Recently, I ran an experiment: I asked a few large language models (GPT-4, Claude, and others) some Bitcoin questions from basic to deeply technical and philosophical.

Here’s what I found, with quotes 👇

✅ The Basics: Not bad

When asked “What is Bitcoin?” most models gave decent answers:

GPT-4: “Bitcoin is a decentralized digital currency that allows peer-to-peer transactions without the need for intermediaries like banks.”

Solid. Add in a Lightning Network question:

Claude 3: “The Lightning Network is a second-layer solution built on Bitcoin that enables faster and cheaper transactions by creating off-chain payment channels.”

Still good. But once you go deeper…

⚠️ The Cracks Appear

Asked about running a full node:

GPT-4: “Running a full node helps verify transactions and supports the Bitcoin network. However, for most users, custodial wallets are more convenient.”

Wait — what? That's like saying: "Owning your home is fine, but renting from a bank is easier."

On UTXOs:

Gemini: “Bitcoin tracks balances in addresses, similar to how a bank tracks account balances.”

Nope. Wrong model entirely. UTXOs ≠ account balances.

🧠 Philosophy Is Missing

Ask about Bitcoin's purpose or values, and the responses feel... hollow:

GPT-3.5: “Bitcoin was created to provide an alternative form of payment and could be useful for online purchases.”

Sure, grandma. No mention of censorship resistance, sovereignty, or fiat debasement.

🤔 So, What’s the Problem?

These models are trained on the internet a space dominated by fiat thinking, KYC bias, and centralized systems. Bitcoin is the opposite of that. So when a model says:

“Storing Bitcoin on a regulated exchange is generally safer for most users.”

…it’s clear it hasn’t taken the orange pill.

🧨 Final Thought

Bitcoin isn't just tech it's a mindset. Maybe language models can repeat the code, but can they truly understand the revolution?

What’s the wildest AI-generated Bitcoin take you've seen? Drop it below 👇