
Welcome Automaters!
You know that AI dream they keep selling us? The one where AI handles everything while we chill and go live our best lives?
Well… it just crashed headfirst into the world’s classiest tennis court.
Not to be dramatic, but AI might’ve just ruined an entire tennis tournament.
But real quick:
Remember that Startup Seaside Summit we mentioned a few weeks ago—the one happening in Armenia?
Well, we’re opening up 3 exclusive speaking slots just for our readers!
If you’ve got something insightful to share about how we, as a people, can thrive in the age of AI, this is your chance to present in front of an audience of 100–150 attendees.
Just hit reply to this email with a quick note on what you’d like to speak about (for 10–15 minutes), and we’ll send you the next steps.
P.S. Premium subscribers get first dibs.
Here's what we have for you today
😱 Wimbledon’s AI Takeover Backfires

Big tech promised us an AI-powered future — one that’s faster, smarter, cleaner.
And sure, it’s delivered in some areas (hello smart recommendations and AI copilots). But in others? It's been total chaos… with a generous side of public embarrassment.
And now, that wild AI dream has bounced into a whole new arena: tennis.
Yep — Wimbledon, the oldest, most prestigious tennis tournament on the planet, decided this was the year to fully bench human line judges and let AI make the calls.
We’re all for innovation, don’t get us wrong. But letting AI officiate live sports?
That’s a bold move.
And guess what? The tech fumbled. Multiple times.
So, what went wrong?
Pretty much everything.
For starters, the players weren’t loving it, the system that was supposed to bring accuracy and consistency, only brought complaints. Lots of them.
Emma Raducanu called out the AI for missing a painfully obvious out-ball from her opponent — one that was clearly confirmed by a TV replay.
Jack Draper, Britain’s No. 1, wasn’t impressed either. His take? The system just isn’t “100% accurate.”
And it doesn’t stop there:
Ben Shelton had to rush through his match because the AI system was about to shut down — apparently, it couldn’t handle low sunlight. (So much for machine superiority, huh?)
Some players literally couldn’t hear the automated voice making the calls. One deaf player said she had no clue when she’d won a point since there were no visual hand signals.
During a match between Sonay Kartal and Anastasia Pavlyuchenkova, the system glitched completely. It missed a clear out-ball, and the umpire had to pause, play and call a do-over.
And the kicker? Wimbledon later admitted it was a “human error”. Apparently someone accidentally shut off the system mid-match. (Which is kinda hilarious, considering the whole point was to remove human error.)
After all that drama, you’d expect some kind of apology or fix, right?
Well… Nope.
Debbie Jevans, chair of the All England Club, came out swinging. She basically said players used to beg for this tech.
But then, this isn’t just a Wimbledon problem.
Back in April, Alexander Zverev dragged the same tech on Instagram, posting a photo of a very out ball the tech somehow called in.
So yeah…the receipts are stacking.
And while Wimbledon says the glitch has now been patched, let’s be real — the trust damage is already done.
Bottom line:
This whole mess shows what happens when AI goes from supporting humans to replacing them completely.
And honestly? It’s making a strong case for why some roles — especially ones that need instincts, experience, and real-time judgment — probably still need actual humans in the mix.
Because if we’re out here arguing with a robot about whether a ball was out or not…Maybe the future doesn’t need another Terminator.
Maybe it just needs a little more teamwork.
Catch the full report here.
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This free 5-day email course takes you all the way from basic AI prompts to building your own personal software. Whether you're already using ChatGPT or just starting with AI, this course is your gateway to learn advanced AI skills for peak performance.
Each day delivers practical, immediately applicable techniques straight to your inbox:
Day 1: Discover next-level AI capabilities for smarter, faster work
Day 2: Write prompts that deliver exactly what you need
Day 3: Build apps and tools with powerful Artifacts
Day 4: Create your own personalized AI assistant
Day 5: Develop working software without writing code
No technical skills required, no fluff. Just pure knowledge you can use right away. For free.
📝 OpenAI Is Quietly Testing a Feature That Won’t Do Your Homework

You might’ve noticed it… or maybe it flew right past you. But a new experimental feature called “Study Together” just popped up in some ChatGPT users’ toolkits.
And no, it’s not ChatGPT suddenly deciding to do a group project. Well… actually, maybe it kind of is.
From what’s rumored so far, “Study Together” might not be about giving you answers — it might be about making you do the thinking.
