Short Boy Anjeev

Today we're releasing a new state-of-the-art AI large language model called LLaMA designed to help researchers advance their work. LLMs have shown a lot of promise in generating text, having conversations, summarizing written material, and more complicated tasks like solving math theorems or predicting protein structures. Meta is committed to this open model of research and we'll make our new model available to the AI research community.

Mark Zuckerberg

Our community keeps growing and engagement is strong across Facebook, Instagram, WhatsApp, and Messenger. Facebook just reached the milestone of 2 billion daily actives. The progress we're making on our AI discovery engine and Reels are major drivers of this. Beyond this, our management theme for 2023 is the "Year of Efficiency" and we're focused on becoming a stronger and more nimble organization.

More details on the state of our business from today's earnings call:

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2022 was a challenging year, but I think we ended it having made good progress on our main priorities and setting ourselves up to deliver better results this year as long as we keep pushing on efficiency. I said last quarter that I thought our product trends look better than most of the commentary out there suggests. That's even more the case now. We reach more than 3.7 billion people monthly across our family of apps. On Facebook, we now reach 2 billion daily actives and almost 3 billion monthly. The number of people daily using Facebook, Instagram and WhatsApp is the highest it's ever been.

Before getting into our product priorities, I want to discuss my management theme for 2023, which is the "year of efficiency". We closed last year with some difficult layoffs and restructuring some teams. When we did this, I said clearly that this was the beginning of our focus on efficiency and not the end. Since then, we've taken some additional steps like working with our infrastructure team on how to deliver our roadmap while spending less on capex. Next, we're working on flattening our org structure and removing some layers of middle management to make decisions faster, as well as deploying AI tools to help our engineers be more productive. As part of this, we're going to be more proactive about cutting projects that aren't performing or may no longer be as crucial, but my main focus is on increasing the efficiency of how we execute our top priorities.

I think there's more we can do to improve our