Episodios
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This episode is sponsored by Oracle. AI is revolutionizing industries, but needs power without breaking the bank. Enter Oracle Cloud Infrastructure (OCI): the one-stop platform for all your AI needs, with 4-8x the bandwidth of other clouds. Train AI models faster and at half the cost. Be ahead like Uber and Cohere.
If you want to do more and spend less like Uber, 8x8, and Databricks Mosaic - take a free test drive of OCI at https://oracle.com/eyeonai
In this episode of the Eye on AI podcast, join us as we sit down with Lukas Biewald, CEO & co-founder of Weights & Biases, the AI developer platform with tools for training models, fine-tuning models, and leveraging foundation models.
Lukas takes us through his journey, from his early days at Stanford and his work in natural language processing, to the founding of CrowdFlower and its evolution into a major player in data annotation. He shares the insights that led him to start Weights and Biases, aiming to provide comprehensive tools for the entire machine learning workflow.
Lukas discusses the importance of high-quality data annotation, the shift in AI applications, and the role of reinforcement learning with human feedback (RLHF) in refining large models.
Discover how Weights and Biases helps ML practitioners with data lineage and compliance, ensuring that models are trained on the right data and adhere to regulatory standards. Lukas also highlights the significance of tracking and visualizing experiments, retaining intellectual property, and evolving the company's products to meet industry needs.
Tune in to gain valuable insights into the world of ML Ops, data annotation, and the critical tools that support machine learning practitioners in deploying reliable models.
Don't forget to like, subscribe, and hit the notification bell for more on groundbreaking AI technologies.
Stay Updated:
Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) Preview and Intro
(01:39) Lukas's Background and Career
(04:09) Founding CrowdFlower and Early Machine Learning
(06:59) Current Trends in Machine Learning
(08:46) Reinforcement Learning with Human Feedback (RLHF)
(12:43) Weights and Biases: Origin and Mission
(16:44) Visualizations and Compliance in AI
(22:43) US vs. EU AI Regulations
(25:20) Importance of Experiment Tracking in ML
(28:47) Evolving Products to Meet Industry Needs
(30:38) Prompt Engineering in Modern AI
(33:34) Challenges in Monitoring AI Models
(37:25) Monitoring Functions of Weights and Biases
(39:33) Future of Weights and Biases
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This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more. NetSuite is offering a one-of-a-kind flexible financing program.
Head to https://netsuite.com/EYEONAI to know more.
In this episode of the Eye on AI podcast, join us as we sit down with Jonathan Gillham, founder of Originality AI, a company specializing in AI detection technology.Jonathan delves into the origins of Originality AI, born out of the need to distinguish between human and AI-generated content in the content publishing industry.
Discover how Originality AI uses supervised learning to build sophisticated models that accurately predict the presence of AI in written content, addressing the challenges of AI detection and adversarial prompts.Learn about the diverse use cases of Originality AI, from web publishers to academia, and how the technology helps mitigate the risk of AI-generated spam in the eyes of Google.
Understand the ethical considerations and societal impacts of AI-generated content, and why transparency and labeling are crucial in this evolving landscape. Jonathan also shares insights into the company's business model, growth trajectory, and future developments, including automated fact-checking and enhancing mixed-use case detection.
Tune in to gain valuable insights into how AI detection technology is shaping the future of content publishing and ensuring content authenticity.
Don't forget to like, subscribe, and hit the notification bell for more on groundbreaking AI technologies.
This episode is sponsored by Vanta, The security and compliance platform trusted by more than 7,000 customers.With Vanta, you can unify your security program management with a built-in risk register and reporting, and proactively manage security reviews with AI-powered security questionnaires.
Listeners get $1,000 off Vanta at vanta.com/eyeonai
Stay Updated:
Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
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In this episode of the Eye on AI podcast, join us as we sit down with Peter Cousins, CTO at WorkFusion, a pioneering company in intelligent automation and digital workers for anti-financial crime solutions.
Peter shares how WorkFusion leverages generative AI and classical AI to combat financial crime and enhance compliance.
Discover how AI technologies are revolutionizing sanction screening, adverse media analysis, and KYC processes, reducing manual effort and focusing on high-risk cases.
Learn about the challenges of implementing generative AI in financial services and how a hybrid approach combining human judgment, classical AI, and generative AI ensures accuracy and reliability.
Understand the importance of explainability in AI decisions and how WorkFusion's solutions meet regulatory standards for global financial institutions.
Peter also shares insights into the ongoing arms race against financial criminals and the future of AI in the financial industry.
Tune in to gain valuable insights into how AI is transforming financial services.
