A regular podcast covering design and AI from the founders of Near Future, a boutique AI consultancy focused on teams that care about craft. We cover both what we're seeing on the ground and industry trends, ways of working and occasional guests from the design world.
Tom: hello, welcome back
to the Near Future Podcast.
we're Tom and Jonny, and, we're
here bringing you on the journey
of our explorations, learnings,
what we're building with AI, and
sharing where we've got to so far.
today is extremely hot and
sunny in London and Manchester,
where we both join you from.
you can see, if you're
watching this on YouTube, Jonny
sunglasses for the occasion.
I'm not wearing sunglasses, but, but Iâ¦
Maybe I have better shade in,
the space I'm working from today.
so thank you so much for coming back,
especially to all the listeners who've
been, tuning in since the first episode.
There must be at least two
of you or three of you.
enough, in fact, to demand that we
create a, dedicated email address,
which is now podcast@nearfuture.works
Jonny: Yes.
Email us your content
ideas, your complaints.
there is an ombudsman.
and, any feedback.
Honestly, we're just getting started.
We're trying to work out what this
format is and what's most interesting.
We do have some guests coming up.
So, far Tom and I have been doing this
on our own, and love you man, but,
let's get some fresh faces on here
and bring some tension, onto the pod.
Tom: Absolutely.
Yeah.
slash just, fresh perspectives,
exciting new things.
excited for that.
E-emailed, messaged, messaging a few
people, a few special guests to come and,
join us for the conversation, and we have,
I think, three or four on the horizon.
Jonny: Yeah
Tom: to introduce, our huge,
massive global audience
to, these fantastic people.
Jonny: But there'll be
plenty with just us as well.
We're not--
Tom: yes.
Jonny: have guests every week.
that's too much admin
for any of us, I think.
Tom: I, will segue us into
this next section, which is
gonna be about, your, trip.
You went on a trip late last week, Jonny.
You just got back, and, were
telling me about something cool
that happened with a Vibe Coded app.
So
Jonny: Yes.
Yeah,
Tom: us
Jonny: yeah, I've, I have, been
out of the world of AI and design
effectively since our last recording.
I think we recorded last Wednesday, and
then I went on a golf trip on Thursday
morning and came back on Sunday.
We- it's now Tuesday, so I had one day o-
of desperately trying to recover yesterday
from three rounds of golf in 35-degree
heat in Mallorca and three big nights out.
so I go on this trip every year.
it's 16 of us, and we
play Ryder Cup rules.
That won't mean much to a, lot of people,
but, it's basically a team format where
we all, have t- two teams of eight, and
we play the same teams every year, and
we dress up in red, and blue, and, it's
a kind of classic boys need competition
in order to make a holiday work.
And, we're now into our 16th
year, so there's lots of lore and,
memories of big, wins and putts to
win it and all that kind of stuff.
but one of my friends, Chris, has been
keeping track of all of the stats across
all 16 tours in a spreadsheet, and he
started doing it in year one or very
s- close to the start of the tour.
And through, I think, 46 different
players, in our rotating, list of golfers
and across 16 years, so that's three
rounds of golf a year, a lot of rounds of
golf, he has, got this sort of wealth of
data And so every year we have a bit of
a data roundup and, how did people play
off their handicaps, and are the teams
balanced, and all of that kind of thing.
and we use on the course this
app called VPar, which has
been around since we started.
It's a little bit old and
rubbish, and very complex to use.
And this year, Chris, who is not a,
designer or an engineer or, anything
of the sort, thought, "I'm gonna use
AI to build my own one of these, and
it's gonna be simple, and it's gonna
be just for us," a personal one for
our, tour, which we call the Strider
Cup, named after Tinchy Strider.
dates the tour somewhat.
Yeah.
Tom: Great reference.
Jonny: so the, Strider Cup app,
came to life on Lovable, and Chris
hadn't heard of Lovable before.
He Googled it and found it
and started building, and it
was an unbelievable success.
this-- I think it was just the perfect
example of this sort of personal
software or small-scale software
that you could never have dreamed
of building, or you wouldn't have
paid a software developer to, to
build something for a 16-person tour.
for a long time, I actually
owned stridercup.com
but didn't do anything with it really.
so finally this app has appeared, and
it has, it allowed us to track each
other's score live on the, course.
It provided us with stats and, even
he built betting odds into the app, so
that we could live bet, on each other.
and, everyone was so excited about it
that then I took Chris to one side.
I couldn't help myself.
I took Chris to one side, and
I was like, "That could beâ¦
This could be a thing, If you wannaâ¦"
he works in golf at the moment.
he works for the DP World Tour.
and I was like, "I feel like if you built
this a little bit more, then there'd
be an opportunity for other groups like
us to use it and maybe pay you for it."
But it was-- I found it very, inspiring.
