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.
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.
Large language models seem to possess the ability to reason intelligently, but does that mean they actually know things?
Why replacing programmers with AI won’t be so easy.
Syed Hamid, founder and CEO of no-code test automation platform Sofy, joins Ben and Ryan to talk about scriptless automation, why his platform targets mobile app developers, and what he learned in nearly two decades at Microsoft.
Itamar Friedman, CEO and cofounder of CodiumAI, and Kyle Mitofsky, a Senior Software Engineer on Stack Overflow’s public platform, join the home team for a conversation about code integrity and how AI tools are changing the way developers work.
Developers love automating solutions to their problems, and with the rise of generative AI, this concept is likely to be applied to both the creation, maintenance, and the improvement of code at an entirely new level.
Ben and Ryan talk with Jonathan Frankle and Abhinav Venigalla of MosaicML, a startup trying to make deep learning and generative AI efficient and accessible for everyone.
Cameron Wolfe, Director of AI at Rebuy and deep learning researcher, joins Ben for a conversation about generative AI, autonomous agents, and balancing a PhD program with a tech career.
Our senior data scientist goes deep in talking about how we built our course recommendation engine.
A realistic understanding of generative AI can guide us to its ideal use case: not a decision-maker or unsupervised agent tucked away from the end user, but an interface between humans and machines.
Look out, world! The worst coder is back and ready to create code he doesn't understand.
