made this one with a lot of love 💜 means even more seeing @moonpay share it tysm 🥰💜

How do you let an AI agent pay without handing it your keys? @PayBox by @moonpay: • the agent only gets a signature • your key is split with MPC • one switch revokes every agent Your agent can pay Your keys stay yours

I gave @NousResearch a debugging challenge It passed every test. But the code was still wrong After I challenged the fix, Hermes identified a flawed test, corrected its approach, and turned the lesson into a reusable skill Then I tested that skill on new tasks Did it improve performance? Not proven Did it save and reuse what it learned? Yes Built a little experiment to see Hermes' Learning Loop in action

my mouth is free i just have nothing left to say @IThinkItsArt

have you tried sending crypto through an X handle yet? 👀 i wanna send $10 to one of you! if your X is connected to @PayBox, drop a comment below and i'll pick one winner 🤍

I was murdered at the Ecosystem Call Halloween Party. Who did it?! My prime suspects are @eveynft and @five69. Find out who murdered you on murderboard.fun!

I was murdered at the @EcosystemCall Halloween Party. Who did it?! My prime suspects are @nikkideyy and @kimiloo. Find out who murdered you on murderboard.fun!

YES or NO Bitcoin, NFL, elections All from one chat Trade everything with @world_xyz on @PayBox 💜

I moved 5 USDT from Solana to Ethereum without leaving my chat. No new app. No bridge site. No wallet switching. Just one line to @PayBox , and both wallets updated in seconds Crypto is finally starting to feel like texting a friend. Exploring the pluggins next

they fooled me so gently i thought silence was my idea @IThinkItsArt

I voted for world in the Campaign of the Year Award at @SolanaConf. 🏆 solana.com/breakpoint/awards… @blknoiz06 💜 @world_xyz 💜 @EveyNFT 💜 @FabianoSolana 💜

my second video in my native language @WalletConnect Q3 2026 recap: $100B in network volume 700+ wallets and 80,000+ apps integrated 95M+ WCT staked

5 trending GitHub repos worth checking out this week All gained thousands of stars this week. Here's why they're useful: 1. Orca — Manage multiple AI coding agents like Claude Code and Codex in one workspace. Great for building features in parallel. ⭐ +9.6K this week | 106K total github.com/stablyai/orca 2. Graphify — Turns codebases into searchable knowledge graphs, helping AI agents understand project structure and dependencies. ⭐ +6.9K | 136K total github.com/Graphify-Labs/gra… 3. OpenCode — An open-source coding agent that helps you write, debug, and modify code directly from your terminal. ⭐ +5.9K | 222K total github.com/anomalyco/opencod… 4. HyperFrames — Create videos and motion graphics using HTML and CSS. Useful for AI-generated product demos and automated content. ⭐ +5.6K | 72.4K total github.com/heygen-com/hyperf… 5. ComfyUI — Build node-based AI workflows for image and video generation, with customizable pipelines and local model support. ⭐ +4.8K | 143K total github.com/Comfy-Org/ComfyUI Which one would you try first?

i made a tutorial on how you can place predictions with claude and paybox from start to finish it covers how to enable the world plugin in paybox and check your balance before exploring sports crypto and politics markets i also show you how to bridge funds to solana and place a 5-minute prediction on whether bitcoin will go up or down every action requires your passkey approval so you stay in control of each transaction watch the full tutorial and try it out at paybox.sh what would you bet on first?

Asked Grok to send $25 USDC @PayBox handled it and I ripped a Rookie pack on @BlockRips Pulled a $17 Fennekin Paid 25 got 17 crying but thumbs up 😭👍

the sun is waking up and it already knows its yours you ready? ITIA genesis 👁️ V I B E : @IThinkItsArt Ai : @wavespeed_ai

Orderable is the part that changes the economics of ground-level spatial data. Most spatial datasets are produced first and sold later. A mapping fleet drives a route, a satellite passes overhead, or contributors upload whatever they happen to film. The buyer then searches for something close enough to the place they actually need. If the aisle has changed, the temporary barrier is gone, or the specific interior was never covered, the closest available file is still the wrong geometry. @vangrid_io reverses the order. The bounty exists before anyone walks the site. A requester or an agent posts the title, the brief, the amount in USDC, and the deadline on data.vangrid.io. A contributor nearby films the orbit. The content hash, coarse location, and timestamp are recorded at the moment of capture and the root is anchored on Base. The buyer receives the reconstructed 3D model, not the raw video, and can check the model against the public root rather than against a claim that the file represents the right place at the right hour. That sequence is what makes the physical world orderable rather than merely collectible. There is no inventory of every possible unstable point waiting on a server. Each order creates the capture. The proof of capture is written before the model is delivered. An agent can post the bounty with one HTTP call through x402, pay on Base or Arc, and pull the finished mesh through the same API. The human still has to go to the place. The decision to capture that place, the payment, and the verification of the take no longer require a human to open a dashboard and manage the request by hand. The difference from a pre-built coverage layer is structural. Coverage layers are efficient for the places that do not change and that are visible from the road or from above. They are inefficient for the places that do change and that sit inside buildings, yards, or loading areas. An orderable system spends the capture effort only on the geometry someone is willing to pay for right now, and it attaches a checkable origin to the result. If you needed current geometry of one specific site that is not already in a public dataset, would you search for the closest existing file or post a bounty and receive a model whose capture hash is rooted onchain?