vvinwer

[vvinwer @vfloxt]

claude怎么这么耐用！我真蹬不完！

[vvinwer @vfloxt]

妈的 Claude还是世界第一AI 哭死了 感觉前额叶回来了

[vvinwer @vfloxt]

感觉Claude智商回来了啊

[vvinwer @vfloxt]

opus什么情况啊，，，不是连个mac 组件都装不好了吗，，，这个隔壁sol 中档推理就能做的啊我服了

[vvinwer @vfloxt]

Claude够坚挺的，，，怎么蹬都蹬不完。。。

[vvinwer @vfloxt]

垃圾国模！浪费我青春！

[vvinwer @vfloxt]

唉。

[vvinwer @vfloxt]

@whyyoutouzhele 这跟seo投毒有啥区别🌚

[vvinwer @vfloxt]

🤦‍♀️妈的上次13号疯狂蹬的余震残留至今

[vvinwer @vfloxt]

那我就先祝老中早死了

[李老师不是你老师 @whyyoutouzhele]

“下一次全球经济危机可能源于中国”

8月13日，美国前贸易代表、现任美国外交关系委员会主席迈克尔·弗罗曼在《外交事务》撰文警告：下一次全球经济危机可能源于中国。

文章认为，中国依靠投资、制造业扩张和出口维持增长的模式正逐渐逼近极限。
2025年中国货物贸易顺差接近1.2万亿美元，而全球市场已经越来越难以持续吸收中国不断扩张的产能。
作者直言，“北京已经长大到现有经济模式无法继续支撑的程度。”

弗罗曼进一步推演，一旦出口机器停转，冲击可能从亏损企业、银行坏账蔓延至地方融资平台和地方财政，并造成沿海制造业失业上升，最终令北京面临更大的社会不满和“执政合法性承压”。

文章称，中国甚至可能经历一个比日本“失去的十年”更艰难的长期停滞，因为中国当前人均收入更低、人口前景更差，房地产、基建和制造业又都已面临增长瓶颈。

文章最后警告：如果北京继续依赖补贴、扩产和出口来推迟经济再平衡，“前面的路很快就会走到尽头”。

[vvinwer @vfloxt]

草了 自从一天狂蹬6kwtoken之后就萎到现在

[vvinwer @vfloxt]

感觉对比的参照对象不太对。。应该对比中国模型才是吧，，，Claude能力也很强啊，，不过中国模型也上不了桌，现在又贵又菜。。谁他妈没事用中国模型来搞任务啊

[Tibo @thsottiaux]

On tokens and prices per token.

I said I’d write more about this, so here goes: an OpenAI token != another model’s token. We compare AI prices in dollars per million tokens as if a token were a standardized unit, like a gram or a kilowatt-hour. It isn’t. Different models use and produce the exact same text using different numbers of tokens, which means a lower price per token does not necessarily mean a lower bill.

Imagine two identical pizzas. One is cut into 8 slices at $2 each. The other is cut into 16 slices at $1.25 each. The second place advertises cheaper slices, but the whole pizza costs $20 instead of $16. Bummer ... your stomach doesn't actually care about the number of slices you just ate.

I know you are hungry now, but back to tokens. In one small comparison spanning English, technical, multilingual, and numerical text, the tokenizer we use for GPT-5.6 Sol used 766 tokens versus an estimated 1,170 for Claude Opus 5. That's a very significant difference of about 34.5% fewer tokens. You can get the same exact text, but pay for all those extra tokens. The price per token doesn't really tell this story.

Even correcting for tokenizer differences misses the bigger point. What actually matters is price per successful outcome, and for that you can use benchmarks as a starting point, but really you have to try it and measure on your own use cases.

That's all. May the tokens flow.

[vvinwer @vfloxt]

给国模做harness真的是最强耐心锻炼了

[vvinwer @vfloxt]

很有故人身姿，opus4.6是你吗呜呜呜

[vvinwer @vfloxt]

Hi Tibo! @thsottiaux Small Codex desktop/Computer Use issue I ran into: an idle task left its Node kernel at ~250% CPU and 7.4 GB RAM, making my Mac very hot. It appeared stuck in GC after many UI snapshots. Stopping that kernel fixed it. Could you take a look?

[vvinwer @vfloxt]

codex恁激动吗

[vvinwer @vfloxt]

我跟个牛一样。。一直vibe coding 我要吐血了

[vvinwer @vfloxt]

真要吐血了！！！yue。！

[vvinwer @vfloxt]

不是，兄弟，我还有一次重置的limit呢？？不是13号过期？？怎么直接没了！！

[vvinwer @vfloxt]

唉