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June 16, 2025 11 mins
In this episode, we explore the growing presence of humanoid robots and their impact on the job market. We discuss the Stargate Project and its role in AI competition. OpenAI's evolving business model and recent upgrades to ChatGPT are examined for their potential effects. The Civic Data Design Lab's innovative urban planning initiatives are highlighted. We touch on Karen Hao's upcoming book about OpenAI and the Authors Guild lawsuit, offering insights into the legal landscape of AI. New UTM parameters for tracking ChatGPT traffic are introduced. The episode concludes with a summary of these discussions and closing remarks.
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Episode Transcript

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(00:00):
Are humanoid robots about to take over jobsfaster than we ever imagined?

(00:04):
Welcome to The OpenAI Daily Brief, your go-tofor the latest AI updates.
Today is Monday, June 16th, 2025.
Here’s what you need to know about OpenAI's CEOSam Altman's stark warning on the future of
work.
Let’s dive in.

(00:25):
In a recent interview with Bloomberg, SamAltman, the CEO of OpenAI, issued a direct
warning that artificial intelligence andhumanoid robots are set to reshape the global
job market at a pace unlike any technologicalshift we've seen before.
Altman emphasized that while technology hashistorically both eliminated and created jobs,

(00:45):
this time around, the speed of change is whatsets it apart.
He noted, "The thing that is different thistime is just the rate with which it looks like
it will happen."
Altman painted a picture of a not-so-distantfuture where humanoid robots will arrive and
perform many existing human jobs.
He highlighted that society has not yet fullygrasped the scale of this upcoming disruption,

(01:10):
adding, "I don't think the world has really hadthe humanoid robots moment yet, and I don't
think that's very far away." According toAltman, by 2025, AI agents could be capable of
completing many tasks currently handled byhumans, making AI job disruption a reality much
sooner than we might have expected.

(01:30):
The conversation with Bloomberg also delvedinto the Stargate Project, a $500 billion
infrastructure initiative aiming torevolutionize AI development in the United
States.
This massive project involves partners likeMicrosoft, Nvidia, Oracle, Arm, and SoftBank.
Altman described it as "a complex supply chainwith a lot of partners and obviously a lot of

(01:56):
capital." The first data center, currentlyunder construction in Texas, will be dedicated
to training OpenAI's next-generation models.
The Stargate Project is not just about datacenters.
It includes building energy plants and powerlines across the country over the next four
years.
The name "Stargate" was inspired by theoriginal layout of OpenAI's early data centers,

(02:19):
reminiscent of the sci-fi franchise.
Altman explained that OpenAI had to borrowcomputing power from its research wing to meet
the public demand, especially when AI-generatedGhibli-style images went viral.
"Making an image is not a low compute task," hesaid, underscoring the need for massive
computational resources.

(02:40):
Altman also addressed competition from ChineseAI startup DeepSeek, which claims to have
created more cost-efficient large languagemodels.
While he praised DeepSeek's talent, hedismissed suggestions that they had surpassed
OpenAI's technology, hinting that DeepSeekmight have used OpenAI's models via
distillation, a method to train smaller modelsfrom larger ones.

(03:04):
Looking ahead, Altman touched on OpenAI'sbusiness model, admitting that the company's
future depends on whether users continue to payfor AI services.
He also noted the surprising insight thatformer President Donald Trump has shown
regarding AI's impact, saying, "The decisionshe will make may be among the most important

(03:24):
anyone has made about AI." The Stargate datacenter in Texas marks the first step in what
could become the largest AI infrastructurebuildout in history, setting the stage for a
new era in global technology, economy, andlabor markets.
OpenAI has just rolled out some major upgradesto ChatGPT, and they're pretty exciting.

(03:46):
Imagine having a tool that not only helps withyour daily tasks but also becomes a powerhouse
for research and development.
That's exactly what's happening with the newfeatures added to ChatGPT's Canvas and Projects
tools.
Let's talk about Canvas first.
It's this live editing and formatting spacewithin ChatGPT that users have been loving

(04:07):
since its preview launch back in October 2024.
Now, with the latest update, you can exportyour work in a variety of formats like PDF,
Microsoft Word, and Markdown.
For developers, it's even better.
You can now export code directly inlanguage-specific formats such as Python,
JavaScript, and SQL.
So whether you're writing an article ordeveloping software, Canvas has got you

(04:31):
covered.
Now, if you're a paid subscriber, the Projectstool just became your new best friend.
It's designed to help you organizeconversations and keep track of all the
contextual information you need, like previouschats and uploaded files.
With the latest enhancements, Projects nowsupports deep research capabilities.

(04:51):
You can run complex, multi-step queries usingreal-time data from public web sources.
This is a game-changer for anyone who needsmore than just surface-level information.

