Everyday AI Podcast – An AI and ChatGPT Podcast - EP 245: AI News That Matters - April 8th, 2024
Episode Date: April 8, 2024Is Google really going to charge money for AI search? Will job loss be so bad that we'll need to be saved by....big tech? And is AI music actually so good that the world's biggest musicians ...are worried? We'll be talking about that and more on Everyday AI's news that matters for the week of April 8, 2024.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on AIRelated Episodes:Ep 191: AI Search Takeover – The End of Traditional SEO + Web Browsing?Ep 207: AI Will Allow Us All to Make Music We EnjoyUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTimestamps:01:50 Google introducing AI search with new ad formats.07:51 Startup seeks funding for integrating AI into devices.11:54 Claude's new tool will change global usage.15:09 Musicians and authors unite against AI threats.18:59 OpenAI, copyright, and lawsuits in tech companies.22:12 Major tech companies form AI workforce consortium.28:02 AI transformative, impacting workforce; JPMorgan embraces evolution.30:10 Companies shifting stance to embrace generative AI.Topics Covered in This Episode:1. Google's proposed idea of charging for AI-based search.2. AI in the Music and Writing Industries4. Big tech companies forming a consortium targeting job loss due to AI.3. JPMorgan Chase’s new position on generative AI.Keywords:Jordan Wilson, Ken, large language models, VC money, Anthropic AI, Claude AI models, Opus model, AI music generation tools, Billie Eilish, Nicki Minaj, Katy Perry, James Patterson, Suzanne Collins, AI news, Google, AI-based search, search generative experience, Jony Ive, Sam Altman, OpenAI, JPMorgan Chase, generative AI, ChatGPT, tech industry, Spotify, Apple Podcasts, copyright law, lawsuit, Adobe, tech layoffs.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.
Transcript
Discussion (0)
This is the Everyday AI Show, the everyday podcast where we simplify AI and bring its power to your fingertips.
Listen daily for practical advice to boost your career, business, and everyday life.
Meet Firefly AI Assistant, now live in Adobe Firefly, the All In One Creative AI Studio.
Just describe what you want to create and the assistant handles the rest,
orchestrating multi-step workflows across Photoshop, Premiere Express, and more in one conversational interface.
You direct the outcome.
The assistant accelerates execution.
Is Google going to start charging for AI search?
What's going on with job loss due to AI?
And is AI music actually good enough that musicians are worried about it?
We're going to be talking about those things today and more on Everyday AI with our AI news that matters.
What's going on, y'all?
My name's Jordan Wilson.
I'm the host of Everyday AI.
And if you're new here, well, this is for you.
Everyday AI is a daily live stream, podcast, and free daily newsletter,
helping everyday people like you and me, not just learn generative AI,
but how we can all leverage it to grow our companies and grow our careers.
And one of the most difficult things in my experience is to keep up with the AI news.
There are so many things happening.
You could spend literally hours a day and still get left behind.
Or you could join us every, just about every Monday when we do this with our AI news that matters,
where we recap not just what's going on.
But what is going to be going on and how it's going to impact you?
All right.
So if that sounds good, and if you're new, make sure to go to your everyday AI.com and sign up
for the free daily newsletter.
Why haven't you signed up for the free daily newsletter yet?
It's written by me, a human, and it's a great way to keep up to date.
All right.
And also make sure on our website, you can go back and read just about every single back
issue live stream podcast we've ever done.
All right.
So for our live stream audience joining us like big, big boogie face.
All right.
I like that.
Colorado Lowe's joining us from YouTube and Brian and Tara Rolando joining us from LinkedIn.
Thank you.
Let's get this, let's get this thing started and go over all the news that matters for the
week of April 8th.
All right.
Big one here, which I've got some takes that I'll say for the end.
But Google is considering charging for AI-based search, a potential shift in its
monetization strategy.
All right.
So Google is contemplating charging for its AI-based search, a departure from its normal
ad revenue model as reported by the financial times.
So the AI native search is called search generative experience, SGE, and it allows users
to ask questions in plain language and receive direct answers from large language model,
which is Gemini.