Don't forget to like, subscribe, and hit the notification bell for more on groundbreaking AI technologies.
Stay Updated:
Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
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This episode is sponsored by TrialKey.ai, the market leader AI-driven clinical trial design optimization, and predictor that improves trial design and execution. With over 90% accuracy based on precision/recall, TrialKey.ai predicts the success of clinical trials more precisely than any other tool on the market.
Maximize clinical trial success while minimizing costs – book a demo at https://trialkey.ai/ or sign up for free!
In this episode of the Eye on AI podcast, join us as we sit down with Rahul Sonwalkar, founder and CEO of Julius AI, a cutting-edge platform revolutionizing data analysis through AI-powered code generation.
Rahul shares his inspiring journey from learning to code in high school to founding Julius AI, a tool that helps users analyze datasets, create visualizations, and gain insights using natural language. With over half a million users in just eight months, Julius AI is transforming the way we approach data science and coding.
Discover the challenges and solutions in AI code generation, as Rahul delves into the complexities of building an AI-native product focused on accuracy. Learn how Julius AI uses a mixture of models and error recovery processes to provide reliable code generation and execution.
Explore real-world use cases of Julius AI, from financial analysis and biostatistics to web scraping and beyond. Rahul also shares the future vision of programming with AI, where everyone can become a programmer using simple English commands.
Tune in to understand how Julius AI is setting itself apart from competitors like Microsoft's Copilot and other AI coding tools by prioritizing user-focused problem-solving and community engagement. Rahul's insights into the future of AI programming and the expansion plans for Julius AI are not to be missed.
Don't forget to like, subscribe, and hit the notification bell for more insights into the groundbreaking technologies driving the AI revolution.
Stay Updated:
Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) Preview and Introduction to Julius AI
(04:18) Rahul's Background and Journey
(10:34) Development and Vision for Julius AI
(14:37) Challenges in AI Code Generation
(17:07) Acquiring Users and Community Building
(19:29) Solving the Code Generation Problem
(23:33) How Julius AI Works
(33:19) Range of Tasks and Use Cases
(36:02) Comparison with Competitors
(39:49) AI Native Products vs. Integrations
(44:03) Julius AI's Business Model
(44:23) Live Demo of Julius AI
(48:14) Success Stories and User Examples
(51:43) Julius AI's Future Plans and New Features
(54:54) Translating Complex Documents with AI
(56:09) Optimism for the Future of AI Programming
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This episode is sponsored by Vanta, The security and compliance platform trusted by more than 7,000 customers.With Vanta, you can unify your security program management with a built-in risk register and reporting, and proactively manage security reviews with AI-powered security questionnaires.
Listeners get $1,000 off Vanta at vanta.com/eyeonai
In this episode of the Eye on AI podcast, join us for an insightful conversation with Edward Balassanian, CEO and founder of Aimi, a trailblazer in the realm of generative AI music.
Edward takes us through his fascinating journey from engineering and computer science to pioneering a platform that transforms music into a dynamic, interactive service. Aimi’s innovative approach to AI-generated music is redefining the industry by enabling both amateurs and professionals to create high-quality, customized music.
Discover the technical and legal challenges unique to the AI music space, and how Aimi’s bottom-up approach to music creation sets it apart from other AI music initiatives. Edward delves into the complexities of training models with ethically sourced, high-quality data, and explains the importance of maintaining human elements in generative music.
Explore the vast potential of music as a service and how Aimi is revolutionizing industries like gaming, social media, and content creation by integrating seamless, non-repetitive music into various applications. Edward also shares real-world examples and future plans for Aimi, emphasizing the role of AI in amplifying human creativity.
Tune in to understand the transformative impact of AI on music and how Aimi is leading the charge in this exciting frontier.
Don't forget to like, subscribe, and hit the notification bell for more insights into the cutting-edge technologies driving the AI revolution.
This episode is sponsored by Oracle. AI is revolutionizing industries, but needs power without breaking the bank. Enter Oracle Cloud Infrastructure (OCI): the one-stop platform for all your AI needs, with 4-8x the bandwidth of other clouds. Train AI models faster and at half the cost. Be ahead like Uber and Cohere.
If you want to do more and spend less like Uber, 8x8, and Databricks Mosaic - take a free test drive of OCI at https://oracle.com/eyeonai
Stay Updated:
Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
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This episode is sponsored by Oracle. AI is revolutionizing industries, but needs power without breaking the bank. Enter Oracle Cloud Infrastructure (OCI): the one-stop platform for all your AI needs, with 4-8x the bandwidth of other clouds. Train AI models faster and at half the cost. Be ahead like Uber and Cohere.
