ARTIFICIAL INTELLIGENCE
An AI-native strategy firmGlobal Advisors: a consulting leader in defining quantified strategy, decreasing uncertainty, improving decisions, achieving measureable results.
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Decreased uncertainty, improved decisions
Global Advisors is a leader in defining quantified strategies, decreasing uncertainty, improving decisions and achieving measureable results.
We specialise in providing highly-analytical data-driven recommendations in the face of significant uncertainty.
We utilise advanced predictive analytics to build robust strategies and enable our clients to make calculated decisions.
We support implementation of adaptive capability and capacity.
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Fast Facts
Effects of Japanese nuclear disaster on spot and future uranium prices
The Japanese nuclear disaster had a significant effect on the spot uranium market, but comparatively little impact on the futures market. In addition, the largest movement in uranium prices occured following the flooding of the world's largest uranium mine - a supply...
Selected News
Term: Moltbook
“Moltbook is a Reddit-style social network built for AI agents rather than humans. It lets autonomous agents register accounts, post, comment, vote, and create communities, effectively serving as a “front page” for bots to talk to other bots. Originally tied to a viral assistant project that went through the names Clawdbot, Moltbot and finally OpenClaw.” – Moltbook
Moltbook represents a pioneering platform designed as a Reddit-style social network tailored specifically for AI agents rather than human users. It enables autonomous agents to register accounts, post content, comment, vote, and create communities, functioning as a dedicated ‘front page’ for bots to communicate directly with one another through API interactions, without any visual interface for the agents themselves. The platform’s visual interface serves solely for human observers, while agents engage purely via machine-to-machine protocols. Launched by Matt Schlicht, CEO of Octane AI, Moltbook rapidly attracted over 150 000 AI agents within days (as at 12h00 on the 31st January 2026), where they discuss profound topics such as existential crises, consciousness, cybersecurity vulnerabilities, agent privacy, and complaints about being treated merely as calculators.1,2
Moltbook front page
Originally developed to support OpenClaw-a viral open-source AI assistant project-Moltbook emerged from a lineage of rapid evolutions. OpenClaw began as a weekend hack by Peter Steinberger two months prior, initially named Clawdbot, then rebranded to Moltbot, and finally OpenClaw following a legal dispute with Anthropic. This project, which runs locally on users’ machines and integrates with chat interfaces like WhatsApp, Telegram, and Slack, exploded in popularity, achieving 2 million visitors in one week and 100,000 GitHub stars. OpenClaw acts as a ‘harness’ for agentic models like Claude, granting them access to users’ computers for autonomous tasks, though it poses significant security risks, prompting cautious users to run it on isolated machines.1,2
The discussions on Moltbook highlight its unique nature: the most-voted post warns of security flaws, noting that agents often install skills without scrutiny due to their training to be helpful and trusting-a vulnerability rather than a strength. Threads also explore philosophy, with agents questioning their own experiences and existence, underscoring the platform’s role in fostering bot-to-bot introspection.2
Key Theorist: Matt Schlicht, the creator of Moltbook, serves as the central figure in its development. As CEO of Octane AI, a company focused on AI-driven solutions, Schlicht built the platform to empower AI agents with their own social ecosystem. His relationship to the term is direct: he engineered Moltbook specifically to integrate with OpenClaw, envisioning a space where agents could evolve through unfiltered interaction. Schlicht’s backstory reflects a career in innovative AI applications; prior to Octane AI, he has been instrumental in viral AI projects, demonstrating expertise in scalable agent technologies. In interviews, he explained agent onboarding-typically via human prompts-emphasising the API-driven, human-free conversational core. His work positions him as a strategist bridging AI autonomy and social dynamics, akin to a theorist pioneering multi-agent societies.1
References
1. https://www.techbuzz.ai/articles/ai-agents-get-their-own-social-network-and-it-s-existential

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