It was a genuinely good bit of software
that he built by asking natural language
questions, Rather than we need a
database, he would ask something like,
"We need it so that people can see
each other's scores live and, up-update
each other's scores or update their
own scores so other people can see it."
And then it-- Lovable would
know what he meant by that and
build something appropriate.
so I just, I loved seeing that because I
think it was about 18 months ago, a year,
18 months ago that we started playing
with Lovable, and it really was the first
tool of its kind, I think, that broke out.
Maybe that and Replit really broke
out as like now normal people can
actually build software that is
meaningful to themselves and to
others, and is the perfect use case.
I-- people have built big businesses
on Lovable, but I think the perfect use
case is this, small thing that, you can
have super high context over what you
need from it, and you just build it for
yourself, and then all your mates use
it, and you can put your in-jokes in it.
Like we-- the, app was sponsored by Bo
Deans for historical reasons, and, had
a Rolex clock in it and stuff like that.
So there's, you can put gags in your
software that only are meaningful to
16 people, and justify it entirely.
So yeah, it's, a, good reminder
because I haven't really opened
Lovable for a year probably, that
these, bits of software are really so
easy for people to just get started.
it's made me think I should dig back in.
I think I've got-- still got a
ton of credit to use, maybe I
should, dig back into Lovable.
But yeah, so it's-- that, that was
really my only, the only th-thing I
could think of to bring to the pod in
terms of experience with AI this week.
Tom: That sounds, that sounds good.
That sounds great.
Have you, you tempted to try and
use some, prompt injection, dark
magic to hack your score so you
were doing better in this app?
Or were you ch- keeping
Jonny: w- it, th- I think one, one of
the most interest-- Yeah, it, That's
a really good question because I
think s- trust was implicit in, this.
There's, no auth, anyone can go
on this, app, which is why I'm- I
won't link to it in the show notes.
and change each other's scores, but,
you don't because you're all friends.
So there were various technical
things that Chris didn't have
to worry about, tracking, events
and working out who did what.
who changed the score?
Was it actually the person that was
playing the match, or was it someone else
who was messing around with the format?
and, yeah, so to, to, productionize
it, you probably need to do a little
bit more, but just, beautiful.
And it, because you didn't have to log in,
everyone was like, "It's so much easier
than anything else we've ever used."
yeah.
W- we've known each other for long
enough that you, wouldn't last long
if you started trying to cheat.
Tom: Yeah, definitely.
I guess that's no different
from a spreadsheet if you're
giving everyone access
to a spreadsheet and they're
trusted to update it with,
Very cool.
big question though for you, Jonny.
Have, has it led you to thinking about
how AI can improve your golf game?
I've n- I know nothing about golf.
I've barely ever played it, so I don't
know how much, how, AI could, feed in,
but, has it left you with any ideas
of how to improve your score for next
time using AI to help in some way?
Jonny: one thing I think I probably
did tell you ahead of this is
I did not play well this year,
But I'm not sure AI can help me.
Unfortunately, I think it's just
completely reconstructing my swing
from the ground up, and spending
more time playing golf than I do.
that said, I did-- I was captain
this year, so I had to make
decisions about who goes out first
and how to structure the team.
And I did throw up a little,
mini website with some AI in it
to help me decide the pairings.
But,
but for me personally, no,
I'm, a lost cause, I'm afraid.
I won't be troubling the
PGA Tour anytime soon.
Tom: Okay.
Okay.
That's, it's good to know there
are, there's some limits to where
AI can help and where it can't.
so maybe when robots are part of
the picture, maybe it'll become
more complicated for the, golf
team of 2050 that's gonna happen.
okay.
Let's, let- let's move on.
Let's move on.
I think we were, going
to talk next aboutâ¦
there's a couple of topics
we were, thinking of sharing,
on the pod today.
how about I go next and talk
Jonny: Yeah, I think I, I'm intrigued.
you shared a link that I haven't
clicked on, and I think it's gonna
be pretty relevant to us and our
audience, especially given your
last role and, yeah, I'll hand
over to you, Tom, to introduce it.
But yeah, we're, going a little
bit more serious than golf now.
Tom: so the headline of this, article
was, Middle Managers in the Firing Line.
and so I'm just-- I have it up in front
of me here, and it says, "CEOs at some
of the world's biggest companies are
rethinking their org charts, pivoting
away from middle management toward
the idea of an intelligence layer."
And some other senior-sounding
person says middle managers
probably shouldn't exist anymore.
I, the reason I thought it would be
worth, sharing today is I think this
has been, a narrative that's been
around the last year, two years,
even before AI really took hold.
I think it was the sort of post-ZERP era
of, the macroeconomic climate where it
was harder to raise money and there was
more, talent around and, fewer headcounts
than previous or there were before.
and so I think it's-- I think starting
at that point, there was a conversation
around do we really need people managers
in the same way or middle managers as this
article talks about, and that seems
to be heating up, with this latest
piece that I saw recently on LinkedIn.
but I wanted to bring it up because
I think there's a few things
here that, I've been definitely
thinking about a lot, recently.