Google's.
So currently, Google monetizes only about 30% of searches through ads, related to
to products and services which may not align well with conversational AI search results.
So to explore alternative monetization avenues, Google is experimenting with ad formats like
paid source citations and sponsored product images within the new AI search results.
Industry analysts suggest that charging consumers for AI search could pose challenges,
especially if perceived as an evolution of traditional search rather than a novel service.
So failure to find innovative ad formats to monetize AI search might push Google towards
collecting referral fees from brands for purchases resulting from AI generated search outcomes.
So long story short, y'all, I did not expect to see this news coming from Google, if I'm being
honest.
So if you haven't seen SGE search generative experience, it's essentially when you log on to Google
and you search something.
And instead of getting the traditional, you know, 10 results on a page, you actually get a suggested kind of answer.
So it's similar if you've used perplexity.
It is kind of not saying, you know, it's Google's answer to perplexity.
But it would be its kind of alternative to perplexity.
Here's here's a couple hot takes that I have.
Google's SGE is actually one of its better AI products.
if you're asking me, I've tried to use them all.
You know, one thing about Google's Gemini, you know, as an example, I've talked about this
on the show before.
Even our team has the Enterprise account.
And even as of last week, I haven't checked this morning yet, but we still can't even
connect our data.
We still can't even, you know, as an example, connect to Google's own, you know, YouTube,
real-time Google search.
So I'd say Gemini has been a pretty poor rollout.
However, I am a fan of Google's.
search generative experience, SGE.
I do think that's the future of search, you know, and things like perplexity, you know,
so being able to, you know, put in a query.
And instead of having to, you know, search or read or go on a rabbit hole down, you know,
10, 15 different web pages, instead you get a quick summary of those different web pages and
almost like a summary of the summary.
So if you're new to generative AI,
using something like Google's SGE, SGE,
perplexity, even, you know, co-pilot from Microsoft is getting a little better at this as well.
They have their new deep search option.
It's going to be one of the best ways to save time, if I'm being honest.
And it's just going to be easier on your eyes, right?
I talk about this on the show all the time.
But one of the things that I think right now is causing so much of us to lose time in this new age of AI.
is it's hard to read the internet now, right?
Big internet publishers because of, you know, SGE, because of perplexity, because of chat,
GBT, they're losing users and they're losing ad revenue on their site.
So they're just putting more and more ads.
So it does make it harder to go learn something.
You know, if you're working on something for work, you might, again, you might have to
read 5, 10, 15 different pages.
And those 5 to 10, 15 different pages are getting more difficult to read because there's
more and more ads.
So, you know, interesting approach here from Google.
considering to charge for AI-based search.
I know it's not Tuesday, so I'm not going to come with full hot takes,
but I don't think that this approach will work well.
I do think Google is seeing how the market might respond to this news,
how their stock might go up or down.
And there hasn't been much movement since this was first reported, I believe, on Thursday.
So I just don't see this working out, if I'm being honest,
because there's other free alternatives that are offering this similar, similar or better technology.
I would say if Google were to charge for essentially AI search for their SGE, even though it is a good product,
what I see happening is investors pouring even more money into perplexity, into fraud,
and those services, you know, taking even more of the market share from traditional Google search.
All right, let's keep this AI news train rolling.
So former Apple designer, Johnny Ive and OpenAI CEO Sam Altman, their new AI device startup is apparently in funding talks.
So former Apple designer Johnny Ive and OpenAI CEO Sam Altman are in discussions to launch an AI-powered personal device startup, according to a new reports from the information.
So Ivy and Altman are working on a reportedly groundbreaking new AI powered.
personal device. The device is expected to be unlike a typical smartphone and will use AI to perform
an all-encompassing user experience without the need for traditional apps or interfaces.
