“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.

“#6 𝕏 Peter Yang breaks down how a Meta VP created the /exec-review AI skill—using a 6-step leader profiling method to review docs in his own voice—and shares the full skill files so you can set it up today and stop wasting time guessing exec preferences.”

#6 𝕏 Peter Yang breaks down how a Meta VP created the /exec-review AI skill—using a 6-step leader profiling method to review docs in his own voice—and shares the full skill files so you can set it up today and stop wasting time guessing exec preferences. #7 𝕏 claire vo 🖤 shows how Stripe’s “Minions” use a simple Slack emoji plus custom DevX tooling to spin up isolated AI agent environments that run dozens of parallel tasks.

“in Dharmesh Shah reports that Meta has quietly acqui-hired the Dreamer team—including co-founder Hugo Barra and ex-Stripe CTO David Singleton—to focus on building autonomous agents rather than acquiring Dreamer’s product.”

#4 in Dharmesh Shah reports that Meta has quietly acqui-hired the Dreamer team—including co-founder Hugo Barra and ex-Stripe CTO David Singleton—to focus on building autonomous agents rather than acquiring Dreamer’s product.

“DeepLearning.AI reports Meta, OpenAI and others are building on-site gas-powered plants to directly fuel AI data centers, bypassing grid delays but risking higher costs and greenhouse gas emissions.”

#12 𝕏 DeepLearning.AI reports Meta, OpenAI and others are building on-site gas-powered plants to directly fuel AI data centers, bypassing grid delays but risking higher costs and greenhouse gas emissions.