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- 🏫AI Tutors Have Arrived - Find out the Results
🏫AI Tutors Have Arrived - Find out the Results
+ 🌐 Browser Use bags $17M to supercharge AI web browsing
Welcome, Master! 🚀
Happy AI Monday
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ON YOUR ‘MASTER LIST’ TODAY
💬 AI Inspiration
🧠 Browser Use raises $17M to help AI agents surf the web smarter
🎓 Texas school ditches homework—AI tutors push scores to top 2%
🖼️ Can you tell which AI art is real? Most people got it wrong
⚡ MIT + NVIDIA drop HART, a lightning-fast AI image generator
📊 Last Poll Result
MONDAY AI QUOTE
“Energy flows where focus goes”

BROWSER USE
Browser Use raises $17M to help AI agents browse websites

Browser Use, a Y Combinator Winter 2025 startup, raised $17M led by Felicis Ventures.
The tool turns websites into simple text formats so AI agents can understand and use them better.
Over 20 startups already use it to build smarter, faster AI tools.
AI EDUCATION
Texas school uses AI tutor, scores jump to top 2% in U.S.
Alpha School in Austin, Texas, has replaced traditional classroom models with AI-powered tutoring.
Students spend just two hours a day on core academics using personalized AI tools, freeing up time for hands-on skills like public speaking and financial literacy.

Key Highlights:
AI tutor customizes lessons for each student
Students have no homework and less stress
Test scores now rank in the top 2% nationwide
Rest of the day focuses on real-world skills and projects
School is expanding across the U.S. due to high demand

AI ART - CAN YOU TELL?
![]() A | ![]() B |

Most Got This One 80% 👏👏
MIT + NVIDIA
MIT and NVIDIA develop HART: a faster, smarter AI image generator
MIT and NVIDIA researchers created HART (Hybrid Autoregressive Transformer), a new AI tool that generates high-quality images up to 9x faster than current models.
HART combines fast autoregressive models with accurate diffusion models to deliver detailed images using less power and can even run on laptops or smartphones.

Key Highlights:
Merges two AI methods: autoregressive (speed) + diffusion (detail)
Produces images 9x faster than standard diffusion models
Uses 31% less computation than state-of-the-art methods
Can run on personal devices, not just large servers
Supports future use in robotics, video games, and unified vision-language models
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LAST POLL RESULT
![]() | Is AI Advancing Too Fast? 🤖⚡ No! Most Say Faster AI means a better future. |
THAT’S A WRAP
That's a wrap!
Have a great day and week ahead!
Back again on Wednesday for more AI exclusives.

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