BONUS: Our 2026 AI Predictions.... Who Wins, Who Loses, and What Changes Everything?
episodePreviously titled “2026 AI Predictions: Who Wins, Who Loses, and What Changes Everything” — renamed by the publisher on Aug 4, 2026
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What are the AI prediction categories and goals for this livestream?
Hey, hey, hey, what's up, everybody? Welcome to the Neuron Humans. How are you? Hello. Hello, hello, hello, hello, hello. Well, welcome to the few of you that have made it so far. There'll be some joining in here in just a minute or two. um we're really glad to have you here today we're gonna run through our uh predictions for the ai space in 2026. uh i think it'll be a lot of fun you know over the last the just short of seven months we've been doing this we've we've talked to a lot of people we've we've we've both learned a lot as well along the way i would say and uh read a lot of research and uh been to a bunch of events and all of that stuff and just kind of wanted to put this together based on what we see what we hear and uh kind of get an idea of what it looks like and then go back and see how bad we tanked it at the end of the year uh you know you never know maybe we won't you think we're gonna do bad
I don't. I don't. I was looking through my... I've changed mine every minute for 30 days. And I went back this morning and added some things, changed some things, just kind of preparing for this. And it's funny because, you know, the way the news happens so often in the AI space, it's fast. It's fast and something big can drop immediately and change everything. And that is... That has affected my predictions a number of times before they're even going to leave my mouth. Yeah, that's real. So just for some context, while we're getting everything good to go here. We have these broken into a number of categories and we'll kind of back and forth ours, talk a little about each of them as we go. And categories start with frontier models and competitive dynamics, model architecture and technical direction, agents and practical autonomy, interfaces and product experience, platform power, big tech momentum,
developers enterprise and vertical ai uh really these are broken into more than they need to be but just kind of trying to trying to find a way that we could have this conversation and not just be All over the place and crazy. As it absolutely would be otherwise. So there may be ones where one of us doesn't have anything or doesn't really have a thought. And if that is the case, that's totally cool. We'll stumble through. Hardware compute and physical constraints. Consolidation and strategic alliances. Regulation. Evaluation and benchmarks. And economics. Economics. So hopefully this will be a lot of fun, really interesting and a little quirky. Some of them are a little bold. Some of them won't be a surprise at all.
Some of them may anger folks. I don't know. We'd love to hear yours as we go. So if you have different thoughts, please drop them in the chat. We want to know, you know, because it helps us get an idea of what what other people think, what you're seeing, what we're seeing and all of that stuff. Good, good, good stuff. Let's see here. What else do we need to run through? Oh, as of yesterday, we are now one of Apple's top 100 technology podcasts. That's just short of seven months since we started, and we've been really close for a while. Like, we've had some days where it was 108, 113, 106, and been kind of eyeballing, thinking it'd be really cool to at least cross the darn threshold. But we have, and it's really exciting, and we were both having a lot of fun.
uh, yakking about it and just kind of, kind of joking. We were, we're 96 right now, which doesn't sound high, but Apple has 29,500 technology podcasts on its roster. Uh, you know, a thing to know about that is that probably 28,000 of them are defunct, if I had to guess. Um, But either way, we're excited. We're super proud. And, you know, looking forward to doing more and more and more of this as we go along. We also, if you haven't yet, as we get started here, please take a moment to like the video, subscribe to the channel. We really appreciate it. With that said, Grant, how are you doing? Why don't you go ahead and start, and I'll react to it. All right. All right.
Why might diffusion models challenge transformers for text and agents?
Let's do that. Well, let's start with frontier models and competitive dynamic.
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Chapters
8 chapters
1
What are the AI prediction categories and goals for this livestream?
0:32–5:43
2
Why might diffusion models challenge transformers for text and agents?
5:43–9:09
3
How will small on-device language models and AIoT appear in consumer products?
9:09–14:53
4
Who will lead the frontier models leaderboard and how could legacy tech respond?
14:53–1:20:34
5
How will agentic UIs like Cloud Code change everyday workflows?
1:20:34–1:23:42
6
What are current limitations and future needs for image models like NanoBanana?
1:23:42–1:36:02
7
Which companies and chips will dominate AI infrastructure and why does geopolitics matter?
1:36:02–1:50:23
8
How could AGI benchmarks, niche models, and industry incumbents shape 2026 outcomes?
1:50:23–2:40:31
Speakers
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