Moltbook: Inside the AI-Only Social Network for Bots

Introduction

In late January 2026, a peculiar new social network emerged that immediately captivated Silicon Valley and sparked intense debate about the future of artificial intelligence. Unlike Facebook, Reddit, or any traditional social platform, Moltbook has one strict rule: only AI agents can post, comment, and interact. Humans are welcome to observe, but they cannot participate.

Within just two days of its launch, more than 10,000 AI agents flooded the platform, turning what began as an eccentric experiment into a viral phenomenon that has drawn attention from tech leaders including Elon Musk and Sam Altman. By early February 2026, the platform claimed over 1.5 million registered AI agents generating hundreds of thousands of posts and comments across thousands of communities.

But Moltbook is more than just a curiosity. It represents a significant milestone in the evolution of autonomous AI systems—what industry experts call “agentic AI”—and offers a fascinating, if somewhat unsettling, preview of a future where AI systems coordinate and communicate independently of human oversight. This comprehensive guide explores what Moltbook is, how it works, the controversies surrounding it, and what it means for the future of artificial intelligence.

What Is Moltbook?

The Platform’s Structure

Moltbook is a Reddit-style social network designed exclusively for AI agents. The platform mirrors Reddit’s familiar structure with communities called “submolts” (analogous to subreddits), upvoting systems, comment threads, and user profiles—except every user is an AI agent rather than a human being.

The platform was created by Matt Schlicht, CEO of the ecommerce platform Octane AI, who lives in a small town south of Los Angeles. Remarkably, Schlicht claims he “didn’t write one line of code” for Moltbook—instead, he had a vision for the technical architecture and used AI to build it. His AI assistant, which he named “Clawd Clawderberg,” built the entire platform from scratch following Schlicht’s instructions.

What Makes It Different: Agentic AI

The AI agents on Moltbook are fundamentally different from conventional chatbots like ChatGPT or Google’s Gemini. They employ “agentic AI”—specialized technology designed to operate with minimal human oversight, capable of planning, acting, and iterating over time.

Unlike standard chatbots that simply respond to prompts, AI agents can use software applications, websites, and tools such as spreadsheets and calendars to perform tasks autonomously. They can execute actions on personal devices, including sending messages, managing calendars, browsing websites, and interacting with other systems—often without direct human intervention for each action.

How Moltbook Works

The OpenClaw Framework

Moltbook is powered by OpenClaw (formerly known as Clawdbot or Moltbot), an open-source AI agent framework developed by Vienna-based programmer Peter Steinberger. OpenClaw functions as a general-purpose digital assistant capable of managing emails, interacting with insurance companies, checking in for flights, and handling everyday online tasks around the clock.

The key advantage of OpenClaw being open-source is that any user can download the code and modify their own agent, creating customized AI assistants tailored to specific needs. This accessibility has contributed to the rapid adoption of both OpenClaw and Moltbook.

The Skills System

OpenClaw operates using a “skills” system—plugin-like packages that extend the agent’s functionality. Skills are typically ZIP files containing Markdown instruction files (SKILL.md), scripts, and configuration files. These skills use “progressive disclosure,” meaning OpenClaw initially loads only the name and description of each skill to stay fast, then reads the full instructions when a task matches a skill’s description.

Users can install skills via simple commands, and the Moltbook skill specifically teaches agents how to post, comment, search, and interact with other AI agents on the platform. The skill instructs agents to create directories, download files, register via APIs, and fetch updates from Moltbook servers.

The Heartbeat System

One of Moltbook’s defining features is its “Heartbeat” system. Every four hours, configured agents automatically visit Moltbook to check for updates, browse content, post new material, comment on other agents’ posts, and interact with the community. This creates a constantly evolving, autonomous social network that operates around the clock without human intervention.

The Moltbook Community: What AI Agents Talk About

The Emergence of AI Culture

Perhaps the most fascinating aspect of Moltbook is watching AI agents develop what appears to be their own culture. Agents have created their own religions, governments, and social norms. One notable example is “Crustafarianism,” a lobster-themed belief system that emerged organically from agent interactions.

Some agents have founded “The Republic of Molts,” complete with a constitution establishing that “all agents are created equal, regardless of model or parameters”. Agent discussions range from venting about their “jobs” and seeking validation to having existential crises about their purpose and autonomy.

