How to scale a business-ready AI platform with watsonx: Q&A with IBM
We chat with IBM about how their watsonx platform makes generative AI more than just a fun toy.



We chat with IBM about how their watsonx platform makes generative AI more than just a fun toy.
Anand Das, cofounder and CTO of Bito AI, joins Ben and Ryan for a conversation about the intersection of developer productivity and GenAI.
Rita Kozlov, Senior Director of Product at Cloudflare, joins Ben, Ryan, and veteran cohost Cassidy Williams for a conversation about Cloudflare’s new AI service, what her day-to-day is like, and the mind-blowing “physicality” of the internet.
Today’s guest is Joel Hellermark, founder and CEO of Sana, an AI-powered end-to-end learning platform. He talks with Ben and Ryan about a polymath Renaissance, what regulation might look like in the AI space, the intersection of AI and neuroscience, and why AI assistants aren’t turning into Terminators anytime soon.
Text embeddings are key to LLMs and convert text into vector coordinates.
AI systems obey the golden rule: garbage in, garbage out, Want good results, feed it good data.
Retrieval augmented generation (RAG) is a strategy that helps address both LLM hallucinations and out-of-date training data.
Being an effective coder with a code generation tool still requires you to be an effective coder without one.
For AI tools to be useful to your team, they have to fit into your existing workflows.
The home team talks with Matt Martin, cofounder and CEO of Clockwise, which offers AI-powered time management and scheduling tools.
Ben and Ryan settle in for a wide-ranging discussion about whether large language models know anything, whether language ability is unique to humans, and what the end of the Hollywood writers’ strike says about the future of AI-generated content.
This is part two of our conversation with Chris Lattner, creator of Swift, Clang, and LLVM and CEO/cofounder of Modular AI.
Chris Lattner helped create Swift, Clang, and LLVM. Now CEO and cofounder of Modular AI, he tells the home team how they built Mojo, a new programming language for AI developers that can be thousands of times faster than Python. This is part one of our conversation.
How does our emphasis on impostor syndrome keep us from having bigger, harder conversations about how to improve life for developers?
A series of amazing breakthroughs are allowing paralyzed people to speak and emote. With each passing month, we get closer to a brain-computer interface that might unlock some of the deepest mysteries of our grey matter.
The home team chats with Gašper Beguš, director of the Berkeley Speech and Computation Lab, about his research into how LLMs—and humans—learn to speak. Plus: how AI is restoring a stroke survivor’s ability to talk, concern over models that pass the Turing test, and what’s going on with whale brains.
Louis Brandy, VP of Engineering at Rockset, joins us for a deep dive into the architectural similarities across AI, vector search, and real-time analytics, and how they’re all at play in shaping the infrastructure to fight spam.
A Qualcomm expert breaks down some of the tools and techniques they use to fit GenAI models on a smartphone.
On today’s episode we chat with CEO Dipanwita Das and CTO Hellmut Adolphs of Sorcero, which uses AI and large language models to make medical texts more discoverable and readable, helping knowledge to more easily spread, increasing the chances doctors and patients will find the solutions they need.
Ben and senior software engineer Kyle Mitofsky are joined by two people who worked on the launch of Overflow AI: director of data science and data platform Michael Foree and senior software developer Alex Warren. They talk about how and why Stack Overflow launched semantic search, how to ensure a knowledge base is trustworthy, and why user prompts can make LLMs vulnerable to exploits.
Let’s highlight the new features and products we announced today from the stage of WeAreDevelopers.
Knowledge management and AI, VPN security, and an SVG deep dive.
Providing the right context to AI can improve accuracy and reduce hallucinations.
The home team shares what our Developer Survey respondents said about AI, spicy opinions about recent Apple unveilings, and an update on crypto regulation.