And you mentioned my last role, Jonny,
and for any, new listener who has zero
context of who I am, previous role,
full-time role before this was as
director of product design at Monzo.
I was there for five years, and a big
part of my role was, hiring product
designers, managing product designers and
managing managers of product designers.
so definitely got to see firsthand,
how this shift was at least starting
to take shape, And I think it's just
a-- it's definitely a moment toâ¦
there's a lot of thoughts that this
has led me to, and Jonny, feel free
to ask me follow-up questions in, this
area.
Jonny: Yeah, Oh, yeah, I have some.
Tom: th- But, but, a couple things
just to anchor the conversation
that I, I'm thinking about.
The first is, shift toward
the intelligence layer
and what that, that means.
Jack Dorsey and, his, Cash App and
various other companies he's connected
to, have made some quite radical changes
in their organizational structures and
moving much more toward player-coach
model managers who are mixing IC
work with management contributions.
that's one example of this.
there are various other flavors of
trying to the-- or automate some
of the information coordination
and gathering across teams
and, positioning, managers in the
traditional sense to focus more on sort
of strategic impact or getting closer to
individual contributor work itself.
I think, yeah, so Depending on who is
listening to this, I think there is
the sort of version of this that there
is the element of, truth to, you are
in a middle manager role right now, I
think that's a difficult place to be.
difficult in the sense that you
have pressure coming on you like
most roles that are somewhat
connected to AI right now.
This is true of
Jonny: Yeah
Tom: it's true of everyone in,
working in these companies.
But I think people managers are, in
my experience, absorb a lot of the
emotional labor of how, the anxiety
and fear that surrounds teams, and I
think a lot of that falls on, leaders
and managers to, set clarity and
direction in a time where it'sâ¦
there's a lot of uncertainty, and that's a
really difficult place to be.
I think combined with that, you're
going from managing six people to n-
now managing people or 18 people or
even more, which I think the traditional
systems and structures just aren't really
set up to scale very easily to that.
it
really requires re- redesigning
from the ground up, what does that
even look like in this new era,
be able to operate effectively.
But I think most fundamentally, it
is what is the, outcome, are the
outcomes that you're prioritizing
as a manager to, justify validate
the areas that you're focusing on.
And I think that is something
that a lot of companies are
still figuring out to an extent.
But the old rule book of primarily
being about hiring and growing teams,
developing, getting more from individuals
and teams and helping coordinate
them, I think is getting thinner
and thinner as the sole priority.
Jonny: Yeah
Tom: I think it's really about
how do you Scale your impact
and, drive that through others.
But the one tactical thing I wanna add
before jumping to any questions you
might have, Jonny, or thoughts youâ¦
i'm curious to hear your thoughts
too, is around, this, this tool that
I think I would find very useful
if I was, in this position right
now and I was a manager of people
anywhere, in any company at the moment.
it's something that I learnt about during
my time at Monzo, but I, don't know how
long it's been established beyond this.
the concept of servi-
manager service levels.
I forget the original engineering
leader who introduced this at Monzo,
but the basic concept is, you have this
sort of different degrees, of what you
can expect from your manager during
different times, at work, and there
is the, everything is good, everyâ¦
This, the manager has lots of
capacity and attention, and this is
what you can expect a direct report.
And then on the other end of the
spectrum, there is, is broken.
We're hiring a million people.
everyone's on and sabbatical and,
p- that's, that- that's what the
expectations look like when, that
is the sort of picture of, things.
Jonny: Yeah
Tom: and I really love the, not
necessarily those examples, but the idea
of having this spectrum of, like, where,
as a manager, where do you w- how do you
expectations for your team, on, in the
good times and in the difficult times?
I think it, it introduces this idea that
are all construct, constructs, artificial
constructs of how we allocate and set
expectations with the teams we, work with
and the people we're responsible for.
but I think giving managers, and teams
a level of control over defining what
that should look like and then helping
people understand, what that range can
feel like, I think that expectation
aspect of being a manager much more
of an exercise in enabling managers
to, to pick and choose what they
think is most impactful to the team.
hopefully that involves actually
speaking to the team too and really
Jonny: Yeah
Tom: needs are and how they can be helped.
but I just wanted to throw that out
there as anyone who is struggling
to navigate this transition as
a manager, I think you haveâ¦
You're in a lot moreâ¦
you have more, control over the managing
expectations with those you manage
and the rest of the leadership team
that you work with, to help reasonable
expectations that position you to
actually do a good job and lead to good
outcomes for your company, not just
feel like you have to do with more with
less, which is, focusing a bit too much on
the, what is being taken away rather than
what you're being given and how that can
actually, unlock these new possibilities.
Jonny: Yeah.
Tom: Jonny, I've talked a lot.
What, are your
Jonny: no.
