ChatGPT Just Changed Forever...
The AI Advantage
0:00 It's a big week for Open AI.
0:01 Not just that they released a brand new flagship model,
0:04 GPT 5.5, but also they have a brand new image model.
0:08 Create social media graphics from this thumbnail in three sizes,
0:11 Instagram square, Twitter banner, Pinterest pin.
0:14 And look at that.
0:15 Instagram square, Twitter banner, Pinterest pin, all from one prompt.
0:21 [gasps] So, there's really something for everybody here.
0:23 Plus, a few more interesting AI releases that you should keep
0:26 an eye on in this week's episode of AI news in news,
0:29 a format that I recently reworked to be simpler
0:32 and to focus on the things that I actually care about
0:35 rather than rounding up all the AI news stories
0:37 that you could put to work today as a non-technical user.
0:40 Let's start by looking at GPT 5.5 cuz this is the big one.
0:43 And let me be up front, people, including me,
0:46 are still figuring out if this is going to make a difference in their workflows,
0:50 in the ones that they already have.
0:51 Because this model is not optimized for chat.
0:56 Igor, a new chat GPT model that is not optimized for chat?
1:00 What does that mean?
1:01 It means that AI is shifting.
1:03 My first impression of GPT 5.5 is that it is it is different.
1:08 As I talked about in the upload earlier
1:10 this week showing the three different levels of AI,
1:12 which I'll be referring very often from here on out, AI for answers,
1:16 AI as a work partner, and then AI working for you.
1:19 That top level is the agentic level where AI is doing things for you.
1:23 And this model has been developed for exactly that.
1:26 It's made for long-running tasks that are complex.
1:30 I mean, I sight.
1:31 It's designed for complex work like writing code, researching online,
1:35 analyzing information, creating documents and spreadsheets,
1:38 and moving across tools.
1:41 Now, sure, this happens in chats, too, but primarily these are agentic tasks.
1:45 Agentic coding is its headline capability,
1:48 and they keep reiterating this ability to take super messy
1:51 inputs and turn them into structured outputs that actually make sense.
1:54 Meaning, you can just bring a bunch of notes and say, "Hey,
1:57 turn this into a presentation." And it will do it for you.
1:59 Now, I'll show you some examples in a second here,
2:00 but across the internet, people are unsure.
2:03 Just like with Opus 4.7, the reviews are mixed,
2:06 and I think the reason for that is we've
2:08 sort of plateaued in terms of user-friendliness in chat applications.
2:13 And when it comes to writing code,
2:14 the bar is so high already with such good models out there that really
2:18 a lot of these new models just feel like a different flavor of really good.
2:23 But rather than just reciting what people say across the internet,
2:26 let me actually show you some examples of this in action.
2:29 And as always, I'll stay as transparent as possible.
2:31 This was the very first prompt we ran.
2:33 It's something that worked in Opus 4.7
2:36 when that came out last week, immediately.
2:38 And Opus 4.7 nailed it.
2:40 GPT 5.5 thought for 3 minutes and 12 seconds,
2:43 and it created this YouTube repurposing application,
2:47 which actually ended up not working on its first shot, whereas in Opus it did.
2:52 Oh, what a loser.
2:54 How do you access it in chat?
2:55 Well, that's actually quite simple.
2:57 You just go here to your model selector at the top,
2:59 and by default you'll probably be on instant,
3:01 and this model now hides behind thinking and pro on paid plans,
3:05 plus pro, business, and enterprise.
3:07 And you can see this clearly if you go to this configure option,
3:10 and you'll see that instant runs on the older model 5.3,
3:13 quick replies, and the new thinking and pro models,
3:16 if you pay for the $200 pro plan, are available in here.
3:19 So, if I switch to thinking, I can actually pick the thinking effort.
3:22 For the testing examples, we defaulted to extended because also Opus is not like
3:26 a heavy thinking model that goes ahead and thinks for 5 minutes,
3:28 so we tried to pick similar settings here.
3:30 Now, here's an interesting one.
3:31 I always run this prompt, right?
3:33 Create an SVG of the Death Star in the sky above Los Angeles,
3:36 just to show its ability to, I don't know, visually represent something.
