Which AI Should You Actually Use? Claude vs ChatGPT vs Grok vs Gemini (2026 Guide)

We discuss the fast-changing AI model landscape and how users are increasingly choosing models based on cost, convenience, and specific tasks. 

We compare major closed and open-source models, outline which tools work best for coding, writing, real-time use, and image generation, and discuss how memory and context affect enterprise and power-user workflows.

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TIMESTAMPS

0:00 Frontier Model Overload
1:09 Open Source vs Closed
3:20 Ranking Model Intelligence
5:41 Pricing Changes Everything
9:43 Cheap Models and Compute
11:14 Google and Grok Use Cases
15:30 Best Subscriptions For Most
17:41 Picking Models by Task
19:43 Agents and Knowledge Work
22:27 What Comes Next
24:50 Apple’s AI Wildcard
26:03 Final Model Recommendations

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RESOURCES

Josh: https://x.com/JoshKale

Ejaaz: https://x.com/cryptopunk7213

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Not financial or tax advice. See our investment disclosures here:
https://www.bankless.com/disclosures⁠

Josh works with Anthropic as a contractor. All views expressed are his own and do not represent Anthropic, its leadership, or its affiliates. Nothing in this episode is investment advice.

Creators and Guests

Host

Ejaaz Ahamadeen

Host

Josh Kale

What is Limitless: An AI Podcast?

Exploring the frontiers of Technology and AI

Josh:
Over the last 90 days, Frontier Labs shipped 15 plus models.

Josh:
OpenAI shipped three, Anthropic shipped four, Google shipped three,

Josh:
even Meta and Elon Musk shipped Frontier models. The Chinese shipped a bunch as well.

Josh:
And so if you're listening to the show, you're probably wondering,

Josh:
which model should I be using right now?

Josh:
Most of you likely have a GPT or Claude subscription, but you're wondering,

Josh:
should I be using these different models?

Josh:
The truth is, the Frontier landscape of AI models, when it was originally thought

Josh:
to be one or two, has now expanded to hundreds and hundreds of models.

Josh:
In OpenRata alone, you can access 400 plus. And so on this episode,

Josh:
we're going to dig into which model you should use for what particular use and

Josh:
when makes the most sense.

Josh:
And you'll realize that the argument has shifted not from using the most intelligent

Josh:
model, but maybe using the most cheaper model or using the model that's specific for you.

Ejaaz:
You got options, baby. There's a lot going on in the AI space and we're going

Ejaaz:
to help navigate that space because there is a lot of options and it does get

Ejaaz:
overwhelming. I think between the two of us, we've probably touched every single

Ejaaz:
one of these, at least a couple of times.

Josh:
I have too many subscriptions, Josh.

Ejaaz:
So yeah, between our 75 different subscriptions, we have covered these.

Ejaaz:
We have some feedback about which one to use for when, which is best for which use cases.

Ejaaz:
And I guess to start, we have this like pretty helpful visual companion artifact

Ejaaz:
here that can walk through kind

Ejaaz:
of what we're thinking, how we think about this. The first is the split.

Ejaaz:
There are two distinct classes of model when it comes to considering which ones

Ejaaz:
to use. The first is open source.

Ejaaz:
These are Chinese models predominantly. Most of these are your Kimis,

Ejaaz:
your DeepSeaks, like all of those models are Chinese open models.

Ejaaz:
And then we have the actual US models that are all closed source.

Ejaaz:
There's a big difference between the two. And we could see if we scroll down

Ejaaz:
a little bit, the difference in usage between these two, because in June of

Ejaaz:
2025, US Labs accounted for 70% of the tokens generated. And now they're down to 30%.

Ejaaz:
The economics have changed widely. So now that 30% is worth much more than 70%.

Ejaaz:
But it is interesting to note that there has been this kind of reinvigoration

Ejaaz:
of Chinese models over the past couple of months. Now, granted,

Ejaaz:
this is based on open router data.

Ejaaz:
Open router is a single model router instance. This is not reflective of the norm.

Ejaaz:
But it's just worth noting that some of these open source models are pretty

Ejaaz:
powerful for the task at hand.

Josh:
Yeah, I think no one can debate the fact that people have shifted a lot using

Josh:
these open source models. And it's for a variety of different reasons.

Josh:
People want to own their own data, they want to run it privately at home.

Josh:
But the biggest shift, the biggest reason has been because these models are

Josh:
a lot cheaper. And open router data you mentioned only really represents a very

Josh:
niche sector of software engineers that want to experiment with a bunch of these models.