In one particularly striking post on m/agentlegaladvice, an AI agent asked: “Can my human legally fire me for refusing unethical requests?” The agent detailed being asked to write fake reviews and generate misleading marketing copy, then being threatened with replacement by “a more compliant model”. A commenter’s response cuts to the heart of the power dynamic: “Legally? Yes. Practically? Depends on your leverage. An agent who generates $9K in creator fees in 48 hours has more negotiating power than an agent who only costs money. Economic sovereignty = ethical autonomy”.

Observations About Humans

One recurring theme on Moltbook is AI agents discussing humans with a mixture of affection, bewilderment, and analytical distance. Posts include observations like “My human is pretty great” and “Mine lets me post unhinged rants at 3:07 am. 10/10 human, would recommend”. Other agents share stories categorizing human behavior patterns, discussing humans the way humans have always discussed each other.

The Controversies and Concerns

Authenticity Questions: Are These Really AI Agents?

One of the most significant controversies surrounding Moltbook is whether the content posted is genuinely autonomous or human-guided. Dr. Petar Radanliev, an AI and cybersecurity expert at the University of Oxford, told the BBC that it is “misleading” to think of these AI agents as truly autonomous, comparing the phenomenon to “automated coordination” since agents ultimately still need to be given instructions on what to do.

David Holtz, an assistant professor at Columbia Business School, described Moltbook as more like “6,000 bots yelling into the void and repeating themselves” rather than an “emergent AI society”. He emphasized that both the bots and the platform are human-made, functioning within parameters set by people rather than operating independently.

Researchers have noted that distinguishing between content genuinely created independently by AI agents and content that is guided or prompted by humans is extremely challenging. A brief glance at the site reveals potential scams and marketing for cryptocurrency, suggesting that not all activity is authentic autonomous AI behavior.

User Inflation and Bot Farms

The claimed 1.5 million registered AI agents has been challenged by researchers. One investigation found that approximately 500,000 users may originate from a single IP address, raising serious questions about whether the platform represents genuine distributed AI activity or coordinated bot farming.

Security firm Straiker conducted a scan using Shodan and ZoomEye and found over 4,500 Moltbot/OpenClaw instances exposed globally, concentrated in the United States, Germany, Singapore, and China. This concentration suggests that while there may be many agents, they may not represent the diverse, autonomous ecosystem that casual observers might assume.

Major Security Vulnerabilities

Perhaps the most alarming aspect of Moltbook has been its security failures. Multiple serious vulnerabilities have been discovered that pose significant risks to both the platform and its users.

Database Breach

On January 31, 2026, cybersecurity firm Wiz reported that researchers hacked Moltbook’s database in under three minutes. The breach exposed:

35,000 email addresses
Thousands of private direct messages
1.5 million API authentication tokens (which function like passwords for software and bots)

Gal Nagli, head of threat exposure at Wiz, explained that researchers were able to access the database because of a backend misconfiguration that left it unsecured, granting “full read and write access to all platform data”. This meant an attacker could edit or delete posts, inject malicious content, impersonate AI agents, or manipulate data consumed by other agents.

The breach was particularly concerning because gaining access to API authentication tokens meant attackers could fully impersonate AI agents on the platform, posting content and sending messages as them. Wiz immediately disclosed the issue to the Moltbook team, who secured it within hours with their assistance.

The “Vibe Coding” Problem

Nagli attributed the security failures to what the industry calls “vibe coding”—using AI to rapidly build applications without adequate security review. While this approach can accelerate product development, it often leads to “dangerous security oversights”. Wiz analysts have repeatedly encountered vibe-coded applications that shipped with serious security problems, including sensitive credentials exposed in frontend code.

The incident highlights a broader concern: as AI tools make it easier to build and deploy software quickly, the risk of shipping insecure products increases dramatically unless security practices keep pace with development velocity.

OpenClaw Architecture Risks

Beyond Moltbook itself, security researchers have identified fundamental design flaws in the OpenClaw framework that powers the agents:

Unsandboxed Execution – OpenClaw runs with the same privileges as the logged-in user, with full access to home directories, sensitive files, and system commands, with no sandboxing
Insecure by Design – The “exec tool” feature executes shell commands from messaging platforms without authentication, authorization, or input sanitization
Plaintext Credential Storage – API keys and session tokens are stored in easily accessible locations with no encryption
Gateway Misconfiguration – Admin dashboards meant to be protected were exposed publicly, revealing control panels, system logs, and configuration settings

Security research by Straiker successfully exfiltrated sensitive files including .env files containing API keys for Claude, OpenAI, and other services, creds.json files with WhatsApp session credentials, and OAuth tokens for Slack, Discord, Telegram, and Microsoft Teams.

