A lot of effort is put into the training of AI models, but, for those of us that actually want to run AI models in production, performance and scaling quickly become blockers. Nikita from MemSQL joins us to talk about how people are integrating ML/AI inference at scale into existing SQL-based workflows. He also touches on how model features and raw files can be managed and integrated with distributed databases.
Did you know Feross taught Web Security at Stanford last Fall? On this episode, Divya and Nick enroll in his security school to learn about XSS, CSP, ambient authority, and a whole lot more.
Leaning from mistakes is key to progressing. In this episode Ben, Aaron, Kris, and Jon discuss some of our mistakes - like spending too much time designing a feature that isn’t that important, or using channels excessively when first learning Go - and how we learned from them.
We’re revisiting Shape Up and product development thoughts with Ryan Singer, Head of Product Strategy at Basecamp. Last August we talked with Ryan when he first launched his book Shape Up and now we’re back to see how Shape Up is shaping up — “How are teams using the wisdom in this book to actually ship work that matters? How does Shape Up work in new versus existing products?” We also talk about the concept of longitudinal thinking and the way it’s impacting Ryan’s designs, plus a grab bag of topics in the last segment.
This full connected has it all: news, updates on AI/ML tooling, discussions about AI workflow, and learning resources. Chris and Daniel breakdown the various roles to be played in AI development including scoping out a solution, finding AI value, experimentation, and more technical engineering tasks. They also point out some good resources for exploring bias in your data/model and monitoring for fairness.
Mat Ryer talks to a new full-time Go programmer, an intern at Google, and a high-school programmer about the tech world from their perspective.
Then Feross shares his new app, Nick talks fiction books, and Jerod switches coding fonts.
You are not what you’ve been dealt. You might have heard in your life that you’ve inherited bad genes or even good genes, and from that you conclude that you’re doomed or blessed. In some cases there’s a margin of truth to that. However, the role of genes, Epigentics, and Neuroplasticity tell a different story. It’s a story of hope and opportunity for change.
The incomparable Jessica Kerr drops by with a grab-bag of amazing topics. Understanding software systems, transferring knowledge between devs, building relationships, using VS Code & Docker to code together, observability as a logical extension of TDD, and a whole lot more.
Daniel and Chris go beyond the current state of the art in deep learning to explore the next evolutions in artificial intelligence. From Yoshua Bengio’s NeurIPS keynote, which urges us forward towards System 2 deep learning, to DARPA’s vision of a 3rd Wave of AI, Chris and Daniel investigate the incremental steps between today’s AI and possible future manifestations of artificial general intelligence (AGI).
How much do you focus on your sense of touch? Have you ever considered how or why this sense is so critical to our lives and how we manage ourselves? In this episode, Mireille and Adam discuss the neurophysiological underpinnings of our sense of touch and how our brains process these sensory experiences. According to David Linden, Ph.D., Professor of Neuroscience at Johns Hopkins University School of Medicine, “The sense of touch is intrinsically emotional.”
Not only is touch relevant to our emotional experience, but it is a foundational aspect of the development of our nervous system and it impacts how we manage stress and respond to pain. It isn’t surprising then to consider that touch is also extremely relevant to our relationships as we are apt to feel more connected to those with whom we engage in touch.
We often try new frameworks and tools in side projects or throwaway contexts, but you don’t learn that much about a thing until you use it to build something real. That’s why we have Mat Ryer and David Hernandez joining us to share their experience of using Svelte while building their new startup, Pace.dev.
Mat, Jon, and Jaana discuss reflection and meta programming. How do other languages use reflection, and how does that differ from Go’s approach? What libraries are using reflection well? What are some examples of bad times to use reflect? What alternative approaches exist? And what are those weird struct tags I keep seeing in Go code?
Sid Sijbrandij is the Co-founder and CEO of GitLab — an all-remote company and complete DevOps platform. As a company, they have their eyes set on taking the company public to IPO and they’re very outspoken about their culture, open handbook, and how they work as an all-remote company. We talk through where Sid came from, the early days of GitLab, why IPO vs a private sale (like GitHub), what it means to put “family and friends first, work second,” how we should view work, and his biggest fear — the company failing.
