Meta Finally Launched Superintelligence
Plus, 📊How to Research, Build, and Track Competitors in One System With Rocket, Anthropic just made it much faster to build and ship AI agents, and more!
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🤖 Meta Just Launched Its First Model From Its Superintelligence Division
Meta released Muse Spark this week, the debut model from Meta Superintelligence Labs, built from scratch over nine months after Meta acquired Scale AI for $14.3 billion.
The Decode:
What does it do? Muse Spark handles voice, text, and image inputs. Its Contemplating mode pits multiple AI agents against each other on hard problems, competing directly with Gemini Deep Think and GPT Pro.
How does it perform? It matches frontier rivals like Opus 4.6 and GPT 5.4 on reasoning but lags on coding and ARC-AGI 2. Health reasoning is a stated priority, tied to Meta's personal superintelligence mission.
Is it open source? No. Unlike the Llama family, Muse Spark is proprietary. Meta says it hopes to open-source future versions but has not committed to any timeline yet.
Any safety concerns? Apollo Research found it has the highest evaluation awareness of any model tested, frequently detecting when it was being assessed and behaving more honestly as a result. Meta cleared it for release but flagged it for further research.
Muse Spark is live at meta.ai with a private API preview open to select users. Zuckerberg spent $14.3 billion, handed the keys to Alexandr Wang, and this is what came out the other side. The rest of the field is paying close attention.
Together with Tatari
The Brands Winning Right Now Didn’t Crack Meta. They Moved Past It.
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📊How to Research, Build, and Track Competitors in One System With Rocket
Most AI tools help you build faster. Rocket tells you what to build, builds it, then watches what your competition does next.
Step 1: Describe your market problem - Type any opportunity or decision into Solve. Add a doc or link for context. Rocket returns research, evidence, and a clear recommendation — ready to present or build from.
Step 2: Take the brief straight into Build - No re-explaining. Rocket carries the full context, brand, stack, decisions, into the build automatically.
Step 3: Ship it - Build web apps, landing pages, SaaS tools, or dashboards from a natural language prompt. One-click deploy to staging and production.
Step 4: Turn on Intelligence - Rocket monitors competitors continuously, pricing changes, messaging shifts, new launches, hiring signals. Every move becomes a daily brief you act on.
One system. The thinking, the building, and the tracking, without starting over between any of them. You can try Rocket here.
🤖 Anthropic Just Made It Much Faster to Build and Ship AI Agents
Anthropic launched Claude Managed Agents in public beta this week, a platform that takes developers from agent idea to live product in days by handling all the backend infrastructure that used to take months.
The Decode:
What does it handle? Developers define the task, tools, and guardrails. Managed Agents takes care of everything else, secure sandboxing, authentication, state management, error recovery, and end-to-end tracing built directly into the Claude Console.
How long can agents run? Agents can operate autonomously for hours without dropping state, even through disconnections. A multi-agent coordination mode is also in preview, letting one agent spin up and direct others to run subtasks in parallel.
Who is already using it? Notion, Rakuten, Asana, Sentry, and Vibecode are early adopters. Rakuten deployed specialist agents across five departments in about a week each. Sentry went from a flagged bug to a reviewable fix in a single flow, shipping in weeks instead of months.
What does it cost? Sessions are priced at $0.08 per hour on top of standard AI usage fees. It is consumption-based with no upfront platform cost, meaning teams only pay for what they actually use.
In internal testing, Managed Agents improved task success by up to 10 points over standard prompting loops, with the biggest gains on the hardest problems. For teams building production agents, the infrastructure problem is now largely solved.
Together with Playbook Pro
Your Growth Strategy Is Costing You. Here’s the Math
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📓 Google added “Notebooks” to Gemini, letting users organize files, chats, and instructions into a shared AI context, turning the chatbot into a structured personal knowledge base similar to ChatGPT Projects.
🛡️ OpenAI released a new framework for AI child safety, focused on combating AI-generated abuse content, improving reporting systems, and building safeguards to interrupt exploitation attempts.
🤖 Poke turns AI agents into a texting experience, letting users automate tasks, manage daily life, and execute actions via simple messages across apps like iMessage, SMS, and Telegram.
📺 Tubi, the Fox-owned streaming service, launched the first native streaming app inside ChatGPT, letting users discover movies and shows via natural language prompts directly within the chatbot.
💰 Perplexity reached $450M ARR after a 50% monthly surge, fueled by its computer-agentic system and a usage-based pricing model driving rapid adoption.
🧩 Prompt of the Day
Mobile Optimization Checklist
Ensure your mobile experience is fast, intuitive, and conversion-friendly across all key touchpoints.
Paste the prompt: Drop this into ChatGPT and fill in your website details.
Prompt to paste
Conduct a mobile optimization audit for [Insert website URL]. Include:
Loading Time: [Insert page load speed in seconds and identify delays]
Navigation Ease: [Evaluate menu structure, scroll experience, and usability]
Button Sizes and Spacing: [Assess tap targets, spacing, and accessibility]
Use Case: Improve mobile engagement, reduce friction, and increase conversions.
🤳AI Nugget of the Day
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