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šŸ  The Meta And Apple AI Edition

Big moves from big companies

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šŸ  AI

OPT Or Llama?

Meta has been able to carve out a distinct niche for itself in the AI race as the open-source king.

Their models Llama and Llama 2 arenā€™t just widely praised, but they are in many cases as good or even better than the closed-source alternatives from OpenAI, Google, and Anthropic. So good that it is even used to build other open-source models, like Code Llama and Vicuna.

However, building it didnā€™t come without consequences for Meta.

Two Teams, Limited Resources

Metaā€™s AI efforts centered on two different teams building two different models: the Llama team and the OPT team.

As we all know, building AI models requires a hell of a lot of computing power. And both sides want as much of it as possible.

But, unfortunately, Meta doesnā€™t have an unlimited amount of computing power. They had to divvy it up, which led to friction between the two teams, especially among the Llama team which typically received the short end of the computing power stick.

By the time the OPT model was abandoned and Llama was released in February, Meta had lost roughly half of OPTā€™s original 19 researchers and more than half of Llamaā€™s original 14.

A New Rivalry

Even with the victory by Llama, the drama isnā€™t over at Meta.

The newest battle for computing power comes from Metaā€™s commercial product-oriented team and Metaā€™s research team.

And, judging by the laying off of the team behind its revolutionary protein folding model, it looks like the commercial product team is winning.

The previous Meta internal battle led to a huge talent exodus, which resulted in the birth of startups like Mistral AI.

Itā€™ll be interesting to see if this battle does the same.

The Big Picture: It gets easier and easier to see why AI chipmaker Nvidia is now a trillion-dollar company.

šŸ  AI

Apple Boosts Its AI Spending

One of the biggest surprises of the current AI moment is how little Apple has been involved.

Typically on the cutting edge, Apple hasnā€™t released a single new consumer-facing AI product. No chatbots. No text-to-image generators. Nothing.

But that might be changing soon.

According to The Information, Apple is pumping millions of dollars a day into developing its conversational AI capabilities.

Some of the products being built include:

  • The ability for people to tell Siri to accomplish tasks that include multiple steps, such as creating a GIF using their last five photos and texting it to a friend.

  • An Apple Chatbot that could interact with customers who use AppleCare.

  • Ajax GPT, itā€™s counter to OpenAIā€™s GPT model.

  • A software that generates ā€œimages, videos, or 3D scenesā€.

  • Multimodal AI, which is AI that can recognize and produce images, videos, and text.

Millions of dollars a day sounds like a lot, and it is a lot, but with Appleā€™s virtually unlimited resources and top-notch team, we couldnā€™t be more excited to see what they can cook up.

The Big Picture: AI is going to get a whole lot more interesting once Apple fully gets in the game.

šŸƒā€ā™€ļø QUICKIES

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