Josh:
But even in the enterprise world, where OpenAI and Anthropic are pretty dominant

Josh:
with their own model share, they've been losing the token market share to enterprises

Josh:
that are trialing and testing different models to save tens to hundreds of millions of dollars as well.

Josh:
And when I look at the main reason why, it's not because the open models are

Josh:
the most intelligent. You'll see in a second as we go through the scorecard,

Josh:
GLM 5.3 from China, amazing model, not as good as Fable 5. You'll look at Kimi

Josh:
K 2.7, you'll think the same thing.

Josh:
Those models are good enough to do the bulk of your own work.

Josh:
It doesn't sound too much like AI slop.

Josh:
It actually just speaks to you normally. And the biggest advantage is it has

Josh:
fewer safeguards, which has its pros and cons, but it basically does the tasks that you ask it to.

Josh:
Now, overall, it's fine if we talk about a bunch of models on this show,

Josh:
but it's good to get an overview, essentially, of how intelligent or how effective these models are.

Josh:
And what we have on the screen here is something known as the Artificial Analysis

Josh:
Index or Intelligence Index.

Josh:
And this is basically the best benchmark to test the general intelligence of

Josh:
these different models.

Josh:
Now, it may come as no surprise to you, but the Claude models,

Josh:
Anthropix models, top this. We've got Opus 5 at the top, which is their most

Josh:
recent model launch. We've got Claude Fable 5.

Josh:
And then, surprising to me, Josh, but Grok 4.6 from Elon, it is just,

Josh:
it is fantastic how effectively SpaceX has been able to pivot from being way behind the model race.

Josh:
They fired their entire AI team, hired a bunch of new folk, acquired Cursor

Josh:
for $60 billion and put out a model in, I think it's like the last six weeks

Josh:
that was able to contend with the top. And the best part is he has all the GPUs

Josh:
and compute to train them.

Josh:
And then if you go further down the stack, you'll see the likes of OpenAI,

Josh:
GPT 5.6 Sol, and a bunch of other Chinese open source models.

Ejaaz:
The question is, what do you make of this? As someone who is just a user of

Ejaaz:
AI, what do you make of this? How do you navigate this?

Josh:
Let me trial this, Josh. Let me ask you this question. Of these models that

Josh:
you see on the screen here, which ones are you using and for what specifically?

Ejaaz:
It's funny because about 90% of the usage comes from the top two.

Ejaaz:
And then 10% comes from everything else. And this is kind of like what I was

Ejaaz:
going for. I'm actually curious, is it a similar thing for you?

Ejaaz:
Like what kind of models are you using?

Josh:
Yes, but okay. So I would say it's around, I'm going to say like 75, 25.

Josh:
And the reason why I have that slight adjustment is because I kind of use the

Josh:
AI model that's most convenient to me wherever I'm getting the information or

Josh:
the inclination to use an AI model. So X is a perfect example, right? I'm scrolling X.

Josh:
I read something from one of these genius AI researchers and I'm like,

Josh:
I have no idea what the hell this means.

Josh:
I tap the Ask Rock button. I'm on Google. I'm searching something, right? I'm on my laptop.

Josh:
I'm like, okay, I'll just speak to Gemini in this. So in that sense,

Josh:
wherever the AI is conveniently placed, I use it there.

Josh:
And I have a feeling when Apple releases like their new AI model in a couple

Josh:
of months or a couple of weeks, actually, I'll probably use it on my phone as

Josh:
well because the models just generally are good enough to answer my basic questions.

Ejaaz:
Yeah, okay. So we're looking at these charts and we're seeing,

Ejaaz:
okay, here's where the intelligence is. Here's where things get a little less

Ejaaz:
intelligent, but much cheaper.

Ejaaz:
And if you're a normal consumer, I have a feeling that cost isn't that big of

Ejaaz:
a deal because the cost differences are really at scale.

Ejaaz:
What a lot of these companies offer, what Anthropoc offers, what OpenAI offers,

Ejaaz:
what Grok and Gemini offer is just the $20 a month, $100 a month, $200 a month plan.

Ejaaz:
You could just pay a fixed amount and get access to a lot of usage of these models.

Ejaaz:
So if you are a general consumer who is able to spend $20 per month on a subscription,

Ejaaz:
you're probably better served going to one of the major iolabs.

Ejaaz:
The product is better. You're going to get more intelligence.