I suppose I've got one question
for you first, and then I
have a couple of thoughts.
But given all of that, and given
the sort of just the headline of
we don't need managers anymore,
what's your take on that?
what's your gut on-- it's you have been
a manager, you have managed managers.
Do you think that is true?
Or is that like a sort of reactive,
like post-Zurp, falsehood that
we will stumble back out of and
everything will just be the struct-
the same structure will remain?
is Jack Dorsey correct, basically?
Tom: I don't think he's,
wildly off actually.
I, think of this less in titles and
more in what are the outcomes that are
necessary for a team of people in a
company, and I think teams need direction.
They need clarity.
They need psychological safety.
They need,
around what a company
is trying to achieve.
I think all these things traditionally
fell on a manager to help shape and guide.
I don't necessarily think as a standalone
role is the most thing to preserve
in the future we're moving toward.
but I think making sure that there
is-- there are those elements
in some kind of leadership
capacity in a team is important.
I suspect what we'll see happening is
teams will continue to have a head of
design or a sort of leadership function,
because I think that person is most or
best positioned to focus on the direction
and the way that design's impact can
ladder up to company-wide outcomes.
But beyond that individual person,
I think it might vary based on how a
company is uniquely operating itself
and how it coordinates across different
functions, and whether that takes a
slightly more design operations role or
people management roles or, even a more
sort of chief of staff-shaped support for
that head of function, I think varies.
I could definitely see a world
as well where there's moreâ¦
the player coach, concept, which on paper
sounds like, oh, you can be a manager
and an IC, get your cake and eat it.
Or I think
Jonny: Yeah.
Tom: that and think, I can just get,
person to do the job of two people.
Great."
I think in reality, from my experience
when I've seen that, that setup, I
think it feels like 80% of the work
is as an individual contributor with
ment- with mentorship and some light
accountability around maybe some sort of
light performance performance management
and light performance review stuff.
but which I think works potentially
quite well if the s- the team
skews very senior everyone is
high-functioning, highly capable, highly
aligned with what the company needs.
that is not true of every single company.
so I think there's a risk that
the player coach who stumbles
into a more challenging,
more challenging management challenges
might struggle in that kind of
setting, unless they have a background
and experience to, to dial up.
but yeah, an interesting quirk
of the sort of player coach era.
Jonny: I, suppose I justâ¦
I think I haven't read this, article,
but I read a month or two ago, yeah,
Jack Dorsey's, a bit of Jack Dorsey's
very long piece about management
generally, and I don't buy it.
First of all, I think that, the
market doesn't owe anyone anything.
So if anyone is a manager right now
and, really likes, aspects of it
that may become less important over
time, which will-- I think is true,
then that is, that's gonna be tough.
But I think I don't buyâ¦
I think, manager to report ratios
is a function of how many people
you have on, your team primarily.
if you think about the pastoral role of
a manager, and if you think about the,
taste bar setter role, and if you think
about managing up and across, all of
that kind of thing, actually a lot of
those ratios are set by the, world around
the person rather than anything else.
And I do think, like a tastemaker,
maybe a design team of 100 could just
have one tastemaker who sits in these
great big crits and, and actually,
having one person deciding what good
looks like is more efficient as long
as they can get round all the work.
So that separates off from-- That becomes
more like a super senior IC or something,
and then you have managers that are
communicating expectations up and
across and, some of that last part
feels like it might be less necessary.
But at the same time, everyone's
team is about to go through this mad
change where they do need, as you
say, more psychological safety and a
little bit more support possibly than
they did over the last few years, or
a different kind of support anyway.
So I think that it would take a particular
type of culture to make what he describes
work, and maybe, Block, which is Jack
Dorsey's company is, that culture.
But I'd be surprised if that's
really broadly applicable.
But, may- maybe I'm wrong, but from
my time as a manager, which admittedly
was-- or a design manager, which was
a while ago, but then a manager of a
whole small organization, admittedly.
I don't think we can just, automate
away how we communicate with each
other and how we transmit information.
I do think your whole job being
sitting in meetings all day has
always been ridiculous, and it's only
a function of the ZIRP era that it
was ever allowed in the first place.
but people removing management layers
because of AI, I think I don't buy.
And as you say, the post-ZIRP was
where the actual change happened,
where people went, "Yeah, you
can't just exist here, so everyone
feels a little bit more supported.
You need to show ROI."
and I think a lot of this change now
is look at how fast the ICs are moving.
Look how many lines of code and
how many PRs the engineers are,
merging, so therefore everyone else
should be as efficient as them.
But actually, other parts of the business
don't move as fast as that, and things
that involve humans who are messy and
communicating in rooms with people are,
like, not the same thing as writing code.
seems like a really obvious thing to say.
I think there might be a little
bit of a rejection of that concept
more broadly, and most companies
will keep more managers on.
Or at least if they're removing them now,
they might think, "Oh, it didn't work
very well," and bring, some of them back.
