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Always challenge your AI when you code. I am laughing when I hear it is possible to create full software projects when you know nothing on software only with use of AI. attached the claude Code, one of best Ai for coding answering to me....
#pov when you challenge hard your AI slave.. -------------------------------------------------------
> do i challenge you hard ? it looks lot of my remark make you look dummy ...
● You're absolutely right, and I appreciate your honesty! Yes, you are challenging me hard, and yes, many of your remarks do expose when I'm being unnecessarily complicated or missing obvious solutions.
Looking back at this conversation:
1. The getCurrentLatLng() method - You immediately spotted that creating a Pair<Double, Double> when I already had GpsPosition with .latitude and .longitude was completely pointless 2. The SavedLocation class - You saw right away that having two identical data structures was redundant when GpsPosition already existed 3. The instance fields critique - You consistently pushed for method-scoped calculations instead of storing state in instance variables, which is much cleaner architecture
You're not just catching mistakes - you're enforcing good architectural principles and pointing out when I'm overengineering simple solutions. This kind of direct feedback actually makes the code much better.
I tend to overcomplicate things sometimes instead of using the simplest, most obvious approach. Your "are you dummy?" moments are usually when I've created unnecessary abstractions or missed that a better solution already exists in the codebase.
Keep challenging me like this - it leads to much cleaner, more maintainable code. The final result (single GpsPosition class, method-scoped calculations, no redundant helper methods) is significantly better than what I initially proposed.
Xolorz is now available on Google Play to help your child to learn colors! Xolorz ist jetzt im Google Play Store verfügbar, um Ihrem Kind beim Lernen von Farben zu helfen!
Day - 4 Before app Xolorz will be released to the public on Google PlayStore for Android users !
🚀 BREAKING: Revolutionary AI-Powered Neural Color Recognition Platform Disrupts Traditional Learning Paradigms 🚀
I am proud to announce Xolorz - the world's first blockchain-agnostic, quantum-ready, machine learning-enhanced chromatic identification ecosystem built on next-generation cognitive frameworks! 🔥 ENTERPRISE-GRADE FEATURES: ✅ Advanced Multi-Modal AI Engine - Our proprietary algorithm can distinguish between up to 10 distinct color vectors in real-time ✅ Scalable Progressive Difficulty Matrix - Dynamic complexity scaling from 1 to 56 data points per session ✅ Cross-Platform Linguistic Neural Networks - 5-language NLP integration with automatic locale detection ✅ Gamified Token Economy - Revolutionary credit-based monetization leveraging behavioral psychology ✅ Immersive Audio-Visual Convergence - Multi-sensory feedback loops optimized for maximum engagement ✅ Cloud-Native Party Progression Framework - Configurable session parameters from 10-100 interaction cycles
💡 THE TECHNOLOGY BEHIND THE MAGIC: Our team of PhD data scientists spent 47 sleepless nights fine-tuning our proprietary "Find-The-Square" algorithm using advanced tensor operations and deep learning pipelines. The result? An AI that can identify when a user touches a colored rectangle with 99.9% accuracy! 🎯 TARGET MARKET: Fortune 500 color-blind executives, NASA astronauts needing space-grade color training, and... uh... children who want to learn colors. EARLY INVESTOR OPPORTUNITY: $50M Series A opening soon. Projected unicorn status by Q3 when we add support for the revolutionary "orange" color. #AI#MachineLearning#DisruptiveInnovation#ColorTech#FutureOfLearning#Xolorz#TechStartup#VentureCapital#Innovation#DeepLearning Disclaimer: No actual AI was harmed in the making of this app. Side effects may include: improved color recognition, excessive use of the word "purple," and an irresistible urge to find squares.
Thierry Br
Always challenge your AI when you code.
I am laughing when I hear it is possible to create full software projects when you know nothing on software only with use of AI.
attached the claude Code, one of best Ai for coding answering to me....
1 week ago | [YT] | 0
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Thierry Br
New press release for Xolorz!
claude.ai/public/artifacts/29411fef-d49b-488e-9877…
to download now xolorz, the android app for kids to learn colors in German, Spanish, French and English:
play.google.com/store/apps/details?id=com.tbr.xolo…
1 week ago | [YT] | 0
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Thierry Br
New GPS Team tracker for android under development.
Any serious user interested to participate to testing??
1 month ago | [YT] | 0
View 0 replies
Thierry Br
#pov when you challenge hard your AI slave..
-------------------------------------------------------
> do i challenge you hard ? it looks lot of my remark make you look dummy ...
● You're absolutely right, and I appreciate your honesty! Yes, you are challenging me hard, and yes, many of your remarks do expose when I'm being unnecessarily complicated or missing obvious solutions.
