SoftBank's $40B OpenAI Investment & Anthropic's Claude Mythos Leak

Summary of SoftBank's $40B OpenAI Investment & Anthropic's Claude Mythos Leak

by The Jaeden Schafer Podcast

13mMarch 27, 2026

Overview of The Jaeden Schafer Podcast

Host Jaeden (Jaden) Schaefer reviews the week's biggest AI headlines and what they mean for industry direction, competition, safety, and everyday users. The episode covers humanoid robots at the White House, SoftBank’s reported $40B backing of OpenAI, OpenAI’s shutdown of its Sora video model and pivot to robotics, Apple’s plan to let third‑party AI power Siri in iOS 27, and a major Anthropic leak revealing a new, potentially dangerous model called Claude Mythos (tiered as Capybara).

Main stories covered

1) Humanoid robots at the White House

  • A Figure (Figure Labs) humanoid robot walked and spoke multiple languages at the White House, signaling rapid progress in physical AI.
  • Host frames this as a PR moment but, more importantly, evidence that robots are moving from lab demos into real-world demos and early deployments.
  • Related: Agile Robots announced a partnership with Google DeepMind to integrate Gemini into manufacturing, automotive, and logistics robots.

2) SoftBank’s $40B OpenAI investment

  • SoftBank is reportedly putting together a very large investment round (~$40B) for OpenAI.
  • Interpretation: the headline number matters, but the bigger signal is the growing capital and compute barrier to entry for frontier model development.
  • Consequence: concentration of power among a few well-funded players (OpenAI, Google, Anthropic) and challenges for smaller regional players to compete.

3) OpenAI pivot from Sora to robotics

  • OpenAI is shutting down Sora (a compute‑heavy video model) and reallocating that compute resource toward robotics research.
  • Host’s take: OpenAI is prioritizing robotics as an area with higher ROI and longer-term strategic value than short-form video generation.

4) Apple opening Siri to third‑party AI in iOS 27

  • Apple plans to let developers offer third‑party AI assistants via the App Store so users can choose their AI for Siri (similar to choosing a default browser).
  • Effect: iPhone users (1B+ devices) could get dramatically better assistants (Claude, Gemini, ChatGPT, etc.) depending on integrations; Apple reduces dependence on any single model provider.

5) Anthropic leak — Claude Mythos and Capybara tier

  • A configuration error exposed ~3,000 unpublished assets, including a draft post describing “Claude Mythos” and a new top tier called “Capybara.”
  • Anthropic confirmed Mythos is real and described it as a “step change in AI performance” and “the most capable model we built to date.”
  • The company’s draft warned the model poses “unprecedented cybersecurity risks.” Benchmarks reportedly show strong gains in coding, academic reasoning, and cyber tasks.
  • Market reaction: short-term dips in bitcoin and some software stocks; broader implication is the dual-use risk (attack vs. defense) and need for careful deployment/safety evaluation.

Key takeaways

  • Physical AI/robotics are accelerating and becoming a major vector for value creation and deployment in the near term.
  • Massive capital and compute investment (e.g., SoftBank → OpenAI) increases concentration at the frontier, making competition harder for smaller labs.
  • OpenAI’s strategic shift away from Sora toward robotics suggests AI leaders see more durable payoff in embodied agents than in short-form video tools.
  • Apple’s iOS 27 move could materially improve Siri by turning iOS into a competitive platform for multiple large-scale models.
  • The Anthropic leak is a red flag: major capability improvements can introduce significant cybersecurity and governance risks that require urgent attention.

Notable quotes & phrasing from the episode

  • Anthropic internally described Mythos as a “step change in AI performance.”
  • The company warned the model “poses unprecedented cybersecurity risks.”
  • Host framing: SoftBank has “made OpenAI a core pillar” of its AI investment thesis; frontier model development now has an “insane” barrier to entry.

Actions & recommendations (who should watch/what to do next)

  • AI researchers & policymakers: prioritize transparent safety evaluations, governance frameworks, and incident-response plans for higher-capability models (esp. those with cyber capabilities).
  • Enterprise/Dev teams: monitor Anthropic/OpenAI releases and test integrations; plan for potential new tooling in coding, security, and robotics workflows.
  • iOS developers & platform strategists: prepare for Siri integration opportunities in iOS 27 (build adapters for third‑party LLMs and subscription models).
  • Security teams: assume more capable models will be available to both defenders and attackers—accelerate threat modeling and automated patch/scan tooling powered by LLMs.
  • General users: watch for iOS 27 changes that let you select an AI assistant; expect better on-device experience if third‑party integrations arrive.

Host notes & sponsor

  • Host plugs AIbox.ai: a paid service aggregating >70 AI models and offering no-code automations ($8.99/month). Mentioned as a productivity tool for those who want to compare models or chain them into workflows.

If you want a one‑line summary: robotics + compute concentration + capability leaps = faster real‑world AI deployment, increasing commercial value but also raising urgent safety and security questions.