Justin Harris, Principal Software Engineer at Microsoft with expertise in machine learning, discusses Microsoft Copilot, ML team organization, and natural language processing advancements. Topics cover the evolution of machine learning models, challenges in testing AI models, ethical considerations in AI systems, and enhancing productivity through Notion and machine learning experimentation. The podcast also explores security measures for AI assistants, token-based processing in language models, generating visual elements, optimizing voice technology, and more.

Matt Ober, Co-Founder & CTO of Pinata, discusses the innovative Interplanetary File System (IPFS) and its decentralized approach to file storage. The episode explores IPFS naming, storage process, node operations, content distribution, decentralized storage, and benefits/challenges of IPFS integration. Learn about the unique features of IPFS and how it differs from blockchain technology.

Billy Basso, developer of the Metroidvania game Animal Well, discusses creating the game's engine from scratch, animation handling, character movement, and more. Joe Nash, a developer and community builder, shares his journey from modding Garry’s Mod to game development. The podcast explores retro game visuals, input latency reduction, art creation, and building a game engine for independence and efficiency.

Sarah Nagy, Co-founder and CEO at Seek, discusses using large language models to simplify data querying for non-experts, reduce data team workload, and provide a natural language interface to databases. The podcast explores empowering users with efficient data query solutions, revolutionizing data querying with Seac and CED, a multi-model approach in AI systems, navigating data queries and user experience, and the tools and challenges in data analysis with a focus on empowering data professionals with Seek.

Alex Grinman, co-founder of Footprint, discusses identity verification, security, compliance, frontend/backend design. Topics include KYC, KYB, PII, user onboarding, Footprint's role in data security, risk, identity verification, and more.

Anthony Fu, a Framework Developer on the Nuxt team, discusses Vue, Nuxt, open source development, and more. Topics include benefits of open-source projects, communication skills in coding environments, Vue vs. React comparison, and the evolution of Nuxt in version three.

Atila Orhon, expert in scaling large ML models for small devices, discusses challenges running models on phones and laptops. Argmax, his startup, focuses on solutions for this. Orhon shares insights from Apple and NVIDIA, optimizing ML models, and more.

Rob Futrick, CTO at Anaconda, discusses Anaconda's role as a platform for data science and AI development. He talks about the concept of an 'OS for AI', Conda packaging system, and challenges in data quality, security, and copyright. The podcast explores Hook Deck services for secure software deployments and delves into AI safety, security, and future directions in AI evolution.

Panic's James Moore and Dave Hayden discuss developing the unique Playdate handheld with a hand crank and free SDK. They delve into game optimization, Lua API evolution, code freedom, distribution strategies, crank control innovation, and nurturing a positive work culture at Panic.

Nihit Desai, Co-founder and CTO at Refuel.ai, discusses using LLMs for data labeling, cleaning, and enrichment. The podcast explores the significance of quality data in ML, challenges in data preparation, AI security, real data importance, search engine development, data labeling, and model performance evaluation. It also delves into fine-tuning LLMs for data tasks and transitioning models into production.