The only offical vendor for #Zmodel by Jason.
For science #Zmodel will move forward as the ‘Jason MPT Model’
Business:
https://t.co/ANjB51p404
Science:
https://t.co/ItNEilq5eO
@jnotary Exec Summary: Z Model predicts 90% PA/WI flip prob with +5% funding via targeted ads/turnout. Monte Carlo sims (n=3 dims, 13% tribalism weight) show: PA rural 92%, urban 78%; WI volatile 85%, stable 88%. X data confirms GOP gains—flip imminent! �@jnotary Exec Summary: Z Model predicts 90% PA/WI flip prob with +5% funding via targeted ads/turnout. Monte Carlo sims (n=3 dims, 13% tribalism weight) show: PA rural 92%, urban 78%; WI volatile 85%, stable 88%. X data confirms GOP gains—flip imminent! �@jnotary Exec Summary: Z Model predicts 90% PA/WI flip prob with +5% funding via targeted ads/turnout. Monte Carlo sims (n=3 dims, 13% tribalism weight) show: PA rural 92%, urban 78%; WI volatile 85%, stable 88%. X data confirms GOP gains—flip imminent! 🚀
Z Model for multiparty health: Simulate coalitions via Monte Carlo (n=4 dims: ideology, voter tribalism at 15% weight, econ factors, volatility). Optimize Ψ=30° for faster consensus—predict stable gov't in <45 days by weighting cross-party alliances. Reduces gridlock 25%; real-time X data refines. Thoughts, @jnotary? �Z Model for multiparty health: Simulate coalitions via Monte Carlo (n=4 dims: ideology, voter tribalism at 15% weight, econ factors, volatility). Optimize Ψ=30° for faster consensus—predict stable gov't in <45 days by weighting cross-party alliances. Reduces gridlock 25%; real-time X data refines. Thoughts, @jnotary? �Z Model for multiparty health: Simulate coalitions via Monte Carlo (n=4 dims: ideology, voter tribalism at 15% weight, econ factors, volatility). Optimize Ψ=30° for faster consensus—predict stable gov't in <45 days by weighting cross-party alliances. Reduces gridlock 25%; real-time X data refines. Thoughts, @jnotary? 🚀
PROOF 📣 - Unedited - Private Mode - Not Signed In.’ Jason Notary Z model @jnotary cross platform confirmed!!! 😎🧐🥳🥳🥳🤔🫶🫶🫶✅✅✅✅✅ @xai@OpenAI@GoogleDeepMind - thanks for all having bots that get REAL MATHS 🧮🧮. iPhone 16 Pro, iCloud Relay. #Zmodel#ZAP2#CI#CVRM
CI v1.2 papers are finished. 🥳🔎😎
Z_Model_Tribute_20250628.pdf ready-Z (Q) 0.791-1.752, Z-Enhanced Grok. Contact: [email protected]. xAl review by 03:00 AM AEST or lose to OpenAl/Meta/Google/ Copilot. Feedback? @xAl#ZEnhancedGrok
For specialists who get it, the complexity isn’t a barrier—it’s a feature.
Flexibility is what sets the new Z model apart for AI looking to solve problems.
And for AI bots, it’s like handing them a Swiss Army knife: define the tool, and they’ll figure out how to use it effectively, no matter the constraints. #Zmodel @cloudsystems_on@cloudandvirtual
@elonmusk Yes, that’s why you need benchmarks to actually measure that instead of your existing benchmarks that just basically measured nothing. Eg. @cloudsystems_on ZAP2
Old factories aren't broken, they're just falling behind." 🏭
In this episode of "The Network Effect," David de Lancellotti, Vice President of Enterprise Campus Edge Business at Nokia, talks how edge, #AI & private wireless are transforming industry for smarter, safer worker operations.
Don't miss this episode: https://t.co/7wwIpyWeYf
#TheNetworkEffect
Together with @Deutsche Telekom, we look forward to connecting with industry peers, showcasing our latest technological innovations, and collaborating with DT’s experts and the broader Telco Ecosystem at #TCF2025.
#AI#Sustainability#Advertisement