Ep 820: The Most Important AI Model You’ll Probably Never Use That Just Dropped
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What is the main topic discussed in this episode?
This is the Everyday AI Show, the everyday podcast where we simplify AI and bring its power to your fingertips. Listen daily for practical advice to boost your career, business, and everyday life.
What is Inkling and why is it being called an important AI model you might never use?
One of the more important AI models you've probably never heard of and likely won't use just got released. This may get slept on, but Inkling is a huge release from Thinking Machines Lab. So if you haven't heard of Thinking Machines, they're led by Meera Moradi, the former CTO of OpenAI. So why is Inkling maybe the most important AI model you probably won't use? Because it's now the best open source model from an American company and Thinking Machines is betting on the future of AI fine tuning as a service. The model itself, though, it's multimodal, it's agentic, it's customizable, and it's available through enterprise distribution on day one. Inkling doesn't need to beat every Chinese model or Claude Fable to be relevant.
It only needs to pique the interest of a few cost-conscious enterprises to not only be extremely profitable, but to also help shift the conversation around enterprise AI. Frontier models are becoming so powerful, they can actually fine tune smaller practical models without much iteration or without even much expertise. So has a new category reemerged? Is fine tuning back? And what might thinking machines first major product mean for the broader AI competition? Well, here's the big picture. Inkling could change how enterprises buy AI. So this was just released Wednesday, so hours ago. And it is not the smartest model, but it is strategically important. I think it gives companies a credible American open weight model alternative to Chinese models.
And Inkling could be the... best general purpose open model because it is multi modal, right? A lot of the open source open weight Chinese models aren't many of them are text only. So inkling it is multimodal. It is agentic. And as workflows in the real world lag so far behind model capabilities, I do think that there's a real market for bespoke middle of the pack AI. So on today's show, here's what you're gonna learn. You're gonna learn why an open model matters even if you're never gonna deploy it. You're gonna understand how Inkling reopens enterprise AI options beyond just Chinese open models. You're gonna know why frontier models could make fine tuning practical beyond research teams. And you're gonna know how model shopping is gonna change budgets, vendors, and competitive leverage.
All right, let's get to it. Welcome to Everyday AI.
What are Inkling’s core technical specs and multimodal features?
If you're new here, my name is Jordan Wilson. We do this every day. It's your daily live stream podcast and free daily newsletter helping business leaders like you and me keep up with the nonstop AI updates because my gosh, can't take an hour off. I help you decide what's important. I tell you how to use all this information to grow your company and your career. So it starts here with the unedited, unscripted live stream podcast, but make sure you go to our website at youreverydayai.com. That's your cheat code. We're gonna be not just recapping the highlights from today's show, but go sign up for our free daily newsletter. We're gonna be giving you everything else that you need to know that's happening in the world of AI today.
Cause yeah, it's one of those things you gotta like go and work it out. It's a muscle, use it every single day. And yeah, all the AI news will be in our newsletter. All right, let's get into it. Live stream audience, good to see you. Adam joining us from St. Louis, Jose from Santiago. Angie joining from Montana, Amico, Tokyo. Brian, what's up, Brian? Joining from Minnesota. So let's talk about maybe the most important AI model you'll probably never use. So there's a lot of different factors that have been compounding over the last, I would say, three months. And to put it in a very short summary, Frontier models are probably, for the most part, too much for many enterprises, right? I'll say this, probably the Fortune 500, they can squeeze as much juice and make it worth the cost.
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Chapters
7 chapters
1
What is the main topic discussed in this episode?
0:00–0:17
2
What is Inkling and why is it being called an important AI model you might never use?
0:17–3:10
3
What are Inkling’s core technical specs and multimodal features?
3:10–5:40
4
How does Inkling compare on benchmarks and where does it land versus frontier models?
5:40–10:56
5
What’s the difference between proprietary models and open‑weight models and why does it matter?
10:56–20:09
6
How could American open‑weight models like Inkling reopen enterprise procurement?
20:09–29:08
7
Why is fine‑tuning as a service (Tinker) potentially a strategic reset for enterprises?
29:08–31:40
Speakers
1 identifiedMore from Everyday AI Podcast – An AI and ChatGPT Podcast
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