Don't hold back
JaZen Jiu Jitsu
"As iron sharpens iron, so one person sharpens another." Here to sharpen our skills through Jiu-Jitsu Fast forward from Jr.
“Tap early, Tap often”, it’s a saying that Professor Jason Schilbach’s students hear often. Very few people can say that their career started when they were only six years old. Jason recalls, “I remember growing up in Germany watching TV. The first time I saw two guys wrestling I immediately started wrestling and pinning my childhood friends, I was only six years old “. It was only after Jason and
Due to the inclement weather this morning, there will be no Jiu Jitsu class.
Stay safe, everyone! 🌧️🌧️🌧️
25/08/2026
What's happening here?
Why Traditional Curriculum Cannot Keep Up With AI
Artificial Intelligence is evolving faster than most educational systems were designed to adapt.
That is not criticism.
It is simply the reality of the speed difference between:
• institutional systems
and
• exponential technological change
Traditional curriculum models were built for a slower world.
A world where:
• industries evolved gradually
• knowledge remained stable for years
• textbooks stayed relevant longer
• and professional skills changed slowly over time
But AI changes monthly.
Sometimes weekly.
Sometimes daily.
New:
• models
• tools
• APIs
• workflows
• frameworks
• automation systems
• and operational methods
appear constantly.
Meanwhile, institutional curriculum often requires:
• committee review
• approvals
• budgeting
• accreditation
• administration
• faculty alignment
• procurement
• and long implementation cycles
By the time many programs are approved:
• the industry has already shifted
• tools have evolved
• workflows have changed
• and students are learning yesterday's systems for tomorrow's jobs
This creates a growing gap between:
• academic pacing
and
• real-world technological velocity
The issue is not intelligence.
Many educators are highly capable and deeply committed.
The issue is structural speed.
Modern technology industries reward:
• experimentation
• rapid iteration
• continuous learning
• self-education
• operational exposure
• and hands-on problem solving
Because the AI economy increasingly values:
• adaptability over memorization
• systems thinking over static process
• ex*****on over theory alone
• and learning velocity over institutional pacing
This is why many of the most competitive people in AI today are learning outside traditional curriculum structures:
• through experimentation
• open-source communities
• online ecosystems
• real-world projects
• startup environments
• and continuous self-directed learning
At Expert AI & Optimization Lab (EOL), we see this directly.
Some of the fastest-growing talent comes from people who:
• constantly explore tools
• test systems independently
• build projects obsessively
• and learn because they are driven by curiosity, not only curriculum requirements
Because in the AI era, learning itself is becoming continuous.
There is no final version of knowledge anymore.
The future workforce will need to evolve alongside technology in real time.
That does not make education irrelevant.
It makes adaptability essential.
The challenge for modern institutions is no longer simply teaching information.
It is building systems capable of evolving as fast as the world itself.
Because in the AI economy, the half-life of knowledge is shrinking rapidly.
And the people who adapt fastest will shape the future.
— Wesley Kronick
Expert AI & Optimization Lab (EOL)
https://eol.ph
23/08/2026
Great fight but not exactly the results we wanted.
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