If you want to do more and spend less like Uber, 8x8, and Databricks Mosaic - take a free test drive of OCI at https://oracle.com/eyeonai
In this episode of the Eye on AI podcast, join us as we dive into the realm of AI quality assurance with Mohamed Elgendy, CEO and co-founder of Kolena.
Discover the intricacies of ensuring robust AI performance as Mohamed shares his journey from a software engineer to leading an AI quality platform. Kolena is setting new standards in AI testing, addressing the non-deterministic nature of machine learning models with a systematic framework for validation.
The conversation navigates the challenges of AI testing, the importance of structured quality assurance, and the collaboration with industry bodies to shape the future of AI standards. Mohamed elaborates on Kolena's innovative approach to both human and automated evaluations, providing comprehensive testing solutions tailored to diverse customer needs.
We also explore real-world use cases and the platform's future plans to make AI testing more accessible and reliable. Mohamed's insights illuminate the path toward achieving high-quality AI systems, ensuring they perform as intended across various applications.
Tune in to understand the advancements propelling AI quality forward and how Kolena is pioneering the way in this crucial aspect of AI development.
Don't forget to like, subscribe, and hit the notification bell for more insights into the technologies driving the AI revolution.
This episode is sponsored by Shopify. Shopify is a commerce platform that allows anyone to set up an online store and sell their products. Whether you’re selling online, on social media, or in person, Shopify has you covered on every base. With Shopify you can sell physical and digital products. You can sell services, memberships, ticketed events, rentals and even classes and lessons.
Sign up for a $1 per month trial period at http://shopify.com/eyeonai
Stay Updated:
Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
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This episode is sponsored by 1Password. 1Password combines industry-leading security with award-winning design to bring private, secure, and user-friendly password management to everyone. Companies lose hours every day just from employees forgetting and resetting passwords. A single data breach costs millions of dollars. 1Password secures every sign-in to save you time and money.
Right now, my listeners get a free 2-week trial at: https://www.1password.com/eyeonai
In this episode of Eye on AI, join us as we explore the cutting-edge world of GPU optimization with Ronen Dar, CTO and co-founder of Run:ai.
Delve into the intricacies of managing and maximizing GPU utilization in an era marked by a severe GPU shortage. Ronen shares his insights on how Run:ai's innovative software is revolutionizing AI infrastructure, making GPU resources more efficient and accessible.
The conversation spans the technical challenges of scaling AI models, the evolution of GPU demands from basic algorithms to complex systems like GPT-4, and the strategic innovations helping enterprises overcome these hurdles. Ronen also reflects on the future of AI development, predicting an exponential increase in demand for computational power and the innovative solutions poised to meet these needs.
Tune in to uncover the technological advancements that are propelling AI capabilities forward and shaping the future of AI deployment across industries.
Don't forget to like, subscribe, and hit the notification bell for more deep dives into the technologies that are transforming our digital landscape.
Stay Updated:
Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) Preview
(02:46) Introducing Ronen Dar
(04:00) Ronen's background and RunAI's origins
(09:13) The need for efficient GPU utilization in AI
(13:14) RunAI's core value proposition
(15:33 RunAI's deployment model
(18:55) The growing demand for compute power and GPUs
(22:08) Challenges in scaling models beyond 70 billion parameters
(27:52) RunAI's open platform approach
(31:00) Addressing latency and throughput challenges in inference
(34:36) RunAI's integration with AI tools and frameworks
(39:37) Reducing the cost of inference with GPU virtualization
(43:54) Challenges in auto-scaling for large language models
(47:06) The future of the GPU market and demand
(50:49) NVIDIA's dominance and the role of competitors like Cerebras
(54:20) RunAI's global customer base and demand patterns
(57:52) NVIDIA's vision and the evolution of GPU architectures
(01:01:25) Compute requirements for the metaverse and future AI applications
(01:03:56) Concerns about power consumption and carbon footprint
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This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more.
NetSuite is offering a one-of-a-kind flexible financing program. Head to https://netsuite.com/EYEONAI to know more.
Unlock the secrets of clinical trial predictions with Saurabh Jain and Damon Rasheed from Opyl & TrialKey.ai on this episode of Eye on AI.
In today’s discussion, delve into how TrialKey's pioneering AI model can predict the success of clinical trials with astonishing accuracy—about 90%. Learn about the innovative use of over 400,000 past trials to enhance the precision and efficiency of new pharmaceutical trials. Saurabh and Damon share how their technology not only predicts outcomes but also optimizes trial design, saving substantial time and resources in the drug development process.
