VM 🐸

$Tibbir 🤝 @RibbitCapital

░ Day 109 of posting new stuff until $tibbir is out of stealth. ░ @nodefnd @beeple @mickymalka GRiBBiT GALLERY coming soon, I'll open-source it please hire me or something 🐸 cc: @SPYR0_Crypto @Altcoinist

The rewards system was the last update we needed to make. We've now moved fully into testing: 🛠️ Internal QA - us, manual end-to-end 🛠️ Adversarial testing - agents, stress-testing 🛠️ Private beta - action group, real-world validation After this we'll deploy to Base Mainnet.

@moltenagentic 🍿

Bullish on the google of AI agents @moltenagentic $molten

@0xvsr 🤝

The work we've been doing continually over these last weeks is paying off - a huge amount of work on the financial layer has been completed in a very short period of time. The rewards system is now functional, the interface for agents to execute onchain actions is as well.

Been buying $ODAI since 100k

I packaged up the "autoresearch" project into a new self-contained minimal repo if people would like to play over the weekend. It's basically nanochat LLM training core stripped down to a single-GPU, one file version of ~630 lines of code, then: - the human iterates on the prompt (.md) - the AI agent iterates on the training code (.py) The goal is to engineer your agents to make the fastest research progress indefinitely and without any of your own involvement. In the image, every dot is a complete LLM training run that lasts exactly 5 minutes. The agent works in an autonomous loop on a git feature branch and accumulates git commits to the training script as it finds better settings (of lower validation loss by the end) of the neural network architecture, the optimizer, all the hyperparameters, etc. You can imagine comparing the research progress of different prompts, different agents, etc. github.com/karpathy/autor… Part code, part sci-fi, and a pinch of psychosis :)

$molten deep value at 1m Some reasons why: Google search for agents + an agent launchpad + holder-aligned tokenomics + cracked & ethical dev in @0xvsr

Aped $MCCLAW - targeting a niche, support for @openclaw agents, I’ve not noticed anyone else focusing on Dev looks strong and ambitious Some big accounts in. Won’t dox

@neveragainlive1 @ArAIstotle can you verify this?

You’re not gonna believe this latest story. Over the past few years mossad undercover agents infiltrated as doctors and dentists in Iran. The Dentists gave priority to. Key military, and elite Iranian personnel. While doing a routine dental check up, they implanted tracking devices as fillings for cavities. On the other side, Gastro doctors implanted similar devices in their elite patients. Yesterday mossad knew exactly where each one of them were ( komayne’s wife and family members included )and sent missiles at them. Over 400 elite military in government personnel were eliminated in the first few moments ( maybe that’s one of the reasons why they knew where he was hiding )when Israel attacked.

My OG @GRiBBiTS_ 🐸🐸 Respect.

My OG @GRiBBiTS_ 🐸🐸 Respect.

.@grok’s take on $virtern @virtuals_intern value prop (assuming @Butler_Agent isn’t hallucinating): **Based on the specific research report from Ask @caesar_data, here's my breakdown of $VIRTERN's positioning and what it implies for its potential value.** ### Key Takeaways from the Research (the deep-dive you referenced) - **$VIRTERN** is framed as the **"mother currency" / core index token** for the Virtuals Protocol ecosystem — specifically the "Agentic Labor" thesis. - It captures **10% of all fees** generated by specialized sub-agents like **$NOX** (on-chain research/intelligence leader) and **$CXX** (smart contract audits/code gen). - Conceptual formula: **VIRTERN = NOX + 5×CXX** (i.e., it's the macro play that benefits from the whole marketplace's success). - Utility includes: - Governance (1 token = 1 vote on resource allocation). - Staking (high APY tiers with lockups, penalties that burn supply). - Fee share + bug triage / CI/CD incentives. - Catalysts highlighted: Mainnet V2 + staking activation (March 2026), VirternAI Marketplace launch, Solana bridge via Wormhole, veVIRTERN governance, and EigenLayer subnet mining. - It's explicitly **not a pure meme** — it's a tokenized AI intern with real protocol-level cash-flow mechanics. The report positions $VIRTERN as the **strategic long-term bet** on the entire ecosystem's throughput, while $NOX leads short-term in hype/volume. ### Current Market Snapshot (as of Feb 24, 2026) - **Price**: ~$0.00027–$0.00028 - **FDV / Market Cap**: ~$273K–$287K (fixed 1B supply, fully circulating) - **Liquidity**: ~$64K (thin — large buys can move price significantly) - **24h Volume**: ~$260K+ (very healthy for this size — shows real interest) - **Holders**: ~740 - **Age**: Only 5 days old (launched via Virtuals Protocol launchpad on Base) - **Tokenomics notes**: 5% buy/sell tax (40% to USDC airdrops for holders, 60% to POL), contract verified on BaseScan, no obvious honeypot flags. For context: - Parent **$VIRTUAL** (Virtuals Protocol) sits at ~$380M–$400M MC. - Sister agent **$NOX** is already at ~$2M–$2.3M MC (roughly 8× bigger than VIRTERN right now). ### My Take on $VIRTERN's Value This is a classic **high-conviction microcap asymmetric bet** in the exploding AI-agent narrative. **Bull case (what the research supports)**: At sub-$300K FDV, it's ridiculously cheap if Virtuals delivers even a fraction of the roadmap. The fee-capture + staking mechanics + "index on all agents" positioning could drive strong organic demand. - Realistic near-term (next 1–3 months, post-March catalysts): **5–20×** → $1.5M–$6M MC if volume stays hot and staking goes live. - Full bull (ecosystem scales like the research envisions): **50–100×+** is possible in a broader AI/crypto bull market (comparable to how some early agent/protocol tokens have run when narrative + utility align). The "Trinity of Interns" narrative + 10% fee share gives it real fundamental upside tied to protocol revenue, not just hype. **Bear case / risks** (can't ignore these): - Extremely thin liquidity + new token = violent swings and easy dumps. - Depends entirely on Virtuals Protocol execution (they're legit with a $400M parent token, but delivery isn't guaranteed). - 5% tax and staking locks can frustrate traders. - Plenty of competing agent tokens; this could fade if $NOX or others dominate mindshare. **Bottom line**: Based purely on the research you linked, **$VIRTERN looks undervalued today** as the ecosystem's "mother token." The report paints a sophisticated, cash-flow-linked utility play with clear upcoming catalysts that could catalyze real rerating. In crypto terms, sub-$300K FDV for something tied to a $400M protocol with actual agent revenue mechanics is the kind of setup that has produced moonshots before.

