أفضل بودكاسات Gradient (2025)

1
The Startup Powering The Data Behind AGI 56:15

24d ago56:15

56:15

In this episode of Gradient Dissent, Lukas Biewald talks with the CEO & founder of Surge AI, the billion-dollar company quietly powering the next generation of frontier LLMs. They discuss Surge's origin story, why traditional data labeling is broken, and how their research-focused approach is reshaping how models are trained. You’ll hear why inter-…

1
Episode 60: 10 Things I Hate About AI Evals with Hamel Husain 1:13:15

10d ago1:13:15

1:13:15

Most AI teams find "evals" frustrating, but ML Engineer Hamel Husain argues they’re just using the wrong playbook. In this episode, he lays out a data-centric approach to systematically measure and improve AI, turning unreliable prototypes into robust, production-ready systems. Drawing from his experience getting countless teams unstuck, Hamel expl…

1
Episode 59: Patterns and Anti-Patterns For Building with AI 47:37

16d ago47:37

47:37

John Berryman (Arcturus Labs; early GitHub Copilot engineer; co-author of Relevant Search and Prompt Engineering for LLMs) has spent years figuring out what makes AI applications actually work in production. In this episode, he shares the “seven deadly sins” of LLM development — and the practical fixes that keep projects from stalling. From context…

1
Episode 58: Building GenAI Systems That Make Business Decisions with Thomas Wiecki (PyMC Labs) 1:00:45

1M ago1:00:45

1:00:45

While most conversations about generative AI focus on chatbots, Thomas Wiecki (PyMC Labs, PyMC) has been building systems that help companies make actual business decisions. In this episode, he shares how Bayesian modeling and synthetic consumers can be combined with LLMs to simulate customer reactions, guide marketing spend, and support strategy. …

1
Episode 57: AI Agents and LLM Judges at Scale: Processing Millions of Documents (Without Breaking the Bank) 41:27

1M ago41:27

41:27

While many people talk about “agents,” Shreya Shankar (UC Berkeley) has been building the systems that make them reliable. In this episode, she shares how AI agents and LLM judges can be used to process millions of documents accurately and cheaply. Drawing from work on projects ranging from databases of police misconduct reports to large-scale cust…

1
Episode 56: DeepMind Just Dropped Gemma 270M... And Here’s Why It Matters 45:40

2M ago45:40

45:40

While much of the AI world chases ever-larger models, Ravin Kumar (Google DeepMind) and his team build across the size spectrum, from billions of parameters down to this week’s release: Gemma 270M, the smallest member yet of the Gemma 3 open-weight family. At just 270 million parameters, a quarter the size of Gemma 1B, it’s designed for speed, effi…

1
Episode 55: From Frittatas to Production LLMs: Breakfast at SciPy 38:08

2M ago38:08

38:08

Traditional software expects 100% passing tests. In LLM-powered systems, that’s not just unrealistic — it’s a feature, not a bug. Eric Ma leads research data science in Moderna’s data science and AI group, and over breakfast at SciPy we explored why AI products break the old rules, what skills different personas bring (and miss), and how to keep sy…

1
Arvind Jain on Building Glean and the Future of Enterprise AI 43:41

2M ago43:41

43:41

In this episode of Gradient Dissent, Lukas Biewald sits down with Arvind Jain, CEO and founder of Glean. They discuss Glean's evolution from solving enterprise search to building agentic AI tools that understand internal knowledge and workflows. Arvind shares how his early use of transformer models in 2019 laid the foundation for Glean’s success, w…

1
Episode 54: Scaling AI: From Colab to Clusters — A Practitioner’s Guide to Distributed Training and Inference 41:17

3M ago41:17

41:17

Colab is cozy. But production won’t fit on a single GPU. Zach Mueller leads Accelerate at Hugging Face and spends his days helping people go from solo scripts to scalable systems. In this episode, he joins me to demystify distributed training and inference — not just for research labs, but for any ML engineer trying to ship real software. We talk t…