So we've been talking about this on the show here at everyday AI for months, you know,
but the specifics of this device are not fully disclosed, but it is suggested that it could
integrate AI into various aspects of daily life and potentially focusing on personal and home devices
as well. So the new news here is that the startup is seeking funding and has engaged in talks with
prominent VC firms Emerson Collective and Thrive Capital. Thrive Capital, as well, you may or may not
know, is a major investor in Open AI and could potentially collaborate on leveraging OpenAIs
conversational AI for the devices features. Obviously, we do assume that if a hardware device,
is ultimately what Ivy and Altman are working on.
We do assume so much that it will be integrated with OpenAI's products,
both, you know, chat GPT or the GPT model,
as well as their new voice engine that they've announced.
You know, depending on what the device is,
maybe it's integrated with SORA, Dali, et cetera.
But you do have to believe that whatever they're working on,
it's going to be big.
You know, this has been under wraps now for several.
months. This is kind of the first initial reporting with details aside from this, you know,
reported partnership, but they are reportedly now according to the information in talks with
different VC firms. All right. Let's talk more large language models. Yeah. And hey, I agree with
what Ken saying here on the on the show live. So if you're joining this live, I'd love to hear your
thoughts as we go along saying that's a lot of foolish VC money.
out there just saying, you know what? I'd say this, Ken. I personally wouldn't bet against
John Ivy and Sam Altman. That's just me. You know, John Ivy was obviously very instrumental in,
you know, the iPhone, MacBook, IMac, a lot of Apple's kind of very prominent hardware and
their kind of rise to world dominance in the, you know, smartphone and in computer markets.
So personally, I think it might be money well spent for those, you know, those, those, those
capital firms looking at this. All right. So speaking of all these large language model companies,
Anthropic in their Claude AI is launching a beta for tool use functionality in its
quad models. All right. So this is an interesting one here. Anthropic AI has introduced a beta
version of its tool use feature for Anthropic Message API users, enhancing the functionality of
Claude's suite of generative AI models. So users can now.
integrate external tools into Claude, enabling real-time information retrieval and third-party
feature integration into Claude's workflow. So this integration allows for accurate data
sourcing directly from the original provider, reducing the reliance on web lookup and potential
inaccuracies in displayed information. So Claude's chain of thought reasoning model enables
the processing of complex commands and multiple third-party access integrations, facilitating
simultaneous queries and step-by-step information integration.
So all Claude AI models can handle various tool requests according to their release with over 90%
accuracy and choosing from a pool of 250 plus available tools. So this one is interesting in a couple
of ways. Number one, when people ask me, you know, hey, should I be using Cloud? I say,
absolutely not. If you're using it in the chat interface, I still wouldn't use it, right?
Until we see some of these tools, until we see some real-time internet connectivity within the Claude chatbot,
I would tell people do not use Claude in its own interface, right? I would say, even though
Gemini is very inaccurate, I would still say use Gemini, use ChatGPT, and use copilot because of their
connectivity to the internet out of the box, right?
So when Claude does integrate, you know, some of these, you know, this new tool use into
its actual chat interface, I think this is probably going to change, you know, my opinion
on that.
And I would assume it's going to change how the rest of the world is using their tools.
So it is interesting that Claude has been very slow or maybe very methodical in their
rolling out of third-party integrations.
But yeah, it's obviously with their new Claude 3 opus.
It is one of the most powerful, if not the most powerful tool, depending on which benchmark
you're looking at.
But yeah, their highest end Claude 3 opus model is outperforming GPT4, the original GPT4,
so you have to take that with a grain of salt, not GBT4 turbo, on a lot of these very
important benchmarks.
However, one of the biggest mistakes that people use, or sorry, one of the biggest mistakes that people make in using a large language model is not understanding how these models work.
And one of the biggest downsides is a knowledge cutoff.
So if you're working with data that is more than a year old, which is what most large language models are working with, because it takes time to gather all this data, to train on it, to go through, you know, this, you know, reinforcement learning.
and real human learning feedback, right?
All these processes take time.
But, you know, odds data is pretty old, right?
As is all of these models based training data.
However, the rest of them have some sort of internet connectivity baked into the chat interface,
which, hey, at least as of Friday when I had last used, Claude, it didn't have.
So should be interesting to see when and if Claude does bring this tool use feature into its
actual chat interface and not just its API.
