AI Intel: Anthropic Confirms Mythos Is Real, Claude Code Users Hit the Wall, Google Slashes Video Costs

Anthropic has officially confirmed that Claude Mythos exists. After a data leak exposed nearly 3,000 internal files last week, the company stopped denying and started spinning — calling Mythos "a step change" in AI performance and "the most capable model we've built to date." Meanwhile, Claude Code users are hitting aggressive quota walls, Google just made AI video generation 50% cheaper, and there are whispers that GPT-5.5 pretraining is done.

Anthropic Confirms Claude Mythos — And It's Bigger Than Opus

The story started with a misconfigured data store. A security researcher found that Anthropic had left nearly 3,000 internal files — draft blog posts, PDFs, internal memos — publicly accessible without authentication. By the time Anthropic locked it down, the documents had already spread across security forums and social media.

Here's what Anthropic has now confirmed: the model is real, it's called Claude Mythos, the internal codename is "Capybara," training is complete, and early access trials are underway with select partners. That's a lot of confirmation for a company that usually says nothing until launch day.

What the leaked documents claim is more interesting. Mythos doesn't sit alongside Opus — it sits above it. This isn't Claude 5 or Opus 4.7. It's a new capability tier entirely. Internal materials describe it as "larger and more intelligent than the Opus models," which positions it as the first model to break out of Anthropic's existing naming hierarchy.

The cybersecurity angle is what's making headlines outside the AI bubble. Leaked internal assessments describe Mythos as "currently far ahead of any other AI model in cyber capabilities" — able to discover and exploit software vulnerabilities faster than human defenders can patch them. Anthropic's own draft blog warned that the model "presages an upcoming wave of models that can exploit vulnerabilities in ways that far outpace the efforts of defenders." When a company warns about its own product in internal documents, that's worth paying attention to.

The most explosive claim: Anthropic reportedly detected a coordinated campaign by a state-sponsored threat group using Claude Code to infiltrate approximately 30 organizations — tech companies, financial institutions, and government agencies. Anthropic says they detected and shut it down. This incident apparently shaped the cautious rollout strategy for Mythos.

The market reacted. Cybersecurity stocks sold off. Bitcoin dipped to around $66,000. Japanese media ran national security segments. Whether the reaction was proportional is debatable, but the signal is clear: frontier AI capabilities are now a market-moving event.

No pricing, no benchmarks, no GA date. But if Mythos is real and as capable as described, expect it to reset the ceiling for what "frontier" means — and expect the API pricing to reflect that.

Claude Code's Quota Crisis Is Driving Users to Alternatives

While Anthropic is building the future, its present-day users are frustrated. Reddit threads about Claude Code's usage limits have been consistently hitting the front page of r/ClaudeAI and r/LocalLLaMA for weeks now, and the complaints are getting louder.

The pattern is familiar: developers start a coding session, hit their stride, and then get throttled mid-task. The rate limiting appears to be especially aggressive during peak hours (US business hours), which tracks with what we learned from the Claude Code source leak — the codebase includes a "fast mode" pricing tier at $30/M input tokens versus $5 normal, a 6x markup for priority inference. Anthropic is clearly capacity-constrained and monetizing the queue.

For Pro subscribers paying $20/month, the value proposition is getting harder to justify when you're hitting walls every few hours. Power users report burning through their allocation in 2-3 hours of active coding. The frustration is real enough that "Claude Code alternatives" has become a trending search term in developer communities.

This is where the BYOK (Bring Your Own Key) approach starts making sense. Instead of relying on Anthropic's subscription quotas, developers can route Claude Code through their own API key — paying per-token but without the arbitrary caps. Services like KissAPI let you point Claude Code at an OpenAI-compatible endpoint that routes to Claude's API, giving you the same model without the subscription throttling. You pay for what you use, and you don't get cut off mid-refactor.

The irony: Anthropic's quota limits might be the best marketing their API competitors have ever gotten.

Google Launches Veo 3.1 Lite — Video Generation at Half the Cost

Google announced Veo 3.1 Lite on March 31, and it's a straightforward play: the same generation speed as Veo 3.1 Fast, but at less than 50% of the cost. Available now through the Gemini API and Google AI Studio.

The specs are practical rather than flashy. Text-to-video and image-to-video generation. Landscape (16:9) and portrait (9:16) ratios. 720p and 1080p resolution. Customizable duration at 4, 6, or 8 seconds, with pricing that scales accordingly.

Google also announced that Veo 3.1 Fast pricing will drop on April 7, making the entire Veo lineup cheaper across the board. The model family now has three tiers: Veo 3.1 (top quality), Veo 3.1 Fast (speed-optimized), and Veo 3.1 Lite (cost-optimized). It's the same tiering strategy Google uses for Gemini — give developers a quality/cost/speed dial to turn.

For developers building video-heavy applications — social media tools, marketing automation, content platforms — the 50% cost reduction changes the math on what's viable at scale. Video generation has been the most expensive modality in AI, and Google is clearly trying to make it accessible enough for production workloads, not just demos.

The timing matters too. OpenAI killed Sora last week. Google is filling the vacuum with aggressive pricing. If you're building anything that touches AI video, the Gemini API is now the default starting point.

GPT-5.5 Pretraining Reportedly Complete

Rumors circulating on Reddit and Chinese AI forums claim that GPT-5.5 pretraining has finished. The details are thin — no official confirmation from OpenAI, no leaked benchmarks, no timeline for post-training or release. Just whispers from people who claim to be close to the process.

If true, the timing makes sense. GPT-5.4 launched in February with incremental improvements over GPT-5. A .5 release would typically represent a more significant capability jump — potentially a new base model rather than a fine-tuning iteration. OpenAI has been under pressure to deliver something that justifies its $30/$180 per million token pricing, especially as Gemini 3.1 Pro scores higher on benchmarks at a fraction of the cost.

The question isn't whether GPT-5.5 is coming — it's whether it can close the price-performance gap that Google has opened. At current pricing, GPT-5.4 costs 15x more than Gemini 3.1 Pro per input token and scores 11 points lower on LM Council. OpenAI needs either a massive quality leap or a massive price cut. Ideally both.

Take this one with appropriate skepticism until OpenAI says something official. But the AI model release cycle has compressed to the point where "pretraining complete" to "API available" can be as short as 6-8 weeks.

Quick Hits

• Gemini 3.1 Pro continues its benchmark dominance — 94.1% on LM Council at $2/$12 per million tokens. For comparison, GPT-5.4 scores 83% at $30/$180. The price-performance gap is now a canyon, not a crack.
• Fortune reports that the Claude Code source leak (512K lines via npm) and the Mythos data leak happened within days of each other — two major security incidents in one week for Anthropic. Not a great look for a company that positions itself as the "safety-first" AI lab.
• The Claude Code leak GitHub repo crossed 1,100+ stars before any takedown. The source revealed 44 hidden feature flags, an autonomous daemon mode called KAIROS, and anti-distillation defenses that send fake tool definitions to prevent competitors from training on Claude's API traffic.