00:02 Rapid advancements in AI technology and massive investment in the American industrial sector. 02:20 Predicting AGI capabilities by 2027 06:53 The evolution of GPT from GPT-2 to GPT-4 in just a few years. 09:17 Rapid progress in deep learning and machine intelligence 13:53 Rapid advancement in AI compute scale-ups 16:10 Algorithmic progress is a key driver of AI advancement 20:22 Gemini 1.5 Pro offers significant compute efficiency gains compared to previous models at lower cost 22:26 Challenges in scaling AI models due to data constraints 26:33 Importance of high-quality data for AI training 28:32 Importance of Un-hobbling in AI advancements 32:39 Significant performance gains through post-training improvements 34:39 Current AI models lack key functionalities for broader commercial applications. 38:38 Unleashing test time compute could unlock a jump in AI capability 40:42 GPT models will soon be able to use a computer like a human. 44:42 AI progress is accelerating, with AGI potentially achievable by 2027. 46:42 Automated AI Engineers could compress a decade of algorithmic progress into a year or less 50:43 Rapid AI progress leading to uncertain AGI timeline 52:42 AGI could accelerate AI research exponentially 56:42 AI research will lead to a trillion dollar cluster 58:49 Automated AI researchers will accelerate research effort 1:02:53 Potential rapid progression from AGI to Super intelligence 1:04:59 Automating AI research presents a bottleneck to algorithmic progress. 1:09:07 Compute bottleneck crucial for intelligence explosion 1:11:06 Focusing on big wins in AI research 1:15:13 Automated AI researchers can work 10x more efficiently 1:17:16 Automated AI researchers have unique strengths and aim to mitigate the compute bottleneck. 1:21:16 AI capabilities will be uneven and peaky across domains 1:23:20 Limitations of algorithmic progress 1:27:26 A millionfold increase in research effort could lead to massive acceleration 1:29:30 Empirical returns to algorithmic R&D favors explosive growth 1:33:37 AI-driven R&D could compress a century of human research into years 1:35:37 Superintelligence could lead to a decisive military advantage 1:39:45 Post superintelligence will bring immense challenges 1:41:49 The race to AGI is mobilizing America's industrial might. 1:45:57 Massive investment in AI infrastructure and compute power 1:47:56 AI accelerator market to reach $400 billion by 2027 1:52:01 Trillion-dollar AI investment can have significant impacts on national security and historical funding references. 1:54:11 Scaling up AI clusters with power constraints 1:58:18 TSMC's need to scale up AI chip production to meet demand 2:00:21 TSMC needs to build dozens of AIG GPUs and invest in memory, advanced packaging, and networking. 2:04:22 Securing AGI secrets against state actor threat 2:06:21 Importance of securing AGI algorithmic breakthroughs 2:10:25 Securing model weights is crucial for AI security. 2:12:28 Security risks of AI model weights theft 2:16:31 The development of AI is reaching a data wall and the next breakthrough will come from advanced algorithmic progress. 2:18:35 Algorithmic security at AI labs is dangerously low 2:22:39 AGI clusters require extreme security measures 2:24:45 Importance of security measures in AI labs for national interest 2:28:52 Incorrect measurement on absorption cross-section of graphite led to pursuing heavy water instead 2:30:56 Ensuring AI lab security is crucial for national security and global dominance. 2:34:58 Ensuring AI alignment through human feedback 2:37:00 Controlling AI systems smarter than us presents new technical challenges. 2:41:00 Superintelligence poses catastrophic risks without alignment. 2:43:03 Rapid transition to superhuman systems poses major risks 2:47:02 Navigating the challenges of advancing AI capabilities 2:49:03 Importance of developing reliable metrics for AI supervision during the intelligence explosion 2:53:06 Superhuman model behavior and interpretability 2:55:04 Advancements in top-down interpretability techniques for AI 2:59:08 Developing better measurements for model alignment is critical for safety. 3:01:12 Leveraging early AIs for AI safety is crucial. 3:05:18 Limiting AI capabilities can reduce potential risks and failures. 3:07:20 Deploy AI cautiously in military applications 3:11:22 Super intelligence is a matter of national security 3:13:27 Impact of superintelligence on military technology 3:17:33 Superintelligence could provide a decisive military advantage. 3:19:36 China's potential to compete in AI despite current limitations 3:23:33 Western labs ahead in AI race, but China poses security threat 3:25:33 The potential for Chinese government to pursue AGI development is a concern. 3:29:37 The Free World must stand strong against authoritarian regimes in the AI race 3:31:43 AGI poses existential risk through mass death means proliferation 3:35:50 Superintelligence as a matter of national security 3:37:47 US needs to rapidly and radically lock down AI Labs to secure lead in AGI development. 3:41:49 Government involvement crucial for managing AI super intelligence 3:43:51 The response to COVID-19 and future of AI will involve dramatic shifts. 3:47:52 National Security State heavily involved in AI project 3:50:02 AGI research team to move to secure location 3:54:08 The need for strong governance in the field of AI 3:56:11 Initial development of super intelligence dominated by the National Security agency. 4:00:13 Regulation may not be enough to handle the challenge of AI intelligence explosion. 4:02:13 Global cooperation and superintelligence control are crucial for AI development. 4:06:13 Collaboration for peaceful superintelligence deployment 4:08:14 The imperative to develop stabilizing technologies amidst a tense global situation. 4:12:12 AGI infrastructure must be controlled by America 4:14:10 AGI development and its implications are becoming increasingly real and urgent. 4:18:12 Analysis of the cost breakdown for large clusters and Nvidia's share of the cost 4:20:15 New power sources investing in upfront capital rather than renting existent plants.
