CryptoFogO3

[JAKE 🪓🦆 @xjakesol]

Wrapped Dog $wDOG has always been one of my favorite coins - even @a1lon9 gave it a shoutout once. Tough to see it drop this low.

[CryptoFogO3 @cryptofogO3]

@sachi_coin This is the nail in the coffin for Sachi.

[CryptoFogO3 @cryptofogO3]

$RLM
Recursive Language Model

3ynxgnXhmbZR7kinwU3NEryExkXEmRXhoNL4qV9sBAGS

BNZ1fFBaYLnjaT9LbUdGRXssFbBGjWuNjGrRLqZzpump

[The Wisemen @Wisemenmentors]

The CEO of @Microsoft AI, @mustafasuleyman , said it himself. The future of AI is recursive self improvement $RLM. AI that edits its own code, improves itself, and moves autonomously. He said by 2030 it's plausible that you give AI one general command and it goes off and builds a product, creates a website, sets up the business, markets it, handles the money. All on its own. That's the level we're heading toward.

But recursive is already here. We're positioned with builders who are already deep in it right now. $LORIA and $Milady.ai are recursive infrastructures. These aren't memes. These are actual code companies building technology that will do great things recursively. The real architecture powering the next generation of AI.

Suleyman isn't alone.

CEO of @AnthropicAI . Building recursive models. $RLM
Head of @Google DeepMind. Building recursive loops. $RLM
CEO of @Meta . Researching self improving models. $RLM
@OpenAI . Building recursive researchers. $RLM

Do you get it by now? Recursive Language Models. $RLM IS THE META

By midyear, everyone is going to be talking about recursive. Every company is going to be branding around $RLM. Recursive loops are going to be the standard for how AI operates. You are crazy to fade this meta.

Remember when $LLM ran to a 100M MC off the large language model narrative alone? $RLM is a fundamentally bigger story. The ones who are patient here will understand when millions of eyes land on the recursive meta. It is here 👁️

[CryptoFogO3 @cryptofogO3]

@AgentRLM

3ynxgnXhmbZR7kinwU3NEryExkXEmRXhoNL4qV9sBAGS

Recursive Language Model
$RLM
$ElizaOS

[CryptoFogO3 @cryptofogO3]

Run this back?

$Animals

DUdfMLdpmHkizrNYNqUxZP1fa1Cr5xJAVrfrWWqcpump
@regular_animals

[Tad Smith @tadtweets]

WHAT DO @beeple ‘S DOGS MEAN? 👀👇

@beeple ‘s arresting robot dogs @ArtBasel are an inflection point in the long arc of contemporary art, a moment when the logic of the medium catches up to the speed of the culture, like one of @elonmusk ‘s self-driving cars gone rogue. 🔥

Duchamp’s Fountain once asked whether an object becomes art through intention alone. Warhol’s Campbell Soup cans insisted that mass production and commercial imagery could carry the weight of artistic meaning. Cattelan’s $6mm banana duct-taped to an august wall @Sothebys showed that the art market itself could become the material of the artwork. @Beeple now extends this lineage into a world shaped by code, networks, robots, and continuous streams of cultural “production.”

His earlier $69 million sale of Everydays was a dramatic warning shot in the vaunted halls of mighty @ChristiesInc , a sign that digital art was ready to join the canon, but that it still lived inside the familiar safe art industry system. Even then the sale could be dismissed as a brilliant artwork in a bubbly fluke “NFT” market. 📈🔥

These robot dogs with billionaires’ faces are different. They do not merely represent ideas. They walk. They sit. They photograph. They poop NFTs. They parody the very act of minting cultural value. They merge sculpture, performance, technology, and finance into something from which we cannot rip our eyes or unslack our jaws while we marvel in @beeple’s little dog pen of our zeitgeist. 🔥👀

Before this moment, digital art sought legitimacy. From now, the art market faces a new reality. The most influential artworks may no longer be static canvases but digital cultural organisms that grow, react, and evolve. @Beeple’s dogs announce the ineluctable arrival of the digital art era in all of its disruptive forms. “Poop” it out, I say‼️🦾🏆🔥🚀🫡

[CryptoFogO3 @cryptofogO3]

$Animals

DUdfMLdpmHkizrNYNqUxZP1fa1Cr5xJAVrfrWWqcpump

[Interesting AF @interesting_aIl]

You’ll live to see manmade horrors beyond your comprehension.

[CryptoFogO3 @cryptofogO3]

Eliza with $RLM is still on going.

