PERSONAL SUPERINTELLIGENCE / RESEARCH
META · PERSONAL SUPERINTELLIGENCE · 2025 → 2026

Superintelligence,
for everyone?

Meta puts "personal" before superintelligence: instead of centrally automating all valuable work, it distributes intelligence that understands goals and acts continuously into everyone's hands.

The real strategic bet is not just a stronger model, but binding AI, glasses, social graphs, payments, and personal context into one long-lived agent system.

3.6BDaily-active distribution network
$130–145B2026 CapEx guidance
5GWHyperion full-build scale
2026.09Muse personal agent launch
V1.0Updated: 2026-10-05 Official / Authoritative media / Single-source tiersContent faithfully from the original research report
01 / ORGANIZATION

MSL

Meta Superintelligence Labs unifies fundamental research, product, and next-generation models, with Alexandr Wang as Chief AI Officer.

02 / COMPUTE

GW-scale compute

Prometheus, Hyperion, and El Paso form hyperscale infrastructure; capital expenditure becomes the second strategic pillar.

03 / PRODUCT

Muse + Wearables

The personal agent, AI glasses, private cloud PCs, payments, and the social ecosystem together form the product vehicle of "Personal Superintelligence."

04 / DISTRIBUTION

Distribute, don't centralize

Meta's distinctive proposition treats distribution breadth itself as part of safety and value, rather than keeping superintelligence in the hands of a few institutions.

CENTRALIZED AGI

Superintelligence as institutional capability

Centralized R&D, deployed outward via APIs, enterprise software, robots, or scientific tools. The core question: who owns the strongest models and controls the infrastructure.

META'S BET

Superintelligence as personal capability

Continuously understanding your goals, environment, relationships, and preferences, acting for you in the real world. The core question becomes: who owns the entry point, context, and distribution closest to the individual.

Research date: 2026-10-05 (UTC) Terminology: in this report, "Muse" refers to the personal AI agent product and model family Meta released in September 2026 (Muse Spark), unrelated to Anthropic's Claude. Confidence labels: [Officially confirmed] = published via Meta's official channels or by Zuckerberg himself, or verified live in-browser; [Authoritative media] = reported by Reuters/WSJ/FT/Bloomberg/TechCrunch/Fast Company with multi-source cross-verification; [Single-source] = single or weak source only, not cross-verified.

Executive Summary

Meta's "Personal Superintelligence" is the company-level AI vision Zuckerberg established in July 2025: unlike the industry path of using superintelligence to "centrally automate all valuable work," Meta advocates distributing superintelligence into everyone's hands, as personal agents that understand individual goals and handle to-dos 24/7[Officially confirmed]. Its strategic pillars are: ① Meta Superintelligence Labs (MSL, founded 2025-06-30, Alexandr Wang as Chief AI Officer)[Officially confirmed]; ② hundreds-of-billions-scale compute investment (2026 capex guidance $130–145B; GW-scale clusters like Prometheus/Hyperion) [Officially confirmed + authoritative media]; ③ product vehicles: the Muse personal agent (launched 2026-09-08) + AI glasses/wearables + the WhatsApp/Instagram/Facebook ecosystem[Authoritative media]; ④ open-source strategy shifting to a "hybrid" model: largest models closed, some models open-weight [Authoritative media / single-source].

Its distinctiveness lies in "decentralized personal empowerment vs. centralized AGI": OpenAI (Gentle Singularity), Anthropic (powerful AI + strong safety-ism), Google DeepMind (AGI for science), and xAI (maximum truth-seeking) all lean toward centralized R&D and institutional deployment, while Meta bets on putting AI into the pockets and onto the faces of 3.6 billion users [Analysis, multi-source basis].

The three biggest controversies: ① the inherent conflict between the advertising business model and "AI doing errands for users, bypassing ads"[Opinion]; ② a privacy trust deficit (Muse demands deep permissions; Reuters exposed the "human concierge" manual-call incident, later rolled back)[Authoritative media]; ③ the forced unwinding by China's NDRC of the $2B Manus acquisition — the first revoked closed cross-border AI deal[Authoritative media].

For users in China: Muse launched US-only and Meta services are unavailable in mainland China — out of reach for now; alternatives include the independent Manus, domestic in-ecosystem API routes (Qwen) and system-level GUI routes (Doubao), plus self-hosting Chinese and foreign open models [Officially confirmed + authoritative media].