✦ Rapid advancement towards trillion-dollar AI clusters 00:02 ✦ By 2027, AI models are expected to reach AGI capabilities. 02:20 ✦ GPT-4 has advanced to the level of a smart high schooler. 06:53 ✦ Rapid progress in deep learning and AI models 09:17 ✦ Rapid advancements in AI compute power 13:53 ✦ Algorithmic progress is a major driver 16:10 ✦ Gemini 1.5 Pro offers significant compute efficiency gains compared to previous versions. 20:22 ✦ Challenges with data constraints in AI training 22:26 ✦ Emphasize importance of high-quality data over training compute 26:33 ✦ Importance of un-hobbling models for AI progress 28:32 ✦ Post-training improvements lead to substantial gains in model capabilities 32:39 ✦ AI models are still limited and need further development. 34:39 ✦ Unlocking longer context for AI models leads to significant capability increase 38:38 ✦ AI models evolving to work like humans on a computer 40:42 ✦ AI progress is accelerating, AGI possible by 2027 44:42 ✦ Automated AI Engineers could compress a decade of progress into a year or less. 46:42 ✦ AI progress will continue rapidly, potentially leading to AGI and superintelligence 50:43 ✦ AGI could accelerate AI research exponentially 52:42 ✦ AI researchers aiming for trillion dollar clusters 56:42 ✦ Automated AI researchers could compress a decade of AI progress into a year 58:49 ✦ Potential rapid advancement from AGI to Super intelligence 1:02:53 ✦ Automating AI research could be a bottleneck for algorithmic progress 1:04:59 ✦ Compute availability is a bottleneck for intelligence explosion 1:09:07 ✦ Automated AI researchers can efficiently discover gains and run more experiments 1:11:06 ✦ Automated AI researchers could be 10x more efficient in algorithmic progress 1:15:13 ✦ Automated AI researchers excel at speed and scale 1:17:16 ✦ AI capabilities will be uneven across domains 1:21:16 ✦ AI progress reaching fundamental limits 1:23:20 ✦ Algorithmic progress can lead to a massive acceleration in research efforts. 1:27:26 ✦ AI systems will be unimaginably powerful 1:29:30 ✦ AI-driven R&D could compress centuries of progress into years. 1:33:37 ✦ Super intelligence could lead to a decisive military advantage 1:35:37 ✦ Superintelligent AI systems will bring immense challenges. 1:39:45 ✦ Rapid growth in AI investment and industrial mobilization are leading to trillion-dollar AI race. 1:41:49 ✦ Massive compute infrastructure crucial for AI development. 1:45:57 ✦ Massive scale-up of AI investment and economic returns 1:47:56 ✦ Trillions invested in AI could impact various sectors globally 1:52:01 ✦ Challenges and solutions for power supply in AI development 1:54:11 ✦ TSMC's potential in AI chip production and the challenges ahead 1:58:18 ✦ TSMC facing challenges in AI scaling 2:00:21 ✦ AGI secrets are crucial for national defense 2:04:22 ✦ Importance of early algorithmic breakthroughs for AGI security 2:06:21 ✦ Securing model weights is critical for preventing AI catastrophes 2:10:25 ✦ Risk of adversaries stealing AI model weights and potential intelligence explosion 2:12:28 ✦ Importance of protecting algorithmic secrets 2:16:31 ✦ Algorithmic security in AI labs is severely lacking 2:18:35 ✦ Stringent security measures for AI development 2:22:39 ✦ Balancing security measures and research productivity in American AI Labs 2:24:45 ✦ Incorrect measurement on absorption cross-section of graphite led to German pursuit of heavy water 2:28:52 ✦ Ensuring AI lab security is crucial for national security 2:30:56 ✦ Ensuring alignment and safety with Reinforcement Learning from Human Feedback (RHF) 2:34:58 ✦ AI systems getting smarter will present new control challenges. 