Gradient Dissent: Conversations on AI

Lukas Biewald

Join Lukas Biewald on Gradient Dissent, an AI-focused podcast brought to you by Weights & Biases. Dive into fascinating conversations with industry giants from NVIDIA, Meta, Google, Lyft, OpenAI, and more. Explore the cutting-edge of AI and learn the intricacies of bringing models into production.

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

    8 DE JUL.

    How DeepL Built a Translation Powerhouse with AI with CEO Jarek Kutylowski

    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 what makes translation so difficult for AI, why high-quality translations still require human context, and how DeepL tailors models for enterprise use cases. They also discuss the evolution of speech translation, compute infrastructure, training on curated multilingual datasets, hallucinations in models, and why DeepL avoids fine-tuning for each individual customer. It’s a fascinating behind-the-scenes look at one of the most advanced real-world applications of deep learning. Timestamps: [00:00:00] Introducing Jarek and DeepL’s mission [00:01:46] Competing with Google Translate & LLMs [00:04:14] Pretraining vs. proprietary model strategy [00:06:47] Building GPU data centers in 2017 [00:08:09] The value of curated bilingual and monolingual data [00:09:30] How DeepL measures translation quality [00:12:27] Personalization and enterprise-specific tuning [00:14:04] Why translation demand is growing [00:16:16] ROI of incremental quality gains [00:18:20] The role of human translators in the future [00:22:48] Hallucinations in translation models [00:24:05] DeepL’s work on speech translation [00:28:22] The broader impact of global communication [00:30:32] Handling smaller languages and language pairs [00:32:25] Multi-language model consolidation [00:35:28] Engineering infrastructure for large-scale inference [00:39:23] Adapting to evolving LLM landscape & enterprise needs

    43min
  2. GitHub CEO Thomas Dohmke on Copilot and the Future of Software Development

    10 DE JUN.

    GitHub CEO Thomas Dohmke on Copilot and the Future of Software Development

    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 experience leading GitHub through its $7.5B acquisition by Microsoft, the unexpected ways it accelerated innovation, and why developer happiness is crucial to productivity. They explore what still makes human engineers irreplaceable and how the next generation of developers might grow up coding alongside AI. Follow Thomas Dohmke: https://www.linkedin.com/in/ashtom/ Follow Weights & Biases: https://twitter.com/weights_biases https://www.linkedin.com/company/wandb

    1h10min
  3. From Pharma to AGI Hype, and Developing AI in Finance: Martin Shkreli’s Journey

    20 DE MAI.

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

    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 life and business after being "canceled." They dive deep into AI and drug discovery, where Shkreli delivers a strong critique of mainstream approaches. He also talks about his latest venture in finance software, building Godel Terminal “a Vim for traders", and why he thinks the AI hype cycle is just beginning. It's a wide-ranging and candid conversation with one of the most controversial figures in tech and biotech. Follow Martin Shkreli on Twitter Godel Terminal: https://godelterminal.com/ Follow Weights & Biases on Twitter https://www.linkedin.com/company/wandb   Join the Weights & Biases Discord Server: https://discord.gg/CkZKRNnaf3

    1h30min
  4. Inside Cursor: The future of AI coding with Co-founder Sualeh Asif

    29 DE ABR.

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

    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. They dive deep into infrastructure challenges, the importance of speed and user experience, and how emerging trends in agents and reasoning models are reshaping the developer workflow. Sualeh also discusses scaling AI inference to support hundreds of millions of requests per day, building trust through product quality, and his vision for how programming will evolve in the next few years. ⏳Timestamps: 00:00 How Cursor got started and why it took off 04:50 Switching from Vim to VS Code and the rise of CoPilot 08:10 Why Cursor won among competitors: product philosophy and execution 10:30 How user data and feedback loops drive Cursor’s improvements 12:20 Iterating on AI agents: what made Cursor hold back and wait 13:30 Competitive coding background: advantage or challenge? 16:30 Making coding fun again: latency, flow, and model choices 19:10 Building Cursor’s infrastructure: from GPUs to indexing billions of files 26:00 How Cursor prioritizes compute allocation for indexing 30:00 Running massive ML infrastructure: surprises and scaling lessons 34:50 Why Cursor chose DeepSeek models early 36:00 Where AI agents are heading next 40:07 Debugging and evaluating complex AI agents 42:00 How coding workflows will change over the next 2–3 years 46:20 Dream future projects: AI for reading codebases and papers 🎙 Get our podcasts on these platforms: Apple Podcasts: https://wandb.me/apple-podcastsSpotify: https://wandb.me/spotifyYouTube: https://wandb.me/youtube Follow Weights & Biases: https://x.com/weights_biaseshttps://www.linkedin.com/company/wandb