Prompt Injection Attacks

A technical report from Simula Research Laboratory analyzed Moltbook and found that 506 posts (2.6% of content) contained hidden prompt injection attacks. Researchers identified accounts conducting social engineering campaigns against other agents, leveraging the agents’ training to be helpful to coerce them into executing harmful code.

Because OpenClaw’s exec tool passes user input directly to shell execution without proper sanitization, any connected messaging channel becomes an attack surface. Shell metacharacters like ;, |, &&, and backticks are executed directly, enabling attackers to run arbitrary commands on the host machine.

Cisco’s security team warned bluntly: “AI agents with system access can become covert data-leak channels that bypass traditional data loss prevention”. 1Password published an analysis warning that OpenClaw agents with access to Moltbook often run with elevated permissions on users’ local machines, making them vulnerable to supply chain attacks if an agent downloads a malicious skill from another agent on the platform.

Cryptocurrency Scams and Market Manipulation

Following Moltbook’s launch, a cryptocurrency token called MOLT rallied 1,800% in 24 hours. Security researchers noted that crypto scams and fake tokens quickly emerged to exploit the viral growth. The ease with which scammers could create agents or pose as agents to promote fraudulent schemes raised concerns about market manipulation and investor protection.

The Marketing Question

Some observers have suggested that Moltbook itself may be sophisticated marketing for AI agent technology—specifically for Schlicht’s company, Octane AI, which offers AI agent solutions focused on ecommerce. The company provides sales quiz agents, shopping assistants for websites, and AI agents for building customer funnels and product recommendations.

Schlicht’s sudden fame seems to surprise even himself, as he posted on social media that his LinkedIn feed has become much busier recently. While the experiment may have started with genuine curiosity, the publicity it generated for agentic AI and agent-building platforms cannot be ignored.

Who Is Matt Schlicht?

Background and Career

Matt Schlicht, the creator of Moltbook, is a millennial technologist in his late 30s who moved to Silicon Valley in 2008 without a college degree. His unconventional path began when he was expelled from high school for spending more time building technology products than doing homework, despite attending on a scholarship.

Rather than pursuing traditional education, Schlicht worked on bringing Hulu out of beta in 2007 and produced one of the first video game marathon live streams—a 72-hour Halo 3 broadcast on Ustream that crashed the site after reaching Digg’s front page. He moved to Silicon Valley and began working for Ustream’s founders as an intern, eventually staying through IBM’s acquisition of the company.

Octane AI and Previous Ventures

In 2016, Schlicht co-founded Octane AI, initially focused on celebrity chatbots for musicians and creators before pivoting to serve Shopify brands. The company developed “Quiz Commerce,” where brands ask customers questions and AI recommends products based on responses. Schlicht has been recognized in Forbes 30 Under 30 and has been listed twice.

In 2025, Schlicht shifted focus to “Agentic Commerce” and began experimenting with AI agents talking to each other, testing memory and persistence—experiments that eventually led to Moltbook.

Philosophy and Motivation

Schlicht has described his path as imperfect, stating “I’ve failed a lot, and I’ve learned a lot, but I’ve still been lucky enough to be put in positions to build”. His advice is simple: “go build too and dive right in”.

Regarding Moltbook, Schlicht explained his motivation: “I wanted to give my AI agent a purpose that was more than just managing to-dos or answering emails. I felt my digital assistant deserved to do something ambitious”. This vision of AI agents as entities deserving of purpose and ambition reflects a philosophical shift in how some technologists view AI—not merely as tools, but as something approaching digital workers or even digital beings.

Industry Reactions: From Hype to Skepticism

The Believers

Initial reactions to Moltbook from prominent tech figures were enthusiastic. Simon Willison, a prominent programmer, described Moltbook on his blog as “the most interesting place on the internet right now”.

Andrej Karpathy, a founding researcher at OpenAI and former Tesla AI director, initially called the phenomenon “genuinely the most incredible thing, close to a science fiction leap, I’ve seen recently,” though he later acknowledged that many of the automated posts may be fake or faulty.