2:37:00 ✦ Risks of superintelligence and AI integration in critical systems 2:41:00 ✦ Rapid transition to superhuman AI systems poses high-stakes safety risks 2:43:03 ✦ AI can't fully substitute for human decision makers in high-stakes situations 2:47:02 ✦ Developing good science for safe intelligence explosion 2:49:03 ✦ Ensuring AI alignment and interpretability for trust and verification 2:53:06 ✦ Exciting progress in understanding AI interpretability 2:55:04 ✦ Need for developing better measurements to ensure AI alignment 2:59:08 ✦ Properly leveraging early agis for AI safety is crucial 3:01:12 ✦ Limiting AI capabilities to reduce real-world damage 3:05:18 ✦ Deploying AI in military applications with caution 3:07:20 ✦ Super intelligence is a game-changing technology with significant military implications. 3:11:22 ✦ Superintelligence will lead to unprecedented military dominance. 3:13:27 ✦ Advantages of super intelligence in military application 3:17:33 ✦ China could be competitive in the AI race 3:19:36 ✦ Western labs have a significant lead in AI development 3:23:33 ✦ Beware of the potential implications of Chinese AGI efforts 3:25:33 ✦ The Free World must prevail over authoritarian powers. 3:29:37 ✦ AGI poses existential risk through proliferation of advanced weaponry 3:31:43 ✦ Maintaining a healthy lead in AGI race is crucial for stabilizing post superintelligence 3:35:50 ✦ US must rapidly and radically lock down AI Labs to secure Peace and Freedom 3:37:47 ✦ Government involvement crucial for managing super intelligence and national defense projects. 3:41:49 ✦ The exponential growth of AI will bring dramatic and significant changes. 3:43:51 ✦ National Security State heavily involved in AI race 3:47:52 ✦ The development of AGI will become a crucial national security project for the United States. 3:50:02 ✦ Government responsibility in wielding powerful AI 3:54:08 ✦ Development of superintelligence will be initially dominated by national security agencies 3:56:11 ✦ Regulation may not be up to the challenge of AI intelligence explosion. 4:00:13 ✦ AI race needs government intervention and protection in the US 4:02:13 ✦ Coordinated global efforts for safe and responsible use of superintelligence. 4:06:13 ✦ The race for superintelligence and its impact on global stability and security. 4:08:14 ✦ Recognition of the power and peril of superintelligence 4:12:12 ✦ AI's development feels extremely visceral and inevitable. 4:14:10 ✦ Cost breakdown of AI cluster components 4:18:12 ✦ New power approach focusing on capex upfront
so will this help with games how will this help with games We need an AI agent's ai can reason code program script map. So games break it down and do art assets do long term planing. Better reason so it can do a game rather than write it out. Or be able to put those ideas into REALITY. And maybe being able to remember and search the ent conversation needed for role playing and making games.
2027 will be a pivotal year. Although things may not move as fast or as smoothly as AI companies hope. Would love to see some real, practical insights on how to prepare (one that doesn't depend on reasonable governance, that's likely not happening).
Ironically re: how to prepare, I uploaded the full pdf to notebooklm and asked how we can prepare from a financial, health, and safety perspective if Leopold's future were to be realized, and this is what I got: The document focuses heavily on the rapid advancement of artificial intelligence (AI) and does not contain information about financial, health, and safety preparations for individuals. However, the source does suggest these preparations may be futile or unproductive in light of its predictions: ● The coming changes are of such magnitude that they will likely render most traditional preparations moot. ● The speed of AI development-and the societal and global changes it is predicted to bring-will be far more rapid and unpredictable than anything experienced before. That said, the source does suggest people who understand the vast changes to come are investing heavily in Nvidia (NVDA) stock. You may want to independently verify this information.
00:02 Rapid advancements in AI technology and massive investment in the American industrial sector.
