The Changelog: Software Development, Open Source
Leveling up JavaScript with Deno 2 (Interview)
Thu, 26 Sep 2024
Jerod is joined by Ryan Dahl to discuss his second take on leveling up JavaScript developers all around the world. Jerod asks Ryan why not try to fix or fork Node instead of starting fresh, how Deno (the open source project) can avoid the all too common rug pull (not cool) scenario, what's new in Deno 2 & their pragmatic decision to support npm, they talk JSR, they talk Deno KV & SQLite, they even talk about Ryan's open letter to Oracle in an attempt to free the unused "JavaScript" trademark from the giant's clutches.
Full Episode
What up, nerds? I'm Jared, and you are listening to The Change Log, where each week we sit down with the hackers, the leaders, and the innovators of the software world to pick their brains, to learn from their mistakes, to get inspired by their accomplishments, and to have a lot of fun along the way.
On this episode, I'm joined by Ryan Dahl, creator of Node.js and Deno, his second attempt to level up the world by leveling up JavaScript developers all around the world. We cover a lot of ground. I ask Ryan, why not try to fix or fork Node instead of starting fresh? How Deno, the open source project, can avoid the all too common rug pull not cool scenario?
what's new in dino 2 and their pragmatic decision to support npm we talk jsr we talk dino kv and sqlite we even talk about ryan's open letter to oracle and his attempt to free the unused javascript trademark from the giant's clutches but first a thank you to our partners at fly.io over 3 million apps have launched on fly including ours and you can too in five minutes or less Learn how at fly.io.
Okay, Ryan Dahl on the changelog. Let's do this.
What's up, friends? I'm here with a new friend of ours over at Assembly AI, founder and CEO Dylan Fox. Dylan, tell me about Universal One. This is the newest, most powerful speech AI model to date. You released this recently. Tell me more.
So Universal One is our flagship industry leading model for speech to text and various other speech understanding tasks. So it's about a year long effort that really is the culmination of like the years that we've spent building infrastructure and tooling at assembly to even train large scale speech AI models.
It was trained on about 12 and a half million hours of voice data, multilingual, super wide range of domains and sources of audio data. So it's super robust model.
We're seeing developers use it for extremely high accuracy, low cost, super fast speech to text and speech understanding tasks within their products, within automations, within workflows that they're building at their companies or within their products.
Very cool. So Dylan, one thing I love is this playground you have. You can go there, assemblyai.com slash playground, and you can just play around with all the things that is assembly. Is this the recommended path? Is this the try before you buy experience? people do?
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