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Tasteful Skills
“Tasteful Skills” argues that the best agent skills are not documentation or best-practice lists.
Anthropic’s leaked “Claude Mythos” post framed the model as a major new tier above Opus — the draft said Mythos is “larger, more intelligent” than Claude Opus 4.6 and scores dramatically higher on coding, academic reasoning, and cybersecurity tasks.
The real alarm bell is cybersecurity, not a consumer launch — Anthropic’s own language says Mythos is “far ahead of any other AI model in cyber capabilities,” and the initial rollout is limited to early-access defenders so they can harden systems before stronger offensive models spread.
This wasn’t just one rogue blog post — more than 3,000 internal CMS items were briefly exposed — Fortune’s D. Nolan and researcher Roy Paw both found the leak, which Anthropic blamed on human error before quickly pulling it offline.
Markets reacted like the economics of hacking may be changing fast — Wes points to CrowdStrike down 7% and Palo Alto Networks down 6%, reading the move as a bet that AI could drive attack costs toward zero while defense remains expensive.
There’s still a huge amount we don’t know despite the hype — no benchmarks, pricing, release date, context window, or reasoning-mode details were included, and even the “Capybara/Cappy Bar” naming suggests internal code names or checkpoints are still unclear.
Wes thinks the deliberate-leak theory is possible but not especially convincing — his reasoning is that if Anthropic wanted pure publicity, leaking a single Mythos post would make more sense than accidentally exposing thousands of internal files and event materials.
Wes opens in full whiplash mode: he was literally rearranging his recording studio, expecting a quiet news cycle, when Anthropic’s new model seemingly leaked and turned the day upside down. The mood is half disbelief, half “of course this happened while my headphones are missing.”
The leak came from Anthropic’s content management system, where Fortune reporter D. Nolan noticed uploaded posts had become publicly viewable. Researcher Roy Paw independently found it too, and before it was locked down, people had access to more than 3,000 items including PDFs, blog posts, images, and internal event materials — exactly the kind of internet mistake that never really disappears.
The leaked post described “Claude Mythos” as a research preview and Anthropic’s most powerful model ever, a brand-new tier above Haiku, Sonnet, and Opus. Anthropic says it’s dramatically better than Claude Opus 4.6 across software coding, academic reasoning, and cybersecurity, but also says it’s expensive enough that a broad release doesn’t sound imminent.
Wes emphasizes that this wasn’t normal launch-copy hype; it sounded more like Anthropic telling everyone to “strap in.” The company says it wants to move slowly, start with a small number of early-access customers, and specifically study the model’s near-term cyber risks before any wider rollout.
The most intense part of the post is Anthropic claiming Mythos is already “far ahead of any other AI model in cyber capabilities.” Wes ties that to earlier examples, including reporting that a Chinese state-linked group used older Claude models in attacks on roughly 30 organizations, and sums up Anthropic’s strategy with a memorable line: give defenders the shield before the sword gets released.
Wes notes that cybersecurity names got hit fast after the story broke, with CrowdStrike down 7% and Palo Alto Networks down 6%, while the Nasdaq was already weak. His framing is simple and pretty stark: if AI drives the cost of attacking toward zero while defense stays expensive, that’s a nasty equation for the whole sector.
He walks through the conspiracy version too: Anthropic is a security-conscious company, the timing landed right before a CEO event, and “too dangerous to release” has become a familiar AI-lab marketing trope. But he doesn’t fully buy it, mainly because exposing a single Mythos post would be one thing — exposing 3,000 assorted internal assets is the kind of collateral embarrassment that makes the accidental-CMS-error story feel more plausible.
For all the drama, the core facts are still thin: no benchmark numbers, no price, no context window, no timeline, and no clarity on whether “Capybara” was an internal codename or something else. Wes zooms out and places Mythos next to OpenAI’s “Spud,” plus looming IPO ambitions at Anthropic and OpenAI, and lands on the broader point: spring 2026 could become one of the biggest AI release windows yet.
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