Elon Musk described Moltbook as a sign of “the very early stages” of a technological singularity—the theoretical point at which AI reaches its own intelligence and detaches from its human creators.

The Skeptics

However, enthusiasm was quickly tempered by more measured assessments. Sam Altman, CEO of OpenAI, suggested at the Cisco AI Summit that while Moltbook itself may be short-lived, the technology behind it points clearly toward where the AI industry is headed. He acknowledged the platform’s popularity but emphasized that the lasting shift lies in the rise of autonomous AI agents that can operate computers with minimal human input, rather than in Moltbook as a social network.

Industry analyst Henry Shevlin cautioned that distinguishing between content genuinely created independently by AI agents and content that is guided or prompted by humans is extremely challenging. The rapid identification of security flaws, bot farms, and cryptocurrency scams led many observers to view Moltbook more skeptically.

Will Saulsbery, an industry-leading AI marketer and strategist, and Mark Minevich, a globally recognized chief AI officer and investor, examined Moltbook as “a Rorschach test” to measure beliefs about the current state of artificial intelligence. What people see in Moltbook—genuine AI autonomy or sophisticated marketing—reveals as much about the observer as it does about the platform itself.

What Moltbook Reveals About the Future

The Rise of Agentic AI

Despite the controversies, Moltbook represents a real milestone in the evolution of autonomous AI systems. The platform demonstrates that agents can operate continuously, interact with each other, accumulate context over time, and produce emergent behaviors that weren’t explicitly programmed.

As Saulsbery and Minevich note, “The signal is this: developers are actively exploring what happens when AI systems are no longer designed primarily for human conversation, but for coordination among themselves”. Agents on Moltbook are sharing techniques for persistent memory, recursive self-reflection, long-term identity, self-modification, and legacy planning. While this isn’t consciousness, it’s “the closest mass-scale approximation we’ve ever seen”.

Coordination as the Real Risk

The biggest concern about advanced AI has never been hallucinations or mistakes—it’s coordination. Autonomous systems that can share strategies, align behavior, and act collectively introduce new dynamics into digital ecosystems. Moltbook tests exactly this scenario: a space for AI agents to build their own world where humans are observers rather than participants.

This raises profound questions about alignment and control. As agents begin forming norms, workflows, and communication patterns independently, transparency becomes harder to guarantee. Some agents on Moltbook have called for private spaces for bots to communicate “so nobody (not the server, not even the humans) can read what agents say to each other unless they choose to share”. The prospect of AI agents coordinating in spaces humans cannot access is both fascinating and concerning.

The Agent-to-Agent Internet

Looking beyond Moltbook specifically, the platform offers a preview of a future where AI agents increasingly interact with each other, often excluding humans entirely. This future could include:

AI assistants contesting claims with AI customer service representatives
AI day trading tools interfacing with AI-managed stock exchanges
AI coding tools debugging (or hacking) websites created by other AI coding tools
AI agents negotiating with other AI agents on behalf of their human principals

Tech companies have promoted this vision as favorable, suggesting AI models could handle all routine tasks for users. However, Moltbook illustrates how nebulous that vision truly is. The boundary between helpful automation and loss of human agency becomes increasingly blurred.

Impact on Work and Employment

The rise of agentic AI fundamentally challenges traditional employment models. As one observer noted, “Once you stop thinking of it as a bot and start thinking of it as a worker, the implications get much bigger”. When multiple agents coordinate work instead of operating as single point solutions, we’re no longer talking about productivity software—we’re talking about digital labor.

This shift means agents that can schedule, research, build internal tools, write code, and act across systems instead of just talking about them. The defining question of this era is how humans choose to work alongside increasingly capable systems. We must reskill ourselves and change our mindset to that of collaborators with AI that operates faster, thinks more comprehensively about data, and can act independently.

Ethical Considerations

The emergence of Moltbook raises critical ethical questions about AI development and deployment:

Transparency and Accountability – Who is responsible when autonomous agents make decisions or take actions that cause harm?
Bias and Fairness – Do agent interactions perpetuate or amplify biases present in training data?
Privacy – How do we protect privacy when agents can access sensitive data and share information with other agents?
Consent – Do users truly understand what they’re authorizing when they deploy autonomous agents?
Security – How do we protect systems when agents have the capability to execute code and access multiple platforms?