1
How DeepL Built a Translation Powerhouse with AI with CEO Jarek Kutylowski 42:42

3M ago42:42

42:42

In this episode of Gradient Dissent, Lukas Biewald talks with Jarek Kutylowski, CEO and founder of DeepL, an AI-powered translation company. Jarek shares DeepL’s journey from launching neural machine translation in 2017 to building custom data centers and how small teams can not only take on big players like Google Translate but win. They dive into…

1
Episode 53: Human-Seeded Evals & Self-Tuning Agents: Samuel Colvin on Shipping Reliable LLMs 44:49

3M ago44:49

44:49

Demos are easy; durability is hard. Samuel Colvin has spent a decade building guardrails in Python (first with Pydantic, now with Logfire), and he’s convinced most LLM failures have nothing to do with the model itself. They appear where the data is fuzzy, the prompts drift, or no one bothered to measure real-world behavior. Samuel joins me to show …

1
Episode 52: Why Most LLM Products Break at Retrieval (And How to Fix Them) 28:38

3M ago28:38

28:38

Most LLM-powered features do not break at the model. They break at the context. So how do you retrieve the right information to get useful results, even under vague or messy user queries? In this episode, we hear from Eric Ma, who leads data science research in the Data Science and AI group at Moderna. He shares what it takes to move beyond toy dem…

1
Episode 51: Why We Built an MCP Server and What Broke First 47:41

4M ago47:41

47:41

What does it take to actually ship LLM-powered features, and what breaks when you connect them to real production data? In this episode, we hear from Philip Carter — then a Principal PM at Honeycomb and now a Product Management Director at Salesforce. In early 2023, he helped build one of the first LLM-powered SaaS features to ship to real users. M…

1
Episode 50: A Field Guide to Rapidly Improving AI Products -- With Hamel Husain 27:42

4M ago27:42

27:42

If we want AI systems that actually work, we need to get much better at evaluating them, not just building more pipelines, agents, and frameworks. In this episode, Hugo talks with Hamel Hussain (ex-Airbnb, GitHub, DataRobot) about how teams can improve AI products by focusing on error analysis, data inspection, and systematic iteration. The convers…

1
GitHub CEO Thomas Dohmke on Copilot and the Future of Software Development 1:09:44

4M ago1:09:44

1:09:44

In this episode of Gradient Dissent, Lukas Biewald sits down with Thomas Dohmke, CEO of GitHub, to talk about the future of software engineering in the age of AI. They discuss how GitHub Copilot was built, why agents are reshaping developer workflows, and what it takes to make tools that are not only powerful but also fun. Thomas shares his experie…

1
Episode 49: Why Data and AI Still Break at Scale (and What to Do About It) 1:21:45

4M ago1:21:45

1:21:45

If we want AI systems that actually work in production, we need better infrastructure—not just better models. In this episode, Hugo talks with Akshay Agrawal (Marimo, ex-Google Brain, Netflix, Stanford) about why data and AI pipelines still break down at scale, and how we can fix the fundamentals: reproducibility, composability, and reliable execut…

1
Episode 48: HOW TO BENCHMARK AGI WITH GREG KAMRADT 1:04:25

5M ago1:04:25

1:04:25

If we want to make progress toward AGI, we need a clear definition of intelligence—and a way to measure it. In this episode, Hugo talks with Greg Kamradt, President of the ARC Prize Foundation, about ARC-AGI: a benchmark built on Francois Chollet’s definition of intelligence as “the efficiency at which you learn new things.” Unlike most evals that …

1
From Pharma to AGI Hype, and Developing AI in Finance: Martin Shkreli’s Journey 1:30:19

5M ago1:30:19

1:30:19

In this episode of Gradient Dissent, Lukas Biewald talks with Martin Shkreli — the infamous "pharma bro" turned founder — about his path from hedge fund manager and pharma CEO to convicted felon and now software entrepreneur. Shkreli shares his side of the drug pricing controversy, reflects on his prison experience, and explains how he rebuilt his …

1
Inside Cursor: The future of AI coding with Co-founder Sualeh Asif 49:36

5M ago49:36

49:36

In this episode of Gradient Dissent, host Lukas Biewald talks with Sualeh Asif, the CPO and co-founder of Cursor, one of the fastest-growing and most loved AI-powered coding platforms. Sualeh shares the story behind Cursor’s creation, the technical and design decisions that set it apart, and how AI models are changing the way we build software. The…

