阿乐

[阿乐 @eason5788]

我们正在赠送 1
$BTC
我们将随机抽取一位幸运儿，赠送 1 个比特币（约合 82,000 美元）！正如我们承诺的，我们将向一位幸运粉丝赠送 1 个比特币。参与方式：点赞、转发并评论“BTC”。*如果您没有关注我们，则无法参与。我们将在 24 小时内公布获奖者！24 小时后我们将关闭评论并公布获奖者。祝大家好运！

[阿乐 @eason5788]

Giving away 1
$BTC
to a random person! As promised, I’m sending 1 BTC (~$84,000) to one lucky follower. Like, retweet and comment 'BTC' to enter. * If you’re not following, you will be disqualified. Winner announced in 24h! Comments will be locked after 24 hours, the winner will be announced. Good luck everyone!

[阿乐 @eason5788]

BTC

[Dharmik Harinkhede @AiwithDharmik]

We're giving away 1 $BTC to 1 randomly selected winner!

As promised, we'll send 1 BTC (approx. $82,000) to 1 lucky follower.

How to enter: Like, retweet, and comment "BTC".

*If you're not following, you're disqualified.

The winner will be announced in 24 hours!

We'll close comments in 24 hours,
and announce the winner.

Good luck, everyone!

[阿乐 @eason5788]

BTC

[Bitcoin PulseX @BitcoinPulseX]

Giving away 1 $BTC to a random person!

As promised, I’m sending 1 BTC (~$84,000) to one lucky follower.

Like, retweet and comment 'BTC' to enter.

* If you’re not following, you will be disqualified.

Winner announced in 24h!

Comments will be locked after 24 hours,
the winner will be announced.

Good luck everyone!

[Bitcoin PulseX @BitcoinPulseX]

Giving away 1 $BTC to a random person!

As promised, I’m sending 1 BTC (~$84,000) to one lucky follower.

Like, retweet and comment 'BTC' to enter.

* If you’re not following, you will be disqualified.

Winner announced in 24h!

Comments will be locked after 24 hours,
the winner will be announced.

Good luck everyone!

[阿乐 @eason5788]

有人用假名，把简历投给了自己公司那个正在招的岗。
6 分钟后收到拒信。
故事来自 Reddit，没被核实。但它传遍全网，因为太多人觉得自己就是这样被拒的。

真正筛掉你的，常常不是 AI，是人写的死规则。

[RezoCV @RezoCv]

A manager applied to his own company with his own CV, under a fake name. The ATS rejected him in 6 minutes.😳👇🏻

[阿乐 @eason5788]

年轻人讨厌 AI 和必须学 AI，从来不矛盾——你讨厌的是 AI 生成的内容，市场要的是 AI 当工具。

区别只有一个：谁为结果负责。

让 AI 写一万字然后原样发出去，那是 slop；让 AI 把一周的活压成两天，然后自己署名、自己承担判断错误，那是专业。

所以不必在“拥抱”和“抵制”之间选边。真正稀缺的从来不是会用 AI 的人，是能一眼看出 AI 哪儿错了、并且愿意为此负责的人。你那份嫌��，刚好就是这个能力。

[Alex Yumashev @jitbit]

Young people actively hate AI.

My two younger daughters are 19 and 18, both at universities - one in the UK the other in Italy. Through them, I happen to know quite a few kids their age.

And ALL OF THEM seem to universally hate AI.

To them it's "something old people invented that we now have to deal with... as if climate change wasnt enough"

AI is cringe. When they introduce me to their friends, they literally say "heyya, meet my dad, he's a software engineer but nonono, NOT IN AI, dont worry, hahah".

They hate it for flooding their social feeds with slop, ruining music, taking phone scams to the next level, also destroying careers & devaluing their hobbies - why become an architect, this skill is about to become worthless? Why learn a musical instrument if session musicians are already obsolete?

The outcome is interesting, though - they're spending less and less time on public social, meeting up IRL, moving their online lives into private group chats with actual verified friends. TikTok and Reels are increasingly cringe-something for old dudes.

Which, I guess, might be a net positive after all...

[阿乐 @eason5788]

$3.5T ÷ ~160M US workers ≈ $22k of AI revenue per worker, per year. Average total compensation is ~$90k, and $3.5T is ~23% of all US labor compensation. So AI has to book roughly a quarter of every worker's cost — either by making them 25% more productive, or by taking the job.

Here's the part nobody sizes: it's the same pool of dollars. If the $3.5T comes out of enterprise payroll, the buyers are the people whose wages just shrank. Labor substitution is deflationary for the demand it needs. The revenue only closes if the productivity gain expands the pie faster than AI captures it — and if the gain lands in workers' pockets, not just in capex returns.

Which leaves a practical question: which link do you stand on?

