“AI at Meta announced an agreement with Amazon Web Services to integrate tens of millions of AWS Graviton cores into its compute portfolio.”

#3 𝕏 AI at Meta announced an agreement with Amazon Web Services to integrate tens of millions of AWS Graviton cores into its compute portfolio. This expands its diversified AI infrastructure to scale Meta AI and agentic experiences for billions of users.

“#8 ▶️ Why half of product managers are in trouble | Nikhyl Singhal (Meta, Google) Lennys Podcast Product managers are shifting from information-moving roles to AI-powered builder positions that emphasize rapid testing and judgment, using tools like Claude and CodeX to automate routine tasks.”

#8 ▶️ Why half of product managers are in trouble | Nikhyl Singhal (Meta, Google) Lennys Podcast Product managers are shifting from information-moving roles to AI-powered builder positions that emphasize rapid testing and judgment, using tools like Claude and CodeX to automate routine tasks. A 2024 job market report shows global open product manager roles at their highest level in over three years, last seen during the zero-interest "ZIRP" COVID era.

“#10 𝕏 Alexandr Wang announced Meta AI has climbed to #2 in the App Store, making it the top-ranked AI app.”

#10 𝕏 Alexandr Wang announced Meta AI has climbed to #2 in the App Store, making it the top-ranked AI app.

“AI at Meta announces the upcoming Muse Spark API, fueling developer excitement to experiment with Muse Spark inside their agentic harnesses.”

#20 𝕏 AI at Meta announces the upcoming Muse Spark API, fueling developer excitement to experiment with Muse Spark inside their agentic harnesses.

“Meta launched TRIBE v2, a foundation model trained on 1,000+ hours of fMRI data from 720 people that predicts which brain regions light up, how strongly, and in what order from video, audio, or text—outperforming real scans.”

#7 𝕏 Rowan Cheung : Meta launched TRIBE v2, a foundation model trained on 1,000+ hours of fMRI data from 720 people that predicts which brain regions light up, how strongly, and in what order from video, audio, or text—outperforming real scans.

“Meta launched TRIBE v2, a foundation model trained on 1,000+ hours of fMRI data from 720 people that predicts which brain regions light up, how strongly, and in what order from video, audio, or text—outperforming real scans.”

#7 𝕏 Rowan Cheung : Meta launched TRIBE v2, a foundation model trained on 1,000+ hours of fMRI data from 720 people that predicts which brain regions light up, how strongly, and in what order from video, audio, or text—outperforming real scans.

“Rowan Cheung : Meta launched TRIBE v2, a foundation model trained on 1,000+ hours of fMRI data from 720 people that predicts which brain regions light up, how strongly, and in what order from video, audio, or text—outperforming real scans.”

Rowan Cheung : Meta launched TRIBE v2, a foundation model trained on 1,000+ hours of fMRI data from 720 people that predicts which brain regions light up, how strongly, and in what order from video, audio, or text—outperforming real scans. #8 in Dharmesh Shah launched jsondata.com, a free AI-powered online tool for viewing, filtering, compressing, and manipulating JSON data in a nested interface.

“Jeff Dean shared benchmark results for multiple in-house models and compared their performance head-to-head with Meta’s Gemma 3.”

#23 𝕏 Jeff Dean shared benchmark results for multiple in-house models and compared their performance head-to-head with Meta’s Gemma 3. #24 𝕏 Qwen launched its flagship Qwen3.6-Plus model on Fireworks AI, delivering industry-leading inference speed, cost efficiency, and fine-tuning support on their high-performance serving stack.

“Meta Releases SAM 3.1 with Object Multiplexing #1 𝕏 AI at Meta released SAM 3.1, a drop-in upgrade to SAM 3 that adds object multiplexing for much more efficient, high-accuracy video processing on smaller hardware—model checkpoint and codebase now available.”

#1 𝕏 AI at Meta released SAM 3.1, a drop-in upgrade to SAM 3 that adds object multiplexing for much more efficient, high-accuracy video processing on smaller hardware—model checkpoint and codebase now available. #16 𝕏 AI at Meta launched SAM 3.1 with object multiplexing, enabling the model to track up to 16 objects in one forward pass and doubling video throughput from 16 to 32 FPS on a single H100 GPU by cutting redundant computation.

“AI at Meta launched TRIBE v2, a model that predicts unseen individuals’ brain responses to movies and audiobooks with a 2–3× accuracy boost over prior methods without any retraining.”

#3 𝕏 AI at Meta launched TRIBE v2, a model that predicts unseen individuals’ brain responses to movies and audiobooks with a 2–3× accuracy boost over prior methods without any retraining.