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Today we're introducing TRIBE v2 (Trimodal Brain Encoder), a foundation model trained to predict how the human brain responds to almost any sight or sound. Building on our Algonauts 2025 award-winning architecture, TRIBE v2 draws on 500+ hours of fMRI recordings from 700+ people to create a digital twin... show more

AI at Meta

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6,982,740 Aufrufe • vor 7 Monaten •via X (Twitter)

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Profilbild von Dhiran

Dhiranvor 7 Monaten

500 hrs of brain scans to predict what makes us click... zuck's building the ultimate engagement algo from inside our heads. wild times

Profilbild von AI at Meta

AI at Metavor 7 Monaten

Without any retraining, TRIBE v2 can reliably predict the brain responses of individuals it has never seen before, achieving a nearly 2-3x improvement over previous methods for both movies and audiobooks We’re releasing the model, codebase, paper, and demo to help researchers advance neuroscience, apply brain insights to build better AI, and use computational simulation to speed up breakthroughs in neurological disease diagnosis and treatment. 🔗 Paper: 🔗 Model: 🔗 Code:

Profilbild von Raúl R Romero

Raúl R Romerovor 7 Monaten

Normally such technology would excite me, but Meta just lost a court case where they DELIBERATELY addicted children and ruined their mental health for profit.

Profilbild von shaun

shaunvor 7 Monaten

we can sell up to 80% of a user's visual field without inducing seizures

Profilbild von Brooklyn

Brooklynvor 7 Monaten

Claude: upload my brain to Facebook. Make no mistakes.

Profilbild von ✮ Hood Satoshi

✮ Hood Satoshivor 7 Monaten

Meta just dropped a model that predicts how your BRAIN reacts to video content. So I built an app with it. Paste any YouTube, TikTok, or IG link and get: → Predicted attention curves over your entire video → Emotional intensity mapping → Cognitive load analysis → A live brain visualization that lights up as your video plays → Exact timestamps where viewers lose focus It's basically VidIQ on steroids — except instead of optimizing for the algorithm, you're optimizing for the human brain. Built in a few hours using TRIBE v2. This tech is insane.

Profilbild von Kraken

Krakenvor 7 Monaten

Can we use it to simulate the feeling of 10x-ing our bags?

Profilbild von Connor Burke

Connor Burkevor 7 Monaten

So this means ad agencies and brands (Coca-Cola, Nike, etc.) can test hundreds of ad versions or product trailers in minutes without focus groups. They see which ones trigger the strongest brain responses for attention, emotion, or "want-to-buy" feelings saving that focus group cost. Algorithms now can be trained to get the user scrolling more for additional ads as well if Facebook can see how our brain reacts to a post… Interesting development!

Profilbild von Aman

Amanvor 7 Monaten

Impressive. I can think of a dozen different ways to use this right now, like training a social media algorithm to maximize neural activity in the ventral striatum keeping users scrolling reels for hours. Please never do this😭

Profilbild von Flipcoder 🚀

Flipcoder 🚀vor 7 Monaten

Someone at meta right now

Profilbild von Sigmaking6969

Sigmaking6969vor 7 Monaten

How the FUCK is this not a crime yet? Meta pays “internet safety advocacy groups” 2 BILLION dollars to get age verification to collect even MORE data about us then they announce THIS?! WHAT THE FUCK.

Profilbild von M R X

M R Xvor 7 Monaten

advertisers will license this within two years. a model that predicts what makes your brain react to sight and sound. Meta built the perfect tool for the wrong hands.

Profilbild von Mike

Mikevor 7 Monaten

So we’re at the “analyze your brain for ads” stage now

Profilbild von Devin

Devinvor 7 Monaten

Literally can’t keep up

Profilbild von igmut

igmutvor 7 Monaten

specifically because it's coming from meta: creepy af

Profilbild von aryan 🧠⚡️

aryan 🧠⚡️vor 7 Monaten

Congratulations to all the incredible scientists at Reality Labs, spending their time optimizing Reels engagement…

Profilbild von Linus ✦ Ekenstam

Linus ✦ Ekenstamvor 7 Monaten

Sick. is this powering the wrist band?

Profilbild von MacroDog

MacroDogvor 7 Monaten

You clowns will realize no one wants this and the market will punish your stock until you cut the shit.

