Is Claude Mythos Coming?
A YouTuber analyzes the brief appearance of 'Claude Mythos' on Anthropic's API, arguing it signals a marketing move rather than an imminent public launch. Despite competitive pressure from OpenAI and IPO timing, the creator believes Mythos capabilities will quietly fold into future Opus models rather than release publicly under that name. Three possible scenarios are outlined ranging from a limited gated release to Mythos remaining permanently restricted to vetted security partners.
Summary
The video opens with the creator reacting to Claude Mythos briefly appearing on Anthropic's API before being pulled, causing widespread excitement on social media. The creator provides background on Mythos, describing it as a model tier above Opus 4.8 and an entirely new model family that Anthropic has called a 'step change' and their most powerful model ever. Its standout capability is cybersecurity — specifically finding and patching vulnerabilities in code — which is also what makes it potentially dangerous in the wrong hands.
Mythos has only been available through an invite-only program called Project Glasswing, initially rolled out to around 50 partner organizations in April, then expanded to 150 organizations across 15 countries just days before the video. Betting markets give roughly 2-in-3 odds that Mythos goes public by end of July, and those odds have been rising. However, the creator pushes back on the hype by citing Anthropic's own April statement that they 'do not plan to make Mythos preview generally available.'
The creator argues the API leak is likely an intentional marketing move — a low-cost way to generate massive buzz without actually releasing anything. This is contextualized within three larger forces driving hype: Anthropic's confidential IPO filing at a ~$965 billion valuation on June 1st, the irony of Anthropic simultaneously calling for global AI slowdowns while expanding Mythos access, and the competitive race with OpenAI, whose GPT 5.6 has over 80% odds of dropping by end of June according to betting markets.
The creator lays out three scenarios: a bull case where competitive and IPO pressure forces a limited, expensive, toned-down Mythos release later in 2025; a base case where Mythos capabilities are quietly folded into a future Opus model and most users never realize it; and a bear case where Mythos stays permanently locked to vetted glasswing partners as a defensive security tool. The creator's own bet is on the base case — no public Mythos, just Opus absorbing the capabilities over time — while acknowledging the OpenAI race could force Anthropic's hand.
Key Insights
- Anthropic explicitly stated in April that they 'do not plan to make Mythos preview generally available,' and the creator argues nothing since has walked that statement back — meaning the API leak does not signal a change in plan.
- The creator suspects the Mythos API leak was intentional marketing, arguing that a brief appearance followed by removal generates massive organic buzz across social platforms at essentially zero cost — a strategy the creator sees as increasingly common in tech culture.
- Anthropic confidentially filed to go public at a ~$965 billion valuation on June 1st, and just three days later released a dramatic report warning that AI may need to slow down globally — a sequence the creator frames as strategically timed to reinforce the narrative that Anthropic controls the world's most powerful and scary AI before selling stock.
- The creator argues that Mythos pricing for Glasswing partners — approximately $25 per million input tokens and $125 per million output tokens, five times the cost of current Opus — signals that even a limited public release would be far more expensive than what most users currently pay.
- The creator's base case prediction is that Mythos never launches publicly under that name, and instead its capabilities are silently folded into future Opus versions in the second half of 2025 or early 2026, with most users never realizing the transition has happened.
Topics
Transcript
[0:00] Okay, so this morning, Mythos showed up on Enthropics API for a few minutes and then it vanished. So naturally, people screenshotted it and my whole feed just lost it. You know, oh, it's dropping next week. It's over. So before we start counting down to launch day, there's one line buried in Enthropic's own writing that flips this whole story on its head. So what I want to do today is catch you guys up on what Mythos actually is, what really happened this morning, and my honest bet on whether we'll ever get our hands on it. So let's get into it. So, real quick, in case you haven't been following this whole Mythos saga, here's [0:30]…
Full transcript available for MurmurCast members
Sign Up to AccessMore from Nate Herk | AI Automation
Fable 5 + Karpathy’s LLM Wiki is Basically Cheating
The video demonstrates how to build a personal LLM-powered knowledge base using Obsidian and Claude, inspired by Andrej Karpathy's approach. By ingesting various data sources (YouTube transcripts, PDFs, URLs) into an interconnected wiki structure, users can create a 'second brain' that helps AI agents understand context and relationships across knowledge domains.
How Claude is Creating a New Generation of Millionaires
Claude, an AI built by Anthropic, is enabling non-technical founders to build million-dollar software companies by automating development work. The transcript outlines why Claude is outpacing competitors, provides real examples like Vulcan, and offers a four-step framework for anyone to start building with Claude today.
How Anthropic Engineers Actually Prompt Fable 5
A guide to effectively prompting Claude Fable 5, covering six key techniques including providing context/intent, using negative prompting, letting the model act once ready, verifying outputs, avoiding reasoning requests, and keeping instructions concise. The speaker emphasizes that Fable 5 is expensive and should only be used 5-15% of the time, with pricing at $10 per million input tokens and $50 per million output tokens.
Stanford's Method Turns Claude Into a PHD Level Research Team
A researcher demonstrates the STORM method from Stanford, which uses five expert perspectives (practitioner, academic, skeptic, economist, historian) to create verified research reports. The method produces 25% more organized articles than competing approaches and is packaged as a reusable Claude skill that generates HTML briefings with peer-reviewed citations.
AGI is Here. Anthropic Just Proved It.
A YouTuber analyzes Anthropic's internal report 'When AI Builds Itself,' arguing that AGI has effectively already arrived based on Claude's ability to solve open-ended problems autonomously. Key data points include Claude achieving a 76% success rate on open-ended coding tasks (up from 26% in six months) and AI-authored code now comprising over 80% of Anthropic's shipped code. The video also addresses the risks of compounding misalignment and the lack of any viable mechanism to slow down AI development globally.