While digging into advanced AI frameworks, ROMA v0.2.0's recursive intelligence has stunned me–it decomposes tough problems into layered sub-tasks, enabling quicker, scalable fixes, enhanced AI agent teamwork, and paths to AGI adaptability that's revolutionizing my tests.
Excited to dive into ROMA v0.2.0 – it's a total rebuild on DSPy, unlocking smarter hierarchical agents with 9 killer toolkits for crypto,search,and beyond,plus one-click Docker deployment for production magic!
What game-changing project will you build on it? share your thoughts
@SentientAGI ROMA v0.2.0 uses recursive decomposition to split complex tasks into smaller, parallel subtasks for efficient multi-agent reasoning.
It mirrors human problem-solving, combining task-specific routing with GEPA for self-improvement.
⏳The "One Hour of Panic" Stablecoin Nightmare
I was trying to catch a time-sensitive market move a classic, high-stakes arbitrage trade. I sent a significant amount of USDT from my exchange wallet, expecting the near-instant finality I usually get on the Tron network (TRC-20)
@SentientAGI’s LiveCodeBenchPro is redefining how we measure coding intelligence—showing that small, efficient models can rival the giants. 🚀
It’s proof that smarter, lighter, open-source AI isn’t theory anymore—it’s happening now. #NeurIPS
Hey everyone, I’ve been diving into @SentientAGI’s new LiveCodeBenchPro, and it’s seriously impressive. It puts AI’s real coding skills to the test—and guess what? Even small models, trained on just 20% of the data, are keeping up with the big ones. sheer size. 🚀 #NeurIPSHey
Counting down the days till @sixr
drops—can't wait to smash virtual sixes with legends like Gayle and Afridi in this Web3 cricket revolution! Who's hyped to build their legacy on the pitch? #SIXRCricket #Web3