3:40 And this is the first model that is actually, hmm,
3:43 I don't know, maybe too smart for its own good.
3:45 Look, every time I try this, it starts thinking through this process,
3:47 and it's like, "Hmm, do we really want to make an SVG?
3:50 Maybe I should make an SVG manually." Or just make it.
3:53 Come on.
3:54 In this case, it gave me a path to file I can't even access.
3:57 In a previous testing, it sometimes switched to the image tool,
4:00 and it generated a PNG of what I asked for.
4:03 And then when re-prompted, it got this data path again.
4:05 So, not perfect.
4:06 It's sort of like overthinking it.
4:10 Again, it's the point that I started with.
4:12 I don't think this model is made for chat, and that's fine.
4:16 I will be testing this with my agentic setup.
4:18 I want to see if this performs with my open cloth.
4:20 But in chat, I don't know.
4:21 I don't think I've seen a release where out
4:23 of the few basic test cases that we run,
4:25 as I just show you, multiple don't actually work.
4:29 Now, I want to be clear, this is not me saying that this is a bad model.
4:32 For example, we ran another test prompt
4:34 where it builds this, um, space shooter game.
4:37 And this is by far the best space shooter I've ever seen out of an LLM.
4:41 Look at the complexity of this thing.
4:43 This actually looks great, 3D space.
4:46 Look at all that.
4:47 So, clearly it's doing something right.
4:49 But what I am saying is that I don't think this is a model made for chat.
4:52 And my conclusion on this is hmm,
4:56 I think Open AI is getting ahead of its current state of chat GPT.
5:01 And what I mean by that is that in the next week or two,
5:04 or I don't know, maybe three or four, but definitely shortly,
5:07 I think we'll see an overhaul of chat GPT and it will turn into something
5:11 that is a bit more agentic because
5:13 clearly that's where the entire space is moving.
5:16 And they are the prime consumer application,
5:18 and maybe they're just putting this model in there now as a first step.
5:21 If you're making stuff, it's great, you're going to love it.
5:23 For everyday tasks, it's similar.
5:25 But for some of these specialty tasks,
5:26 it just seems like chat is a bit too limiting for what it actually wants to do.
5:30 Okay, so that's GPT 5.5.
5:32 But if you're using a chat GPT,
5:34 there's another big release that happened this week,
5:36 and this one is actually exciting.
5:38 So, you know they had an image generator.
5:40 Now, there's a new image generator.
5:41 It's called GPT Image Tool, and it's so fun.
5:44 First and foremost, what I tested right away
5:46 is how good is it at retaining people's faces.
5:48 This was a big thing inside of Nano
5:50 Banana and why it was so popular with people.
5:52 You can upload an image of yourself, like me right here, and say something like,
5:56 "Create professional headshots of me." And then look at these.
5:59 All of them actually maintained my face.
6:01 They didn't try to regenerate another person who kind of looks like me.
6:05 This is actually me.
6:06 Big win.
6:07 And this is accessible to all chat GPT users, including free accounts.
6:11 Really great stuff.
6:12 Now, a few more things to be noted here.
6:14 First of all, I believe this is the first imaging model from one
6:17 of the big providers that allows you to turn on thinking mode.
6:21 So, in practice, if you enable image creation like so,
6:24 you could also go up here and say thinking, and all of a sudden it will think
6:29 multiple rounds before it goes ahead and creates image,
6:32 which can be really good with, well,
6:34 something like animal infographics right here.
6:36 Let's just go with the preset example.
6:38 And while that generates, let me show you what we actually did with this cuz I
6:42 thought this one was really impressive because it's not just good at creating,
6:45 but also editing and repurposing.
6:48 One of the big new features now is it can output up to eight different images.
6:51 So, I just went ahead and uploaded a recent YouTube thumbnail.
6:54 This was the video on the free level framework.
6:56 I highly recommend watching that if you're a long-term viewer of the channel.
6:59 I'll be referencing this over and over again.
7:01 It's really good.
7:01 It talks about how to get into agents.
7:03 And I said, "Create social media graphics from this thumbnail in three sizes,
7:06 Instagram square, Twitter banner, Pinterest pin." And look at that.