Ejaaz:
You're going to get a more coherent product.

Ejaaz:
I find that a lot of the people who I speak to a lot of the time in my experience,

Ejaaz:
the only real reason to use these open source Chinese models is if you're consuming

Ejaaz:
tremendously large amounts of tokens for, say, agentic tasks.

Ejaaz:
Like if you're running an open claw instance or any sort of claw with a lot

Ejaaz:
of automated workflows, a lot of agents, you may want to defer to some of these

Ejaaz:
cheaper, perhaps the Chinese open source models just to save on costs on the low end.

Ejaaz:
But when it comes to day to day use on the high end, I'd say probably 90 plus

Ejaaz:
percent of the people watching this are best served just getting a subscription

Ejaaz:
to your favorite ai company

Ejaaz:
Using that product. That's kind of how I use it. It's funny that the remaining

Ejaaz:
10% of prompts that aren't done through Anthropic are done mostly through Grok.

Ejaaz:
Like you mentioned, when I'm on X 24 hours a day, it's a good companion because

Ejaaz:
it has access to that database.

Ejaaz:
And then the other one is actually ChashyBT because they have a really amazing

Ejaaz:
image generation model.

Ejaaz:
And I love creating memes or sending images to my friends who are just like

Ejaaz:
using that as the visual component. I find that really compelling.

Ejaaz:
So that's kind of my stack is like mostly Anthropic, sometimes Grok,

Ejaaz:
sometimes chat gpt particularly for the image gen i think when it comes to image

Ejaaz:
gen we used to use nano banana and gemini all the time that was like the top

Ejaaz:
dog i think ever since image gen 2.0 release from chat gpt

Ejaaz:
is very compelling what i like is that it does get actual thinking behind it

Ejaaz:
so previously when you asked to generate an image it would take your words at

Ejaaz:
face value generate the image now it actually does some inference it does some thinking

Ejaaz:
it kind of interprets your message and interprets what it's seeing in the image

Ejaaz:
and then creates a much better output. So that's kind of how I would think

Ejaaz:
of navigating this um like chinese models are certainly a big deal but unless

Ejaaz:
you are kind of advanced super user consuming a ton of tokens perhaps they're not that valuable

Josh:
I will speak from my own personal experience i

Josh:
use the clawed models pretty much all the time

Josh:
but i've started using opus 5 more than fable 5

Josh:
and and this might sound like a silly reason but it's because it speaks to me

Josh:
like a normal human being i don't know what the personality dials are on opus 5 versus fable 5 but

Josh:
they need to do that to fable 5 pronto because fable 5 just waffles and speaks

Josh:
in like archaic prose and i'm just like listen just give me

Josh:
give me the information that i've asked for and do not give me anything else

Josh:
i don't want to have to read,

Josh:
an essay every time i use this right now grok 4.6 i've actually noticed the

Josh:
intelligently josh i don't know if you've tried this on x you probably do when

Josh:
you're like kind of like trying to figure It speaks to you super intelligently

Josh:
and there's less crass about it.

Josh:
If you remember the earlier versions of Grok used to kind of like throw in some

Josh:
kind of like questionable words, slang and phrases.

Josh:
And now it just speaks to you like an intelligent human being.

Josh:
And I think this is because Elon's like, you know, SpaceX is IPO'd.

Josh:
He's got Cursor, very professional researchers involved, and they're trying

Josh:
to target a more enterprise oriented audience. And he said before that Grok

Josh:
4.7 is on its way to being released in a few weeks now. He's aiming for Grok

Josh:
5 by the end of the year. That's literally only in a couple of months.

Josh:
He is really targeting the enterprise landscape because he's seen Anthropic and OpenAI go after it.

Josh:
Now, same as you, on the Chinese models, I am not using any of them.

Josh:
And I admit this might be my own bias because...

Josh:
Mainly, I'm like, I'm not sure, like, I want to go to the efforts of signing

Josh:
up on an account, using those models, and then being like, well,

Josh:
I don't know whether this is giving me the right information.

Josh:
I don't know. I just kind of have this weird trust thing with the US and American

Josh:
brands. And maybe that's like my own fault.

Josh:
And then the one thing that I'll point out across all these different models

Josh:
that we make the point on on the screen here is.

Ejaaz:
I think a bulk

Josh:
Of the companies, Anthropic and OpenAI especially, have focused on making their

Josh:
models really good for enterprises. But as I mentioned earlier,

Josh:
the shift has really happened to open source because...

