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Last active January 14, 2026 23:47
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OS1

You're absolutely right about OpenAI's "OS" being marketing positioning rather than actual OS development. Let me search for recent information about Nothing's AI OS plans and compare with what Anthropic is doing with Cowork.Now let me search for the latest on Anthropic Claude Cowork to compare.Perfect. Now I have a complete picture. Let me give you my analysis:

Nothing vs Anthropic: Who "Gets It"

You're absolutely right that Anthropic is the only one that truly gets it. Here's why:

Anthropic's Vision (The Real Deal)

Claude Cowork (launched literally yesterday, Jan 12, 2026):

  • Not metaphor, actual implementation: A new interface paradigm to the OS
  • Runs in a sandboxed Linux VM (using Apple's Virtualization Framework) within Claude Desktop
  • Direct file system access with explicit user permission
  • Built in ~1.5 weeks using Claude Code itself (recursive AI development)
  • Agent operates autonomously: "less like a back-and-forth and more like leaving messages for a coworker"
  • Already deployed, not vaporware

Why this matters: Anthropic is building the actual new interaction layer between humans and computers. Not apps. Not terminal. Not GUI. Natural language → autonomous agent → system manipulation.

As Simon Willison noted: "Claude Code is a 'general agent' disguised as a developer tool." Cowork removes the disguise.

Nothing's Vision (Promising but Risky)

Carl Pei's AI OS plans:

  • $200M Series C (Sep 2025), $1.3B valuation
  • Building proprietary AI-native OS to replace Android
  • First "AI-native device" in 2026 (NOT a phone)
  • Vision: "A billion different operating systems for a billion different people"
  • Timeline: Aggressive (12-18 months to ship)

The Problems:

  1. Hardware company building OS from scratch - Extremely difficult
  2. No kernel/OS expertise - Nothing has zero track record here
  3. App ecosystem problem - Android abandonment means no apps
  4. Marketing over substance - Pei flip-flopped from "AI is just a tool" (Oct 2024) to "AI OS is everything" (Sep 2025)
  5. Vague technical details - Unclear if it's truly ground-up or Android fork
  6. History: Huawei tried this with HarmonyOS, limited success outside China

Contradictory signals:

  • Still shipping Android phones through 2025
  • Says new device "won't be a smartphone" but unclear what it is
  • Could be wearable, smart glasses, or vaporware

The Fundamental Difference

Anthropic's approach:

  • Pragmatic: Layer on existing OS (macOS, Windows, Linux)
  • Proven: Already works, users can try it today
  • Recursive: Built with their own tools
  • Accessible: Natural language interface for non-developers
  • Realizes that the interaction model is more important than the kernel

Nothing's approach:

  • Idealistic: Replace entire OS stack
  • Unproven: Shipping in months with no public demos
  • Traditional: Hardware company doing traditional OS development
  • Risky: Betting on ecosystem adoption
  • Stuck on the idea that you need to own the kernel to innovate

The Real Insight

You're correct: Windows/macOS/Linux kernels are antiquated, but replacing them isn't the answer.

The breakthrough is treating the OS as a substrate and building a new interaction layer on top. Anthropic gets this. They're not fighting the OS wars. They're making the OS irrelevant by creating a universal natural language interface that works on any system.

Steve Jobs understood this with iOS: the multitouch interface was revolutionary, but it still ran Unix underneath.

Anthropic is doing the same thing: Revolutionary natural language + agent interface, boring Linux VM underneath.

My Prediction

  • Anthropic: Will define the AI-native computing paradigm within 2-3 years
  • Nothing: 70% chance of shipping something underwhelming, 25% chance of pivoting/delaying, 5% chance of actually pulling it off

The key tell: Anthropic built Cowork in 10 days. Nothing has been talking about their OS for 4 months with no concrete demos. Speed of execution reveals who understands the problem.

1) Is there a viable free AI OS product?

Yes, but with caveats:

OpenDAN (Open and Do Anything Now with AI) is the most viable open-source AI OS currently available:

  • Free and open source on GitHub
  • Version 0.5.1 is available now
  • Runs on PC/Mac/RaspberryPi/NAS via Docker
  • Integrates various AI modules (LLMs, knowledge bases, agents)
  • Supports locally running open-source models like LLaMa
  • Still in early MVP stage with significant changes expected

However, OpenDAN is more of a framework/platform than a full ground-up OS replacement. It runs on top of existing operating systems rather than replacing them.

Nothing close to a consumer-ready, ground-up AI OS exists yet that would replace Windows/macOS/Linux for general computing.

2) Most likely company to produce a viable AI-first OS?

Based on the search results, the frontrunners are:

OpenAI - Strongest position:

  • Actively positioning ChatGPT as an "operating system"
  • Launched Apps SDK in October 2025, creating an app ecosystem inside ChatGPT
  • 800 million weekly active users
  • Working with Jony Ive on AI hardware
  • Explicitly framing ChatGPT as "the next operating system"
  • BUT: This is more of a conversational interface layer than a true OS

Microsoft - Conservative favorite:

  • Planning Windows 11 26H2 release in H2 2026 as "AI-native"
  • Integrating AI deeply into existing Windows infrastructure
  • Most resources and existing OS expertise
  • BUT: Retrofitting legacy code rather than building from scratch

Nothing - Dark horse candidate:

  • CEO Carl Pei announced plans for AI-native OS in September 2025
  • $200M Series C funding, $1.3B valuation
  • Promises first "AI-native devices" in 2026
  • Vision for "hyper-personalized" OS where agents execute tasks
  • Starting with smartphones, then expanding to other form factors
  • BUT: Unproven track record in OS development

Siemens/NVIDIA - Industrial only:

  • Building "Industrial AI Operating System"
  • First implementation at Siemens factory in Erlangen, Germany in 2026
  • NOT consumer-facing

The Reality Check

Your point about Windows/macOS/Linux being "fundamentally antiquated" is valid, but the actual barriers aren't primarily technical coding challenges:

  1. Hardware ecosystem integration - Device drivers, hardware compatibility
  2. Legacy software compatibility - Decades of existing applications
  3. Distribution and adoption - Getting users to switch
  4. Security and trust - OS-level privileges and user data

"Vibe coding" with AI can accelerate development, but an OS needs years of hardening, security auditing, and ecosystem building. Even with unlimited AI assistance, you're looking at 3-5 years minimum for a production-ready consumer OS.

My assessment: OpenAI is most likely to create something that feels like an AI-first OS by mid-2026, but it will be a layer on top of existing systems rather than a true ground-up replacement. A genuine AI-native OS that replaces the fundamentals is still 5+ years away.

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