noiseinvacuum

Apple is always the victim and get singled out in the minds of its fans.

They are scared that Meta and other popular apps might just abandon the AppStore altogether or offer significant advantage for side loaders. This is the problem with having too tight of a control, Apple is always living in fear of losing control.

if they could, they would put enormous restrictions on the browser as well. Chrome's popularity on iOS and MacOS is stopping them.

Apple delayed their effort 'indefinitely' to work on cheaper Vision Pro. They are at least 3-5 years behind Meta at this point. And if past is any sign of the future, Zuck is not slowing down this effort anytime soon for Apple to catch up.

This is going to be a very interesting platform battle to watch.

https://www.tomsguide.com/news/apple-glasses-reportedly-dela...

All correct, Meta does obviously benefit.

It's helpful to also look at what do the developers and companies (everyone outside of top 5/10 big tech companies) get out of this. They get open access to weights of SOTA LLM models that take billions of dollars to train and 10s of billions a year to run the AI labs that make these. They get the freedom to fine tune them, to distill them, and to host them on their own hardware in whatever way works best for their products and services.

If by "everyone else" here you mean 3 or 4 large players trying to create a regulatory moat around themselves then I am fine with them getting locked out and not being able to create a moat for next 3 decades.

Creating content with AI will surely be helpful for social media to some extent but I think it's not that important in larger scheme of things, there's already a vast sea of content being created by humans and differentiation is already in recommending the right content to right people at right time.

More important is the products that Meta will be able to make if the industry standardizes on Llama. They would have the front seat in not just with access the latest unreleased models but also settings the direction of progress and next gen LLM optimizes for. If you're Twitter or Snap or TikTok or compete with Meta on the product then good luck in trying to keep up.

And lets not forget the hills. Driving in SF is no joke. In my 20+ rides with Waymo, it feels that it drives more confidently than most Uber drivers I've had experience with.

Protections under GDPR apply to both local storage and cloud storage.

In this case both local storage and cloud storage are provided by same company so that distinction doesn’t matter but this storage location agnostic coverage of GDPR comes in handy on Android.

This is a clear violation of GDPR. The GDPR emphasizes the right to erasure (Article 17) and data minimization (Article 5). These principles require that personal data be:

* Kept for no longer than necessary * Deleted upon request or when no longer needed

Both of these conditions are met when someone "deletes" a picture from their device.

This bug basically proved that Apple is non compliant with this and there's no way that EU is going to ignore this big of a violation. If found guilty then they can fine Apple 20 million euros or 4% of global turnover(revenue) which is > $4 billion.

Agreed, this is a major breach of trust if iCloud backup is not honoring my delete actions.

I am sure this is also a GDPR violation and EU is probably already looking into it.

They have updated the name now.

https://huggingface.co/nvidia/Llama3-ChatQA-1.5-70B

Looks quite a solid fine tune from benchmark results. I iwsh they had added benchmark comparison to GPT 4 Turbo as well.

From the huggingface page:

Model Details

We introduce Llama3-ChatQA-1.5, which excels at conversational question answering (QA) and retrieval-augumented generation (RAG). Llama3-ChatQA-1.5 is built using the training recipe from ChatQA (1.0), and it is built on top of Llama-3 base model. Additionally, we incorporate more conversational QA data to enhance its tabular and arithmatic calculation capability. Llama3-ChatQA-1.5 has two variants: Llama3-ChatQA-1.5-8B and Llama3-ChatQA-1.5-70B. Both models were originally trained using Megatron-LM, we converted the checkpoints to Hugging Face format. Other Resources

He went into the details of how he thinks about open sourcing weights for Llama responding to a question from an analyst in one of the earnings call last year after Llama release. I had made a post on Reddit with some details.

https://www.reddit.com/r/MachineLearning/s/GK57eB2qiz

Some noteworthy quotes that signal the thought process at Meta FAIR and more broadly

* We’re just playing a different game on the infrastructure than companies like Google or Microsoft or Amazon

* We would aspire to and hope to make even more open than that. So, we’ll need to figure out a way to do that.

* ...lead us to do more work in terms of open sourcing, some of the lower level models and tools

* Open sourcing low level tools make the way we run all this infrastructure more efficient over time.

* On PyTorch: It’s generally been very valuable for us to provide that because now all of the best developers across the industry are using tools that we’re also using internally.

* I would expect us to be pushing and helping to build out an open ecosystem.

Good thing that he's only 39 years old and seems more energetic than ever to run his company. Having a passionate founder is, imo, a big advantage for Meta compared to other big tech companies.

Detecting a fake profile is a very hard problem and in a very different domain than LLMs. What makes it so difficult is goal to minimize false positives, ideally you do not want to delete profiles of genuine users.

Meta has said in the past that their ML models observe how users use their platform like FB to detect is they are bots. Another challenge is that most spammers that slip through these AI systems are not always automated bots like you see on Twitter, there are sometimes paid humans behind these accounts.

The sheer scale of this problem is astounding, this stat is from 2019 (https://phys.org/news/2019-05-fake-facebook-accounts-never-e...). Even if 0.01% of these slip through then it becomes very visible.

> Facebook said this week it "disabled" 1.2 billion fake accounts in the last three months of 2018 and 2.19 billion in the first quarter of 2019.

What does not get a lot of attention is the work they have done with OCP (Open Compute: https://www.ocp.org/en-us) to first launch it in 2012 and then nurture and grow it since then.

One project I am really excited to see grow is Overture Maps(https://overturemaps.org/), I think it'll have an impact, from end user perspective, far larger than perhaps all other projects.

Plus these tools get better faster when more people use them. It's a win-win.

Genuinely curious, are there any examples of successful products build by ex-Apple Design team members?

This is specifically designed for inference for recommendations models. It’s not for LLM training or inference.

Right and they have a LOT of GPUs from Nvidia for handle the unknown. Custom silicon for custom workloads seems like a good strategy specially considering the capabilities that the team will develop along the way.

It’s intentional. Replace EU with Apple and law with AppStore rules and you’ll see the parallels.

> I'm saying the EU did not write them as strongly as the other versions, making them harder to understand and potentially steering the law in a different direction.

It’s per install including updates. All apps from Meta and Google update almost weekly. That’s 100s of millions of dollars a year in CTF that they won’t have to pay if they stay in the store.

It’s funny how Apple fans here, and on other forums, dislike the seemingly arbitrary heavy handed gate keeping on Apple by the EU when in fact Apple engages in far extreme level of arbitrary gate keeping and this is somehow loved by the same people.

Malicious compliance attempt number 2 from Apple. This is clearly not complaint with DMA and there's no way that Apple doesn't know that.

The core issue is that Apple doesn't want to give away the absolute god-like control over how apps are distributed on iPhone and they can't be compliant until they let go. I am guessing this is going to get dragged on with 3rd version of Apple policies coming out soon after they get sent back to drawing board by EU.

I think that is why payment processing fees and platform fees need to be separated out.

Exactly. This is the most problematic anti-competitive behavior and it's easily addressable by existing antitrust laws.

The fact that none of the Apple apps have privacy labels for users to see if extremely annoying.

I can go to AppStore and see what data each app uses or read user reviews but there's no way to do that for any Apple apps for some reason.

In this case, the simple solution is for Apple is to have an Android app. Which, as per the email revealed in court cases, they have had and haven't launched since 2013.