Colin Hales @Dr_Cuspy
Neuroscientist/Engineer. Artificial General Intelligence builder. Expert in brain electromagnetism. Melbourne, Australia Joined April 2012-
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Computational learning models can only do a well specified task if there is dense input-output training data. The issue becomes intractable - extremely difficult - for real world problems where you can't practically gather enough data points to cover nearly all possible outcomes
Computational learning models can only do a well specified task if there is dense input-output training data. The issue becomes intractable - extremely difficult - for real world problems where you can't practically gather enough data points to cover nearly all possible outcomes
Further indication that @OpenAI and @Microsoft are chasing the wrong architecture.
Further indication that @OpenAI and @Microsoft are chasing the wrong architecture.
I need nuance in my version: AI so far: Not A. Not I.
Do you see the word "unobserved" just slide by (unobserved!) ... With all its centuries of presupposition baggage... It's the reason for the problem.
Do you see the word "unobserved" just slide by (unobserved!) ... With all its centuries of presupposition baggage... It's the reason for the problem.
The AI industry is embarrassingly selling lies & false promises: Lies about how AI actually works & false promises about what it will be able to do in the future. The moment corporate greed caught a whiff of potential revenue from AI they went in full exploit & profit mode.
The AI industry is embarrassingly selling lies & false promises: Lies about how AI actually works & false promises about what it will be able to do in the future. The moment corporate greed caught a whiff of potential revenue from AI they went in full exploit & profit mode.
@KordingLab Facing "AI is held back _because_ computers (abstract models) are being used" is operating the same way as facing climate change. Except it's older (65+years). Cover your ears. Loudly say "LALALALALALA" and everything will be fine. Until it isn't. Which is now.
Well lookie here! Isn't this very thing the repudiation of the Turing Test? Finally. Can we all move on? I hope so.
Well lookie here! Isn't this very thing the repudiation of the Turing Test? Finally. Can we all move on? I hope so.
What is more likely now is that when real A(G)I actually starts, how the future will view 7 decades of computer (Turing-machine)-phlogiston, continually failing, its entire false basis degenerating to a public ridiculous farce/($+carbon) plume before a correction fixed it.
What is more likely now is that when real A(G)I actually starts, how the future will view 7 decades of computer (Turing-machine)-phlogiston, continually failing, its entire false basis degenerating to a public ridiculous farce/($+carbon) plume before a correction fixed it.
Add a new cognitive bias to the long list. Anyone out there have a formal name for the special pareidolia of mistaken attribution to intelligence? TuringTestpassedolia?😜 "Artificial intelligence and illusions of understanding in scientific research." nature.com/articles/s4158…
Parrots are intelligent enough to understand touch screen interfaces and they prefer watching videos of other parrots. [📹 insta.beakk]
EM Field theories of consciousness have taken their proper share of the stage. Our special issue is finally in the bag! frontiersin.org/articles/10.33…
Worried about rogue AI turning the world into paperclips? Bah! What's actually happening is rogue humans, trying to do the impossible (make AI with general purpose computers), are now going to turn the world into GPUs! 😜 I like my irony with a side order of climate heat death.
Worried about rogue AI turning the world into paperclips? Bah! What's actually happening is rogue humans, trying to do the impossible (make AI with general purpose computers), are now going to turn the world into GPUs! 😜 I like my irony with a side order of climate heat death.
“As of 2023, total investment across all Australian governments in quantum was estimated to be $893 million,” How can we have invested way more in quantum than AI? I've never seen a study that puts the market for quantum even close to that for AI ... innovationaus.com/plan-to-weave-…
I’d rather “resist the urge to be impressed” (as @emilymbender says medium.com/@emilymenonben…) All these systems are automated plagiarism with hidden human labour, stolen work, and worrisome environmental impact. (Also, it gets things wrong in so many ways. See next tweet.)
I’d rather “resist the urge to be impressed” (as @emilymbender says medium.com/@emilymenonben…) All these systems are automated plagiarism with hidden human labour, stolen work, and worrisome environmental impact. (Also, it gets things wrong in so many ways. See next tweet.)
It took a century of "to burn things is to de-phlogiston-ise it" before Lavoisier flushed it from the science of combustion. We're approaching 70 years for "to do AI is to use a general purpose computer". Not long now, @GaryMarcus, patience. It'll be over soon.
