Good morning, { AI enthusiasts }. AI corporations keep attempting to construct systems that think like a brain. Meta went the opposite direction… Constructing one which reads them.
TRIBE v2 can predict how your neurons fire in response to anything you watch, hear, or read — a breakthrough for researchers studying the brain, and a reasonably significant data point for the world’s largest social media and promoting company.
In today’s AI rundown:
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Meta’s brain model beats real fMRI scans
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Apple to unlock Siri for rival AI assistants
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Use Perplexity Computer as a private shopper
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Wikipedia bans AI from writing its articles
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4 latest AI tools, community workflows, and more
LATEST DEVELOPMENTS
META
Image source: Meta
The Rundown: Meta just open-sourced TRIBE v2, an AI model trained on brain scans from 700+ those that simulates neural activity across vision, hearing, and language — with its synthetic predictions actually outperforming real fMRI recordings.
The small print:
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Trained on 1,000+ hours of brain data, v2 leaps from 1,000 brain regions to 70,000, with 700+ subjects up from just 4 volunteers in the unique.
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TRIBE v2’s predictions matched population-level brain activity higher than most real scans, which regularly get clouded by heartbeats, movement, and noise.
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The team replicated a long time of neuroscience findings in software, accurately pinpointing brain regions for faces, speech, and text with zero scans.
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Meta open-sourced the code, weights, and a live demo, letting any researcher start running virtual brain experiments without constructing from scratch.
Why it matters: Neuroscience has long required putting people inside expensive scanners for each latest experiment, a bottleneck that is kept entire fields moving one study at a time. TRIBE v2 could do for brain research what AlphaFold did for protein structure: compress months of scanning into seconds of compute.
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APPLE
Image source: Apple
The Rundown: Apple plans to open up the upcoming Siri revamp for other models starting with iOS 27, in response to Bloomberg — ending ChatGPT’s exclusive integration and letting users select which AI handles their queries directly from the assistant.
The small print:
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Users will have the option to choose their preferred AI in ‘extensions’ settings and route inquiries to models of their selection via Siri with the incoming iOS 27.
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ChatGPT is currently the one model compatible with Siri commands via its 2024 deal, but use of that integration has reportedly been ‘minimal’.
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Bloomberg said chatbots within the App Store is also a revenue stream, with Apple taking a cut of AI subscriptions purchased across its devices.
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Apple is anticipated to introduce the brand new Siri AI overhaul powered by Gemini at its WWDC developer event in early June.
Why it matters: Google is already rebuilding Siri’s underlying tech with Gemini, and ChatGPT has had a spot since 2024. Now, Apple is letting the remaining of the sector in to supply more user selection. It’s a sensible move — skip the model war entirely, layer one of the best AI on top of a billion iPhones, and let its hardware moat do the remaining.
AI TRAINING
The Rundown: On this guide, you’ll learn the best way to use Perplexity’s Computer agent search feature (for Max subscribers or Pro users with credits) to buy you, find items in stock in your size, and save a ton of time.
Step-by-step:
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Go to Perplexity’s website or app (latest version), and search for the Perplexity Computer toggle
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Prompt: “Find me deal on [item]. I prefer brands like [brands]. Start with the item type, then add brand preferences, cosmetic style, and sizing”
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Computer will delegate sub-agents to browse product listings and compile a report for you. It is basically good at formatting the report without you telling it to
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If you desire to watch prices or do day by day market research, you possibly can prompt: “Turn this right into a day by day/weekly automation,” and Perplexity will schedule it for you
Pro tip: To avoid wasting a bit bit on tokens, you possibly can switch the orchestrator model to Claude Sonnet.
PRESENTED BY INNOVATING WITH AI
The Rundown: Dan had no tech background and no business experience — only a love for AI and a hunch it could turn out to be something more. Through The AI Consultancy Project, he landed his first clients, found a distinct segment, and built a six-figure consultancy that permit him quit his 9-to-5 in under a yr.
Dan’s case study breaks down:
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How he went from zero clients to a six-figure AI consultancy in 12 months
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The early stumbles and the system that finally worked
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The precise area of interest and mindset shift that unlocked all the things
WIKIPEDIA
Image source: Wikipedia
The Rundown: Wikipedia’s volunteer editors banned using AI to write down articles on the inspiration’s English-language site, a move the policy’s writer called a “pushback against enshittification and forceful push of AI by so many corporations”.
The small print:
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Prior attempts at broad AI rules failed to succeed in consensus, but mounting AI-generated errors pushed editors to a near-unanimous 40-2 vote.
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The ban covers writing or rewriting articles with LLMs, with editors still allowed to make use of AI for grammar fixes and translations with human review.
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The policy’s writer said the change could “spark a broader change” and “empower communities on other platforms” to set AI rules on their very own terms.
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StackOverflow and German Wikipedia have enacted similar bans, with Spanish Wikipedia going further to completely ban using AI, even for editing purposes.
Why it matters: AI text reportedly surpassed human output for the primary time in 2025, and Wikipedia is attempting to hold the human line, all while Elon pushes Grokipedia (an AI-created version of Wikipedia) in the precise other way. The web’s most-used knowledge base bet against the present, but how long that holds is anyone’s guess.
QUICK HITS
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🤖 Scrunch – See how AI interprets your site, run a free audit, and unlock the brand new approach to reach customers*
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🎶 Suno – Recent v.5.5 AI music generation model with upgraded personalization
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🗣️ Gemini 3.1 Flash Live – Google’s low-latency voice AI for real-time agents
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💬 Voxtral TTS – Mistral’s voice cloning AI for multilingual speech agents
Google rolled out Gemini 3.1 Flash Live, a brand new voice AI with upgrades in speed, task completion, and realism, to power convos across Search, Gemini Live, and its API.
Mistral released Voxtral TTS, a light-weight voice AI that clones any speaker from a 3-second clip and generates natural-sounding speech across 9 languages.
OpenAI has reportedly shelved its planned erotic chatbot mode indefinitely after pushback from staff and investors.
Novo Nordisk is deploying AI agents across clinical trial ops, with the pharma giant saying the tech is trimming approval timelines and reducing the necessity for contractors.
Suno launched v5.5 of its AI music generator, adding voice cloning, custom model tuning, and personalized style learning for Pro subscribers.
Cohere released Transcribe, a free open-source speech recognition model that tops HuggingFace’s accuracy leaderboard across 14 languages — taking the No. 1 spot.
COMMUNITY
Every newsletter, we showcase how a reader is using AI to work smarter, save time, or make life easier.
Today’s workflow comes from reader Hugh F. in Sandwich, MA:
“I play keyboard in an open mic group, but have to simplify song piano scores to 2 pages to avoid having to show pages mid-song, and likewise to make the piece suitable for an accompaniment.
Feeding a PDF version of a full rating to Claude and requesting such a simplification has resulted in quite acceptable pieces. So, less time adapting piano scores, which has resulted in additional time practicing, which has itself resulted in additional applause. Thanks, Claude!”
How do you utilize AI? Tell us here.
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Read our last AI newsletter: ARC-AGI-3 resets frontier AI scoreboard
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Read our last Robotics newsletter: Amazon now has a kid-sized humanoid
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Today’s AI tool guide: Use Perplexity Computer as a private shopper
That is it for today!
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