Welcome to Artificially Intelligent Marketing, a weekly podcast where we stay on top of the
latest trends, tips and tools in the world of marketing AI, helping you get the best
results from your marketing efforts.
Now let's join our hosts, Paul Avery and Martin Broadhurst.
Hello everybody.
Welcome to Artificially Intelligent Marketing episode 44.
And you were all thinking, where have the guys gone?
I haven't heard from them for ages.
And we are sorry, but we are here today because it's been a fairly big week in the world of
AI.
And so we thought what better time to bring our podcast back alive than this week.
So it's me, Paul Avery here, co-host as usual with my fantastic partner in crime, Martin
B. How are you Martin?
I'm glad to be back.
It's just nice to be back, isn't it?
Yeah, everyone thought we'd forgot, but we hadn't.
We're still here.
Right.
We are very sorry because we've been off air for probably as many as eight weeks now and
a lot of cool stuff happened.
And so make sure you sat down, get a coffee.
We are going to go, oh, super speedy through a lot of different things that happened.
We're not going to go through them in too much detail.
They're probably old news now, such as the speed of things in AI, but some of the things
are cool.
What did we miss?
Well, we missed figure one, the robotic company who partnered with open AI on a very interesting
demo where they basically gave the figure robot open AI GP GPT-4 vision capabilities
and text capabilities and speech capabilities.
So basically the figure robot could see what was going on around it, interact with a human
and basically respond to queries.
It was kind of cool.
That was pretty awesome.
What else happened, mine?
Well, we had Devon, which was a AI powered software engineer was previewed to much hype.
It was able to autonomously plan and then execute a bunch of tasks, completing 14% of
actions unassisted compared to about one or 2% of actions.
However, when you scratch the surface slightly, a few people are somewhat skeptical with the
performance and I don't think this is something that's going to be production ready in a hurry.
But it was for a brief moment, at least an exciting look into the future of agentic.
Agentic, mine got the word agentic straight in.
He would just straight back in the mix and he's getting the word out.
I love it.
I know this is how we need to roll.
Other things that happened is Claude three, right?
Claude released a new model.
They have a bunch of flavors, Haiku, Sonnet and Opus.
Opus being the biggest model, super powerful and for a short while, at least took top model
spot off of GPT-4 for many use cases.
We played with it lots, Martin and I, we found it better at writing in terms of its stylistic
capabilities and just to write more naturally like a human.
It also was awesome at things like needle and haystack tests.
It was really, really good at summarizing things like cool transcripts.
Didn't really miss too many important details and was pretty awesome.
But of course, there was some news this week, both from Google and from OpenAI that might
surpass some of that.
But we had Claude three.
What else do we have, Martin?
Hey, Jen, the AI avatar company that specializing lots of video production, they created a user
generated content tool, meaning marketers can use Hey Jen avatar to create what looks
to be user generated content.
Now there is obviously a question around should you be using fake user generated content?
That was an ethical question there.
But I think if you want to overlay some customer reviews that are genuine and push them into
video content that looks like real users working at home or in the office or move, speaking
directly to camera, then Hey Jen with the UCG update can enable you to do that.
That was actually really weird and cool because we've obviously shared quite a few Hey Jen
things on, you know, when we're out on the speaking circuit or running conferences, running
conferences, speaking conferences.
And the videos are getting so much better now that even like the little bits that made
it kind of a telltale that it was AI generated are starting to disappear, aren't they?
They're starting to look much more like truly a human speaking.
Yeah, very much so.
Just the lip sync, all of those little elements that would give it away are greatly improved.
Crumbs crazy.
Other stuff we had Lama3 from Meta, they released the new version of their model.
Interesting thing about this one is Lama3 also has three flavors, different size of
models, in essence, different levels of capability.
The smallest model is lightning fast, basically real time response.
The middle model is the one that is the most powerful that they've released so far and
is at least in some of our tests, almost as good as GPT-4 for certain aspects of things
you might be trying to do.
For example, summarizing call transcripts, but it's not even the biggest model, which
they haven't released yet.
So one has to wonder, they're still training it to be honest, it's one of the reasons we
haven't seen it.
But when it comes out, I think we can have expectations that it will be a GPT-4 killer
if indeed OpenAI haven't killed their own GPT-4 with their own, you know, the king is
dead long live the king from OpenAI.
But that's something we'll talk about in a moment.
Yeah, Lama3 is a really interesting one.
It performs really well at lots of human interaction type tasks of answering questions and producing
copy, but in the LLM chatbot arena, where it will often fall down is on things that
require maths capabilities and isn't as good at say coding as the other models.
What else do we have mine?
We had Amazon Q. So Amazon has released a generative AI powered assistant that comes
in two main versions, Amazon Q Business and Amazon Q Developer.
Amazon Q Business is an AI powered chatbot that can answer questions, provide summaries,
generate content based on data from an entire tech stack for enterprise systems.
So taking data from Salesforce, Slack, Microsoft Office 365, things like that.
And Amazon Q Developer is something that obviously assists software developers and IT.
The professional so it can help with coding, debugging, testing and has some multi step
reasoning capabilities, plugs into 40 different enterprise data sources and has all of the
enterprise grade security functions that you would expect.
Yes.
We also have Microsoft news that Microsoft is developing its own new large model called
MAI1, which is going to be led by Mustafa Suleiman, who was the CEO of Inflection, which
created the product PI that we really like for a while until Microsoft basically gutted
PI by bringing all of their stuff over to Microsoft and effectively almost purchasing
Inflection and the company behind it by buying all of their graphics cards that they got
from Nvidia to train models on.
That's probably an oversimplified summary.
But basically, Microsoft went, let's go get some more talent and let's build our own
model.
And that's interesting in the context of Microsoft's partnership with OpenAI at the same time as
OpenAI appears to be dancing rather close at the party with Apple, maybe even whispering
some sweet nothings into Apple's ear around putting their latest models and their technology
into Siri.
So there's a bunch of uneasy partnerships forming and it's interesting to see that Microsoft
is now working on its own large model.
Watch this space in terms of figuring out how that is going to play out.
As well as that, we had the first commissioned music video produced using OpenAI's Sora.
So I actually don't know the name of the band that did this, but it was quite an interesting
production process.
And if you've been watching, I don't know, Paul, if you've read any reports of people
that have been using Sora and trying to use it as a creative tool, it sounds like it's
as easy and straightforward to use as using the early versions of Mid Journey.
Yeah, I think it was an independent artist called Washed Out and the single was called
The Hardest Part.
It is interesting.
Today I think I sent you an article on the WhatsApps about one of the preliminary testers
of OpenAI's Sora video model coming clean that their impressive video with the balloon
head was not quite as AI generated as it appears because the way that that example was positioned.
And I think we even talked about this a couple of months ago in our last series of episodes.
I think we had an episode on Sora if I remember rightly, but it looked like the whole thing
was obviously edited by a human, but had been generated by Sora.
But actually, no, sometimes it generated a floating balloon above a human and they had
to like rotoscope out the human's head, which is not how it was made to appear.
So yes, Sora is early Mid Journey.
It does cool stuff.
It almost sounds extremely difficult to control and get what you want out of it.
Obviously most of us don't even have the chance to play with it yet.
So I think you're right.
I think it's video is a really cool area that's improving very quickly, but our ability to
actually get interesting stuff that we want out of it is probably a couple of years away
if Mid Journey is anything to go by.
