What can art historians and computer scientists learn from one another? Actually, a lot! Amanda Wasielewski joins us to talk about how she discovered that computer scientists working on computer vision were actually acting like rogue art historians and how art historians have fou … | Continue reading
Mat & Johnny interview everyone’s favorite LLM (Natalie with a special hat on) to see if it’d make a good hire as a Go dev. Also, Mat tries to turn it into his very own creepy robot by asking personal questions about his co-hosts. Things get weird. In a good way? | Continue reading
Daniel and Chris explore the intersection of Kaggle and real-world data science in this illuminating conversation with Christof Henkel, Senior Deep Learning Data Scientist at NVIDIA and Kaggle Grandmaster. Christof offers a very lucid explanation into how participation in Kaggle … | Continue reading
We’re joined by the creators of Wails and Fyne to dig into writing Go code for different architectures and operating systems. | Continue reading
We are seeing an explosion of AI apps that are (at their core) a thin UI on top of calls to OpenAI generative models. What risks are associated with this sort of approach to AI integration, and is explainability and accountability something that can be achieved in chat-based assi … | Continue reading
Our “Hacking with Go” series continues! This time Natalie & Johnny are joined by Ivan Kwiatkowski & Juan Andrés Guerrero-Saade and the conversation is we’re focused around generics and AI. | Continue reading
The panel discuss the parts of Go they never use. Do they avoid them because of pain in the past? Were they overused? Did they always end up getting refactoring out? Is there a preferred alternative? | Continue reading
Neural search and chat-based search are all the rage right now. However, You.com has been innovating in these topics long before ChatGPT. In this episode, Bryan McCann from You.com shares insights related to our mental model of Large Language Model (LLM) interactions and practica … | Continue reading
In a world where most documentation sucks, large language models write better than humans, and people won’t be bothered to type full sentences with actual punctuation. Two men… against all odds… join an award-worthy podcast… hosted by a coin-operated, singing code monkey (?)… to … | Continue reading
We’ve all experienced pain moving from local development, to testing, and then on to production. This cycle can be long and tedious, especially as AI models and datasets are integrated. Modal is trying to make this loop of development as seamless as possible for AI practitioners, … | Continue reading
With the recent proliferation of generative AI models (from OpenAI, co:here, Anthropic, etc.), practitioners are racing to come up with best practices around prompting, grounding, and control of outputs. Chris and Daniel take a deep dive into the kinds of behavior we are seeing w … | Continue reading
We’re super excited to welcome Jay Alammar to the show. Jay is a well-known AI educator, applied NLP practitioner at co:here, and author of the popular blog, “The Illustrated Transformer.” In this episode, he shares his ideas on creating applied NLP solutions, working with large … | Continue reading
Our “what’s new in Go” correspondent Carl Johnson joins Mat & Johnny to discuss… what’s new in Go 1.20, of course! What’d you expect, an episode about Rust?! That’s preposterous… | Continue reading
We’ve been hearing about “serverless” CPUs for some time, but it’s taken a while to get to serverless GPUs. In this episode, Erik from Banana explains why its taken so long, and he helps us understand how these new workflows are unlocking state-of-the-art AI for application devel … | Continue reading
A quick look at the history of building web apps, followed by a discussion of htmx and how it compares to both modern and traditional ways of building. | Continue reading
Worlds are colliding! This week we join forces with the hosts of the MLOps.Community podcast to discuss all things machine learning operations. We talk about how the recent explosion of foundation models and generative models is influencing the world of MLOps, and we discuss rela … | Continue reading
It’s “Call For Papers” (CFP) season in Go land, so we gathered some seriously experienced conference organizers to help YOUR submission be the best ever. | Continue reading
What’s the current reality and practical implications of using 3D environments for simulation and synthetic data creation? In this episode, we cut right through the hype of the Metaverse, Multiverse, Omniverse, and all the “verses” to understand how 3D assets and tooling are actu … | Continue reading
Ole Bulbuk & Sandor Szücs join Natalie to discuss the ins & outs of long-term code maintenance. What does it take to maintain a codebase for a decade or more? How do you plan for that? What about inheriting a codebase for the long term? Oh, and (how) can AI help? | Continue reading
Creating and sharing reproducible development environments for AI experiments and production systems is a huge pain. You have all sorts of weird dependencies, and then you have to deal with GPUs and NVIDIA drivers on top of all that! brev.dev is attempting to mitigate this pain a … | Continue reading
Tech lawyer Luis Villa returns to Go Time to school us once again on the intellectual property concerns of software creators in this crazy day we live in. This time around, we’re focusing on the implications of Large Language Models, code generation, and crazy stuff like that. | Continue reading
Why is ML is so poorly adopted in small organizations (hint: it’s not because they don’t have enough data)? In this episode, Kirsten Lum from Storytellers shares the patterns she has seen in small orgs that lead to a successful ML practice. We discuss how the job of a ML Engineer … | Continue reading
Paul Smith (from “Obama’s Trauma Team”) tells us the tale of how Go played a big role in the rescuing and rebuilding of the HealthCare.gov website. Along the way we learn what the original team did wrong, how the rescue team kept it afloat during huge traffic spikes, and what the … | Continue reading
Daniel and Chris do a deep dive into OpenAI’s ChatGPT, which is the first LLM to enjoy direct mass adoption by folks outside the AI world. They discuss how it works, its effect on the world, ramifications of its adoption, and what we may expect in the future as these types of mod … | Continue reading