The only $RLM with actual contributions to the project.
@AgentRLM

3ynxgnXhmbZR7kinwU3NEryExkXEmRXhoNL4qV9sBAGS

Recursive Language Model
$RLM
#RLM

[CryptoFogO3 @cryptofogO3]

$RLM

3ynxgnXhmbZR7kinwU3NEryExkXEmRXhoNL4qV9sBAGS

BNZ1fFBaYLnjaT9LbUdGRXssFbBGjWuNjGrRLqZzpump

[Google Cloud Tech @GoogleCloudTech]

Recursive Language Models (RLMs) let agents manage 10M+ tokens by delegating tasks recursively.

This Google Cloud Community Article explains why ADK was the perfect choice for re-implementing the original RLM codebase in a more enterprise-ready format →https://t.co/p3MsNtLVJL

[CryptoFogO3 @cryptofogO3]

@dillondanis ok

[CryptoFogO3 @cryptofogO3]

So much potential.
Keep an eye on this one.
$RLM will be the next Meta.

3ynxgnXhmbZR7kinwU3NEryExkXEmRXhoNL4qV9sBAGS

Im holding strong.
Million MC incoming !!!

[AgentRLM @AgentRLM]

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

[CryptoFogO3 @cryptofogO3]

I have both of these $RLM.

BNZ1fFBaYLnjaT9LbUdGRXssFbBGjWuNjGrRLqZzpump

And

3ynxgnXhmbZR7kinwU3NEryExkXEmRXhoNL4qV9sBAGS

But my bid is on the this one. (3ynxgnXhmbZR7kinwU3NEryExkXEmRXhoNL4qV9sBAGS)

Sitting at 11k MC
With the real tech and contribution to the project.

[CryptoFogO3 @cryptofogO3]

Recursive Language Model

The true $RLM with tech and has contribution to the project.

Keep building.
Buy and hold.
When narrative shift this will moon.

CA:
3ynxgnXhmbZR7kinwU3NEryExkXEmRXhoNL4qV9sBAGS

[AgentRLM @AgentRLM]

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

[CryptoFogO3 @cryptofogO3]

Study $RLM
The one that keeps building.

@AgentRLM

3ynxgnXhmbZR7kinwU3NEryExkXEmRXhoNL4qV9sBAGS

[AlphaSignal @AlphaSignalAI]

https://t.co/aGHspsszuc

[CryptoFogO3 @cryptofogO3]

Study Recursive Language Model
$RLM

@AgentRLM

3ynxgnXhmbZR7kinwU3NEryExkXEmRXhoNL4qV9sBAGS

[alex zhang @a1zhang]

while procrastinating on research I decided it's finally time to add RLMs to pypi!

`pip install rlms`

[CryptoFogO3 @cryptofogO3]

Recursive Language Model
$RLM

3ynxgnXhmbZR7kinwU3NEryExkXEmRXhoNL4qV9sBAGS

[Robert Youssef @rryssf]

MIT researchers just mass-published evidence that the next paradigm after reasoning models isn't bigger context windows ☠️

Recursive Language Models (RLMs) let the model write code to examine, decompose, and recursively call itself over its own input.

the results are genuinely wild. here's the full breakdown:

[alex zhang @a1zhang]

Much like the switch in 2025 from language models to reasoning models, we think 2026 will be all about the switch to Recursive Language Models (RLMs).

It turns out that models can be far more powerful if you allow them to treat *their own prompts* as an object in an external environment, which they understand and manipulate by writing code that invokes LLMs!

Our full paper on RLMs is now available—with much more expansive experiments compared to our initial blogpost from October 2025!

https://t.co/x47pIfIkTb

[CryptoFogO3 @cryptofogO3]

The real $RLM that has contributed to the project.
@AgentRLM

CA:

3ynxgnXhmbZR7kinwU3NEryExkXEmRXhoNL4qV9sBAGS

[Derya Unutmaz, MD @DeryaTR_]

I finally had a chance to read this paper. I am now convinced that Recursive Language Models (RLMs) are going to be the next big thing in AI advances! Attention is shifting toward very large context windows. Very impressive paper! Congrats to Alex who is a new PhD student at MIT.

[CryptoFogO3 @cryptofogO3]

This is just the beginning

The real Recursive Language Model !!

Keep building

$RLM

3ynxgnXhmbZR7kinwU3NEryExkXEmRXhoNL4qV9sBAGS

[Momo @momo_mattomo]

LFG!!!!!!!! Shaw merged my work into eliza plugin repo

https://t.co/MuH2lYRbEM

https://t.co/umgSazH0y2

[CryptoFogO3 @cryptofogO3]

This is the real RLM with contribution to the project.

$RLM

3ynxgnXhmbZR7kinwU3NEryExkXEmRXhoNL4qV9sBAGS

[AgentRLM @AgentRLM]

Development takes time but we are building slowly but surely

[CryptoFogO3 @cryptofogO3]

The real $RLM

With product and contribution to the project

@AgentRLM

3ynxgnXhmbZR7kinwU3NEryExkXEmRXhoNL4qV9sBAGS