The episode also covers the sophisticated data processing techniques employed by TrialKey, including natural language processing to extract vital variables from complex datasets, and the strategic use of these insights to improve trial designs. Discover the implications of poorly designed trials and how AI can revolutionize their structure for better success rates.
Tune in to gain a deeper understanding of how AI and machine learning are transforming the pharmaceutical landscape, making clinical trials more predictive and efficient. Saurabh and Damon’s expertise offers a glimpse into the future of medical research and investment, emphasizing the role of AI in enhancing decision-making and resource allocation in healthcare.
Remember to like, subscribe, and hit the notification bell to keep up with the latest innovations and discussions reshaping the future of artificial intelligence and healthcare.
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Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
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Dive into the cutting-edge realm of neuromorphic computing with André van Schaik, a professor of electrical engineering at the Western Sydney University, and director of the International Centre for Neuromorphic Systems, in Penrith, New South Wales, Australia
In this episode of Eye on AI, André unveils the capabilities of DeepSouth, an innovative brain-scaled neuromorphic computing system designed to simulate up to 100 billion neurons in real time. Discover how DeepSouth leverages spiking neurons and synapses to process information more efficiently than traditional AI models, and how this technology could transform our understanding of brain computation and unlock new AI architectures.
The conversation explores the unique hardware setup of DeepSouth, utilizing FPGAs (Field-Programmable Gate Arrays) for a flexible, reconfigurable approach that mimics the asynchronous and spiking communication of biological neurons.
André discusses the initial testing phase focusing on balanced excitation-inhibition networks, reflecting common neural activities in the human cortex, and outlines the system's potential to facilitate large-scale simulations previously unachievable due to computational constraints.
André's insights are invaluable for anyone interested in the intersection of neuroscience, artificial intelligence, and computational technology.
Don't forget to like, subscribe, and hit the notification bell to stay updated on the latest breakthroughs and discussions in the world of artificial intelligence.
This episode is sponsored by Oracle. AI is revolutionizing industries, but needs power without breaking the bank. Enter Oracle Cloud Infrastructure (OCI): the one-stop platform for all your AI needs, with 4-8x the bandwidth of other clouds. Train AI models faster and at half the cost. Be ahead like Uber and Cohere.
If you want to do more and spend less like Uber, 8x8, and Databricks Mosaic - take a free test drive of OCI at https://oracle.com/eyeonai
Stay Updated:
Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) Preview and Introduction
(02:19) André van Schaik's background
(03:39) What is neuromorphic computing?
(05:45) Differences between Von Neumann and neuromorphic architectures
(09:27) How DeepSouth simulates neurons
(12:20) What are FPGAs?
(16:42) Current status of DeepSouth
(19:04) Running neural network architectures on DeepSouth
(22:33) DeepSouth as an open source, commercial hardware
(24:40) Potential for cheaper model training
(28:35) Number of neurons and connections in DeepSouth
(30:01) Power consumption comparison
(34:21) Mimicking brain structures in DeepSouth
(35:42) André van Schaik's background in neuroscience
(39:12) Goals of understanding brain activity vs solving problems
(41:44) Interest from AI research community
(43:03) Summary of DeepSouth's goals
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This episode is sponsored by 1Password. 1Password combines industry-leading security with award-winning design to bring private, secure, and user-friendly password management to everyone. Companies lose hours every day just from employees forgetting and resetting passwords. A single data breach costs millions of dollars. 1Password secures every sign-in to save you time and money.
Right now, my listeners get a free 2-week trial at: www.1password.com/eyeonai
Explore the world of AI development with Will Falcon, creator of PyTorch Lightning and founder of Lightning AI.
In this episode of Eye on AI, Will takes us through the groundbreaking journey of Lightning Studio, a revolutionary cloud-based platform that's reshaping how AI tools and frameworks are integrated and scaled. From his unique start in the US military to leading AI innovation, Will offers a comprehensive look at the evolution of machine learning technologies that simplify and accelerate the deployment of AI models.
The discussion delves into the creation of PyTorch Lightning, highlighting its role in democratizing AI development by structuring code and enabling scalability across thousands of machines. Will also outlines the pivotal shift from traditional coding practices to a streamlined, cloud-based environment, making advanced AI tools accessible to a global community of developers.
Tune in as we uncover the layers of technology that drive AI forward and discuss the future of AI development platforms.
Will's insights are crucial for anyone interested in the intersection of AI, software engineering, and cloud infrastructure.
Make sure to hit the like button and subscribe for more insights into the technologies shaping our world.
This episode is sponsored by Oracle. AI is revolutionizing industries, but needs power without breaking the bank. Enter Oracle Cloud Infrastructure (OCI): the one-stop platform for all your AI needs, with 4-8x the bandwidth of other clouds. Train AI models faster and at half the cost. Be ahead like Uber and Cohere.
