Yo! CT..
This is going to be one of the most insightful sessions worth joining today.
With KGeN 2.0 approaching, hearing directly from @manishdiesel and @auz2or about the ecosystem’s growth, future roadmap, and upcoming opportunities is something the community shouldn't miss.
These discussions often provide valuable alpha on what's being built behind the scenes and where the broader vision is headed.
Whether you're interested in AI, Proof of Human, digital identity, or the future of decentralized ecosystems, this conversation promises meaningful insights.
📅 24th June
⏰ 11:00 AM UTC / 8:00 PM KST
Make sure to tune in and be part of the conversation.
Yo! CT..
This is going to be one of the most insightful sessions worth joining today.
With KGeN 2.0 approaching, hearing directly from @manishdiesel and @auz2or about the ecosystem’s growth, future roadmap, and upcoming opportunities is something the community shouldn't miss.
These discussions often provide valuable alpha on what's being built behind the scenes and where the broader vision is headed.
Whether you're interested in AI, Proof of Human, digital identity, or the future of decentralized ecosystems, this conversation promises meaningful insights.
📅 24th June
⏰ 11:00 AM UTC / 8:00 PM KST
Make sure to tune in and be part of the conversation.
Good morning Creators.
Innovation moves faster when communities learn, build, and share together.
Every contribution, conversation, and experiment creates momentum that pushes technology forward and turns bold ideas into real world impact.
https://t.co/phzrmjjZlp
At the June 18 AMA hosted by @MariaV54 on @Gate, @ishank20, Co-Founder of @KGeN_IO, shared the inspiration behind the VeriFi Human Network.
He explained that KGeN was founded on the principle of Proof of Human a system designed to establish trust, authenticity, and accountability in the digital economy through verified human participation.
What started as a vision has grown into a global network with 61+ million registered users across more than 60 countries.
Ishank also highlighted how KGeN leverages biometric verification to confirm real human identities, helping distinguish genuine users from bots and automated accounts.
As AI continues to reshape the internet, KGeN is building the infrastructure that ensures verified human intelligence remains at the center of the digital ecosystem.
🎥 Watch the full discussion: https://t.co/fb0CmR1B1R
FROM CREATOR'S CAMPAIGN APPLICANT TO ACTIONIST
I discovered @ActionModelAI through the Action Model Creators Campaign on X. As a content writer and AI enthusiast, I was immediately interested in the project and decided to apply after learning more about its vision.
During the onboarding process, I registered, joined the Discord server, and quickly became part of a welcoming and supportive community. With the help of community members, I gained a deeper understanding of the ecosystem and its goals.
What interests me the most is ActionFi. Being the first platform of its kind, it offers a unique way to train AI through real actions across different domains.
I've been actively participating in domain training, and the experience has been smooth, engaging, and rewarding.
My favorite feature is ActionFi because I enjoy learning and contributing by taking real actions. Going forward, I would love to see more updates to prompts across domains, especially as some domains evolve and certain filters are modified or removed.
At the June 18 AMA hosted by @MariaV54 on @Gate, @ishank20, Co-Founder of @KGeN_IO, shared the inspiration behind the VeriFi Human Network.
He explained that KGeN was founded on the principle of Proof of Human a system designed to establish trust, authenticity, and accountability in the digital economy through verified human participation.
What started as a vision has grown into a global network with 61+ million registered users across more than 60 countries.
Ishank also highlighted how KGeN leverages biometric verification to confirm real human identities, helping distinguish genuine users from bots and automated accounts.
As AI continues to reshape the internet, KGeN is building the infrastructure that ensures verified human intelligence remains at the center of the digital ecosystem.
🎥 Watch the full discussion: https://t.co/fb0CmR1B1R
At the June 18 AMA hosted by @MariaV54 on @Gate, @ishank20, Co-Founder of @KGeN_IO, shared the inspiration behind the VeriFi Human Network.
He explained that KGeN was founded on the principle of Proof of Human a system designed to establish trust, authenticity, and accountability in the digital economy through verified human participation.
What started as a vision has grown into a global network with 61+ million registered users across more than 60 countries.
Ishank also highlighted how KGeN leverages biometric verification to confirm real human identities, helping distinguish genuine users from bots and automated accounts.
As AI continues to reshape the internet, KGeN is building the infrastructure that ensures verified human intelligence remains at the center of the digital ecosystem.
🎥 Watch the full discussion: https://t.co/fb0CmR1B1R
gAction CT..
Yesterday evening, I focused on the Ably domain in the ActionFi training and successfully completed 13 out of 15 tasks.
The experience was both engaging and rewarding, especially training alongside @mattdaripp through the Action Model Discord server, we collaborated, shared insights, and helped each other navigate challenging tasks.
@ActionModelAI (or Large Action Model - LAM) is an AI system that goes beyond text generation to understand intentions and execute real-world actions, workflows, clicks, or tasks in digital/physical environments.
It powers AI agents for automation, robotics, and planning by learning effects of actions.
Today, I plan to continue my training by taking on tasks related to OpenAI.
Stay tuned for more updates as I progress through the training.
Excellent breakdown. One point that stands out is that the challenge isn't just data variance, it's human variance.
People interact with technology differently depending on culture, language, environment, devices, habits, and lived experiences.
This is why models trained on homogeneous datasets can achieve impressive benchmark results yet struggle when deployed in the real world.
They often learn patterns tied to specific conditions rather than the underlying principles needed for true generalization.
Representation therefore becomes just as important as scale.
A million similar data points may add volume, but diverse, high-entropy datasets add understanding.
They push models to learn what remains consistent across different contexts instead of relying on shortcuts.
This is where @humynlabs' approach becomes increasingly valuable by collecting human centered data across underrepresented regions and populations, they're helping build AI systems that better reflect the complexity and diversity of real human behavior.