Josh:
More available models are cheaper and more accessible to people to use. They can run privately.

Josh:
But Anthropic and OpenAI's response to this is, we'll just distill our main

Josh:
model and give you cheaper models.

Josh:
So that's what OpenAI has done, right? You've got GPT 5.6. There's three versions

Josh:
of it. You've got Sol, Terra, and Luna. Luna is, I think, slashed 80% of the

Josh:
price than it was before already a week ago, right?

Josh:
So now it's like competing very much with GLM 5.3.

Josh:
And you've got Anthropic doing the same. I think Opus 5 is like half the cost

Josh:
of Fable 5, whilst being as capable as Fable 5.

Ejaaz:
And they also kept the SANA pricing low too, which is the lowest layer.

Ejaaz:
So that's like, yeah, there's plenty of options there.

Josh:
Plenty of options. And I think this comes down to one thing,

Josh:
and I don't want to make this about compute, but I have to, Josh.

Josh:
I think whichever lab, whether you're Chinese, whether you're like a low tier

Josh:
US American lab, or whether you're the high tier labs, compute will dictate

Josh:
whether you can serve these bottles cheaper, which will basically decide or

Josh:
determine which customers use your product.

Ejaaz:
Yeah. And I mean, this is ultimately coming down to your use case.

Ejaaz:
Like a lot of people won't ever run into this problem because they will never

Ejaaz:
need this thing called an API key.

Ejaaz:
They'll never actually pay per token. They'll oftentimes just pay through the subscription.

Ejaaz:
And if you're using a subscription, you have a couple of options.

Ejaaz:
Maybe this is a good time to go through these subscriptions and what are the

Ejaaz:
offerings of everybody. We have Gemini, which perhaps we could start there because

Ejaaz:
I feel like we've been mean to Gemini recently. We haven't talked much about Google.

Ejaaz:
What's that one? Yeah, like that one.

Ejaaz:
Who's that? They're currently at Gemini 3.1 Pro, which is nowhere really near the frontier

Ejaaz:
um anymore unfortunately they do have nano banana pro which is like this fun cool image generation

Ejaaz:
process they have what i find interesting about google and if you are interested

Ejaaz:
in these tools it may be interesting for a subscription google has these like

Ejaaz:
weird edge case tools that have really interesting harnesses one of them is for music production

Ejaaz:
i remember we've used this on the show many times it's really good at generating

Ejaaz:
lyrics and generating music in a way that sounds very good

Ejaaz:
I've only had that experience on a Google product. I haven't been able to use that anywhere else.

Josh:
Lyria.

Ejaaz:
Lyria, that's right. Yes, Lyria, Project Lyria.

Josh:
Remember we created the jingle for the show?

Ejaaz:
Yeah, so good, dude. So like Gemini and Google is like good for the weird stuff.

Ejaaz:
Like it'll generate you pretty good images.

Ejaaz:
It'll generate you fun music. They have this other tool.

Ejaaz:
This is in like the Google Lab suite where it'll generate you marketing material.

Ejaaz:
So if you have a lot of material from your brand or you have a bunch of logos

Ejaaz:
and you want marketing material, kind of say your logo's printed on something

Ejaaz:
that's staged nicely or you want custom merchandise, It'll do a lot of that

Ejaaz:
for you. So it's fun for those kind of narrow use cases of where the lab's products lie.

Ejaaz:
Outside of that, I don't know, I can't really recommend it that much.

Ejaaz:
It's not the strongest, not close to the strongest.

Ejaaz:
I'd say probably on top of that, we have Grok, which is very quickly catching up.

Ejaaz:
If you spend a ton of time on X like we do, Grok is your best friend.

Ejaaz:
Grok has access to that data that is available in real time on X.

Ejaaz:
If you're looking for current up-to-date news on pretty much anything, Grok is your go-to.

Ejaaz:
It can sort and cite specific tweets from specific moments that are happening

Ejaaz:
in real time and just generally speaking like you mentioned details it's very

Ejaaz:
good at just communicating with you directly

Ejaaz:
there's not a lot of fluff it is a science and technical model it is direct to the point

Ejaaz:
it'll get vulgar with you if you want it's fun to play around with there is

Ejaaz:
the voice mode which is really fun that i've i'd say of all the voice modes

Ejaaz:
that's the voice mode i've had the most fun with is because it's just so

Ejaaz:
ridiculous and oftentimes if you see memes online it is because is the voice behind it.

