results or very how it came to the conclusion the answer is useless.

LLMs are toys at this juncture.

Re: The most talented person in the world

#70
post #31

Earlier quoted context omitted.

We don't need to. We have LLMs now

I'm sorry but LLMs notoriously provide inaccurate and otherwise awful information. Case in point, I asked an LLM what the last non cellular windows mobile classic PDA was. (I knew the answer) And it routinely got it wrong. This is what LLMs should be useful for. If I cant audit the results or very how it came to the conclusion the answer is useless. LLMs are toys at this juncture.

That's a great example of the kind of prompt that I intuitively know wouldn't return a useful result... but I can't explain WHY I intuitively know that. Which is deeply frustrating.
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