Yeah, I'd love to hear what you all think, too.
Have you used Claude?
You know, and if you're listening on the podcast, we always put, you know,
my LinkedIn and, you know, email where you can reach out.
You know, I'm curious what people's, you know, thoughts are since using Claude's new,
you know, Cloud 3, their openness model is their, you know, kind of strongest model.
I did a show, you know, kind of going side by side with chat GBT, you know, with GBT 4 Turbo and with
Gemini, you know, hey, at least early on, it doesn't matter how good of a response that a model gives
you. But if you're using it in the chat interface and you cannot connect with real-time data,
you really increase the likelihood of hallucinations or of just actually having to spend more time
on the back end, you know, something that I say a lot is what hasn't changed in a year, right?
And whatever, you know, line of work that you're in, what hasn't changed in a year?
But regardless, pretty big news from Claude in a step in the right direction,
integrating with all of these third-party tools.
Adobe just introduced an entirely new way to create, bringing the power and precision of its
creative suite into one conversational experience.
Meet Firefly AI Assistant, now live in the Adobe
Firefly app, the all-in-one creative
AI studio. Powered by Adobe's
creative agent, Firefly AI
Assistant lets you start with your vision,
just describe what you want, and
shape the outcome as it takes
form with the Assistant. The Assistant
orchestrates multi-step workflows
drawing on 60 plus pro-grade
tools across Adobe Creative Cloud
apps, including Photoshop, Illustrator
Premier, Lightroom Express, and
more to help bring your
ideas to life. You can
also get started with creative skills,
a growing library of pre-built workflows for common creative tasks,
like batch editing photos, creating mood boards,
portrait retouching, and creating social variations.
Every step the assistant takes is visible so you can refine, redirect, or take over at any time.
You stay in the driver's seat as the creative director.
Adobe Firefly AI assistant now in public beta.
See it today at firefly.adopi.com.
All right.
Next on our AI News, that matters.
So we have musicians and authors worldwide uniting against AI threats.
So 200 musicians have signed an open letter urging tech companies to refrain from using AI
music generation tools that could jeopardize human creativity.
So the artists, including some really big names like Billy Elish, like Nikki Minaj, Katie Perry,
Imagine Dragons, etc.
highlight the risk AI poses to privacy, identity, and livelihood.
in the music industry.
So AI models are generating obviously music, art and often writing, and it trains on
existing works reportedly without permission, right, which makes it challenging for artists
to protect their creations.
So there's companies like Adobe's Stability AI, Suno, and they're developing AI music generators,
even Google, you know, using reportedly, right, licensed music.
but concerns remain about the impact on artists creating original content.
So musicians have historically faced challenges, obviously, with evolving technologies,
such as low streaming royalties, leading to skepticism toward AI advancements in the industry.
Also, over 15,000 writers have kind of joined this movement, including some notable names like
James Patterson and Suzanne Collins, also expressing concerns in this open letter.
So let's go ahead and take a look at this open letter that they posted.
I believe it is called the Artist Rights Alliance.
And this is kind of part of their open letter that they posted last week.
And we posted this in our newsletter as well.
But let me just read the top half of their letter.
And I'm going to get into some of my thoughts on this here.
So it says we, the undersigned members of the artists in songwriting communities,
call on AI developers, technology,
companies, platforms, and digital music services to cease the use of artificial intelligence
to infringe upon and devalue the rights of human artists.
Make no mistake, we believe that, when used responsibly, AI has enormous potential to
advance human creativity and in a matter that involves the development or enables the development
and growth of new and exciting experiences for music fans everywhere.
So here's a couple of things.
it's kind of a confusing statement, right? So it's, it's their, I believe they shouldn't have even
acknowledged, like the promise of AI in the music industry. If you're going to call out and,
you know, kind of put up a fight against AI music, you can't kind of also, you know,
slap them in the face with the left hand, but shake their, their hand with the right hand.
