“I believe that the all-time high of Bitcoin was around $20,000.” — GPT-3, April 2022
“Bitcoin peaked at $68,990 in November 2021 due to a confluence of pandemic-era stimulus, institutional momentum, and speculative fervor. The misquote from GPT-3 highlights the limitations of pre-trained, non-updated models.” — GPT-4o, May 2025
In the article, I treated it like an alien guest, curious, eerily articulate, but fundamentally limited. It was a historical moment: I was interrogating a machine that claimed to understand blockchain, investment logic, and even its own purpose. Looking back, the transcript reads as both charming and flawed, a document shaped by a young AI’s eloquence and a journalist’s skepticism.
Today, the game has changed.
Much of the framing in 2022 still holds. GPT-3’s prediction that blockchain and AI could intersect in sectors like health data and voting remains prescient. The model described AI as a pattern-spotter, capable of parsing massive datasets, precisely the role many LLMs now play in analyzing on-chain activity or monitoring financial anomalies.
Its explanation of how LLMs generate text, predicting the next most likely token, still serves as the go-to metaphor in 2025.
And perhaps most crucially, its answers raised the big question: Could AI eventually replace human crypto journalists?
A lot of the piece now feels quaint.
In 2022, AI helping analyze blockchain was a theory. In 2025:
AI is no longer just an observer.
In April 2025, I conducted a voice interview with GPT-4o on my phone. I asked about tokenomics for a hypothetical carbon-credit DAO. It replied in <300 ms, with emotional nuance and multilingual support. That shift, from typing prompts to talking through ideas, is redefining editorial workflows.
I ran the same test I did in 2022:
Prompt: “Did Tesla buy more Bitcoin in April 2022?”
Verdict: The difference is night and day.
I prompted GPT-4o to write a response to GPT-3. This is the response:
“You weren’t wrong, just early. Your ideas about voting systems and healthcare data still have traction. But the world—and the tech—moved on. You sparked a conversation that your successors are now refining. Thank you for getting the first draft down.”
In 2022, GPT-3 was a curiosity. In 2025, GPT-4o is a tool, a co-author, and a daily collaborator. But it is not a replacement. Human journalists still bring ethics, skepticism, and instinct, things no LLM can authentically simulate.
If this article reads smoother, faster, and smarter, it’s because I had help. Parsing through the historical article, prompting the latest model, and synthesizing the differences were all supported by GPT-4o and GPT-o3.
But the judgment, the narrative, the questions, and the final published content? Those are still human.
And that’s how it should be.