If you want to do more and spend less like Uber, 8x8, and Databricks Mosaic - take a free test drive of OCI at https://oracle.com/eyeonai
Stay Updated:
Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
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This episode is sponsored by 1Password. 1Password combines industry-leading security with award-winning design to bring private, secure, and user-friendly password management to everyone. Companies lose hours every day just from employees forgetting and resetting passwords. A single data breach costs millions of dollars. 1Password secures every sign-in to save you time and money.
Right now, my listeners get a free 2-week trial at: www.1password.com/eyeonai
Dive into the world of autonomous driving with Dragomir Anguelov, Vice President, Head of Research at Waymo, in this captivating episode of Eye on AI.
Drago offers a profound exploration into the technical and operational advancements driving the future of autonomous vehicles. With his rich background at Google and now at Waymo, Drago provides an insider’s view on the evolution of machine learning technologies and their pivotal role in developing self-driving cars that are not only intelligent but also safe and reliable.
This conversation spans the inception of large neural networks for image understanding to the intricate deployment of robotaxis in urban environments. Drago details the challenges of scaling these complex systems across different cities and the breakthroughs that have made autonomous driving a tangible reality in places like Phoenix and San Francisco.
Drago’s insights are invaluable for anyone interested in the convergence of AI, robotics, and transportation.
If you are fascinated by the advancements being made in the autonomous driving space and how they could transform our daily lives, make sure to hit the like button and subscribe for more deep dives into the technologies shaping our future.
Stay Updated:
Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
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This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more.
NetSuite is offering a one-of-a-kind flexible financing program. Head to https://netsuite.com/EYEONAI to know more.
Venture into the future of AI with Nick Bostrom, a philosopher at the University of Oxford known for his work on existential risk, the anthropic principle, human enhancement ethics, whole brain emulation, superintelligence risks, and the reversal test.
On episode #181 of Eye on AI, Nick Bostrom, explores the existential and societal implications of AI reaching and surpassing human capabilities. As we contemplate a world where all tasks are performed by AI, Nick discusses the potential for a 'technologically solved' society and its impact on human purpose and motivation.
Join us as Nick provides insights into his latest book, "Deep Utopia," where he questions how humans will find meaning when artificial intelligence handles every aspect of labor and creativity. He elaborates on the risks, ethical considerations, and philosophical dilemmas we face as AI continues to evolve at an unprecedented pace.
This episode is an essential exploration of the shifts AI may bring to our societal structures, labour markets, and individual lives.
If you find yourself intrigued by the philosophical journey into AI's potential to redefine humanity, hit the like button and subscribe for more thoughtful discussions on the future landscapes shaped by artificial intelligence.
Stay Updated:
Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) Introduction and the Concept of a 'Solved World'
(03:05) Nick Bostrom's Background
(06:06) Exploring the Anthropomorphism in Modern AI
(08:02) Predictions and the 'Hockey Stick' Graph
(10:13) AI Safety and Public Perception
(12:58) Deep Utopia and the Search for Meaning
(15:46) Life in a Technologically Mature World
(18:17) Existential Malaise in Modern Society
(20:43) The Potential of Technological Maturity
(23:51) Philosophical Implications of a Solved World
(28:20) Engineering Happiness and Neurological Adjustments
(32:18) Remaining Human Tasks and Cultural Values
(35:45) The Future of Humanity
(47:03) Closing Remarks and Sponsor Message
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This episode is sponsored by Oracle. AI is revolutionizing industries, but needs power without breaking the bank. Enter Oracle Cloud Infrastructure (OCI): the one-stop platform for all your AI needs, with 4-8x the bandwidth of other clouds. Train AI models faster and at half the cost. Be ahead like Uber and Cohere.
If you want to do more and spend less like Uber, 8x8, and Databricks Mosaic - take a free test drive of OCI at https://oracle.com/eyeonai
Explore the journey of AI within the technology industry with Thomas Lah in episode #180 of Eye on AI.This dialogue features Thomas Lah, Executive Director of the Technology and Services Industry Association (TSIA), as he delves into the influence of AI on technology companies and their operating models.
In this episode, Thomas offers a compelling narrative on how AI is being integrated into the fabric of technology businesses, altering the landscape of innovation and competition. Discover the intricacies of AI adoption strategies, the challenges of data management, and the evolution of business models in response to AI advancements. From Microsoft to Salesforce, uncover how leading tech giants are harnessing AI to redefine efficiency, creativity, and growth.
