Episode Transcript
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Speaker 1 (00:17):
Welcome back,
architects.
This is the work week newsupdate.
Today is March the 5th, 2025.
Glad to be back.
We took a week off last weekjust to I don't know, just
needed a little break, but we'reright back at it this week.
We have three topics to discusstoday.
One is the latest on a newnonprofit that has been created
(00:40):
really to push cryptocurrency,so we'll get into that.
We'll also talk about Meta'snew brain to text functionality,
so that should be exciting.
We'll discuss that for a littlebit.
And then, last but not least,we will discuss the new
AgentForce 2DX update fromSalesforce that was just
(01:02):
released today, actually.
So let's get started.
So, first up, when we thinkabout cryptocurrency, the main
token or coin that comes to mind, the one that everybody knows
about, is Bitcoin.
Right, we all know aboutBitcoin.
A lot of times, we're lookingat the price of Bitcoin Is it
going up or down?
And most people, when theythink about cryptocurrency, they
(01:25):
are thinking about Bitcoin.
However, there are many, many,almost thousands and thousands
of different tokens and coinsthat exist in this
cryptocurrency world, and thosecoins and tokens can be used to
buy things, exchange assets,create different types of
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economy and business in smallcommunities, all online, and so
when we think of cryptocurrency,I just want tokens called.
Ripple actually launched anonprofit recently to educate
(02:10):
the public on cryptocurrency, sothe National Cryptocurrency
Association, nca, ripple hasinitiated this, this nonprofit
organization with the pure focuson educating the public about
cryptocurrency adoption, andthis move really aims to kind of
make it normal or normalizedigital assets and promote just
(02:35):
responsible usage ofcryptocurrency tokens, coins, so
on and so forth, and they haveput up a large check to get this
organization started.
So Ripple is supporting NCAwith a $50 million grant, really
just highlighting itscommitment to fostering a
(02:55):
broader understanding ofcryptocurrencies amongst the
general public.
There's obviously a sector ofour population that is into
cryptocurrency and businesseshave already been built around
that, but when you think aboutthis 50 million dollar grant to
support this nonprofit, that'sthat's a big, big statement, and
so the organization plans toprovide educational resources,
(03:20):
explanations, real life storiesof cryptocurrency usage.
All of this to try to bridgethe gap, or the knowledge gap as
it relates to cryptocurrency.
Nca it's technically a 501c4nonprofit, but that C4 status is
(03:46):
going to allow them to do somelobbying, do some advocacy.
So this isn't just aboutinforming the public.
This is also about advocatingfor new laws and changes as it
relates to cryptocurrency.
Matter of fact, ripple itselfcurrently has an ongoing legal
battle with the SEC, so thismove clearly highlights the
company's efforts to influencepublic perception and
(04:09):
discussions all aroundcryptocurrency.
So it looks like it's going tobe a big year for crypto.
Matter of fact, president Trumpjust announced a cryptocurrency
summit that is scheduled forthis Friday, march 7th, and that
is aimed to discuss the futureof digital assets and regulatory
frameworks all aroundcryptocurrency.
(04:31):
Ripple CEO is going to be inattendance and is expected to
heavily participate.
So all of this action from thenonprofit being created and
these summits and all the lawsthat are changing cryptocurrency
looks like it's a ghost, agreen light here in America over
the next at least four yearswhile President Trump is in
(04:52):
office.
Okay, so next up, meta'sbreakthrough in non-invasive
brain to text technology.
You heard that correctly therehas been a breakthrough in
Meta's research lab.
So Meta, in collaboration withsome other organizations, has
developed a non-invasive brainto text system that is capable
(05:19):
of decoding unspoken sentencesfrom brain signals with up to
80% accuracy.
So I'm going to say that againA non-invasive brain-to-text
system that can decode unspokensentences that somebody is
thinking in their brain.
This advancement gives us theability to eliminate the need
(05:43):
for surgical implants, and youknow I'm saying the need as if,
like anybody needs surgicalimplants.
But we know that there arecompanies and there are
institutions that are workingtowards trying to intercept and
capture brain activity, and so,in that field, this allows them
to capture some of thosethoughts without putting
(06:06):
anything inside your brain.
And so this is, in that field,for those folks that are
interested in that, for thosecompanies that are researching
that, this marks a significantstep towards brain and computer
interface technology, the actualtechnical approach.
Really what they're doing.
The system utilizes magneticfields that are produced from
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this brain neural activity.
So what they did was they gotparticipants to pretty much hook
their brain up and essentiallythey recorded what they were
thinking while that participantwas typing out sentences, and so
they recorded all this data,they got all these patterns and
they use that data to train anAI model that can predict the
(06:53):
corresponding text that iscoming out of somebody's
thoughts.
And so, with that particularability, now they can simply,
without the person typing on thecomputer, they can just think
what they want to type and itshows up on the screen.
And this has a lot of potentialapplications when you think
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about it.
It's not all doom and gloom.
This technology holds promisefor individuals who may have
communication impairments, so itmight offer a means to
translate thoughts directly intotext.
