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Today, we are going to talk about YouTube working on the AI slop, EY’s Academy, and more.
In today’s post:
YouTube’s new move against AI slop
EY’s AI Academy just went public
McDonald’s AI blunder shows security blind spots
Tesla’s robotaxis are headed to Arizona
What’s Trending Today
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AI slop
YouTube’s AI problem just got a policy update

YouTube is tightening the rules on what kind of content gets paid. Starting July 15, the platform will formally target "inauthentic" and repetitive uploads.
Here’s everything you need to know:
The update is part of YouTube’s Partner Program policy change aimed at monetization.
It doesn’t ban AI but it targets AI-generated content that feels low-effort or spammy.
Think: AI voiceovers on slideshows, repetitive clip compilations, or AI music loops.
YouTube says this content has already been ineligible the update just makes that clearer.
Creators worried about reaction or commentary videos were reassured they’re not the target.
The deeper issue: AI has made it absurdly easy to mass-produce low-quality content.
And with viral AI hoaxes, fake news videos, and even phishing scams on the rise, YouTube’s making a preemptive strike.
Calling this a “minor update” misses the point. YouTube’s not just tweaking guidelines, it’s drawing a line between real creative work and algorithmic junk. As AI tools spread, every platform will face this reckoning: reward scale, or reward substance?
Education
Training for impact: EY’s plan to fix the AI skill gap

EY India just opened its internal AI Academy to the entire industry. It’s a bold move to close the GenAI talent gap across sectors.
Here’s everything you need to know:
The Academy offers hands-on learning through 200+ real world AI use cases.
It covers everything from AI basics to advanced GenAI, tailored by industry.
Modules are role-specific from frontline workers to senior leaders.
Over 44,000 EY employees have already completed the internal training.
A pilot with five companies led to 50+ new AI projects and leadership manifestos.
The program targets tangible business results: revenue, efficiency, customer experience, risk.
With 97% of enterprises citing talent shortage as their top AI barrier, timing matters.
Most AI upskilling efforts stop at theory. EY’s Academy goes further embedding real use cases, tied to business outcomes, and scaled across roles. If other firms follow suit, we might actually solve the AI talent problem before it solves us.
Blunder in AI
AI hired staff and let hackers in the back door

McDonald’s AI hiring platform just made a major security blunder. Researchers found it was leaking millions of applicant records, all thanks to a laughably weak password.
Here’s what happened:
The platform, McHire. com, run by Paradox. ai, used “123456” as a backend password.
Security researchers Ian Carroll and Sam Curry discovered it could expose up to 64 million records.
Data included names, phone numbers, and emails, all linked to job applications.
The system’s chatbot, “Olivia,” was the AI interface but behind it, basic web flaws remained.
McDonald’s acknowledged the issue and criticized its third-party provider’s lapses.
Paradox. ai claimed to have fixed the breach quickly and is launching a bug bounty program.
Carroll called the system “uniquely dystopian” and said phishing risks were massive.
This wasn’t just a technical error, it was a failure of basic digital hygiene. As companies rush to automate with AI, the temptation to skip the boring-but-essential stuff like passwords and permissions will keep growing. But if your AI can hire at scale, it can also leak at scale. That’s a tradeoff no business can afford.
Growth
From Austin to Phoenix: Tesla’s self driving push continues

Credits: Reuters
Tesla has applied to test and operate robotaxis in Metro Phoenix. It’s part of Elon Musk’s plan to scale self-driving services across the U.S.
Here’s everything you need to know:
Tesla contacted Arizona’s Department of Transportation on June 26 to begin certification.
The company requested permits for both testing with drivers and full driverless operation.
It follows the invite-only robotaxi pilot Tesla launched in South Austin last month.
Arizona’s process is simpler than California’s, where Tesla still lacks key permits.
Tesla also aims to launch in the Bay Area soon pending regulatory greenlights.
Emails show Tesla’s counsel already met with Arizona officials and asked for introductions to local agencies.
Unlike Waymo, Tesla doesn’t yet have ride hailing permits to charge for rides in Arizona.
Tesla’s pushing hard on robotaxis but fast expansion doesn’t mean frictionless rollout. States like Arizona might be more open than California, but regulations still matter. The real test isn’t the tech. It’s public trust, safety and how fast Tesla can clear legal hurdles without tripping over them.
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