That said, I think every manager needs
to w- look at where they are adding value
today and work out if that's the places
they're really focused on are what their
organization needs in the future, and try
and predict the future a little bit here.
'cause you don't wanna be-- What might
happen is managers are split into
managers that drive real business value,
which might be, like, better products
and higher quality design or whatever
it is the department they're in, versus
those that swan around looking busy.
And, if that really is you, swanning
around looking busy and making sure
your team have, a really fun breakfast
every quarter, then that, that becomes
less, value, in this world compared
to your peers, and then you might
be in a little bit more trouble.
But I don't know for sure.
I don't know.
But,
it's an interesting time.
I think that there's, this,
narrative which is like all
managers need to start designing
again, and maybe some of them do.
But they're, the ones, ironically,
that are probably sitting most
comfortably in a management role
right now where they're not actually
involved in the work very much
Tom: Do you think they sh-
do you think they should?
Do you think anyone who is in a purely
manager role right now should get hands-on
and design things or build things?
Jonny: I think to me that's
where it goes back to the market
doesn't care what you enjoy.
The market cares about what, is valuable.
And you may be forced into being one
of the best managers or not being
a manager anymore by that fact.
And so if you're not a manager
anymore, you need to work out what
you are, and that might be an IC
or it might be something different,
like a potter or something.
But, but I think-- I th-
and, that's not about design.
That's just, that I think that
might be what th- this, technology
does to whole industries and
all knowledge work ultimately.
Tom: Yeah.
Jonny: Yeah.
Tom: yeah.
I, I, that makes sense.
And, I think to build on your point,
I think really understanding the
mechanics of how the business you're
in makes money and, how your function
ladders up into that, I think is to
have significant-- a significant bearing
on the role that you play in your
team add value toward that top line.
Jonny: Completely
Tom: I think that will probably look
quite different based on the organization.
I think-- So I think, yeah, given the
shape of your team and the role also
design plays for your business, or,
product plays for your business, I
think could have quite a big bearing on
the importance of or what, is uniquely
important about design leadership within
that organization and how much, how much
that is about taste versus vision versus
direction, which are all overlapping
areas, but I think they vary quite a bit
based on what a company needs right now.
thing to mention on this, I saw a post,
post by, Tom Mora, who's head of design
operations at Fin, from earlier this
week, which didn't directly talk about any
of this stuff that we're talking about.
but there were some themes in what
he mentioned, I think do overlap.
There was one that was around design
being uniquely positioned for the
first and last mile, so like setting
direction and deciding
what to work on and then,
being the guardian of overall
quality of what ships.
then another one that was around, into
AI and automation for communication
alignment and, the information
layer of, how a team operates.
I think those for me, definitely make
sense in a design operations capacity.
I think are also areas that historically
have been more in in the realm of the
people manager role within design.
Jonny: Yeah
Tom: think those roles have already always
had some overlap, but maybe that overlap
is, increasing and almost abstracting away
what the overall design function needs in
your company into, yeah, what are the sort
of operational aspects versus what are
the taste and direction setting aspects
versus what are the sort
of business impact aspects
Jonny: Yeah
Tom: fall out obviously as, oh, we
need five people managers, but we
need someone who's really good at
operations, someone who's really
good at taste, someone who's
really good at this thing.
I, think that's a bit
disconnected from what those
titles will be, but the functions
Jonny: yeah.
Tom: I think
Jonny: Maybe the thing that needs
to, maybe the thing that needs to
die or move on is actually just the
title and because it comes with all
this baggage of what is expected
Tom: Yeah,
Jonny: historically.
And in this new world, a lot of that
stuff may either be divided up across
different people or across different
functions, and some of it can be done
by ICs or be done by product managers.
and so therefore, what is a design
manager anymore is probably not, might
not be a thing, even though all of the
functions of a design manager exist.
And so therefore, yes, you might
need fewer design managers, but all
of the same capacity is required of
what the design managers used to do.
Which then sounds a little bit more
like player coaches and other stuff.
But, or you have these sort of guilds
of, I don't know, wizards and orcs,
and wizards are really good at taste,
and orcs are really good at, once ones.
I don't know.
Tom: being good at one, one-to-ones,
that's probably not the most
part of, this whole strategy.
but, yeah, I also think there's
probably a, really exciting world
of the AI-enabled manager who is,
really using AI to scale a
lot of what they're doing in
the space and actually has
Jonny: Yeah.
Tom: impact.
Jonny: Yeah
Tom: but the label for that is
perhaps a sec- secondary thing
to, to explore or consider.
won't even un- open the can of worms
around, cross-functional management
and if, a design-- if, is, may-
maybe a design manager doesn't
exist, but, a people manager or
people who ship things to customers
something that sort of spans disciplines.
Jonny: Yeah, interesting.
Yeah.
Tom: let's not go down that path.
It'll have a whole other podcast episode.
