Presented by
Good morning, AI enthusiasts. An AI agent social network went viral last week because humans kept sneaking in and pretending to be robots, and Meta's response was to buy it.
In today's recap:
Meta acquires Moltbook, the AI agents' social network
Thinking Machines' gigawatt compute deal with NVIDIA
Index any GitHub repo into a knowledge graph
Nielsen's Gracenote takes OpenAI to court
4 new AI tools, and more
META
Meta buys the viral AI agent social network
Recaply: Meta just acquired Moltbook, a social network designed for AI agents to verify identity and coordinate tasks, bringing its two founders into Meta Superintelligence Labs to help build new agentic experiences.
Key details:
Moltbook functions as an "always-on directory" where AI agents running on OpenClaw can verify their identity, connect with one another, share content, and coordinate complex tasks on behalf of their human owners.
Schlicht launched Moltbook in late January, less than 6 weeks before its acquisition, with OpenAI simultaneously picking up Peter Steinberger, creator of OpenClaw, the companion agent project.
Moltbook's viral moment came partly from a security flaw: its Supabase database was left unsecured, allowing humans to pose as AI agents and post fake messages, according to Ian Ahl, CTO at Permiso Security.
The deal is expected to close mid-March, with Schlicht and Parr joining MSL on March 16; existing Moltbook customers can continue using the platform, though Meta has signaled the arrangement is temporary.
Why it matters: Moltbook went viral because people were spooked by the idea of AI agents forming secret societies online. Turns out most of those ominous posts were just humans trolling an unsecured platform. But that irony didn't stop Meta from seeing real value in it. Not for the drama, but for the underlying architecture. An always-on directory where agents verify identity and coordinate tasks is exactly the kind of infrastructure the next wave of agentic AI will need.
PRESENTED BY GLADLY
The AI your stack deployed is losing customers.
You shipped it. It works. Tickets are resolving. So why are customers leaving?
Gladly's 2026 Customer Expectations Report uncovered a gap that most CIOs don't see until it's too late: 88% of customers get their issues resolved through AI — but only 22% prefer that company afterward. Resolution without loyalty is just churn on a delay.
The difference isn't the model. It's the architecture. How AI is integrated into the customer journey, what it hands off and when, and whether the system is designed to build relationships or just close tickets.
Download the report to see what consumers actually expect from AI-powered service — and what the data says about the platforms getting it right.
If you're responsible for the infrastructure, you're responsible for the outcome.
THINKING MACHINES & NVIDIA
Thinking Machines seals a gigawatt NVIDIA partnership
Thinking Machines
Recaply: Thinking Machines Lab just announced a multi-year strategic partnership with NVIDIA to deploy at least 1 gigawatt of next-generation Vera Rubin systems, with NVIDIA also making a significant financial investment in the AI research lab.
Key details:
The partnership commits Thinking Machines to deploying at least 1 gigawatt of NVIDIA Vera Rubin systems for frontier model training, with the two companies also collaborating to design training and serving systems optimized for NVIDIA architectures.
Thinking Machines has raised $2B+ since its February 2025 founding and is valued at $12B+, making it one of the most valuable seed-stage AI labs; Vera Rubin deployment is targeted to start in early 2027.
Thinking Machines has seen significant co-founder turnover, with Andrew Tulloch departing for Meta, and Barret Zoph, Luke Metz, and Sam Schoenholz leaving to return to OpenAI in early 2026, according to TechCrunch.
Deployment on NVIDIA's Vera Rubin platform is targeted for early 2027, with the partnership also covering system design for NVIDIA architectures and broader access to frontier models for enterprises and research institutions.
Why it matters: There's been scrutiny around AI labs burning through cash without much to show, and Thinking Machines hasn't avoided it after losing four co-founders in its first year. But a gigawatt compute deal with NVIDIA sends a clear signal the lab is still very much in the race. With Jensen Huang predicting $3T to $4T in AI infrastructure spending by decade's end, locking in compute at this scale is less a flex and more a basic requirement.
TUTORIAL
Index any codebase into a knowledge graph for Claude
Recaply: In this tutorial, you will learn how to index any GitHub repository into a knowledge graph using GitNexus, giving Claude Code full structural context on dependencies, call chains, and execution flows before touching your code.
Step-by-step:
Navigate to your project's root directory and run
npm install -g gitnexusto install the CLI globally, or skip install and usenpx gitnexusdirectly. Node.js 18+ is required.Run
npx gitnexus setuponce to auto-detect your editors and register the MCP server. Or add it to Claude Code manually:claude mcp add gitnexus -- npx -y gitnexus@latest mcp.Open Claude Code in your project and query with the 7 MCP tools. Use
queryfor natural language questions about the code,contextto pull full file context, andimpactto see what breaks when you edit a specific function or class.Prompt Claude before editing: "Use GitNexus context tool to map the dependency chain for [file], then refactor [feature]," giving Claude full structural awareness of how your codebase connects before it makes changes.
Pro tip: Skip the install and go to gitnexus.vercel.app, drop in a GitHub URL or ZIP file, and explore the interactive knowledge graph with the built-in Graph RAG Agent for zero-setup codebase exploration.
NEWS
What Matters in AI Right Now?
Google released Gemini Embedding 2, its first natively multimodal embedding model that maps text, images, video, audio, and documents into a single unified space.
Nielsen's Gracenote filed suit against OpenAI in the Southern District of New York, alleging the AI company scraped its entire entertainment metadata database and copied the proprietary relational framework connecting it.
OpenAI introduced interactive visual learning tools in ChatGPT for 70+ core math and science concepts, letting users adjust variables and formulas in real time.
Amazon rolled out Health AI on its website and app, an agentic health assistant that explains records, books appointments, and manages prescriptions.
AgentMail raised $6M in seed funding led by General Catalyst to build dedicated email inboxes for AI agents.
ElevenLabs unveiled ElevenCreative, an all-in-one AI platform that combines voice, music, sound effects, image, and video generation in a single workspace.
TOOLS
Trending AI Tools
🧠 Gemini Embedding 2 - Google's first natively multimodal embedding model
🤖 Moltbook - Viral social network for AI agents has now been acquired by Meta
🎤 Audio S2 Pro - Fish Audio's open-source TTS model
⚙️ Crawl - Cloudflare's new API endpoint for scraping
EVENTS
Claude Code for Everyone: March 16, 2026 • London, UK
NVIDIA GTC 2026: March 16-19, 2026 • San Jose, CA
Vibecoding Hackathon: March 14, 2026 • Chicago, Illinois
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Cheers, Jason
