Table Of Contents

Greetings, Robo-Revolutionaries,

How Netflix’s Mood Tech, Canva’s Design Dominance, and ChatGPT’s Memory Are Reshaping Our Digital Lives (While Someone Builds a $300 AI Rice Cooker)

This week, we witnessed AI’s accelerating identity crisis: systems that can predict your emotional state but still can’t explain their own bizarre outputs. Netflix now uses OpenAI to recommend shows based on your mood (search “I regret my life choices” for BoJack Horseman), while ChatGPT’s new memory feature means it won’t forget your 3 AM existential crises. Meanwhile, in the “Why? Just… why?”department: a $300 AI rice cooker proves innovation doesn’t always equal intelligence.

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AI News That Matters

1. Netflix’s Mood Algorithm: The End of Casual Browsing?

What’s New:
Netflix’s OpenAI-powered search now responds to emotional queries like “Make me feel hopeful” or “Shows to ugly-cry to.” Currently testing in Australia/NZ, it analyzes decades of viewing data to match titles to your psyche.

Why It Matters (Beyond Memes):

• For Marketers: Emotional targeting is coming to ads. Imagine Spotify suggesting songs based on your therapist’s notes.
• Privacy Trade-Off: To train these models, Netflix tracks pauses, rewinds, and when you abandon shows.
• The Creep Factor: As one beta tester noted: “It recommended The Social Dilemma after I argued with my partner about screen time. That’s not helpful—that’s judgmental.”

Pro Tip: If this rolls out globally, optimize your content with emotional keywords (“empowering,”“nostalgic”) in metadata.

Read the full research

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2. Canva’s AI Revolution: Design Democratization or Job Apocalypse?

Spotify has unveiled Gen AI Ads, allowing advertisers to create scripts and voiceovers at no additional cost. Announced during their Spotify Advance event in New York City, this feature makes it “easier than ever to create high-quality, scalable audio ads.”

The update is part of Spotify’s broader push toward automated buying and creative innovation, reflecting their “decades-long AI expertise.” Currently available to advertisers in the U.S. and Canada through Spotify Ads Manager, this tool promises to revolutionize audio advertising by making it more accessible and efficient—and by “accessible and efficient,” we mean “requiring fewer human creative professionals.”

Alongside Gen AI Ads, Spotify introduced their Creative Lab, a team dedicated to collaborating with brands to build unique campaigns tailored specifically for the Spotify platform. Previous successes include Bestie Mode with Coca-Cola and Oreo, American Express and Resy’s Music Taste campaign, and “100 Years of Chevrolet” in Brazil—all presumably created by humans who may want to update their résumés.

Read more

3. ChatGPT’s Memory: Convenience vs. Control

ChatGPT now remembers everything—your hobbies, your weird questions, even that time you asked for advice on faking your own death. (Just kidding. Maybe.) Pro tip: Use “temporary chat” if you’re planning a surprise party.

OpenAI’s latest update means ChatGPT remembers:

• Your preferences (“You prefer bullet points over paragraphs”)
• Recurring tasks (“You always ask for vegan recipes on Fridays”)
• Potentially awkward details (“That time you researched ‘how to disappear’”)

The Good: Fewer repetitive explanations.
The Bad: No way to mass-delete memories (yet).
The Ugly: Early users report it “sometimes recalls fictional details from role-play chats as facts.”

Protect Yourself: Use Temporary Chat for sensitive topics, or opt out in settings. Read more

AI Toolbox: This Week’s Must-Try Tools

Pika Twists

Edit videos like a pro—make your dog wear a hat or your boss disappear. (No judgment.) Try it

Runway Gen-4 Turbo

Generate 10-second videos in 30 seconds. Perfect for when you need content now and creativity is optional. Experiment here

Reality Check: Where pixels play pretend

Can You Spot Which Image Is AI-Generated?

This week, we’re putting AI’s artistic capabilities to the test with a deceptively simple prompt:
“A giraffe licking a dry tree, plain blue background sky, clean look, realistic.”

Below, we compare two images—one photographed by a wildlife specialist, and one generated entirely by AI. The differences? They’re subtler than you might think.

What to Look For:

AI: Sometimes generates overly uniform patterns or “uncanny” imperfections.

Texture & Lighting

Real: The giraffe’s tongue shows fine-grained moisture and subtle texture variations.

AI: Often over-smooths surfaces or misjudges how light interacts with organic materials.

Anatomical Accuracy

Real: The giraffe’s neck muscles flex naturally as it reaches for the tree.

AI: May distort proportions (e.g., an unnaturally curved tongue or misplaced spots).

Environmental Details

Real: The tree’s bark has irregular cracks and peeling layers.

Deep Dive: The State of AI Image Generation
While tools like MidJourney and DALL-E 3 excel at stylized art, photorealism remains a challenge. This giraffe test reveals three persistent AI weaknesses:

1. Physics: Simulating organic movement (like a licking motion) requires understanding of anatomy.
2. Micro-Textures: AI often fakes details like tree bark or fur up close.
3. Context: Real photographers consider ecosystem context (e.g., Why is this giraffe licking a dry tree?).

Pro Tip for Spotting AI: Zoom in on edges (e.g., where the giraffe’s tongue meets the tree). AI still struggles with clean transitions.

Find out at the end of this blog which one is the real giraffe.

AI Hall of Shame

“Plans to Become Deceased”
An AI-generated funeral plan included:

• Preferred decomposition method (“Natural burial (eco-friendly)”)
• Post-mortem playlist (“Another One Bites the Dust’ ironically”)
• Memorial hashtag suggestions (“#Ghosted”)

Why This Matters:
It highlights AI’s blind spot for gravitas—and why human oversight remains essential for sensitive domains.

Artificial Unintelligence

The $300 AI Rice Cooker

Peak “solution in search of a problem.”

This $300 gadget uses AI to… wash rice. Because pressing a button was clearly too complicated.

The Pitch: “The world’s first smart rice cooker with machine learning!”
The Reality: It… washes rice. Automatically.
The Irony: Requires a 15-step setup process that’s more complicated than just pressing a button.

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Parting Thought

As Netflix trains AI to read our moods and ChatGPT memorizes our quirks, we’re hurtling toward a world where technology knows us better than we know ourselves. The irony? These same systems still can’t explain why they occasionally suggest eating glue or—in this week’s standout fail—how to ‘become deceased.’ Meanwhile, someone, somewhere, decided rice cookers needed machine learning. 

The lesson? AI’s trajectory is equal parts awe-inspiring and bewildering—a reminder that even our smartest tools still reflect the humans building them: brilliant, flawed, and occasionally fixated on solving problems that don’t exist.

Found an AI tool that deserves the spotlight (or a roasting)? Drop us a line at
[email protected]

Reality Check answer: The first image was AI-generated. Did you spot the giveaway?

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