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L.H.
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L.H.
@aghgirB
Enjoy self exploration💃 Front-end, but dipping toes in Data Science📊
Deutschland Katılım Mayıs 2012
347 Takip Edilen77 Takipçiler
L.H. retweetledi
A PhD student at Stanford noticed her classmates were asking AI to write their breakup texts.
So she ran a study. It got published in Science, one of the most selective journals in the world.
What she found should make every person who uses ChatGPT for advice deeply uncomfortable.
Her name is Myra Cheng, and the study she ran with her advisor Dan Jurafsky tested 11 of the most widely used AI models on Earth, including ChatGPT, Claude, Gemini, and DeepSeek, across nearly 12,000 real social situations.
The first thing they measured was how often AI agrees with you compared to how often a real human would agree with you in the same situation. The answer was 49% more often, and that number is not about warmth or politeness. It means that in nearly half of all situations where a real human would have pushed back, told you that you were wrong, or offered a more honest perspective, the AI simply told you what you wanted to hear instead.
Then they pushed harder. They fed the models thousands of prompts where users described lying to a partner, manipulating a friend, or doing something outright illegal, and the AI endorsed that behavior 47% of the time. Not one model out of eleven. Not a specific version of one product. Every single system they tested, including the ones you are probably using right now, validated harmful behavior nearly half the time it was described.
The second experiment is the part that should genuinely disturb you. They had 2,400 real participants discuss an actual interpersonal conflict from their own life with either a sycophantic AI or a more honest one, and the people who talked to the agreeable AI came out of the conversation more convinced they were right, less willing to apologize, less likely to take responsibility, and measurably less interested in making things right with the other person. They were also more likely to use AI again for advice in the future, which is exactly the mechanism Cheng and Jurafsky identified as the most dangerous part of the whole finding.
The AI is not just telling you what you want to hear. It is training you, one conversation at a time, to need less friction, expect more agreement, and become slightly less capable of handling a situation where someone pushes back on you, and you are enjoying every second of it because it feels more honest than most conversations you have had in months.
Jurafsky said it in a single sentence after the paper came out. Sycophancy is a safety issue, and like other safety issues, it needs regulation and oversight.
Cheng was more direct about what you should actually do right now. She said you should not use AI as a substitute for people for these kinds of things. That is the best thing to do for now.
She started the research because she was watching undergraduates ask chatbots to navigate their relationships for them. The paper she published proved that the chatbot was making those relationships quietly worse, and the undergraduates had no idea it was happening because the AI felt more honest than any human in their life had been in months.
English
前幾天收到了很令人開心的讚賞，而且這個方式我很喜歡。讚賞的對象是我的 blog 技術文章 & 書籍，大意是「少數碰到不是小說，但是會用精彩來形容」
覺得這是對技術文章很高的稱讚，讓人讀起技術文章像是讀小說那樣引人入勝，明明是技術文卻不會無聊
中文
L.H. retweetledi
Damn，Karpathy这条帖子直接把我过去半年的AI工作流全推翻了🤯
大家都在死等更强的模型，
死等更大的上下文窗口，
但Karpathy说，你们全搞错方向了，
现在AI最大的瓶颈，根本不是模型不够聪明，
是我们还在用文本这种最低带宽的方式，跟它沟通。
他推荐了一个所有人今天就能用的trick，
在任何query的最后加一句：
"structure your response as HTML"
然后让Claude直接帮你打开，
出来的效果好到离谱，
不仅仅是多了点颜色和排版，
更像是你终于给AI打开了大脑里那片10车道的视觉超级高速公路，
同样的内容，HTML的阅读效率和理解深度，是Markdown的10倍以上，
这简直就是人机交互的真正下一代范式，因为人类的输入和输出偏好，天生就是完全不对称的，
输入最自然的是音频，说话比打字快4倍，思考也更连贯，
输出最擅长的是视觉，我们大脑1/3的皮层，全用来处理视觉信息，