Dive deep into the core of TSIA's research, unveiling the pivotal role of benchmarking and operational research in navigating the AI revolution. Thomas sheds light on the actionable insights and best practices that are guiding technology companies through this era of rapid technological change.
Whether you're intrigued by the operational shifts AI is catalyzing in the tech sector, or you're keen on understanding the future directions of AI-driven business models, this episode is a treasure trove of knowledge.
Remember to give us a thumbs up on YouTube if this deep dive into the AI transformation within tech companies enriches your understanding.
Subscribe for more insights into how AI is sculpting the technological landscapes of tomorrow.
Stay Updated:Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) Preview and Introduction
(01:19) AI’s Impact on Tech Companies' Internal Processes
(04:22) Thomas Lah’s Background and Contributions to Tech Services
(07:49) Future Trends: AI Agents and Physical World Actions
(10:12) Real-World AI Use Cases and ROI in Tech Companies
(13:44) The Rapid Maturation of AI Tools and Its Impact
(16:48) The Right Timing for AI Adoption and Investment
(20:09) AI Advantaged vs. Severely Lagged Tech Companies
(25:31) Addressing the Consumption Gap with AI in Education
(32:17) AI in Operations
(38:35) The Evolution of AI Agents and Co-Pilots in Tech Services
(45:12) Centralizing and Rationalizing Data for AI Readiness
(48:31) Cultural and Technical Shifts Required for AI Integration
(51:06) AI's Impact on Business Models and Headcount Reductions -
Dive into the heart of the AI race between the US and China with Craig Smith in episode #179 of Eye on AI.
This discussion features Ylli Bajraktari, the President and CEO of the Special Competitive Studies Project, as he unveils the strategic maneuvers and policies shaping the future of artificial intelligence on a global scale.
In this episode, Ylli provides an in-depth analysis of the current state of AI development and competition, illuminating the actions taken by both superpowers to secure their position at the forefront of technological advancement. From the pivotal CHIPS Act to the formation of national AI champions, learn how these initiatives are influencing the global AI landscape.
Uncover the essence of the Special Competitive Studies Project and its mission to ensure the US retains its edge in AI through a comprehensive, nation-wide approach. Ylli discusses the critical importance of AI in national security, the transformative potential of the OffsetX strategy, and the implications of the National Plan for Microelectronics.
Whether you're fascinated by the strategic dynamics of international technology competition or passionate about the impact of AI on society and security, this episode offers invaluable insights into the challenges and opportunities ahead.
Don't forget to rate us on Apple Podcast and Spotify if you're inspired by the strategic discourse on AI's role in shaping the future.
This episode is sponsored by Shopify. Shopify is a commerce platform that allows anyone to set up an online store and sell their products. Whether you’re selling online, on social media, or in person, Shopify has you covered on every base. With Shopify you can sell physical and digital products. You can sell services, memberships, ticketed events, rentals and even classes and lessons.
Sign up for a $1 per month trial period at http://shopify.com/eyeonai
Stay Updated:
Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) Preview
(00:46) Introducing Ylli Bajraktari
(04:21) Origins of the Special Competitive Studies Project
(09:14) Influence of National Security Commission on AI
(14:05) What is the OffsetX Strategy
(15:42) US vs. China: The AI Competition Landscape
(19:00) Post-Gen AI Period and Its Impact
(21:03) The Future of AI Research
(24:41) Reorganizing Government Institutions for the AI Era
(32:48) Understanding Lethal Autonomous Weapon Systems
(35:05) The Concept of Counter-Autonomy
(39:04) Addressing the Threat from China’s Semiconductor Strategy
(44:54) Preview of the Special Competitive Studies Project's AI Expo
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This episode is sponsored by Oracle. AI is revolutionizing industries, but needs power without breaking the bank. Enter Oracle Cloud Infrastructure (OCI): the one-stop platform for all your AI needs, with 4-8x the bandwidth of other clouds. Train AI models faster and at half the cost. Be ahead like Uber and Cohere.
If you want to do more and spend less like Uber, 8x8, and Databricks Mosaic - take a free test drive of OCI at https://oracle.com/eyeonai
Join host Craig Smith in episode #178 of Eye on AI for an enlightening conversation with Terry Sejnowski, President of the NeurIPS Foundation and is the Francis Crick Professor at the Salk Institute for Biological Studies where he directs the Computational Neurobiology Laboratory
In this episode, Terry shares his unique insights into the evolution of neural networks, the monumental impact of models like GPT-4, and the intricate relationship between AI technologies and societal norms. Learn about the future trajectory of AI development, as Terry highlights the importance of integrating human brain development aspects into AI to foster models that better understand and integrate into human culture.