1. Origins and Official Statements

1.1 Three Core Primary Texts

Date Form Key points
2025-06-30 Internal memo (full text obtained by Fortune/Bloomberg/CNBC)[Officially confirmed] Announced the formation of Meta Superintelligence Labs (MSL), integrating all fundamental research, product, and FAIR teams plus a new next-generation model lab; Alexandr Wang became Chief AI Officer leading MSL, with Nat Friedman partnering on AI product and applied research; vision stated as "personal superintelligence for everyone"; committed to continuing Llama 4.1/4.2
2025-07-30 Open letter, published at meta.com/superintelligence, signed "- Mark" [Officially confirmed, read in full] See "core arguments" below
2026-08-10 Long-form manifesto "The Future is for Everyone" (subtitle: The Path to a Positive AI Future), ~6,500 words, published on the Meta newsroom and Zuckerberg's personal accounts; WSJ ran a version two weeks earlier [Officially confirmed via TechCrunch] See "evolution" below

1.2 Core Arguments of the 2025-07-30 Open Letter (Key Points)

  1. Timing: "Developing superintelligence is now in sight" — signs of AI systems self-improving have appeared in recent months; "The rest of this decade seems likely to be the decisive period"[Officially confirmed].
  2. Core definition: everyone owns a personal superintelligence that "helps you achieve your goals, create what you want to see in the world, experience any adventure, be a better friend to those you care about, and grow to become the person you aspire to be"; "Meta's vision is to bring personal superintelligence to everyone"[Officially confirmed].
  3. Demarcation from the industry: explicitly distinguished from "others in the industry who believe superintelligence should be directed centrally towards automating all valuable work, and then humanity will live on a dole of its output"[Officially confirmed].
  4. Product form preview: "Personal devices like glasses that understand our context because they can see what we see, hear what we hear, and interact with us throughout the day will become our primary computing devices"[Officially confirmed].
  5. Openness and safety: will strictly manage risk — "careful about what we choose to open source" — while advocating benefits be shared as widely as possible[Officially confirmed].

1.3 Evolution of Official Statements (2025→2026)


2. Strategic Substance

2.1 Technology Path

Model trajectory: Llama 2/3 (open weights, 2023–2024, developer goodwill) → Llama 4 (2025-04, poor market reception; Yann LeCun admitted to the FT that benchmark scores were "fudged a little bit," and Meta promoted scores from an unreleased version) → the rumored "Behemoth" flagship delayed (WSJ reporting; Meta spokesperson dismissed it as "speculation and hearsay") → next generation codenamed "Avocado" → Muse Spark (released 2026-04-08, MSL's first product, first fully closed proprietary model; Wang said "rebuilt our AI stack from scratch"); three versions iterated within 4 months of launch (Muse Spark series, Fast Company 2026-09)[Authoritative media]. Benchmark scores (Artificial Analysis 52 points, GPQA Diamond 89.5%, etc.) appear only in weak sources[Single-source].

Open-source strategy shifts to "hybrid": the largest, strongest models stay proprietary, served via cloud APIs; some future versions are planned to be open-sourced (Wang's words: "plans to open-source future versions"; a Gartner analyst called this a "major shift"). Background: DeepSeek built a competitive Chinese model on the Llama architecture, causing internal displeasure; Llama 4's reputation slid; training costs climbed [Authoritative media / multi-source]. Meanwhile Chinese open models (GLM-5, Qwen 3.5, DeepSeek V3.2) have surpassed Llama 4 on benchmarks[Single-source].

Compute investment (the strategy's second pillar):

Organization and talent (MSL):

2.2 Product Vehicles

  1. The Muse personal agent (the core productization of the vision): launched 2026-09-08, which Meta called "the world's first personal AI agent built for everyone"; standalone iOS/Android apps, the muse.ai website, available inside WhatsApp, with a Mac client added 09-17 [Authoritative media / multi-source]. Each user gets a private cloud PC — Secure VM (tasks keep running in the cloud after the app closes) — plus the Sentinel network-control layer; it can send emails, book travel, fill forms, shop, make phone calls (calling launched 09-16), and operate browsers; sensitive actions require user confirmation; Stripe Link / Shopify Shop Pay / PayPal × Mastercard Agent Pay form the payments loop [Multi-source cross-check]. Pricing: free tier (Zuckerberg says 100M tokens per week) + Power $20/month + Maximum $100/month[Single-source]. Launched US-only, 18+, with a linked payment card required[Multi-source]; Sensor Tower data claims 2.5M+ US downloads in two weeks, topping the US App Store [Single-source chain, questionable].
  2. AI glasses / wearables (Zuckerberg-defined "primary computing device"): Connect 2026 (09-23/24) launched Ray-Ban Meta Gen 3 ($449), Ray-Ban Meta Audio ($349, first camera-free audio-only), Meta Adventurer ($249), Ray-Ban Meta Display ($799, with display), Muse Charm (keychain AI companion), Meta VR Glasses ($1,299.99, spring 2027); Muse officially entered glasses (voice-dispatching schedule tasks); FDA-certified hearing enhancement ($149.99); 100+ combinations across three brands by year-end [Multiple secondary media cross-checks; meta.com navigation already shows Meta VR Glasses / Muse Charm entries — verified live in-browser]. Market: IDC figures put Meta-family smart glasses at ~76% of shipments (2025) / 69% combined with EssilorLuxottica (Fast Company citing IDC); Ray-Ban Display sold only ~15,000 units in its first quarter (IDC via Reuters) [Weak source chain, questionable].
  3. Social ecosystem: Meta AI is built into Facebook/Instagram/WhatsApp/Messenger; Muse can take over Instagram/Facebook merchant tools (including ad buying); 3.6 billion daily-active users form the distribution moat[Authoritative media].