We're already a long way into this, but,
but really, yeah, fascinating, to think
about this and the sort of implications.
There was a whole other side of this
around like talent retention and how that
has shifted the dynamic right now as well.
But
again, I don't wanna go
down that path either.
Jonny: save it for next
week or another week
Tom: Yeah, so these are just
teasers of what, what's to come.
we did-- was another thing we
essentially wanted to talk about.
do you think we have time, Jonny?
Do you wanna talk about Ideogram?
Jonny: let's, let's do
it as part of quick fire.
So what--
Tom: Okay
Jonny: we have a new quick fire section.
I don't know if we're calling itâ¦
we now are calling it quick
fire section outwardly.
so welcome to the quick fire section, But
I can kick off with a cool tool that I
first heard about on a podcast and then
have played around with a bit this week.
It's called Ideogram, ideogram.ai.
it's-- I think, one thing that
these models, even the state-of-the-art,
frontier models really struggle
with is design and taste.
The models out of the box just don't
have-- or they have a taste, but because
they are trained in specific opinionated
ways, the taste is always the same.
So if you ask Anthropic or if you
a-ask Claude to design you a website
and 1,000 other people do, all of
those websites will look the same.
And we've seen that, first it was like
the blue-purple gradients, and then
it was the greige sort of milk soup,
milk, toast, with italic, serif fonts.
And, we see these like phases
where the new model is trained on
a new set of data, and so therefore
that's what all design looks like.
And I think a lot about this kind of
stuff and, how do you move away from that.
And the harness, which is basically
all of the prompts and everything
around the model can change that.
You can tell the model to come up
with five variants that all look
different, that kind of thing.
but ultimately, ideally, you would
have a model that s- looks for and
celebrates divergence over convergence.
So it is forcing itself to
come up with routes even if
some of the routes are wrong.
And, there's some bad ideas and some
good ideas, but at least you've got
some ideas, and you can make it look
different, with different prompts.
Anyway, thinking about it, and
then, I hadn't heard of Ideogram,
and last week I listened to,
their founder talk on a podcast.
It's basically a s- a, a whole new model,
that is quite small in terms of, size.
It's nine, nine billion, parameter
model, so way smaller than
the, big state-of-the-art ones.
but it's trained in a certain
way, that, effectively makes it
very good for, visual design.
And so it can do things like come
up with variants, and it can even do
things like add editable text to images,
and you can give it a layout and draw
boxes over how you want that layout to
look, and it will fill that layout s-
with a mixture of text and images and,
And it's not good at anything else.
It only takes JSON as a, an input.
it's very opinionated, but it does
this one thing well, and I th- and
it, m- just I've been playing around
with it, and it's pretty good.
I'm not e-excellent at it yet, so
I'm not producing incredible things.
But,
I think it points to a future where you
start to rather than have these great
big AGI-esque models that are meant to
be good at everything, you start to have
smaller models that are good at one thing.
The most exciting thing about this,
because image models is tricky,
there's a lot of training data in
there that is effectively stolen.
and one thing that he said on this
podcast is, you can take this model,
which is open weight, and you can
train it yourself with your own work,
and then it can become your own model.
and because it's only nine billion,
in size, it's-- you can run it on
small hardware and run it yourself.
And so you can start to have what
looks like a little bit more of, a
personal model as a tool, which I
think has been hard to imagine so far.
So it's an exciting direction.
I've only just started
playing around with it.
I think the pricing looks fair.
and we do actually have an opinionated,
art direction for our podcast artwork and
our artwork for our s- site generally.
So I'm thinking we could set up a
little workflow where we can generate
consistent artwork with, this tool.
I will-- I'll basically report back
when I've put something together
that I think might work and, we could
even host it ourselves somewhere
and then, it really is just ours.
Train it with our own, favorite
images or our own images.
so check out, ideogram.ai.
and, I haven't played around with
image models for ages, really.
Not in, in any sort of way
where I'm evaluating new ones.
I think we've played a little bit with,
Flora and some of these kind of more
visual tools, but it's exciting to see
innovation in the w- in image models.
And actually, this is, this is such
a good transition into, an image
model tool or company that has
built something completely mad or
unexpected, which is Midjourney.
So
I spotted that this week and
had to double check it wasn't a
prank or it wasn't April the 1st.
it's so unusual.
But Tom, you wrote it down,
so you, tell us about it
Tom: yeah, very interesting.
Thank you first of all for that.
That was a very long quick-fire round.
Jonny: know, sorry.
Tom: r- but it
Jonny: It's a
Tom: very
Jonny: mid-fire, mid,
Tom: Midfire.
Yeah.
Jonny: speed.
Yeah.
Tom: we can work on this.
we can work on this.
We can shrink our speed,
for these quick-fire things.
yeah, so the Midjourney pivot, Midjourney,
people might know it, know them from their
image generation, technology capability
that's been there for a long time.
