How Quantum & AI Will Shape the World’s Future w/ Jack Hidary | EP #123
Oct 10, 2024
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Jack Hidary, CEO of SandboxAQ, dives deep into the revolutionary worlds of AI and quantum technology. He explores their synergy and potential to transform healthcare, including breakthroughs in drug development and diagnostics. The conversation also touches on the principles of quantum physics and their real-world applications, such as enhancing molecular interactions and optimizing clean energy solutions. Hidary highlights the exciting prospects for personalized medicine while addressing current challenges in the industry. Get ready for a glimpse into the future!
The integration of AI and quantum computing offers transformative solutions for tackling complex healthcare challenges, including the advancement of precision medicine.
Quantum computing's ability to model molecular interactions accurately can revolutionize drug development, significantly reducing time and costs associated with bringing new therapies to market.
Recent breakthroughs in large language models enhance predictive capabilities in AI, facilitating better understanding of human cognition and advancing natural language processing.
Deep dives
Challenges in Medical Research
Alzheimer's and Parkinson's diseases highlight significant challenges in medical research, where decades of study yield limited advancements. Despite considerable funding and effort, treatments for illnesses such as dementia remain scarce, while certain cancers still lack effective solutions. The conversation emphasizes that even successful treatments, like those for breast cancer, don't represent overall progress, as other high-mortality cancers like pancreatic cancer continue to have no effective therapy. This reality drives the need for innovative approaches to tackle these persistent health issues effectively.
Intersection of AI and Quantum Computing
The dialogue explores the integration of artificial intelligence (AI) and quantum computing as transformative tools in addressing complex challenges in fields like healthcare and energy. AI utilizes neural networks for data processing and prediction, while quantum computing leverages quantum physics to model molecular interactions more accurately. Both domains can enhance each other; AI can streamline petabyte-scale data into manageable insights, while quantum computing promises to refine precise models of molecular behavior. This integration aims to develop solutions with potentially vast implications across various sectors.
Advancements in AI Technologies
The development of large language models (LLMs) has revolutionized natural language processing by compressing vast datasets into predictive algorithms, significantly enhancing predictive capabilities. Earlier models, like recurrent neural networks (RNNs), were limited in speed and efficiency, but breakthroughs in GPU architectures and a shift to transformer models allowed for far greater computational power and response times. Understanding LLMs also extends to decoding human cognition through learning models, which mirror how children learn by generalizing from individual experiences. This approach enables AI to make coherent predictions based on compressed information, although limitations in the underlying datasets remain.
Quantum Equations and Their Impact
Quantum equations serve as the foundation for modeling various interactions at the atomic and subatomic levels, offering insights into everything from drug development to new battery technologies. By utilizing the principles of quantum mechanics, researchers can create simulations of complex molecular structures that traditional computational methods cannot effectively address. This capability allows for rapid exploration of drug interactions and materials science without the extensive labor and cost associated with physical experimentation. The potential applications of such modeling span across multiple industries, fundamentally shifting how products are developed and pharmaceuticals are tested.
The Future of Drug Development
The future of drug development is poised for transformation through the use of advanced computational methods and quantum modeling, potentially reducing both the time and cost required to bring new therapies to market. Current drug development processes often take years and require billions of dollars, with a 90% likelihood of failure in clinical trials. By leveraging AI and quantum technologies to simulate human trials, the aim is to significantly improve the predictability of outcomes and success rates in clinical settings. This evolution promises to enable precision medicine tailored to individual genetic profiles and health needs—an unprecedented shift from traditional one-size-fits-all approaches.
In this episode, Jack and Peter discuss LQMs which are the next stage of AI beyond LLMs. LQMs are growing in applications in the biggest parts of the economy. Jack and Peter then talk about the synergy of bringing AI and quantum together for global impact.
Recorded on Oct 1st, 2024
Views are my own thoughts; not Financial, Medical, or Legal Advice.
01:57 | The Future of AI and Quantum
31:41 | The Intersection of AI and Brain Imaging
01:04:46 | Decoding the Mysteries of Quantum
Jack Hidary is a leading entrepreneur and visionary at the forefront of AI and quantum technology as the CEO of SandboxAQ, raising over $500m in funding. He is the author of forthcoming book AI or Die and the influential textbook; Quantum Computing: An Applied Approach. A serial entrepreneur, Hidary co-founded and led EarthWeb/Dice from inception to IPO, and co-founded Vista Research and sold it to S&P/McGraw-Hill. Jack studied neuroscience at Columbia University and was a Stanley Fellow in Clinical Neuroscience at the NIH where he applied neural networks to brain imaging.
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