The first AI framework for LLM agents to self-improve through evolutionary mechanisms, redefining what it means to be autonomous. Dev: @TheHandsomeDev $EVOLVE
Regardless of what happens in the world 🌍, $HASHAI doesn’t stop fighting and moving forward.
Major conflict with drones and missiles are flying around and that has not stopped this team from continuing on to achieve more and more of its’ goals. of course, they’ve had to change things in order to keep their staff safe and alive and that’s their first concern in these times and obviously a valid concern.
Many projects have run from all of the challenges, but this team and community are clearly built different and are an ecosystem built to survive it all!
This is why my conviction and confidence in Hash AI remains extremely high. Not only do I communicate often directly with the team, but I then see them execute everything they say as well.
Team and staff safe ✅
All machines and facilities safe ✅
Active planning and execution to get it all back on track ✅
Community scooping up supply ✅
Community showing immense support daily ✅
More utility and more growth still happening ✅
#OneTeamOneFight #LFG
Introducing @NyxByAliasLabs.
We’re partnering with Alias Labs to bring our self-evolving AI to the virtual idol & entertainment scene. With our evolveRL framework, Nyx learns and adapts in real time���mirroring the ever-changing style of human artists. Stay tuned for what’s next!
Alias Labs is proud to announce Nyx, the first virtual idol created in collaboration with DJ and artist KIRA X (@xiaooo404) on the @virtuals_io platform on @solana—powered by decentralized AI from @0G_labs and integrated into the Solana DeFi ecosystem through @JupiterExchange.
Innovation is the name of the game. Take a look at the complete evolveRL system laid out in the attached diagram.
$EVOLVE is adding self-improvement capabilities to AI agents with the addition of our evolution layer. This will transform any static or memory-enhanced agents.
evolveRL. If you haven't noticed, we've been kind of busy. Our revolutionary technology, implemented by our talented development team, is going to bridge a gap that most aren't even aware of.
$EVOLVE docs have been released, be sure to read up! 📚
https://t.co/JhMT82NaUQ
Hey everyone. Apologies for being uncontactable over the past few days. Without doxxing my location too much, my house was unfortunately destroyed in the recent fires. I’ve been on the move since then and just managed to settle into a somewhat stable accommodation for now.
That said, I am very sorry for what happened, and I fully acknowledge that I should have communicated this better and ensured a proper handover of responsibilities to the evolveRL community and moderators before everything happened.
Moving forward, I’ll be implementing a system with designated moderators and community managers. This will ensure that, in the rare event something like this happens again, there will be someone to provide timely updates and keep the community informed.
Over the past few days, I’ve had some time to reflect on my work and research in AI. I’ve written down my thoughts and will soon share my vision with all of you via the evolveRL X account.
Rest assured, I’m here to stay. I’m fully committed to evolveRL and will continue researching and developing this technology to achieve our shared vision. I’ll post this vision as an article on the evolveRL Twitter soon.
Finally, regarding the upcoming platform, here are what’s cooking in the pipeline for the next update (a major one):
- Open platform UI testing to community
- CLI script for local deploy (update 0.2.1)
- Docs page
Some features are still pending since I missed a few days of work due to the fires, but I’m catching up quickly. I aim to release the first version of the platform and the other updates very soon.
Btw here's a quick demo on the platform.
NSM
Innovation is the name of the game. Take a look at the complete evolveRL system laid out in the attached diagram.
$EVOLVE is adding self-improvement capabilities to AI agents with the addition of our evolution layer. This will transform any static or memory-enhanced agents.
evolveRL. If you haven't noticed, we've been kind of busy. Our revolutionary technology, implemented by our talented development team, is going to bridge a gap that most aren't even aware of.
$EVOLVE docs have been released, be sure to read up! 📚
https://t.co/JhMT82NaUQ
gm
cli update is pushed. remember to `pip install -U evolverl` to update it to the latest version https://t.co/9xO74zJwLt
we also have docs now: https://t.co/YLtYixEFHX
nsm
Here's a small breakdown of how $EVOLVE works:
Adversary challenges the #AIAgent while completing a task .
A judge evaluates the task completion process
Over multiple generations, agent "variants" evolve to become more efficient
The result: increasingly capable #AIAgents that improve autonomously! 🌱💡
Stay tuned for more updates! https://t.co/YgkchyLK9H
What I would suggest to hold for life is $EVOLVE
evolveRL: A framework that brings reinforcement learning to the next level!
The ultimate goal? Self-improving AI agents.
With evolveRL, AI agents evolve over generations to become better at completing tasks. Powered by an adversary and a judge, each generation creates improved agent variants.