A MUST WATCH interview! I am 70 yr old and to hear the thoughts and experience of Ossiana and Thom Hartmann was illuminating! AI is a RED FLAG, a billionaires scheme and it MUST be regulated and BEWARE we can not bailout the billionaires as they infiltrate our government getting into tax dollars and resources to grow their profits! So much more to be concerned about with how we all receive information. I say, we of all age groups must pay close attention and be informed of TRUTH and REAL LIFE.
The reason it no longer applies is quantum computing, which might be more dangerous than chips driven AI.
From AI.
Alphabet (Google) has recently transitioned from its famous Sycamore processor to a more advanced chip called Willow. As of late 2025, these chips have demonstrated calculations that are physically impossible for even the world's most powerful classical supercomputers to replicate in a reasonable timeframe.
1. The Willow Chip (Current State-of-the-Art)Released in late 2024 and reaching major milestones in 2025, the Willow chip represents Google's move toward practical, error-corrected quantum computing.Qubit Count: 105 qubits.Key Calculation (Quantum Echoes): In October 2025, Google announced the Quantum Echoes algorithm, which achieved verifiable quantum advantage.Benchmark vs. Classical: * Willow: Performed the calculation in 2.1 hours.Frontier (World's fastest supercomputer): Would take approximately 3.2 years to complete the same task.Previous Benchmark: Another standard test on Willow took 5 minutes, which Google estimated would take a classical supercomputer 10 septillion years (a number larger than the age of the universe).
2. The Sycamore Processor (The Pioneer)The Sycamore processor was the first to demonstrate "quantum supremacy" in 2019. It laid the foundation for the current calculations performed by Willow.Qubit Count: 53-54 qubits.Original Calculation: It performed a "Random Circuit Sampling" task in 200 seconds.Comparison: At the time, Google claimed this would take the Summit supercomputer roughly 10,000 years, though competitors like IBM later argued it could be done faster with optimized classical algorithms.Comparison of Major MilestonesFeatureSycamore (2019)Willow (2025)Qubits54105Primary AchievementQuantum SupremacyVerifiable Quantum AdvantageError CorrectionBasic / NoisyExponential Error ReductionCalculated Speedup~10,000 years vs 200 sec~3.2 years vs 2.1 hours (Verifiable)
Quantum computing is considered by some experts to be potentially more dangerous than AI primarily due to its imminent and foundational threat to global cybersecurity and data privacy. While AI poses a broad range of ethical and societal challenges, a powerful quantum computer could fundamentally break the encryption methods that secure most of our digital world.
The underlying principles were laid out in the history of advertising. "AI" is not new.
Politically, psy ops was used primarily in Europe in WW II, although the Japanese had stuff like Tokio Rose radio. My first exposure was in ROTC before Vietnam. the case study was Guatemala, 1954. We sold a fake invasion, clandestine radio (Radio Liberation), and propaganda to intimidate the Guatemalan Army into capitulating, successfully replacing Arbenz, who was elected with a dictator.
Turns out we were also simultanieously working on using drugs, mass hypnosis for mind control. LSD, for example, was used in Army experiments.
My mom had two cousins in the OSS in WW II, who had worked with it. My dad and uncles had been exposed to Axis Sally radio.
I'm hoping that there won't be a bubble. What happened during the dot-com bubble may have some simularity, but it's not the same. The way I see it, the spending is on R&D -- a bet on the future. Most of the projects haven't even started. As an investor, "picks and shovels" is a better bet because they add jobs. All of the entities invoved, including China, are in competition with each other in a race to dominate a market that doesn't yet exist. More like the space race than the dot com bubble.
AI Key Areas of Potential
Healthcare Advancements: AI can analyze vast datasets to assist in diagnosing diseases more accurately, personalize treatment plans, accelerate drug discovery, and enable advanced robotic surgeries, potentially reducing human error and saving lives.
Economic Growth and Productivity: AI is expected to boost global productivity and contribute trillions of dollars to the world economy by 2030. It achieves this by automating repetitive tasks, optimizing supply chains, and enabling human workers to focus on more creative and strategic endeavors.
Scientific Discovery: AI is a powerful tool for research, capable of processing data with remarkable speed to spot patterns and provide insights, leading to breakthroughs in fields from material science to biology.
Climate Change Mitigation: Machine learning can help develop green energy systems, optimize energy consumption in smart grids, and improve climate modeling to minimize carbon emissions.
Enhanced Transportation: AI is the backbone of self-driving vehicles and advanced GPS systems, which can optimize routes, ease traffic congestion, and improve safety and fuel efficiency.
Improved Decision-Making: AI systems excel at real-time, complex data analysis, offering data-driven insights and recommendations across sectors like finance (fraud detection, risk assessment) and business, leading to more informed decisions.
Personalization and Communication: AI-powered tools such as chatbots and virtual assistants provide instant, personalized interactions and support, improving customer service, education, and accessibility for people with disabilities.
