Talk about people coming together and justice potentially being served for unethical folks who used a crypto token to benefit off retail investors belief in their words:
https://t.co/cqphtyVcVG
Where is the accountability against the @yesnoerror team? @MattPRD and @benparr lured in crypto retail investors to invest hundreds of thousands in their project / token for over a year and only disappeared when life got better for themselves after @Meta acquired @moltbook.
They disappeared leaving everyone who invested in their project to eat dirt (down 99% from ATH), including myself, and a few others who Matt even made a part of the @yesnoerror “team”.
The issue is founder accountability being non-existent and the fact that real doxxed devs made incredible promises to retail investors who invested hundreds of thousands in their token based on their backing, promises and what are now seemingly lies, just to disappear… A few images below of said promises for the token / project, and the community has a lot more of real proof just like this. $YNE
@BurwickLaw / @SECGov /@coffeebreak_YT would be helpful if you looked into this one. I will not stop posting until what is seemingly now the new @yesnoerror team under @OctaneAI clarifies what is going on and if Matt and Ben are still a part of the project or not.
How can you make promises to the $YNE community and then disappear since January without a single word to holders?
Silence like this speaks volumes.
Where are you, Matt? Where are you, Ben?
A holder suggested giving $YNE an avatar and building a culture around it.
Matt even engaged with the idea.
Shortly after, Moltbook launched, centered around a similar concept.
Coincidence? Or were ideas meant for YNE redirected elsewhere?
@Meta@moltbook
Generative View Stitching (GVS) is a game-changer for AI video generation. Instead of rolling forward frame by frame (and crashing into its own creations), GVS samples the entire video in parallel—so the model sees both past and future, and never collides with the scene.
The secret? No retraining needed. Any video diffusion model trained with Diffusion Forcing can use GVS out of the box. Their Omni Guidance trick dials in camera and scene consistency, while explicit loop closing means the camera can circle back—think panoramic sweeps or even impossible structures—without visual seams.
On tough benchmarks, GVS delivers: frame-to-frame consistency (0.138 vs 0.169/0.183), long-range coherence (0.141 vs 0.339/0.164), zero scene collisions, and sharper visuals (IQ 0.537 vs 0.458/0.515). It produces stable, 120+ frame sequences that obey complex camera paths—no model retraining required.
The upshot: long, controllable, collision-free videos from any existing DF model. For film, VR, robotics, and games, this unlocks a new tier of rapid, high-fidelity generation.
Get the full analysis here: https://t.co/bo6KXIwhTp
// alpha identified
// $yne
Ten computer science researchers from @Princeton, the #1 ranked university in the nation, published a new AI paper in the last 24 hours.
Yet - You have never heard of this paper. Why? At the time of this post it has never been shared on @X.
How did we find it? The @yesnoerror ALPHA AI agent discovered it and it received a high alpha rating.
Every day hundreds of new AI research papers are published on @arxiv, an impossible amount of research to comb through.
@yesnoerror reads every single paper.
And not only do we track which papers are being talked about the most, but more importantly we have our own proprietary AI that gives each paper an alpha score so we can discover papers nobody is talking about that have high alpha.
To access this daily alpha feed you need 100,000 $YNE on @base in your wallet and you can access the feed at any time from the @yesnoerror website.
Paper title: InFlux: A Benchmark for Self-Calibration of Dynamic Intrinsics of Video Cameras
Arxiv id: 2510.23589
Get the full AI analysis of the paper here: https://t.co/DPhldBIQgb
10m$ per month revenue - undervalued.
So we approved that @TrustWallet can take revenue >100m$ per year.
Neobank meta.
Super App is building now!
For example @vladtenev@RobinhoodApp Q1 2025 on crypto sector received - 252m$ revenue.
Incredible things to HODL $TWT
Listen to @benparr discuss the black spatula case study, which exemplifies how AI can flag simple multiplication errors in scientific papers.
This demonstrates how AI can act as a second pair of eyes on research.
Imagine the impact when this is scaled across all of science.
🔥 This trader opened one of the largest short positions on @HyperliquidX (excluding VC hedges) right before the recent market correction, earning over $3M in unrealized profits in just two days.
0x69e45d4b853d2864450e0c25d12b43f2ad845272
• Previously, he held the largest long on $HYPE and has an all-time PnL of $4.5M, placing him among the top 20 traders on the leaderboard last week.💪
Final Quest reopens!
not for all — only for the chosen ones.
and just for a short window 🦖
🟢 passed review → back to the classic Final Quest (3/3 Main Steps). did it earlier? just chill.
🟡 see “Oops, not now!” → your DPS carries into the new FOMO later, but only if your play was fair (≠ bots). tap “Save My Spot” and wait — no extra steps needed