Senior Staff Research Scientist @GoogleDeepMind | AI, Neuro & Philosophy | The map is not the territory. Papers/views reflect my own research & conclusions.
It has been a few days since I shared my preprint, "The Abstraction Fallacy," and I am really enjoying the rigorous discussions. Two specific critiques keep coming up, so I want to address them directly here. π§΅π
Thank you, Adam. Coming from a co-author of The Blind Spot, there is truly no higher compliment. Your work on the surreptitious substitution of the map for the territory was foundational to my thinking here. Thrilled to see the thermodynamic and physicalist framing resonating so clearly with you!
1) Just starting "The Abstraction Fallacy: Why AI Can Simulate But Not Instantiate Consciousness" by @AlexLerchner
This is, so far, a deeply insightful paper about mistaking computation for consciousness.
It has been a few days since I shared my preprint, "The Abstraction Fallacy," and I am really enjoying the rigorous discussions. Two specific critiques keep coming up, so I want to address them directly here. π§΅π
5/5 Husserl called this error the "surreptitious substitution" , beautifully modernized in the book The Blind Spot. The takeaway is clear: subjective experience is the necessary prerequisite for abstraction learning, not the downstream result.
I highly recommend reading The Blind Spot for anyone interested in why observer-independent computation is a category error.
And if you haven't read the preprint yet, you can find it here: philpapers.org/rec/LERTAF
It's been great seeing the discussion around my preprint, "The Abstraction Fallacy." A recent critique by Real Morality brings up some interesting philosophical points but misinterprets a few foundational definitions in the framework. A quick clarification: π§΅π
6/6 The only requirement is that consciousness is a physical process. Due to the ontological boundary between simulation and instantiation, algorithmically simulating a physical process will never instantiate it.
Updated "The Abstraction Fallacy" on PhilArchive with a disclaimer. It's important to distinguish between individual scientific findings and corporate policy. This paper reflects the former, representing my own research and proofs.
Read the update here: philpapers.org/rec/LERTAF
Since publishing "The Abstraction Fallacy," the most common pushback relies on a deeply ingrained but flawed metaphor: the assumption that the brain is a computer. Here is a brief clarification on why it is not, and why this matters for computational functionalism. 1/5
philpapers.org/rec/LERTAF
Because computation requires this mapmaker to exist in the first place, we cannot reverse the causal chain. You cannot run a simulation with so much algorithmic complexity that it suddenly generates the mapmaker. Extrinsic simulation (syntax) is structurally distinct from intrinsic instantiation (physics). 4/5
Crucially, this is not biological exceptionalism. If an artificial system ever becomes conscious, it will be because we engineered the correct intrinsic physical dynamics (the territory), not because we ran a sufficiently complex algorithm (the map). 5/5