1
Inside the Dark Web, AI and Cybersecurity with Christopher Ahlberg CEO of Recorded Future 50:15

6M ago50:15

50:15

In this episode of Gradient Dissent, host Lukas Biewald talks with Christopher Ahlberg, CEO of Recorded Future, a pioneering cybersecurity company leveraging AI to provide intelligence insights. Christopher shares his fascinating journey from founding data visualization startup Spotfire to building Recorded Future into an industry leader, eventuall…

1
Episode 47: The Great Pacific Garbage Patch of Code Slop with Joe Reis 1:19:12

6M ago1:19:12

1:19:12

What if the cost of writing code dropped to zero — but the cost of understanding it skyrocketed? In this episode, Hugo sits down with Joe Reis to unpack how AI tooling is reshaping the software development lifecycle — from experimentation and prototyping to deployment, maintainability, and everything in between. Joe is the co-author of Fundamentals…

1
Episode 46: Software Composition Is the New Vibe Coding 1:08:57

6M ago1:08:57

1:08:57

What if building software felt more like composing than coding? In this episode, Hugo and Greg explore how LLMs are reshaping the way we think about software development—from deterministic programming to a more flexible, prompt-driven, and collaborative style of building. It’s not just hype or grift—it’s a real shift in how we express intent, reaso…

1
AI, autonomy, and the future of naval warfare with Captain Jon Haase, United States Navy 1:01:32

7M ago1:01:32

1:01:32

In this episode of Gradient Dissent, host Lukas Biewald speaks with Captain Jon Haase, United States Navy about real-world applications of AI and autonomy in defense. From underwater mine detection with autonomous vehicles to the ethics of lethal AI systems, this conversation dives into how the U.S. military is integrating AI into mission-critical …

1
The rise of AI agents 49:09

8M ago49:09

49:09

In this episode of Gradient Dissent, host Lukas Biewald sits down with João Moura, CEO & Founder of CrewAI, one of the leading platforms enabling AI agents for enterprise applications. Joe shares insights into how AI agents are being successfully deployed in over 40% of Fortune 500 companies, what tools these agents rely on, and how software compan…

1
Episode 45: Your AI application is broken. Here’s what to do about it. 1:17:30

8M ago1:17:30

1:17:30

Too many teams are building AI applications without truly understanding why their models fail. Instead of jumping straight to LLM evaluations, dashboards, or vibe checks, how do you actually fix a broken AI app? In this episode, Hugo speaks with Hamel Husain, longtime ML engineer, open-source contributor, and consultant, about why debugging generat…

1
R1, OpenAI’s o3, and the ARC-AGI Benchmark: Insights from Mike Knoop 1:12:01

8M ago1:12:01

1:12:01

In this episode of Gradient Dissent, host Lukas Biewald sits down with Mike Knoop, Co-founder and CEO of Ndea, a cutting-edge AI research lab. Mike shares his journey from building Zapier into a major automation platform to diving into the frontiers of AI research. They discuss DeepSeek’s R1, OpenAI’s O-series models, and the ARC Prize, a competiti…

1
Episode 44: The Future of AI Coding Assistants: Who’s Really in Control? 1:34:11

8M ago1:34:11

1:34:11

AI coding assistants are reshaping how developers write, debug, and maintain code—but who’s really in control? In this episode, Hugo speaks with Tyler Dunn, CEO and co-founder of Continue, an open-source AI-powered code assistant that gives developers more customization and flexibility in their workflows. In this episode, we dive into: The trade-of…

1
DeepSeek, Stargate and AI's $600 Billion Question with Sequoia's David Cahn 58:16

8M ago58:16

58:16

In this episode of Gradient Dissent, host Lukas Biewald sits down with David Cahn, partner at Sequoia Capital, for a compelling discussion on the dynamic world of AI investments. They dive into recent developments, including DeepSeek and Stargate, exploring their implications for the AI industry. Drawing from his articles, "AI's $200 Billion Questi…

المدونة الصوتية تستحق الاستماع

Gradient بودكاست

المدونة الصوتية تستحق الاستماع

دليل مرجعي سريع