Chris Chen（薄肌训练中~）

Sun style, yellow hair, lean muscle — I want them all.
Into Web3 community growth, airdrops, memes, and on-chain opportunities since 2023.
Exploring AI, content

[Chris Chen（薄肌训练中~） @IIIChrisChen]

@sh11668 政治和商业交流，你想想之前特朗普为什么来中国

[Chris Chen（薄肌训练中~） @IIIChrisChen]

@wangjupaian 怎么没有其他的公司

[Chris Chen（薄肌训练中~） @IIIChrisChen]

This viral 3D pelican-on-a-bike scene looks pretty average in screenshots. You have to actually open it and ride to see how good it is. Fully procedural modeling, real-time waves, cloth scarf, day-night cycle — zero external textures. Go take it for a spin: https://t.co/WXJc3u6Oj1

[Chris Chen（薄肌训练中~） @IIIChrisChen]

@AlanShao111 和孙哥的播客什么时候出

[Chris Chen（薄肌训练中~） @IIIChrisChen]

@superalesha @grok Opus 5.5与gpt 6那个更强

[Chris Chen（薄肌训练中~） @IIIChrisChen]

@ai_xiaomu 还是要先走出第一步

[Chris Chen（薄肌训练中~） @IIIChrisChen]

@realWreacher @xmglab 真的吗，那我可要与神对话了

[Chris Chen（薄肌训练中~） @IIIChrisChen]

@100_btc_holder 加油

[Chris Chen（薄肌训练中~） @IIIChrisChen]

Tech leads the charge! 🚀A massive green day across the board with strong momentum in big tech. Bulls clearly back in control for now.Are we gearing up for new highs, or is this just a classic relief bounce? What’s your play this week? 👇$QQQ$AAPL $MSFT$NVDA #Nasdaq #StockMarket #Trading

[Chris Chen（薄肌训练中~） @IIIChrisChen]

@weilicdrv 真的有用吗

[Chris Chen（薄肌训练中~） @IIIChrisChen]

@wangchangfu88 是谁把这段话放我手机里的

[Chris Chen（薄肌训练中~） @IIIChrisChen]

@AlanShao111 @PearceChen42 艾伦哥你看好那个

[Chris Chen（薄肌训练中~） @IIIChrisChen]

@10086110x 0粉呢

[Chris Chen（薄肌训练中~） @IIIChrisChen]

Why has everything been running at full capacity these past few days?#chatgpt

[Chris Chen（薄肌训练中~） @IIIChrisChen]

@thsottiaux @argofowl Why have I been constantly overloaded these past few days?

[Chris Chen（薄肌训练中~） @IIIChrisChen]

Missed one day on X and the timeline is already full of Jev.Jev is a new “System One” model from TypeSafe AI, launched Sept 15 by ex-OpenAI researcher Diogo Almeida. It does not chat and it does not write. You give it state plus typed questions; it returns yes/no, a choice, or a score, with a confidence number, in milliseconds.Think of it as a very smart switch statement. LLMs generate text. Jev decides. Code acts.That split is why it blew up. People are wiring it into agents to pick the next click, route tickets, prune context, score content, and gate expensive model calls. Vendor numbers say 20–200× faster and 40–400× cheaper on decision work, with output tokens free. Real-world reports are less insane but still cheap enough to run https://t.co/wasTQ2ilnf does not replace GPT or Claude. It sits in front of them. If a step creates text, use an LLM. If it picks, scores, or answers yes/no, use Jev.The emerging stack already has a name: Jev Engineering.

[Chris Chen（薄肌训练中~） @IIIChrisChen]

@AndyL5cc 感觉还好

[Chris Chen（薄肌训练中~） @IIIChrisChen]

感觉纳斯达克又要创新高了

[Chris Chen（薄肌训练中~） @IIIChrisChen]

你们怎么成的角儿啊？挨了多少打？
我还要挨多少打才能成角儿啊

[Chris Chen（薄肌训练中~） @IIIChrisChen]

为什么我刚冲了chatgptpro的会员Google邮箱就给我封了