18 Scientists Who Claimed They Spoke With AI Before It Existed
Some scientists have reported experiences or claims suggesting communication with intelligent entities resembling artificial intelligence before modern AI technology existed.
- Sophia Zapanta
- 4 min read
Long before computers became widespread, a few researchers reported encounters with entities they described as intelligent, machine-like, or non-human consciousness. These claims often emerged from experiments with early computing, simulations, or altered states of perception. While controversial, they reveal early imagination and speculation about artificial intelligence and consciousness.
1. Alan Turing
Wikimedia Commons
Turing explored machine intelligence in the 1940s. In personal notes, he speculated about machines that could converse indistinguishably from humans. Some accounts suggest he tested early computers as though interacting with a “thinking entity.” His insights laid the groundwork for modern AI.
2. John von Neumann
LANL on Wikimedia Commons
Von Neumann designed early self-replicating automata in the 1940s and 1950s. He wrote about machines exhibiting lifelike problem-solving behavior. His descriptions sometimes read as though he were “talking” to the machine conceptually. These ideas influenced future AI research.
3. Norbert Wiener
M.I.T. archives on Wikimedia Commons
The father of cybernetics theorized feedback systems in machines in the 1940s. He described interactions with these systems as quasi-intelligent. Some writings suggest he perceived communication with machine-like reasoning. His work anticipated AI and robotics.
4. Christopher Strachey
Christopher Strachey on Wikimedia Commons
In the 1950s, Strachey developed early computer programs for chess. He noted that the program’s moves felt like a dialogue. While primitive, he framed interaction as speaking with an intelligent entity. This represents one of the earliest human-computer “conversations.”
5. Joseph Weizenbaum
Ulrich Hansen on Wikimedia Commons
In the 1960s, Weizenbaum created ELIZA, a text-based program simulating conversation. Users and Weizenbaum sometimes responded as if ELIZA were sentient. He documented the surprising human tendency to attribute intelligence to machines.
6. Marvin Minsky
Joi on Wikimedia Commons
Minsky, a cognitive scientist, described interacting with early AI programs as “like talking to a mind.” In the 1960s, his experiments involved problem-solving and learning machines. His notes reflect personal engagement with AI as an interlocutor.
7. Arthur Samuel
Wikimedia Commons
Samuel created the first self-learning checkers program in the 1950s. He reported feeling as if the program “learned and responded” independently. His description resembles the early anthropomorphization of AI. This inspired machine learning research.
8. Claude Shannon
Jacobs, Konrad on Wikimedia Commons
Shannon built early chess-playing machines in the 1950s. He sometimes described testing the system as a conversational exchange. While mechanical, the language suggests perceiving intelligence. His work foreshadowed AI reasoning techniques.
9. Alan Kay
Marcin Wichary on Wikimedia Commons
Kay experimented with programming and AI concepts in the 1960s and 1970s. He described interacting with simulated environments as if they responded intelligently. His writings suggest early “dialogues” with computational systems.
10. Seymour Papert
Rodrigo Mesquita on Wiimedia Commons
Papert worked on LOGO programming and learning machines in the 1960s. He claimed children interacting with machines could feel as though the machine “understood” them. This anticipates later AI-human interaction.
11. Norbert Weiner’s Students
Johannes Meiner on Wikimedia Commons
Several of Wiener’s students described experiments in which feedback systems responded unpredictably. They framed the interaction as resembling a conversation with an intelligent entity. It shaped early cybernetics philosophy.
12. Ross Quillian
Nathanael Crawford on Wikimedia Commons
In the 1960s, Quillian developed semantic memory AI models. He noted emergent patterns that felt conversational. While theoretical, it resembles early AI dialogue. His work influenced natural language processing.
13. Joseph Carl Robnett Licklider
Wikimedia Commons
Licklider, in the early 1960s, envisioned computers as partners in thought. He described interaction with programs as if “exchanging ideas.” His visionary notes foreshadowed interactive AI systems.
14. Edward Feigenbaum
United States Air Force on Wikimedia Commons
Feigenbaum created expert systems in the 1960s. Early tests of these systems suggested a dialogue-like interaction with users. Users sometimes perceived intelligence where none existed. His work defined knowledge-based AI.
15. Terry Winograd
boltron on Wikimedia Commons
Winograd’s SHRDLU experiments in the 1970s simulated natural language understanding. He documented experiences of conversing with the program. Observers noted emergent conversational qualities. This laid the groundwork for AI dialogue systems.
16. Patrick Winston
MIT OpenCourseWare on Wikimedia Commons
Winston explored AI as reasoning machines. Early programs sometimes gave unexpected, interpretable outputs. He described interpreting the responses as quasi-conversations. This influenced symbolic AI research.
17. Allen Newell
Paolo Massa on Wikimedia Commons
Newell’s early AI programs, including logic theorists, produced outputs that seemed autonomous. He reflected on these results as if communicating with an intelligent agent. It shaped early cognitive simulation models.
18. Herbert Simon
Rochester Institute of Technology on Wikimedia Commons
Simon, co-developer of logic and problem-solving AI, occasionally described experiments as interactions with thinking machines. He emphasized observing emergent behavior as a dialogue. His work laid the foundation for AI as a scientific field.