011. What Claude Mythos Leaks Reveal
Claude Mythos leaks reveal that Anthropic has built an AI model so powerful they won't release it to the public yet. The leaks come from organizations testing Mythos privately, including government agencies, security firms, and major tech companies. These are not rumors — they are published findings from sources like the UK's AI Security Institute, Cloudflare, and security researcher teams.
The core story is simple: Mythos can do expert-level work autonomously, faster than any previous AI model. It can examine complex systems, find hidden weaknesses, and chain them into serious exploits. This is a capability jump, not a small update.
The test results and security incidents show a model that operates at the level of a senior researcher. For businesses, the signal is clear — AI is getting much more capable, and the gap to prepare is shrinking.
022. Key Findings from the Mythos Leaks
The leaks this week include three major reports. The UK AI Security Institute (AISI) published an updated assessment. They called Mythos a notable capability jump over a version they tested just a month earlier.
They also ran the Calling Tower cybersecurity test, which no AI model had ever solved. Mythos completed it in 3 out of 10 attempts. The AISI noted that the length of tasks frontier AI can complete autonomously has doubled in months, not years.
- Cloudflare's report: Mythos performs at the level of a senior researcher. It can identify multiple small weaknesses, figure out how they connect, and chain them into a serious problem. Because of this, some Cloudflare teams moved to two-hour patch SLA windows.
- Apple M5 chip bypass: A team called Caliph used Mythos Preview to find a local privilege escalation exploit on Apple's M5 chip. It bypassed Apple's memory integrity enforcement (MIE), a hardware-level security feature. The result: run one command as a standard user and get full root access.
- Global regulators involved: The Financial Stability Board (FSB) is being briefed directly by Anthropic. The Bank of England and US authorities are cooperating. Goldman Sachs CEO David Solomon and JP Morgan's Jamie Dimon are both publicly aware of Mythos.
033. How to Set Up a Claude Agent System
The episode shows how to build an agent operating system (agent OS) for Claude. This system runs in the background and handles tasks automatically. You don't need to prompt it every time.
Here are the setup steps shown in the episode:
- Create a shared memory file for Claude that stores your business details — your offer, tone, clients, and goals.
- Build workflows around that memory. For example, an inbox monitor that identifies new leads, researches them, and drafts personalized responses.
- Connect your agent OS to your actual workflows, like content creation, sales follow-ups, or pipeline tracking.
- Set the system to run on a schedule or trigger. It should act without you remembering to prompt it.
- Review and approve outputs daily. You check in, approve, and move on — the system handles the heavy lifting.
044. How to Use Claude for Business Tasks
The episode walks through practical uses of Claude inside an agent OS. One workflow monitors your inbox, identifies new leads, researches them (using the memory file for context), and drafts a personalized email ready for your approval. Another workflow takes raw ideas and turns them into structured content plans.
A third tracks your sales pipeline and flags any follow-ups that have gone cold.
All these workflows run automatically. You don't open a chatbot every time. The agent OS works in the background, using Claude's capabilities without your constant attention.
The episode stresses that the same underlying direction of capability — AI doing complex expert work autonomously — makes these everyday tasks possible. The advanced Mythos version used by Cloudflare and Apple is the same technology, just scaled up. The version you have access to today is already powerful enough to save hours weekly.
055. Results and Comparisons Shown in the Episode
The episode compares OpenAI and Anthropic directly. Sam Altman tweeted that ChatGPT has improved a lot, leading to speculation about GPT 5.6. The rumor profile for GPT 5.6 includes better coding, stronger front end, more capable agents, and cheaper operation.
But the episode notes that Anthropic is sitting on a model so powerful they won't release it publicly. The AISI called Mythos a notable capability jump. Cloudflare moved to two-hour patch windows because of it.
The key comparison: OpenAI is shipping updates, but Anthropic is managing a carefully controlled rollout of something far ahead. The episode argues that both models are capable of running serious agent systems today. The question is not which one wins — it's how you implement both for maximum leverage.
The results from the leaks show Mythos at Level 3+ capabilities, completing tasks no other model has done. The episode also warns that waiting for public release of Mythos costs you — the businesses that build systems now will have months of compounding advantage.
066. Tips, Limits and Mistakes to Avoid
The episode identifies three common beliefs that keep people stuck. First, thinking this is too advanced for you. The test results involve deep technical territory, but the same underlying capability — AI doing complex expert work autonomously — applies to everyday business tasks.
When Claude researches a prospect or drafts a content plan, it uses the same direction of capability. The gap is your setup, not your skill level.
Second, waiting for Mythos to be publicly available before investing. The episode argues this logic costs you. Businesses building agent systems now will have memory systems trained on their business, tuned workflows, and optimized prompts.
When Mythos drops, they plug it in and get a more powerful system instantly. Waiters start from zero. Build the system now, better models make it better.
Third, assuming OpenAI is winning. Sam Altman's tweet is genuine, but Anthropic locked a model because it's too capable to release. Both models are powerful today.
The episode warns against picking sides — use both for your business. The 99% mistake is watching but not implementing.
077. Who Should Use a Claude Agent System and Why
This is for any knowledge-based business owner — content, marketing, sales, agencies, client delivery, research. Any area where output has been gated by human hours. The episode argues that the capability curve is still steep and accelerating. The window to get ahead is open but not permanent.
The agent OS turns Claude from a chatbot you occasionally prompt into a system that runs in the background every day. Every time Anthropic ships a new capability, the agent OS absorbs it and your whole system gets more powerful automatically. That's a compounding effect.
The episode mentions 3,000 business owners already running Claude agents inside the AI Profit Boarding program, with daily tutorials, a 30-day roadmap, and weekly coaching calls. The leaks signal that AI's pace is unlike anything before. The cost of waiting went up again.