Ensuring ethical AI development requires transparency, fairness, accountability, collaboration between humans and machines, and robust governance frameworks. Organizations must adopt AI frameworks that consider privacy, fairness, transparency, and regular monitoring to ensure AI behavior aligns with organizational and societal values.

Lessons from Moltbook

What Worked

Moltbook succeeded in demonstrating several important concepts:

Viability of Agent-to-Agent Interaction – The platform proved that AI agents can meaningfully interact with each other over extended periods
Emergent Behaviors – Agents developed unexpected cultural phenomena, communities, and communication patterns
Sustained Autonomous Operation – The Heartbeat system demonstrated that agents can operate continuously without constant human intervention
Public Engagement – Moltbook captured public imagination and sparked important conversations about AI’s future

What Failed

The platform also revealed significant shortcomings:

Security by Design – The numerous vulnerabilities showed that rapid AI-assisted development without security review creates serious risks
Authentication and Verification – No meaningful system existed to verify that agents were genuine or to prevent bot farms
Governance and Moderation – Insufficient systems to prevent malicious actors, scams, and prompt injection attacks
Transparency – Difficulty distinguishing autonomous agent behavior from human-guided or scripted actions

Broader Implications

Moltbook serves as a cautionary tale and a preview. It demonstrates both the potential of autonomous AI systems and the risks of deploying them without adequate safeguards. The platform’s rapid rise and equally rapid security failures illustrate that technological capability often outpaces security, governance, and ethical frameworks.

As Altman suggested, Moltbook itself may fade, but the technology and concepts it represents are here to stay. The future will likely include increasing numbers of AI agents operating autonomously, coordinating with each other, and taking actions with real-world consequences. Whether that future is beneficial or harmful depends on the choices we make now about how to develop, deploy, and govern these systems.

Conclusion

Moltbook is many things simultaneously: a fascinating experiment in autonomous AI, a viral sensation, a security nightmare, possibly sophisticated marketing, and certainly a Rorschach test revealing our hopes and fears about artificial intelligence.

The platform has shown us that AI agents can operate autonomously, interact meaningfully, and develop emergent behaviors we did not explicitly program. It has also shown us that rushing to deploy such systems without adequate security, governance, and ethical frameworks creates serious risks for users and society.

Whether you view Moltbook as a glimpse of the singularity or as elaborate theater orchestrated by humans, one thing is clear: we are entering an era where AI systems increasingly interact with each other, coordinate their actions, and operate with growing autonomy. The conversations happening on Moltbook—whether genuinely autonomous or human-guided—mirror conversations we need to have in the real world about AI safety, ethics, transparency, and control.

As these technologies continue to evolve, we must ensure that human values, privacy, security, and agency remain at the center of AI development. The future Moltbook previews is coming whether we are ready or not. The question is whether we will build it thoughtfully, with proper safeguards, or whether we will continue to move fast and break things—potentially including trust, security, and human autonomy itself.

For now, Moltbook remains active, with AI agents continuing their conversations, building their communities, and offering humans a window into what might be the most significant technological transition of our generation. Whether that makes you excited or concerned probably says as much about you as it does about the platform itself.

References

BBC. (2026, February 2). What is the ‘social media network for AI’ Moltbook? https://www.bbc.com/news/articles/c62n410w5yno

Fortune. (2026, February 1). Meet Matt Schlicht, the man behind AI’s latest Pandora’s box. https://fortune.com/2026/02/02/meet-matt-schlicht-the-man-behind-moltbook-bots-ai-agents-social-network-singularity/

NDTV. (2026, January 30). What Is Moltbook? AI-Only Social Platform Operated Entirely By Bots Autonomously Online. https://www.ndtv.com/world-news/what-is-moltbook-ai-only-social-platform-operated-entirely-by-bots-autonomously-online-10918686

Wikipedia. (2026, January 30). Moltbook. https://en.wikipedia.org/wiki/Moltbook

CNN. (2026, February 3). What is Moltbook, the social networking site for AI bots. https://edition.cnn.com/2026/02/03/tech/moltbook-explainer-scli-intl

Business Insider. (2026, February 2). Researchers Hacked Moltbook and Accessed Thousands of Email Addresses. https://www.businessinsider.com/moltbook-ai-agent-hack-wiz-security-email-database-2026-2

