Jack_Burton
@Jack_Burton@lemmy.world
- Comment on YSK: Condé Nast Parent Company is a Major Owner of Reddit, You Should Avoid their Publications (Wired, Ars Technica, GQ, The New Yorker, Vanity Fair, Vogue,...etc) as Much as Possible. 3 weeks ago:
Well they have become less satirical than reality so…now I don’t know what to do.
- Comment on Whatever happened to cheap eReaders? – Terence Eden’s Blog 3 weeks ago:
I’ve got a decade old Sony ereader that’s still good as new. Battery lasts a couple weeks too, I love it.
- Comment on Gemini will now automatically summarize your long emails unless you opt out 3 weeks ago:
Unfortunately not. That’s like saying “A burglar put a spycam in my house once. I simply said no and he removed it. So hopefully it stays that way”. It’s there, you just can’t see it now.
- Comment on Better music management 4 weeks ago:
First, I made ‘Album Artists’ my landing page. 'Artists" includes everyone tagged in the metadata, ‘Album Artists’ only contains the primary artists. For me, the difference is 350 album artists vs 1412 artists.
I run everything through Picard when I add something to the server. Sometimes I have to change the metadata (for example I hate having an entry for ‘&’ like Elton John & Hans Zimmer and I’ll change it so the album is included in both Elton John and Hans Zimmer but theres no entry for them together). But generally it’s pretty simple and smooth.
Looks like this: Image
- Comment on Stop Internet Searching and Start Asking on Fediverse? 1 month ago:
Kagi has a lens that only searches the Fediverse.
- Comment on Stop Internet Searching and Start Asking on Fediverse? 1 month ago:
Absolutely. I never imagined I’d pay for search but Kagi is leaps and bounds better than other search engines. I decided to pay when I realized how much I search every day after getting the free trial. Went through 100 searches in four days. If I search that much, paying for an engine that has no ads, uses useful lenses, and lets me block results from sites like Facebook was a no-brainer.
- Comment on Audible unveils plans to use AI voices to narrate audiobooks 1 month ago:
This is what I don’t get from a business standpoint. Why would anyone buy an AI read audiobook for $20 when they can get the exact same audio by buying the ebook for $0.99 and running it through AI?
- Comment on Cloudflare CEO warns AI and zero-click internet are killing the web's business model 1 month ago:
Of course they don’t click anything. Google search has just become a front-end for Gemini, the answer is “served” up right at the top and most people will just take that for Gospel.
- Comment on Duolingo will replace contract workers with AI | The Verge 1 month ago:
True enough. I suspect that “yet” will come pretty soon though. I’m hoping all of these ‘early AI adopter’ companies fuck themselves out of business. With the tech as it is, most companies pivoting their products to AI on the user-end are just introducing a middle man. Once people catch on to it and realize they can just cut out the middle man, they hopefully won’t last long.
- Comment on Duolingo will replace contract workers with AI | The Verge 1 month ago:
This kind of thing is what confuses me as a business model. Take audio books for example, Audible is pivoting to ai voices. Why would people spend $20 on an audio book with an ai voice when they can just spend $1.99 on the eBook and run it through an ai voice program themselves?
- Comment on [deleted] 1 month ago:
I too watched Death of a Unicorn
- Comment on Your Phone Isn’t Eavesdropping on You to Show You Ads (It’s Worse Than That) 1 month ago:
A while back on Reddit I saw a post asking about this stuff. Companies don’t need to “listen” anymore, they have much more sophisticated options now. This example will use 3 people: A (wife) B (husband) and C (wife’s old friend from school).
The question: A goes to the store without B, and runs into C, who proceeds to tell A about this cool gaming chair he just got. After the conversation, A puts the interaction aside and never mentions it to B. B later gets ads for the gaming chair. If B never had any interaction whatsoever about the chair, and A never even talked about it to B, how does B get the ads?
The answer: A goes to the store, and her phone knows this through location data. The algorithm knows A is at the store, and now picks up that C is also at the same store. The algo then finds a connection through social media that A and C know each other, and maybe even knows spending habits and sees A and C buy similar things. The odds are good that A and C will interact at the store.
C has been searching about this gaming chair for months, has just recently bought it, and talks about it constantly on socials. Odds are good that if A and C interact, C will talk about the chair.
A has no interest in gaming or tech, but B does. The algo knows A and B are married, and B would be interested in the chair C just bought. There is now a vector to send ads from the interaction of A and C directly to B, even though A never mentioned anything about the chair to B, and B has never even met C.