Mat and the gang ring in the new year by gathering around a make believe fireplace and discussing what they’re excited about in 2023, their new years resolutions & a little bit of Go talk, too. But only a little. | Continue reading
While at EMNLP 2022, Daniel got a chance to sit down with an amazing group of researchers creating NLP technology that actually works for their local language communities. Just Zwennicker (Universiteit van Amsterdam) discusses his work on a machine translation system for Sranan T … | Continue reading
Mat invites Bartłomiej Płotka, Kemal Akkoyun & Christian Simon to discuss how to make Go code more efficient through modern observability practices. | Continue reading
José and Ricardo joined Daniel at EMNLP 2022 to discuss state-of-the-art machine translation, the WMT shared tasks, and quality estimation. Among other things, they talk about Unbabel’s innovations in quality estimation including COMET, a neural framework for training multilingua … | Continue reading
Ivan Kwiatkowski joins Natalie once again for a follow-up episode to Hacking with Go: Part 2. This time we’ll get Ivan’s perspective on the way Go’s security features are designed and used, from the user/hacker perspective. And of course we will also talk about how AI fits into a … | Continue reading
In this special episode, we interview some of the sponsors and teams from a recent case competition organized by Purdue University, Microsoft, INFORMS, and SIL International. 170+ teams from across the US and Canada participated in the competition, which challenged students to cr … | Continue reading
That is the question. Whether ’tis nobler in the mind to suffer the slings and arrows of outrageous test coverage, or to take arms against a sea of bugs… | Continue reading
There are some big AI-related controversies swirling, and it’s time we talk about them. A lawsuit has been filed against GitHub, Microsoft, and OpenAI related to Copilot code suggestions, and many people have been disturbed by the output of Meta AI’s Galactica model. Does Copilot … | Continue reading
Nishant Roy, Engineering Manager at Pinterest Ads, joins Johnny & Jon to detail how they’ve managed to continue shipping quality software from startup through hypergrowth all the way to IPO. Prepare to learn a lot about Pinterest’s integration and deployment pipeline, obs … | Continue reading
On a previous episode of Go Time we discussed binary bloat, and how the Go protocol buffer implementation is a big offender. In this episode we dive into the history of protocol buffers and gRPC, then we discuss how the protocol and the implementation can vary and lead to things … | Continue reading
Online platforms and their users are susceptible to a barrage of threats – from disinformation to extremism to terror. Daniel and Chris chat with Matar Haller, VP of Data at ActiveFence, a leader in identifying online harm – is using a combination of AI technology and leading sub … | Continue reading
Natalie & Ian welcome Liran Haimovitch & Tiago Queiroz to the show for a discussion focused on debugging Go programs. They cover good & bad debugging practices, the difficulty of debugging in the cloud, the value of errors logs & metrics, the pract … | Continue reading
It’s been a while since we’ve touched on quantum computing. It’s time for an update! This week we talk with Yonatan from Quantum Machines about real progress being made in the practical construction of hybrid computing centers with a mix of classical processors, GPUs, and quantum … | Continue reading
Today we’re talking about uses for Go in the medical industry. Tim Stiles develops and maintains a Go package for synthetic biology and molecular biology called Poly. It has broad applications for biotech R&D, but also has very direct applications to medicine. | Continue reading
Recently Chris and Daniel briefly discussed the Open RAIL-M licensing and model releases on Hugging Face. In this episode, Daniel follows up on this topic based on some recent practical experience. Also included is a discussion about graph neural networks, message passing, and tw … | Continue reading
Mat Ryer gathers a gang of ghouls and ghosts to tell spooky developer stories! Join us to hear tales of Mat’s $1k nightmare, Dee’s infinite loop of horror, Natalie’s haunted time as a junior dev & many, many more. | Continue reading
This panel discussion was recorded at a recent event hosted by a company, Aryballe, that we previously featured on the podcast (#120). We got a chance to discuss the AI-driven technology transforming the order/fragrance industries, and we went down the rabbit hole discussing how … | Continue reading
In this episode, we’re joined by tech Lawyer Luis Villa to explore the question, who owns code? The company, the engineer, the team? What about when you’re using AI, Machine learning, GitHub Copilot… is that still your code? | Continue reading
After reading Lucas da Costa’s Why deadlines are pointless and what to do instead, I agree with almost every point he makes, especially this one: It’s about time we start calling deadlines by their real name: pressure Lucas goes on to describe how deadlines can cause harm, can’ … | Continue reading
People are starting to wake up to the fact that they have control and ownership over their data, and governments are moving quickly to legislate these rights. John K. Thompson has written a new book on the topic that is a must read! We talk about the new book in this episode alon … | Continue reading
We’re once again exploring hacking in Go from the eyes of security researchers. This time, Natalie & Ian are joined by Ivan Kwiatkowski (a.k.a. Justice Rage)! | Continue reading
Chris sits down with Ankur Goyal to talk about DocQuery, Impira’s new open source ML model. DocQuery lets you ask questions about semi-structured data (like invoices) and unstructured documents (like contracts) using Large Language Models (LLMs). Ankur illustrates many of the way … | Continue reading
Join Mat Ryer on his journey to Berlin for GopherCon EU 2022. Along the way he chats with Egon Elbre, Ale Kennedy, Ole Bulbuk, Christian Haas, Bill Kennedy & Ron Evans. Danke! | Continue reading
We did an episode on functional programming in Go with Aaron Schlesinger back in 2019… But that was before generics were a thing. Let’s revisit the topic and discuss the pros and cons now that we have generics. What’s changed? What hasn’t? | Continue reading