MLOps Community Podcast
# NeurIPS
# Deep Learning
# RelationalAI
Distilling 200+ Hours of NeurIPS: What’s Next for AI
Nikolaos widely shared analysis on LinkedIn highlighted key insights across agentic AI, scaling laws, LLM development, and more. Now, he’s exploring how AI itself might be trained to automate this process in the future - offering a glimpse into how researchers could harness LLMs to synthesize conferences like NeurIPS in real time.
Nikolaos Vasiloglou & Demetrios Brinkmann · Aug 27th, 2025
Devin Stein & Demetrios Brinkmann · Aug 17th, 2025
AI as a partner in building richer, more accessible written knowledge—so communities and teams can thrive, endure, and expand their reach.
# Digital Knowledge Base
# Open-source Maintenance
# Dosu
Rakesh Kumar & Demetrios Brinkmann · Jul 25th, 2025
This session delves into real-time feature generation at Lyft. Real-time feature generation is critical for Lyft where accurate up-to-the-minute marketplace data is paramount for optimal operational efficiency. We will explore how the infrastructure handles the immense challenge of processing tens of millions of events per minute to generate features that truly reflect current marketplace conditions.
Lyft has built this massive infrastructure over time, evolving from a humble start and a naive pipeline. Through lessons learned and iterative improvements, Lyft has made several trade-offs to achieve low-latency, real-time feature delivery. MLOps plays a critical role in managing the lifecycle of these real-time feature pipelines, including monitoring and deployment. We will discuss the practicalities of building and maintaining high-throughput, low-latency real-time feature generation systems that power Lyft’s dynamic marketplace and business-critical products.
# Real-time Machine Learning
# Feature generation
# Lyft
Sherwood Callaway & Demetrios Brinkmann · Jul 22nd, 2025
Sherwood Callaway, tech lead at 11X, joins us to talk about building digital workers—specifically Alice (an AI sales rep) and Julian (a voice agent)—that are shaking up sales outreach by automating complex, messy tasks.
He looks back on his YC days at OpKit, where he first got his hands dirty with voice AI, and compares the wild ride of building voice vs. text agents. We get into the use of Langgraph Cloud, integrating observability tools like Langsmith and Arize, and keeping hallucinations in check with regular Evals.
Sherwood and Demetrios wrap up with a look ahead: will today's sprawling AI agent stacks eventually simplify?
# Alice
# Julian
# 11X
Nick Coleman & Demetrios Brinkmann · Jul 15th, 2025
Nick Coleman shares his journey from high-volume Social Security disability practice to founding LexMed, a legal tech startup leveraging AI to transform how attorneys handle complex cases. He'll discuss LexMed's dual AI platforms: Hearing Echo, which automates transcription and analysis of disability hearings with speaker identification and critical testimony validation, and ChartVision, which combines human medical abstraction with AI to extract and map medical evidence to disability criteria. Nick will explain how "vibe coding" has dramatically reduced friction between his subject matter expertise and technical implementation, enabling rapid prototyping that preserves legal insights through development. By bridging domain knowledge and technology, LexMed has created solutions that address the real-world challenges he experienced firsthand in his high-volume disability practice, offering valuable lessons for AI implementation in other specialized fields.
# AI
# Legal Practice
# LexMed
Jiquan Ngiam & Demetrios Brinkmann · Jul 14th, 2025
What if AI could build and maintain your software—like a co-worker who never forgets state? In this episode, Jiquan Ngiam chats with Demetrios about agents that actually do the work: parsing emails, updating spreadsheets, and reshaping how we design software itself. Less hype, more hands-on AI—tune in for a glimpse at the future of truly personalized computing.
# API
# Latent Space
# Lutra
Frank Meehan & Demetrios Brinkmann · Jul 11th, 2025
“The awakening of every single country is that they have to control their AI intelligence and not outsource their data" - Jensen Huang. Sovereign AI is rapidly becoming a fundamental national utility, much like defense, energy or telecoms.
Nations worldwide recognize that AI sovereignty—having control over your AI infrastructure, data, and models—is essential for economic progress, security, and especially independence - especially when the US is pushing protectionism and trying to prevent global AI innovation. Of course this has the opposite effect - DeepSeek created by a Hedge Fund in China; India building the world's largest AI data centre (3 GW), and global software teams scaling, learning and building faster than ever before.
However most countries lack the talent, financing and experience to implement Sovereign AI for their requirements - and it is our belief at Frontier One, that one of the biggest markets for AI applications, cloud services and GPUs will be global governments. We see it already - with $10B of GPUs in 2024 bought directly by governments - and it's rapidly expanding. We will talk about what Sovereign AI is - both infrastructure and software details / why it is crucial for a nation / how to get involved as part of the MLOps community.
# Sovereign AI
# Sovereign markets
# Political viewpoint
# Frontier One AI
Kai Wang & Demetrios Brinkmann · Jul 4th, 2025
Kai Wang joins the MLOps Community podcast LIVE to share how Uber built and scaled its ML platform, Michelangelo. From mission-critical models to tools for both beginners and experts, he walks us through Uber’s AI playbook—and teases plans to open-source parts of it.
# Uber
# AI
# Machine Learning
Nikolaus West & Demetrios Brinkmann · Jul 1st, 2025
Nikolaus West, CEO of Rerun, breaks down the challenges and opportunities of physical AI—AI that interacts with the real world. He explains why traditional software falls short in dynamic environments and how visualization, adaptability, and better tooling are key to making robotics and spatial computing more practical.
# Physical AI
# Robotics
# Rerun
Kostas Pardalis, Yoni Michael & Demetrios Brinkmann · Jun 27th, 2025
LLMs are reshaping the future of data and AI—and ignoring them might just be career malpractice. Yoni Michael and Kostas Pardalis unpack what’s breaking, what’s emerging, and why inference is becoming the new heartbeat of the data pipeline.
# LLM
# AI infrastructure
# Typedef
Greg Kamradt & Demetrios Brinkmann · Jun 24th, 2025
What makes a good AI benchmark? Greg Kamradt joins Demetrios to break it down—from human-easy, AI-hard puzzles to wild new games that test how fast models can truly learn. They talk hidden datasets, compute tradeoffs, and why benchmarks might be our best bet for tracking progress toward AGI. It’s nerdy, strategic, and surprisingly philosophical.
# AI Benchmark
# ARC AGI
# Data Independent