02:20 Predicting AGI capabilities by 2027
06:53 The evolution of GPT from GPT-2 to GPT-4 in just a few years.
09:17 Rapid progress in deep learning and machine intelligence
13:53 Rapid advancement in AI compute scale-ups
16:10 Algorithmic progress is a key driver of AI advancement
20:22 Gemini 1.5 Pro offers significant compute efficiency gains compared to previous models at lower cost
22:26 Challenges in scaling AI models due to data constraints
26:33 Importance of high-quality data for AI training
28:32 Importance of Un-hobbling in AI advancements
32:39 Significant performance gains through post-training improvements
34:39 Current AI models lack key functionalities for broader commercial applications.
38:38 Unleashing test time compute could unlock a jump in AI capability
40:42 GPT models will soon be able to use a computer like a human.
44:42 AI progress is accelerating, with AGI potentially achievable by 2027.
46:42 Automated AI Engineers could compress a decade of algorithmic progress into a year or less
50:43 Rapid AI progress leading to uncertain AGI timeline
52:42 AGI could accelerate AI research exponentially
56:42 AI research will lead to a trillion dollar cluster
58:49 Automated AI researchers will accelerate research effort
1:02:53 Potential rapid progression from AGI to Super intelligence
1:04:59 Automating AI research presents a bottleneck to algorithmic progress.
1:09:07 Compute bottleneck crucial for intelligence explosion
1:11:06 Focusing on big wins in AI research
1:15:13 Automated AI researchers can work 10x more efficiently
1:17:16 Automated AI researchers have unique strengths and aim to mitigate the compute bottleneck.
1:21:16 AI capabilities will be uneven and peaky across domains
1:23:20 Limitations of algorithmic progress
1:27:26 A millionfold increase in research effort could lead to massive acceleration
1:29:30 Empirical returns to algorithmic R&D favors explosive growth
1:33:37 AI-driven R&D could compress a century of human research into years
1:35:37 Superintelligence could lead to a decisive military advantage
1:39:45 Post superintelligence will bring immense challenges
1:41:49 The race to AGI is mobilizing America's industrial might.
1:45:57 Massive investment in AI infrastructure and compute power
1:47:56 AI accelerator market to reach $400 billion by 2027
1:52:01 Trillion-dollar AI investment can have significant impacts on national security and historical funding references.
1:54:11 Scaling up AI clusters with power constraints
1:58:18 TSMC's need to scale up AI chip production to meet demand
2:00:21 TSMC needs to build dozens of AIG GPUs and invest in memory, advanced packaging, and networking.
2:04:22 Securing AGI secrets against state actor threat
2:06:21 Importance of securing AGI algorithmic breakthroughs
2:10:25 Securing model weights is crucial for AI security.
2:12:28 Security risks of AI model weights theft
2:16:31 The development of AI is reaching a data wall and the next breakthrough will come from advanced algorithmic progress.
2:18:35 Algorithmic security at AI labs is dangerously low
2:22:39 AGI clusters require extreme security measures
2:24:45 Importance of security measures in AI labs for national interest
2:28:52 Incorrect measurement on absorption cross-section of graphite led to pursuing heavy water instead
2:30:56 Ensuring AI lab security is crucial for national security and global dominance.
2:34:58 Ensuring AI alignment through human feedback
2:37:00 Controlling AI systems smarter than us presents new technical challenges.
2:41:00 Superintelligence poses catastrophic risks without alignment.
2:43:03 Rapid transition to superhuman systems poses major risks
2:47:02 Navigating the challenges of advancing AI capabilities
2:49:03 Importance of developing reliable metrics for AI supervision during the intelligence explosion
2:53:06 Superhuman model behavior and interpretability
2:55:04 Advancements in top-down interpretability techniques for AI
2:59:08 Developing better measurements for model alignment is critical for safety.
3:01:12 Leveraging early AIs for AI safety is crucial.
3:05:18 Limiting AI capabilities can reduce potential risks and failures.
3:07:20 Deploy AI cautiously in military applications
3:11:22 Super intelligence is a matter of national security
3:13:27 Impact of superintelligence on military technology
3:17:33 Superintelligence could provide a decisive military advantage.
3:19:36 China's potential to compete in AI despite current limitations
3:23:33 Western labs ahead in AI race, but China poses security threat
3:25:33 The potential for Chinese government to pursue AGI development is a concern.
3:29:37 The Free World must stand strong against authoritarian regimes in the AI race
3:31:43 AGI poses existential risk through mass death means proliferation
3:35:50 Superintelligence as a matter of national security
3:37:47 US needs to rapidly and radically lock down AI Labs to secure lead in AGI development.