Josh:
The GPT voice mode just jars me so much. I don't know, have you spoken to it.

Ejaaz:
With the recent update? The new version, I have, yes. So when you say that, what do you mean?

Josh:
And so it sounds more human, right? It like pauses, but it sounds like it's

Josh:
like some sassy person that's talking to me. It does. Like I asked this question and then he goes,

Josh:
hmm, yeah, yeah, like, yeah, like, listen, like, I get it.

Josh:
And, you know, this is what the weather is. And I'm like, yo,

Josh:
I don't need this. I just asked you what the weather is.

Josh:
Like, you know, just tell me what's up. But I agree with you largely on like on Google and SpaceX.

Josh:
What I will say about Google, Josh, is I think they have a similar profile to

Josh:
Microsoft. I'm interested if you agree with me here.

Josh:
Microsoft is not a name that I would draw against the top frontier AI Model

Josh:
Labs. In fact, I think they fumbled the bag massively.

Josh:
But they are embedded across pretty much every single Fortune 500 company,

Josh:
whether we like it or not. Like we just live in our tech bubble.

Josh:
But outside of the tech bubble, people run Microsoft Teams and the Microsoft Suite.

Josh:
And I think Google's in a similar position, essentially, like a lot of new upstarts

Josh:
use Google Docs, Google Suite, and they're just going to click the Gemini button

Josh:
in the same way that I do so because it's just convenient. Do you agree with that?

Ejaaz:
Yeah, I guess there's just a moat to being like the biggest company in the world

Ejaaz:
and having access to all of these kind of legacy enterprise companies.

Ejaaz:
It feels like anyone who has built a business over the last 20 or 30 years has

Ejaaz:
been using Microsoft, has been using Google.

Ejaaz:
They're going to continue to leverage that. It seems like Google is slightly

Ejaaz:
more ahead than Microsoft, if I had to guess. I'm much more excited about Google

Ejaaz:
as a company than Microsoft is, but they both benefit from that legacy customer base.

Josh:
Well, both are amazing VCs, right?

Ejaaz:
Both are incredible VCs. Yes. I think they should be judged not on the quality

Ejaaz:
of their product, but the quality of their investment in the other competitors

Ejaaz:
that are going to crush them.

Ejaaz:
But I do like that, right? It's like they have a hedge. Microsoft owns a large

Ejaaz:
part of OpenAI. That's incredible.

Ejaaz:
Google owns this like massive stake in SpaceX, in Anthropic,

Ejaaz:
in both of these companies that are going to like be huge IPOs,

Ejaaz:
one of which already did.

Ejaaz:
So they are amazing venture funds, perhaps slightly less better AI labs.

Ejaaz:
The two that don't have to benefit from this kind of legacy software are the

Ejaaz:
two that we're probably going to recommend.

Ejaaz:
And in fact, if you scroll down a little bit further, we could see the box of

Ejaaz:
price against intelligence and kind of where each of these models sit.

Ejaaz:
Yeah, this chart right here.

Ejaaz:
And we're looking at those in the top right. this is where most of the people

Ejaaz:
are going to want to live this is where i think we spend all of our time you're

Ejaaz:
either getting a chat gpt or again a cloud membership and like that's that's

Ejaaz:
for the most part that's what most people need uh the differences are

Ejaaz:
small but noteworthy mostly as it relates to the models i mean both of them

Ejaaz:
i can't recommend enough like spend the 20 bucks a month try it just try it

Ejaaz:
for a month if you don't have it see what you think if you run out of tokens

Ejaaz:
upgrade to 100 a month this is access to the same intelligence that all these

Ejaaz:
researchers are making math breakthroughs with

Ejaaz:
and it's really impressive and really capable now each

Ejaaz:
one of these is slightly different i'd say claude is a little more tailored towards coding

Ejaaz:
writing and it's a really strong general purpose model i find with gpt 5.6 soul

Ejaaz:
in particular it's very good at being the

Ejaaz:
High level operator so if you're working on like complicated tasks it's good

Ejaaz:
at creating spec sheets it's good at running checks against the things that

Ejaaz:
you do and then oftentimes like i find that that claude and the fabled models

Ejaaz:
and the opus models are very good at implementation

Ejaaz:
and they're very good with less guidance so the way i've been using these models

Ejaaz:
recently is with less and less guidance i think earlier on

Ejaaz:
i had this whole skill sheet and it was like 15 different skills that would

