Ethan B. Holland

Over 54,400 manually organized AI links and counting

Meta AI News: Week Ending 04/12/2024

April 12, 2024

“JUST IN: Meta confirmed its GPT-4 competitor, Llama 3, is coming within the month. Plus, more developments from Intel, Google Gemini 1.5, OpenAI, Microsoft, Cohere, eBay, and Archetype AI. Here’s everything going on in AI right now:” / X – https://twitter.com/rowancheung/status/1777880434409423319

Meta confirms that its Llama 3 open source LLM is coming in the next month | TechCrunch – https://techcrunch.com/2024/04/09/meta-confirms-that-its-llama-3-open-source-llm-is-coming-in-the-next-month/

“At an event in London, Meta confirmed that it plans an initial release of Llama 3, its GPT-4 competitor, within the next month. The company did not disclose the size of the parameters used in Llama 3, but it’s expected to have about 140 billion parameters. https://twitter.com/rowancheung/status/1777880497533727177

“Introducing the next generation of the Meta Training and Inference Accelerator (MTIA), the next in our family of custom-made silicon, designed for Meta’s AI workloads. Full details ➡️ https://twitter.com/AIatMeta/status/1778083237480321502

“This new MTIA chip can deliver 3.5x the dense compute performance & 7x the sparse compute performance of MTIA v1. Its architecture is fundamentally focused on providing the right balance of compute, memory bandwidth & memory capacity for serving ranking & recommendation models. https://twitter.com/AIatMeta/status/1778083239845904809

Meta will label AI content to help prevent deepfakes on Facebook and Instagram – https://www.axios.com/2024/04/05/meta-broader-ai-labeling

“Meta announces MA-LMM Memory-Augmented Large Multimodal Model for Long-Term Video Understanding With the success of large language models (LLMs), integrating the vision model into LLMs to build vision-language foundation models has gained much more interest recently. https://twitter.com/_akhaliq/status/1777539936364662817

“@steph_palazzolo @erinkwoo @AndrewYNg @herbertong Meta published OpenEQA, the Open-Vocabulary Embodied Question Answering Benchmark. The new benchmark measures the vision language model’s understanding of physical environments by asking it questions. https://twitter.com/rowancheung/status/1778602232256040996

“Today we’re releasing OpenEQA — the Open-Vocabulary Embodied Question Answering Benchmark. It measures an AI agent’s understanding of physical environments by probing it with open vocabulary questions like “Where did I leave my badge?” More details ➡️ https://twitter.com/AIatMeta/status/1778425321118732578

OpenEQA: From word models to world models – https://ai.meta.com/blog/openeqa-embodied-question-answering-robotics-ar-glasses/
Our next generation Meta Training and Inference Accelerator – https://ai.meta.com/blog/next-generation-meta-training-inference-accelerator-AI-MTIA/

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AI News #28: Week Ending 04/12/2024 with Executive Summary and Top 48 Links

The post you just read is an deep dive extension of my weekly newsletter, This Week In AI, an executive summary of the top things to know in AI. Each week, I create an accessible overview for laypeople to feel confident they are conversant with the week’s AI developments. I include a curated list of must-click links of the week, to offer everyone a hands-on opportunity to explore the most intriguing updates in artificial intelligence across various categories, including robotics, imagery, video, AR/VR, science, ethics, and more. Beyond the overview, I post these topic-based deeper dives (below). If you haven’t read this week’s overview, I recommend starting there.

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Most of these weekly links come from just a few prolific oversharing sources. Please follow them, as they work hard to find the news each week and they make it a lot easier for me to compile.