10 ms·
> why aren't these techniques turning into AGI? What prompted you to even ask this question? Where in the article does it say that "These results are step N on
by pickdenis 8y ago
> why aren't these techniques turning into AGI?
What prompted you to even ask this question? Where in the article does it say that "These results are step N on the path to AGI!"? This is research: the researchers found a problem that had limited solutions before (learning concepts with limited examples) and came up with a better solution. It's not clear why you're questioning this.
> [on the computability of human intelligence]
This is just silly. Even if human intelligence was beyond the reach of silicon (which I and many real researchers doubt), this work is still useful even if it doesn't result in AGI.
You're too fixated on AGI. It's not the end goal.
- yters 8y agoFrom the website: "About OpenAI: OpenAI is a non-profit AI research company, discovering and enacting the path to safe artificial general intelligence." At any rate, the bigger question is whether AGI is even possible. Why does no one even take a stab at answering this question? We have all these well funded research institutes that just assume AGI is possible, and we could just be throwing all the money down a hole.
- jononor 8y agoConsidering the commercial benefits of non-AGI machine learning, the money is not really thrown away. And many of the potential negative effects of AI can occur even without AGI, so those are worth researching too.
- yters 8y agoI'd be curious to see just how large the commercial benefits of standard ML actually are. The only reason it is hyped right now is because the media is leading people to believe something close to AGI is right around the corner, because we can bruteforce Go and index a million image dataset... Anyways, all the AI/ML hype is generated not by actual commercial value, but implied AGI. So, it would behoove us to question the underlying assumption that AGI is actually possible. After all, it is the scientific thing to do.
- mycorrhizal 8y agoMachine learning is used widely across a huge number of industries and fields from internet search, pharmaceuticals, mining/energy, digital security, entertainment, etc... So the commercial benefits are definitely tangible and not just "media hype". On computability of intelligence. I'm not an expert on this, but many people study the dynamics of biological neural networks and can represent these dynamics as PDEs which can then be mapped to electrical circuits. Granted approximations happen along the way and it has been difficult to scale these methods to large population of neurons. It still points to a solid argument that biological neural networks can be represented on a silicon substrate. This is basically what the entire field of neuromorphic engineering is focused on.
- yters 8y agoMy understanding is the practical benefit of machine learning and control systems is mostly due to simple models. Not the fancy "deep" models currently in vogue. An added problem is the high dimensional models are essentially black boxes, and are probably significantly overfitting the data, hence all the adversarial type research. Why does the mapping of biological neural networks to silicon substrate imply the human mind is a computer?
- jononor 8y agoDeep models on GPUs have made using machine learning on images tractable. Manufacturing is one industry which is expected to benefit a lot from this, using computer vision heavily for automation, quality control and robotics.
- yters 8y agoI'd be curious to see the actual ROI on this claim.
- stevenhuang 8y ago> Why does the mapping of biological neural networks to silicon substrate imply the human mind is a computer? Is this a rhetorical question or something, because it seems to me you've answered yourself there. I mean, if the mapping works, what else should it imply besides the consequent?
- jackpirate 8y agoPeople definitely study whether AGI is possible. For example, philpapers.org lists ~2000 on the philosophy of cognitive science [1], and each of these papers is discussing some aspect of the possibility of AGI. [1] https://philpapers.org/browse/cognitive-sciences https://philpapers.org/browse/cognitive-sciences
- yters 8y agoEvery such paper I've seen assumes AGI is possible, and is only concerned with the how question. Alternatively, it talks about 'qualia' and 'consciousness' which are not well defined enough to answer the question whether AGI is possible. If you've seen any papers addressing the more fundamental question in a quantitative manner I'd be interested to see a link.
- vkou 8y ago> Every such paper I've seen assumes AGI is possible, and is only concerned with the how question. Human brains exist, human brains are AGI, human brains are manufactured on a daily basis, ergo, it is in theory possible to manufacture an AGI.
- feanaro 8y agoWell, humans are an AGI and they are possible, therefore AGI is possible.