Daily Digest — March 30, 2026

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🔮 Anthropic’s “Claude Mythos” Leaked — Most Powerful Model Yet

A data leak from an unsecured Anthropic content management system revealed details of “Claude Mythos” (internally codenamed “Capybara”), a new model tier larger and more capable than Opus. Anthropic confirmed the model represents “a step change” in AI performance and is already being trialed by early-access customers. The leaked draft blog post described it as “by far the most powerful AI model we’ve ever developed” with dramatically higher scores on coding, reasoning, and cybersecurity benchmarks — but also flagged unprecedented cybersecurity risks.

The leak itself was ironic: close to 3,000 unpublished assets were left in a publicly searchable data store due to a “human error” in CMS configuration. Fortune and security researchers discovered the cache before Anthropic locked it down.

Source: Fortune

📈 Claude Paid Subscribers Doubled in 2026

Analysis of billions of anonymized credit card transactions shows Claude gaining paid subscribers in record numbers, with Anthropic confirming subscriptions have more than doubled this year. The surge traces to several converging factors: Super Bowl ads mocking ChatGPT’s decision to show ads, the high-profile DoD feud over lethal autonomous operations, Claude Code’s surging popularity, and the Computer Use launch.

The majority of new subscribers are Pro tier ($20/month). Consumer awareness of Claude has reached an inflection point, though enterprise revenue remains Anthropic’s bread and butter.

Source: TechCrunch

🖥️ Claude Computer Use Agent Goes Live

Anthropic launched Computer Use in research preview for Pro and Max subscribers on macOS. Claude can now open apps, navigate browsers, fill spreadsheets, and complete multi-step tasks autonomously on your computer. Users can assign tasks from their phone via Dispatch, and Claude handles the rest.

This marks a significant step toward true desktop AI agents — though Anthropic cautions the feature is “still early compared to Claude’s ability to code or interact with text.”

Source: CNBC

🤖 NVIDIA Announces NemoClaw — Enterprise OpenClaw

NVIDIA unveiled NemoClaw, an enterprise-grade version of OpenClaw for deploying AI agents at scale. This follows the Nemotron 3 Super release (120B params, 12B active) and expanded open model families. Meanwhile, OpenAI hired OpenClaw creator Peter Steinberger, signaling both companies see personal AI agents as a key battleground.

Source: CNBC

🚀 Landspace Zhuque-2E Launch Tonight

Chinese company Landspace is launching its 216-foot (66-meter) stainless steel Zhuque-2E rocket from Jiuquan tonight at 8 PM EDT. It’s China’s most ambitious reusable rocket effort — methane-powered, stainless steel construction (like Starship), designed for constellation deployment at scale.

Source: Space.com

🚨 AI Facial Recognition Wrongful Arrest

Police used AI facial recognition to arrest a Tennessee woman for crimes committed in a state she says she’s never visited. The case adds to a growing list of wrongful arrests from facial recognition misidentification, raising urgent questions about AI deployment in law enforcement.

Source: Innovation in the News

🏗️ Hyperscale Data Expands Michigan AI Campus

Hyperscale Data entered an agreement to acquire 48.5 acres adjacent to its Michigan AI data center campus, continuing the Midwest AI infrastructure boom alongside OpenAI’s Stargate Michigan site.

Source: StockTitan

📡 Research Radar

Challenge-Response Authentication for LEO Satellite Channels

arXiv 2603.25576

Proposes an active challenge-response authentication framework for LEO satellites that uses randomly timed challenges and orbital dynamics as a physics-based root of trust. Unlike passive methods with fixed measurement windows, this approach transforms satellite authentication into a spatiotemporal consistency verification problem constrained by orbital mechanics.

🔗 Paper

A Wireless World Model for AI-Native 6G Networks

arXiv 2603.25216

Foundation model approach for 6G networks that uses uplink channel observations to infer unmeasured frequency resources, reducing SRS measurement overhead while maintaining channel awareness for precoding and scheduling decisions.

🔗 Paper

🎓 MIT/Harvard Events This Week

  • Apr 1 — Fireside Chat with Cloudflare CEO Matthew Prince @ MIT Building 3, Room 270 | RSVP
  • Apr 1 — Agents & APIs Boston Developer Meetup @ Two International Place | RSVP
  • Apr 3-4 — HBS-MIT Sloan Technology & National Security Conference @ HBS/MIT | Tickets
  • Apr 8 — MIT Decentralized AI Summit + Startup Showcase @ MIT Media Lab | Info
  • Apr 11-12 — Wix Foundry Boston | 2-day startup workshop | Apply