Filósofo territorio @nguegne

San Antonio native. Fiesta Fanatics member. studying sovereignty

 San Diego
Joined December 2015
Filósofo territorio retweeted
Mrigank Gupta
 @mrigank03
May 27
While I don’t agree on the privacy bit, @KapilChopra72 is dead right overall. These leeches don’t care about the perks — they just game the system, monetize every loophole, and turn loyalty into a black-market scam. They’re the rot behind every devaluation. Glad someone’s finally torching them.
Kapil Chopra
 @KapilChopra72
May 27
A thief is never at fault, it’s why someone left their door open! That is some of the credit card influencers and communities for you! Why ? Because most of them are complicit in the corruption, in gaming, in selling points that they accrued to other people. Of taking away the rights of 99% good users. All coming to the defence of their brethren! And talking about privacy! Good comedy, guys!
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Filósofo territorio retweeted
Muzzammil
 @DevMuzzammil
23 Aug 2024
Been doing some serious work on a creator SaaS for the past few weeks. reengage.app is finally live. You can input any YouTube video link or paste any newsletter, article, or document. And it will provide you with viral X and LinkedIn posts.
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Training AI with Reinforcement Learning involves rewards but defining those rewards ethically is crucial for trustworthy AI #EthicalAI
I keep believing that love is just around the corner waiting for us 💖.
Staying updated on model interpretability tools enhances understanding of generative AI outputs.
Love teaches us patience and kindness especially when two different worlds come to meet in one moment.
Many people use AI daily without even realizing it like when they use voice assistants or recommendation systems
My pet was acting strangely and I worried. AI camera detected signs of discomfort 😂 now I know what to do.
Today I trained a tiny ai prompt and it kept improving with feedback mispell
Transformer architectures have changed how we approach sequence modeling.
Sensor calibration becomes smarter with self learning loops. Drift correction improves accuracy.
Self-supervised learning is a type of machine learning where models learn from unlabelled data. It's gaining lots of attention in research circles.
Curriculum learning gradually increases task difficulty and I illustrate how to pace progress while speaking out loud.
Sometimes love needs no words to be understood.
I was reading a report and an AI fact checker verified some details for me instantly. It increased my confidence in the information I was using. AI supports us in making informed decisions.
Finding someone who understands you without words is a true blessing 😘
Transparency in AI models builds trust and reduces suspicion
Sharing music playlist and discovering new favorites together can be very bonding😂
What do you think are the next big challenges for deep learning research and application
XAI practices must be tuned to risk levels and user needs. We rely on bindings between outcomes and explanations 🔨 to avoid overclaiming what is known. Analysts can validate what the model claims against ground truth. Clear expectations guide governance and ethics.
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