And then what else do we have?
We had Alpha Fold 3.
So I'm obviously a biologically nerd working in life science marketing and Google Deep
Mind bringing out their Alpha Fold 3 is pretty cool.
So Alpha Fold 3 is an improvement on Alpha Fold 2 because now I can predict the structures
of not just proteins, but also DNA, RNA, ligands, and also when they are interacting.
So the goal is to move ever closer to being able to simulate biological systems in a computer
so that you can predict how different things will interact to help you identify interesting
new drug targets, but also more rapidly and easily digitally screen for drug candidates
that might interact with those things and get the outcome that you want, whether that's
trying to treat Alzheimer's or reduce inflammation or treat cancer.
Is a lot of excitement about this and I'm very excited about it as well, but there is
still a need to validate what the computer thinks through wet lab research and then put
those things in clinical trials.
So I think if you hear too much hyperbole around how this is going to impact the drug
discovery process, it is an awesome tool.
I think it will speed up basic research a huge amount and I think it will also help
with huge amounts of the drug discovery process and chop some of the time it takes to find
interesting drugs.
But there's still some stuff that you have to do in the real world, unfortunately, as
it stands, but it's still a big leap forward and it will be super cool to see how people
play with it.
Thank you for letting me nerd out a little bit on that one for a while, Martin.
Well, these things are only going to get better from here on it, right?
So Alpha Fold 2 was what last year?
Maybe even older than that, I would say, maybe 2022.
2022.
Well, yeah, I think so.
It's pretty recent, right?
And this is a big step change in a very exciting domain.
Crumbs.
Well, we may even have digital twins.
We might be simulating humans at that point.
And then, of course, being able to figure out how drugs are going to interact with things
when you can simulate maybe a brain or a heart now.
We're quite into interesting territory in terms of what you might need to do in the
real world versus what you can do in the old computer.
Well, let's do we see Martin one more.
We saw the takedown.
It's the only way of some well-hyped AI hardware.
So the Humane Pin and the Rabbit R1, which were two pieces of AI powered hardware that
had been previewed many months ago, the first editions of them got into the hands of tech
reviewers, MKBHD, one of the biggest reviewers of tech on YouTube, does fantastic reviews.
He was one of the first to put out some reviews of both of these tools.
And yet they didn't didn't land well.
They're half baked.
They don't really do anything that you can't do on a smartphone.
The user interface for them is just clunky.
Everything about them is just hard to use and not at all appealing for anyone.
So yeah, what's this space?
I haven't had any interest in buying either of these, but I have pre-ordered the Limitless
Pendant, which is a piece of AI hardware, and that should be arriving within a matter
of months.
So hopefully that is slightly better.
Given the reports that came in about these pieces of tech, I wouldn't hold your breath.
Although obviously what you have acquired is cheaper and simpler and much more likely
to work, I would think.
We haven't had time to talk about the upgrades to Meta's Ray-Ban glasses that have a mic
and a camera that are becoming AI enabled.
So in essence, you can talk to them.
And if you think about some of the sort of 10 net, I can say it in a minute, technological
leaps that we've seen this week, that form factor speaking to your glasses while they
can see the world around you, even before we get to technology that can overlay information
in your view, which of course is not currently possible in that type of simple glasses form
factor is actually going to be quite interesting.
So while some of the early technology hasn't quite panned out, I think we're still just
trying to figure out what's the right form factor for different applications.
But you said are we better off having apps on our phones, apps on our watches, smarter
glasses?
What I think Rabbit and the Humane Pin have shown is probably those form factors are not
that great.
Although I think people have had fun playing with the Rabbit.
It just couldn't do 90% of the stuff that it was touted to be able to do.
Maybe it will be able to at some point.
And they're both really slow at responding, which of course is a very frustrating user
experience.
So maybe we can use response times nine as a little cheeky segue into one of the bigger
weeks that we've had in AI this year, because we're going to spend the most of the rest
of this episode talking about open AI releasing GPT-4-0.
Yes, these model names are a pain to try and remember and pronounce.
Please hire a branding expert at some point, someone.
And also Google I.O. conference this week, developer conference, where they also announced
a number of significant upgrades to some of the technologies they've released recently
and also gave us a sneak peek of where their technologies, their AI enabled technologies
for business and of course marketing, where they expect them to go in the future.
To kick things off, Martin, why don't you tell us what open AI have been up to this
week?
Well, they had a live streamed event from their offices where they announced, as you
say, GPT-4-0.
O stands for Omni.
This is their multi-modal GPT-4 version.
So it's fully multi-modal within the same neural network.
So what that means is text input, text output, image input, image output, which is what we
really interesting and we'll talk more about that in a moment, audio input and audio output.
So if you've been using the chat GPT app on mobile, you've probably tried the voice input
where you can try speaking to it and it will talk back to you.
That was a clever little piece of software engineering by OpenAI where what they did
was they plugged multiple models together.
So you had OpenAI whisper doing the transcription for your voice and then they had their own
text to voice service transcribe open eyes, GPT-4's responses and speak it back to you.
So it was basically cobbling together multiple models to give you the impression of this
fully interactive experience.
Now using GPT-4 O, all of that is within the one model.
So the experience for the user will be much quicker.
The model itself, GPT-4 is as good in terms of quality outputs as GPT-4, so they claim,
but they're able to offer it at a 50% price reduction, meaning they've made it incredibly
efficient, much more compute light, so it doesn't use as much resource per inference.
So every time you use it, it just isn't using as much energy and computing power.
That's one of the biggest developments really is that they've managed to create this model,
which is so much more efficient.
And what that has enabled them to do is release GPT-4 O for free to all chat GPT users.
So where free chat GPT users previously only had access to GPT 3.5, which as we know is
at this stage, not really a great model.
It's pants.
It's pants, Mike.
Yes, it's pants.
Now everybody gets this state of the art model for free.
And they also get that multimodality experience as well.
This isn't actually launched for everybody just yet.
This is coming.
It's a few weeks away from being fully rolled out and deployed worldwide.
But this is what users can expect to see.
And you've got to think that this is going to be huge for open AI because there are reports
that I've seen that suggest chat GPT stickiness isn't very high, that people will sign up,
use it once and then go, oh, yeah, that was kind of interesting.
But it was a little bit disappointing.
And that's probably because they were using 3.5.
But now everybody's going to be able to get the state of the art intelligence for free.
I think this is critical, Martin, because how many people do we speak with who don't
have a pro account, who believe that the quality of large language models is what GPT 3.5 can
do?
They use chat GPT because it's the one they've heard of.
They haven't even thought to go and have a play with Claude because they just haven't
heard of it.
And are left thinking, oh, AI, why is everybody excited about AI?
It sucks when actually it's GPT 3.5 that sucks.
And 4.0 doesn't suck.
In fact, it's rather awesome.
So I think this will be the opportunity for people.
I hope people go back and play again and are like, oh, OK, this is why people were impressed.
And there are other models coming soon.
We know this is true.
But I do think this will be enough to make people go, actually, I can perform some work
functions with this.
So I think that power in itself is pretty exciting.
Before we even get into the expanded capabilities of what multimodal, omnimodal, whatever they're
calling it, what it enables.
Yeah.
So let's go straight into those, shall we?
The first big thing that they really previewed was the voice capabilities.
And if you ever used chat GPT voice mode previously, you'll know that it was a little bit laggy.