I mean, you have to put a fight up. There's some, some interesting, you know,
thoughts here, you know, in the, in this letter. But a couple of things that stood out to me is that they
said that these kind of AI music generation tools could jeopardize human creativity. And I don't think that
is necessarily the case. We do have to call out some of the great, you know, AI kind of music generators
out there. But, you know, also they don't talk a lot about how they train their models, right? For the most
part. You know, companies like, you know, stability, stability AI just released their kind of
2.0 version of their song generator. Stability in the past has been very open saying, yeah,
we train on everything, right? We train our models on everything. Doesn't matter if it's copyrighted
or not, right? So some companies are very almost brash in saying, yeah, we train on everything.
It doesn't matter. And, you know, a lot of these companies open AI as well, making the case that, hey,
you know, copyright doesn't mean what it used to mean, right? So I think all eyes, as we've talked about
for a while, I think all eyes are still going to be on this, you know, Open AI versus New York Times
lawsuit from back in December. You know, presumably this will be settled, but who knows,
maybe it will actually go to court. But I think, you know, that's going to be one of the first
biggest rulings on an AI copywriting case. And can these large companies or do they have kind of
enough money to settle these ongoing lawsuits, right? I've been saying this now for a year.
One of the best, if you want to talk about job security, one of the best places to be right now
is a lawyer who's working with copyright, IP, intellectual property, right? Because this space,
there are going to be so many, so many lawsuits. I think we're going to be hearing, you know,
especially once one of the shoes drops in one of these big cases. We're going to be hearing about
lawsuits, nonstop.
And, you know, digging into where are these companies training from, right?
We assume it is the open Internet, which obviously includes copyrighted materials.
You know, there's obviously the now infamous, you know, interview where the Open AI CTO, when asked about,
hey, where are you training, you know, SORA, right?
Open AI is very impressive new AI text to video platform.
And she kind of just froze, right?
on a very basic question, like, are you, you know, training this model from YouTube?
Are you training this from social media?
And she kind of just froze up and gave a blanket answer that didn't really make a lot of sense.
But, you know, presumably all of these large companies are using copyrighted materials to train their models.
Not all, right?
Some are taking a very methodical approach.
Like as an example, I do think companies like Adobe are taking a little more cautious and
slower approach and training a little bit more and making sure that they have access to all
of the information that they're training on.
But a lot of the other companies aren't.
They're just training on literally everything.
So pretty interesting take here.
But I don't think what the artists are saying that AI should kind of jeopardize their own human
creativity because AI isn't stopping you from being creative.
And people always say, oh, is AI more creative than the average human?
Absolutely. People argue and say, oh, AI is not creative. It is absolutely creative. If you use it the correct way, AI is way more creative. Again, if you use it the right way, AI is way more creative than any single, most creative single human being in the world. It is more creative than the most single human being in the world because different AI systems are an absolute expert in all these different fields. Right. So it should be interesting to see how this one pans out.
All right.
Our next piece of AI news that matters.
So major tech companies are joining forces to address AI job loss.
Interesting take here, right?
So companies such as Google, IBM, Indeed, Eightfold, Accenture, Intel, Microsoft, and
SAP have formed the AI-enabled ICT Workforce Consortium led by Cisco.
So this consortium aims to positively.
impact and reskill over 95 million individuals globally in the next 10 years by providing
these upskilling and reskilling opportunities due to accelerated AI adoption.
So this new group will assess 56 ICT job roles affected by AI and formulate training
recommendations to match the skills sought by these companies.
So Cisco, as an example, aims to train 25 million people in cybersecurity and
digital skills by 2032, while IBM plans to equip 30 million individuals with digital skills by
2030, including 2 million in AI.
You know, so pretty interesting to see the companies involved here, right?
Because as an example, right, IBM was one of the first companies last year where their CEO
mentioned freezing, hiring for 7,000 roles expected to be automated with AI.
and highlighting the potential impact on non-customer-facing roles.
Right.
So it's pretty interesting.
I guess it's a good thing to see that a lot of these companies that in theory are
developing this AI technologies, these different large language models, generative
AI models that in theory are causing job loss, it is obviously good on them to be investing
time, money, and resources to deal with the implication of job loss, right?
It's something that we don't want to talk about.
