I’m really happy to have joined last night’s Arc Office Hour and witnessed the birth of three new projects. Let me start with the one I’m most interested in, and also the one I’ve been testing over the past few days: @TowerExchange For now, it only supports the swap function. The routing goes through @synthra_finance , which is currently the chain-abstraction DEX integrated by more projects on Arc. Overall, Tower is mainly focused on AI agent strategies. In the next test version, we should be able to try features like recurring buy. The second one is Sendero. It is currently whitelist-based. You can apply through: Its direction is mainly focused on the travel industry. The third one is CronPay, which was actually the first project mentioned today, but I think it still has room to become even better. It already supports payments, but I believe it can do much more to fully leverage @Arc’s performance. Lastly, thank you @samconnerone and @silencexlm @0xmikef for today’s Office Hour. ............................................................................................. 真的很开心可以加入昨晚 Arc office hour 并见证三个新项目的诞生 先说说我最感兴趣的，也是这几天在测试的 @TowerExchange 他目前只开放swap 功能走的途径是 @synthra_finance 是目前 arc上较多项目接的Chain-abstraction DEX 整体主打 ai agent策略为主，未来下一个版本测试应该就可以来测recuuring buy等功能 其次是 Sendero 目前是以白单开放为主，可在 再来是今天第一个讲到但我认为还可以做更好的项目 cronpay 目前已经可以做支付了，但我认为可以做更多来发挥 @arc的性能 最后感谢 @samconnerone 跟 @silencexlm and @0xmikef for today office hour

AI spending among US companies is accelerating: The top 1% of US businesses spent a record median of $7,400 per employee per month on AI in July, according to Ramp. This compares to a record $650 per employee for the top 10% of businesses and $11.95 per employee for the median firm. Over the last several months, AI spend per employee has more than tripled for all these groups. The surge is widening the gap between categories, with the top 1% now spending more than 600 times as much per employee as the typical company. To put this into perspective, the top 1% of US businesses were spending less than $1,000 per employee per month on AI in early 2024. AI investment is becoming increasingly concentrated among a handful of companies.

AI is hungry for power, putting pressure on energy grids. Can India build a system resilient enough to keep up with its ambitious AI goals? Tata Power CEO Praveer Sinha joins Bloomberg’s Menaka Doshi on Emerging to discuss

AI’s greatest promise to travellers is personalised advice. For those tired of following the social-media herd, this will be welcome Illustration: Nicolás Ortega

AI is hungry for power, putting pressure on energy grids. Can India build a system resilient enough to keep up with its ambitious AI goals? Tata Power CEO Praveer Sinha joins Bloomberg’s Menaka Doshi on Emerging to discuss