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Paolo Ardoino

Paolo Ardoino

加密加密创始人与领袖

@paoloardoino

粉丝 35.7万关注 894最近同步 10/19 08:37雷达库已收录

Tether CEO、Bitfinex CTO · Tether

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粉丝趋势近 30 天

10-12 → 10-19:-91最高 35.7万 · 最低 35.7万

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数据积累中

情报贡献参与 1 条已上架情报 · 首发 1 条

  • 新模型Tether AI 发布语音转文字模型 TranscribePsy10/16 09:20

最近帖子最多 20 条

Paolo Ardoino
Paolo Ardoino加密@paoloardoino·

Agent 花 USDT 就是未来。

机器翻译
Oobit@oobit

🎉 THIS IS HUGE: Muse, Grok, Dots and Instinct can now spend stablecoins. AI is moving from answering questions to doing things for us. To do that, it needs a way to pay. But giving an AI your card or access to your money is probably the wrong model. So we built something different. You approve every payment. @oobit creates a new one-time card for each transaction. The AI gets what it needs to complete the purchase, and nothing more. And this shouldn’t only work for people with the right bank card in the right country. Each card can be funded with stablecoins, crypto or local money, across 75+ countries. We think AI will become a meaningful participant in the global economy. Today, in partnership with @raincards we’re giving it a way to pay. 🔗 Learn more oobit.com/ai-payments

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Paolo Ardoino
Paolo Ardoino加密@paoloardoino·

到处都是流动的黄金

机器翻译
USDT0@usdt0_to

Gold has outlived empires, currencies, and financial systems. The mechanics of using it have not aged nearly as well. @Tethergold made owning gold as easy as using the internet. XAUT0 brings it to the networks where finance is being reimagined. Liquid gold, everywhere.

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Paolo Ardoino
Paolo Ardoino加密@paoloardoino·

Tether AI 刚刚发布了 TranscribePsy,一个超快、高质量的语音转文字 LLM,250M 参数。 - 覆盖 25 种欧洲语言 - 专为在手机和笔记本上出色运行而设计 - 在 iPhone 17 Pro Max 的神经引擎上,一段 10 分钟的录音只需 1.65 秒就能转录完成

机器翻译
QVAC@qvac

We just released QVAC TranscribePsy, a speech-to-text model small enough to run inside a phone app. It covers 25 European languages on a laptop and 8 on a phone, and on an iPhone 17 Pro Max's Neural Engine the 8-language build transcribes a 10-minute recording in 1.65 seconds. Glasses, robots and phones are moving to voice, and each of them first has to write down what you said. Today that step mostly happens on a server. TranscribePsy does it on the phone or laptop, so dictation and meeting notes keep working with no signal, and a private conversation can be transcribed without the recording ever leaving the room. Run it on our qvac-fabric-speech.cpp's parakeet engine, which optimizes for efficient execution and delivers the highest performance. Get the models: huggingface.co/collections/qvac/transcribepsy

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