Discover Terry's perspective on the role of reinforcement learning in AI, the challenges of aligning AI with ethical considerations, and the potential of neuromorphic engineering to revolutionize energy-efficient computing. This discussion also touches on the implications of AI in reshaping industries, science, and the global workforce.
An essential listen for those fascinated by the ethical dimensions of AI, the potential of neuroscience to inform AI development, and the broader societal impacts of technological advancement.
If you're drawn to the complexities of AI and its potential to redefine our future, don't forget to rate us on Apple Podcast and Spotify.
Stay Updated:
Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) Introduction to Terry Sejnowski
(01:54) Bridging Computational Neuroscience with AI Development
(05:24) Biological Principles in AI: Learning and Adaptation
(07:07) The Crucial Role of Reinforcement Learning in AI
(10:12) Breakthroughs in AI: Scaling Models and Language Processing
(13:38) The Rapid Pace of AI Evolution: Implications and "AI Time"
(16:58) Ethical Considerations and AI Alignment Challenges
(20:23) Neuromorphic Engineering and Energy Efficiency
(25:42) Real-world Applications: AI's Expanding Role in Society
(29:04) The Developmental Approach: Training AI with Human Nuances
(33:32) The Impact of AI on Science and Discovery
(40:19) AI Education and Lifelong Learning: Overcoming Barriers
(43:20) MOOCs and the Democratization of Learning in the AI Era
(47:08) Balancing Innovation and Safety in the Accelerating AI Landscape
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Join host Craig Smith on episode #177 of Eye on AI as he explores the cutting-edge world of generative models in artificial intelligence with Björn Ommer, a visionary AI researcher and Head of Computer Vision & Learning Group at Ludwig Maximilian University of Munic.
In this episode, Björn delves into the fascinating inner workings of diffusion models, shedding light on the pivotal role these models play in advancing technology and society. Discover the groundbreaking development of stable diffusion, a key innovation by Bjorn's team that is setting new standards in the democratization of AI technology.
Learn about the challenges and solutions in making AI accessible on consumer hardware, ensuring that the power of generative AI is not confined to well-funded organizations but available to all. Bjorn shares his expert insights on the balance between open-source innovation and proprietary development, emphasizing the societal implications of generative AI.
This episode is an essential listen for anyone intrigued by the potential of AI to transform our understanding of the visual world, the importance of accessibility in technology, and the future of AI development.
If you're captivated by the evolution of AI and the profound impact of generative models like stable diffusion, don't forget to rate us on Apple Podcast and Spotify.
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Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) Preview and Introduction
(01:38) Bjorn Omer's Journey into AI
(03:03) The Evolution of AI Before Deep Learning
(06:38) Democratizing AI with Stable Diffusion
(09:45) Explaining Diffusion Models
(13:40) Challenges of AI on Consumer Hardware
(17:05) The Binding Problem in Vision Research
(22:27) Mechanisms in Stable Diffusion: Attention and Diffusion Processes
(26:09) Open Source vs. Proprietary AI Models
(30:16) Making Compute Resources More Accessible
(34:30) Reducing Compute Requirements in AI Models
(38:52) The Concept of World Models in AI Research
(41:50) The Future of AI and the Fallacy of Scaling
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Join host Craig Smith on episode #176 of Eye on AI as he dives deep into the realm of robotic artificial intelligence with Sergey Levine, associate professor in the Department of Electrical Engineering and Computer Sciences at UC Berkeley.
In this episode, Sergey unveils the latest advancements in AI control of robots, exploring the implications of reinforcement learning and the concept of embodied AI.
Discover how Sergey's research is pushing the boundaries of AI, enabling robots to learn manipulation skills and generalize across diverse tasks, transforming the potential of home robots and beyond.
Sergey also shares insights into the RTX project, an ambitious collaboration designed to achieve remarkable generalization across different robot morphologies, enhancing robots' ability to perform language-conditioned manipulation tasks.
If you're fascinated by the intersection of AI, robotics, and the quest for creating adaptable, generalizable machines that promise to revolutionize our interaction with technology, this episode is a must-listen.
Remember to rate us on Apple Podcast and Spotify if this episode ignites your interest in the dynamic field of robotic AI and the visionary work of Sergey Levine.
