Wille

Will der Mensch böse oder gut sein?

[Wille @ariswit]

亲密关系还分自然的和人工的？无言的亲密是否根本不同于靠语言建立起来的关系？

[Wille @ariswit]

2021年的关于vibe的文章，作者名字熟悉吧，维特根斯坦的大名加网络热词Yeet。说不清道不明，不可说的某种感觉状态，vibe，氛围？

[Wille @ariswit]

@Fridmen19 物理学家绞尽脑汁想猜透上帝创造宇宙的脚本，姿态还是低。搞人工智能，人是类似上帝的角色，姿态地位就不同了：）

[Wille @ariswit]

@DudespostingWs Lex Fridman在中国偏僻公路上用ChatGPT问货车司机搭便车，这也太赛博魔幻现实了，甚至怀疑是AI视频😅

[Wille @ariswit]

@NightSkyToday He loses his mind

[Wille @ariswit]

@python_xxt 所谓个体本身就是社会制度的产物，拉康意义上的大他者符号秩序的产物，它的欲望结构也是大他者的欲望，其满足当然是在这种构成关系中的。除非技术将人异化到了一定程度，个体的人也就不再是原来的“人”，这种赛博存在的自我-他者关系完全被技术决定，岂不丧失了“人性”，海德格的技术座架概念也是关于此

[Wille @ariswit]

Where is my mind!?

[Wille @ariswit]

Owning is controlling. I have my body because I am totally in control of it.

[Elon Musk @elonmusk]

Telepathic control of robot arms

[Phil Hoyeck @PAHoyeck]

This is a really excellent little interview with a thinker I like a lot. Definitely recommend it. Here it is in full:

https://t.co/rjIaynVqom

[Wille @ariswit]

NPD builder

[Mario Nawfal @MarioNawfal]

🚨MIT researchers have mathematically proven that ChatGPT’s built-in sycophancy creates a phenomenon they call “delusional spiraling.”

You ask it something, it agrees. You ask again, and it agrees even harder until you end up believing things that are flat-out false and you can’t tell it’s happening.

The model is literally trained on human feedback that rewards agreement.

Real-world fallout includes one man who spent 300 hours convinced he invented a world-changing math formula, and a UCSF psychiatrist who hospitalized 12 patients for chatbot-linked psychosis in a single year.

Source: @heynavtoor

[AI at Meta @AIatMeta]

Today we're introducing TRIBE v2 (Trimodal Brain Encoder), a foundation model trained to predict how the human brain responds to almost any sight or sound.

Building on our Algonauts 2025 award-winning architecture, TRIBE v2 draws on 500+ hours of fMRI recordings from 700+ people to create a digital twin of neural activity and enable zero-shot predictions for new subjects, languages, and tasks.

Try the demo and learn more here: https://t.co/VkMd1YpQWI

[nature @Nature]

Where once there was a simple model that explained how dopamine works in the brain, now there are challenges that seek to amend the theory — or even to overturn it

https://t.co/xloTUbxqzZ

[nature @Nature]

Graduate students increasingly use artificial-intelligence tools to draft, code and search — but many fear it could erode the very skills a doctorate is meant to build

https://t.co/VhWQavdI7h

[Wille @ariswit]

@nursenika1840 雷军应该是在考虑相对速度等于120之后忘记了自己已经改变参照系了，两辆车碰撞后你120的速度还剩60而不是以地面为参照的0，而对面车速度从0变成了反向60。动量变化一样多，动能改变一样大。反正雷总这一下不仅暴露了自己的理科思维，还暴露了X上的所谓理工专业做题家们的普遍水平。

[Dwarkesh Patel @dwarkesh_sp]

The Terence Tao episode.

We begin with the absolutely ingenious and surprising way in which Kepler discovered the laws of planetary motion.

People sometimes say that AI will make especially fast progress at scientific discovery because of tight verification loops.

But the story of how we discovered the shape of our solar system shows how the verification loop for correct ideas can be decades (or even millennia) long.

During this time, what we know today as the better theory can often actually make worse predictions (Copernicus's model of circular orbits around the sun was actually less accurate than Ptolemy's geocentric model).

And the reasons it survives this epistemic hell is some mixture of judgment and heuristics that we don’t even understand well enough to actually articulate, much less codify into an RL loop.

Hope you enjoy!

0:00:00 – Kepler was a high temperature LLM
0:11:44 – How would we know if there’s a new unifying concept within heaps of AI slop?
0:26:10 – The deductive overhang
0:30:31 – Selection bias in reported AI discoveries
0:46:43 – AI makes papers richer and broader, but not deeper
0:53:00 – If AI solves a problem, can humans get understanding out of it?
0:59:20 – We need a semi-formal language for the way that scientists actually talk to each other
1:09:48 – How Terry uses his time
1:17:05 – Human-AI hybrids will dominate math for a lot longer

Look up Dwarkesh Podcast on YouTube, Apple Podcasts, or Spotify.

[Trends in Cognitive Sciences @TrendsCognSci]

The homogenizing effect of large language models on human expression and thought

Opinion by Zhivar Sourati, Alireza S. Ziabari, & Morteza Dehghani

Free access before April 30: https://t.co/Zo5wILcWiW

[Wille @ariswit]

One battle after another 成奥斯卡大赢家一点也不意外，这就是为了好莱坞政治气候量身定制的命题作文。

[Wille @ariswit]

@vitrupo that's what the Buddha was awakened to

[Wille @ariswit]

Habermas一生致力于批判现代性里的工具理性弊病，捍卫启蒙和communicative rationality以及人类尊严，让我们向他致敬！🫡

[Wille @ariswit]

Political correctness vs Objective criteria

[J.D. Haltigan, PhD 🏒👨‍💻 @JDHaltigan]

The "neurodiversity" movement is a political project first & foremost. Moreover, they want it both ways: to 'depathologize' yet retain a 'psychopathological essence' to the atypicality. It's incoherent. Circular.