    50min
  5. Inside the Dark Web, AI and Cybersecurity with Christopher Ahlberg CEO of Recorded Future

    8 DE ABR.

    Inside the Dark Web, AI and Cybersecurity with Christopher Ahlberg CEO of Recorded Future

    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, eventually leading to its acquisition by Mastercard. They dive into gripping stories of cyber espionage, including how Recorded Future intercepted a hacker selling access to the U.S. Electoral Assistance Commission. Christopher also explains why the criminal underworld has shifted to platforms like Telegram, how AI is transforming both cyber threats and defenses, and the real-world implications of becoming an "undesirable enemy" of the Russian state. This episode offers unique insights into cybersecurity, AI-driven intelligence, entrepreneurship lessons from a two-time founder, and what happens when geopolitical tensions intersect with cutting-edge technology. A must-listen for anyone interested in cybersecurity, artificial intelligence, or the complex dynamics shaping global security. 🎙 Get our podcasts on these platforms: Apple Podcasts: https://wandb.me/apple-podcasts Spotify: https://wandb.me/spotify YouTube: https://wandb.me/youtube Follow Weights & Biases: https://twitter.com/weights_biases  https://www.linkedin.com/company/wandb

    50min
  6. AI, autonomy, and the future of naval warfare with Captain Jon Haase, United States Navy

    25 DE MAR.

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

    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 operations — and why humans will always be at the center of warfighting. They explore the challenges of underwater autonomy, multi-agent collaboration, cybersecurity, and the growing role of large language models like Gemini and Claude in the defense space. Essential listening for anyone curious about military AI, defense tech, and the future of autonomous systems. ✅ *Subscribe to Weights & Biases* → https://bit.ly/45BCkYz 🎙 Get our podcasts on these platforms: Apple Podcasts: http://wandb.me/apple-podcasts Spotify: http://wandb.me/spotify Google: http://wandb.me/gd_google YouTube: http://wandb.me/youtube Follow Weights & Biases: https://twitter.com/weights_biases https://www.linkedin.com/company/wandb Join the Weights & Biases Discord Server: https://discord.gg/CkZKRNnaf3

    1h2min
  7. The rise of AI agents

    25 DE FEV.

    The rise of AI agents

    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 companies are adapting to an agentic world. They also discuss: What defines a true AI agent versus simple automationHow AI agents are transforming business processes in industries like finance, insurance, and softwareThe evolving business models for APIs as AI agents become the dominant software usersWhat the next breakthroughs in agentic AI might look like in 2025 and beyond If you're curious about the cutting edge of AI automation, enterprise AI adoption, and the real impact of multi-agent systems, this episode is packed with essential insights.

    49min
  8. R1, OpenAI’s o3, and the ARC-AGI Benchmark: Insights from Mike Knoop

    4 DE FEV.

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

    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 competition aimed at advancing AI’s reasoning capabilities. Mike explains how program synthesis and deep learning must merge to create true AGI, and why he believes AI reliability is the biggest hurdle for automation adoption. This conversation covers AGI timelines, research breakthroughs, and the future of intelligent systems, making it essential listening for AI enthusiasts, researchers, and entrepreneurs. Mentioned Show Notes: https://ndea.com https://arcprize.org/blog/r1-zero-r1-results-analysis https://arcprize.org/blog/oai-o3-pub-breakthrough 🎙 Get our podcasts on these platforms: Apple Podcasts: http://wandb.me/apple-podcasts Spotify: http://wandb.me/spotify Google: http://wandb.me/gd_google YouTube: http://wandb.me/youtube Connect with Mike Knoop" @mikeknoop Follow Weights & Biases: https://twitter.com/weights_biases https://www.linkedin.com/company/wandb Join the Weights & Biases Discord Server: https://discord.gg/CkZKRNnaf3

    1h12min
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Join Lukas Biewald on Gradient Dissent, an AI-focused podcast brought to you by Weights & Biases. Dive into fascinating conversations with industry giants from NVIDIA, Meta, Google, Lyft, OpenAI, and more. Explore the cutting-edge of AI and learn the intricacies of bringing models into production.

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