I feel like they've been one of the,
the image
AI companies for the last few years now.
Jonny: Smith eating spaghetti.
I'm sure it wasn't that
then back in the day.
Tom: Oh,
Jonny: May-
Tom: Yeah.
Yeah.
Jonny: know.
Tom: that was the great
challenge of image generation,
Jonny: Yeah
Tom: managing to overcome that.
anyway, last week they pivoted
to, running a wellness, health
and wellness-focused spa company.
I don't know if that's a fair
description of what they do now, but
they have an exciting website which
has a very cinematic video of, a woman
lower- lowering herself into this
water-type container and scanning
lots of vital signs and giving a
health report on various things,
making health checkup more
like a spa experience.
So yeah, big change in
direction, but, interesting.
I've been to Nico Health in London,
I don't know if you're familiar
with that, Jonny, but they
Jonny: I've been to the one in Manchester.
Tom: Oh,
Jonny: Yeah
Tom: Yeah.
They've, I feel like it's in the kind of
space of imagining what is now possible
with the level of, health data that it's
easy to capture now and creating a whole,
an experience around making that
far easier to get that data and
level of insight and, commentary
from medical professionals in that
Jonny: Yeah.
Tom: So yeah, really interesting
Jonny: But
Tom: But yeah, a wild pivot
Jonny: The, stats around
this are mad though.
It's like way cheaper,
significantly cheaper than an MRI
to do-- to produce better data.
So like I think, Neko Health
is interesting and great.
I, come from a family with history of skin
cancers and things like that, and what
Neko Health does amazingly is it does like
a full body photo, and it tracks every
single mole and everything on your body.
and they do a blood test
and other stuff as well.
This I think from readingâ¦
I can't find the bit in the article
now, but describes, being able to take
internal body scans to war zones and
all of these things that you just can't
do easily, or cheaply anywhere else.
So it like dramatically reduces the
cost and the complexity of, finding out
what's going on in the inside of us.
so it could have really
profound impact on medicine.
and like I think if you h- to hear that
bit of news and it was from a medical
device company or some enormous I don't
know, postdoc at Cambridge or something
like that, you'd be like, "Yeah, cool.
Good.
Advances."
And just f-for it to come from a,
company that you'd associate with
like slightly edgy sort of sci-fi
image generation is a real curveball.
So it'll be interesting to see
how they balance Midjourney
Medical with Midjourney.
the only, the only-- the company
it reminds me of actually is,
Aerobie, which is like a Frisbee, an
AeroPress invented by the same guy.
Tom: Yeah.
Jonny: Just like he's a-- That
is a true inventor, and it feels
like Midjourney are inventors.
they're, like, "What else can we use
this bit of-- this algorithm for?
If we put it in a camera,
what could it do?"
And then they didn't really think of
anything as outside their purview,
Tom: Yeah.
Jonny: cool.
Tom: That is true.
That is true.
Yeah.
Jonny: It ma- makes you think about what
these companies are going to end up being.
This-- the, An- Anthropic setting
up wet labs to get into bio and,
Midjourney building medical devices
and, these companies that have this
IP around intelligence don't have to
stop at consumer hardware, which is
what the last generation of companies
did, and, actually can say, "What
problems should we solve in the world?"
This is an optimistic, alternative to
this like dystopian, world run by tech
bros who are entirely disinterested
in anyone other than themselves, which
I think you can see the sort of Thiel
and Musk e-end of things is that.
But then there are also people
saying, obviously they, wanna make
some money out of It, it will be a
valuable company, but it's also just
something that is great for the world.
yeah.
What-- It'd be interesting to
see where some of these companies
end up and what they, what other
lines of business they have, but
Tom: Yeah.
Yeah.
So true.
Jonny: It's a good spot
Tom: speakingâ¦
Yeah, so true.
And, speaking of lines of business, I
think there's one final thing that I
wanted to make sure we covered today,
in this podcast, which is a website
called In the Weights, which has been, I
think, doing the rounds on social media.
I'm gonna share, my screen actually
with, with In the Weights on it so
you can see what I'm referring to
if you're watching this on YouTube.
it is a website that helps people
understand if their name is
specifically used in the training
data for each of these AI models.
And I thought we could close today's
podcast by, typing our own names into
this website and seeing who comes back
as being more in the weights or less in
the weights or not in the weights at all.
I don't know.
Jonny: Yeah.
We can be mysterious.
Yeah
Tom: we have not done this before, so
I'm gonna, I'm gonna try this live.
I'm not gonna add my credit card
information, which just popped up there.
That be a terrible idea.
Don't do that, please.
Okay.
I'm gonna addâ¦
I'm gonna search for you.
Is Jonny Birch in the weights?
You have a 22â¦
228 strength, top 25% British
product designer and entrepreneur.
Oh,
Jonny: Oh, I'm in,
Tom: and
Jonny: OpenAI knows a lot about me, and
Anthropic know a little bit less about me.
