"The Cognitive Revolution"

Latest Episodes:

The Adversarial Mind: Defeating AI Defenses with Nicholas Carlini of Google DeepMind Feb 27, 2025

Show notes

In this episode, security researcher Nicholas Carlini of Google DeepMind delves into his extensive work on adversarial machine learning and cybersecurity. He discusses his pioneering contributions, which include developing attacks that have challenged the defenses of image classifiers and exploring the robustness of neural networks. Carlini details the inherent difficulties of defending against adversarial attacks, the role of human intuition in his work, and the potential of scaling attack methodologies using language models. He also addresses the broader implications of open-source AI and the complexities of balancing security with accessibility in emerging AI technologies.

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Shopify: Shopify is revolutionizing online selling with its market-leading checkout system and robust API ecosystem. Its exclusive library of cutting-edge AI apps empowers e-commerce businesses to thrive in a competitive market. Cognitive Revolution listeners can try Shopify for just $1 per month at https://shopify.com/cognitive

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RECOMMENDED PODCAST: Second OpinionJoin Christina Farr, Ash Zenooz and Luba Greenwood as they bring influential entrepreneurs, experts and investors into the ring for candid conversations at the frontlines of healthcare and digital health every week.

Spotify: https://open.spotify.com/show/0A8NwQE976s32zdBbZw6bv

Apple: https://podcasts.apple.com/us/podcast/second-opinion-with-christina-farr-ash-zenooz-md-luba/id1759267211

YouTube: https://www.youtube.com/@SecondOpinionwithChristinaFarr

SOCIAL LINKS:

Website: https://www.cognitiverevolution.ai

Twitter (Podcast): https://x.com/cogrev_podcast

Twitter (Nathan): https://x.com/labenz

LinkedIn: https://linkedin.com/in/nathanlabenz/

Youtube: https://youtube.com/@CognitiveRevolutionPodcast

Apple: https://podcasts.apple.com/de/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431

Spotify: https://open.spotify.com/show/6yHyok3M3BjqzR0VB5MSyk

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New Jersey’s AI Moonshot: Governor Phil Murphy on Partnerships, Progress, and Preparedness Feb 22, 2025

Show notes

Phil Murphy, the Governor of New Jersey, joins Nathan to discuss his proactive approach to AI and its potential transformative impact on society. Governor Murphy shares insights from a pivotal dinner with AI thought leaders that spurred New Jersey's ambitious AI initiatives, including the establishment of the NJ AI Hub with Princeton University. He elaborates on current applications, like the AI assistant used by state employees, and discusses broader implications for local governance, workforce training, and public services. Murphy touches upon ethical considerations, potential job displacement, and regulatory challenges, emphasizing the need for a balance between innovation and fairness. The conversation also explores international competition, particularly with China, and reflects on the rapid pace of AI advancement.

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RECOMMENDED PODCAST: Second Opinion

Join Christina Farr, Ash Zenooz and Luba Greenwood as they bring influential entrepreneurs, experts and investors into the ring for candid conversations at the frontlines of healthcare and digital health every week.

Spotify: https://open.spotify.com/show/0A8NwQE976s32zdBbZw6bv

Apple: https://podcasts.apple.com/us/podcast/second-opinion-with-christina-farr-ash-zenooz-md-luba/id1759267211

YouTube: https://www.youtube.com/@SecondOpinionwithChristinaFarr

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Inference Scaling, Alignment Faking, Deal Making? Frontier Research with Ryan Greenblatt of Redwood Research Feb 20, 2025

Show notes

In this episode, Ryan Greenblatt, Chief Scientist at Redwood Research, discusses various facets of AI safety and alignment. He delves into recent research on alignment faking, covering experiments involving different setups such as system prompts, continued pre-training, and reinforcement learning. Ryan offers insights on methods to ensure AI compliance, including giving AIs the ability to voice objections and negotiate deals. The conversation also touches on the future of AI governance, the risks associated with AI development, and the necessity of international cooperation. Ryan shares his perspective on balancing AI progress with safety, emphasizing the need for transparency and cautious advancement.

