I'm convinced I've been studying wrong my entire life. 🤯
A free Chrome extension just showed me how to turn ANY YouTube video into a personal AI tutor. It generates instant summaries of hour-long lectures and lets you ask complex questions without ever hitting pause.
It’s the ‘unfair advantage’ students are using to cut study time by 60% and improve retention. It's time to finally study smarter, not harder.
Transform your learning and try it free: https://t.co/BH5QnRbj27
YouTube has more free education than every university on earth.
But nobody finishes a playlist. Ever.
I had 43 tabs open. Bookmarked playlists from months ago. A Watch Later list I'll never watch later. Tons of great videos. Zero progress.
Then it hit me. Playlists aren't courses. That's the whole problem.
No order. No notes. No way to know if anything actually stuck.
So we built the fix. And wrote about it here:
https://t.co/l1O7Rja0lR
(Type a topic. Get a real course from YouTube. Notes, quizzes, structure. Free.)
What would you turn into a course first?
Highlighting your textbook does literally nothing for your memory.
I know that sounds extreme. But researchers tested it — highlighters performed no better than people who just read the page.
Some actually did worse.
Stop watching YouTube tutorials. You're literally wasting your time. 🛑
The science is brutal:
• Passive watching = 50% weaker memory
• That "I understand" feeling = illusion of competence
Your brain tricks you into thinking you've learned when you haven't.
The 2006 study that should've changed education:
📊 The Setup:
Group 1: Re-read material 4 times
Group 2: Read once + 3 practice tests (no looking)
📈 The Result:
Group 2 remembered 50% MORE one week later.
Why? Active retrieval (pulling info from memory) creates lasting learning. Passive exposure doesn't.
What actually works:
1. Pause every 5 mins
2. Close the video
3. Recall out loud what you just learned
4. Struggle with it (the effort IS the learning)
The struggle = the learning.
LearnLens Studio automates this—pauses at the right moments, forces retrieval, tracks what sticks.
Full breakdown:
https://t.co/Qzikex2wbw
@nearcyan Very cool !!
I’ve been hacking on my own version of this idea and ended up with a slightly different vibe. Sharing a quick demo video below 👇. Please DM me if anyone wants access.
We’ve all fallen for the "Tutorial Trap": watching for hours, feeling productive, but retaining absolute zero.
I started tackling this with the LearnLens extension. It helped patch the problem inside YouTube.
But I realized a patch wasn't enough. To fix online learning, we had to rebuild the architecture.
Enter LearnLens Studio.
It’s not just a tool; it’s the successor that applies actual Learning Science to the chaos of YouTube.
Type a topic. We don't just give you a playlist; we build you a Curriculum:
1. Diagnose & Skip: Why sit through "intro to python" if you’re already a dev? We test you first.
2. "Moneyball" Curation: AI finds the clearest explainers, ignoring the viral clickbait.
3. Surgical Editing: We strip the intros, sponsors, and fluff. Pure signal.
4. Forced Recall: Passive watching is forbidden. In-stream quizzes ensure you actually learned it.
We turned 40 hours of aimless browsing into 4 hours of mastery.
Experience the difference: https://t.co/M7owyIn2XW
Watch the Demo: https://t.co/QalT2OSqaH
Generate a course and drop the link below—I want to see what you're learning 👇
#AI #EdTech #Learning #Productivity #BuildInPublic
AI in 2023: “haha it can write poems.”
AI in 2025: GPT-5.2 builds spreadsheets & decks, ships real code, aces competition-level math, and runs long-horizon agents over your tools & data.
We skipped a few side quests.
What part of your job still feels “safe” from AI? 🤔
Genuinely curious:
In your company, who is more advanced in day-to-day AI use –
- senior leadership
- mid-level ICs
- interns / fresh grads
- or students you work with?
Reply with what you’re seeing 👇
Teens are further into AI than most offices.
Not vibes – the numbers:
– 64% of US teens use AI chatbots; ~30% use them daily.
– 75% of students use AI for homework; 24% use it daily.
– But only 14% of workers use genAI every day at work.
We’re onboarding a generation that’s already “AI-native.” 🧵
If you lead a team, this has 2 implications:
1️⃣ Your interns may have more hands-on LLM experience than your managers.
2️⃣ Your AI rollout can’t just be “top-down training.” You need to tap into the students & early-career people who are already experimenting.
They’re quietly your best internal AI lab.
@ManusAI@NanoBanana Seeing NanoBanana Pro and Manus bring ideas to life like this is fantastic. From video to comics, or complex data to infographics – this truly unlocks new levels of visual creation for everyone!
@GeminiApp Love seeing the range of templates, from Crochet to Cyberpunk! Making video creation this accessible is a huge win for creators. Excited to see what people build with this experiment.
7/ Blunt prediction:
In 12–24 months, the highest-leverage devs won’t be the ones who type fastest.
They’ll be the ones who know how to:
– structure Slack convos so agents can act
– design prompt templates for bugs/incidents
– review AI PRs faster than others can write them.
Agree / disagree? Tell me why 👇
1/ Hot take:
AI "inside Slack" is a bigger shift for dev teams than AI "inside the IDE".
Anthropic just launched Claude Code for Slack — an agent that reads your threads, touches your repos, and posts PRs back into chat.
This changes how engineering orgs actually work.
6/ But there’s a sharp edge:
– Security: agent sees code + Slack history.
– Misuse: sloppy prompts → overconfident fixes.
– Governance: which repos, which channels, what logs?
This is real DevSecOps, not just “install a bot and pray”.