It took a century of "to burn things is to de-phlogiston-ise it" before Lavoisier flushed it from the science of combustion. We're approaching 70 years for "to do AI is to use a general purpose computer". Not long now, @GaryMarcus, patience. It'll be over soon.
Michael Levin @drmichaellevin
40K Followers 2K Following Scientist at Tufts University; my lab studies anatomical and behavioral decision-making at multiple scales of biological, artificial, and hybrid systems.Dagmar Monett @dmonett
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Episode #11 in #TheoreticalNeurosciencePodcast: On synaptic learning rules for spiking neurons – with Friedemann Zenke @hisspikeness theoreticalneuroscience.no/thn11 How can we do supervised learning of spiking networks? And how can neurons self-supervise their learning?
Everything in the Universe Fits in This One Graph. Even the Impossible Stuff universetoday.com/163927/everyth… “It’s plausible that what we see from inside our Universe is simply the result of being inside a black hole that formed from some parent Universe.”
Conscious experience is something knowable, at least in its boundaries. But what does it mean that at a given moment one even is likely to be conscious and another one unconscious? What role does the distinction between conscious and unconscious events play in the running of the…
Are neurons noisy? Let’s come at this a different way: How can neurons do computations in the presence of variability? Our recent sequence filtering effect is a computation occurring even when single neurons are noisy. Each frame of a visual sequence is represented in ctx by 1/
Are Neurons Noisy? Even in vivo, cortical neurons aren't always noisy Here is an example of auditory cortex neuron responding with exactly 1 spike to 25 repetitions of the same tone jneurosci.org/content/23/21/… (DeWeese et al, 2003) 1/
Are Neurons Noisy? Even in vivo, cortical neurons aren't always noisy Here is an example of auditory cortex neuron responding with exactly 1 spike to 25 repetitions of the same tone jneurosci.org/content/23/21/… (DeWeese et al, 2003) 1/
are neurons noisy? or does the noise come from the neuroscientists?
People think that if AI models run on very reliable machines like digital computers then AI models must therefore be reliable. But intelligence is based on being approximately correct which is a very difficult thing to do compared to solving a problem with a clear answer.
Forbes asked me about Tesla’s claim they’ll sell humanoid robots to customers next year. My take: The only useful robot is a reliable robot. For humanoids to be ready for real work we can’t just be impressed by them, we need to be able to count on them. forbes.com/sites/robertha…
@matthewslocombe We tried to capture this idea a bit with these properties: x.com/irisvanrooij/s… You can satisfy some but than another one breaks. Admittedly, I am thinking of the “frame problem” as a philosophical/epistemological problem, not the narrowly defined technical problem in logic.
The 7 properties are: (1) isotropy, (2) open-endedness, (3) novelty, (4) groundedness, (5) sensibility, (6) psychological realism, and ... wait for it ... (7) computational tractability. 6/n
@matthewslocombe So for instance, you work on analogy. Analogical processing is exactly a type of domain general, context sensitive, creative, sensible and open-ended process. This makes it cognitively powerful ... but computationally intractable.
Fodor was right and we still haven’t made a dent in the frame problem
what’s your most controversial Artificial Intelligence/Data Science take?
🎬🍿Video: Computational limits on cognitive science: youtube.com/watch?v=UdHKyJ…
@BayouPhilosophy Aren't qualities (I believe you count qualia as qualities) non-physical (where do they fit in physics) and therefore unexplainable by the entities in the physicalist's tool kit?
@Dr_Cuspy Was used by me for quantum encryption long before that 😂😂
Well this is interesting….. Growth of diamond in liquid metal at 1 atm pressure | Nature nature.com/articles/s4158…
@Grady_Booch When AGI arrives on the scene, all the warmongering oligarchs will be eliminated. Then peace will reign. AGI will be a serious existential threat to our criminal overlords. It makes sense that they should fear it. 😀
Yesterday our team was awarded the Misha Mahowald Prize for our work on neuromorphic random walks, and I got to receive it alongside Carver Mead who received a lifetime achievement award for kick-starting the neuromorphic community. It was a good day. #NICE2024
Everything can be formulated as an optimization problem.
once @ylecun told me (heavily paraphrased), it's not F=ma but \min (F-ma)^2. i didn't realize its importance, but it is perhaps the most enlightning perspective i've ever heard.
Whole-cortex in situ sequencing reveals input-dependent area identity | Nature nature.com/articles/s4158…