And here's another sweet addition (05:02):
voice interactions.
Projects now integrates ChatGPT's voice mode,allowing you to go hands-free.
Whether you're on a walk or simplymultitasking, you can interact with the
assistant without lifting a finger.
Plus, mobile users haven't been left out.
The ChatGPT app on iOS and Android now lets youupload files and switch between AI models

(05:28):
directly within a project.
These were features previously only availableon desktop, so it's a big win for mobile
productivity.
These updates are all part of OpenAI's ongoingmission to make ChatGPT a versatile
productivity assistant.
Whether you're a casual user or a professional,these new tools are designed to enhance your

(05:49):
content creation, research, and developmenttasks.
It's fascinating to see how AI is evolving tomeet our needs in more dynamic ways.
Cities have been collecting mountains of datafor years, but what good is all that
information if it just sits there, untouched?
That's the question Sarah Williams, a professorof urban planning and technology at the

(06:11):
Massachusetts Institute of Technology, has beentrying to answer.
Shortly after she joined the institution backin 2012, she founded the Civic Data Design Lab.
Her mission?
To make all that urban planning data not onlymore accessible but also more relatable through
human stories and eye-catching graphics.
Imagine you're sitting in a city planningmeeting, surrounded by spreadsheets and charts

(06:36):
that make your head spin.
Sarah Williams wanted to change that narrative.
Her lab’s work turns dry data into vividstories that city officials can actually
understand and use.
The goal is to bridge the communication gap sothat the data collected by cities can actually
lead to meaningful action.
Why does this matter so much?

(06:57):
Well, the more effectively cities can harnesstheir data, the better they can serve their
residents.
From optimizing traffic flows to improvingpublic safety, data-driven decisions have the
potential to transform urban living.
And as cities continue to grow, the need forsmart, data-driven decision-making is only
going to increase.

(07:18):
Switching gears, let’s talk about the empirethat OpenAI has built.
AI journalist Karen Hao has written a booktitled "Empire of AI: Dreams and Nightmares in
Sam Altman's OpenAI." It delves into the storyof OpenAI’s rise to prominence and its sweeping
impact on the world.
Hao is set to join MIT Technology Review'sexecutive editor Niall Firth for an exclusive

(07:43):
conversation about the AI arms race and what itall means for us.
This discussion promises to be an eye-opener,exploring the ambitions and challenges of one
of the most influential AI organizations.
If you're curious about the future trajectoryof AI and how OpenAI fits into that picture,
this is a conversation you will not want tomiss.

(08:06):
Here's a big story shaking up the literaryworld and the tech industry.
The Authors Guild, alongside a group of fictionand non-fiction writers, has filed a
consolidated United States class actioncomplaint against OpenAI and Microsoft.
They're alleging something prettyserious—OpenAI has been infringing on their
works by copying their writing wholesale totrain its large language models.

Picture this (08:30):
OpenAI and Microsoft have built a business valued in the tens of billions of
dollars.
But according to the complaint, they've done soby using the combined works of humanity without
permission.
Instead of paying for intellectual property,like when someone buys a book, the complaint
argues that they operate as if copyright lawsdo not exist.

(08:53):
This is a pivotal moment, not just for authors,but for how we think about intellectual
property in the age of artificial intelligence.
The implications of this lawsuit could rippleacross industries, potentially reshaping how AI
companies source the data they use to traintheir models.
It’s about more than just money—it’s aboutrecognizing the value of creative work in a

(09:16):
digital world.
As this legal battle unfolds, it raisesquestions about the balance between innovation
and intellectual property rights.
How do we ensure that creators are fairlycompensated for their work while still
encouraging technological advancements?
It's a complex issue, and this case might justset some new precedents.

(09:38):
Let’s dive into the latest update from OpenAIthat’s set to make waves in the world of web
analytics.
If you’ve ever struggled with tracking trafficfrom ChatGPT to your site, this one’s for you.
OpenAI has rolled out an update that addsadditional UTM parameters to help track clicks
more effectively.

(09:58):
This change is particularly exciting formarketers and analysts looking to get a clearer
picture of where their traffic is coming from.
So, what exactly does this mean?
Previously, links in the 'more' section ofChatGPT didn’t include UTM parameters.
But now, they do, which means you can trackthose clicks in Google Analytics 4 and other

(10:21):
analytics tools more accurately.
Glenn Gabe, a noted industry expert, noted onsocial media that this update should lead to a
noticeable jump in traffic levels reported inanalytics.
Imagine being able to see not just that avisitor came from ChatGPT, but specifically
which part of the interaction sparked theirinterest.

(10:42):
That’s the power of these new UTM parameters.
For businesses relying on data-drivendecisions, this insight is invaluable.
This update underscores OpenAI’s commitment toenhancing the utility of ChatGPT for both users
and businesses.
By making it easier to track and analyzetraffic, they’re opening new doors for

(11:04):
companies to understand their audience betterand refine their digital strategies.
Well, that’s it for today’s OpenAI Daily Brief.
From Sam Altman’s bold predictions about AI’simpact on the job market to ChatGPT’s exciting
new tracking capabilities, there’s a lot todigest.
Thanks for tuning in—stay updated as the worldof AI continues to evolve.

(11:27):
This is Bob, signing off.
Until next time.
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