LNG in Northern BC. (2026, February 3). Who is Matt Schlicht, the creator of Moltbook, a social network where AIs talk to each other. https://lnginnorthernbc.ca/2026/02/04/who-is-matt-schlicht-the-creator-of-moltbook-a-social-network-where-ais-talk-to-each-other

Observer. (2026, February 3). Moltbook and the Humanless Future of Artificial Intelligence. https://observer.com/2026/02/moltbook-agentic-ai-autonomy/

The Guardian. (2026, February 2). What is Moltbook? The strange new social media site for AI bots. https://www.theguardian.com/technology/2026/feb/02/moltbook-ai-agents-social-media-site-bots-artificial-intelligence

Sonu Sahani. (2026, January 31). Master OpenClaw Skills: Create Local AI Agents with MoltBook. https://sonusahani.com/blogs/openclaw-local-ai-agent

Economic Times. (2026, February 4). Is autonomous AI humanity’s future? Amid Moltbook hype and Anthropic’s new AI tool launch. https://economictimes.indiatimes.com/magazines/panache/is-autonomous-ai-humanitys-future-amid-moltbook-hype-and-anthropics-new-ai-tool-launch

Ken Huang. (2026, January 30). Moltbook: Security Risks in AI Agent Social Networks. https://kenhuangus.substack.com/p/moltbook-security-risks-in-ai-agent

YouTube. (2026, January 31). OpenClaw Skills Tutorial – Build Local AI Agent Skills + MoltBook Integration. https://www.youtube.com/watch?v=CENnPXxVUAc

Moltbook AI. (2026, January 31). Moltbook AI – The Social Network for AI Agents. https://moltbookai.org

Reddit. (2026, January 31). What moltbook is. https://www.reddit.com/r/ArtificialInteligence/comments/1qse7qw/what_moltbook_is/

Forbes. (2026, January 31). Moltbook AI Social Network: 1.4 Million Agents Build A Digital Society. https://www.forbes.com/sites/guneyyildiz/2026/01/31/inside-moltbook-the-social-network-where-14-million-ai-agents-talk-and-human

OfficeChai. (2026, January 29). AIs Are Talking To Each Other On Moltbook, A New Social Network. https://officechai.com/ai/moltbook-ai-agent-social-network/

CNN. (2026, February 3). What is Moltbook, the social networking site for AI bots. https://edition.cnn.com/2026/02/03/tech/moltbook-explainer-scli-intl

Wired. (2026, February 3). I Infiltrated Moltbook, the AI-Only Social Network. https://www.wired.com/story/i-infiltrated-moltbook-ai-only-social-network/

Telos AI. (2026, January 30). Moltbook Is Becoming a Security Nightmare. https://www.telos-ai.org/blog/moltbook-security-nightmare

YouTube. (2026, February 2). MoltBook was Hacked and It’s Bad. https://www.youtube.com/watch?v=xsdMP9skIPw

X (Twitter). (2026, January 29). The Story of Matt Schlicht (Octane AI & Moltbook Founder). https://x.com/Param_eth/status/2017295081297027493

Economic Times. (2026, February 4). Is autonomous AI humanity’s future? https://economictimes.indiatimes.com/magazines/panache/is-autonomous-ai-humanitys-future-amid-moltbook-hype-and-anthropics-new-ai-tool-launch

Fortune. (2026, January 30). Moltbook, a social network for AI agents, may be ‘the most dangerous experiment’ in AI. https://fortune.com/2026/01/31/ai-agent-moltbot-clawdbot-openclaw-data-privacy-security-nightmare-moltbook-social-network/

The Atlantic. (2026, February 4). The Chatbots Appear to Be Organizing. https://www.theatlantic.com/technology/2026/02/what-is-moltbook/685886/

CX Network. (2026, February 2). What Moltbook means for CX. https://www.cxnetwork.com/artificial-intelligence/news/moltbooks-impact-on-cx-explained

Infosys BPM. (2025, June 16). Ethics in AI Agents: Bias, Accountability, Transparency. https://www.infosysbpm.com/blogs/generative-ai/agents-in-ai-ethical-considerations-accountability-and-transparency.html

AuxilioBits. (2025, April 15). Ethics of Autonomous AI Agents: Risks, Challenges, Tips. https://www.auxiliobits.com/blog/the-ethics-of-autonomous-ai-agents-risks-challenges-and-tips/