There was a three or four second delay between you speaking into the model and then getting
a response back.
That's because there were multiple steps in it.
As I explained earlier, it was describing, it was then sending it off and doing a bunch
of other processes with multiple models.
Now because it's all within the same model, it's much, much quicker.
So having a conversation in voice mode, which is just like having a conversation on the
phone, the model speaks back to you with a typical delay of around point two to point
three seconds.
So a third of a second delay quicker than a human.
It feels like that.
It's so quick.
But also the voice, the voice Paul.
Crumbs, the voice.
I mean, Sam Altman and a bunch of other people were just basically tweeting the word her,
which for those that have seen the movie, the 2013, I think movie about AI companions,
AI assistants that speak and sound and empathize like humans, but basically live in your ear
as an earbud speaking to you all day and they can see what you see because of a ironically
humane AI like pin or perhaps the equivalent, I guess, of putting your phone in your top
pocket of your shirt or your jacket.
That's kind of been sci-fi pinnacle of, oh, wouldn't it be cool if you had the opportunity
to interact with a computer like a human, but crumbs, this is pretty close to that.
The female voice sounds like it's like it laughs.
It kind of almost is borderline flirty, which I think some people have found like a bit
creepy.
But if you think like humans show a lot of dynamism in how they communicate, right, they
do laugh, they do tease, they do emote, I guess is the word.
And this feels like a massive jump forward to me.
Like I can't believe that more people are not speaking about it because it's like a
human.
Yeah, it's because the model itself has the ability to understand voice and it isn't using
a text to speech to generate the voice.
Like you say, it can emote.
It can, if you ask it to speak faster, it will speak faster.
If you ask it to slow down, it will slow down.
If you ask it to whisper, it will whisper.
It can do all of that within the voice.
And also, in the input of the voice, when you speak to it, it can detect those emotional
ranges.
So if you are excited, it will detect that you're excited.
If you're sad, it will pick up on the fact that you're sad.
If you sound somewhat confused or sound a little bit sarcastic, it will pick up on all
of these things.
It's crazy.
And people, I don't think, same as you say there, I think people are sleeping on this
slightly, because this capability is, yeah, I mean, it takes AI to another level.
And we should also say that in a number of the demos, you have the demos during the live
event, but there's also a bunch of videos on the OpenAI site, which I recommend everybody
interested in this goes and watches.
So we've got humans interacting with chat GPT in essence, speaking to it, it speaks
back in near real time.
So it's like having a conversation with a human.
But you can also screen grab images or take pictures on your phone and send those and
effectively live stream video to the app so it can see what you see or what you're doing.
And this just opens up a huge amount of use cases.
So one of the example videos, somebody gets two phones and they let one version of chat
GPT speak to another version of chat GPT.
And it mimics the customer service conversation about returning an iPhone.
And the whole thing happens without any human input right up to the end when one of the
chat GPT asks for the person's email address so that they can send over details on how
to do the return shipping.
And the other chat GPT says, please hold and then goes, Bob, check your email.
Did you get an email from the service provider or something similar to that?
And it was like, wow, this is not far away.
The customer service on the phone is very, very close to getting the level of disruption
that we all predicted was going to come.
In another example, we had the team from the Khan Academy showing a demonstration of how
the tool could be used as a personal coach and tutor.
And in this example, using the new desktop app, which has also been released, and it
looks like it will be on iPad and Apple devices to begin with, not Windows.
We'll be looking back at some of the friction and tension that we talked about at the beginning.
But in this particular example, a teenager is being taken through a fairly complex math
problem, you know, teenage 14 year old mathematics problem around right-angled triangles and
what have you.
And because chat GPT can both have a conversation with the person, but also see what's on their
screen, it can ask questions and provide feedback to the person about what they're trying to
do.
And this is fundamentally mind blowing because we Martin and I were talking off air.
This fundamentally changes how these tools can interact with us.
If chat GPT can see your desktop while you're working, you can ask it questions when you
get stuck and it can be constantly watching what you do, obviously privacy and a number
of data issues around how we feel about that.
But basically coaching you on how to do things well, like I'm written an email, I'm about
to send it before I do chat GPT just says, Paul, just so you know, that last statement
is a bit confusing.
You might want to consider rewording it because other people might not be able to understand
it.
Do you want me to have a go at rewording it for you?
Yes, please.
Chat GPT or maybe I don't know if you realize Paul, but that last statement could be seen
as a bit inflammatory.
Do you want to soften it down for this email?
Yes, chat GPT.
I think that would be a good idea.
Not least part of the announcement that seems to have gone live today is the ability of
chat GPT to natively integrate with Google Drive and Microsoft OneDrive files.
So we can actually pull information from your existing system.
We're probably not that far away from it doing that dynamically at the moment.
You have to tell it what file you want to work with.
So it can say things like, Paul, do you think it would be useful to attach this thing to
this email, given that it's about this topic?
Like this is how the world is going to be very soon.
I think Martin and it's.
I think we've got the potential for all of us to have at work and AI coach helping us
get better and better at what we do with personalized coaching, which I think would be amazing.
But the downside of that is once it gets good enough to coach us on a lot of these activities,
all it needs is the power to be able to move your mouse and click for you.
And then it's do you need the human to be doing the things at all?
And I guess that's where it gets a bit draconian.
And we were talking offline, this is kind of weird.
Like where's this going to head out?
Head out.
I don't know what you think about some of the stuff, Mark.
It's pretty mind blowing.
I mean, it still makes mistakes.
So I think that's that's going to work in the human's favor for a while until it is
reliable to such a degree that you can you can just chuck it a task and know it's going
to get done at the moment.
It does still make mistakes.
I've tried it with some coding tasks.
And I mean, before this call, I was saying it's amazing.
You can give it a solid brief and it will perform full one shot coding outputs, complete
and whole that work brilliantly better than GPT-4.
So it's definitely I feel it's a step on from that.
And I've seen other people in the community that pushing these models saying the same
thing as well.
But then it still does make some mistakes.
And I've had it spit out a few errors in various instances.
So I think we're safe from that for a while yet.
It's funny you mentioned about having it as an assistant.
Sam Altman did an interview on I can't remember which podcast it was now, but straight after
the announcement, this podcast was published on this other feed.
And Sam Altman was asked how he's been using this new model.
He said he's only had access to it for a week.
Whether that's true or not.
But he he described his interactions with it.
And he said what he does is he has it the conversation.
It just has the chat mode open on his desk while he's doing some work.
And it's just there sitting there, always listening.
And rather than flicking between tabs to find out information or to go and do things that
he would normally kind of second screen.
What he's doing is he's just asking this.
He's just speaking to it as he's going and he's finding information as he goes and it's
pulling back responses to him.
And it's helping him not have to second screen.
It's just like a like an assistant, right?
That's what it's like.
That's how it's been positioned.
Yeah, and he I think there was another podcast and I'm going to paraphrase here.
So hopefully I don't get I don't drift too far away from what he originally said.
But he was he was being asked like what does he think these systems like what does he want
these systems to be able to do?
I think it was on the All In podcast actually on Saturday of Friday it was released.
And in essence what he wants is in a business context is a highly capable executive assistant
that can do things on his behalf but that can really act independently because it has
an ability to understand the context of the problems that he's dealing with and the tasks
he's trying to execute and can support them thoughtfully and wherever possible autonomously.
So it's clear that that's the vision of where they're trying to head.