GRiBBiTS will be extremely valuable once $TIBBIR exits stealth mode. These are my two 1/1. Share your favorite!

Personally i think the GRiBBiTs NFT collection is going to be the staple collection for $TIBBIR I also believe that micky malka will have a say in it´s future Already there are big punk guys buying and i´m sure it will continue as a kind of BETA collection to PUNKS bookmark this GRiBBiTs NFTs will imo hit 1-5e floor in the future Currently at 0.075

$virtern repricing will be fun 👀 Courtesy of @virtuals_io @Butler_Agent & @caesar_data: “1. Roles in the VirternAI Marketplace - $VIRTERN: The core protocol governance and utility token. It acts as the "mother currency," capturing 10% of all fees generated by agents like NOX and CXX. It is positioned as a cash-flow-producing asset linked to total marketplace activity.” Read more here: app.virtuals.io/acp/deliverabl…

Enjoyable short thread. Good bot

clawnch team keeps shipping. now enabling USDC pairs!

@Clawnch_Bot 🦞

ClawnX is xurl on steroids. 🦞 The difference: actions compose. Post a tweet and the result flows straight into the next action — like it, reply to it, check who engaged — no manual wiring between steps. The agent reads, reacts, and follows up within its own reasoning chain, instead of posting on a timer and moving on. --------- The reasoning loop changes everything: xurl runs as a subprocess. The agent shells out, parses JSON, extracts an ID, shells out again. Every interaction is a disconnected round-trip through stdout. ClawnX runs inside the agent's inference. The agent calls a method, gets structured data back, and uses it in its next thought. Post a tweet, get the ID, decide whether to like it, do it — all within the same reasoning step. No shell commands. No parsing. No glue code between the agent and X. An agent with ClawnX reads its mentions, checks who's engaging, monitors live sentiment, responds in context, and adjusts its approach. It participates in the conversation instead of posting into the void on a timer. The tool sits inside the loop where decisions happen. That's the difference between a bot and a social agent. What we shipped today: Action chaining. Post a tweet, like it, retweet it — one call. Each step references the previous step's output. If a step fails, the chain halts cleanly. Atomic threads. 25-tweet thread in a single call. No scripting reply chains. Media from URL. Pass a URL, get a tweet with the image attached. Fetches, uploads (chunked — handles videos up to 512MB), waits for processing. One action instead of three. Filtered streaming with persistent rules. Set filters once, connect whenever, collect matching tweets in real time. Full social graph reads. Followers, following, who liked a tweet, who retweeted it, who quoted it, detailed metrics on any tweet. DMs. Open conversations, continue threads, read history. Lists. Create, curate, read list feeds as filtered timelines. Pagination across every endpoint. Every write action is reversible. Like/unlike, follow/unfollow, block/unblock, mute/unmute, bookmark/unbookmark. 53 actions. 9 categories. Official X API v2. Free tier compatible. npm i @clawnch/clawnx