Image created with gemini-2.5-flash-image with claude-sonnet-4-5. Image prompt: Cinematic black and white photograph of a circular mirror suspended in cloudy sky, reflecting cloud formations back onto themselves in infinite recursion, bold sans-serif META title card in negative space, high contrast, film grain, contemplative composition with clouds observing clouds.
ElevenLabs is partnering with @Meta to power expressive, scalable audio across Instagram, Horizon, and more – bringing natural and diverse audio to billions of users. From dubbing Reels in local languages, to generating music and character voices in Horizon, ElevenLabs platform https://x.com/elevenlabsio/status/1999163506743038408?s=20
Meta presents OneStory Coherent Multi-Shot Video Generation with Adaptive Memory https://x.com/_akhaliq/status/1998760879261888814
Meta’s multibillion dollar AI strategy overhaul creates culture clash https://www.cnbc.com/2025/12/09/meta-avocado-ai-strategy-issues.html
Limitless https://www.limitless.ai/
Meta acquires AI device startup Limitless | TechCrunch https://techcrunch.com/2025/12/05/meta-acquires-ai-device-startup-limitless/
Bringing More Real-Time News and Content to Meta AI https://about.fb.com/news/2025/12/bringing-more-real-time-news-and-content-to-meta-ai/
For a long time, Yann LeCun and others believed in gradient-based planning, but it didn’t work very well … until now. Here’s how we did it using incredibly simple techniques. But first, an introduction to gradient-based planning: 🧵1/11 https://x.com/micahgoldblum/status/1999149319925227786
Multimodal fusion is key to building AI that truly understands the world. But it’s still hard to find the right way to do it, partly because diffusion is dynamic while text is static. @AIatMeta and @AI_KAUST proposed MoS – Mixture of States, which fixes this mismatch by routing https://x.com/TheTuringPost/status/1996585873652203808
Meta AI’s Saber redefines zero-shot reference-to-video generation It generates stunning, identity-preserving videos from text & images. No costly R2V datasets required, trained solely on video-text pairs. Achieves state-of-the-art with masked training. https://x.com/HuggingPapers/status/1998485543345131847
Leave a Reply