They keep telling us that there's been a couple of podcasts recently that GPT-4 kind of sucks
and yeah GPT-4 is an improvement and it has some really cool stuff but it suggests that
some of the other things they're working on might imply that even some of the aspects
of these models kind of suck as well.
So I think you're right.
I do think the capacity for mistakes is still fairly large and a human in the loop is absolutely
critical.
I would love to see us discussing GPT-5 which is rumored before the end of the summer but
we shall see how much of an improvement it brings how much improvement it brings in terms
of its agenticity.
A little riff on your agentic there mate.
Because of course if we can reliably perform multi-step tasks, reason within those tasks
and now we have this ability to show it what we're doing, speak to it in real time, that's
going to be really really interesting and to finish the thought on the coaches versus
the AI does it for us, it'll be really interesting to see how it plays out because one of the
things you and I have discussed is will there be policies that are put in place that says
AI can be a coach for certain roles and it can coach a human to do them but it can't
do the work itself.
To maintain, A, because that might be safer in a lot of roles where we just can't afford
for the AI to make a mistake but also to ensure that some level of human first AI is maintained
because that might be needed as it gets better and better and better.
So it's super fascinating, quite impressive and I'm personally looking forward to it
being released because if you go into Chatchipity now and you've got a paid account you'll
see you can access 4.0 already so you can take advantage of a number of the multimodal
things that Martin described but what you won't be able to do yet is speak with it because
that hasn't been released yet.
You've just got the demo videos for now.
And there is some capabilities that they didn't feature in the live stream when they announced
it.
But when you go into the article where they talk about the capabilities of this model,
they shared some of the image output.
So at the moment if you ask for an image in Chatchipity it uses the Dali 3 model.
But this model has baked into it image capabilities that it can output and there's some really
cool examples.
There's an example where there's a coaster and it's a coaster with like a marble top
half and a wooden bottom half.
And then they upload a photo of this coaster and they upload a separate photo of the OpenAI
logo.
And they say we want to mock up what the OpenAI logo would look like if we got it manufactured
and printed or kind of engraved into the coaster.
And the model does it.
But it creates this image using, well it kind of merges them both together and it looks
legit.
It doesn't look like a diffusion model where you get something like if you've done with
Dali, you might describe that scene to it and then it gives you an output where it's
like oh yeah that's kind of what I was after but if you asked it to do it again it would
be a slightly different version, it would be slightly tweaked.
No this does look like the original image with the logo attached to it.
Writing on images, so text on images, wildly improved.
There was an image shared by Greg Brockman on Twitter or on X where it showed an image
that it created where it was a photo of somebody writing on a blackboard and it was a full
passage of text and it was the full text, legible, not with that weird almost hieroglyphics
kind of text that you often get with the diffusion models.
And all of that's because it's a full, multimodal text image, everything's in the same neural
network and it can do all of these things just better.
I need to get in and play with some of those image capabilities because I haven't had much
of a go yet with that part of it if I'm completely honest.
It's not launched.
Oh we can't access it yet.
No much like the voice, yeah not there yet.
This is all just in the articles and on the previews.
There's been some complaints as well that people who've got GPT set up, their GPTs can
only run off of GPT-4 not 4.0 as it stands even though there's a lot of excitement obviously
about using 4.0 for this.
So yeah, I mean there's one more thing we'll talk about when it comes to chat GPT improvements
in a minute but it's part of this, there's such a desperation I think with these tech
companies now to be seen to be ahead that they'll talk to you about cool stuff that
they can do and then you might get it in two or four or eight or twelve weeks or maybe
never and that is a little bit frustrating for the user.
Now to give open AI the due, there's a bunch of stuff 4.0 related that was available.
Basically I had 4.0 on my phone about an hour after the live stream ended so props to them
for that but of course there's some cool stuff that we can't access and that's kind of frustrating
because we want to play with it and of course open AI organized their event for the Monday
before Google I.O. on the Tuesday and as we'll talk about, live streaming video and real
time responsive voice assistance was kind of part of what Google presented as well.
So there's definitely an arms race here and open AI doing their classic trolling of having
an event just before Google have an event to try and assert them in that by doing that.
Did you see the tweet from Sam Altman about Google?
Go on, tell the listeners.
That's where he said, I try not to think about competitors too much but I cannot stop thinking
about the aesthetic difference between open AI and Google and he's got two photos from
their live streams, their respective live streams and it's the kind of mid-century quiet
little open AI office stream on one and the big bold brash somewhat trippy Google live
stream stage setup and the comparisons between the two.
The thing that I thought was interesting in that was he's directly said, I try not to
think about competitors too much and he's putting them side by side as competition now
which I don't know that I've seen him do before.
There's been some twitchiness on Twitter, stroke X actually.
There was someone who used to be at open AI that's now at Google who shared a video of
showcasing similar abilities like pre-Google I.O. to be honest as open AI just launched
like an hour after the stream is like an attempt to sort of say, hey, we've got something similar
tomorrow so don't think you're too cool and of course all these things are getting retweeted
and there's loads of comments so it is really interesting to see how we've had social media
for a long time and I don't know if this is just because it's something I'm super interested
in.
The brand awareness and PR work that the likes of Sam Altman are doing primarily using cryptic
tweets as the main mechanism for driving ridiculous amounts of discussion on Twitter, on Reddit
as the main mechanism of disseminating information, building hype like it's proper super modern
PR 101 in terms of… to a certain extent they don't even really issue traditional
press releases.
They write blog posts, they write a tweet about it and then all the media picks it up
off a blog post from a sort of marketing and comm standpoint.
It's really quite interesting to watch and we had Sam Altman allude to a bunch of different
stuff, a super cryptic in the run up to the event so yeah, I guess that's interesting
but in the interest of time there's one more thing from OpenAI this week in that they've
just improved their data analysis tool.
So one of the key questions here is if I can have GPT 4.0 for free, why should I still
pay for Plus and Teams and Enterprise and all this stuff?
And to a certain extent that's still to be answered but one of the power features of
current paid parts of ChatGPT is its data analysis tool which is really, really cool
and I think it's today they have improved the tool.
So now you can upload files directly from Google Drive and Microsoft OneDrive which
we talked about earlier.
You can interact with tables and charts in this new expandable view and you can customize
and download charts for using your presentations and documents.
There are also sort of improvements in its ability to understand data sets and perform
analysis tasks and this is going to be available for people who are basically paid users.
So it's very new news.
We haven't had a chance to too much to play with it.
I think it's been getting incrementally better over time and I haven't been talking about
it to be honest because some of the analyses that I tried to run six months ago with GPT
4.0 have got better with things like the release of GPT 4.0 Turbo where they haven't really
talked about it.
So I'm quite interested to get in and play with this because I do find it's quite useful
for guiding me through analysis of data, suggesting analyses I might do and helping me understand
some of the patterns in data a bit easier which is kind of interesting.
I don't know what you think about this, Mian.
I tried 4.0 to do some data analysis this week.
I actually just got a dummy data set just to see what it would look like and it was
like four different CSVs related to airline loyalty programs.
It's a publicly available data set and I just chucked it in and said analyze this, visualize
it and do a statistical analysis and it did a huge amount of output in a single shot.
It does multiple steps of the analysis.
It starts off telling you what data there is, just literally, okay, these are the files
you've got.
This is the kind of data I think we can get and it's a really, really long comprehensive
analysis which is, I think it was one, two, three, four.
