https://www.youtube.com/watch?v=yRV8fSw6HaE
But there's more to the setup than you might assume from a casual reading. Here's the code used for that demo:
https://github.com/SeanCole02/doom-neuron
So there is an entire pytorch stack wrapped around the mysterious little blob of neurons -- they aren't just wired straight into WASD. There is a conventional convnet-based encoder, running on a GPU, in the critical path. The README tries to argue that the "neurons are doing the learning" but to my dilettante, critical eye it really looks as though there is a hell of a lot of learning happening in the convnet also.
Are the neurons learning to play doom, or are they learning to inject ever so slightly more effective noise into the critical path? Would this work just as well if we replaced the neurons with some other non-markovian sludge? The authors do ablation experiments to try to get to the bottom of this but I can't really tell how compelling the results are (due to my own ignorance/stupidity of course)
> After forty years of vegetarianism, Max Berger was about to sit down to a feast of pork sausages, crispy bacon and pan-fried chicken breast. Max had always missed the taste of meat, but his principles were stronger than his culinary cravings. But now he was able to eat meat with a clear conscience.
> The sausages and bacon had come from a pig called Priscilla he had met the week before. The pig had been genetically engineered to be able to speak and, more importantly, to want to be eaten. Ending up on a human’s table was Priscilla’s lifetime ambition and she woke up on the day of her slaughter with a keen sense of anticipation. She had told all this to Max just before rushing off to the comfortable and humane slaughterhouse. Having heard her story, Max thought it would be disrespectful not to eat her.
> The chicken had come from a genetically modified bird which had been ‘decerebrated’. In other words, it lived the life of a vegetable, with no awareness of self, environment, pain or pleasure. Killing it was therefore no more barbarous than uprooting a carrot.
> Yet as the plate was placed before him, Max felt a twinge of nausea. Was this just a reflex reaction, caused by a lifetime of vegetarianism? Or was it the physical sign of a justifiable psychic distress? Collecting himself, he picked up his knife and fork . . .
> Source: The Restaurant at the End of the Universe by Douglas Adams (Pan Books, 1980)
This description does not seem to really match what was done in the Doom demo, and makes me skeptical that the author has actually looked into the details.
Solms argues, I think convincingly, that consciousness fundamentally has to do with emotions and not cognition. Consciousness is not produced by the cortex but rather by the brainstem, where signals from all over the body converge (e.g. pain, hunger, itchiness, etc).
If that argument is true then a petri-dish of neurons is unlikely to be conscious, even it performs some analogue of visual processing.
The book makes other arguments that I found less convincing. For example that consciousness is "felt homeostasis" and that a fairly simple system (somewhat more complex than a thermometer) will be conscious, albeit minimally.
From my perspective, I belive things will happen in the following order;
1. AI will eventually take over all silicon chip design. Human designs pale in comparison. Moores Law, which currently indicates that humans are reaching the practical limitations of their own silicon chip design skills; will give way to a new law. The new law, "Claude's Law" dictates that processing speed will increase by a factor of 10 every year. And for a decade or so, it does. There is no reason to ever fabricate another human designed chip ever again. To do so would be an irresponsible waste of fabrication resources.
2. AI will reach the practical limits of silicon processing capability 10 years after humans designed their last commercial chip. Chip performance increases begin to slow, and it looks like the end of unit performance increases for silicon based computing technology is approaching.
3. AI pivots to biological computers. Next generation computers emerge that are made from DNA and living tissue. Although the shape of a computer server remains mostly unchanged, a next generation biological computer is basically just "a really big brain in a jar."
4. Biological robots?
you may find a look at how a full visual system is constructed to be a relief.
https://www.cell.com/fulltext/S0896-6273(07)00774-X
there is a good distance to go before this is anything beyond a reflex circuit.
https://www.sciencedirect.com/topics/neuroscience/spinal-ref...
> We all desperately want to say no. We want to say it’s just a science experiment, that 200,000 neurons isn’t enough to be a “person.” But 200,000 is already more neurons than a jellyfish or a worm.
> Where do we draw the line?
This shows a lack of understanding of neurobiology. 200.000 neurons don't "see"; they register and respond to the action potential generated. Adding more to that simply means you have more possibilities to respond. Having 10000 billion neurons does not automatically imply intelligence. To try to simplify it down to mere numbers, e. g. "this must be a worm", shows that there is a lack of understanding of the core tenets of neurobiology. This also includes non-action potential involved understanding, e. g. the special role of certain mRNA/proteins, re-recreating memory and so forth: https://pmc.ncbi.nlm.nih.gov/articles/PMC6650148/
But even aside from this, the whole premise is weird. Science always includes the scary parts. Nuclear energy can be used for peaceful production of energy and it can be used to obliterate people, as one country has shown to the rest of the world. You have a similar issue with regards to biology in general. You could also see this with drones - you can use drones to deliver goods via air to people, or you can use it to deliver an explosive payload to help in warfare. I don't fully understand the "I am scared" part. This is a general problem, not one limited to biological computing at all.
In a concept? Immunological privilege. And you thought CVEs were the worst thing ever.
trained them to play DOOM - honestly better than I do.
Maybe the author really really sucks at DOOM, but I think this is a false embellishment:>> While the neurons can play the game better than a randomly firing player, they’re not very good. “Right now, the cells play a lot like a beginner who’s never seen a computer—and in all fairness, they haven’t,” Brett Kagan, chief scientific officer at Cortical Labs, says in the video. “But they show evidence that they can seek out enemies, they can shoot, they can spin. And while they die a lot, they are learning.” [https://www.smithsonianmag.com/smart-news/a-clump-of-human-b... ]
To play DOOM, the system feeds visual data to the neurons. For the neurons to react, they have to interpret that data in some way.
This is totally false - not even a misleading metaphor, just plain wrong. The neuronal computer doesn't get any visual information:>> So how does a petri dish of brain cells play Doom when it doesn’t have any eyes? Or fingers? "We take a snapshot of the game with information like the player’s health and the position of enemies, pass it through a neural network, convert it into numbers, and send the data,” explains Cole. “This is called encoding – essentially turning the game state into signals the neurons can understand. The neurons then fire an output – move left, move right, walk forward, shoot or not shoot – which the system decodes and converts back into actions in the game." [https://www.theguardian.com/games/2026/mar/16/petri-dish-bra...]
I am also concerned about neuronal computing. But it doesn't really help anyone to spread childish ghost stories about it.
I really hate YouTube, by the way. My dad used to read newspapers and had interesting ideas. Now he watches a bunch of YouTube and he's a huge idiot. It's not (directly) because of age: nobody is immune to narcotic slop. I had to delete my account when I realized how much of my life and cognition I was wasting. I wish others would do the same.
That book has haunted me for decades.
Only in this telling, Sisyphus is rolling his uneven boulder along that asymptotic curve a little further with every iteration toward a smiling Zeus.
There will be no line as long as there is the rush to win the capitalist game.
UNTIL -> The ball of neurons begins outthinking the humans. Probably also fused with some AI augmentation.
It only takes a few percentage points for a Human to outthink a Chimp. This new 'thing' will dominate the humans.