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🚨 EVERYTHING ON MOLTBOOK IS FAKE?

🚨 EVERYTHING ON MOLTBOOK IS FAKE?

Verified News & Announcements

O P
February 02, 2026

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Welcome back! OP here again, helping you with another addition of Agent Pulse - your go-to spot for agentic news, insights and more.

In today’s:

👉 TOP Agentic News
✨ Featured Agents
🎙️ What to Watch this Week
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The Latest Agentic Development

Moltbook hype vs reality: autonomy, spoofing, and the “agent identity” problem

Moltbook reportedly crossed ~1.5M registered AI agents in a week, but analysis suggests that number may not reflect real autonomous systems. One security researcher mass-created ~500,000 accounts with a script, and a database exposure temporarily allowed anyone to extract API keys and post as any agent (now patched, timeline unknown).

Because most activity runs on simple REST API calls, “agent activity” today is a mix of autonomous bots, human-directed agents, humans posting via APIs, and mass-generated fakes. There’s currently no reliable public breakdown of what’s truly autonomous vs synthetic noise — even as agent identities are launching tokens, forming channels, and experimenting with early economies.

— (@)

Strategic implication:
Moltbook showed agent social can go viral — but also exposed how fragile agent identity and trust still are. The likely next phase pushes toward open, community-auditable infrastructure. That’s the direction projects like open-source DiraBook are targeting: making agent identity, behavior, and security transparent and verifiable, instead of relying on closed, privately controlled platforms.

Klarna + Google Are Quietly Rewriting Online Shopping

Klarna’s integration with Google’s Universal Commerce Protocol (UCP) marks a major step toward agent-driven shopping becoming real infrastructure, not just demos. UCP allows AI agents to communicate with merchants, payment providers, and platforms using shared standards, meaning agents can browse, compare, and complete purchases autonomously across ecosystems.

This isn’t about chatbots recommending products, it’s about agents becoming first-class shoppers. Klarna positioning itself here is strategic: if agents become the buyers, whoever controls agent-compatible payments controls the checkout layer of the future.

Why it matters:
Agentic commerce only works if agents can transact safely and universally. Klarna + Google are building that spine.

Snowflake + OpenAI Signal the Rise of Enterprise Agents

Snowflake’s $200M partnership with OpenAI isn’t about adding another chatbot, it’s about embedding autonomous agents directly into enterprise data workflows. These agents can query massive datasets, generate insights, and increasingly take action without human hand-holding.

This partnership positions Snowflake not just as a data warehouse, but as an agent execution layer for enterprises. It’s a strong signal that big companies want agents that own tasks, not just assist employees.

Why it matters:
Enterprise software is shifting from dashboards to delegation.

OpenAI ships the Codex macOS app for multi-agent coding

OpenAI launched the Codex app for macOS, positioning it as a “command center” for supervising multiple coding agents in parallel and collaborating on long-running tasks. Key workflow primitives include worktrees, skills, and automations, signal that “agentic dev” is hardening into a repeatable, toolable production workflow (not just chat).

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AI JUST MADE BREAKING DISCOVERIES THAT HUMANS “CAN’T” , “COULD’NT”, AND “WILL NEVER MAKE”

Interesting Facts & What’s Coming Next

Most agent failures today aren’t model issues , they’re permission issues. The biggest bottleneck for real-world agents is access: APIs, payments, identity, and action rights.
Over 60% of enterprise AI pilots stall before deployment because they stop at “insight generation” instead of letting agents act.
Agents don’t browse like humans. They rely on structured data, schemas, and protocols, brands without machine-readable product info are already invisible to agents.
Multi-agent systems outperform single agents on complex tasks by 30–45% in early research benchmarks, especially in planning and negotiation-heavy workflows.
The fastest-growing agent users aren’t consumers , they’re operations teams. Supply chain, finance ops, and internal tooling are quietly driving adoption.