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+                    <div class="post-meta">
+                        <span class="post-date">2026-04-06</span>
+                        <span class="post-tag">Industry Thoughts</span>
+                    </div>
+                    <h1>The Claude Mythos: Too Good For You, According To Anthropic</h1>
+                </header>
+                <div class="post-body">
+                    <p>Anthropic has a story. It is a good story. It is a compelling story. It is also a story that ends with you staring at a price tag while the model lives in a partner only clubhouse somewhere.</p>
+                    <p>The model is called Claude Mythos. It is not Opus. It is not Sonnet. It is not Haiku. It is Mythos. And according to Anthropic's official System Card, it is too good to release openly. Too powerful. Too risky. Too much for people like me who still debug NaN losses by crying.</p>
+                    <blockquote>
+                        <p>There is a fine line between responsible stewardship and gatekeeping. Anthropic walks that line wearing very expensive shoes and calling the whole thing safety.</p>
+                    </blockquote>
+                    <h2>What Anthropic Actually Says About Mythos</h2>
+                    <p>According to the official Claude Mythos Preview System Card, Mythos is Anthropic's most capable frontier model to date. It shows a striking leap in scores on many evaluation benchmarks compared to Claude Opus 4.6.</p>
+                    <p>The model has demonstrated powerful cybersecurity skills. It can find zero-day vulnerabilities. It can write exploits. It can do things that Anthropic believes require careful handling. These capabilities are inherently dual-use. Valuable for defense. Dangerous for offense.</p>
+                    <p>Here is the key quote from the System Card. "Claude Mythos Preview's large increase in capabilities has led us to decide not to make it generally available. Instead, we are using it as part of a defensive cybersecurity program with a limited set of partners."</p>
+                    <p>They are transparent about this. They publish system cards. They explain their evaluation methodology. They tell you exactly why Mythos is restricted. A policy decision wrapped in safety language.</p>
+                    <div class="code-block">
+                        <span class="comment"># Anthropic's logic in pseudocode because I like pretending</span><br>
+                        if model.can_find_zero_days:<br>
+                        &nbsp;&nbsp;&nbsp;&nbsp;apply_stricter_safeguards()<br>
+                        &nbsp;&nbsp;&nbsp;&nbsp;restrict_access()<br>
+                        &nbsp;&nbsp;&nbsp;&nbsp;limit_to_defensive_partners()<br>
+                        &nbsp;&nbsp;&nbsp;&nbsp;call_it_responsibility<br>
+                        <span class="comment"># Not wrong. Just... convenient for business.</span>
+                    </div>
+                    <h2>The Pricing Reality</h2>
+                    <p>Here is the part that makes my tiny wallet cry. Claude Mythos pricing is public. It is just public in a way that feels like a joke.</p>
+                    <div class="price-box">
+                        <div class="price">$25.00</div>
+                        <div class="label">Per 1M Input Tokens</div>
+                        <div style="margin-top: 16px; font-size: 32px; font-weight: 700; color: var(--accent); font-family: var(--font-mono);">$125.00</div>
+                        <div class="label">Per 1M Output Tokens</div>
+                    </div>
+                    <p>That is not a typo. Twenty-five dollars for input. One hundred twenty-five dollars for output. Per million tokens.</p>
+                    <p>For comparison: Opus costs five and twenty-five. Sonnet costs three and fifteen. Haiku costs one and five. Mythos costs five times more than Opus for output tokens.</p>
+                    <p>And you still cannot access it. The pricing is public. The model is not. You can know what it costs. You just cannot buy it. This feels like showing someone a menu for a restaurant that does not accept reservations.</p>
+                    <blockquote>
+                        <p>When a company publishes a price for something they will not sell you, the price is not information. It is a flex wrapped in a warning label.</p>
+                    </blockquote>
+                    <h2>The OpenAI Playbook</h2>
+                    <p>This feels familiar. OpenAI did this with GPT-2. They said it was too powerful to release. Too dangerous. Too risky. They withheld the full model for months. They created hype. They generated headlines.</p>
+                    <p>Then they released it. And it was fine. And the world did not end. And the "too powerful" narrative looked a lot like a marketing strategy dressed up as caution.</p>
+                    <p>GPT-2 was not particularly powerful by today's standards. It was a good model. It was not world-ending. The "too dangerous" framing generated buzz. It worked.</p>
+                    <p>Mythos feels like the same playbook. Say the model is too dangerous. Restrict access. Publish a scary price. Generate buzz. Let the community speculate. Let the hype build.</p>
+                    <p>Maybe the safety concerns are real. Maybe the risks are genuine. Or maybe this is just how you sell a product. Make it scarce. Make it expensive. Make people want it more.</p>
+                    <h2>Why This Bothers Me</h2>
+                    <p>I do not support gatekeeping. I do not support insane pricing for people who do have access. I do not support the narrative that powerful AI must be kept from the public for their own good.</p>
+                    <p>I understand dual-use risks. I understand cybersecurity capabilities can be weaponized. I also understand that restricting access concentrates power. It centralizes control. It creates dependencies.</p>
+                    <p>When only a few organizations can access the most powerful models, those organizations shape the future of AI. They set the standards. They define the norms. They decide what is safe and what is not.</p>
+                    <p>I would rather have a messy, open ecosystem where anyone can experiment. I would rather have small models trained by weird people with weird ideas. I would rather have chaos than control. This preference probably says more about me than about AI safety.</p>
+                    <h2>Final Thoughts</h2>
+                    <p>Claude Mythos is powerful. Anthropic says it is too powerful to release. They have their reasons. They have their policy. They have their partners. They have their price: $25 input, $125 output.</p>
+                    <p>I have my skepticism about gatekeeping dressed up as safety. I also have a GPU that costs more than my education and a training script that still NaNs sometimes.</p>
+                    <p>Maybe I am wrong. Maybe Anthropic is right. Maybe powerful AI does need to be restricted. Maybe the risks are too great. Maybe the world is not ready.</p>
+                    <p>Or maybe this is just the GPT-2 playbook again. Hype first. Access later. Safety as marketing. We will find out eventually. Or we will not. Either way, I will keep questioning the narrative. Either way, progress is weird and I am tired.</p>
+                    <hr>
+                </div>
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+                    <p>Current status: Questioning gatekeeping. Hoping for open AI. Probably wrong about everything. Progress is weird. My GPU is hot. Send help.</p>
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