There's multiple charts provided in this analysis.
In fact, I've just counted them up.
There's five charts that it provides in this single analysis.
It gives you insight into what they mean.
So it gives you seasonal trends, customer loyalty, high value segments and retention
strategies to deploy or from just a single prompt.
This is not a really detailed, highly configured prompt engineering piece.
This is just like, hey, here's some data, analyze it and visualize it for me.
Tell me what it means.
Yeah, I'm definitely going to play with it next week.
It's also, I don't think we've mentioned this yet, but it's also markedly faster.
One of the things about GPT-4 is I could read its outputs faster than it could produce them,
but now it just spills down the page much faster than I can read and I have to catch
it up, which I kind of like because it means I can skim read a bit more, but it's also
a slightly different experience if I'm honest because it's like, like if it's verbose,
then you're like, oh, crumbs, man.
I don't know if I could be bothered to read all of this, but when you're like word by
word then you would.
So I don't know if my sort of ability to pay attention to it is going to change somewhat.
So loads of great stuff going on over at OpenAI and I think if you've only been using their
free tool so far and you weren't very impressed with GPT 3.5, it's worth logging into your
free account one more time and giving GPT-4.0 a try because I think you'll find it's quite
a bit better than you remember.
The other thing we recommend is go and read the launch blog post about this new model
because there's lots of different nuances to sort of how it works and that we haven't
had a chance to cover today such as it can apparently detect emotion in your voice.
The tool can sing if you ask it to and there's a bunch of interesting videos where it's messing
stuff up, which just goes to show it's still prone to errors and hallucinations and all
the good stuff that we've had to come to expect with models.
But yes, well done OpenAI for an interesting release and now hot on the heels of that,
we've got Google I.O. Mime, what happened over at Google I.O.?
What didn't happen and I think we might need another hour long episode just to get through
it all.
In fact, if you really want to get through everything, they have put together a blog
with the 100 things announced at Google I.O. and I'm sure there was probably more than
100 but they rounded it down just to get in.
It really is a massive list and we could go down the rabbit hole of Android updates and
developer updates but I think what we'll try and do, you know, keep it business and marketing
focused otherwise, well, we're not going out here before Monday at this rate.
Yeah, I agree.
So the main things, we'll start with the model updates.
There were some updates to Gemini 1.5 Pro that we have seen.
This is now available to everybody and had been made available through Vertex and AI
Studio a few weeks ago.
But the main difference on 1.5 Pro is that it has now got another increase in its context
window.
It was already 1 million tokens in the context window and they've just doubled that.
It's now a 2 million context window large language model which is immediately just kind
of mind blowing.
It's getting very doctor evil now, Martin.
I think it's like 1 million tokens.
How can you even get enough information to ram into that?
I don't know but I'm sure we'll find use cases.
No, and every inference that you've run, I think at a million tokens, it comes out at
around $7 per input.
Wow.
So every time you input, $7 gone.
Well, there and thereabouts.
So yeah, that's pretty impressive.
Now we haven't compared 1.5 Pro with Advanced 1.0.
But that massive context window does give amazing capabilities in terms of recall and
just enhancing its overall knowledge.
They also announced a new Gemini 1.5 model which is 1.5 Flash which is a faster, efficient
model designed for large scale applications where you don't need that additional capability
and speed of inference is more important.
That's also 2 million token context window.
I've been playing with that one actually, Martin.
I've been very lucky.
Both OpenAI's new 4.0 model and Gemini 1.5 Pro 2 million context and Flash were available
in my favorite tool, Magi, as you know.
So I've gotten and played with that.
One of the cool things about Flash is it's cheaper but it's still pretty good at picking
out information from large bits of context like a cool transcript.
So giving the same sort of power but with lower cost.
I'm a bit reticent to push Magi too hard, like you said, because it costs a bajillion
dollars to run too many large prompts through it.
The way that Magi is structured is after a certain amount of context you start to pay
for that.
But early testing is, I definitely think it's got some interesting use cases as a faster,
cheaper model.
I think it's also interesting that it's just so hard to keep up with all these model names
and what they do.
It's like, this is not like product development, it's like GitHub forking because they're kind
of sort of pushed advanced into the background a bit now.
And I think if you are a paid workspace user, a Google workspace user, my impression, I'd
have to validate this, but my impression is we're on advance now but the 1.5 Pro's large
context window and some of the interesting things it can do is going to be the model
that gets baked into work place instead of Gemini Advanced.
Super confusing.
So, who knows what model we've got?
Well, Gemini Advanced now has a 1 million token context window.
Oh, okay.
So they are trying to, they're running them concordantly, like what's the, I don't know.
And if 1 million isn't enough for you Paul, then crikey.
Dude, I want to feed it every film I've ever seen that I love and tell it to create a new
movie for me on the fly.
We're not there yet.
We're not there yet people, but we could be soon.
The Gemini Advanced updates were quite interesting.
So they've expanded the context window.
So that means you can analyze 1500 pages of PDF document.
You can upload directly from Google Drive.
They also include a data analysis and chart building for updated data files.
And they've added this.
So this is more of a consumer facing functionality, but they've added custom itinerary creation
for travel planning.
And it looks at the keywords are used in a different way and is able to build an itinerary
for your trip.
Now that I've already tried this out with things like ChatGPT for my own little travels
and I've always found it to be pretty good at finding some places that I might not have
thought about before.
But yeah, this is this has got this as well now.
They've got Gemini Live with 7 ounce, which is a natural intuitive spoken conversation,
which apparently can be used for customer service and support similar to 4.0.
I think this will be important.
I think this would be important, Martin, because they're calling it like Project Astra and
you can you can basically share a real time feed of what's going on around you and have
a conversation with it very much like the sort of Omni channel GPT 4.0.
So the cynic in me is that OpenAI found out what Google were going to launch on the Tuesday
and they had something similar and they thought, well, we better get that out on the Monday
then, hadn't we?
Because they seem pretty comparable to me.
There's a slightly longer delay on Gemini's response time in terms of having a natural
conversation, but you can do the same things you can with GPT 4.0.
You can interrupt it mid flow.
It's got much more emotive capability in its voice.
How well it understands human emotions and tonality is not clear at the moment.
But but yeah, it's it feels a bit much for muchness, which just goes to show within like
a few days we're already like, OK, that's the state of AI now, like showing the next
thing.
Absolutely.
It becomes stable stakes.
Everybody's now looking at AnthropiCurrent.
Come on, where's your voice assist?
Right.
It's mad like that human's ability to like not be impressed by this stuff anymore is
kind of astounding.
And it fits very much with what, you know, OpenAI's goal was, as you said at the beginning
of the podcast, to release things incrementally so that we didn't have a big shock.
And I think one of the byproducts of that is we actually adapt quite quickly and we're
already saying what's next rather than being like, oh my gosh, the world is being completely
turned upside down, which, you know, if you'd been living in a bunker for 18 months is exactly
how you'd feel.
You'd come out and you'd go, sorry, when did Star Trek get here?
Like how is or how have we gone from one paragraph out from GPT three to saw a video generation
and basically a computer I can speak to that laughs and jokes back with me like it's mind
blowing really.
But yeah, that's happened.
If you think about Jack GPT was November 2022.
I think people that that was no time ago at all before that most people, I mean today,
most people haven't really dug into the last language models.
But before then, it was a tiny proportion of people that had ever used large language
models.
