This time I conversed entirely with Gemini, sending pictures of the cables and of the components and the motherboard.
I'll not soon forget when I plugged in a cable incorrectly and sent an image of that cable to Gemini.
Gemini said "It is very important that you stop and unplug that cable immediately... Hopefully the power supply's safety precautions kicked in before any permanent damage occurred."
I know that Gemini was conversing with me using plagiarized information from all those sites. But, it was so much better to do this than to try to synthesize that in my brain by reading a bunch of articles.
I don't see a future for tech content because Gemini isn't paying the authors and they don't give me an option to direct payments to them either.
In that situation, they give the (wrong) answer that sounds the most plausible.
As soon as I tried to make a todomvc it started working great but I wonder how much value that really brings to the table.
It's great for me though. I can finally make a todomvc tailored to my specific needs.
On the other hand, they've also surfaced information (later independently confirmed by myself) that I had not been able to find for years. I don't know what to make of it.
Edit: A question from AI/LLM ignorance- Can the source database for an LLM be one-way, in that it does not contain output from itself, or other LLMs? I can imagine a quarantined database used for specific applications that remains curated, but this seems impossible on the open internet.
I think, for public internet data, we can only be reasonably confident for information before the big release of ChatGPT.
Results vary of course. I have some very wonderful synthesizer manuals.
This creates financial incentives to pay companies running the new version of search. Your thinking of this as a problem for these companies, when in reality it is a financial incentive.
Thats not to say AI is bad. It’s great in many cases. More that I’m worried about what happens when the repositories of new knowledge get hollowed out.
Also my favorite response was this gem from Sonnet:
> TL;DR: Move your monitor cable from the motherboard to the graphics card.
For 99.99999% of people out there, LLMs are the new search. You can gnash teeth and yell and sob, but it is how things are.
For some definitions of "better", that is. :(
The first set of steps didn't work, so we iteratively sent pictures of the screen until the steps eventually did work and the issue was fixed.
This saved us from having to call Apple support.
If you wanted to use an LLM to identify it, sure, you can validate that, and then find the manufacturer instructions and use those. Just following what it says about the cables without any validation it's correct is just wild to me. These are products with instruction manuals made for them specifically designed for this.
Their entire business model was to funnel traffic to websites with their ads.
What is their income source now that they've all but stopped doing that?
Google participates in AI bubble. When it pops, they will aggressively seek monetization. Be ready to see chatbot output to be populated with popups, video ads, popups, and stuff.
This doesn't change, they will still show ads somewhere around AI overview. As part of it if it is both technically feasible and legal.
The part of equation that is gone, is how organic traffic got to sites that published quality content. Now they might as well shutdown or switch to hard paywall. Both won't affect Google for few year, until websites (other than shops) are dead, knowledge stored in LLMs gets outdated and search engines have tiny index, that is a shadow of past size.
The first shoe dropped when news websites realized they weren't generating content fast enough. Hard, in depth journalism takes time, but when people want to know something that happened _today_, they don't want to wait a week for all the facts to come out, and so the major websites started losing traffic to websites that churned out articles fast.
The additional benefit of churning out articles was that you could match against more and more long tail keywords, which lead to more traffic and more ability to sell ads. To keep up, many websites dropped quality for speed, and consumers noticed.
The second shoe then to drop was with affiliate marketing -- articles on CNET / Wirecutter etc were already ranking and rating products, so they figured "[...] why shouldn't we get a cut if someone ends up buying a product we recommend"? The challenge then became that consumers couldn't tell the difference between a product that was recommended because it was good, or because the product gave the biggest "kickback" to the website for using the affiliate link. Thus, people that gave "honest" opinions on products (e.g. people asking on Reddit, at least for a while, as the article suggests) became the new source of truth.
The result of this means that these days, if you read a lot of articles on the major tech websites, they feel more like they've been optimized for speed (e.g. churning out an article fast), SEO, and not much else. Many people have talked about how recipie websites are now short story generators more than food instructions, but it's been common for a while where I go to a tech website to read about something I specifically Googled, only for it to feel more like it was written _specifically_ to capture traffic for a keyword, rather than actually solve the issue or question I came into the website with.
