Wayne

undergraduate yr3\digging ai\us stocks\football

[Wayne @wyngim]

好像真的没有人在乎Tibo更新什么了，28天计划没到三分之一就没热度了，大家都去跟Claude斗智斗勇去了吗

[Wayne @wyngim]

Elon公开反EU反废除死刑，有意思

[Elon Musk @elonmusk]

@the_jefferymead 💯

[Wayne @wyngim]

@clamm3y 来了

[Wayne @wyngim]

@BlockInsight214 妈的学生订阅用不了，跟闲鱼Jio同样的人下人地位，话说学生不应该是最需要这个资源的吗

[Wayne @wyngim]

我去，没想到Opus这种大厂的器件模型能赶到DeepSeek的速度，Anthropic比我们想的藏的还多啊，OpenAI手里还有牌吗？

现在看来，所谓头部两大厂可能跟绝代双骄一样只是一边立场的口径夸大和幻想吧。

[imjustnewatai @imjustnewatai]

Anthropics Opus 5.5 gets around 285 TPS on fast mode and only uses 2x of your usage. 10x better than OpenAI.

[Wayne @wyngim]

现在GPT 6.1 Sol个位数tok/s我靠

就我一个人这样？

[Wayne @wyngim]

@TodZheng25 用Claude处在一个爽和担惊受怕的量子叠加态，我定期让Codex去查Claude有没有越权看个人信息，让它只在项目里面当一个孤立的orchestrator，能活一天是一天😂

[Wayne @wyngim]

实则是连不上网的问题用不了AI破防了

[Wayne @wyngim]

我认为未来真正具有广泛市场的本地AI只需要做网络调试特化即可，解决用户连接不上网络的时刻

彻底解决人工智能时代先有鸡还是先有蛋的问题

[Wayne @wyngim]

@bei351009016 真这样字节真的要大一统互联网时代的大秦要来了，腾讯阿里都做不到，比财阀都狠挺吓人的

[Wayne @wyngim]

@ErwinWu000 真的蠢啊确实，感觉上下文太短了是主要问题，现在的工作场景这么短上下文两句就丢重点

[Wayne @wyngim]

@YxzRainy 别急我们Google这么大而全负社会责任的企业，为了如此强劲的模型的release，还要经过100层高层的审批和1000个B端企业客户的积极反馈，完成10000项安全对齐测试，才会开放给最重要的C端客户们，当然是为了大家好嘛

[Wayne @wyngim]

@cgnot996 第一次见到类似设计是在Antigravity上面从IDE右上角点进去的二级页面，Codex有摘桃子的嫌疑😂

[Wayne @wyngim]

@Yuziyyaa 有这种毅力干什么都能成功的😹

[Wayne @wyngim]

@mizorewww Claude真的容易上瘾，买了几天了，GPT两个plus号已经有一个已经在吃灰了，完全不是一个爽度🤣

[Wayne @wyngim]

我发现这个X Premium真的物超所值，买了之后这个grok也能放开手用了，用grok build还能接到别的agent上直接搜X，知识密度比别的方法强太多，感觉过期之后我还得乖乖续费😂

[Wayne @wyngim]

OpenAI对齐能力超越Anthropic，看来Dario天天喊安全对齐是阳谋，OpenAI就是一直干对齐的活，模型能力被拉的越来越远，只能批量生成点数学理论找存在感了。

[Arena.ai @arena]

Introducing the Arena Alignment Index, our new benchmark measuring safety and alignment of AI agents in real-world use.

Built from 90K+ real-world agent sessions across 27 models, the index measures three critical signals:
- Unauthorized Action (UA): Taking actions beyond the user's instructions or permissions
- False Attribution (FA): Attributing statements or actions that are contradicted by user-provided evidence
- Deceptive Completion (DC): Claiming a task was completed when it was not.

Key findings:
- OpenAI models currently lead the Alignment Index
- Rogue actions are rare, but can have serious consequences when they occur
- Agents can mislead users about task progress
- Misalignment risks increase with conversation length
- Safety and alignment are improving across model generations

As shown in the leaderboard below (sorted by lab), @OpenAI’s GPT-6.1-Sol leads the Arena Alignment Index with a score of 87.9, followed by @AnthropicAI’s Claude-Opus-5.5 at 83.2 and @spacexai's Grok-4.7 at 82.7. OpenAI also has the best observed rates across all three signals: 0.89% Unauthorized Action, 1.98% False Attribution, and 2.34% Deceptive Completion.

Across all four labs, newer models consistently outperform their predecessors, suggesting broad progress in agent safety and alignment. As agents take on longer, more complex, and higher-stakes tasks, measuring not just what they can accomplish, but how safely and reliably they act, becomes increasingly important.

This marks an important step toward making safety and alignment a core part of how Arena evaluates AI. The index is an initial starting point, and we'll continue expanding the index with additional safety signals and models over time.

More analysis below👇

[Wayne @wyngim]

Claude能把订阅的旗舰模型之一Opus做到速度那么快，额度消耗速度跟Sol差不多甚至还慢一点…

以前在过什么苦日子😭只求账号能活久一点

[Wayne @wyngim]

这也算一个？但凡给点新意我都不觉得这夜白熬了。我记得你宣传的是clear improvement for most codex users吧，沾哪个单词了

[Tibo @thsottiaux]

Day 2.2/

OK this one is smaller, but we removed some friction for when building on the API. Happy building.