221–230 of 343 posts
This is one of those things that seems like a good idea but is really an existential threat to OpenAI. Having a single extremely large customer gives that customer a disproportionate amount of power over your business. Apple can decide one day to simply stop paying you because, hey, they can afford the years of litigation to resolve it. Can you weather than storm? Famously, Benjamin Moore (the paint company) maintain…
> Apple can decide one day to simply stop paying you because, hey, they can afford the years of litigation to resolve it.
OpenAI and Microsoft also can do the same. Microsoft would be ecstatic to hurt Apple in any way. Also Apple has also no history of doing this with any of the providers they use.
> Benjamin Moore (the paint company) maintains its own stores. They have not (and probably will not) sell their products through Home Depot or Lowe's. Why?
Because Home Depot has their own brand, Behr. Each Behr color explicitly says what Benjamin Moore color it's copying, and they take 100% of the revenue as a direct alternative. Do you have any sources on this being a Benjamin Moore decision?
> It's why Apple ditched Google Maps for the (still inferior) Apple Maps.
How do you define "still inferior"? How many times a day do you use Apple Maps? Do you have any benchmarks that compare the two?
> Privacy protections are built in when accessing ChatGPT within Siri and Writing Tools—requests are not stored by OpenAI, and users’ IP addresses are obscured. Users can also choose to connect their ChatGPT account, which means their data preferences will apply under ChatGPT’s policies. So does this mean that by default, a random Apple user won't have their ChatGPT requests used for OpenAI training, but a paying Cha…
You can permanently disable OpenAI from training with your chat data for your account: “To disable model training, navigate to your profile icon on the bottom-left of the page and select Settings > Data Controls, and disable “Improve the model for everyone." While this is disabled, new conversations won’t be used to train our models”
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Big Tech is the only reason OpenAI can run. Microsoft is propping them up with billions of dollars worth of compute and infrastructure
And the foundational tech (Transformers) came from Big Tech, aka Google
Google had technical founders, now it’s run by MBAs and they are having a Kodak Moment.
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You can permanently disable OpenAI from training with your chat data for your account: “To disable model training, navigate to your profile icon on the bottom-left of the page and select Settings > Data Controls, and disable “Improve the model for everyone." While this is disabled, new conversations won’t be used to train our models”
and if you believe that you'll believe anything
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There’s a lot I don’t like about Sam Altman. There’s a lot I don’t like about OpenAI. But goddamn they absolutely leapfrogged Google and Apple and it’s completely amazing to see these trillion dollar companies play catch-up with a start-up. I want to see more of this. Big Tech has been holding back innovation for too long.
They "leapfrogged" Google on providing a natural language interface to the world knowledge we'd gotten used to retrieving throug web search. But Apple's never done more than toyed in that space. Apple's focus has long been on a lifestyle product experience across their portfolio of hardware, and Apple Intelligence appears to be focused exactly on that in a way that has little overlap with OpenAI's offerings. The part…
Call it whatever you want.
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How do you define a percent error margin on the typical output of something like ChatGPT? IIRC the image generation folks have started using metrics like subjective users ratings because this stuff is really difficult to quantify objectively.
IMHO the terribly overlooked issue with generative AI is that the end users' views of the response generated by the LLM often differs greatly from the opinion of the person actually interacting with the model this is particularly evident with image generation, but I think it's true across the board. for example, you may think something I created on midjourney "looks amazing", whereas I may dislike it because it's so…
One can find anything YOU produce to have different qualities from you.
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This partnership is structured so that no data is logged or sent to OpenAI.
Some people here somehow thinking they will simultaneously outsmart: * The CEO of a three trillion dollar company that employs 100,000+ of the best talent you could find around the world, with the best lawyers in the world one phone call away. Also, one of the best performing CEOs in modern times. AND * The CEO of the AI company (ok ... non-profit) that pretty much brought up the current wave of AI to existence and w…
Honestly I was surprised at how limited the ChatGPT integration seems to be. It felt like they 80/20'd AI with the onboard models + semantic index, but also wanted to cover that last 20% with some kind of SOTA cloud model. But they didn't necessarily NEED to.
They need to in order to not look second-class in terms of chat capabilities. On the other hand, they want to make it clear when you are using ChatGPT, probably not just for privacy reasons, but also so that people blame ChatGPT and not Apple when it gets things wrong.
IMO this really feels like the Facebook / Twitter integration from early iOS. That only lasted a few years. Apple clearly thinks it needs a dedicated LLM service atm. But still thinks it is only supplemental as they handle a bunch of the core stuff without it. And require explicit user consent to use OpenAI. And Apple clearly views it as a partial commodity since they even said they plan to add others. Tough to bet a…
Actually, just in three to five years, lots of "AI boxes" and those magical sparkling icons next to input fields summoning AI would be silently removed. LLMs are not accurate, they aren't subject matter experts that'll be maybe within 5% error margin. People will gradually learn and discover anf the cost of keeping a model updated and running won't drastically reduce so we'll most likely see dust settling down.
The Gell Mann amnesia effect suggests people will have a very hard time noticing the difference. Even if the models never improve, they're more accurate than a lot of newspaper reporting.
> People will gradually learn and discover anf the cost of keeping a model updated and running won't drastically reduce so we'll most likely see dust settling down.
So, you're betting on no significant cost reduction of compute hardware? Seems implausible to me.