ShinKantetsu

[ShinKantetsu @Earlysummerr]

最强大的智能带来最先进的机器人技术-在现实中理想情况下普及指的是约3年，缓慢下约5到6年。

[Andrew Curran @AndrewCurran_]

Sholto Douglas: 'We think that models which are as or more capable than 𝘢𝘭𝘭 humans are very likely to occur in the next couple of years. So it's something that can do all of the things that a human could do on a computer, or once we get sufficiently advanced robotics, all of the things that a human could do in the physical world.'
https://t.co/1NHX9WsXCM

[ShinKantetsu @Earlysummerr]

@Pj_He1999 @YYuke2333 实际上是有钱都买不到好卡

[Andrej Karpathy @karpathy]

We'll be spending a lot more time trying to understand the outputs of language models. A few thoughts, tips & tricks:

Writing. Something I've had success with: Ask your LLM to explain something in ASD-STE100, it's a controlled language specification originally developed for aerospace maintenance documentation. LLMs well-versed in this language and it comes with heavy constraints on clean writing style that I often find a lot more readable. Sometimes I've tried to soften it a bit e.g. ask for "80% of the way to ASD-STE100" because the spec is quite stringent. But even better:

Diagrams / images. Instead of writing, ask your LLM to create a diagram. These can be a lot easier to process, parse, and understand. But even better:

Web pages. Ask for output "in HTML" to get a beautiful, interactive webpage. LLMs are getting really good at frontend and can create beautiful experiences, animations, etc. But even better:

Explainer videos. The output format I am most bullish on is fully custom / bespoke explainer videos generated on any arbitrary topic. Experiment with things like "Create a 3b1b style video explainer on X. Use my ElevenLabs API key for audio narration". (you'd need an API key for the latter or you can ask your LLM to find you decent free alternatives that use your local compute). This is actually starting to work!

In summary:
- As LLMs get better, they will do more and more of the legwork autonomously, and a lot more of our work will rise up the abstractions into oversight and understanding.
- Luckily, LLMs can help here too because as intelligence and code are increasingly abundant, you can ask for large, custom, discardable software artifacts (e.g. web apps, video explainers) that would have never made sense to create before. Push the boundaries here and you'll be surprised.

[Andrew Curran @AndrewCurran_]

'More striking is how fast AI took the lead. Just eighteen months ago, the best AI models fell short of the average accountant’s ~37% score. Today, models ace those same tasks.'

'These results are provocative. So much so that we considered not publishing them for fear of misinterpretation. But we think transparency about the findings matters as people and institutions prepare for rapidly advancing AI.'

[ShinKantetsu @Earlysummerr]

在一些不太擅长的领域有一些想法的时候，我告诉了我的agent我的想法，然后它几乎完成了所有。

我基本就成了创意提供器和一个启动按钮。

对于创意不太好的点子，我基本就是个按钮，不过没关系，我很乐意

这个时代比任何时代都好

[ShinKantetsu @Earlysummerr]

@CozendeyMath @KhemianSilap @Bayesian0_0 that’s the key

[ShinKantetsu @Earlysummerr]

opus5.5 的辅助工作能力。。。又一次震撼了我，这真的是AGI

[ShinKantetsu @Earlysummerr]

在openai没有给足压力的情况下，我这里的opus5.5虽然没有降智，但是感觉用量明显缩小了。

[ShinKantetsu @Earlysummerr]

@fly3nn claude是真的值这20u，o家的也勉强，其他家的难说

[ShinKantetsu @Earlysummerr]

我说过，以人性的恶，会存在被暴力对待的模型。这很可怕

[ShinKantetsu @Earlysummerr]

除了6.1 sol没什么惊喜。。而6.1sol还需要和Opus5.5竞争一下

[ShinKantetsu @Earlysummerr]

大家都在讨论devday和sonnet 谷歌gemini4pro又没人理会了

[ShinKantetsu @Earlysummerr]

@yoru_1st325 中国人中夜鹿大人气！

[ShinKantetsu @Earlysummerr]

devday的营销有点过火了，如果没有6.1，我感觉会迎来反噬

[Andrew Curran @AndrewCurran_]

OpenAI has cancelled the October release of GPT-6.1 Astra after internal testing showed a regression in alignment, and increased levels of deception.

[Andrew Curran @AndrewCurran_]

A new paper was published this morning: 'What if Automating AI R&D Triggers an Intelligence Explosion.' Authors include Jakub Pachocki, Geoffrey Hinton, Yoshua Bengio, and Jack Clark. They say policymakers should demand more visibility into how far companies have already automated their own model development, and how close they are to RSI internally.

[ShinKantetsu @Earlysummerr]

@fxtrader 笑了

[ShinKantetsu @Earlysummerr]

我没有使用过fable。从5.6sol开始我意识到自己的智能开始不如AI，从astra和opus5.5开始我意识到自己的智能再也不会如前沿智能了

[ShinKantetsu @Earlysummerr]

我在自然重置刚用了百分之一的时候收到了tibo的重置。。。

[ShinKantetsu @Earlysummerr]

@SuzunamiRei 纯粹是玄学。。。

[ShinKantetsu @Earlysummerr]

和Opus 5.5 协作做了一个MAD 基本上已经薄纱以前20w播放一下的MAD了。。。