Russians at it again, Microsoft and Adobe updates, PoS breaches, US-CERT throws TLS shade, epilepsy tweet stalking, Tesla's billion, lip-reading AI, autonomous BMWs, Fiber Lasers, taxing robots, Green Zones and Red Zones, AI disruption of healthcare, discovery, recommendations, and aphorisms, and more…

Russians at it again, Microsoft and Adobe updates, PoS breaches, US-CERT throws TLS shade, epilepsy tweet stalking, Tesla's billion, lip-reading AI, autonomous BMWs, Fiber Lasers, taxing robots, Green Zones and Red Zones, AI disruption of&nbsp;healthcare, discovery, recommendations, and&nbsp;aphorisms, and more&hellip;

Unsupervised Learning is about ideas and trends in Cybersecurity, National Security, AI, Technology, and Culture—and how best to upgrade ourselves to be ready for what's coming.

Unsupervised Learning is about ideas and trends in Cybersecurity, National Security, AI, Technology, and Culture&mdash;and how best to upgrade ourselves to be ready for what's coming.

Exploring the fascinating intersection of security, technology, and humans.

Unsupervised Learning

Unsupervised Learning: No. 70

How we can use an output-based system to judge whether or not different kinds of technology achieve understanding or intelligence. 

How we can use an output-based system to judge whether or not different kinds of technology achieve understanding or intelligence.&nbsp;

Judge AI based on Output, Not Mechanism

https://api.omny.fm/orgs/070af456-729b-4a0f-9c09-a6c100397b59/clips/534211c5-f57b-4474-948e-b39d0165f728/transcript

How humans and AI models both share the weakness of deterioration without novel inputs. 

How humans and AI models both share the weakness of deterioration without novel inputs.&nbsp;

Humans Need Entropy

https://api.omny.fm/orgs/070af456-729b-4a0f-9c09-a6c100397b59/clips/157ff45e-4f22-4811-8565-b396016b98d9/transcript

Karpathy is confusing LLM limitations with AI system limitations, and that makes all the difference. 

Karpathy is confusing LLM limitations with AI system limitations, and that makes all the difference.&nbsp;

Why I Think Karpathy is Wrong on the AGI Timeline

https://api.omny.fm/orgs/070af456-729b-4a0f-9c09-a6c100397b59/clips/cbeb8cdf-250f-4e40-82f6-b37c00ecd96b/transcript

Unsupervised Learning: No. 70

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