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The AI Briefing is your 5-minute daily intelligence report on AI in the workplace. Designed for busy corporate leaders, we distill the latest news, emerging agentic tools, and strategic insights into a quick, actionable briefing. No fluff, no jargon overload—just the AI knowledge you need to lead confidently in an automated world.
Hi folks!
Welcome to another AI briefing.
My name is Tom and we are back
to talk about the latest and greatest in AI.
Now, of course today is the day after
the Mifos and Fable model
releases for Omanthropic and of course there's been
an awful lot of excitement about those models. Now,
I'm sure they're great.
I try to do some stuff on it
last night that wasn't coding.
I saw absolutely zero improvement but, you know,
fair enough.
But, you know,
you don't necessarily have to go charging and
starting to use an X model and the
reason I say this is because I do
a lot of sort of legacy platform engineering,
modernization and building applications that require
distributed compute, data engineering, that type
of thing and I use a lot of
AI to help me, you know, come up
with that type of stuff but you don't
necessarily need the most cutting -edge model anymore.
I'm less interested these days in the
model capabilities more like where can I run
that model and how can I also interact
with it in a way that is not
a chatbot because I spend an awful lot
of time just chatting with Claude and just
like dealing with different aspects of life,
you know, and chatbots are fine and you
can obviously from that an agentic programming
perspective set them off on long -running tasks
and leave them to it but in reality
AI isn't going to be who wins the
chatbot race because that's just not a convenient
way of interacting with an LLM and so
from a product development perspective and when I
speak to organizations and companies who
are interested in leveraging AI
the question is not like how can I
implement my latest chatbot.
The question is more like how can I
save my team, my organization time by
taking away the repetitive work, the stuff that
doesn't need that interaction or you can interact
with it in a different way so product
design isn't, you know, isn't always the same
and so are there ways being able to
leverage LLM technology without having a user having
to sit there, chat with it, talk with
it, whatever and of course the answer in
a lot of these cases is yes but
people are so used to interacting with a
chatbot by text that they don't
end up leveraging it in any other way
and that can obviously have a negative impact
on product design so at Concept of Cloud
a lot of the stuff we do is
about how to interact with the data that
underpins all of this and you'll hear me
harking on about this a lot because an
LLM is just pointless without the
data that underpins it because
that needs to be able to be served
up and so you know what can we
do to make LLMs more efficient, more reliable,
more beneficial to you as a user,
as a product owner you know and
that's the type of question that is always
pertinent so if you're looking to like deploy
something from an energetic AI perspective from
LLM few questions to ask yourself do you
need to have the latest and greatest model
because they're normally more expensive and they're often
slower so can you use a sonnet as
opposed to an Opus, can you use a
haiku because like that scale of an anthropic
models and of course OpenAI has the same
as to a lot of the other services
can vastly change the pricing and
the speed that you can reply to an
instruction in the LLM if you're not using
the heavyweight models so do you need it
and then is there a better way of
interacting with that model than typing stuff into
a computer because I bet you eight
times out of ten maybe not nine times
out of ten but eight times out of
ten there is a better way of interacting
with that model than typing some stuff that's
all for me today thank you for tuning
in once again to the AI briefing go
use that AI investigate that technology and figure
out how to make a difference in this
world but just make some sensible decisions when
you do and if you need some help
you know where to find us my name
is Tom I'll be back soon