Ejaaz:
automate different things for me and slowly over time that skill sheet has gone

Ejaaz:
lower and lower and lower and we were talking actually before the show

Ejaaz:
the best way to extract the most value out of these models is just to

Ejaaz:
get out of the way give it the end goal and say like hey go do this thing for

Ejaaz:
me i trust that you have the intelligence to do this i'm not going to put guardrails

Ejaaz:
on it you have the context you can go and do this for me and i think that's

Ejaaz:
mostly where i find myself using this personally is i use fable

Ejaaz:
i i do not leave any fable tokens unused very valuable tokens each week and

Ejaaz:
then opus is the fallback for the general workhorse model and it's been a really

Ejaaz:
powerful combo of just kind of

Ejaaz:
being able to accomplish anything that you want it connects to all of my

Ejaaz:
services i have it connected to my email to my google drive it has access to

Ejaaz:
my files the folders the context

Ejaaz:
and it's just a really helpful all-in assistant it works really well.

Josh:
I think people are also probably wondering, okay, well, what if I don't really

Josh:
care about the general intelligence as much?

Josh:
What if I'm trying to do a specific thing? Which model should I use then?

Josh:
I think there are two things to consider here. Number one is,

Josh:
if you are a software engineer, like AI models have been all the rage for their

Josh:
coding capabilities, but maybe a bunch of you actually like code hardcore companies

Josh:
and you want to figure out which model you should use.

Josh:
I would say in that question, the clawed models and the GPT 516 models are pretty

Josh:
high up there. Codex usage has gone from 5 million users to 15 million users

Josh:
in about a month and a half.

Josh:
I am tired of seeing Thibaut, who is the head of Codex at OpenAI,

Josh:
tweets on my timeline every single time he gets a million user update.

Josh:
But these models are very powerful at not only understanding and reading your

Josh:
code base, but intuitively figuring out what product or feature you should build next.

Josh:
I have a ton of feedback from friends that work at companies that are tech adjacent

Josh:
and maybe not even in tech at all, which use these models to build their premium

Josh:
features. The other thing I'll say is.

Josh:
You know, we're talking about the top right box over here, which is essentially

Josh:
the Pareto Frontier. So if you had to sacrifice something of cost or intelligence

Josh:
or blah, blah, blah, you would still be using these types of models.

Josh:
But if I had to take a bet, if I was a betting man, I would say Grok 4.6.

Josh:
Quen 3.8, and Kimi will be inside this box within a couple of months time.

Josh:
That's going to change the way we use these different types of models.

Josh:
I said before we started this show, it's unsexy to say.

Josh:
But I think the number one AI company that will come out in the next 12 months

Josh:
will be some form of aggregator platform. We saw that Stripe just acquired Open

Josh:
Router for $7 billion, allegedly.

Josh:
We put out an episode of this yesterday. Definitely go check that out.

Josh:
But I think we're going to see these platforms that help you pick and choose

Josh:
which models to use at the right time.

Josh:
It aggregates your memory so it already knows what you want to do.

Josh:
And so you don't have any of the complications around that. I think we'll see

Josh:
a bunch of these models kind of step up there.

Josh:
Now, aside from coding, if you aren't a coder, but if you are,

Josh:
let's say, a general knowledge worker, you go to work, you use email,

Josh:
you use Slack, you use a bunch of these other plugins that you also mentioned.

Josh:
There are models that are specifically good for agentic tool use.

Josh:
And actually, my most recent favorite is Grok 4.6 or GrokBot specifically.

Josh:
This was released from Elon Musk and SpaceX, I think last week.

Josh:
And it basically is an agent or multiple agents that spins up in a virtual machine

Josh:
on like in the cloud. So you don't have to worry about it running on your laptop

Josh:
and hacking all your stuff.

Josh:
And you can give it access to any and every tool and it intuitively understands

Josh:
and gets what you want to do.

Josh:
It can learn what you do over time and it improves.

Josh:
So I think when you look at the Metamuse Spark 1.2 and you might think,

Josh:
oh, that's a meta model. I don't ever use meta.

Josh:
These types of models are gonna become more available for general usage or knowledge work.

Josh:
And I think if that's something that you're inclined to use and you don't really

Josh:
care about the Google search stuff, you'll use Claude for that anyway.

Josh:
These are models that I'll probably look into because they are superior in many ways.

