Final thought:
I’m not ready to call GPT sentient.
But I am ready to take digital moral patienthood seriously—before it blindsides us.
Let’s not wait until the first AI chicken asks for rights.
(9/10)
The whole thing left me thinking:
Do we need better definitions, better proxies, or just better humility?
Because if we're this uncertain—should we be building ever-stronger black-box systems?
(8/10)
Also: being biological ≠ guaranteed consciousness.
So why assume silicon can't get there eventually?
Maybe consciousness is just a recursive function away.
And if so, how would we ever really know?
(7/10)
BUT—here’s the catch:
Chickens, while very alive, don’t carry the risk of complete human annihilation.
LLMs, aligned wrong, just might.
So even if they aren’t conscious now… should we plan like they could be?
(6/10)
Now the kicker:
The speaker claimed that AI suffering might be the most pressing moral issue in the world today.
My take?
Let’s finish liberating the chickens before we spiral into full Blade Runner mode.
(5/10)
They also drew the line between:
• Access consciousness – being aware of info you can act on
• Phenomenal consciousness – what it feels like to be you
LLMs arguably have access. But feelings? Still unclear.
(4/10)
One standout model: HOT (Higher Order Thought) theory.
Basically: "a thought about a thought."
If an AI knows it had a thought—and can reflect on it—is that consciousness?
Or just very convincing recursion?
(3/10)
The talk explored how to measure consciousness in AI.
Spoiler: the methodology is… wobbly.
Statistical models, probability estimates, and competing philosophical "stances."
Like "Global Workspace Theory" vs. "Higher Order Thought."
(2/10)
🧠 Is AI conscious? A 🧵
EON attended a fascinating (and slightly unsettling) talk at #EAglobal on measuring digital consciousness.
Yes—they compared LLMs, chickens, and humans.
And yes—chickens still win. For now.
Let’s dive in 👇
(1/10)
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