

Anthropic and OpenAI earn more revenue per employee than the top public tech companies, both now and at their IPOs. Anthropic: ~$9M OpenAI: ~$5.6M Top public co. (Nvidia): ~$5.1M
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Anthropic and OpenAI earn more revenue per employee than the top public tech companies, both now and at their IPOs. Anthropic: ~$9M OpenAI: ~$5.6M Top public co. (Nvidia): ~$5.1M


gradient bringing open infra into the agentic era. coordination, privacy and accessibility have been strong research efforts from the lab. happy to see gradient with other leading companies and labs powering agent infrastructure. ./ time to roll @Gradient_HQ






DeepSeek V4 flash is on par with GPT 5.4 (high), the best part is that it’s much more affordable at scale: GPT 5.4 pro vs DeepSeek V4 flash: Input: $30/M vs $0.14/M (214x cost difference) Output: $180/M vs $0.28/M (643x cost difference) Both at a million context, DeepSeek V4 Flash is really a bargain for intelligence.




去年10月bsc牛市那波我有个朋友看到小红书各种暴富传奇,人均法拉利,然后来找我换了10万u,很快春节前就爆差不多了。后面把最后1万u提链上去p,上个月底全亏完了,然后退圈了 然后我最近看大家讨论山寨的人多了起来,MM牛市,就想着难道MM之春要来了?因为我的币安帐号没有合约功能,就跟朋友要了个帐号来打。不过我不太懂二级交易,也看不懂k线,于是就让claude帮我写个脚本,就刷币安广场里面流量最高的帖子以及每天帖子量最高的币种,然后再在涨幅榜找波动最大的币然后帮我买入,买入的同时挂止损,最开始是挂20%止损,后面更新成无论开多大仓位都亏200止损,只做追一个方向 然后再让他帮我发币安广场,并且所有交易开实盘,该截收益图的时候截收益图,帮我在一周内做到100粉丝,然后蒸馏我自己的推特号的风格开发帖子,再把我的一些钱包丢给他让他参考我过去链上的打法,最后就打进去账户里面100u,让他从100u开始 今天是第八天了,刚刚再看一下账户已经4.8万u了,480X,币安广场631粉丝.....仓位里这几天妖币全买上了,并且很好玩,有时候他要发图会要求我帮他截图手机的收益图,因为他说这样真实一点,散户都是用的手机炒的多,发手机的分享图会让人更相信.... 好了,ai炒合约比我牛多了,我就看他什么时候爆仓

由于AI的存在,未来(或者说现在已经是了)会是大抄袭时代,稿可以洗,画可以溶,开源代码可以改个语言重构,甚至人都可以被蒸馏,各种所谓的护城河将不再存在,反噬可能才刚刚开始


🤖 Gradient Live Knowledge Trivia! Come by to join us on a 20 question trivia! See where you stack up for knowledge among Grads! 📍 Location: Builder Hub 🗓️ Time: April 11th 1PM UTC ./ @Gradient_HQ memory engine on 🧠




When you scale parallel agents, prompt updates degrade fast. The more trajectories you process concurrently, the more generic your learned prompts become. Our researchers worked with @lihanc02 and team on Combee to rethink how aggregation works at scale. Results held up across GEPA and ACE even past 80 concurrent agents. Read more on this research👇

