Apple just released a weirdly interesting coding language model
51–60 of 73 posts
Re: Apple just released a weirdly interesting coding language model
#52Earlier quoted context omitted.
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.
There aren’t that many people that are willing to own a device from a company but not trusting that company with their data
Re: Apple just released a weirdly interesting coding language model
#53Short 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…
When we look at the small models suitable for running locally, by far the best programming model is DeepSeek-R1-0528-Qwen3-8B. It is quite comparable in real world usage even to much bigger models.
Re: Apple just released a weirdly interesting coding language model
#54Earlier quoted context omitted.
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
#55Earlier quoted context omitted.
> to my mind the architecture is a better fit for coding We have to see if it produces better results. Humans have a planning phase, followed be a part-by-part implementation phase. This is reasonably well emulated by plan/architect + codegen tools.
It's delusional to think that most software projects can be planned in advance beyond "there will be a beginning, a middle, and an end". People do it, but their efforts are in my experience generally ignored once implementation get underway.
Re: Apple just released a weirdly interesting coding language model
#56Earlier quoted context omitted.
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
#57Earlier quoted context omitted.
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?
Re: Apple just released a weirdly interesting coding language model
#58Short 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…
When we look at the small models suitable for running locally, by far the best programming model is DeepSeek-R1-0528-Qwen3-8B. It is quite comparable in real world usage even to much bigger models.
Re: Apple just released a weirdly interesting coding language model
#59Short 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 had a similar notion and am excited to see this research being done. My experience of writing code is that the structure of the whole system influences each individual part, which has always felt like a better match for a diffusion type model.
I’m suspecting this is a 7B model because it’s an experiment, but I do like seeing Apple playing with smaller models - I think Google’s “no moat” memo is still fundamentally correct, either via better architectures or Moore’s law, and it seems like Apple thinks the same.
Re: Apple just released a weirdly interesting coding language model
#60Earlier quoted context omitted.
> to my mind the architecture is a better fit for coding We have to see if it produces better results. Humans have a planning phase, followed be a part-by-part implementation phase. This is reasonably well emulated by plan/architect + codegen tools.
It's delusional to think that most software projects can be planned in advance beyond "there will be a beginning, a middle, and an end". People do it, but their efforts are in my experience generally ignored once implementation get underway.