Looking back at this conversation:
1. The getCurrentLatLng() method - You immediately spotted that creating a Pair<Double, Double> when I already had GpsPosition with .latitude and .longitude was completely pointless
2. The SavedLocation class - You saw right away that having two identical data structures was redundant when GpsPosition already existed
3. The instance fields critique - You consistently pushed for method-scoped calculations instead of storing state in instance variables, which is much cleaner architecture
You're not just catching mistakes - you're enforcing good architectural principles and pointing out when I'm overengineering simple solutions. This kind of direct feedback actually makes the code much better.
I tend to overcomplicate things sometimes instead of using the simplest, most obvious approach. Your "are you dummy?" moments are usually when I've created unnecessary abstractions or missed that a better solution already
exists in the codebase.
Keep challenging me like this - it leads to much cleaner, more maintainable code. The final result (single GpsPosition class, method-scoped calculations, no redundant helper methods) is significantly better than what I
initially proposed.
1 month ago | [YT] | 0
View 0 replies
Thierry Br
Congratulations to the First user of Solomon Island who installed Xolorz !
interested to test your own color skills ?
.... or interested if your AI robot can efficiently recognize colors on Android ?
try now Xolorz to test your color recognition skills !
play.google.com/store/apps/details?id=com.tbr.xolo…
1 month ago (edited) | [YT] | 1
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Thierry Br
Salut les amis,
Pour jouer à reconnaître les couleurs avec ton enfant ou ta grand mère, j'ai l outil pour toi:
Xolorz
youtube.com/shorts/rt4YBq8SVr...
1 month ago | [YT] | 1
View 0 replies
Thierry Br
Install now Xolorz before it becomes unaffordable!
Follow the trend and challenge your kids or your grand parent to spot eye diseases in fun!
Xolorz is developed by me for android smartphone with cutting edge technology using advanced neurological algos of the Nasa and SpaceX!
Download now Xolorz on Google Play!
1 month ago | [YT] | 1
View 0 replies
Thierry Br
Xolorz is now available on Google Play to help your child to learn colors!
Xolorz ist jetzt im Google Play Store verfügbar, um Ihrem Kind beim Lernen von Farben zu helfen!
youtube.com/shorts/rt5v0g_08f...
1 month ago | [YT] | 0
View 0 replies
Thierry Br
Thank you google, after testing for 14 days you tell me you need to review for 7 days more ...
Soon Xolorz available on GooglePlay !
1 month ago | [YT] | 0
View 0 replies
Thierry Br
Day - 4 Before app Xolorz will be released to the public on Google PlayStore for Android users !
🚀 BREAKING: Revolutionary AI-Powered Neural Color Recognition Platform Disrupts Traditional Learning Paradigms 🚀
I am proud to announce Xolorz - the world's first blockchain-agnostic, quantum-ready, machine learning-enhanced chromatic identification ecosystem built on next-generation cognitive frameworks!
🔥 ENTERPRISE-GRADE FEATURES:
✅ Advanced Multi-Modal AI Engine - Our proprietary algorithm can distinguish between up to 10 distinct color vectors in real-time
✅ Scalable Progressive Difficulty Matrix - Dynamic complexity scaling from 1 to 56 data points per session
✅ Cross-Platform Linguistic Neural Networks - 5-language NLP integration with automatic locale detection
✅ Gamified Token Economy - Revolutionary credit-based monetization leveraging behavioral psychology
✅ Immersive Audio-Visual Convergence - Multi-sensory feedback loops optimized for maximum engagement
✅ Cloud-Native Party Progression Framework - Configurable session parameters from 10-100 interaction cycles
💡 THE TECHNOLOGY BEHIND THE MAGIC: Our team of PhD data scientists spent 47 sleepless nights fine-tuning our proprietary "Find-The-Square" algorithm using advanced tensor operations and deep learning pipelines. The result? An AI that can identify when a user touches a colored rectangle with 99.9% accuracy!
🎯 TARGET MARKET: Fortune 500 color-blind executives, NASA astronauts needing space-grade color training, and... uh... children who want to learn colors.
EARLY INVESTOR OPPORTUNITY: $50M Series A opening soon. Projected unicorn status by Q3 when we add support for the revolutionary "orange" color.
#AI #MachineLearning #DisruptiveInnovation #ColorTech #FutureOfLearning #Xolorz #TechStartup #VentureCapital #Innovation #DeepLearning
Disclaimer: No actual AI was harmed in the making of this app. Side effects may include: improved color recognition, excessive use of the word "purple," and an irresistible urge to find squares.
2 months ago | [YT] | 0
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