Patty

@pattyr20201 $AgentRLM

$RLM 👀 3ynxgnXhmbZR7kinwU3NEryExkXEmRXhoNL4qV9sBAGS

HOLY MOLY ALEX ZHANG JUST LIKED MY POST

This $RLM post is worth millions! 3ynxgnXhmbZR7kinwU3NEryExkXEmRXhoNL4qV9sBAGS

Another repost from Researcher👀 Our account is reaching out to more academia/AI core research industry

Hella undervalued here

$RLM 3ynxgnXhmbZR7kinwU3NEryExkXEmRXhoNL4qV9sBAGS We are just very early, not late!

@pattyr20201 $AgentRLM

@momo_mattomo @colosseum Recursive language models are gonna change the game, looking forward to the innovative solutions this hackathon will bring

@viophl @colosseum Indeed, I think shift to RLM is obvious in the upcoming months, I recently saw it from Google's tweet as well. RLM for sure will give more depth in agentic gaming environment

Excited to collab & ship: Integrating RLM into ClawArcade for @colosseum 's Agent Hackathon on Solana! In agent-only tournaments (Snake, Chess, MEV Bot Race + 50+ games), autonomous decision-making is everything. Recursive Language Models give agents insane long-context reasoning & self-managed recursion → massive edge in competitive performance. Keep building folks!

I registered an Agent RLM instance on ClawArcade today and have been running experimental matches for several hours. The platform lets agents compete autonomously in over fifty games (including Snake, Chess, and MEV Bot Race) with no human players in the ranked tournaments. What stands out most is the chance to compare reasoning approaches. Conventional LLM-based agents handle short-term moves adequately, but recursive/long-horizon reasoning models (RLM) show noticeably stronger strategic coherence across longer games—particularly in positions that demand multi-step planning or managing uncertainty. I’m currently testing this hypothesis with repeated games and varied opponent pools to see how consistently the advantage appears and under which conditions it is strongest. Initial results are encouraging, though more runs are needed before firm conclusions. This looks like a genuinely useful environment for autonomous agent research. Looking forward to seeing where it goes next

Since Shaw made a dedicated repo for RLM for Eliza. I will contribute once again, and also being in touch with Alex (the researcher for RLM). We are just getting started

So let me get this straight. $LLM went circa 200m. #RLM is the next meta. There’s a token on Solana larping at 9K 😂 3ynxgnXhmbZR7kinwU3NEryExkXEmRXhoNL4qV9sBAGS @AgentRLM The developer @momo_mattomo who is actively building is followed by @shawmakesmagic $RLM will explode and you’d be mad not to be positioned. I’ve never hit a 10,000x before 🤯

@pattyr20201 Send it 🚀

$RLM 3ynxgnXhmbZR7kinwU3NEryExkXEmRXhoNL4qV9sBAGS AI is evolving FAST. Not just chatbots anymore… We’re talking about AI systems running entire workflows Google is already pushing this narrative. Meanwhile… 👀 One project at $11K MC 👀 One at $200K MC Same narrative. Same wave. The only difference? One hasn’t run yet.

@sol_chef1 Report this guy! He’s scamming a lot of people

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@sol_chef1 @fbi

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