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- 🧠 Your Brain on ChatGPT Looks like...
🧠 Your Brain on ChatGPT Looks like...
Free 15 AI Prompts For Your God-Tier Writing
Wendy
June 17, 2025
Read time: 5 minutes
Ever feel a little foggy after using ChatGPT? Like your brain just... checked out? Well, we’re talking about something that looks helpful on the surface… but might be quietly messing with how your brain works.
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AI INSIGHTS
A groundbreaking MIT study just sprinkled some seriously concerning findings about what ChatGPT is doing to our brains (at least, when we write essays)… If you’ve ever felt a little foggy after using AI, this might explain why.
What happened: 54 people. 4 months of writing essays. One group used ChatGPT. One used Google like a ‘90s kid. One went full analog: brain only.
ChatGPT made them better at writing. But worse at thinking.
Their brain connectivity dropped, like, flatlined.
When they tried to write without AI later, they looked more like novices than people who’d been practicing for months.
83% of ChatGPT users couldn’t quote a line they just wrote. Compare that to 11% of the brain-only group. Basically: if you use AI to write, your brain goes, “Cool, I’ll clock out now.”
This was the creepiest part. People felt fine using ChatGPT. They didn’t notice the mental fog. The tradeoff only showed up on the EEGs, invisible until scientists literally measured their brains.
MIT calls it cognitive debt. It’s the Google Maps effect, the more you use it, the worse your natural sense of direction gets. You're essentially borrowing against future cognitive capacity for short-term convenience.
This isn’t an anti-AI rant. The study actually found a brain-friendly AI workflow: Think → Write → Use ChatGPT to polish and refine.
People who did it this way actually showed stronger brain connectivity than anyone else.
Why it matters: If you rely on AI from the start, you feel productive but your cognitive “core” gets mushy. So if you're still in your "AI can write it for me" era, maybe… don’t. Let your brain take the wheel sometimes. Or at least keep it in the car. Your hippocampus will thank you.
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TODAY IN AI
AI HIGHLIGHTS
🎧 Clever TikTok users are allegedly racking up millions of followers just by creating ASMR videos using Veo 3’s new native audio features. Veo 3 is actually a gold mine now. So… 👇
Should we create a playbook on how to make these viral AI videos/vlogs?Include step-by-step guide, a compelling storyline... for You |
🖼️ You can now create images with ChatGPT just by texting a 1-800 number on WhatsApp. Even users without accounts can generate one image daily. Did you try it?
😓 “Godfather of AI” said there’s a ’10% to 20% chance’ that AI will displace humans completely. Here's some fields face a heavier risk of replacement & should be 'terrified.'
🧠 LinkedIn cofounder Reid Hoffman shared his advice for how to prepare for the AI wave, definitely prompt hacks & just vibe-coding aren’t enough but actual judgment.
🎥 You thought Veo 3 was the hottest video model out there? Maybe, ByteDance’s Seedance 1.0 & a sneaky drop called Hailuo 02 just surpassed it on the leaderboard. See the charts here.
💰 AI Daily Fundraising: Nabla AI startup secured $70 million in Series C funding, bringing total funding to $120 million. Their tools, used by 85,000 clinicians, cut documentation time by over 50%.
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🐞 Buglet turns loads of your customer frustrations into actionable feedback.
AI QUICK HITS
🏫 Gemini 2.5 Flash & Pro are now generally available & production-ready.
🤖 Amazon pours $100 billion to automate with 1,000 AI projects. AI hiring freezes.
💬 ElevenLabs now supports MCP to connect voice agents without any setup.
🔐 63% of GPT user data contains PII, yet 22% are aware of opt-out options.
📱 Adobe debuts standalone app to generate AI videos, images for creators.
AI CHART
Chinese AI startup MiniMax just dropped a model called M1 that can handle 1M tokens in context, the biggest we’ve seen to date. And the whole thing was trained in just 3 weeks for $535,000.
It takes in up to 1 million tokens of input, giving itself an 80k token “thinking budget” to generate output.
→ So instead of short-term memory loss every few paragraphs (like many models), this thing can hold an entire project, book, or codebase in its head and still reason through it.
It performs well across the board, but really shines in areas like software engineering, agent tool use, and long-context reasoning.
To train M1 efficiently, MiniMax rolled out a new reinforcement learning method called CISPO → 2x faster training speed. No insane GPU farms, no mega-budget.
Everyone’s been whining that smarter AI = more GPUs = more $$$. MiniMax is proving that clever architecture and optimization can beat brute force.
This kind of long-context capability is what serious AI agents need - ones that don’t forget what you said five prompts ago, or ones that can scan hundreds of pages before answering.
It also opens the door to truly personalized memory systems, smarter assistants, and legal or medical AI that can work at human-scale data levels.
AI JOBS
Google: Field Solutions Architect, Generative AI, Google Cloud
Amazon Web Services (AWS): Sr Specialist Sales Rep, AI/ML
EY: AI & Data - Responsible AI (RAI) - Senior - US Consulting
Oracle: AI Cloud Architect
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