It's the elephant in the room.
I've said all along.
I'm not one of those people that say, oh, you know, AI won't take your job.
Someone using AI will.
That's a bunch of BS, y'all.
Like AI is definitely going to take way more jobs than it creates.
Yes, there will be millions, tens of millions of jobs in the future that did not exist before generative AI and before AI became more widely used by, you know, company small and large.
But I do think in the end, it will be a net negative.
I'm not trying to be a negative person.
You know, if you look at the math, if you look at the number, if you look at the science,
if you look at the development, there's no eating around it.
So it is good to see these companies forming this consortium to address AI job loss.
It's also important to note as well because there's already been nearly 60,000 tech layoffs
so far this year.
Yeah, we're only three months into the year.
And there's already been 60,000 tech layoffs so far.
including big names like Amazon, Microsoft, Cisco, Mozilla, DocuSign, so many others, right?
So as an example, this, I mean, so far in 2024, the tech layoffs are outpacing, you know, previous years.
If they continue at this base, this will be the biggest year for tech layoffs ever.
So why is this important and why is it tied to AI jobs?
Well, a couple of reasons, right?
If you have to think what companies understand the future impact on AI and job loss,
it is the companies making the AI, right?
It is the same companies forming this consortium, right?
So your Google, IBM, Microsoft, Intel, Accenture, right?
It is these companies both building these generative AI solutions and some of the big
consulting companies that are teaching the rest of the world how to use it.
So that is really worth looking at, right?
Where you have just like unprecedented tech layoffs so far in 2024.
And a lot of it is because of AI.
So what I would have liked to see, hey, this is great, you know,
that we have this consortium led by Cisco with all these big name tech companies.
And, you know, a lot of the companies building AI.
But this should have been going a year ago.
The writing, if you know and if you fully understand the power of generative AI, the writing has been on the wall for substantial job loss, substantial economic impact, especially here in the U.S.
The writing has been on the wall now for more than 18 months.
So it's great to see big initiatives like this.
I would have liked to see these a year ago because we are going to have a huge problem here, especially in the United States with job loss.
So it is going to be extremely important for these reskilling and upskilling opportunities,
especially from the private sector.
Because here's the other reason, y'all, like the universe like here in the U.S., the public
education, you know, public universities, they have completely dropped the ball on teaching
the next generation of workers, artificial intelligence, large language models.
They've still, still, you have some of the largest universities in the country here,
They're still banning generative AI use, which is wild, right?
So it is good that we have the private sector coming in for these upskilling and reskilling
opportunities because our, for the most part, our higher education system here in the U.S.
has completely dropped the ball on teaching the next generation these essential skills.
All right.
Last but not least, Jamie DeMond, I think that's how you say it, Demand.
So the CEO of J.P. Morgan Chase has emphasized the profile.
profound impact of artificial intelligence on society in his annual letter to shareholders saying
that AI will be as impactful on humanity as electricity, the printing press, computers, etc.
Right. The one that obviously jumped out to me is electricity. So he does foresee AI as a potentially
transformative technology comparing its impact to major historical technology inventions.
Like we said, the printing press, the steam engine, the internet, and even electricity. So,
JPMorgan Chase has over 2,000 AI and machine learning employees and data scientists with plans
for AI to augment various job roles within the bank's workforce.
So DeMont has acknowledged the potential of AI to both assist and replace certain job categories,
emphasizing the need for adoption and evolution within the workplace.
This one's pretty interesting because, you know, the rising prominence of AI highlighted by
the viral success of chat GPT in late 2020.
has contributed to the growth of tech companies like Chipmaker Nvidia and has reshaped the tech
industry landscape.
And this one here is a pretty big shift in tone, I would say, coming from JP Morgan Chase,
considering JP Morgan Chase was one of the first large companies to publicly ban chat GPT
usage amongst its employees in 2022 and 2023.
So pretty big shift in tone here, right?
Now saying that, oh, you know, generative AI is going to be, you know, as important for humans as
electricity.
Y'all, this is what I've been saying.
Companies that early on fought AI, fought generative AI, right?
