Earlier quoted context omitted.
glad someone sane is in charge in cupertino
Apple Intelligence.
Apple's On-Device and Server Foundation Models
191–200 of 562 posts
Re: Apple's On-Device and Server Foundation Models
#192Re: Apple's On-Device and Server Foundation Models
#193For people interested in AI research, there's nothing new here. IMO they should do a better job of referencing existing papers and techniques. The way they wrote about "adaptors" can make it seem like it's something novel, but it's actually just re-iterating vanilla LoRA. It was enough to convince one of the top-voted HackerNews comments that this was a "huge development". Benchmarks are nice though.
Re: Apple's On-Device and Server Foundation Models
#194For people interested in AI research, there's nothing new here. IMO they should do a better job of referencing existing papers and techniques. The way they wrote about "adaptors" can make it seem like it's something novel, but it's actually just re-iterating vanilla LoRA. It was enough to convince one of the top-voted HackerNews comments that this was a "huge development". Benchmarks are nice though.
It's a huge development in terms of it being a consumer-ready, on-device LLM. And if Karpathy thinks so then I assume it's good enough for HN: https://x.com/karpathy/status/1800242310116262150
Re: Apple's On-Device and Server Foundation Models
#195Earlier quoted context omitted.
It's a huge development in terms of it being a consumer-ready, on-device LLM. And if Karpathy thinks so then I assume it's good enough for HN: https://x.com/karpathy/status/1800242310116262150
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b) Apple only provides information to ChatGPT when the user consents to doing so and the information is only for that request i.e. it is not logged for future training.
Re: Apple's On-Device and Server Foundation Models
#196Earlier quoted context omitted.
Was there anything about searching through our own photos using prompts? I thought this could be pretty amazing and still a natural way to find very specific photos in one’s own photo gallery.
Which is in turn just multimodal embedding Besides I could do "named person on a beach in August" and get the correct thing in photos on Android photos, so I don't get it. It's amazing for apple users if they didn't have it before. But from a tech stand point people could have had it for a while.
Re: Apple's On-Device and Server Foundation Models
#197Is it me or Apple is really moving fast? I don't think it is easy for a company of this size to concisely put a vision of AI in these short and crazy AI times. BTW, not an Apple fan but an Apple user.
Google had similar AI functionality on Pixels last year and Microsoft had like six AI CoPilot products before that. So I would not say Apple is moving fast. Most people expected this update 6 months ago.
Re: Apple's On-Device and Server Foundation Models
#198Re: Apple's On-Device and Server Foundation Models
#199Is it me or Apple is really moving fast? I don't think it is easy for a company of this size to concisely put a vision of AI in these short and crazy AI times. BTW, not an Apple fan but an Apple user.
Google had similar AI functionality on Pixels last year and Microsoft had like six AI CoPilot products before that. So I would not say Apple is moving fast. Most people expected this update 6 months ago.
Re: Apple's On-Device and Server Foundation Models
#200For people interested in AI research, there's nothing new here. IMO they should do a better job of referencing existing papers and techniques. The way they wrote about "adaptors" can make it seem like it's something novel, but it's actually just re-iterating vanilla LoRA. It was enough to convince one of the top-voted HackerNews comments that this was a "huge development". Benchmarks are nice though.
> For people interested in AI research, there's nothing new here. Was anyone expecting anything new? Apple has never been big on living at the cutting edge of technology exploring spaces that no one has explored before—from laptops to the iPhone to iPads to watches, every success they've had has come from taking tech that was already prototyped by many other companies and smoothing out the usability kinks to get it r…