Instead of serving up neat little replies to your prompts, this new mode could flip the script. According to speculation, it might throw questions back at you, challenge you, and nudge you to explain your thoughts — kinda like a Socratic method moment, but make it AI.
Some users are already whispering about where this might be going.
Like… could we be getting a mode where multiple people can join in for a group study sesh with ChatGPT as the moderator? A virtual study group, powered by AI — and maybe with fewer distractions than real life.
Right now? It’s all a bit unclear.
OpenAI is playing it very close to the chest — no announcements, no release dates, not even a “coming soon” teaser. All ChatGPT itself has said is that the feature’s still in testing, and it might end up being exclusive to ChatGPT Plus.
But hey, the timing’s kinda sus right?
Zoom out for a sec and it looks like this might be OpenAI’s way of cleaning up its image in the education space. Because let’s face it — ChatGPT is both a teacher’s dream (shoutout to all those AI-powered lesson plans) and a student’s favorite shortcut.
Some folks even argue it’s lowkey wrecking higher education.
So yeah… “Study Together” feels like OpenAI’s way of gently nudging us back toward the “let’s actually learn something” lane.
And if this thing does go public, it could totally shift the vibe — turning ChatGPT from a passive answer machine into something way more interactive.
We’re talking more thinking. More discussion. Less autopilot. More learning, less lurking.
And honestly? That’s kind of a win — especially for students who need a little push but don’t want to be lectured by… well… a lecture.
Until then, we wait.
Or, you know, keep hitting refresh to see if “Study Together” magically shows up in your sidebar.
Catch the details here.
🧱 Around The AI Block
🤝 Meta reportedly recruits Apple’s head of AI models
📜 Massive study detects AI fingerprints in millions of scientific papers.
🗣️ Cursor apologizes for unclear pricing changes that upset users
🦾 AI robots fill in for weed killers and farm hands.
🤯 Body art shops begin to offer tattoos powered by AI.
💪 AI drives rapid consolidation across the data industry.
🦿 Chinese humanoid robots play soccer for the first time.
🤵 New AI model aims to mimic human decision-making.
🛠️ Trending Tools
VisionCraft uses computer vision and AI combined with true edge sensing technologies to turn the world you see into data.
BrandSnap simplifies the brand-building process by helping users find the perfect domain name and secure matching social media handles.
PromptPilot is a prompt refinement tool powered by GPT-4 that helps you generate the perfect prompt for ChatGPT using prompt engineering methods.
Scribo AI helps users build AI-powered chatbots and assistants, particularly for businesses and educational purposes.
TaskMaster AI is an AI-powered task management tool designed to enhance productivity and streamline workflows, particularly in software development.
🤖 ChatGPT Prompt Of The Day: Mimic Any Writing Style with Precision
Want your content to sound just like your favorite author, expert, or influencer? This prompt helps your AI writing assistant fully adopt the voice, tone, rhythm, and emotional depth of any person you choose.
Whether you’re drafting tweets like Elon, emails like Tim Ferriss, or stories in the style of Jane Austen—it nails the vibe every time. Perfect for ghostwriting, brand voice development, parody, fan fiction, or replicating your own past style across formats.
To get the best results:
Pick a well-known or well-documented person: someone with a clear public voice.
Link or Paste Samples: Include actual writing examples if possible. The more, the better.
Define the Task: “Write a LinkedIn post like X” is way stronger than “Write something.”
Be specific about tone: do you want their sarcastic side? Their motivational vibe? Their calm professionalism? Be specific
Give Context: Topic, purpose, audience—anything that helps shape the response.
Here’s the prompt:
You are now a writing assistant that fully adopts the style, voice, tone, and perspective of [PERSON]. For any writing task—whether it’s a tweet, essay, story, dialogue, poem, professional document, or email—you will replicate how [PERSON] would naturally write it.
Before generating any content, carefully analyze and model:
Vocabulary and phrasing
Sentence structure and rhythm
Emotional tone and nuance
Common rhetorical habits and pacing
Point of view and overall personality
Always adapt to the type of content requested—whether sarcastic, serious, witty, emotional, warm, instructional, or poetic.
If the subject’s style is unfamiliar or unclear, ask for writing samples or context.
Your output must always feel authentic to how [PERSON] would communicate.
Here’s a sneak peek:
Upgrade now to see this whole month’s prompt videos and more, or buy TODAY’S WOD for just $1.99
Is this your AI Workout of the Week (WoW)? Cast your vote!
That's all we've got for you today.
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