Maybe at the time it was a lack of understanding.
You know, maybe they just wanted to be cautious when it comes to data, which I completely understand, right?
If there's something that you don't understand, you know, when we talked about this on the show last
week in our Hot Take Tuesday, companies that ban AI are going to fail, right? So I get, you know,
temporary bans, temporary restrictions as you learn the technologies, as you prioritize data,
transparency as you build guardrails and safeguards around generative AI usage. I get that.
If companies are still banning AI here in 2024, you are literally going to fail.
There's no way around it. But it is exciting.
I won't say it's exciting, but it is refreshing to see some of these companies that were,
you know, kind of big names early on, right? Because you had hundreds, probably thousands of
companies following the leads of, you know, J.P. Morgan Chase and other big companies that banned
large language models, right? It's follow the leader, right? So then you had, you know, hundreds and
thousands of companies in related, in related sectors following the lead of these big companies
that initially banned or completely restricted the use of generative AI technology.
And we talked about last week in our show that that number is still roughly 27% of companies
have still banned generative AI.
So if your company is still part of that 27%, follow the lead here of JPMorgan Chase.
They have shifted their stance, now understanding that generative AI will be as impactful
to humankind as electricity itself.
and now integrating generative AI and large language models from top to bottom throughout the
company. All right. That was a lot. Douglas, thanks. Thanks for joining us said joined us on
YouTube today instead of LinkedIn. Colorado saying good luck to the artists on their kind of stance
against these AI music generators. I agree. So yeah, there's a lot of information today. And just
to quickly recap the AI news that matters for this week. So we have Google considering charging for
AI-based search. We have former Apple designer Johnny Ive and OpenAI CEO Sam Altman, more information
coming out about their joint partnership. And apparently now reportedly talking to fundraisers
looking to raise a billion dollars. Anthropic has released its tool use functionality for its
clawed AI models. But right now, only while using the API and not,
in its actual chat interface, musicians and authors,
uniting against AI threats,
kind of releasing public statements saying,
hey, AI, stop what you're doing.
You're ruining our creativity.
Then you have the major tech companies joining forces
to address AI job loss, the big names, Google, IBM, Microsoft, Cisco, etc.
And then last but not least, we have the CEO of J.P. Morgan Chase saying,
yeah, this generative AI thing is actually big.
Maybe we shouldn't have banned it.
It's going to be as big to humankind.
as electricity itself.
All right.
I hope that was helpful.
Your one show a week,
we do this most every single Monday
where you can join us
for the AI news that matters.
So there's going to be a lot more
as always in our newsletter.
So make sure you go to your everyday AI.com,
sign up for that free daily newsletter.
We'll have not just this,
but also the daily AI news.
We have fresh finds,
which is just exciting and interesting use cases
and tools of generative AI from across the internet,
and we'll be recapping kind of this top news from today.
Also, if this was helpful, please consider leaving us a rating and review on Spotify or Apple
if you're listening to us on the podcast.
Or if this is helpful, share it with your network, right?
Keep all of your coworkers, your friends and family in the know so they can keep up with
what's going on in generative AI to grow their companies and grow their careers.
Hey, what Cecilia said.
Happy Monday, happy Eclipse day.
So we hope to see you back tomorrow and every day for more everyday AI.
Thanks, y'all.
Meet Firefly AI Assistant.
Now live in Adobe Firefly, the Allman One Creative AI Studio.
Just describe what you want to create in your own words and the assistant handles the rest,
orchestrating multi-step workflows across Adobe Creative Cloud apps,
including Photoshop, Premiere Express, and more in one conversational interface.
You direct the outcome while the assistant accelerates execution.
Stay in control with the ability to step in and refine at any time.
See it today at firefly.adobie.com.
And that's a wrap for today's edition of Everyday AI.
Thanks for joining us.
If you enjoyed this episode, please subscribe and leave us a rating.
It helps keep us going.
For a little more AI magic, visit Your EverydayAI.com
and sign up to our daily newsletter so you don't get left behind.
Go break some barriers and we'll see you next time.