The cherry on top is that AI has none of these problems (so far) -- yes, there's some movement on trying to do SEO for AI, and of course ads will eventually come to AI like it has everything else, but currently, you can get the answers you want, described to you exactly how you'd like to hear it -- who wouldn't want that?
I thought we wanted the truth.
cut the cookies and tracking, so you don't have to have a ridiculous compliance banner. cut the paywall that tells me what you had to say wasn't important enough for public consumption. cut the full screen ad breaks and page takeover nonsense.
these outlets have had years (decades?) to figure out how to monetize content that didn't drive users away. they have failed over and over and over again, so why should I care that they are failing now? if it wasn't AI, it would be something else that came for them. if you rely on the captiveness of your audience, rather than the quality of your product, I'm always happy to see you destroyed. whatever comes next will be different, at the very least. and I'm an optimist - I'll always hope that it's a better way. if it's not, let that shit die, too.
regardless, I have every faith that the good will that buoyed these sites in their respective heydays will continue on to provide some other resources for the same kind of media.
This is hard for me, an "information wants to be free" kinda guy, to espouse. But there are softer ways to do it, such as how The Guardian does it, or how public media does it.
If I go to your website where you purport to cover the news of the tech industry, it is always in your best interest to actually give me that news. I'd prefer it if they gave a dry, sometimes even bullet-pointed list of bare news facts. What they know, how they know it, and the basic ways it affects the site's topic/hobby, as soon as they possibly know it. From there, link to your subscription content that goes into detail about the news and provides attractive insight or framing or whatever, along with reasoned updates when the news stops breaking and we have some better or more reliable information. People who just want the news can hit the site, light up the in-page and side gutter banner ads, and then bounce. People curious for more or appreciative of the talent can subscribe and get more, and more informed, detail.
Basically, just the same old suggestions for any enterprise: figure out what people, right now, today, want; stop relying on what worked in the past or what is most convenient for your team. Break it down in to how people actually function, and then place monetization where you would purchase, for a price that you would purchase for. I'll always be able to find the news without you, so you don't have any leverage to hold it hostage. Use it as a lead for your content, which can be the kind of reporting (different than news in subtle but meaningful ways) that people will be happy to pay for.
the rest are ad scams
Unrelated, but I wouldn't expect this take on HN where I assumed everyone knew what an ad-blocker was.
https://aftermath.site/gameshub-clickout-media-seo-gambling-...
That being said, I am morbidly curious about traffic from RSS subscribers: has that gone up, gone down, or remained roughly the same in the same time period?
StLCylone•2h ago
spudlyo•2h ago
There were large categories of information had become extremely difficult to search for thanks to SEO optimized content farms like these. People switching to Reddit for discovery because of this search index pollution was a direct response to this. To me, LLMs feel like a return to the golden age of AltaVista and Google, where the Internet was a place you could reliably find the information you were looking for.
m4tthumphrey•2h ago
ssl-3•12m ago
But we aren't there quite yet; that's tomorrow's problem. And I still have things that I need to do today.
SketchySeaBeast•1h ago
https://www.bbc.com/future/article/20260218-i-hacked-chatgpt...
marginalia_nu•24m ago
Noticed the other day it now heavily cites and sources my one of my blog post to support the claim that yes, AI makes you boring if you google "Does AI make you boring?"
If you search "Does AI make you interesting?", it drums up other sources to support that contradictory claim as well.
paulnpace•1h ago
And now we can enjoy Marxist advertising ("posts") within our discussions on how to replace a TPMS sensor.
esseph•17m ago
Reddit is Marxist? Hilarious.
I can't believe real people believe shit like this. Truly, the state of education is dire.
Marx and Engles must be rolling in their graves as a beacon of capitalistic tech is called "Marixst". What a silly world we live in.
seydor•38m ago
hackeraccount•24m ago