Ryan's work (with co-authors at Anthropic) on Alignment Faking: https://www.lesswrong.com/posts/njAZwT8nkHnjipJku/alignment-faking-in-large-language-models

Ryan's work on striking deals with AIs: https://www.lesswrong.com/posts/7C4KJot4aN8ieEDoz/will-alignment-faking-claude-accept-a-deal-to-reveal-its

Ryan's critique of Anthropic's RSP work: https://www.lesswrong.com/posts/6tjHf5ykvFqaNCErH/anthropic-s-responsible-scaling-policy-and-long-term-benefit?commentId=NyqcvZifqznNGKxdT

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Apple: https://podcasts.apple.com/us/podcast/id1786227593

Spotify: https://open.spotify.com/show/5hJzs0gDg6lRT6r10mdpVg

YouTube: https://www.youtube.com/@ModernRelationshipsPod

An Application-Free Future? Speaking Directly to Data with illumex CEO Inna Tokarev Sela Feb 15, 2025

Show notes

In this episode, Inna Tokarev Sela, CEO of illumex, delves into the latest advancements in AI and data management. She discusses the foundational vision behind illumex, a company she started in 2021 to revolutionize the way businesses interact with data. Inna explains illumex's approach to creating application-free futures for knowledge workers by utilizing metadata to automate context and reasoning, ensuring efficient and secure data handling. The conversation covers illumex’s techniques for integrating business logic without directly accessing sensitive data, challenges faced in AI implementation, and the future of data analytics. Inna also offers insights into preparing individuals for evolving job roles in the tech industry, touching on academic research and real-world applications.

Check out illumex at: https://illumex.ai/

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CHAPTERS:

(00:00) Teaser

(00:38) About the Episode

(03:54) Introduction to the Cognitive Revolution

(04:42) The Vision Behind illumex

(05:33) Application-Free Future

(10:47) Demonstration of illumex Capabilities

(13:39) Understanding Enterprise Data

(15:35) Automated Ontology Creation (Part 1)

(19:28) Sponsors: Oracle Cloud Infrastructure (OCI) | NetSuite

(22:08) Automated Ontology Creation (Part 2)

(23:39) Challenges and Solutions in Data Mapping (Part 1)

(29:18) Sponsors: Shopify

(30:38) Challenges and Solutions in Data Mapping (Part 2)

(40:18) Evolution of AI Models in Business Context

(51:13) Illumex: The Perfect Platform for Control Freaks

(52:32) Building Trust and Governance in Data Analytics

(55:21) The Role of Analysts in Data-Driven Decision Making

(55:55) Addressing Underutilized Data and BI Dashboards

(57:59) Challenges in Data Accuracy and Anomalies

(59:05) Managing Data Volume and Context Windows

(01:01:02) Semantic Entities and Workflow Validation

(01:03:24) Metadata-Based Business Models

(01:09:04) The Future of Data Management and Integration

(01:11:55) User Personas and Self-Service Evolution

(01:13:58) Pricing Models for Enterprise SaaS Products

(01:17:11) The Future of Data Analytics Careers

(01:21:24) Academic Research and Industry Inspiration

(01:26:39) AI Education for the Next Generation

(01:28:39) Outro

PRODUCED BY:

https://aipodcast.ing

SOCIAL LINKS:

Website: https://www.cognitiverevolution.ai

Twitter (Podcast): https://x.com/cogrev_podcast

Twitter (Nathan): https://x.com/labenz

LinkedIn: https://linkedin.com/in/nathanlabenz/

Youtube: https://youtube.com/@CognitiveRevolutionPodcast

Apple: https://podcasts.apple.com/de/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431

Spotify: https://open.spotify.com/show/6yHyok3M3BjqzR0VB5MSyk

Claude Cooperates! Exploring Cultural Evolution in LLM Societies, with Aron Vallinder & Edward Hughes Feb 12, 2025

