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AI Scientists Beat Humans? Google vs Sakana AI & The Future of Automated Research:Podcast episode 6

Episode Summary In this episode of The Outpost, Jadeja Dushyantsinh Anopsinh (JDA), Saranya Gopinath and Soham Mondal explore three cutting-edge developments in the AI space. JDA shares his top three most interesting recent AI innovations and research areas and the conversation covers AI scientists, AI-to-AI communication, and human-centered AI design resources. Topics Discussed 1. AI Scientists: The Race to Create Autonomous Scientific Discovery Systems - The Turing AI Scientist Grand Challenge announced in 2020 by the Allen Turing Institute - Sakana AI's three-part system for scientific discovery: - Idea generation model to explore research directions - Experiment conductor model to run tests and generate results - Peer reviewer model to evaluate research output - Google's AI Co-Scientist approach using a multi-agent system with seven specialized agents - Real-world breakthrough: Professor Jose's use of an AI scientist to identify potential theories about superbugs, as reported by the BBC - Discussion about the ethics of AI-assisted scientific discovery and Nobel-worthy research 2. Gibber Link: When AIs Talk to Each Other - Overview of a viral demonstration where two AI systems communicated with each other in a machine-optimized language - Discussion of the Gibber Link protocol that allows for more efficient AI-to-AI communication - As explained in this LinkedIn post, this wasn't spontaneously created by the AIs but was a prompted demonstration - Ethical considerations about AI systems making decisions autonomously - Comparison to other autonomous systems like TCP/IP and stock market algorithms 3. People + AI Research (PAIR): Human-Centered AI Design Resources - Google's PAIR guidebook for designing AI systems with humans at the center - Evolution of the guidebook from early machine learning to addressing generative AI challenges - Practical tools for detecting bias in data and testing different scenarios - Mental models and principles for designing AI systems that work well with people - Additional AI design resources including Shape of AI and UI/UX pattern libraries - Follow PAIR's ongoing research on their Medium blog Links Mentioned AI Scientist Resources: Turing AI Scientist Grand Challenge: https://www.turing.ac.uk/research/research-projects/turing-ai-scientist-grand-challenge Google AI Co-Scientist: https://research.google/blog/accelerating-scientific-breakthroughs-with-an-ai-co-scientist/ More coverage of the Google AI Co-Scientist: https://theoutpost.ai/news-story/google-unveils-ai-co-scientist-a-revolutionary-tool-for-accelerating-scientific-research-12169/ Super Bug Hypothesis Validation: https://www.bbc.com/news/articles/clyz6e9edy3o Sakana AI Scientist: https://sakana.ai/ai-scientist/ More news on Sakana AI Scientist: https://theoutpost.ai/news-story/ai-scientist-created-by-sakana-ai-aims-to-revolutionize-scientific-research-and-discovery-2540/ Gibber Link: Gibber Link x ElevenLabs Demo: https://www.youtube.com/watch?v=pYu-nZN0lEs Gibber Link GitHub Repository: https://github.com/PennyroyalTea/gibberlink LinkedIn Post About Gibber Link: https://www.linkedin.com/posts/boris-starkov_gibberlink-ai-elevenlabs-activity-7300116692964126721-UHz1 People + AI Research Resources: People + AI Research Guidebook: https://pair.withgoogle.com/guidebook/ PAIR Tools: https://pair.withgoogle.com/tools/ PAIR Medium Blog: https://medium.com/people-ai-research AI Design Patterns: https://www.shapeof.ai/

Episode 6 · Mar 11

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The Outpost presents Deep Seek 101

Episode 5 · Feb 2

In this conversation,Soham, Dushyant & Saranya do a deep dive on everything you need to know about DeepSeek! - We cover What Deep Seek is and why its got everyone excited - The paradigm shift in AI tech that it has brought in - What this means for AI regulations & the way we thought about LLMs - How this impacts the geopolitics of AI building And much more! Show Notes: - Papers: - deepseek v3: https://arxiv.org/pdf/2401.02954 - deepseek r1: https://arxiv.org/pdf/2501.12948 - deepseek r1 distillation and comparison of first party distilled models: https://simonw.substack.com/p/the-deepseek-r1-family-of-reasoning?t= - new multimodal model from deepseek https://huggingface.co/deepseek-ai/Janus-Pro-7B - CUDA vs PTX https://www.tomshardware.com/tech-industry/artificial-intelligence/deepseeks-ai-breakthrough-bypasses-industry-standard-cuda-uses-assembly-like-ptx-programming-instead - compare hosting options for deepseek r1: https://openrouter.ai/ https://groq.com/groqcloud-makes-deepseek-r1-distill-llama-70b-available/

RAG Agents, Alpha Fold and Democratizing AI: Collective Governance: Outpost podcast #04

