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Apple just released a weirdly interesting coding language model

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Re: Apple just released a weirdly interesting coding language model

#41
post #39
post #25

Earlier quoted context omitted.

Synology supports exactly that, and I'm sure they're not the only one.

Full iOS backups directly to local external storage, without another computer in the mix? I’d be very surprised if that were true.

Here's one example of a third party tool.

> Step-by-Step Guide: How to Backup iPhone to Synology NAS

https://www.ubackup.com/phone-backup/backup-iphone-to-synolo...

Re: Apple just released a weirdly interesting coding language model

#42
post #37

Earlier quoted context omitted.

> Why can’t I backup an iOS device to a local NAS in the way I can use Time Machine, for example? When I connect my iPhone to my iMac it does to a local backup to a file, which then gets backed up via Time Machine (and SuperDuper/CarbonCopyCloner). "How to back up your iPhone, iPad, and iPod touch with your Mac": * https://support.apple.com/en-ca/108796 There's also a checkbox for 'Wifi syncing' so a cable isn't nece…

That’s exactly my point: Why on Earth do I need a separate computer to mediate the backup? iOS natively supports SMB over any network connection including wired Ethernet, mounting encrypted APFS volumes on USB storage devices at 10 Gbps etc. It’s Apples explicit vision that an iPad Pro can replace a Mac even for some professional users. Why don’t these deserve local backups?

How many people own a NAS, but not a PC or Mac?

Apple already provides first party software to handle iDevice backups on Windows or Mac.

Backing up an Android device to a PC using adb is significantly more difficult, especially for the less technically minded.

Re: Apple just released a weirdly interesting coding language model

#43
post #4

Short version: A Qwen-2.5 7b model that has been turned into a diffusion model. A couple notable things: first is that you can do this at all, (left to right model -> out of order diffusion via finetuning) which is really interesting. Second, the final version beats original by a small margin on some benchmarks. Third is that it’s in the ballpark of Gemini diffusion, although not competitive — to be expected for any…

I think Apple will ultimately destroy the data center, I hope they succeed.

Not without fundamentally changing the way they think about computing and there seems to be zero willingness among their leadership to do that. In fact they seem to want to move things into the data center. That's why I'm shorting them.

Re: Apple just released a weirdly interesting coding language model

#44

Jetbrains has 100MB models of languages for their IDEs that can auto complete single lines. It's good but I think we can do better for local code auto complete. I hope Apple succeeds in their on device AI attempts.

You can run Qwen3 locally today if you want to. It can write whole files if you want (although not with <1 second latency like a sub 1GB model will which is what you want for interactive in-editor completions.)

Re: Apple just released a weirdly interesting coding language model

#45
post #39

Earlier quoted context omitted.

Full iOS backups directly to local external storage, without another computer in the mix? I’d be very surprised if that were true.

Here's one example of a third party tool. > Step-by-Step Guide: How to Backup iPhone to Synology NAS https://www.ubackup.com/phone-backup/backup-iphone-to-synolo...

Did you actually read what you linked, or did you just paste in a random link from a search engine?

There are two methods presented: one only backs up the camera roll; the other requires plugging into a computer and manually clicking around, at which point you might as well use the first party backup built into Finder (or iTunes on Windows? Is that still a thing?), no random third party application needed. I also highly doubt their “backup every single content” claim.

It’s also a sneaky marketing article for that third party application, following the common SEO practice of giving you a half-ass solution capturing a frequent search term (in this case, “backup iPhone to Synology”), then plug their own questionable thing as the better solution.

Re: Apple just released a weirdly interesting coding language model

#46
post #39

Earlier quoted context omitted.

Full iOS backups directly to local external storage, without another computer in the mix? I’d be very surprised if that were true.

Here's one example of a third party tool. > Step-by-Step Guide: How to Backup iPhone to Synology NAS https://www.ubackup.com/phone-backup/backup-iphone-to-synolo...

> Preparation. How to set up Synology NAS on PC

That’s a guide on how to backup an iPhone to a NAS using a computer.

Unsurprisingly, a reasonably capable general-purpose OS supports network file systems in a way transparent to applications, but that doesn’t help people using only an iOS device.

Re: Apple just released a weirdly interesting coding language model

#47
post #37

Earlier quoted context omitted.

That’s exactly my point: Why on Earth do I need a separate computer to mediate the backup? iOS natively supports SMB over any network connection including wired Ethernet, mounting encrypted APFS volumes on USB storage devices at 10 Gbps etc. It’s Apples explicit vision that an iPad Pro can replace a Mac even for some professional users. Why don’t these deserve local backups?

How many people own a NAS, but not a PC or Mac? Apple already provides first party software to handle iDevice backups on Windows or Mac. Backing up an Android device to a PC using adb is significantly more difficult, especially for the less technically minded.

> How many people own a NAS, but not a PC or Mac?

That’s arguably the wrong question: I bet a lot more would own one if they could easily backup their iOS devices to it.

Re: Apple just released a weirdly interesting coding language model

#48
Zed are doing out-of-order edits with their model, I'm not sure what is new here. I strongly suspect that theirs works directly with the CRDT that the editor uses, because it's able to continue similar deletes for the user (deletes would otherwise be invisible to most autocomplete models).

Apple's is open weights, so that's a big deal.

Re: Apple just released a weirdly interesting coding language model

#49
post #13

Does diffusion allow for 'size editing'? Unsure how to ask this, or if this (most likely) reveals a fundamental misunderstanding of my own, but: for an image, the size is set (say, 256x256.) For text, if each token were a pixel, it's very small. The article image showed text colour-coded by generation order. What if it would need to, say, insert another line for the rest of a comment sentence? How would it even know…

Yes, block diffusion for example generates fixed-size blocks of text, but can dynamically change the number of blocks. The Zed team recently posted a pretty good intro to diffusion models for text: https://www.youtube.com/watch?v=oot4O9wMohw

That was interesting, although it's unclear why there's only one other person in a Zoom. However, it turns out that I was glad to have someone there because they asked the question I had about the interaction between diffusion and prompting https://www.youtube.com/watch?v=oot4O9wMohw&t=977> which made it click why one would use this diffusion setup for code completion specifically. The "prompt" is the current state of the (file|line) and it then diffuses text into place

Re: Apple just released a weirdly interesting coding language model

#50
post #14
post #4

Short version: A Qwen-2.5 7b model that has been turned into a diffusion model. A couple notable things: first is that you can do this at all, (left to right model -> out of order diffusion via finetuning) which is really interesting. Second, the final version beats original by a small margin on some benchmarks. Third is that it’s in the ballpark of Gemini diffusion, although not competitive — to be expected for any…

Without having tried it, what I keep getting surprised with is how apparently widely different architectures (and in other cases training data) lead to very similar outcomes. I'd expect results to vary a lot more.

But if the limiting factor is the data on which the models are trained and not the actual “computation” than this would be exactly expected right?
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