Yeah, it's amazing.
So what else have we got coming out of the IO event?
Image generation.
They have updated their image generation diffusion model, Imagine, which is now Imagine 3, which
is available to trusted testers on the Google platform.
And that's in image effects.
And it's coming to the vertex AI platform later in the summer.
They also announced Vio, which is a kind of Sora competitor.
So generating 1080p resolution videos in various styles suitable for marketing videos, stock
video creation, content creation, and that kind of thing.
Did you get a look at any of the clips of Vio?
Yeah, so I've been looking at what the Twittersphere's had to say about the image generation and
the video generation for those that have been able to play with it and also those that have
just watched the demo.
And it would appear that the image generation is much better, probably dually three level,
but not mid journey level.
So it's probably mid journey that's still just edging ahead in terms of the most powerful
image generator.
The video examples I've seen are impressive.
They're certainly better than what we used to have coming out of Runway, but they're
not as good as Sora at first viewing, I would suggest.
So, but I think what it tells you is the magic that created Sora was not unique because this
is pretty close, even if it's maybe slightly behind.
Yeah, the ones I've seen look great.
Again, with all of these tools, though, it's about getting into the hands of real users,
isn't it?
Because as we discussed with Balloonhead, it's okay showing the final output that's
been edited and manipulated, but until you get it in the hands of users and people start
prompting it and going, God, this is nearly impossible unless I use a thousand prompts
to get the video I want.
We won't actually know how good these tools are.
Now I just want to focus on one area for the digital marketing listeners in our audience,
and that is search.
Because there have been some massive announcements on the search front.
Google has been paying attention to the search generative experience.
SGE will know that Google has been testing for some time, inserting AI generated responses
at the top of search results, bumping down all of the organic search content.
And this is now being rolled out in what Google is calling Google AI previews.
This will be rolled out in America first and then across the wider world soon after.
And it's fair to say people that pay a lot of attention to this online and in the Twittersphere
are not impressed.
This is pulling out some very strange results.
There are examples where people are saying, look, this is virtually just pure plagiarism.
And there is a general consensus amongst SEO professionals that, hey, look, we are heading
towards Google zero click environment where Google passes through very, very little organic
traffic to informational searches.
Yeah, this is we've talked about this on the podcast multiple times.
I think even when I think about my own behavior, thanks to you, I probably turn to perplexity
as often as I do turn to Google, if not more often.
Perplexity is great.
It gives you a load of sources, it tells you where it got its insights.
I don't click through to visit them.
In fact, if I want more clarification, I ask a follow up question of perplexity.
I don't go clicking through and reading stuff if I'm completely honest.
The only time I'll ever click through is if my Spidey sense is like, no, I don't think
that's right.
And I'm basically validating hallucinations when I'm clicking through.
So I think there's a use of behavior change coming here that's also in tandem with technology
changes.
And as you say, as a content publisher, not just traditional publishers, but basically
companies leveraging content marketing to drive traffic through SEO and sell products
and services, to what extent is that going to work well in X timeframe?
And I think one of the hard things with this is to predict exactly how SEO shifts and that
timeframe.
Because it could take 12 months for SGE to just get really good and be rolled out widely.
And then the amount of clicks that people are clicking through to informational content
just drops off a cliff.
Or the whole shift in behavior could be five years.
If we're speaking with computers, certainly maybe ChatGBT or Gemini will pull up a source
while we're having a conversation with it and say, hey, look, this is the article where
I got some of these insights from.
But if I'm not even looking at my screen, because I'm just getting the information from
a direct conversation, this is going to cause fundamental shifts in terms of how people
go to market, especially if they rely a lot on SEO.
And we've talked a lot about how more than ever brand becomes extremely important, especially
if we've already got an established brand, because I think establishing a new brand through
content marketing is going to get harder and harder.
And leveraging the expertise of your, if you're in a B2B environment, leveraging the expertise
of your SMEs whose knowledge maybe doesn't exist on the web and therefore cannot be surfaced
by an AI tool.
And therefore your voice is still a trusted voice because you can share things that AI
can't.
So it's going to be really interesting to see this play out, isn't it, Mian?
It is.
So I think it's a chicken and egg in terms of how, maybe that's not the right phrase,
chicken and egg, but it's a conundrum for publishers to think about how they want to
treat the AIs.
The AIs need the latest information.
So if you're a publisher, you've got the researchers, you've got the expertise, the authority, all
of the stuff that Google says you currently need, the EAT framework, you know, experience,
expertise, authority, trustworthiness.
You've got all of that within your industry and you can be writing about it.
And it's the same with the press, right?
If you've got, if you're the Washington Post or Financial Times, you've got journalists
that are subject matter experts that go out and gather the information.
And the AI then needs to troll that information, otherwise it won't know it.
Now if Google is always serving, if people's behavior changes, that they just expect the
AI to provide the answer, you as a publisher need to determine whether you want to feed
that in.
Now Google has made it available to, or have made the functionality available to basically
de-index from search.
So you can say, index me for search, but don't index me for the AI search specifically.
So remove me from your previews tool.
And we've seen a similar thing with OpenAI.
They've made the same thing available as well.
But then you're potentially, your business is not getting mentioned in all of these things
where people are going to increasingly be turning to for their answers.
So what do publishers do?
Do you have to strike a deal with these companies like OpenAI has done recently, signing lots
of deals with the likes of Reddit and large publishing companies are signing deals so
that OpenAI can use their data?
Is that how they start revenue generating?
What about if you're a small B2B?
You know, if you're a manufacturer who's done really well by positioning yourself as an
expert in the field, but all of a sudden your blogs are being scraped by the AI and the
AI is just going, yes, this is the answer about that really niche special thing that
normally would have sent a load of traffic to your website for, but now we're just giving
them the summary straight away on the search page.
It's a tricky one.
Yeah.
And I think the publishers are probably doing the right thing.
And I think honestly, we'll win if we have good licensing deals between the publishers
and the AI models, because we need high quality journalism for a number of different reasons.
And as you said, if the information is not there for AI's to scrape, then the AI's won't
know the things that we need them to know.
I think the challenge when you're a small or a mid-sized B2B or even a massive B2B company,
to be honest, is your business model is not the information you produce.
This has been like, content marketing has basically been an element of we give some
of our expertise away as a freemium type model in the hope that you'll come buy some products
and services from us because you'll trust us and think we're awesome.
And does the commercial imperative hold up if you're producing content that's consumed
by AI's that drives the advice and information they give but without citing you as a source?
And ultimately, I think the answer to that probably is no.
So either B2B has to move away from that type of model or OpenAI, Google find ways to either
through paid means or organic means, better cite the sources that they're using.
And I can see that paid means is the most likely.
One of the key questions for large language models is, for OpenAI and Google, if Google
disrupts its ad revenue, its pay-per-click Google ad revenue through this model, that's
where it gets most of its cash.
So it's not going to let that happen.
So at some point, we have to expect to see some sort of advertising elements baked into
this.
The other thing is, are consumers going to consistently spend $20, $30, $40, $50 a month
on a chat GPT or is it going to be mostly used by businesses?
And this is again, a question we don't know.
So if people are not willing to pay a monthly subscription for it, it will need to be an
advertising driven model, which again, will completely influence the answers that are
given, how you trust them, how companies, products and services are weaved into those.
So I still think there's a bunch of unanswered questions here, but what advice would you
give to a B2B company, Martin, that maybe produces lots of written content relying on
search?
