🤣🤣🤣
Really great talk from Greg, walking through what mythos actually meant for the Linux kernel youtube.com/watch?v=NnV_cWeo…
@badlogicgames you might enjoy this
Luyao retweeted
This may sound crazy but it’s not, set a @safe set your wallets as signers and generate a pk with no money on it give that to an AI set that wallet as a PROPOSER safe, ask the AI to generate a etherscan, alchemy and tenderly keys (free tiers are fine!)
Then when you want to do things don’t use apps, just tell your agent to build, simulate and propose a tx for you.
If you check before signing and executing on @ambire you’ll be safer that way than 99.99% of people out there.
the number of posts about wallet hacks i’m seeing on my TL is just crazy
a few things that are VERY critical right now:
- revoke wallet approvals regularly
- use separate devices for work, personal, trading
- don’t connect your main wallet to random vibe-coded apps
- keep the majority of your funds in a cold wallet
ffs don’t end up losing everything chasing a 100x
Luyao retweeted
Simple but super useful tool, especially for ruminators and those who tend to get derailed by the world around them.
Simple exercise to focus your mind and stop worrying:
– Draw a line down the middle of a piece of paper
– Left side: everything you're concerned about (world events, opinions, outcomes)
– Right side: everything you can directly influence
– The right side will almost always have just one thing: yourself
– Break "yourself" down: how you think, how you speak to yourself, how you plan your day
– Do this exercise once a month, or whenever sticky thoughts wake you up at 3am
Retired Navy SEAL @AndyStumpf77 on @hubermanlab
软件是一种边际成本接近于零的东西,所以大的单一文化市场很有优势(中国/美国)。
当汽车变成一种软件载体后,理论上只有中国美国可以造车。
不过AI则是另一回事了。
why is Japan so behind in AI
they gave us robots
bullet trains
PlayStation
and yet barely show up in the AI race
what actually happened ?
Readers added context they thought people might want to know
Stolen word by word and recycled for engagement farming. That’s against X policy.
x.com/haha_girrrl/st…
Alright. I want you to read this.
Earlier today, I released a new component.
What you see is the finished result.
What you don’t see are the days of planning, research, testing, designing, simplifying, throwing ideas away, and trying again before I felt it was ready.
Within hours, it had been copied and ported to another framework by pointing an agent at my code.
Of course, it’s open source. They were allowed to do it.
And I’ve been around long enough, with multiple successful products, that I don’t care.
But what if this was someone’s first product?
What if they spent months building it, launched on Friday, and by Monday it had been cloned by agents, repackaged, and made free?
What happens when your second product is copied?
Your fifth?
Your tenth?
What happens when every new idea immediately becomes the next prompt?
What happens when your roadmap, your changelog, and your launch announcements become someone else input prompts?
What happens when models become good enough to copy bigger ideas?
What happens when “just execute better” stops being the answer?
What happens when “just build bigger” or “think wider” stops being enough?
What happens when both ideas and execution become cheap?
What happens when the creator pays the full cost of creativity but everyone else pays nothing to reproduce it?
What happens to creativity when AI makes copying effectively free?
What happens to the will to create when AI makes copying effectively free?
Look, copying is not new.
Copying at this speed, cost, and scale is.
People will tell you to think bigger.
But nobody starts "bigger".
Every one of us here started by making something small.
You keep going because, somewhere along the way, the work is rewarded.
Maybe people use it.
Maybe they pay for it.
Maybe they simply recognize the thought, effort, and care that went into it.
Copying once demanded effort.
You had to study the work and understand it to copy it.
That effort created appreciation for the person who made it.
Not anymore.
Creativity begins with small steps.
If we make those first steps feel pointless, we don’t just lose small products.
We lose the people who might have gone on to build the big ones.
We are uniquely positioned here.
We get to use and experience this life-changing technology before almost everyone else.
How we use it will set the default everywhere else.
That default will spread to writing, design, music, research, and every other field where someone still has to take the first creative risk.
We can use AI to build great things.
Or we can use it to strip every new idea for parts.
We decide.
这篇文章很有趣,它讲你原有的知识会如何帮助你使用 LLM。举了陶哲轩跟 gpt 对话的例子。它说模型里是有你要的答案的,但需要懂行的人把它拽出来。
seangoedecke.com/llms-reward…
延伸阅读
这篇文章在 Hackernews 上是有很多讨论的,我让 agent 整理了几条很有意思的评论:
1. 外行朋友 1.5 小时原地打转 vs. 专家一句话(49163331,krisoft)
krisoft 做了一个实验:让完全不会编程的朋友先自己用 LLM 做一个单页网页,他在旁边看。他以为 AI 会写代码没问题,最多卡在"怎么保存成 .html""怎么托管"这种地方。结果完全出乎意料——朋友连"让 AI 写代码"这一步都没做到。她不知道术语,一直在和 AI 头脑风暴功能,越聊越复杂,陷入"功能讨论漩涡"一个半小时后被终止。而 krisoft 自己一条消息就够了:"请写一个做 X、Y、Z 的 HTML 页面。"她只是缺几个词,就永远无法把 AI 踢进"别聊了,开写"模式。
2. 同一个医学问题,换成术语一秒出答案(49163928,fny)
fny 用大白话问 ChatGPT 一个医学问题,得到的是模糊敷衍的回答,还让他打 911。反复追问也没用。于是他把一模一样的问题换成医学术语重问,一次就拿到了想要的答案。评论原话:"专家和外行描述同一问题的措辞,会导致对信息空间的不同遍历。"("canine - dog = expertise")
3. 一群喝醉的马友做出了超越老开发的东西(49163585,AnotherGoodName)
30 年经验的老开发看到妻子的朋友们——一群醉醺醺的"马友"——用提示词读真实马匹广告,做出了"买马版Tinder":滑动匹配带"Hi I'm Dominique and I love running through fields"这种恶搞文案的马。虽然烧光了半个订阅额度,但这位老开发感叹:"AI 之前我做的那些小应用,被一群一时兴起喝醉的人比下去了。"——反例,但注意:她们是马的人,领域熟悉度全在训练数据之外,靠的就是这种隐性知识。
4. Claude 知道"我写了 Virgil 编译器"之后表现完全不同(49163147,titzer)
Virgil 编译器的作者 titzer 发现:"Claude 知道我是 Virgil 的作者,和它协作时它就表现得特别好。"他强迫模型少写代码、多写测试,对 slop 和一味的"再加个特例"坚决说不。它对他项目里的浮点处理有"令人惊讶的深入理解"。这是"权威效应/sycophancy"的一个活例子,也是"你懂行、会反驳"的直接收益。
5. 反直觉的成功法:胡言乱语式倒豆子(49161737,bonoboTP)
bonoboTP 说自己最成功的用法是毫无结构地倒豆子:对着语音识别口述 2-10 分钟意识流——背景、想要什么、已知什么、模糊的直觉、已知的坑——不纠正转写错误直接发出去。AI 都能懂。这和"精心设计提示词"的教条完全相反。但他补了关键一句:乱说可以,但你必须把关键事实都倒进去,而且你得真的知道自己在说什么。结构可以乱,知识不能缺——恰好印证文章论点。
还有一条很有意思的 HarHarVeryFunny(49163613)
用国际象棋类比解释为什么专家被奖励:LLM 给残缺棋局续走时,会先判断棋手强弱,再预测相应水平的走法。它不是一个"下棋赢你的 AI",而是"一个预测接下来会发生什么的专家预测器"。所以你对它有多强,它就对你有多强。
news.ycombinator.com/item?id…



















