How Much AI Do We Need? - My AI Industry Prediction

How Much AI Do We Need? - My AI Industry Prediction

In this episode, Daniel Miessler explores how AI can transform our understanding of the present and create actionable paths for a better future.

He talks about:

The Current State, Desired State, and Transition in AI Applications:
How AI frameworks can analyze the current state, define a desired state, and propose action plans to address challenges in education, climate, health, and beyond.

The Infrastructure and Scale of AI:
Why we’re only at the beginning of building the AI infrastructure required for future demands, from GPUs and data centers to startups pushing the boundaries of what’s possible.

The Role of AI in Human and Organizational Development:
How AI can revolutionize personal lives, enhance businesses, and solve societal issues by gathering and analyzing massive amounts of contextual data to provide actionable insights.

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See you in the next one!

Chapters:

0:00 - Introduction to Unsupervised Learning Podcast
1:10 - Concept: Predicting AI Infrastructure Needs
3:45 - The Challenge of Predicting Technology vs Human Desires
6:20 - Exploring AI Infrastructure Metrics (GPUs, Data Centers, Startups)
8:55 - Philosophical Insight: Current State vs Desired State
12:15 - AI’s Role in Learning from the Past and Anticipating the Future
14:50 - Addressing Global Issues with AI (Education, Poverty, Climate)
18:30 - Transitioning from Current State to Desired State
22:05 - Context Gathering: Granularity and Technology Limitations
25:40 - AI's Impact on Individual and Family Contexts
29:10 - AI’s Potential in Business: Granularity and Cost
32:50 - Vision of Life OS and Personalized Assistance
36:15 - AI in Society: Predicting and Preventing Problems
40:00 - Infinite Context and the Scaling of AI Capabilities
44:30 - Predictions on AI Context Size and Infrastructure Demand
48:20 - The Importance of Understanding the Current State
52:10 - Conclusion

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Episoder(532)

Unsupervised Learning: No. 93

Unsupervised Learning: No. 93

Equifax fallout, BlueBorne, Microsoft RCE, iPhone X, Dumping AWS, Cassini, tech news, human news, ideas, discovery, recommendations, aphorism, and more…Become a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.

18 Sep 201742min

Unsupervised Learning: No. 92

Unsupervised Learning: No. 92

Equifax, Hutchins got Krebs'd, Russia used Facebook, Energy hacking, Anti-protester AI, High-pitched Assistant hacking, tech news, human news, ideas, discovery, recommendations, aphorism, and more…Become a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.

11 Sep 201729min

Unsupervised Learning: No. 91

Unsupervised Learning: No. 91

465K pacemaker patches, instagram leak, DJI bounty, Marketing departments messing up security news, false dichotomy in complex issues, IRS social media mining, death of the Sun, more fake Wells Fargo accounts, human echolocation, facial gestures as interface, discovery, recommendations, aphorism, and more…Become a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.

4 Sep 201737min

Unsupervised Learning: No. 90

Unsupervised Learning: No. 90

Swedish gov leak, OPM hacking arrest, cybersecurity spending $1T, Oreo, Whole Amazon Foods, intelligence genes, false dichotomy of conflicting ideas, OPSEC obscurity, discovery, aphorism, and more…Become a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.

28 Aug 201730min

Unsupervised Learning: No. 89

Unsupervised Learning: No. 89

Serious CANBUS issue, Cyber as a branch of the service?, iOS 11 Cop Mode, biometric wearables, Bill Joy battery, bitcoin forking again, ideas, discovery, aphorism, and more…Become a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.

20 Aug 201735min

Unsupervised Learning: No. 88

Unsupervised Learning: No. 88

Amazon Macie, APT28, Cuba sonic attacks, Palantir and police, DNA malware, confusing self-driving cars, ideas, discovery, aphorism, and more…Become a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.

15 Aug 201722min

Unsupervised Learning: No. 85

Unsupervised Learning: No. 85

The future of security testing, nuclear plant hacks, Android malware, satellite decryption, wildcard certs, military encryption, gsuite protections, WWE S3, tesla 3, jawbone, drone hacking, mental aging, millionare GPAs, discovery, recommendations, the weekly aphorism, and more…Become a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.

10 Jul 201726min

Unsupervised Learning: No. 83

Unsupervised Learning: No. 83

Petya ransomware worm, RNC breach, Anthem settlement, Russians want source code, risk ratings, patching, ICOs, ideas, discovery, recommendation, aphorism, and more…Become a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.

27 Jun 201726min

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