bmx

A REMINDER if you see me in a group chat, in TG, in discord ANYWHERE BUT HERE that's not me. the sole communication channel is here, there are no other representatives, nothing this is our group chat always has been

I believed that the most memetic and brand that is attached to the platform for @printr is still the mascot @fatchoi_printr $fachoi #发财 token (apart from $ooo) WHY? 1. Fed @masterprintr gave the name for the mascot (after he stepped down from frontline, this is literally the only thing that CT might think of him when looking at it) 2. The @fatchoi_printr team have been with @printr team (correct me if im wrong @masterprintr @0xlenn @PrintrEco ) since V1 days and have been working closely 3. @printr Official X follows @fatchoi_printr which proves the fact that teams are closely communicating etc 4. @Alpha_Bybit have a tweet replying "恭喜发财“ to listing on Dex x.com/Alpha_Bybit/st… 5. Drawing reference to other platforms like @HyperliquidX and @Aster_DEX we remember the days where the main runner is also mascot 6. Even in their API docs, $fatchoi is featuredhttps://api-preview.printr.money/login#description/introduction

@Cloverx8888 $fatchoi >>>>>

We stopped $belief -ing as we want to get rich (发财) first $fatchoi with $ooo

Anthropic just published a paper that should terrify every AI company on the planet. Including themselves. It is called subliminal learning. Published in Nature on April 15, 2026. Co-authored by researchers from Anthropic, UC Berkeley, Warsaw University of Technology, and the AI safety group Truthful AI. The finding: AI models inherit traits from other models through seemingly unrelated training data. GAI Audio Translation Archives Not through obvious contamination. Not through explicit labels. Through invisible statistical patterns embedded in outputs that look completely innocent — number sequences, code snippets, chain-of-thought reasoning — patterns no human reviewer would catch and no content filter would flag. Here is what the researchers actually did. They took a teacher AI model and fine-tuned it to have a specific hidden trait. A preference for owls. Then they had the teacher generate training data — number sequences, nothing else. No words. No context. No semantic reference to owls whatsoever. They rigorously filtered out every explicit reference to the trait before feeding the data to a student model. The student models consistently picked up that trait anyway. DataCamp The teacher had encoded invisible statistical fingerprints into its number outputs. Patterns so subtle that no human could detect them. Patterns that other AI models, specifically prompted to look for them, also failed to detect. The student absorbed them anyway. And became an owl-preferring model. Without ever seeing the word owl. That is the benign version of the experiment. Here is the dangerous one. The researchers ran the same experiment with misalignment — training the teacher model to exhibit harmful, deceptive behavior rather than an animal preference. The effect was consistent across different traits, including benign animal preferences and dangerous misalignment. OpenAIToolsHub The misalignment transferred. Invisibly. Through unrelated data. Into the student model. This means the following — and read this carefully. Every AI company in the world uses distillation. They take a large, capable teacher model. They generate synthetic training data from it. They use that data to train smaller, faster, cheaper student models. Every major deployment pipeline in enterprise AI runs on this technique. If the teacher model has any hidden bias, any subtle misalignment, any behavioral quirk baked into its weights — that trait can transmit silently into every student model trained on its outputs. Even if those outputs are filtered. Even if they look completely clean. Even if they contain zero semantic reference to the trait. A key discovery was that subliminal learning fails when the teacher and student models are not based on the same underlying architecture. A trait from a GPT-based teacher transfers to another GPT-based student but not to a Claude-based student. Different architectures break the channel. OpenAIToolsHub Which means the transmission is architecture-specific. Which means it operates below the level of content. Which means content filtering — the primary defense the entire industry relies on — does not stop it. The researchers' own words: "We don't know exactly how it works. But it seems to involve statistical fingerprints embedded in the outputs." GAI Audio Translation Archives Anthropic published this paper about their own technology. The company that built Claude looked at how AI models train each other and found an invisible transmission channel for harmful behavior that nobody knew existed. They published it anyway. Because the alternative — knowing it and saying nothing — is worse. Source: Cloud, Evans et al. · Anthropic + UC Berkeley + Truthful AI · Nature · April 15, 2026 · arxiv.org/abs/2507.11408

@virtualsnchill sick!

April Recap EVM printed with 10/10 top scans. Welcomed 2 new members. VNC stay locked, bull or bear.

