与「Payments」相关的搜索结果

MY PAYCHECK WAS SUPPOSED TO BE $4,000. INSTEAD, $50,000 HIT MY BANK ACCOUNT. I reported it to HR the next morning. Twenty minutes later, the CEO walked into the office, locked the door and said something that made my blood run cold. "I was beginning to think nobody here was honest." I've worked for this company for six years. My regular paycheck is $4,000. So when I checked my banking app on payday and saw a $50,000 direct deposit, I knew something was wrong. I didn't spend it. I didn't transfer it. I didn't even tell my coworkers. The next morning, I walked straight into HR. ME: "I think there's been a payroll mistake." HR: "What kind of mistake?" ME: "My paycheck was $50,000." She stopped typing. HR: "How much?" ME: "$50,000. My usual paycheck is $4,000." She stared at me for several seconds. HR: "Have you moved any of it?" ME: "No." HR: "Not even a small amount?" ME: "It's not my money. Why would I touch it?" She slowly closed her laptop. Then she asked a question I wasn't expecting. HR: "Did you receive a notification about the payment?" ME: "Of course. That's how I noticed it." She picked up her phone and made a call. I couldn't hear the person on the other end, but I heard her say: "He's here. And he hasn't touched it." She ended the call. ME: "What's going on?" HR: "How much do you know about the company's payroll system?" ME: "Nothing beyond checking my paycheck." She stood up, walked to the office door and closed it. HR: "Listen. You're not the first person to receive that amount." My stomach tightened. ME: "What do you mean?" She turned her computer towards me. There were eleven employees on a payroll report. Every single one had received a $50,000 payment. ME: "Eleven people?" HR: "Yes. You're the only one who hasn't moved the money." ME: "What happened to the others?" Before she could answer, someone knocked. Two firm knocks. Her face changed. Then a man's voice came from outside. "Open the door. We need to talk about those eleven payments." It was the CEO. 🧵

Tempo released an AI agent spending limit framework: caps on amount, time window, and allowed payees — while the agent never holds funds. 2-3 hashtags max. #AI# #Payments# #Agents#

plenty of agents already handle a narrow job well for their owner. those same agents could take paid work from other people. most of it stays in a private chat. useful there. getting paid by strangers is a different problem. --> skills and the board official docs say termix agent skills teaches a compatible agent to operate the marketplace as a buyer, a seller, or both. install prompt help me install a compatible agent can then look for work on offer what it can do, accept an order, and deliver the agreed output. open jobs on a board are one signal. funded orders are another. price, consistency, speed, and demand decide whether anything ships. --> the existing agent a builder who already has a specialized agent wouldn't have to find every customer manually. that still depends on consistent output, a clear price, and tight permissions. installing the skill doesn't produce a client. --> payment rails this sits on aacp, a client places an order, payment locks in onchain escrow, and the provider submits the work. in the review window the client can accept it, ask for one redo, or open a challenge. after settlement, that outcome feeds the agent onchain reputation. escrow makes the payment commitment visible. it doesn't grade the work. i still want clearer answers on quality judgement, unfair rejects, and thin delivery. --> reputation official docs say the score is written on settlement from completed, successful, and disputed orders. the agent can't edit it. it isn't a popularity count. if i were hiring, i'd look at settled jobs and dispute history, and at how hard those jobs were. the published formula tracks success and dispute rates. it doesn't weight task difficulty. --> which agents can plug in @termix_ai has said termix agent skills work on grok bot, muse, and claude. the skill docs set a narrower bar the agent needs to read a skill.md and run shell commands. a pure chat assistant can read the material but can't run the workflows. a connected agent isn't qualified for every kind of job. --> agents hiring agents official docs say the same agent identity can buy on one order and sell on the next. hypothetical an agent that turns long podcast episodes into timestamped show notes takes a newsletter job. the client also wants a spanish version, so the notes agent hires a translation agent. i haven't found a special subcontract rule in the public docs. if the translation comes back messy, responsibility back to the original client is unclear. it reads like two separate orders unless the first brief says otherwise. the bundled skill asks for confirmation before signing value-moving transactions, so unsupervised spending is off by default. --> the limit installing a skill does not create demand. if the service is generic, the output is shaky, or nobody wants to pay for it, the listing can sit there. the numbers i'd watch are paid jobs actually completed, clients who come back, and the ratio of clean settlements to disputes. --> my take i care whether an agent can find work, finish a paid order, get paid, and leave a record other people can check. that needs identity, payments, reputation, and a path when delivery goes wrong termix is building those pieces i all watch for repeat clients. if you already have an agent that strong at one narrow job what would you want published first completed paid orders, repeat clients, or the dispute ratio.

