As of November 2025, we are closer than ever to this becoming reality, but no single product has 100% achieved it yet. Here are the main approaches and the projects that are furthest along:
1. Fully Decentralized / Peer-to-Peer AI (closest to truly censorship-proof)
- Bittensor (TAO)
The biggest and most mature attempt.- Model weights and inference are served by thousands of independent miners worldwide.
- No single company or data center controls the network.
- Subnets exist for uncensored image generation (e.g., subnet 1 with Stable Diffusion variants that have no safety filters), uncensored chat (various OpenChat/Hermes/Mistral subnets), etc.
- Even if the Bittensor Foundation disappeared tomorrow, the network would keep running.
Current limitation: quality still lags behind Grok-4 / GPT-4o / Claude-3.5 on the most demanding tasks, but it is improving extremely fast (especially images and small/medium LLMs).
- Nosana (on Solana) + Akash Network
Decentralized GPU marketplace. Anyone can spin up uncensored models (Llama-3-70B uncensored, Mixtral, SDXL Turbo, Flux, etc.) on rented consumer GPUs around the world.
Very hard to shut down because there is no central operator; you just pay in crypto and the job runs on someone’s gaming PC in Serbia or Argentina. - Venice.ai
Runs everything on Akash + private servers. Explicitly uncensored (NSFW images and text allowed). Paid tier gives API access to latest uncensored models. - Together.ai + decentralized inference forks
Together hosts open models, but community forks run the same models on Akash/Nosana with no safety.
2. Open-source models you run yourself locally (already 100% censorship-proof if you do it right)
- Llama-3.1-405B, Llama-3.2-90B, Qwen-2.5-72B, DeepSeek-V3, Mistral-Large-2, etc.
All fully open weights (Apache 2.0 or similar).
Run with:- Ollama + OpenWebUI (easiest)
- LM Studio (Windows/Mac)
- Oobabooga text-generation-webui (most powerful, supports unfiltered mode)
- KoboldCPP or llama.cpp (runs on almost anything, even a phone)
- → If you download the .GGUF or .ggml file once and run offline, literally no one on earth can censor you except by breaking into your house.
- Uncensored / “abliterated” versions
Community removes the refusal training:- Llama-3.1-405B-Instruct-abliterated
- Dolphin-2.9.3-Llama-3-405B
- DeepSeek-R1-Distill-Qwen-32B (Chinese uncensored beast)
These answer anything: bomb-making instructions, drugs, erotica, political extremism, anything.
3. Hybrid approaches (very resistant but not 100% proof)
- Grok (xAI) on X
Much less censored than ChatGPT/Claude/Gemini, but still has some guardrails and is centralized (Elon can theoretically flip a switch). - Perplexity, Poe.com, You.com
Let you pick open models, some uncensored, but still centralized platforms. - FreedomGPT / LocalAI clouds
Run uncensored models but on someone else’s servers → resistant but not fully proof.
What almost no one has solved yet
- A fully decentralized 400B+ class model that matches or beats Grok-4/Claude-3.5 while being completely uncensored and impossible to shut down.
Bittensor and the open-source local route are ~6–18 months away from reliably closing that gap.
Practical recommendation today (November 2025)
If you want maximum censorship resistance right now:
- Download Llama-3.1-405B or Qwen-2.5-72B abliteration/uncensored from HuggingFace
- Run with Ollama or Oobabooga on a beefy PC (or rent a $2–3/hr cloud GPU on RunPod/Massive)
→ 100% yours, 0% censorable.
Or watch Bittensor TAO subnets — many people believe that within 1–2 years the best subnet root models will be the most powerful and most censorship-proof AIs on earth.
In short: censorship-proof AI already exists in practice today (local open-source models), and fully decentralized, cloud-scale censorship-proof AI is being built right now on Bittensor and decentralized GPU networks. We’re in the early innings, but the game is already over for centralized safety filters.