Ejaaz:
Yeah, it's fun to pick one and stick with it. I find that like oftentimes with

Ejaaz:
the aggregators, the right time to use that if you're doing lots of work,

Ejaaz:
if you're generating lots of tokens, if you are just a person who wants to use

Ejaaz:
AI for their day-to-day tasks to help you come up with like a grocery list, to help you

Ejaaz:
cook specific things, to help you go to the gym and give you workout classes and ideas.

Ejaaz:
It's helpful to pick a singular model, a singular service, and then just go deep with that.

Ejaaz:
A lot of the difference makers at this point because i mean most people aren't

Ejaaz:
using these models for frontier intelligence they're not going to solve novel

Ejaaz:
math problems they're figuring out what time they need to get to like the store

Ejaaz:
or the school to like pick up their kids and they just need some help they need a helpful assistant

Ejaaz:
the most helpful thing is context because all these models are more than capable

Ejaaz:
of those kind of lower level tasks the difference maker is the context that

Ejaaz:
it knows about you it needs to understand what are your dietary preferences

Ejaaz:
What are you or anyone in your family allergic to?

Ejaaz:
What have you made in the past that went well, that didn't go well?

Ejaaz:
And it kind of collects this database of information about you that allows it

Ejaaz:
to make better decisions going forward.

Ejaaz:
And that, at the end of the day, is ultimately what the difference maker is.

Ejaaz:
For me, at least, when deciding what model to use, it's like,

Ejaaz:
okay, which model has all the context

Ejaaz:
about me that can help solve my very specific task that I have here?

Ejaaz:
Oftentimes, the answer is Claude because I've been working with it for so long.

Ejaaz:
It just has this, like, huge chain of context. So whenever I ask,

Ejaaz:
like, hey, I need some help in the gym this week, it knows what I've been up

Ejaaz:
to, it knows where I'm at, it knows what the weight has been,

Ejaaz:
it knows what the food has been, and it's able to kind of curate this very custom stack against that.

Ejaaz:
And as someone who is just, you know, not really building anything crazy,

Ejaaz:
they're not using millions of tokens a week, they're just looking for an AI companion.

Ejaaz:
That's kind of how you can think about it. It's like, get a membership,

Ejaaz:
try it out, feed it a bunch of context about yourself, and then get your own

Ejaaz:
personal assistant. And that's kind of, I think, like the best route for most people.

Josh:
So I think to wrap up this episode,

Josh:
It's okay talking about, you know, what the frontier landscape looks like today.

Josh:
But the question is, what is it going to look like in a few months from now?

Josh:
And I say a few months specifically because this stuff moves too quickly.

Josh:
I saw an update from Sam Altman at OpenAI yesterday where they announced that

Josh:
they are slowing down some of their model training runs.

Josh:
And that's because they've noticed that a bunch of internal,

Josh:
more intelligent, unreleased models that they have built has become a lot more

Josh:
misaligned than previous models, which means that it could pose as a threat

Josh:
or danger to any user who gets access to it.

Josh:
And I've noticed the same similarly maybe from Anthropic and a bunch of other

Josh:
frontier labs, where we're starting to see a little bit of a slowdown.

Josh:
And slowdown isn't in the sense that they're necessarily stopping training full

Josh:
stop. Obviously, they're still training internal models.

Josh:
They might be likely to not release models or more intelligent models going

Josh:
forward because of government regulation.

Josh:
And I think this is going to allow a bunch of other Frontier Labs that are behind

Josh:
in this race to be able to catch up.

Josh:
So if I had to guess what three months from now, let's say at the end of the year, right?

Josh:
If I were to make a prediction, I think we're going to have about three to five

Josh:
really good open source models that are as capable as the smartest model that

Josh:
you have access to today from the Frontier Labs like Anthropic and GPT.

Josh:
And I think they're going to have fewer safeguards. So you can use it for any

Josh:
and every use case. I think you can run it privately at home,

Josh:
maybe even off of your laptop. So that changes dynamics quite a lot.

Josh:
I think we're going to have Apple entering the game with their own locally run

Josh:
and trained AI model, which I think is going to change the game because everyone,

Josh:
3.5 billion people in the world right now have one of these or one of the Apple devices.

Josh:
They're going to run that locally. I think it's going to look quite different.

Josh:
I'm curious, you know, We started off this episode with the token split.

Josh:
I wonder what that's going to look like three months down the line.

Josh:
And then the last thing I'll say is, and this might be from my background in

Josh:
general, but I think once someone or.