It could really revolutionizereally human computer
interaction by enabling handsfree control of devices and
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other things just from yourthought alone and other things
just from your thought alone and, if you think about it, to have
something that's just on yourhead or maybe at some point not
even on your head, but yourability to be able to think it
and type it out or control asystem is extremely powerful,
extremely dangerous, butextremely, extremely powerful.
(07:57):
Matter of fact, the ability todecode brain activity is raising
a lot of significant ethicalquestions regarding privacy and
consent.
So there's going to be a needfor some robust regulations to
really prevent potential misuseof brain data by corporations,
by government.
(08:17):
So we're going to need to haveregulations in place as some of
this technology comes on board.
But I think you know we'restill a long way from this being
used by everyday citizens.
You know, despite its potential, the technology currently
requires all these expensivegadgets and equipment and it has
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to be done in a lab with MEGscanners and so that you know.
Right now there's no practicaltool for us to be using this out
on the street, but we know howtechnology works, we know how
fast it moves, so be on thelookout for this over the next
five to 10 years, where folkshave maybe a headband on and you
(08:58):
are sitting at your screen andyou're just thinking away
instead of typing away.
And last but not least,salesforce, being used by a lot
of corporations in America, hasannounced its AgentForce update
to 2DX.
So the Salesforce AgentForceupdate 2DX was released just
(09:21):
today and it was unveiled bySalesforce as an advanced
iteration of this digital laborplatform.
They call it a digital laborplatform.
That is translation for botsthat replace human workers.
So they released this update.
It is designed to embed theseproactive autonomous AI agents
(09:46):
into a variety of differentbusiness workflows.
So this new release, thisdevelopment, really aims to
enhance operational efficiencyin companies by allowing these
AI automated agents toanticipate the needs of the
company and initiate processeswithout any human the company
(10:11):
and initiate processes withoutany human prompts or any human
input, and so that's really oneof its key features, this new
rollout is this proactive agentfeature.
So, unlike some of the kind ofthe previous versions of this.
These agents can just operateautonomously, they can monitor
data changes, they can executetasks across different systems
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in the company and really on thedeveloper side, it allows folks
that maybe aren't even deepinto coding and things like that
to create these agents andcreate different types of tools
for creation, testing,deployment of these agents.
They have a marketplace whereyou can literally go.
(10:53):
If you are a Salesforcesubscriber, you can go in and
select different agents that youfeel like might be good for
your business.
Hey, give me a customer serviceagent, give me an accounting
agent, give me an agent that'sgoing to help with internal
human resources.
Right, I mean, it's all kindsof different agents that already
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exist in the agent marketplaceright now for Salesforce and it
kind of facilitatescollaboration and really
acceleration of these agentsacross many, many, many
different industries.
Salesforce is truly aiming, Ibelieve, to reimagine work and
think about it in terms of theseagents and replacing workers
(11:37):
with agents that can handleroutine tasks and can truly
augment full-time employeecapabilities and everything from
enhancing customer service tocrunching numbers.
They believe these agents cando these tasks now on a regular
basis.
Salesforce does anticipate thatthe adoption of AI agents is
(12:01):
really just in its early, earlystages.
These technologies, theybelieve, will contribute to
revenue significant revenue forSalesforce, but also saving
money for a lot of its customersacross their portfolio and
they're kind of looking at theyear 2027 for full adoption of
some of these agents withincompanies.
(12:24):
I was listening to something ora speaker the other day and they
were saying that really, thenext billion dollar company,
don't be surprised if it comesfrom a single person business,
right, or one or two personbusiness that is surrounded by
other agents that can handle allof the other different tasks
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that a normal business wouldneed, and not to go as far as to
say that the generation that'scoming up now, that is in high
school, in middle school, theymight be the first generation in
a long time that will not beworking.
They will not work and I knowthat is that is somewhat scary
(13:07):
to some to think about.
Oh, my goodness, what's goingto happen?
They won't have work, theywon't have any jobs, they won't
have a way to make money.
I actually don't believe that.
I think there will be a lot ofdifferent ways for these kids to
make money, but I think it's abeautiful thing.
I mean most folks, at least inmy generation and those
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immediately before mine.
They spent the majority oftheir life 19, 18, 19, all the
way up to sometimes 60, 65, 70years old, working right Monday
through Friday or 40 hours aweek.
Working man, what an amazingthing if we can have a
generation come and, yeah,that's not something that they
did, that was something thattheir ancestors did, that was
something that theirgrandparents did.
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They don't work.
They don't work.
They get money in other ways.
I think that can open up thedoor to a lot of amazing things,
but the groundwork is beinglaid by companies like
Salesforce and others in termsof deploying these AI agents
that can do.
A lot of these routine tasksthat we consider to be work now
can absolutely be handled byLLMs and AI models in the very,
(14:15):
very near future.
And that is it for yourWorkweek News Update.
Please, please, don't forget tofollow us on Apple Podcasts,
spotify or wherever you listento your podcast.
And until next time, keep upthe good work, keep up the
(14:43):
scratch work, keep building Bye.