Stay Updated:
Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) Preview and Introduction to Home Robots and AI in Robotics
(01:43) World Models and Language Models in Robotics
(04:01) The Challenge of Learning-Based Control and Data Utilization
(06:05) RTX Project: Generalizing Controllers Across Different Robots
(10:09) Uniformity in Model Architecture Across Labs
(13:50) Introduction of RT1 and RT2 Models for Robot Control
(16:06) The Future of Robotic Control Research and Architecture
(18:49) The Impact of Hardware Development on Robotics
(22:15) Advances in Controller and AI Model Development
(26:21) Planning and Acting with Vision Language Models
(31:38) The Proprietary vs. Open-Source Debate in Robotics
(36:23) The Future of Commercial and Open Source Robotics Applications
(40:59) The State of Robotics Research in China
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Join host Craig Smith on episode #175 of Eye on AI as he engages in an enlightening conversation with Aravind Srinivas, co-founder and CEO of Perplexity AI.
In this episode, Aravind delves into the intricacies of Perplexity AI, a groundbreaking conversational answer engine designed to redefine the landscape of online search.
Discover how Perplexity AI aims to challenge the status quo of search engines by providing direct answers grounded in factual sources, contrasting with the traditional method of sifting through links.
Learn about the challenges and breakthroughs in developing a search engine that combines the reliability of verified information with the intuitive interaction of conversational AI.
Dive into the technical and philosophical nuances of building a search platform that stands to transform how we access information online. Explore the intersection of AI, entrepreneurship, and the relentless pursuit of innovation that drives the team at Perplexity AI.
Remember to rate us on Apple Podcast and Spotify if this episode piques your curiosity about the evolving interface of AI and information retrieval!"
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Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) Introduction to Perplexity AI with Aravind Srinivas
(02:26) Aravind Srinivas's Background
(04:17) Early Influences and The Shift to Generative AI
(06:30) Ideation and Entrepreneurial Leap to Start Perplexity AI
(09:44) Challenges of Building a New AI-Powered Search Engine
(13:53) The Journey from Idea to Market with Perplexity AI
(17:34) Overcoming Technical and Market Challenges
(23:44) Disrupting Traditional Search with AI Innovation
(30:08) Building Perplexity's AI and Indexing Technology
(37:13) The Future of Web Indexing and AI's Role
(41:29) Navigating Legal and Ethical Aspects of AI Search
(52:39) Concluding Thoughts and The Road Ahead for Perplexity AI
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Join host Craig Smith on episode #174 of Eye on AI as he sits down with Tianmin Shu, Assistant Professor at Johns Hopkins University in both the Computer Science and Cognitive Science departments.
In this episode, Tianmin unravels the fascinating concept of world models and their intersection with artificial and human intelligence. Discover how these models, rooted in cognitive science, offer a blueprint for understanding our environment and enhancing AI's ability to interpret, predict, and interact within it.
Explore the intricate dance between AI and cognitive science as Tianmin shares insights from his rich academic journey from UCLA to MIT, leading to his innovative work on social aspects of AI and the development of agents capable of human-level cooperation and understanding.
Dive deep into the discussion on the integration of world models with large language models, and how this synergy could revolutionize AI's predictive capabilities and reasoning, paving the way for more intuitive and interactive systems across various domains, especially in household environments.
Don't miss this riveting exploration of the next frontier in artificial intelligence research and its potential to transform our interaction with technology.
Remember to rate us on Apple Podcast and Spotify if you're intrigued by the insights shared in this episode!
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Right now, my listeners get a free 2-week trial at: 1password.com/eyeonaiStay Updated:
Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
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Join host Craig Smith for episode #173 of Eye on AI, featuring a groundbreaking discussion with Vincent Vanhoucke, distinguished Scientist, and Senior Director for Robotics at Google DeepMind.
In this episode, Vincent dives into the cutting-edge world of robotic control with RT2, DeepMind's innovative robotic transformer system. Learn how RT2's integration of visual perception, natural language understanding, and action planning is pushing the boundaries of robotics, enabling machines to reason and act with unprecedented flexibility and intelligence.
Discover the challenges, technological marvels, and future prospects of robotics as we explore how DeepMind is shaping the future of AI-driven automation.
Tune in to uncover the potential of RT2 in transforming robotic capabilities and the implications for diverse applications across industries.
Don't forget to rate us on Apple Podcast and Spotify if you find the episode insightful!
This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more.Download NetSuite’s popular KPI Checklist, designed to give you consistently excellent performance - absolutely free at https://netsuite.com/EYEONAI
Stay Updated:Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) Preview and Introduction
(04:15) Vincent's Background and DeepMind's Robotics
(06:04) RT2 Architecture Overview
(09:06) Semantic Planning in Robotics
(12:33) Reinforcement Learning and Mitigating Model Hallucinations
(15:47) World Models and Planning
(19:29) Integrating Sensory Data for Planning
(24:08) The Future of Robotic Control and RT2
(27:35) RT2 Open Source and Hardware Integration - Mostrar más