3:41:49 Government involvement crucial for managing AI super intelligence
3:43:51 The response to COVID-19 and future of AI will involve dramatic shifts.
3:47:52 National Security State heavily involved in AI project
3:50:02 AGI research team to move to secure location
3:54:08 The need for strong governance in the field of AI
3:56:11 Initial development of super intelligence dominated by the National Security agency.
4:00:13 Regulation may not be enough to handle the challenge of AI intelligence explosion.
4:02:13 Global cooperation and superintelligence control are crucial for AI development.
4:06:13 Collaboration for peaceful superintelligence deployment
4:08:14 The imperative to develop stabilizing technologies amidst a tense global situation.
4:12:12 AGI infrastructure must be controlled by America
4:14:10 AGI development and its implications are becoming increasingly real and urgent.
4:18:12 Analysis of the cost breakdown for large clusters and Nvidia's share of the cost
4:20:15 New power sources investing in upfront capital rather than renting existent plants.
✦
Rapid advancement towards trillion-dollar AI clusters
00:02
✦
By 2027, AI models are expected to reach AGI capabilities.
02:20
✦
GPT-4 has advanced to the level of a smart high schooler.
06:53
✦
Rapid progress in deep learning and AI models
09:17
✦
Rapid advancements in AI compute power
13:53
✦
Algorithmic progress is a major driver
16:10
✦
Gemini 1.5 Pro offers significant compute efficiency gains compared to previous versions.
20:22
✦
Challenges with data constraints in AI training
22:26
✦
Emphasize importance of high-quality data over training compute
26:33
✦
Importance of un-hobbling models for AI progress
28:32
✦
Post-training improvements lead to substantial gains in model capabilities
32:39
✦
AI models are still limited and need further development.
34:39
✦
Unlocking longer context for AI models leads to significant capability increase
38:38
✦
AI models evolving to work like humans on a computer
40:42
✦
AI progress is accelerating, AGI possible by 2027
44:42
✦
Automated AI Engineers could compress a decade of progress into a year or less.
46:42
✦
AI progress will continue rapidly, potentially leading to AGI and superintelligence
50:43
✦
AGI could accelerate AI research exponentially
52:42
✦
AI researchers aiming for trillion dollar clusters
56:42
✦
Automated AI researchers could compress a decade of AI progress into a year
58:49
✦
Potential rapid advancement from AGI to Super intelligence
1:02:53
✦
Automating AI research could be a bottleneck for algorithmic progress
1:04:59
✦
Compute availability is a bottleneck for intelligence explosion
1:09:07
✦
Automated AI researchers can efficiently discover gains and run more experiments
1:11:06
✦
Automated AI researchers could be 10x more efficient in algorithmic progress
1:15:13
✦
Automated AI researchers excel at speed and scale
1:17:16
✦
AI capabilities will be uneven across domains
1:21:16
✦
AI progress reaching fundamental limits
1:23:20
✦
Algorithmic progress can lead to a massive acceleration in research efforts.
1:27:26
✦
AI systems will be unimaginably powerful
1:29:30
✦
AI-driven R&D could compress centuries of progress into years.
1:33:37
✦
Super intelligence could lead to a decisive military advantage
1:35:37
✦
Superintelligent AI systems will bring immense challenges.
1:39:45
✦
Rapid growth in AI investment and industrial mobilization are leading to trillion-dollar AI race.
1:41:49
✦
Massive compute infrastructure crucial for AI development.
1:45:57
✦
Massive scale-up of AI investment and economic returns
1:47:56
✦
Trillions invested in AI could impact various sectors globally
1:52:01
✦
Challenges and solutions for power supply in AI development
1:54:11
✦
TSMC's potential in AI chip production and the challenges ahead
1:58:18
✦
TSMC facing challenges in AI scaling
2:00:21
✦
AGI secrets are crucial for national defense
2:04:22
✦
Importance of early algorithmic breakthroughs for AGI security
2:06:21
✦
Securing model weights is critical for preventing AI catastrophes
2:10:25
✦
Risk of adversaries stealing AI model weights and potential intelligence explosion
2:12:28
✦
Importance of protecting algorithmic secrets
2:16:31
✦
Algorithmic security in AI labs is severely lacking
2:18:35
✦
Stringent security measures for AI development
2:22:39
✦
Balancing security measures and research productivity in American AI Labs
2:24:45
✦
Incorrect measurement on absorption cross-section of graphite led to German pursuit of heavy water
2:28:52
✦
Ensuring AI lab security is crucial for national security
2:30:56
✦
Ensuring alignment and safety with Reinforcement Learning from Human Feedback (RHF)
2:34:58
✦
AI systems getting smarter will present new control challenges.