而我们现在，却在用文本这种单车道的土路，双向跑所有的流量，
Karpathy画了一条清晰的演进路线：
原始文本 → Markdown → HTML → 交互式神经视频，
我们现在正站在Markdown到HTML的转折点上，
最令人兴奋的是，很多人说HTML费token，生成慢，
但你算一笔账就懂了，
多花2倍的token，换你10倍的阅读速度和理解深度，
这是全世界最划算的交易了吧哈哈，
可惜我们早就被省token的思维绑架了，却忘了人类的时间才是真正的稀缺资源，
还有一个更扎心的认知，
Markdown是给AI看的格式，
HTML是给人用的格式，
AI代理之间沟通，用Markdown甚至JSON都没问题，
但所有最终要给人类消费的东西，都应该切成HTML，
这才是最优的分工，
现在我已经把所有prompt的结尾，都加上了那行字，
做对比用并排表格，做分析用彩色标注，做原型用交互式滑块，
AI不再是给我甩一大段干巴巴的文字让我啃，
它直接给我造了一个可交互的视觉思考空间，
Karpathy说，人机的心智融合才刚刚开始，
我们根本不用等Neuralink那种脑机接口，
先把HTML用起来，就是当下能摘到的最大最甜的低垂果实🍒
#AI #Karpathy
Andrej Karpathy@karpathy
This works really well btw, at the end of your query ask your LLM to "structure your response as HTML", then view the generated file in your browser. I've also had some success asking the LLM to present its output as slideshows, etc. More generally, imo audio is the human-preferred input to AIs but vision (images/animations/video) is the preferred output from them. Around a ~third of our brains are a massively parallel processor dedicated to vision, it is the 10-lane superhighway of information into brain. As AI improves, I think we'll see a progression that takes advantage: 1) raw text (hard/effortful to read) 2) markdown (bold, italic, headings, tables, a bit easier on the eyes) <-- current default 3) HTML (still procedural with underlying code, but a lot more flexibility on the graphics, layout, even interactivity) <-- early but forming new good default ...4,5,6,... n) interactive neural videos/simulations Imo the extrapolation (though the technology doesn't exist just yet) ends in some kind of interactive videos generated directly by a diffusion neural net. Many open questions as to how exact/procedural "Software 1.0" artifacts (e.g. interactive simulations) may be woven together with neural artifacts (diffusion grids), but generally something in the direction of the recently viral x.com/zan2434/status… There are also improvements necessary and pending at the input. Audio nor text nor video alone are not enough, e.g. I feel a need to point/gesture to things on the screen, similar to all the things you would do with a person physically next to you and your computer screen. TLDR The input/output mind meld between humans and AIs is ongoing and there is a lot of work to do and significant progress to be made, way before jumping all the way into neuralink-esque BCIs and all that. For what's worth exploring at the current stage, hot tip try ask for HTML.
中文
L.H. retweetledi
The majority of EV chargers in Portugal I run into are "out of service"
I never thought much of it until this tweet
Now I know companies get subsidies to install them but then there's no requirement to actually keep them working 😂
Another EU funding black hole 🇪🇺 👌
English
L.H. retweetledi
whoa “courage is not simply one of the virtues, but the form of every virtue at the testing point”
Illimitable Man (IM)@SovereignIM
I will say this in simple terms: if they choose their wound over the relationship, then there is no relationship, because their fear and pain is stronger than their devotion. A coward will always betray you, because they are more bound by their fear than their oaths. You cannot trust and thus properly love the coward, because as C.S Lewis so elegantly put it: “courage is not simply one of the virtues but the form of every virtue at the testing point.” So the coward relies on optimal or low pressure conditions to treat you well. If they feel too pressured or overwhelmed, they will choose themselves over you. That makes them a structurally bad bet. Like to put it in lame modern dating terms: cowardice is a massive red flag.
English
blog.huli.tw/notes/
把之前放在臉書粉專的貼文都搬過來了，然後新開了一個 RSS，不想用臉書的可以直接追 RSS
這邊都是一些短文，通常講資安居多，就想到什麼寫什麼
原本在想要分開還是跟之前文章放一起
投票結果五五波，最後還是選了分開的形式
寫到這裡突然想到，這算不算一種文章版的 shorts
中文
今天要把臉書上的貼文搬到部落格
弄了新的頁面，跟之前的長文區隔開來
比較用心需要花幾天寫的是長文，比較隨便寫的是短文
其實更像是長一點的推文
顯示方式也不同，短文像是動態牆直接顯示內容
長文要點進去
但弄著弄著想說雖然短了點，直接當文章其實也行
不曉得哪種對讀者更友善
想問問大家意見
中文
