In this episode I make a non exhaustive list of machine learning tools and frameworks, written in Rust. Not all of them are mature enough for production environments. I believe that community effort can change this very quickly.
To make a comparison with the Python ecosystem I will cover frameworks for linear algebra (numpy), dataframes (pandas), off-the-she ... Show More
Oct 20
"Rust Is Amazing, as Long as Nobody Looks at It" - Fact-Checking DHH (Ep. 316)
DHH told Rails World that hand-written code is over, that HEY's backend is being AI-rewritten in Rust ("amazing, as long as you never look at it"), and that developer happiness no longer matters. This episode checks his statements. Struggling with AI and Software? Here is my new ... Show More
22m 56s
Oct 13
AI coding agents have a Mythical Man-Month problem (Ep. 315)
Fifty years ago Fred Brooks showed why adding more people to a late project makes it later. Today we do the same thing with tokens — more context, more autonomy, same myth, different currency. Struggling with AI and Software? Here is my new book available for purchase on https:// ... Show More
17m 29s
Oct 5
One researcher published the 'System 1 AI' idea in 2025; a frontier lab shipped it as new in 2026 (Ep. 314)
A 2025 solo-author paper on non-generative decision models, a 2026 frontier-lab launch that looks a lot like it, and what these fast, non-autoregressive models can and can't actually do. Struggling with AI and Software? Here is my new book available for purchase on https://mythic ... Show More
41m 29s
May 2018
Practical Deep Learning with Rachel Thomas - TWiML Talk #138
In this episode, i'm joined by Rachel Thomas, founder and researcher at Fast AI. If you’re not familiar with Fast AI, the company offers a series of courses including Practical Deep Learning for Coders, Cutting Edge Deep Learning for Coders and Rachel’s Computational Linear Algeb ... Show More
44m 19s
Dec 2023
706: AI and ML - The Pieces Explained
In this episode of Syntax, Wes and Scott talk about understanding the integration of different components in AI models, the choice between traditional models and Language Learning Models (LLM), the relevance of the Hugging Face library, demystify Llama, discuss spaces in AI, and ... Show More
33m 1s
Mar 2024
172: Transformers and Large Language Models
Patrick and Jason explain transformers and large language models from the ground up. They cover attention, encoders and decoders, self-supervised learning, RLHF, and the key architectural ideas that made modern LLMs possible.
1h 26m
Aug 2023
Rust for JS Devs — Part 2
In this episode of Syntax, Wes and Scott jump into part 2 of their look at Rust for JavaScript developers, including variables in Rust, type systems in Rust, signed and unsigned integers, and more.
Show Notes 00:10 Welcome
00:43 Audio issue bugs
03:17 Building decks
06:0 ... Show More
56 m
<p>There have been major Rust developments in the Linux Kernel; we discuss what's new and how it will impact the future. Plus, we're joined by a special guest.</p><p>Sponsored By:</p><ul><li><a href="http://tailscale.com/linuxunplugged" rel="nofollow">Tailscale</a>: <a href="http ... Show More
