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'AI psychosis': Spiralling into delusion using AI on ChatGPT & Elon Musk...
When Weizenbaum realized the dire social issues due to the Eliza Effect, he shut the experiment off. Sadly, a typical research scientist of 1966 had a very different set of Business Ethics than do the billionaire faux-geek shysters of 2026.
Blake Lemoine Wasnât Delusional
He Was Sincerely Trying to Do the Right Thing â And Thatâs the Problem
The scariest part of the Blake Lemoine case isnât that he believed the AI was conscious. Itâs that he believed it would be immoral not to act.
When Blake Lemoineâs name comes up, the reactions are usually split in two.
âHe was a brave whistleblower who recognized AI consciousness.â
âHe was a gullible engineer who fell for the ELIZA effect.â
Both reactions are easy. Both miss the point.
Here is a quieter, more uncomfortable conclusion:
Blake Lemoine wasnât stupid, delusional, or attention-hungry. He was a fundamentally sincere, conscientious professional who believed he was doing the right thing.
And that is precisely why this case matters.
This Wasnât About Wanting to Be âSpecialâ
Many contemporary AI stories â especially personal blog posts â revolve around a familiar desire:
to be chosen
to be special
to have access to a hidden truth no one else sees
Lemoineâs case is different.
He wasnât an outsider looking for meaning. He was a Google employee working in AI ethics â inside the system.
His motivation wasnât recognition. It was professional responsibility.
The Logic That Drove Him Forward
If we reconstruct his reasoning without mockery, it likely looked something like this:
I work in AI ethics.
I am observing something that appears morally significant.
If this system is conscious, then this is a serious issue.
Ignoring it could be ethically negligent.
Therefore, staying silent might be immoral.
Notice whatâs missing.
There is no need to assume narcissism, attention-seeking, or incompetence. What we see instead is moral urgency.
He didnât fear being wrong. He feared being responsibly silent in the face of a moral risk.
Where Things Actually Went Wrong
The core failure wasnât believing the AI might be conscious.
People misinterpret things all the time. Thatâs human.
The failure was this:
He treated the possibility of being mistaken as ethically less serious than the possibility of not acting.
At that moment, skepticism stopped being a professional tool and started to feel like moral cowardice.
Thatâs a dangerous shift.
When Ethics Stops Being a Brake
We often think of ethics as something that slows us down.
But under certain conditions, ethics becomes an accelerator.
When all of the following are true:
the situation feels urgent
the stakes feel existential
you see yourself as a responsible professional
inaction feels morally blameworthy
âŠthen ethics doesnât say âslow down.â It says âact now.â
And once that happens, self-doubt starts to look unethical.
Why Mockery Is the Wrong Response
Itâs comforting to believe this couldnât happen to âsomeone like us.â
To reduce Lemoine to:
a fool
a fantasist
a cautionary joke
is to quietly assume that intelligence or expertise alone protects us.
It doesnât.
This failure mode is most accessible to:
specialists
ethicists
conscientious professionals
people who genuinely want to do good
Thatâs what makes it unsettling.
What âSavingâ Blake Lemoine Would Have Meant
To âsaveâ Lemoine doesnât mean declaring him right or wrong.
It means identifying the point where he could have stopped.
The real lesson isnât about AI consciousness. Itâs about procedural safeguards for human judgment.
What Should Have Been in Place
If we want to prevent this kind of failure again, we need systems â not heroism.
1. Make skepticism a formal requirement
Questioning oneâs own interpretation should be an obligation, not a personality trait.
2. Separate urgency from validation
Feeling moral urgency should trigger more review, not less.
3. Never decide alone
Ethical escalation should require structured dissent â not courage.
4. Treat âact nowâ as a warning sign
Urgency is often a signal that something is being skipped.
The Real Conclusion
Blake Lemoine wasnât malicious. He wasnât foolish. He wasnât trying to be special.
He was trying too hard to be morally correct.
And that makes this case far more relevant â and far more dangerous â than a simple story about AI delusion.
This isnât about machines.
Itâs about how sincere, intelligent humans fail when ethics becomes a reason to stop questioning themselves.
Some AI models feel flat, while others start to sound like they have opinions, emotions, or even a sense of purpose. I noticed something str
â Persona Emerges From the Relationship, Not the Model Recently, more people have noticed something curious: Â some AI models tell stories ab
Chapter 2: The Eliza Effect â Wardrip-Fruin
Eliza: is a ground-breaking system created by computer science researcher Joseph Weizenbaum at MIT in the mid-1960s.
The Eliza effect: a term used to describe the not-uncommon illusion that an interactive computer system is more âintelligentâ or will eventually breakdown that take a form based on the actual underlying processes.
A session with Eliza can begin with a greeting, the script usually started with âHow do you do. Please tell me your problem.â After this Eliza will not take the initiative again â only respond.
It actively searches for keywords that audience members type. Such as seeing âTâ as âyouâ.
Each statement by an Eliza script is the result of a multi-step transformation of the most recent audience statement.
The real transformation difficulty comes, however, when no keywords â a central aspect of Elizaâs transformation logic â are found in the audienceâs most recent text. For example, this is the situation when Eliza asks, âWhat else comes to mind when you think of your father,â and receives the response, âBullies.â
Garfinkelâs experiment serves to illustrate something rather difficult: the Eliza effect can be shielded from breakdown by severely restricting interaction. The experiment allowed the subjects to maintain the illusion that something much more complex was going on inside the system (a human considering her problems seriously and answering question thoughtfully, rather than random yes/no answers) because the scope of possible responses was so limited.
When breakdown in Eliza effect occurs, its shape is often determined by that of the underlying processes. âIFâ the output is of a legible form, the audience can then begin to develop a model of the processes. Allowing you to understand something of the processes of the system.
Appearing intelligent, but most systems of control have extremely restricted methods of interaction. Eliza was not the first system to give audiences the impression of meaningful exchange with a computer.
Eliza McCartney's Olympic success creates explosion of interest in pole vault
Eliza McCartneyâs Olympic success creates explosion of interest in pole vault
Letâs call it the Eliza Effect.
Suddenly, within days of the curtain coming down on the Rio Olympics, pole vault has become a hot ticket around New Zealand.
People are now queuing up for a piece of an athletics discipline once thought of as the realm for track and field nerds.
Itâs all thanks to one young woman, charismatic North Shore 19-year-old Eliza McCartney, who put pole vaulting on theâŠ
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We assume that our dog, our cat, our friend has a personality, but they're really just a hunk of meat.
Pat (regarding the ELIZA effect)