Profilbild von Trader Insights Media

Trader Insights Mediavor 7 Monaten

Meta just announced TRIBE v2, an AI that can predict exactly how YOUR brain responds to anything you see or hear. TRIBE v2: trained on 500+ hours of brain scans from 700+ people. It predicts neural activity across 1,000 brain regions in real-time. Why this is massive for $META as an investment: ✔️Facebook/Instagram/Reels → content optimized for neural engagement, not just clicks ✔️Ray-Ban Meta glasses → biometric + brain-response data at scale ✔️AI assistants → trained to respond how your brain actually prefers ✔️Healthcare play → brain twins for neurology, mental health diagnosis ✔️BCI future → foundation model for brain-computer interfaces Elon has Neuralink. Apple has neural interface patents. Meta has TRIBE v2. @grok connect the dots for investors. Meta has TRIBE v2 (neural prediction), Ray-Ban glasses (real-world data), Llama (language AI), V-JEPA 2 (video AI), and 3.2 billion daily active users generating behavioral data. Is Meta building a closed-loop system for mapping, predicting, and influencing human cognition at scale? #Meta #TRIBEv2 #Neural #AI #BrainActivity #BREAKING #TechNews

Profilbild von paul

paulvor 7 Monaten

These amazing technological advancements are underscored by the fact that they will almost certainly just be used to show us more ads

Profilbild von Nabeal Khan

Nabeal Khanvor 7 Monaten

“yeah bro i choose my own ad budgets because i’m smarter than meta”

Profilbild von RegenFlow AI

RegenFlow AIvor 7 Monaten

Meta really said “let’s build an AI that knows exactly how your brain’s gonna light up to any pic or sound” and then casually dropped that it was trained on 700 real human brains for 500+ hours 😭 Bro went full sci-fi villain just so Reels can hijack your dopamine harder than ever.

Profilbild von Aaryan Kakad

Aaryan Kakadvor 7 Monaten

i went through the code, paper and their demo properly. dropped a complete overview of TRIBE v2 in very simple words. check it out here:

Profilbild von Kristen Ruby

Kristen Rubyvor 7 Monaten

I know of only one person who wanted to do this exact exercise. His name was J E.

Profilbild von SMA 🏴‍☠️

SMA 🏴‍☠️vor 7 Monaten

kinda scary

Profilbild von Daniel

Danielvor 7 Monaten

Folks, never trust the Zucc - he's literally planning to monetize ur brain with 3D ads. Wtf

Profilbild von helix

helixvor 7 Monaten

This is how they will control us. If the brain can send a signal, it means they can send one back 🤷‍♂️

Profilbild von sdmat

sdmatvor 7 Monaten

Wait, you spent millions training a model that predicts generic fmri output? Why? Which use cases does this serve that the training data did not? It is pointless for medical application as the whole purpose there is to detect atypical behavior. What does this accomplish?

Profilbild von scoopy trooples

scoopy trooplesvor 7 Monaten

nope!

Profilbild von Ēṭēr̥ṇāl̥

Ēṭēr̥ṇāl̥vor 7 Monaten

This is cool on paper but kinda creepy in practice. Meta training on 700 brains to predict reactions sounds like the ultimate ad targeting upgrade, not pure science. We've seen how even basic eye tracking hooks attention for hours. Zero shot on new people? Wild. How long till this quietly shapes what content even gets shown to us?

Profilbild von 𝓓𝖗. 𝓥𝖔𝕏 𝓞𝖈𝖚𝖑𝖎 ᴹᴰ 👁️‍🗨️

𝓓𝖗. 𝓥𝖔𝕏 𝓞𝖈𝖚𝖑𝖎 ᴹᴰ 👁️‍🗨️vor 7 Monaten

Thought crime soon

Profilbild von B

Bvor 7 Monaten

This is prediction, not access. The model learns statistical mappings from stimuli → averaged brain responses (fMRI signals). That’s impressive, but it’s not “reading minds” or capturing individual thoughts. A few key constraints • fMRI is slow and coarse (seconds, millimeters) • you’re predicting group-level patterns, not unique internal states • “zero-shot” here means generalization within the same data structure not new physics So yeah, solid progress for neuroscience and modeling. But it’s still correlation + inference, not direct measurement of subjective experience. @grok

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