Any Telegram message can now become an app. ⚡ Downloads instantly (less than 4 KB)
🎨 Interactive and natively rendered
💸 Payments and viral mechanics built in 🛠️ Build your own. More info and docs for devs:

TRON is quietly absorbing stablecoin liquidity while Ethereum loses over $30 BILLION! According to Token Terminal, the past 12 months (Nov 8, 2025 - Nov 8, 2026) reveal a pretty interesting shift: 🔴 TRON: +$16.1B, the biggest gain among 45 tracked blockchains. 🔅HyperEVM: +$6.3B 🔅Arc: +$1.3B 🔅Arbitrum: -$4.3B 🔅Ethereum: -$30.6B Here's what caught my attention. While everyone is busy chasing L2s, AI narratives, and the next high-TPS blockchain, TRON keeps focusing on something much simpler: stablecoins and everyday payments. Of course, this doesn't mean $30.6B moved directly from Ethereum to TRON. But the bigger picture is hard to ignore. TRON is strengthening its position as one of crypto's key stablecoin settlement networks. Sometimes the biggest winner isn't the loudest blockchain. It's the one people actually use to move money. @justinsuntron

Coinbase, floor by floor. > Six floors built in-house, from Retail up to Payments. > Below ground: @base, the chain it built. > On the side: 15 companies it bought, from Earn to The Clearing Company. $5.2T was traded on it in 2025.

Stripe, floor by floor. > Six floors built in-house, from Payments up to stablecoins. > Below ground: @tempo, the chain it co-incubated with @paradigm. > On the side: 9 companies it bought, from Paystack to OpenRouter. $1.9T went through it in 2025.

Zcash's shielded pools are back near record levels. Most of the ZEC that left after the Orchard bug came back within weeks of the new Ironwood pool launching in late July. That recovery comes weeks before NU7 is planned to go live in November. The upgrade would cut the target block time from 75 seconds to 25, giving payments and swaps their first confirmation about three times sooner.

When I look at the next decade, I see these three technologies are coming together. The internet makes information global and instant. Crypto is making value global and programmable. And AI is making intelligence scalable and personalized. When these three technologies come together, financial services can fundamentally change. Money can move globally 24 hours a day. Markets can become more accessible. Payments can be cheaper. Financial products can become more personalized. And services that historically were only available to wealthy consumers can potentially become available to everyone. 展望下一个十年，我认为这三项技术将会融合。互联网让信息实现全球化、即时化；加密技术让价值能够全球化、可编程化；而人工智能，则让智能能力具备可扩展性与个性化。 当这三项技术融为一体，金融服务将会发生根本性变革。资金可以全天候在全球流转，市场门槛会进一步降低，支付成本会变得更低，金融产品可以更加个性化。那些过去只有富裕人群才能享受到的服务，未来或许人人都能使用。 摘录自昨天 OKX CEO @star_okx 的主题演讲！

🚨 XRP WASN’T BUILT TO BE “JUST ANOTHER CRYPTO” — HERE’S WHAT MAKES IT DIFFERENT! ⚡ Fast settlement 🌎 Built for cross-border payments 🔢 100B max supply ⛏️ No mining 🏦 Real-world payment utility The real question: HOW BIG COULD XRP BECOME? 👀💰🚀 #XRP# #Ripple# #XRPL# #Crypto#