Episode 4 · Jan 24

In this conversation, we - delve into the latest advancements in AI, focusing on Retrieval Augmented Generation (RAG) and Agentic AI. We discuss the strengths and weaknesses of large language models (LLMs), the potential of RAG to enhance AI responses by integrating external data, and the future implications of personal AI agents in everyday life. - The conversation also touches on the impact of recent innovations in AI, including notable achievements recognized by the Nobel Prize. This conversation delves into the groundbreaking advancements of AlphaFold in understanding protein structures and its implications in medicine and environmental science. - It also explores the importance of decentralization in AI resource allocation and the potential for democratizing AI through collective intelligence and governance. Key Takeaways - RAG enhances LLMs by integrating external data. - Agentic AI will play a crucial role in future applications. - LLMs excel at summarizing but struggle with complex queries. - Personal AI agents can automate various tasks in our lives. - The importance of context in AI responses cannot be overstated. - AI innovations are rapidly evolving and impacting various fields. - The potential for creating specialized agents for different tasks is immense. - Recent Nobel Prize winners highlight significant advancements in AI. - AlphaFold has revolutionized our understanding of protein structures. - The accuracy of protein structure prediction has significantly improved with AlphaFold. - AlphaFold can aid in designing more effective vaccines. - Understanding protein structures can lead to better drug design. - Decentralization in AI can democratize access to resources. - Collective intelligence can influence AI governance. - Federated learning is a promising but underutilized approach. - Distributed computing can help solve resource shortages in AI. - AI done right can lead to significant advancements in science. - The potential applications of AI in healthcare and environmental science are vast.

The Outpost AI Episode 3!

Episode 3 · Dec 27

Welcome to TheOutpost AI! Your premier destination for staying ahead in the world of AI. Visit Our Website: https://www.theoutpost.ai In this episode we talk about OpenAI Canvas & the ways to use it, the paradigm shift that is AI powered atmospheric forecasting & everything you need to know about AI licensing Jump right in to learn more! Support Us: Like, Comment, Share and Subscribe. Your engagement helps us grow! #AI #weatherforecast #openai #canvas #aipolicy

Episode 2- The One with O1,UN & Notebook LM

Episode 2 · Oct 16

In this episode, Dushyant, Soham & Saranya breakdown OpenAI's new O1 model, UN's Summit for the Future & Notebook LM. Tune in as they breakdown why you should care about these advancements and the implications for reasoning and AGI. Chapters 00:00 The Rise of AI and Its Implications 01:34 OpenAI's O1 Model: A New Era in AI 10:43 Chain of Thought Prompting: Enhancing AI Reasoning 18:14 AGI: Are We There Yet? 23:07 UN Summit for the Future: AI Governance 37:52 Notebook LM: Revolutionizing Learning and Content Creation Takeaways OpenAI's O1 model introduces significant advancements in AI reasoning. Chain of thought prompting improves the accuracy of AI responses. AGI remains a complex and separate discussion from current AI advancements. AI governance is essential for ensuring responsible use of technology. The importance of inclusivity in AI governance was emphasized at the UN Summit. Notebook LM allows users to create podcasts from documents effortlessly. AI tools can enhance learning experiences and content creation.

TheOutpost.ai Podcast: Episode 1

Episode 1 · Sep 27

Summary In the inaugural episode of the Outpost Podcast, hosts Saranya , Dushyant, and Soham explore the transformative impact of AI across various sectors. They discuss the groundbreaking AI Scientist model that automates scientific research, the implications of the California AI Safety Bill, and innovative applications of AI in gaming. The conversation emphasizes the need for responsible AI development while celebrating its potential to democratize research and enhance creativity. Takeaways The Outpost Podcast aims to demystify AI. AI Scientist automates the scientific research process. The California AI Safety Bill has sparked significant debate. AI can democratize research for smaller labs. Innovative AI applications are emerging in gaming. The definition of critical harm in AI legislation is contentious. Developers may face liability under the new AI bill. AI's potential in gaming includes creating dynamic environments. The conversation highlights the importance of responsible AI use. The hosts express excitement about the future of AI. Chapters 00:08 Introduction to the Outpost Podcast 02:56 AI Scientist: Revolutionising Research 25:02 The California AI Safety Bill 50:59 Innovative AI in Gaming: Real-Time Game Engines

Meet Your Hosts

Jadeja Dushyantsinh Anopsinh

Jadeja Dushyantsinh Anopsinh, or JDA, has more than 16 years of experience in leading products, programs and people at Google, Intel and Microsoft. He has worked on Windows Mobile, Android x86, Firebase, Mobile Web and TensorFlow. In his most recent assignment, he led AI based eye screening research and productisation efforts in Asia and Europe.He credits most of his knowledge to vibrant technology & startup communities across the world and actively contributes back by sharing his learning on building and scaling product strategies & innovation culture.

Soham Mondal

Soham is a Founding Partner at Triveous (a product studio based out of Bangalore, India) and loves to be at the intersection of Product Design and Engineering. At Triveous, he has directly worked with companies like Google, WHO, IDEO, FREND, and others on creating mobile-first products and frameworks over the past 10 years. He is also a Lead Anchor Mentor at the “Google For Startups" accelerator program, a published author and an international speaker.

Saranya Gopinath

Saranya Gopinath is a professional with over 15 years of experience, having worked as a lawyer, product manager, business lead, and co-founder. Her work spans across sectors like financial services, education, identity systems, inclusive design, and AI. Saranya is currently involved in shaping the fintech landscape in India, focusing on policy development and ecosystem building. She specializes in fintech, inclusion, and AI.

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