2.3 Timeline and Milestones (see "Timeline" at the end)

Key milestones: 2025-06-30 MSL founded → 2025-07-30 open letter → 2026-04-08 Muse Spark (closed-source turn) → 2026-08-10 manifesto → 2026-09-08 Muse launch → 2026-09-23 Connect 2026 (glasses + Muse convergence). Prometheus online 2026, Hyperion at 1.5GW in 2027, El Paso online 2028 form the compute timeline [Officially confirmed + authoritative media].


3. Comparison with Competitors' AGI/Superintelligence Visions

Meta: Personal Superintelligence OpenAI: Gentle Singularity Anthropic: Powerful AI Google DeepMind: AGI xAI: Digital Superintelligence
Core text Zuckerberg's open letter (2025-07), "The Future is for Everyone" (2026-08)[Officially confirmed] Altman's "The Gentle Singularity" (2025-06); said "entered the singularity" in 2026-07[Multi-source] Amodei's "Machines of Loving Grace" (2024-10)[Multi-source] Hassabis's I/O 2026, India AI Summit 2026 series of talks[Multi-source] Musk's "maximum truth-seeking AI" (2023–); YC 2025 talk[Multi-source]
Distribution philosophy Decentralized: distributed into everyone's hands, individuals direct it Centralized R&D, broad deployment (API/ChatGPT/robots) Cautious scaling; democratic-bloc leadership (entente strategy) Science for the common good, benefiting the world Truth-seeking; cosmic / multi-planetary scale
Attitude toward automation Criticizes the "central automation + universal dividend" model; "invention, not automation" Embraces agents doing real cognitive work; robots enter the physical world in 2027 Acknowledges employment impact, reframes "meaning" Emphasizes productivity and research acceleration Extremely optimistic: thousand-fold economic expansion
Time judgment "The rest of this decade is the decisive period" 2026 systems produce novel insights; AGI around 2035 ("thousands of days away") powerful AI arriving 2026–2027 AGI 2029–2031 ("foothills of the singularity") Beyond any individual by end-2026 (Musk Davos 2026, single-source)
Vehicles Glasses/wearables + social ecosystem + personal agents ChatGPT/API/robots Claude/enterprise market Gemini/Android/science tools Grok/X/Tesla/Starship
Business model Advertising (98% of revenue in Q2 2026) + freemium Subscriptions + enterprise APIs Enterprise subscriptions Advertising + cloud Subscriptions / across the Musk ecosystem
Safety view Broad distribution is safety; "careful choices" on open-sourcing Internal alignment + iterative deployment Most stringent: Responsible Scaling Policy, ASL tiers Responsible development, "Day After AGI" Curiosity is safety; open-sourcing ~9 months after release

Meta's distinctiveness (analysis): Meta is the only one of the five to make "personal" the qualifier of its vision, and to argue that distribution breadth itself is a safety strategy ("centralization is the risk"), directly countering the centralized, cautious path of OpenAI/Anthropic — TechCrunch readers called its manifesto "anti-Dario." Its confidence comes from a 3.6-billion-DAU distribution network and advertising cash flow; its weakness is that model capability is still seen as lagging (SemiAnalysis in 2026-07 saw Meta as having the best chance to catch OpenAI/Anthropic, but Fast Company noted it trails by years in code and cloud services) [Analysis, based on authoritative media].


