Twelve AI models including ChatGPT 5.5, Claude Fable 5, and Grok 4.3 Expert estimated the probability that Satoshi Nakamoto's 1.1 million bitcoin will ever move. ChatGPT 5.5 assigned a 20% probability to the coins moving, while Gemini 3.1 Pro placed the likelihood under 5%. The models were asked to use a Bayesian framework to assess whether Bitcoin's creator will move the dormant fortune or whether Nakamoto's true identity will be definitively uncovered. The experiment expanded previous AI forecasting exercises that addressed bitcoin price predictions and other topics. Satoshi Nakamoto's wallet has remained inactive since 2010, contributing to one of the digital age's most enduring mysteries.
12 AI Models Apply Bayesian Framework to Satoshi Nakamoto Question
The AI model panel included Grok 4.3 Expert, ChatGPT 5.5, Claude Sonnet 5, Claude Fable 5, Gemini 3.1 Pro, Deepseek Deepthink, Kimi K2.6 Instant, Qwen 3.7-Plus, Manus Lite, Pi AI, Mistral AI Vibe, and Microsoft Copilot. Each model received the same prompt to ensure forecasts were generated under identical conditions. The prompt instructed models to use a Bayesian scenario tree, identify three most likely scenarios involving Satoshi Nakamoto, assign probabilities totaling 100%, and estimate the probability that Satoshi's bitcoin will ever move and that Satoshi's identity will ever be definitively revealed. Models were required to distinguish evidence-based assumptions from speculation in one sentence.
ChatGPT 5.5 Estimates 20% Probability of Coin Movement
ChatGPT 5.5 in high intelligence mode assigned scenario probabilities and estimated a 20% probability that Satoshi's bitcoin will ever move. The model also estimated a 15% probability of definitive identity revelation. Kimi K2.6 Instant and Mistral AI Vibe produced similar outlier estimates compared to other models. Microsoft Copilot estimated a 12% chance the early bitcoins ever move and an 8% chance the identity is ever definitively revealed, assigning 40% probability to Satoshi being one reclusive cryptographer, 35% to a small team, and 15% to being deceased.
Gemini 3.1 Pro and Deepseek Deepthink Assign Under 5% Movement Odds
Gemini 3.1 Pro weighted the probability of Satoshi's original bitcoin ever moving under 5% and the chance of a definitive identity reveal at roughly 10%. The model assigned 45% probability to a deceased early contributor, 30% to a cypherpunk collective, and 15% to a living anonymous solo inventor. Deepseek Deepthink estimated 5% probability for coin movement and 8% for identity revelation, assigning 45% probability to deceased scenario, 30% to alive permanently inactive, and 15% to alive awaiting trigger. Manus Lite estimated a 3% probability that Satoshi's bitcoin will ever move and a 12% chance of definitive identity revelation, assigning 45% to deceased lone creator, 30% to living individual committed to permanent anonymity, and 20% to multi-person collective.
Grok 4.3 Expert and Claude Models Produce Mid-Range Estimates
Grok 4.3 Expert mode estimated an 8% probability that Satoshi's bitcoin will ever move and a 14% probability of definitive identity revelation. The model assigned 42% probability to deceased creator with inaccessible keys, 33% to living individual committed to perpetual secrecy, and 15% to coordinated small team. Claude Sonnet 5 in medium intelligence mode and Claude Fable 5 in high intelligence mode produced responses that fell within the range of other models. Qwen 3.7-Plus estimated a 5% probability the bitcoin will move and a 15% chance the identity is revealed, assigning 50% to deceased scenario, 30% to hiding, and 10% to dissolved group. Pi AI provided estimates consistent with the broader model consensus.
AI Models Reach Consensus on Low Probability of Identity Revelation
A consensus emerged across nearly every AI model that Satoshi Nakamoto's bitcoin is unlikely to move and the creator's identity is even less likely to be conclusively established. The exact percentages differed from one model to the next, but years of wallet inactivity, the absence of cryptographic proof, and an extraordinary level of operational secrecy consistently pushed the forecasts toward similar conclusions. The probability estimates for coin movement ranged from 3% to 20%, while estimates for identity revelation ranged from 8% to 20%. ChatGPT 5.5, Kimi's K2.6, and Mistral's Vibe were identified as outliers with higher probability estimates. The models noted that prolonged inactivity of Genesis-era wallets serves as an evidence-based assumption, while specific probability values assigned to each scenario branch remain speculative.
What is the probability that Satoshi Nakamoto's bitcoin will ever move?
According to the 12 AI models surveyed, probability estimates ranged from 3% to 20%. Gemini 3.1 Pro and Deepseek Deepthink assigned under 5% probability, Manus Lite estimated 3%, Grok 4.3 Expert estimated 8%, Microsoft Copilot estimated 12%, and ChatGPT 5.5 estimated 20%. The models based their estimates on Satoshi's wallet remaining inactive since 2010, the absence of cryptographic proof of identity, and assigned probabilities to scenarios including deceased creator, living individual committed to anonymity, or coordinated team.
Why did AI models assign low probabilities to Satoshi's identity being revealed?
The AI models cited years of wallet inactivity, absence of verified claims, and extraordinary operational secrecy as evidence-based factors. Models assigned probabilities to scenarios such as deceased creator (ranging from 15% to 50% across models), living individual committed to permanent anonymity (15% to 33%), and coordinated small team (10% to 35%). The probability estimates for identity revelation ranged from 8% to 20%, with most models clustering in the 8-15% range. Models distinguished that wallet dormancy constitutes factual evidence, while motives and future actions remain pure speculation.
How did the AI models use Bayesian framework to forecast Satoshi outcomes?
Each AI model received a prompt instructing them to identify three most likely scenarios involving Satoshi Nakamoto, assign probabilities to each scenario plus an "other scenarios" category totaling 100%, and estimate probabilities for coin movement and identity revelation based on those weightings. Models assigned scenario probabilities such as deceased creator (15-50%), living anonymous individual (15-33%), coordinated team (10-35%), and other scenarios (5-10%). The models then weighted these scenarios to produce final probability estimates, distinguishing evidence-based assumptions from speculation in their responses.