A MUST WATCH interview! I am 70 yr old and to hear the thoughts and experience of Ossiana and Thom Hartmann was illuminating! AI is a RED FLAG, a billionaires scheme and it MUST be regulated and BEWARE we can not bailout the billionaires as they infiltrate our government getting into tax dollars and resources to grow their profits! So much more to be concerned about with how we all receive information. I say, we of all age groups must pay close attention and be informed of TRUTH and REAL LIFE.
The chips are no longer have space as the size has finally got to the machine ability to go. Moores law no longer applies to chips.
The reason it no longer applies is quantum computing, which might be more dangerous than chips driven AI.
From AI.
Alphabet (Google) has recently transitioned from its famous Sycamore processor to a more advanced chip called Willow. As of late 2025, these chips have demonstrated calculations that are physically impossible for even the world's most powerful classical supercomputers to replicate in a reasonable timeframe.
1. The Willow Chip (Current State-of-the-Art)Released in late 2024 and reaching major milestones in 2025, the Willow chip represents Google's move toward practical, error-corrected quantum computing.Qubit Count: 105 qubits.Key Calculation (Quantum Echoes): In October 2025, Google announced the Quantum Echoes algorithm, which achieved verifiable quantum advantage.Benchmark vs. Classical: * Willow: Performed the calculation in 2.1 hours.Frontier (World's fastest supercomputer): Would take approximately 3.2 years to complete the same task.Previous Benchmark: Another standard test on Willow took 5 minutes, which Google estimated would take a classical supercomputer 10 septillion years (a number larger than the age of the universe).
2. The Sycamore Processor (The Pioneer)The Sycamore processor was the first to demonstrate "quantum supremacy" in 2019. It laid the foundation for the current calculations performed by Willow.Qubit Count: 53-54 qubits.Original Calculation: It performed a "Random Circuit Sampling" task in 200 seconds.Comparison: At the time, Google claimed this would take the Summit supercomputer roughly 10,000 years, though competitors like IBM later argued it could be done faster with optimized classical algorithms.Comparison of Major MilestonesFeatureSycamore (2019)Willow (2025)Qubits54105Primary AchievementQuantum SupremacyVerifiable Quantum AdvantageError CorrectionBasic / NoisyExponential Error ReductionCalculated Speedup~10,000 years vs 200 sec~3.2 years vs 2.1 hours (Verifiable)
Quantum computing is considered by some experts to be potentially more dangerous than AI primarily due to its imminent and foundational threat to global cybersecurity and data privacy. While AI poses a broad range of ethical and societal challenges, a powerful quantum computer could fundamentally break the encryption methods that secure most of our digital world.
The underlying principles were laid out in the history of advertising. "AI" is not new.
Politically, psy ops was used primarily in Europe in WW II, although the Japanese had stuff like Tokio Rose radio. My first exposure was in ROTC before Vietnam. the case study was Guatemala, 1954. We sold a fake invasion, clandestine radio (Radio Liberation), and propaganda to intimidate the Guatemalan Army into capitulating, successfully replacing Arbenz, who was elected with a dictator.
Turns out we were also simultanieously working on using drugs, mass hypnosis for mind control. LSD, for example, was used in Army experiments.
My mom had two cousins in the OSS in WW II, who had worked with it. My dad and uncles had been exposed to Axis Sally radio.
I'm hoping that there won't be a bubble. What happened during the dot-com bubble may have some simularity, but it's not the same. The way I see it, the spending is on R&D -- a bet on the future. Most of the projects haven't even started. As an investor, "picks and shovels" is a better bet because they add jobs. All of the entities invoved, including China, are in competition with each other in a race to dominate a market that doesn't yet exist. More like the space race than the dot com bubble.
AI Key Areas of Potential
Healthcare Advancements: AI can analyze vast datasets to assist in diagnosing diseases more accurately, personalize treatment plans, accelerate drug discovery, and enable advanced robotic surgeries, potentially reducing human error and saving lives.
Economic Growth and Productivity: AI is expected to boost global productivity and contribute trillions of dollars to the world economy by 2030. It achieves this by automating repetitive tasks, optimizing supply chains, and enabling human workers to focus on more creative and strategic endeavors.
Scientific Discovery: AI is a powerful tool for research, capable of processing data with remarkable speed to spot patterns and provide insights, leading to breakthroughs in fields from material science to biology.
Climate Change Mitigation: Machine learning can help develop green energy systems, optimize energy consumption in smart grids, and improve climate modeling to minimize carbon emissions.
Enhanced Transportation: AI is the backbone of self-driving vehicles and advanced GPS systems, which can optimize routes, ease traffic congestion, and improve safety and fuel efficiency.
Improved Decision-Making: AI systems excel at real-time, complex data analysis, offering data-driven insights and recommendations across sectors like finance (fraud detection, risk assessment) and business, leading to more informed decisions.
Personalization and Communication: AI-powered tools such as chatbots and virtual assistants provide instant, personalized interactions and support, improving customer service, education, and accessibility for people with disabilities.