Show notes

In this episode, Edward Hughes, researcher at Google DeepMind, and Aron Vallinder, an independent researcher and PIBBSS fellow discuss their pioneering research on cultural evolution and cooperation among large language model agents. The conversation delves into the study's design, exploring how different AI models exhibit cooperative behavior in simulated environments, the implications of these findings for future AI development, and the potential societal impacts of autonomous AI agents. They elaborate on their experimental setup involving different LLMs like Claude, Gemini 1.5, and GPT-4.0 in a cooperative donor-recipient game, shedding light on how various AI models handle cooperation and their potential societal impacts. Key points include the importance of understanding externalities, the role of punishment and communication, and future research directions involving mixed-model societies and human-AI interactions. The episode invites listeners to engage in this fast-growing field, stressing the need for more hands-on research and empirical evidence to navigate the rapidly evolving AI landscape.

Link to Aron & Edward's research paper "Cultural Evolution of Cooperation among LLM

Agents"

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CHAPTERS:

(00:00) Teaser

(00:42) About the Episode

(03:26) Introduction

(03:40) The Rapid Evolution of AI

(04:58) Human Cooperation and Society

(07:03) Cultural Evolution and Stories

(08:39) Mechanisms of Cultural Evolution (Part 1)

(20:56) Sponsors: Oracle Cloud Infrastructure (OCI) | NetSuite

(23:35) Mechanisms of Cultural Evolution (Part 2)

(27:07) Experimental Setup: Donor Game (Part 1)

(37:35) Sponsors: Shopify

(38:55) Experimental Setup: Donor Game (Part 2)

(44:32) Exploring AI Societies: Claude, Gemini, and GPT-4

(45:50) Striking Graphical Differences

(48:08) Experiment Results and Implications

(50:54) Prompt Engineering and Cooperation

(57:40) Mixed Model Societies

(01:00:35) Future Research Directions

(01:03:10) Human-AI Interaction and Influence

(01:05:20) Complexifying AI Games

(01:18:14) Evaluations and Feedback Loops

(01:20:50) Open Source and AI Safety

(01:23:23) Reflections and Future Work

(01:30:04) Outro

Software Supernova: Lovable's "Superhuman Full Stack Engineer" to Transform Idea to App in Seconds Feb 09, 2025

Show notes

In this episode of the Cognitive Revolution, founder Anton Osika and AI engineer Isaak Sundeman from Lovable.dev, discuss their AI coding platform that allows users to describe software in natural language and have it built by AI. They delve into the nuances of using AI for full-stack engineering and the future of human coding. During the episode, they demonstrate building a product comparison app, discussing the integration of AI, backend functionalities, and handling complex API interactions. They also talk about the challenges and opportunities in UI design, the role of AI in improving user experiences, and the potential future impacts of AI on software development. The conversation touches on the phenomenal growth and scaling of Lovable.dev, their strategies for managing context and dependencies in large codebases, and their vision and roadmap for the future of AI-powered application development.

Checkout lovable here: http://lovable.dev

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CHAPTERS:

(00:00) Teaser

(00:56) About the Episode

(03:57) Introduction and Guest Welcome

(04:21) Overview of Lovable.dev

(04:53) Building a Product Comparison App

(05:19) Starting the Coding Process

(05:46) Defining the App's Functionality

(08:21) Setting Up the Backend

(13:20) Future of Software and AI (Part 1)

(17:40) Sponsors: Oracle Cloud Infrastructure (OCI) | NetSuite

(20:20) Future of Software and AI (Part 2)

(23:44) Challenges in AI Development (Part 1)

(32:48) Sponsors: Shopify

(34:07) Challenges in AI Development (Part 2)

(39:08) Integrating External APIs

(54:01) Helping Out and Initial Fixes

(54:18) Progress with Documentation and API Updates

(55:21) AI Analysis and Product Comparison

(57:33) Building AI Applications: Challenges and Solutions

(59:02) Understanding AI Agency and User Experience

(01:24:27) Scaling and User Growth

(01:29:03) Future Directions and Hiring

(01:30:55) Final Thoughts and Advice

(01:32:06) Outro

PRODUCED BY:

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Software Supernova: Bolt.new - The AI Web App Developer In Your Browser Feb 09, 2025

Show notes

In this episode of The Cognitive Revolution, Eric Simons, founder and CEO of StackBlitz, discusses the transformative impact of AI on the software development industry. Eric delves into the vision and technologies behind Bolt (bolt.new), StackBlitz's groundbreaking AI-driven platform, which enables users to build full-stack applications with ease. He talks about the future of AI in coding, the balance between human oversight and AI autonomy, and the infrastructure that powers Bolt's capabilities. With the platform growing rapidly and generating millions in ARR, StackBlitz is pushing the boundaries of what AI can achieve in web development.

Checkout bolt here: http://bolt.new

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CHAPTERS:

(00:00) Teaser

(00:42) About the Episode

(03:33) Introduction to Eric Simons and StackBlitz

(04:04) Eric's AI Worldview

(07:56) The Future of Software Development

(12:16) Target Customers and Use Cases (Part 1)

(15:41) Sponsors: Oracle Cloud Infrastructure (OCI) | NetSuite

(18:21) Target Customers and Use Cases (Part 2)

(18:40) Challenges and Solutions in AI-Driven Development

(25:57) Success Metrics and Technological Innovations (Part 1)

(32:15) Sponsors: Shopify

(33:35) Success Metrics and Technological Innovations (Part 2)

(39:20) Demo of Bolt's Capabilities

(49:02) AI Agent Integration

(49:13) Cost-Effective Development

(49:30) Non-Technical Founders

(50:02) Pricing Model Insights

(53:39) Open Source and Local Deployment

(57:06) In-Browser Development

(01:09:16) Future of AI in Development

(01:20:17) Balancing Present and Future

(01:22:34) Conclusion and Hiring

(01:24:06) Outro

SOCIAL LINKS:

Website: https://www.cognitiverevolution.ai

Twitter (Podcast): https://x.com/cogrev_podcast

Twitter (Nathan): https://x.com/labenz

LinkedIn: https://linkedin.com/in/nathanlabenz/

Youtube: https://youtube.com/@CognitiveRevolutionPodcast

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Gemini's Next Frontier: 2.0 Flash, Flash Lite Strategy & Real-Time APIs with Logan K from Google Deepmind Feb 06, 2025

Show notes

In this episode of the Cognitive Revolution podcast, Logan Kilpatrick, Product Manager at Google DeepMind, returns to discuss the latest updates on the Gemini API and AI Studio. Logan delves into his experiences transitioning to DeepMind and the restructuring within Google focusing on AI. He highlights new product releases, including the Gemini 2.0 models, and their implications for developers. Logan also touches on the future of AI in text-to-app creation, the impact of reasoning and long context in models, and the broader industry trends. The conversation wraps up with insights into fine-tuning, reinforcement learning, vision language models, and startup opportunities in the AI space.

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CHAPTERS:

(00:00) Teaser

(00:54) Introduction and Welcome

(03:56) The Future of Text App Creation

(05:15) Multimodal API and Real-World Applications

(10:37) Sponsors: Oracle Cloud Infrastructure (OCI) | NetSuite

(13:17) The Evolution of Long Context and Reasoning

(19:19) Vision Language Models and Passive Applications

(21:50) New Launches and Future Prospects (Part 1)

(28:35) Sponsors: Shopify

(29:55) New Launches and Future Prospects (Part 2)

(31:55) Flashlight Models and Cost Efficiency

(34:36) Pro Models and Frontier Applications

(39:52) Evaluating AI Models

(48:57) Fine-Tuning and Reinforcement Learning

(51:42) Opportunities for Startups

(55:52) Conclusion and Final Thoughts

(56:59) Outro

SOCIAL LINKS:

Website: https://www.cognitiverevolution.ai

Twitter (Podcast): https://x.com/cogrev_podcast

Twitter (Nathan): https://x.com/labenz

LinkedIn: https://linkedin.com/in/nathanlabenz/

Youtube: https://youtube.com/@CognitiveRevolutionPodcast

Apple: https://podcasts.apple.com/de/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431

Spotify: https://open.spotify.com/show/6yHyok3M3BjqzR0VB5MSyk

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Distributed Training, Decentralized AI: Prime Intellect's Master Plan to Make AI Too Cheap to Meter Feb 05, 2025

Show notes

Vincent Weisser and Johannes Hagemann, founders of Prime Intellect, join a conversation on the Cognitive Revolution to delve into distributed training, decentralized AI, and their vision for a future where compute and intelligence are widely accessible. They discuss the technical challenges and advantages of distributed training, emphasizing how such systems can democratize AI technology and create a more equitable future. The founders also describe their broader goal of creating a public utility for compute and intelligence and touch on their collaborative work in biosafety and scientific research to illustrate the practical applications of their vision for decentralized AI.

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CHAPTERS:

(00:00) Teaser

(01:02) About the Episode

(05:43) Welcome to the Cognitive Revolution

(05:55) Exploring Decentralized AI

(06:46) A Positive Vision for the Future

(08:19) The Risks and Rewards of AI

(08:56) Superintelligence and Its Implications

(13:22) The Future of Work in an AI-Driven World

(17:09) The Role of Billionaires in an AI Future (Part 1)

(20:41) Sponsors: Oracle Cloud Infrastructure (OCI) | NetSuite

(23:21) The Role of Billionaires in an AI Future (Part 2)

(30:20) The Compute Market Landscape (Part 1)

(35:10) Sponsors: Shopify

(36:30) The Compute Market Landscape (Part 2)

(47:49) Decentralized Compute Fabrics

(51:25) Regulatory Challenges in Europe and the US

(53:28) Policy Regrets and the EU AI Act

(54:30) The Impact of Overregulation on AI

(57:00) Frontier AI Labs and Safety Plans

(01:00:02) Open Source vs. Closed Models

(01:06:19) Scientific Progress with AI

(01:14:56) Distributed Training in AI

(01:35:29) Challenges in Model Interpretability

(01:40:06) Supervised Fine-Tuning and Reinforcement Learning

(01:45:19) Future of Compute and Infrastructure

(02:01:02) NVIDIA's Market Dominance and Competition

(02:05:22) Decentralized Training and Open Source Collaboration

(02:09:58) Governance and Incentives in Decentralized AI

(02:14:19) Conclusion and Call for Collaboration

Aaron Levie, CEO of Box, on Box AI, Enterprise Enthusiasm, and the Evolution of SaaS Jan 29, 2025

Show notes

In this episode, Aaron Levie, Co-founder and CEO of Box, discusses the current landscape of AI and its rapid advancements. He compares the enthusiasm for AI in the enterprise to the initial reluctance faced during the early days of cloud adoption. Levie shares insights into how AI is integrated into both his personal and professional life, highlighting new apps, tools, and features driven by AI. He elaborates on Box's AI initiatives, including the creation of Box AI to manage enterprise content and the concept of AI agents and their impact on enterprise IT departments. Levie also addresses the obstacles and opportunities in deploying AI at scale, predicting significant changes and a new era of 'systems of intelligence' in enterprise software.

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CHAPTERS:

(00:00) Teaser

(00:50) About the Episode

(03:49) Introduction and Warm-Up

(04:08) Personal AI Use and Worldview

(06:48) Enterprise AI Excitement

(07:22) Comparing Cloud and AI Adoption

(11:19) Transforming IT Departments

(14:24) Box's New AI Features

(18:08) Sponsors: Oracle Cloud Infrastructure (OCI) | NetSuite

(20:48) Challenges in AI Implementation

(22:25) Building the Right AI Architecture