4. Execution Checklist (as of 2026-10-05)


5. Controversies and Doubts

Factual

  1. Manus acquisition forcibly unwound: Meta announced the ~$2B acquisition on 2025-12-29; in 2026-04 the NDRC's foreign-investment security review ruled to block it and demand unwinding (a completed deal unwound — a first); in 03 two co-founders were barred from leaving the country; on 06-12 Bloomberg obtained an internal memo showing Meta cutting Manus's system access and "sunsetting"; in 08–11 Manus announced restored independence, with user data deleted after 12-29; Caixin reported Tencent/ZhenFund/HSG bought it back for $2B (unconfirmed by either side) [Authoritative media; buyback figure single-source, questionable].
  2. Llama 4 benchmark controversy: LeCun admitted to the FT that scores were "fudged a little bit"; "Behemoth" delayed (WSJ), Meta dismissed it as hearsay[Authoritative media].
  3. Muse "human concierge" incident: Reuters exclusive on 2026-09-22 — Meta had human contractors make some of Muse's phone calls; employees protested the privacy risk, one saying a contractor made racist remarks on a call; an MSL VP admitted inadequate disclosure was a mistake and rolled it back[Authoritative media].
  4. Financial structure: Q2 2026 advertising was 98% of revenue, net profit $15.8B; Reality Labs lost $84B cumulatively 2020–2025; eMarketer expects Meta to surpass Google as the world's largest digital advertiser by end-2026 [Authoritative media via Fast Company].
  5. Polling: Bentley-Gallup 2026-07: Americans who think AI does more harm than good rose from 31% to 39% within a year; only 9% think benefits outweigh harms [Fact — poll].

Opinion (criticism)

  1. Inherent conflict of the ad model: if Muse does errands for users and bypasses recommendations and ads, Meta loses traffic entry points and ad reach — "whether an app hungry for personal data will eventually backfire on Meta" (Bernstein analyst); Chinese observers call it "a fight over the toll booth charging for customers' attention"[Opinion].
  2. Privacy trust deficit: Muse demands deep permissions (email/payments/location), while Meta has the Cambridge Analytica record; whether the technical promises of Secure VM/Confidential VM can offset distrust is the biggest challenge (livemint, NPR, TechCrunch)[Opinion].
  3. Hollow vision: a Fast Company long read says Zuckerberg is vague on "what to do once you have a transformative model"; Mollick says Meta "fell out of the race"; TechCrunch criticizes the manifesto for dodging risk and calls "dynamic auction" compute pricing detached from user experience[Opinion].
  4. Compute monopoly and environment: hundreds of billions in compute, the water/power and community impact of GW-scale clusters; the Wyoming data-center wastewater incident [Single-source]; supporters cite Entergy's projection of $2B in residential electricity savings over 20 years (projection) [Mostly opinion].
  5. The manifesto's political intent: read as a lobbying document — arguing "Meta should be allowed to build data centers anywhere," with the checkpoint-sharing proposal seen as regulatory arbitrage[Opinion].
  6. Organizational turmoil: LeCun's departure, FAIR's marginalization, the cultural shock of high-salary poaching[Opinion].

6. Implications for Users in China

  1. Current availability [Officially confirmed + fact]: Muse launched US-only (18+), requiring US IP and payment-card verification; Meta's official help center (zh-cn, verified live in-browser) states "the Muse app and website are not yet available in all regions"; Facebook/Instagram/WhatsApp were never available in mainland China; Ray-Ban Meta glasses launched in Japan in 2026-05, with no mainland China release plans seen. V2EX already hosts workarounds from mainland users (cloud-browser US IP + Visa/Mastercard $1 verification) — a gray area.
  2. Structural judgment (marsbit 2026-10-04, opinion): China "can't wait for Muse" not because of a technology gap, but an ecosystem-structure difference — America's open web plus antitrust wall-breaking lets browser agents reach services across the whole web; China's services are enclosed in super-apps with a barren web layer: "the same key opens a vast expanse in America, and hits a wall in China."
  3. Alternative paths:
    • The independent Manus (Chinese founding team): resumed operations; in 2026-09 negotiated a $500M raise at a $4B valuation (Bloomberg, single-source) [Fact + single-source];
    • Domestic in-ecosystem API route: the Qwen app connects to Taobao/Alipay/Fliggy/Amap, with 400+ AI errand features (2026-01) [Authoritative media via The Paper];
    • Domestic system-level GUI route: the Doubao phone-assistant consumer edition (2026-09) + SAEP protocol [Authoritative media via The Paper];
    • Open-source self-hosting: Chinese open models like Qwen/GLM/DeepSeek plus Muse Glimmer (if Apache 2.0 holds — single-source) for developers to build their own agents.
  4. Policy risk note (analysis): the Manus case shows China treats autonomous-agent technology as a sensitive asset with restricted cross-border M&A; under data-localization requirements, Meta's personal agent has no short-term path to the mainland market; Chinese users of Muse must also consider data-export compliance and account-risk exposure.