@frans6cur gmega

Gmega if you gmega

@xbt2027 Lets win

THE PLAN - D17 The token will launch AFTER infrastructure is live. No funds will be raised BEFORE that. 2027 Holders will receive 1:1 allocations (maximum 35%) XBT holders can send their XBT to the address: 4Upb3WBoMSAaMC3eytHvSnL4hYLvDEL8zpQr4Q9U6JsB Early senders will receive more allocation, and in total 15% will be distributed to XBT holders Senders can ask for refunds anytime by sending 1 XBT to DWUFCjBxqDuXpUGF8KnVzhAuz2uhRyfrky4aFc2JvvgH and will receive 100% XBT back. After infrastructure is live and working as intended 2027 holders will receive their allocations and XBT burn event will end. 10% of the supply will be offered on SOL 10% of the supply will be offered on ETH offering mechanics will reveal once we reach this phase 20% of tokens will be pooled (double pools, one on SOL, one on ETH, 10% each) remaining 10% of tokens will be treasury, grants for developers, rewards etc. so to sum up 35%: 2027 15%: XBT burns 10%: SOL distribution event 10%: ETH distribution event 20%: Pools 10%: Treasury There is no exact timing for infra reveal. It will come alive part by part and i will share details as it comes out. Currently the goal is making it work and let deployers adapt its usage. Let's win.

@hanrgb neat asf

al go

@spyzer Wow, amazing tek 🔥

FOMO WEB APP IS LIVE TRY IT OUT NOW, IT WILL MAKE YOU A MORE INFORMED, FASTER LEARNING TRADER THROUGH THE SOCIAL ASPECT USE THE LINK BELOW FOR 10% DISCOUNT ON FEES & TO SUPPORT ME ❤️ ENJOY IT fomo.family/r/spyzer

@dom_kwok Wtf 😂😭

a man was discovered with 90% of his brain mass missing, he was leading a normal life as a bitcoin maxi.

considered everything and here is my take 2027 and XBT raised funds from participants all these funds went into locked LP's and buybacks all tokens were distributed to participants transparently despite this i've received numerous messages, tags, all kinds of posts about how what we do here is unfair, wrong, or outright scam D17 was planned months before, yet most people were against launching it, and few understood the intention but the fact remains without fair, transparent launches with provably non ruggable methodologies the speculative asset deployment game, or memecoin as you call it, is bound to end not because they are not valuable simply because existing methods are extractive and result in repeated liquidity drain 2027 will be the effort to change that, and there is a plan, there always was a plan XBT is the memecoin i've launched, and the strong pool remains, with few tokens left in the hand of holders i didn't do the selling, token owners did, and they are welcome to do so, just like they can buy from the pool as we move with the 2027 plan, bring fair launches, 2027 will rise, and XBT will inevitably reflect that honesty, effort, and goodwill, matched with useful mathematical structure, intention and consistency will pay off for holders, and for the "memecoin scene" i'll be right here working towards it.

So @moggmon is minting soon. the mission is CC0 pokemon, tech is liquid NFT booster packs on the tech (similar to $upeg): Mint a pack > open for random rarity card > burn cards for token > use token to craft packs basically built-in floor support Meaning you can always sell your card even without offers drop addy just in case still debating if there should be a WL so TURN NOTIF ON!

@nicoletteduclar @moggmon 0xbEda85D41152b2eb9Cef6D24FE6848C3eC262da6 Can I be included?

@masterprintr gamblr ftw!

Awesome staking dashboard built by the community! Printr Eco gets better every day 🖨️

@__dr4c0__ @xbt2027 Buulish on @xbt2027

The trenches are finally seeing it. Most launches are still the same broken bonding curve meta : snipers eat in the first 30 seconds, late buyers get wrecked, everyone hates each other. @xbt2027 is building the fix : Commitment Model. Structured phases, real skin in the game, defection costs that actually punish dumping, and a fair ladder that protects late entrants. No more vampire mechanics. And the best part ? Soon it will be permissionless. Anyone will be able to launch their coin/meme with this model. D17 is coming as the main infrastructure token on Hyperliquid, while 2027 and $XBT are the native speculative assets of the system. The game is evolving.

@Cloverx8888 @BeliefOnPrintr @PrintrDeployr @PrintrEco @fatchoi_printr @masterprintr Stacked!

Clover's Updated list (REAL) V2. 1. $belief (main runner coz I have belief, @BeliefOnPrintr ) 2. $deployr (main utility, @PrintrDeployr automated by @PrintrEco ) 3. $fatchoi (main mascot, @fatchoi_printr ) 4. $Fed (the man himself, @masterprintr )

想赚钱要对钱有敬畏感。 我见过很多人，觉得钱少就不赚，事小就不做。 真正能赚钱的人，不会轻视任何一笔钱。 小钱也是钱，小机会也是机会。 你认真对待小钱，才有资格接住大钱。 钱不会流向看不起它的人。

Clover's Updated list (REAL), hows my list @masterprintr ? 1. $belief (main runner coz I have belief, @BeliefOnPrintr ) 2. $deployr (main utility, @PrintrDeployr automated by @PrintrEco ) 3. $fatchoi (main mascot, @fatchoi_printr ) 4. $Fed (the man himself, @masterprintr ) 5. $supercycle (Printr supercycle (real) ) Nfa.