7:10 Instagram square, Twitter banner, Pinterest pin, all from one prompt.
7:16 I am critical of these things.
7:18 The composition is good.
7:20 No, it's not good, it's perfect.
7:22 Look at it resizing the font in a way that is actually tasteful.
7:26 To me, this is unbelievable.
7:28 It does the work of a graphic designer, right?
7:30 You could now repurpose one thing into many others easily.
7:34 Beyond that, it has near-perfect text rendering.
7:36 It can do entire restaurant menus,
7:38 and it's not like every fifth word has a little mistake.
7:40 Now, it's actually near-perfect.
7:42 It can output 2K resolution.
7:44 It various formats as you just saw right there.
7:46 And they dramatically improved the instruction following,
7:49 meaning if you tell it to include certain words,
7:51 it will actually include them rather than take creative freedom with it.
7:54 And yeah, also as I showed you,
7:56 the ability to actually retain your face and like
7:58 remix yourself into different situations or create professional headshots,
8:01 that's a really popular use case, is,
8:03 I would even argue, better than Gemini's Nano Banana Pro.
8:06 Overall, I'd state that this is probably the best and certainly
8:09 the most user-friendly and useful image generator out there now,
8:13 and it's available on all accounts.
8:15 Go and try it now if you haven't done so yet.
8:17 And those are the main stories for this week,
8:18 but there are a few things that popped up on my radar that I wanted to share.
8:21 Again, as I shared last week,
8:22 I want to drop this responsibility of covering everything
8:25 that came out in AI that you could use.
8:28 I'm rather I'll do this radar segment
8:29 of like interesting stuff to keep an eye on.
8:31 And one of them is Claude Cole work adding dynamic artifacts.
8:36 And listen to this, if you code up an application,
8:38 it can become a permanent part of your workspace.
8:41 And then you can pin it to the side, and application can now,
8:45 and this is the kicker, take in live data from your connectors.
8:49 So, if you use some application that works
8:51 with your existing emails and you connect it to Gmail, well,
8:54 every time you open the app,
8:55 it will pull in your newest emails or any other data from another connector.
9:00 This makes creating custom apps with custom
9:03 data so much simpler than ever before.
9:05 It's so fascinating to watch
9:06 these user-friendly personal agent type applications develop.
9:10 And as I said, I think Open AI will be following suit
9:13 here because they'll need a Cole work type application in their own ecosystem.
9:16 And I think they're going to evolve chat GPT to that very soon.
9:20 Also interestingly, and this is more of the developer side of things,
9:23 if you're building something or want to use this, there's
9:25 a deep research Max API now from Google Gemini.
9:29 So, if you're familiar, it's basically deep research,
9:31 but it can connect to your data,
9:33 the web, and generate full reports in just one API call,
9:36 which just crushes all benchmarks.
9:38 This seems like the best research tool on the market.
9:41 And then also, finally, I want to mention Claude design that came out last week,
9:45 which was Anthropic's first stab at a design tool.
9:48 Looks really solid, and people are using it.
9:49 You create marketing materials, pitch decks, app prototypes,
9:53 and you could even export directly to Canva or PDF.
9:56 And this makes them the first major AI company
9:59 to ship a full visual design product inside the chatbot interface.
10:03 Worth looking into if you make design assets
10:05 or are even into something like email marketing,
10:08 social media content creation, or similar.
10:10 Heck, people are even experimenting and making
10:12 these little PowerPoint style videos with it.
10:14 And that's everything I wanted to share with you today.
10:16 Busy week.
10:16 We've been preparing and holding the AI Advantage Summit,
10:19 online conference designed to save you time with AI.
10:22 And I just want to again highlight that this is
10:24 really geared at people who are not at level three yet.
10:26 We're not building agents.
10:28 Entrepreneurs, small business owners,
10:29 or professionals who are non-technical and are
10:32 figuring all of this AI stuff out.
10:33 If you're interested in that, it was also re-streamed on this channel.
10:36 You can find it under the live recordings for the next 7 days.
10:38 And with that being said, my name is Igor, and I hope you have a wonderful week.