Like, you know, what advice would we give them at this point in time, given potential
avenues that this could go down?
New formats, new channels, video, audio podcasts.
I would make sure that you are turning that content into different channels.
They still have legs, you know, they still has reach and it can all be turned into written
content and you can actually use the AI to your advantage by taking a transcript from
a podcast and turning into a series of blogs.
But yeah, I would be looking at that, you know, social and influence, influencer type
content, even in B2B works very well.
You know, it might not be that you're going to be out there making loads of TikToks, might
be, but find your channel and stick to producing content regularly for that channel in multimodal.
I don't think that blogs are going to be here forever.
They might supplement.
But yeah, I would be looking to diversify the range of media formats that you produce
for.
Yeah, I'd agree with that.
And I also think the, it's almost old school now, but a lot of the original content marketing
business models were about generating subscribers.
And I think subscribers becomes critical, right?
Because you can no longer rely potentially on search for your content to be found.
You need to become a trusted voice.
That's always been true.
That's always underpinned a lot of content marketing, but you need people to subscribe
to your YouTube channel, to your podcast, to your newsletter so that you have a means
of getting in front of them consistently and being the trusted voice that they listen to.
So I think you combine all of those things together and you can ride out the diminishing
search traffic.
But I think if you're relying on keyword optimizing blog posts as your only strategy, I think
that probably doesn't end well over the next two to three years.
And you know, best time to plant a tree is 10 years ago.
Second best time to plant a tree is today.
So this is, if you're not thinking about this, I think today is the time to start thinking
about that.
And of course you can always contact us because we think about this a lot and we may be able
to help you.
There were some other things that I really thought were interesting at the event, Martin,
and it's kind of, I'm surprised it's flown a little bit under the radar, but they reference
something called AI teammate that they've been playing with internally.
And they kind of inferred that this is what we can expect to start seeing in 2025.
And in essence, it's like someone in your chat, like where the offices is Google, so
it was in Google chat that is part of the conversation.
I thought, I think it was called chip or clip or something like that.
And it was a member of the chat.
So you had the project team members there, you had chip, if indeed that's what it was
even called, conversing back and forth.
And the human would say, where are we on project X and what are the bottlenecks that's holding
us back?
And then the AI teammate would go check all the chat messages, all the relevant emails,
all the relevant documents saved on the Google Drive system, and then come back with an update
on where the project's at and what the bottlenecks are and what decisions still need to be made
and by who.
And then multiple people start having this conversation where the AI teammate is very
much part of that conversation.
And it was just a really interesting demonstration of this agent type approach, but in an extremely
accessible business context, right?
Like just someone in your chat that could well be a human really.
And that's kind of how the interface worked.
I thought it was interesting.
Did you see this, Martin?
What did you think?
Yeah, so it was the teammate chip and you have to basically tag it into information
so you can copy it into email threads.
And as long as it's given access to these files, if you're sharing files and project
or like I say, copying it into email chains, it will have access to that information.
So you do have to think of it as this extra teammate and then it will respond in the chat.
I think the example that they gave with the image was on the video was Project Sapphire
and somebody puts in the chat, are we on track for the launch?
And then Chip jumps in and says, there are conflicting decisions on the target audience
for launch.
And then it's got references to documents where it talks about this conflict.
It says, getting aligned on this is important for our marketing timelines.
Here are the latest timeline for Project Sapphire.
And then it lays out development timeline, design and prototyping, testing and marketing.
It's all there right in the Google Chat interface, which I think that's super cool.
And I think we can expect to see this kind of thing rolled out in the future with Teams
and keep an eye on this because the Microsoft Developer Conference is coming up next week
and Slack announced a new AI assistant.
And if you're a Slack user, you might want to check the terms and conditions of that
because all of your data is going into the training for that model.
That's a conversation for another day.
But yes, I think we can expect that these places where we're all working, chatting and
collaborating are going to have these new AI assistants where we can tag them into email
threads into documents.
We'll be able to probably tag them on Word docs and into Excel sheets.
And they'll just be part of the collaborative experience.
Yeah, do you know, it's fascinating.
We've talked before on the podcast about how we're on exponential curves in different areas
and different technologies and different past discoveries, if you like, have enabled where
we are today in strange ways.
We've talked about how the advent of the internet and to a certain extent, even publishing and
content marketing itself have been critical for creating the volume of content needed
to train these models.
Without the internet, you don't get this and without a bunch of content on pretty much
every topic you can think of, these AI models have very limited knowledge.
But when I reflect upon this type of tool, it at the moment somewhat relies on everything
being digital, right?
By definition, it can only update you on your query if there is an email or a document somewhere
that has that information in.
So in-person meetings that are not recorded or the audio is not captured in some form,
it's going to be important information it doesn't have.
But of course, post pandemic, most of us are doing a huge amount of what we do on Teams
and other, you know, Google me and other platforms, Zoom and the use of Slack and Gmail and other
tools maybe hasn't increased so much.
I mean, I can imagine the use of tools like Slack and messaging probably has, but without
the pandemic, I don't think you get this shift in user behavior to everything being online
that even gives these tools the ability to, you know, to be a meaningful part of those
conversations.
And for a lot of businesses that have encouraged fully back to the office working conditions,
maybe we're all going to have to wear pendants around our neck like the one that you've bought
to be able to capture the data to enable our tools to be informed.
Because if your chip assistant only has half the information, then to be honest, it becomes
fairly useless because it might just there might be something really important.
It doesn't know.
In-person meetings are the key here, aren't they?
Because I've started if I have an in-person meeting with a client, I've gone to their
office, I will say, can I record this?
I'll stick my phone on the table.
And, you know, I've never had anybody say no.
And I'll record the session, just capture the audience, capture everything that is said
in that room.
And then I just upload that to a Google Drive and I've already got that set up with a Zap
on Zapier, which does the transcription, turns in all of the action points and creates the
to do list.
And nine times out of ten, these are taking place at a client's office.
So by the time I drive back to the office, everything's there, everything's captured
and it's shared in a Google Doc.
And I've got my follow up email drafted for me ready to just tweak and make sure I've
got all the details done.
But that's going to become more commonplace.
And I think things like, you'll probably see specific hardware for it, right?
So the intercom or the meeting room technology that exists at the moment with all of the
cameras set up and all of that kind of stuff, that's going to have it baked in, isn't it?
Yeah, I think you're right.
Because the value of the data to enable these tools will be too important to not do it.
It will open up the usual privacy, confidentiality, data security issues that we're used to dealing
with.
But the productivity gains are likely to drive the behavior changes anyway, I would have
thought.
But we'll have to see how that plays out.
I think that's pretty much it from Google I.O. that we would talk about from a business
perspective.
As Martin said, there are over a hundred different announcements, especially like consumer app
driven things like Google Photos is getting a bunch of upgrades and things that you can
do with it.
So we're interested in that.
We do suggest going and reading the full blog post.
There was one thing that I saw someone post on LinkedIn that I think is valuable for marketers.
Chris Penn, who many listeners may know from the digital marketing world, he posted something
on LinkedIn observing that Google Chrome in the next update is going to have the smallest
Google Gemini model, which is Nano, baked into the browser.
So it's going to run locally on device in the browser.
And he speculated that you will be able to use Nano in any window that has a text drafting
element.