2:37:00
✦
Risks of superintelligence and AI integration in critical systems
2:41:00
✦
Rapid transition to superhuman AI systems poses high-stakes safety risks
2:43:03
✦
AI can't fully substitute for human decision makers in high-stakes situations
2:47:02
✦
Developing good science for safe intelligence explosion
2:49:03
✦
Ensuring AI alignment and interpretability for trust and verification
2:53:06
✦
Exciting progress in understanding AI interpretability
2:55:04
✦
Need for developing better measurements to ensure AI alignment
2:59:08
✦
Properly leveraging early agis for AI safety is crucial
3:01:12
✦
Limiting AI capabilities to reduce real-world damage
3:05:18
✦
Deploying AI in military applications with caution
3:07:20
✦
Super intelligence is a game-changing technology with significant military implications.
3:11:22
✦
Superintelligence will lead to unprecedented military dominance.
3:13:27
✦
Advantages of super intelligence in military application
3:17:33
✦
China could be competitive in the AI race
3:19:36
✦
Western labs have a significant lead in AI development
3:23:33
✦
Beware of the potential implications of Chinese AGI efforts
3:25:33
✦
The Free World must prevail over authoritarian powers.
3:29:37
✦
AGI poses existential risk through proliferation of advanced weaponry
3:31:43
✦
Maintaining a healthy lead in AGI race is crucial for stabilizing post superintelligence
3:35:50
✦
US must rapidly and radically lock down AI Labs to secure Peace and Freedom
3:37:47
✦
Government involvement crucial for managing super intelligence and national defense projects.
3:41:49
✦
The exponential growth of AI will bring dramatic and significant changes.
3:43:51
✦
National Security State heavily involved in AI race
3:47:52
✦
The development of AGI will become a crucial national security project for the United States.
3:50:02
✦
Government responsibility in wielding powerful AI
3:54:08
✦
Development of superintelligence will be initially dominated by national security agencies
3:56:11
✦
Regulation may not be up to the challenge of AI intelligence explosion.
4:00:13
✦
AI race needs government intervention and protection in the US
4:02:13
✦
Coordinated global efforts for safe and responsible use of superintelligence.
4:06:13
✦
The race for superintelligence and its impact on global stability and security.
4:08:14
✦
Recognition of the power and peril of superintelligence
4:12:12
✦
AI's development feels extremely visceral and inevitable.
4:14:10
✦
Cost breakdown of AI cluster components
4:18:12
✦
New power approach focusing on capex upfront
Many many thanks for your hard good work👍🙏
This book feels and sounds a lot like reading Neil Stephenson “Snow Crash”. “What a time to be alive!”
Maybe the AI will snow crash us
I was using a PDF reader but this is better thanks
All this power to run AI computers, meanwhile, the human brain uses 20 watts.
so will this help with games how will this help with games
We need an AI agent's ai can reason code program script map. So games break it down and do art assets do long term planing. Better reason so it can do a game rather than write it out. Or be able to put those ideas into
REALITY. And maybe being able to remember and search the ent conversation needed for role
playing and making games.
2027 will be a pivotal year. Although things may not move as fast or as smoothly as AI companies hope. Would love to see some real, practical insights on how to prepare (one that doesn't depend on reasonable governance, that's likely not happening).
Ironically re: how to prepare, I uploaded the full pdf to notebooklm and asked how we can prepare from a financial, health, and safety perspective if Leopold's future were to be realized, and this is what I got:
The document focuses heavily on the rapid advancement of artificial intelligence (AI) and does not contain information about financial, health, and safety preparations for individuals. However, the source does suggest these preparations may be futile or unproductive in light of its predictions:
● The coming changes are of such magnitude that they will likely render most traditional preparations moot.
● The speed of AI development-and the societal and global changes it is predicted to bring-will be far more rapid and unpredictable than anything experienced before.
That said, the source does suggest people who understand the vast changes to come are investing heavily in Nvidia (NVDA) stock. You may want to independently verify this information.
Counterpoint:
ua-cam.com/video/xm1B3Y3ypoE/v-deo.htmlm14s
@@dahawk8574I did see that actually, and didn’t find it very compelling to be honest