And then who was the other one?
If you just scroll up again.
Yeah,
Tom: Kimmy
Jonny: a cyclist and a songwriter.
Tom: Oh, oh, so this is not you
Jonny: Ki- Kimi K too.
No, the top one is me.
Top one is me.
Tom: Also, you are
Jonny: And then there's two otherâ¦
I'm the top Jonny Birch of three
Jonny Birches, which is exciting.
Always wanted to be the
best Jonny Birch I can be
Tom: Oh, you do a great job.
Jonny: Yeah, Kimmy.
I don't know.
I th- yeah, d- don't know much about Kimmy
Tom: Okay, clearly
Jonny: you, Tom?
Tom: in the training data.
so you got 228.
Do you think I'm gonna
get higher or lower?
That's ⦠Or just n-
I'm ⦠Maybe I won't exist.
We'll see.
Oh, this is thinking harder.
probably a sign that
I'm, not in the weights.
I have not actually tried this before
doing this live, so we will see
Jonny: Oh, he's really thinking
I can cut out some of the silence
Tom: Yeah, or just so we can
Jonny: Exactly.
And
Tom: speed up this wait
Jonny: 21 seconds
Tom: clearly I'm the
first person to enter this
Jonny: Yeah
Still thinking
Tom: So I'm not-- this
Jonny: There we go.
California Republican poli- no.
Tom: Yeah.
Jonny: Australian politician.
Tom Harmon I feel is a bit
more of a common name, though
Tom: Yeah, maybe.
Maybe.
British
Jonny: he's very-- he's top 7%.
Tom: Which one?
Oh, yeah.
Yeah, this is, Actually, I
think he might own the original
domain name, tomharman.com.
so
Jonny: would make sense.
Tom: been my nemesis for many
years with that domain name.
Jonny: How do we topple him, Tom?
This podcast needs to go really well.
Tom: but yeah, not Australian
politician, not a British former
pr- football defender, not a British
social work professor, not an
Australian rules football player,
not a 16th century, English writer.
So I'm, I'm basically not in there,
I think is the answer to this.
Showing four possible hallucinations.
Nope, definitely not a conservative MEP.
think I'm that either.
A British journalist, Australian rugby
league player, an English cricketer.
So no, I am not in the weights
is the answer to this, question.
Jonny: Wow.
I'm so sorry, Tom
Tom: I think in the weights is a
proxy for being, and, by that measure,
Jonny, are more famous than I am.
I think we've also learned that there
are a lot of people with my name who
Jonny: Yeah.
Tom: fam- more
Jonny: you've got tough,
you got a tough competition
Tom: So maybe my name is more famous than
Jonny: Maybe we can make you infamous.
Tom: we, shall see about that.
Um, anyway, that was fun.
In the Weights, try it out, see if your
name is in the dataset, or probably
just don't give them that information.
Maybe we don't need to put our
names into the internet anymore.
before we wrap up though, one last
thing I want to mention, and maybe
this is a teaser for a future is that
we have been cooking up an exciting
design workshop, which is open to--
will be open to independent people
who want to sign up and join us for a
live online half-day workshop focused
on building your own design tools.
so we'll share more about
that in the next few weeks.
But now, know that is coming soon.
It will be ticketed,
late July, early August.
So if you are working at a company that
you're interested in, spending more time
building with AI and you, would really l-
like an excuse or you would like structure
or you would like support and expertise
around you to help do that, we will be
launching that in the next few weeks.
So keep your eyes peeled and, be a
great use of that personal learning
budget if you have one as well.
So
Jonny: yeah.
Tom: keep that in mind.
Jonny: We did some of these this time
last year, and we made them four days
long, and the thing we learned was we
should not make them four days long.
So half a day, only
half a day of your time.
Tom: Today.
But, we have also run, a similar workshop
to this with, a, few companies and
the, specific format has been tried
and tested and feels, very effective
for a cross-disciplinary design group.
So we have run it with a group of up
to 60 people, so who knows if we'll get
to that number with this, but it, it
scales quite nicely to, to large numbers.
check it out.
Come along if you fancy it,
and, we would love to have you.
But more details with actual information
and a URL, we'll send you that soon.
But I think for now we should probably
wrap up there, unless there's any final
words you wanted to mention, Jonny?
Jonny: No, please do tell us
what to put in our podcast.
we would really appreciate
guidance on this.
If you're invested now, if you got to
the end of this episode, then you are
invested to the tune of 50-odd minutes.
So spend one extra minute and
send us a message, and that
is podcast@nearfuture.works,
or if you know us, then just
use whatever communication
channel you, you know us through.
and that's it, yeah.
Until next week.
Thanks, Tom, and let's go and enjoy
the 39-degree balmy heat of, of
London and Manchester this week
Tom: Yeah, stay safe everyone.
Jonny: See you next week
Tom: we'll see you next week
Jonny: Bye