• Selling hours in work AI does adequately → you are the cost line being cut.
• Owning the scarce complements → power, grid, land, cooling, trades. Boring, hard to tokenize, and the buildout physically cannot happen without them.
• Being the operator who keeps the margin → use AI to deliver 3x output and price the outcome, not the hour.
$3.5T isn't a bubble question. It's whether AI shows up in your income statement as a cost or as leverage. Most people get the first by default; the second is a deliberate choice.

[unusual_whales @unusual_whales]

To justify today’s data center buildout, AI would need to bring in about $3.5 trillion a year by 2032, per a new Brookings paper.

That’s 8.8% of U.S. GDP, nearly as much as Americans spend on food (9.1%), and far more than on energy (5.1%).

[Alec @ItsRealAlec]

送出 1 枚 $BTC 给一位幸运粉丝！

说到做到，我将送出 1 BTC（约 83,512 美元）给一位幸运关注者。

点赞、转发并评论「BTC」即可参与。

* 未关注者将被取消资格。

24 小时后公布获奖者！

24 小时后评论区将关闭，
届时公布获奖者。

祝大家好运！

[阿乐 @eason5788]

@ItsRealAlec BTC

[阿乐 @eason5788]

https://t.co/9EzeYJGvFg

[阿乐 @eason5788]

昨天给 X 交了会员费，顺手开始用里面的 Grok bot。
第一件事不是发帖，是问它一个问题：这件事我现在该动哪一下。
���卡住的从来不是没方法。
方法我存了一堆：拆解模板、清单、知识库，还有我自己写的那套规矩。真到要动手那一秒，我还是坐在原地。
因为我需要的不是“怎么做”，是“第一下动哪里”。而这个问题我自己答不出来。
所以我给它的用法只留一句：
把我不知道怎么开头的那件事，拆成第一步。只要第一步。
不问思路，不要方案，不听利弊分析。只问：第一个动作是什么，小到我现在就能做完。
差别在这儿。不是“写一篇稿子”，是“打开上次那个文件，把第一句删掉重写”。不是“整理记录”，是“把今天这段话粘进去，不排版”。

我试过很多办法让自己自律，全都没成。不是没毅力，是每次我都站在那儿，等一个我自己给不出的下一步。
Grok bot 是我用过的工具里，愿意把话说这么小的。它不靠聪明打动我，靠把话说小。
所以推荐语我只写一句：如果你也是方法一堆、一件事都开不了头的人，把它当扳手用，别当顾问用。
新工具到我这儿只有两个下场：接进系统，或者又一个开了一半的坑。
我给它的位置很小。不是我请来的军师，是那个在我盯着任务发呆的时候，先替我说出第一步的东西。

[阿乐 @eason5788]

确实如此，任何的地方都是需要混个脸熟

[永不言弃的土豆 @AItd986]

最近大家都在疯狂串门，评论，互关。

其实普通人刚做 X，没有流量池，先别天天研究发什么“爆款内容”。

没人认识你，内容再好也一样沉底。

先混脸熟，先互动，先把人脉滚起来。

今天继续串门，继续浇。
#浇朋友 #蓝V互关 #互帮互助

[阿乐 @eason5788]

这个工具大家有使用过吗？想听听使用分享

[阿乐 @eason5788]

直接上会员
账号一条都还没发，我先把 X 会员开了。

有些时候灵感💡很重要
花钱可能就是为了保护灵感
不要因为字数卡死了创作激情

[阿乐 @eason5788]

普通人怎么用 AI

今天中午在健身房见到六个人，其中三个我上个月也是这个点见到的。

我一边练一边想：能天天来的人，靠的多半不是意志力。是“今天练什么”这件事已经被解决了——有教练，或者有固定课表。

我不是这种人。

年������了，去的方式一直是断断续续：有时隔两天去一次，有时被事情打断，停一两周再回去。不算彻底断，但从来没固定过。我本来就是想法太多的人，一件事很容易被另一件事顶掉。

卡住的也不是“去不去健身房”。是每次站到器械区，我得当场回答三个问题：今天练什么、上次练到多少、这次要不要加重。三个都答不上来，我就去跑步机上走二十分钟，回家。

后来我把这三个问题全搬出去了。

一，训练内容提前定死。周末让 AI 按我这周的空档和上一次的记录排好两次，写清每个动作几组、多重。到健身房我只负责执行，不许现场决策。

二，练的时候只记两个数，重量和次数，当场记，不靠回忆。写不动就先扔进备忘录，一行也行。

三，下一次开始前，先看上一次最后那行“下次从哪儿接着练”。这行是写给三周后那个完全不记得的自己看的。

这套东西没把我变成每天都去的人。到现在也还是不固定。

它只做了一件事：把“去不去”和“练什么”分开了。原来这两件事捆在一起，我一件都做不了。现在只剩第一件。那件我常常做不到，但做不到的时候，我知道是卡在哪一步。

我所有落空的计划，最后都落在同一个地方——需要现场做选择的那一刻。

所以 AI 对我的用处，不是给我一份更科学的计划。是把我做不了的那部分决定，提前从现场拿走。