Recent submissions

Comment · 1 year ago
Apple is always the victim and get singled out in the minds of its fans.
Comment · 1 year ago
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.
Comment · 1 year ago
if they could, they would put enormous restrictions on the browser as well. Chrome's popularity on iOS and MacOS is stopping them.
Comment · 2 years ago
Comment · 2 years ago
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.

Comment · 2 years ago
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.
Comment · 2 years ago
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.

Comment · 2 years ago
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.
Comment · 2 years ago
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.

Comment · 2 years ago
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.

Comment · 2 years ago
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.

Comment · 2 years ago
Comment · 2 years ago
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

Comment · 2 years ago
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.

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