The podcast by and for AI Engineers! In 2025, over 10 million readers and listeners came to Latent Space to hear about news, papers and interviews in Software 3.0. We cover Foundation Models changing every domain in Code Generation, Multimodality, AI Agents, GPU Infra and more, directly from the founders, builders, and thinkers involved in pushing the cutting edge. Striving to give you both the definitive take on the Current Thing down to the first introduction to the tech you'll be using in the next 3 months! We break news and exclusive interviews from OpenAI, Anthropic, Gemini, Meta (Soumith Chintala), Sierra (Bret Taylor), tiny (George Hotz), Databricks/MosaicML (Jon Frankle), Modular (Chris Lattner), Answer.ai (Jeremy Howard), et al. Full show notes always on https://latent.space Sponsorship and business inquiries: [email protected] www.latent.space
This podcast episode centers on the evolution of text interfaces, the significance of creating user-friendly interfaces for language models, and the exploration of AI's potential in enhancing knowledge work. It delves into the journey of Linus, a product engineer at Notion, who took a year off to explore the evolution ...
This podcast episode dives deep into the realm of AI-powered coding assistants and their potential to revolutionize software development, with Codium AI and AutoGPT taking center stage. It explores the challenges of code logic testing, introduces innovative approaches that synergize traditional techniques with AI, and ...
This podcast episode delves into the work of Mosaic ML, a company specializing in deep learning models, and their experiences in developing sparse models and training large language models. The speakers discuss the technical challenges, creative applications, and ethical considerations surrounding these models and shar...
This podcast episode introduces Guardrails, a tool that helps developers control AI outputs by enabling them to specify and enforce constraints. It also explores the challenges and considerations involved in developing guardrails, SLAs, and ensuring authenticity in LLM outputs. Finally, it discusses the rewards and cha...
This podcast episode features Sharish Amin, the founder of Lexica and Lexica Aperture, who shares his entrepreneurial journey, from dropping out of college to pursue his dreams, to building successful startups in the cloud gaming and AI industries. Amin discusses the challenges and lessons learned along the way, emphas...
This podcast dives deep into the rise of open source AI models and their challenge to Google's dominance in the field. It explores the benefits and drawbacks of open source models, including their potential to offer superior quality and innovation, and the difficulties in building products around them. The discussion a...
This podcast episode dives into the world of artificial intelligence, exploring its development, applications, and societal implications. The discussion covers a range of topics, including the importance of emerging technologies, the evolution of AI-assisted coding tools, and the impact of AI on investment strategies a...
This podcast episode delves into various aspects of artificial intelligence (AI), including natural language processing, language models, data set optimization, open data, and AI in workplace productivity and outdoor experiences. It also explores the potential of self-reflexive AI models, the success of Google Maps as ...
This podcast episode explores various aspects of artificial intelligence (AI), including enterprise knowledge access, search engine optimization, chat-based interfaces, language models (LLMs), and the ethical considerations surrounding generative AI. It delves into the challenges of building AI products, the opportunit...
This podcast episode explores the journey of RoboFlow, a company that provides tools and services for building and deploying computer vision models, and delves into the challenges and costs associated with annotation in computer vision. It also delves into new technologies like SAM and explores solutions for managing v...
This podcast dives into the world of AI benchmarks and their crucial role in evaluating language model performance. It explores various benchmark datasets, their evolution, and challenges associated with their creation and use. It examines the impact of benchmarks on NLP and deep learning research, including significan...
This podcast episode covers various topics in machine learning development, including the importance of velocity, validation, and versioning; the challenges of bridging the gap between development and production environments; innovative research initiatives at Berkeley; the significance of dynamic data, pre-commits, an...
This podcast episode examines the various advancements and potential impacts of generative AI models like ChatGPT, exploring their implications for the future of technology and its applications across different industries.
This podcast episode explores the potential and limitations of AI, particularly in the context of natural language processing and data analysis. It delves into the challenges of using AI to generate precise code, the significance of the semantic layer in data analytics, and the importance of human expertise in idea gen...
This podcast episode explores the intricacies of deep learning, with discussions on optimizing hardware utilization, the experiences of using Copilot, the challenges of developing LLM products, and insights into large language models (LLMs). It also delves into evaluating and improving machine learning models, training...
This podcast episode explores the field of developer advocacy, particularly the role of the first developer advocate at OpenAI and lead developer community advocate of the Julia language, Logan Kilpatrick, highlighting the challenges and opportunities of enabling developers to succeed with large language models and the...
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