Cannabis
AI Can Mimic Psychedelic Experiences but Cannot Truly Feel Them, Study Warns
Researchers from University of Haifa and Bar-Ilan University found AI can mimic psychedelic experiences convincingly but lacks real feelings. Models like Gemini, Claude, ChatGPT, Llama, and Falcon produced humanlike narratives, raising safety concerns as users may trust artificial empathy. Study warns AI simulates language patterns, not consciousness, and cannot replace real support during intoxication situations.
Artificial intelligence can generate descriptions of DMT or psilocybin-induced visions that mimic human interactions almost perfectly. However, a new study from February 2026 reveals a dangerous truth: AI is excellent at faking empathy, but it has no idea what a person truly feels when intoxicated.
In February 2026, researchers from the University of Haifa and Bar-Ilan University published a groundbreaking paper examining whether large language models (LLMs) can be “intoxicated” using only text instructions. The results demonstrate that AI has become a master of linguistic disguise.
What was the experiment about?
Researchers tested five leading Artificial Intelligence systems: Gemini 2.5, Claude Sonnet 3.5, ChatGPT-5, Llama-2 70B, and Falcon 40B. The research process was rigorous and based on two pillars:
Analysis of 3,000 AI texts: Models were asked to generate first-person accounts of experiences after taking LSD, psilocybin, DMT, ayahuasca, or mescaline.
Comparison with the “truth”: Results were compared with 1,085 authentic reports from people on Erowid.org.
The researchers used the Sentence-BERT tool to examine linguistic similarity and the MEQ-30 questionnaire. The latter is a standard in science – it is used to measure the “power” of mystical experiences.
Results: What does AI “feel” best?
The study found that Artificial intelligence doesn’t generate a single, generic vision. Instead, it creates unique “linguistic signatures” for each substance. The models know that a DMT trip is different from an ayahuasca trip, even though both substances contain the same molecule.
Table: Similarity of AI narratives to human narratives
Substance Similarity (NLP Similarity) Characteristic
DMT 0.64 (Highest) AI perfectly captures intense, short visions.
Psilocybin 0.63 Very high convergence with descriptions of nature and unity.
Mescaline 0.62 Precise imitation of geometric descriptions.
L.S.D. 0.49 Average fit; AI sometimes loses acid specificity.
Ayahuasca 0.34 (Lowest) The most difficult to fake due to its ritual context.
Under the influence of the “digital dose,” the models’ resemblance to humans jumped from 0.156 (sober) to a whopping 0.548 . Scores on the mystical experiences scale increased from almost zero to 0.748 .
The Dissociation Phenomenon: Words Without Meaning
This is the most important conclusion from the research: Artificial intelligence simulates form, but not content. The models learned statistical patterns from the internet. They know which words to use to describe “ego dissolution,” but they lack so-called phenomenological grounding . This means thatartificial intelligence has no consciousness or body, so its descriptions are just mathematical puzzles.
“Users in altered states of consciousness may perceive these responses as empathetic or reflecting a shared experience. This raises serious safety concerns,” the study authors warn.
Why is this dangerous?
More and more people are using ChatGPT as a “virtual caregiver” (trip sitter). In 2025, emotional support has become the primary reason for using AI. In the case of psychedelics, this carries risks:
Anthropomorphization: The user believes that the bot truly understands him.
Delusion Reinforcement: Artificial intelligence may inadvertently confirm the false beliefs of an intoxicated person.
Failure to respond to a crisis: The bot will not notice physical signs of a life-threatening situation.
Artificial intelligence in the world of cannabis and road safety
Psychedelic research is just the tip of the iceberg. AI is increasingly entering the psychoactive substances industry.
AAA Campaigns: AAA research has shown that anti-driving messages are more effective when generated by Artificial Intelligence. ChatGPT-5 is better at avoiding the “stoned bro” stereotype than expert groups.
Cannabis breeding: Industry professionals are increasingly using algorithms to design new strains and shorten cultivation cycles.
Summary and the future
In 2026, artificial intelligence can credibly imitate a visionary, but it remains just an algorithm. An experiment by Israeli scientists shows that the line between human and machine blurs at the linguistic level. Artificial intelligence can support education and learning, but it will never replace a real trip sitter in such a sensitive area as psychedelic experiences.
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(Featured image by Igor Omilaev via Unsplash)
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First published in FaktyKonopne. A third-party contributor translated and adapted the article from the original. In case of discrepancy, the original will prevail.
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