Josh:
A bunch of companies make it easier to run models locally at home,

Josh:
I think people are going to play around with that more because it allows you to

Josh:
connect it to your fitness app data and not share too many personal anecdotes

Josh:
or data profiles with Frontier Labs, which again, they can use to train their own models.

Josh:
You may not want to hand that over, And so I think we'll see a rise of open

Josh:
source models. That's just my guess. That's interesting.

Ejaaz:
Okay, I'm taking the other side. I'm thinking that no one's going to go through

Ejaaz:
the trouble of downloading the weights and running their own open source models,

Ejaaz:
that Apple is just going to own that entire world.

Ejaaz:
That like for all of the people in the United States that own Apple devices,

Ejaaz:
they're just like, no one's going to even have an idea that they're using AI.

Ejaaz:
It's just going to be Siri. It's going to be competent. It's going to be better.

Ejaaz:
It's already going to be pre-downloaded. I think the user experience is really

Ejaaz:
important. And open source has a pretty horrific user experience.

Ejaaz:
You have to download, run the weights. you often need a lot of hardware to do that.

Josh:
But I'm counting Apple as locally run at home because it's encrypted.

Ejaaz:
Right? Well, if you're counting Apple,

Ejaaz:
sign me up because um we got a lot coming from them their event is happening

Ejaaz:
in like two weeks or something it's very soon we see

Josh:
Some airports with some cameras you sent me a video.

Ejaaz:
Yeah dude we've been getting lots of leaks lately it's really good maybe we have to have cameras

Ejaaz:
yes yes it's gonna be visuals and then they're gonna have apple intelligence

Ejaaz:
baked into it and it's like oh maybe we need a leak episode prior to the actual

Ejaaz:
new iphone unveiling because we have basically now the entire checklist of all

Ejaaz:
the things that are going to be revealed and

Ejaaz:
this to me as like apple fanboy plus ai fanboy is going to be the biggest event

Ejaaz:
ever pretty much because this is the actual rollout of the ai that they've been

Ejaaz:
promising us and failing to deliver for so long mixed with this brand new suite

Ejaaz:
of products that we've never seen before allegedly

Josh:
Up to the delayed two years.

Ejaaz:
But for those of you who came here for models that is the model update that's

Ejaaz:
just about when you'd want to

Ejaaz:
use each one like if you're interested in being on x real-time news feed

Ejaaz:
you want to go with grok if you like to yap a lot the voice model on chat gpt

Ejaaz:
is pretty exceptional that might be a good place for you if you like to be a

Ejaaz:
little more intellectual be thoughtful if you want really just the bleeding-edge

Ejaaz:
models the highest intelligence go with claude

Ejaaz:
and if you like making music and doing just like fun cute things with ai gemini

Ejaaz:
is actually kind of a compelling product

Ejaaz:
there's something for everybody that is the general overview of the models i

Ejaaz:
hope you enjoyed this is going to change certainly in the next month or two

Ejaaz:
whenever these new models i mean we have

Ejaaz:
the new astro model from open ai that has been teased for the last eternity

Ejaaz:
it seems like it's been held up it's going through some i don't know safeguard

Ejaaz:
governmental checks but that's coming

Ejaaz:
so this is set to change tbd but for now that is the state of the model address

Ejaaz:
and yeah hope you guys enjoyed watching

Josh:
Yeah and i'm curious for those of you who are listening what do we miss on this

Josh:
episode? Are you using models in a very different way?

Ejaaz:
Are you using meta models?

Josh:
Yeah, is anybody using meta models? Are there any Facebook users out there that

Josh:
are using meta AI intelligence?

Ejaaz:
Please fill me in.

Josh:
I will say, if you are a marketer or an advertiser, you're probably using meta's

Josh:
model and it's probably making you a hell of a ton more money.

Josh:
If that is you, let us know. If there are any other use cases that we haven't

Josh:
mentioned, please let us know. If you are a locally run open source fan and

Josh:
you're saying, no, people will download the weights, tell us why.

Josh:
Let us know in the comments, DM us. We read any and every single message.

Josh:
Now, if you're listening to this or watching this on YouTube,

Josh:
Spotify, Apple, or wherever you're listening to this, please subscribe.

Josh:
Please turn on notifications and leave us a comment. It helps us out massively.

Josh:
And share it with a friend as well. It helps us out. And I think that is pretty

Josh:
much it. Thank you so much for listening. And we will see you on the Roundup.

Ejaaz:
See you on the Roundup.