rick awsb ($people, $people) ✓

@rickawsb · no where · joined 13 Nov 2017

瞎读书，乱解释，买啥亏啥，宏观小学生，政经评论外卖员，正在ai中慢慢迷失自我，crypto holder, defi farmer, not financial advice 非投资建议

149 409Followers

12 398Following

21 343Posts total

164.6KViews on collected posts

Últimas publicaciones

rick awsb ($people, $people) ✓@rickawsb6 Sep

币圈不靠圣人，靠无法篡改的合约 6.9K views · 23 likes · 1 reposts · 30 replies Open on X →

rick awsb ($people, $people) ✓@rickawsb6 Sep

不得不说，hood这次为了让链上美股尽可能多的触达币圈玩家，也是拼了🤣 冲土狗的不愿意买链上美股？那rh就发一个meme，然后拉盘，顺便给每个冲土狗的玩家都送点股票 26.9K views · 58 likes · 1 reposts · 50 replies Open on X →

rick awsb ($people, $people) ✓@rickawsb6 Sep

传言Claude解决了千禧年问题之一，Navier–Stokes（纳维-斯托克斯）方程如果这个传言最终被证实，可能意味着 AI 正在开始“创造此前不存在的理论结构”。 Navier–Stokes 这类问题之所以几十年没解决，难点是可能缺少正确的表示、控制量或数学框架。如果 Claude https://t.co/Dad1fKYGrn 13.1K views · 41 likes · 6 reposts · 52 replies Open on X →

rick awsb ($people, $people) ✓@rickawsb6 Sep

Problems like Navier–Stokes have remained unsolved for decades, likely because we lack the right mathematical framework. If this is true, it would suggest that AI is beginning to develop the ability to discover entirely new ways of representing a problem. And that is precisely 5.5K views · 5 likes · 0 reposts · 9 replies Open on X →

rick awsb ($people, $people) ✓@rickawsb6 Sep

爆拉3倍的PAIR @pairdotfund 究竟魅力在哪里 👀 PAIR是部署在 Robinhood Chain 上的第三方无许可发币平台，创始人是Tugg（@0xTugg）它的卖点是：新代币从诞生那一区块起，就和 1–5 个链上代币化美股/ETF配对交易，而不是和 ETH 这类 gas 币配对核心机制： - 协议层费用的一部分用于回购销毁 https://t.co/vSxKcUCr3N 64.3K views · 139 likes · 16 reposts · 54 replies Open on X →

rick awsb ($people, $people) ✓@rickawsb6 Sep

模型能力即机器人能力当模型跨过临界点，机器人能力也就跨过了临界点我们已经迎来了机器人的gpt3.5时刻 8.5K views · 24 likes · 3 reposts · 28 replies Open on X →

rick awsb ($people, $people) ✓@rickawsb6 Sep

币圈都是囚徒，没有圣人 16K views · 19 likes · 0 reposts · 22 replies Open on X →

rick awsb ($people, $people) ✓@rickawsb6 Sep

ai能提出相对论吗？能成为爱因斯坦吗？ Claude 在 11 天内完成了费马大定理的端到端计算机形式化验证，意味着，AI 可能正在从“在已有科学表示中计算”，向“参与发明新的科学表示”更近一步。 ai可能距离下一次密度泛函理论（DFT）或者场方程所代表的那类突破，更近了一步。 23.3K views · 28 likes · 8 reposts · 16 replies Open on X →

Frente a cuentas del mismo tamaño

8 publicaciones de los últimos 90 días, junto al rango de 100K–1M seguidores. llega a mucha gente, pero pocos de esos espectadores reaccionan.

Visualizaciones medianas14 552esta cuenta5 983mediana de 100K–1M

Alcance, %9.74%esta cuenta1.49%mediana de 100K–1M

Interacción, %0.37%esta cuenta0.93%mediana de 100K–1M

Métrica	Esta cuenta	Mediana de 100K–1M	Proporción
Visualizaciones medianas por publicación	14 552	5 983	2.43×
Alcance (visualizaciones ÷ seguidores)	9.74%	1.49%	6.54×
Tasa de interacción	0.37%	0.93%	0.40×

Otras cuentas de este rango → Comparar con otra cuenta → Cómo se construyen estas referencias →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

23.3K6 Sep

16K

8.5K

64.3K

5.5K

13.1K

26.9K

6.9K

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.23%6 Sep

0.27%

0.65%

0.33%

0.26%

0.76%

0.41%

0.78%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes50.3%337 in total

Reposts5.2%35 in total

Replies39.0%261 in total

Quotes1.0%7 in total

Bookmarks4.5%30 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Últimas publicaciones

Frente a cuentas del mismo tamaño

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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