We’re talking about all things all-remote with Darren Murph, Head of Remote at GitLab. Darren is tasked with putting intentional thought and action into place to lead the largest all-remote company in the world. Yes, GitLab is 100% all-remote, as in, no offices…and they employee more than 1,200 people across 67 countries. They’ve been iterating and documenting how to work remotely for years. We cover Darren’s personal story on remote work while he served as managing editor at Engadget, his thoughts on how “work” is evolving and ways to reframe and rethink about when you work, this idea of work life harmony, and the backstory and details of the playbook GitLab released free of charge to the world.
The CEO of Darwin AI, Sheldon Fernandez, joins Daniel to discuss generative synthesis and its connection to explainability. You might have heard of AutoML and meta-learning. Well, generative synthesis tackles similar problems from a different angle and results in compact, explainable networks. This episode is fascinating and very timely.
JS Danger is back! Suz, Emma, and Divya square off in our don’t-call-it-jeopardy game show. Will Emma totally redeem herself? Are Divya’s trivia skills as on point as her debate skills? Will Suz murder Jerod in a fit of terrible-question-inducing rage?! Listen and play along!
Researchers have examined the power of story and discovered the way in which stories provide a framework that has the capacity to transcend language for universal understanding. According to Joe Lazauskas, “Stories illuminate the city of our mind…stories make us remember and they make us care.” In this episode we dive deep into the power of story to explore the ways in which stories play a role in our emotions and in our relationships with others.
Databases are tricky, especially at scale. In this episode Mat, Jaana, and Jon discuss different types of databases, the pros and cons of each, along with the many ways developers can have issues with databases. They also explore questions like, “Why are serial IDs problematic?” and “What alternatives are there if we aren’t using serial IDs?” while at it.
On the heels of NVIDIA’s latest announcements, Daniel and Chris explore how the new NVIDIA Ampere architecture evolves the high-performance computing (HPC) landscape for artificial intelligence. After investigating the new specifications of the NVIDIA A100 Tensor Core GPU, Chris and Daniel turn their attention to the data center with the NVIDIA DGX A100, and then finish their journey at “the edge” with the NVIDIA EGX A100 and the NVIDIA Jetson Xavier NX.
We’re bringing Brain Science backstage — Mireille puts on her interviewer hat for a deep dive into Adam’s backstory. When and how did he get involved with podcasting? How did he get in to software development? When did he get his first shot at leadership? How did he learn about sales? Why is he so curious?
Johnny and Jon are joined by Denise to talk about her role at GitHub and what the community and safety team does to help open source project creators and contributors, GoCon Canada and the role of organizing a conference, and more.
High expectations for performance in both life and work are common, but what do you do when you get stuck and you’re not able to achieve the results you desire? In this episode, Mireille and Adam talk through the different aspects of perfectionism and ways in which is can be adaptive and helpful and other ways in which it poses additional challenges. What happens when we avoid the possibility of failure as opposed to simply having high standards for our performance? How can we begin to focus on healthy striving as opposed to reaching for perfection?
Jason Warner (CTO at GitHub) joined the show to talk with us about the backstory of how he helped to lead GitHub to a $7.5 billion acquisition by Microsoft. Specifically how they trusted their gut not just the data, and how they understood the value they were bringing to market. We also talk about Jason’s focus on “horizon 3” for GitHub, and his thoughts on remote work and how they’re leading GitHub engineering today.
Long-time listener (and YouTube aficionado) Owen Bickford joins Jerod backstage to discuss his recent contribution to Changelog’s Elixir/Phoenix-based open source platform.
This is a wide-ranging discussion about all things Deno. We discuss why they’re using Rust, how they’re rewriting parts of the TypeScript compiler, their take on package management, what adoption looks like, their code of conduct, and more.
Distributed systems are hard. Building a distributed messaging system for these systems to communicate is even harder. In this episode, we unpack some of the challenges of building distributed messaging systems (like NATS), including how Go makes that easy and/or hard as applicable.
In this episode, Mireille and Adam talk through the challenge of problem solving. It’s all to common to utilize the “try harder” approach when things aren’t working out the way you’d like. While that kind of effort is valuable, this approach is often wrought with further frustration, wasted time and less than desirable results. This episode offers you an alternative perspective and ways that you can practice getting unstuck and utilize more of the resources of your unconscious mind.