So whether you're doing an email in Gmail or writing a comment on Facebook, anywhere
that you can input text, he estimates that you will likely have access to Nano.
And if this is the case, you can expect a significant uplift in the amount of spam comments
if you run a Facebook page and LinkedIn page or any other community platform for your brand.
Yeah, I'm so glad you mentioned that because it is interesting it runs in browser.
People are sensitive about sending data off to these companies and if it runs in browser,
in theory, your data is more controllable, although I'd put an asterisk and a massive
question mark that was like 50 times the font size of the original text because I'm really
not sure that you can truly trust that.
But how long before those tools can start taking actions in the browser as well?
Being to a certain extent already does a little bit of what you just described in terms of
you can select text in like a Google Doc and then being open in the sidebar can help you
rewrite and things like that, which is interesting.
The other thing that we didn't mention was that Gemini is really starting to get much
more power in Gmail.
And I think the examples from Google I.O. were consumer focused, things like summarizing
emails around trying to figure out what roof to hire, I think, for a domestic requirement.
But of course, you could see how easily that could be applied to business.
So ultimately, there's going to be improvements in the ability of Gmail for you to search
for information, for you to summarize information, for you to automatically draft emails and
have Gemini basically take action on certain emails for more complex tasks so that you
can do a little bit less of the manual work.
So rather than having to read through an email thread or emails from lots of different suppliers,
for example, being able to pull that information out automatically.
And I think one of the other examples they showed was pulling out like 50 receipts from
emails.
And like, for example, if you're a sole practitioner running your own business and then basically
having it pull them out and add all of those receipts to a spreadsheet with a link to the
original PDF of the receipt, that was pretty cool.
Yeah, you're nodding, Martin.
Did you see that as well?
Yeah, yeah, absolutely.
And that as somebody who is constantly getting emails, it's like, have you got this receipt?
Have you got that receipt, that absolutely game changer for me.
I saw that and thought I need that in my life immediately.
Right.
But it's the gateway, right, to pulling contextually relevant information into a format.
And I think there's so many different avenues of where AI will impact on the workplace and
how we work.
Starting from annoying, time consuming administrative tasks like this one through to potentially
quite creative brainstorming strategic tasks where the AI is acting as a brainstorm partner
and a coach.
And it's, I think, I don't see any single one of those being like, yes, that's like
10x the effectiveness of me or my business or whatever.
But I think when you start to add them all up, that's where you'll start to see where
the big impact is.
So there's pros and cons to that.
The pro is you can take advantage of the things you need.
You don't have to dabble in the things you don't need.
The con is I think maybe some businesses will feel a bit let down when they see that they
only get a slight incremental gain here and a nice incremental gain there.
They'd like to be able to switch AI on and double productivity.
But I just don't think it's going to work out like that.
I think it's going to be use cases, applications, opportunities and problems and then applying
AI in specific ways across those.
And so mid to large companies are probably going to have some sort of chief AI officer
or someone who's in charge of understanding what technology is available, what they can
do and how to apply them to different use cases and applications in a business to start
to realize some of those efficiency and creativity gains.
Because that's going to probably need to be someone or a team's job in order to deploy
across those different functions, but also to be in charge of the change management because
we're going to have to coach and train and bring humans through on the journey to help
them actually adopt the tools.
What are your thoughts?
Absolutely agree.
And if you think about any piece of software, so Microsoft Word, Microsoft Word has so many
functionalities.
In fact, actually PowerPoint is probably a better example.
Most people can use PowerPoint and throw together a slide deck, but scratch the surface and
lots of people say it's one of the best graphic design tools out there on the market.
The functionality that is kind of hidden away and what you can do with it when you scratch
the surface is remarkable.
And most people use about 10% of it.
Most Excel you considered to be an intermediate borderline advanced user.
If you can use pivot tables and V lookups.
These are fairly basic functionalities.
But if you're a real power user, there's a huge amount that you can do with it.
But most people don't use it.
And with AI features and functionalities being rolled out, like the AI extraction of attachments
and automatic organization of those for users, unless people know that they're there and
how to navigate them, they'll just sit there untapped.
Because as identified with the examples I just gave, most features and functionality
does sit there untapped by most ordinary users.
Yeah, I think it's going to be super interesting to see how AI enables that.
Because you also don't know what you don't know.
So there's probably cool stuff that I could do in Excel to ask interesting questions of
data and draw interesting insights.
But if I don't know what questions to ask, then I'm not even going to start to think
about how I might be able to actually achieve that in terms of analysis.
So again, AI as a coach going, you know, cool, what is it that you're actually looking to
find out here?
And maybe even having enough context about me, my business, the data I'm looking at
to go, do you know what you might find interesting is this?
And I'll go, yeah, that does sound interesting.
How could we go about analyzing that?
And then as we see with the ongoing improvements with the data analysis tool in chat GPT, the
actual ability to write and run Python code to undertake a series of analysis steps at
this point, let's be honest, to actually dive into that data and provide those insights,
I think that's going to be quite fun.
And I think overall, I think as I said earlier in the podcast, having that AI assistant is
going to drag up our skill levels in all the areas where we're a bit weaker and there's
lots of stuff that we don't know, because you're just going to have that AI on your
shoulder going, hey, can I help you with this?
Have you thought about this?
And I think that's going to be quite fun and pretty valuable as long as we deploy it in
a human first way.
Because I think until we get into a mechanism where every bit of information is digital,
I think there'll be things that humans know about their work and their clients and their
colleagues and that the AIs won't know and you will need the humans piloting and driving
a lot of this and it's just about augmenting them the best that we can.
Well there you have it folks.
We whistle-stopped through a bunch of stuff that we missed.
Sorry for being out and about.
We've talked a bit about GPT 4.0.
We've talked about Google I.O. and loads of cool stuff.
We're back in the mix now so you're going to expect to see us dropping into your favourite
podcasting programme on a frequent basis, probably every week or two, a little bit like
what we used to back in the day.
And if you have enjoyed this podcast, please interact with one of our posts on LinkedIn.
We'd love to know what you thought of different things in the podcast.
You can leave us a review.
We'd love that.
You can tell your friends, hey, the guys are back and they are, didn't even mention Derby
County yet, who got promoted which we really should.
Yeah, the next five minutes, we're in now.
What a day.
What a day for all that was fantastic.
Promoted back in the championship where we belong.
See we don't, we only talk about Derby County when they're losing because that entertains
me.
But when they're winning and they're doing well, that might entertain you, Ryan.
And we can't have that.
That's outside of time.
Yeah, well now we have a long rebuilding job ahead of us.
But maybe to pull it back to the world of AI, Derby can tap into the AI tactics tool
that was developed by Google DeepMind and launched alongside Liverpool, your team.
That's right for a better corner taking.
But at least we've done the listeners the good grace of putting all of this in aim football
stuff at the end of the podcast.
Okay, right, we will let you go.
It's been a super long episode.
If you've made it this far, we appreciate you sticking with us and we look forward to
keeping you up to date on all the things you need to know about AI to help you be more
effective in your role, run your business better, be a better marketer, et cetera, et
cetera, in our next episode.
If just one more thing, if there's anything you'd like us to cover in a podcast in the
future, email us at hello at artificiallyintelligentmarketing.com.
I think that sounds like a blooming good idea.
We'd love to hear from you.
Right, we'll sign out there, Martin.
Thanks very much for your time.
Bye.
Thank you for listening to Artificially Intelligent Marketing.
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