Timeline of Key Events

Date Event Confidence
2023-02 Llama 1 released, leaked on 4chan a week later Authoritative media
2023-07 / 2024-04 Llama 2 / Llama 3 open-weight releases Authoritative media
2024-10 Zuckerberg's "Open Source AI is the Path Forward" Authoritative media
2025-01 DeepSeek released a strong open model, shaking Meta's open-source base Authoritative media
2025-04 Llama 4 released, amid reputation and benchmark controversies Authoritative media
2025-06 $14.3B for 49% of Scale AI, Wang joined Authoritative media
2025-06-30 Internal memo announced MSL's formation Officially confirmed
2025-07-14 Threads: hundreds of billions in compute; Prometheus/Hyperion Officially confirmed
2025-07-30 "Personal Superintelligence" open letter Officially confirmed
2025-09 Connect 2025: Ray-Ban Display ($799) Authoritative media
2025-10 MSL restructured, ~600 laid off Single-source
2025-11/12 LeCun left to start a venture; Hyperion–Blue Owl $27B JV Authoritative media (months weak)
2025-12-29 Meta announced ~$2B Manus acquisition Authoritative media
2026-01 Reuters: Ray-Ban Display's global rollout delayed on US demand; Reality Labs cut ~10% Single-source chain
2026-04-08 Muse Spark released (first closed model) Authoritative media
2026-04 China's NDRC ruled to block the Manus deal Authoritative media
2026-05 Meta laid off 8,000 Weak dual-source, questionable
2026-06-12 Bloomberg: Meta internally sunset Manus Authoritative media
2026-07-13 Hyperion expanded to $50B+/5GW Authoritative media
2026-07-28 El Paso 1GW JV with BlackRock Authoritative media
2026-08-10 "The Future is for Everyone" manifesto + Muse Glimmer Officially confirmed / single-source
2026-08-11 Manus announced restored independence Authoritative media
2026-09-02 Muse Spark 1.3 (developer model) Single-source
2026-09-08 Muse personal agent launched (US-only) Authoritative media
2026-09-17 Muse Mac client Multi-source
2026-09-22 Reuters exposed "human concierge"; Meta rolled back Authoritative media
2026-09-23/24 Connect 2026: glasses lineup + Muse in glasses Multi-source
2026-10-13 Ray-Ban Meta Audio ships; Display lands in France/Italy/Germany (planned) Multi-source

Unconfirmed Items

  1. Muse pricing tiers (free / $20 / $100 and token caps): only weak sources like tech-insider; Meta's help-center "subscriptions" page was not verified item by item — defer to Meta's official help center.
  2. Muse downloads (2.5M in two weeks, topping the App Store): only a second-hand citation of Sensor Tower via the LA Times; no official Meta figures.
  3. Muse Glimmer (29.6B parameters, Apache 2.0): mentioned only by bit.com/businessmodelanalyst; no Meta official press release seen.
  4. Tencent et al. buying back Manus for $2B: the Caixin report explicitly states "unconfirmed by either side."
  5. MSL's 2025-10 layoff of 600, Meta's 2026-05 layoff of 8,000: weak sources, no Meta official confirmation seen.
  6. Manus's $500M raise at a $4B valuation: Bloomberg's 2026-09-17 report said it was "not yet completed."
  7. "Jony Ive involved in designing Meta's new AI assistant": mentioned only by techdefused, questionable, not used.
  8. Meta recruiting Signal's founder for Muse's confidential VM: mentioned only in one podcast summary, not cross-verified.
  9. $567M child-safety court fine: mentioned only by TechCrunch, no judgment document or second source seen.
  10. Quantified goals like "billions of personal agents within years": seen only in video-description relays, no official original text.
  11. This research did not obtain Meta's official "Introducing Muse" press release (the specific about.fb.com URL did not appear complete in search results; no guessed visits were made); Muse feature descriptions are based on the official help center (verified live) cross-checked with multiple media outlets.

Source List

Official primary sources (verified live / read in full)

Authoritative media

Single-source / weak sources (flagged as questionable in the report): tech-insider.org (pricing), insearchofyourpassions.com (Muse review), mexc.com/webpronews (Muse Spark scores), implicator.ai (hybrid open-source), business20channel.tv (checkpoint proposal), financefeeds.com (8,000 layoffs), currato.com (NYT interview relay), sources.news (podcast summary), nerdheadz.com (Manus funding), businessmodelanalyst.com (poll and manifesto criticism), misryoum.com (data-center criticism).