synia

Developer, Machine Learning Enthusiast, Freelance Explorer

[synia @SyniaRules]

@yan1985_ @nickShowMark @maoshen 你到底什么底色你自己最清楚，别在这装理中客了傻逼😅

[synia @SyniaRules]

@yan1985_ @nickShowMark @maoshen x 上大傻逼真多，这种逼话都能说出来，为了反中真是难为你了(~_~💧)

[synia @SyniaRules]

@salonbus1024 @Pathusa 以前没看过新闻？怎么见识这么短浅😶

[synia @SyniaRules]

@longCR89 @imwsl90 你这傻逼自己说的话被打脸了还在嘴硬。说明你不仅是个傻逼，还是个嘴硬的傻逼😂

[synia @SyniaRules]

@longCR89 @imwsl90 傻狗😂

[synia @SyniaRules]

@XiaoweiLi19 @K7qWcfzcdAPW5Y9 怎么感觉你们用繁体的都这么弱智啊🤔

[Shobhit - Building SuperCmd @nullbytes00]

Done @garrytan
Now you can use your apple watch to control claude code session! built this in 6 hours, used gstack for this

See /office-hours from gstack in action in the video.

- Your Claude session, live on your Apple Watch
- Accept, reject, or reply instantly to prompts

use it here, made it open source: https://t.co/GCchsfbbnM

[synia @SyniaRules]

@nullbytes00 @garrytan Great work. I can't wait to code with my Apple Watch

[Junyang Lin @JustinLin610]

https://t.co/mgVhhZVTKg

[synia @SyniaRules]

@Amaz1nggrace @tianzige4 你们这帮傻逼连臆想和事实的区别都搞不清楚🤡

[BearTalk @Bearlagcy]

https://t.co/eESaArsHx2

[日常焦虑帝 @gpuhell]

苏神博客上的配图比论文里的清楚多了...
连线有颜色区分，一看就知道，论文里的单色混在一起。

https://t.co/AWdhWlKRcA

[Azu @QingSong79]

https://t.co/zZdZTr7KbL

[synia @SyniaRules]

@ZedongWinine @JazzGarlic 你每天就靠这玩意儿活着了，我理解你╮(•́ω•̀)╭

[杂学大师✨ @Techbruneth]

医生从不检测的最危险健康问题：

皮质醇过高。

它无声地导致脂肪增加、激素失衡和心脏病。

以下是8种医生级的修复方法：

1. 检查皮肤赘疣

[synia @SyniaRules]

@torontobigface 很好奇你这种智商怎么在国外混下去的

[Nav Toor @heynavtoor]

🚨BREAKING: OpenAI published a paper proving that ChatGPT will always make things up.

Not sometimes. Not until the next update. Always. They proved it with math.

Even with perfect training data and unlimited computing power, AI models will still confidently tell you things that are completely false. This isn't a bug they're working on. It's baked into how these systems work at a fundamental level.

And their own numbers are brutal. OpenAI's o1 reasoning model hallucinates 16% of the time. Their newer o3 model? 33%. Their newest o4-mini? 48%. Nearly half of what their most recent model tells you could be fabricated. The "smarter" models are actually getting worse at telling the truth.

Here's why it can't be fixed. Language models work by predicting the next word based on probability. When they hit something uncertain, they don't pause. They don't flag it. They guess. And they guess with complete confidence, because that's exactly what they were trained to do.

The researchers looked at the 10 biggest AI benchmarks used to measure how good these models are. 9 out of 10 give the same score for saying "I don't know" as for giving a completely wrong answer: zero points. The entire testing system literally punishes honesty and rewards guessing.

So the AI learned the optimal strategy: always guess. Never admit uncertainty. Sound confident even when you're making it up.

OpenAI's proposed fix? Have ChatGPT say "I don't know" when it's unsure. Their own math shows this would mean roughly 30% of your questions get no answer. Imagine asking ChatGPT something three times out of ten and getting "I'm not confident enough to respond." Users would leave overnight. So the fix exists, but it would kill the product.

This isn't just OpenAI's problem. DeepMind and Tsinghua University independently reached the same conclusion. Three of the world's top AI labs, working separately, all agree: this is permanent.

Every time ChatGPT gives you an answer, ask yourself: is this real, or is it just a confident guess?

[synia @SyniaRules]

@DZshow520 @Bill2Freeman @Kasuya101 @grok 举几个美国国会议员通过内幕交易受益并且未被处罚的例子

[synia @SyniaRules]

@Bill2Freeman @Kasuya101 美国国会任职人员按照法定会公开持股和自己的资产，你看腐败消除了么？

[synia @SyniaRules]

@ixiaowenz 智驾怎么样