艾斯丸

@claudeai @ClaudeDevs I feel like i’m in an abusive relationship with Claude.

@S_Byzantine 我他妈爱你

Topology of Trading｜01 有没有想过从哲学拓扑的维度，重新检视一次那些你已经习以为常的交易、投资、博彩，乃至任何金融性操作？ 不论你已经在交易走了多远，让我们尝试一下清空大脑，重新从零开始按图索骥，感受一遍，什么是交易？什么是盈亏？ 先用一个无比浅显的角度表达“交易盈亏”：

@cyrilxuq 感谢 一直在找

我免费开源了一份《投资入门指南》， 感兴趣的可以star一下。 昨天我们的运营已经全部整理好了，后面会不断扩充新的专业术语。 今天我也会更新一个大版本，更新一个《投资第一课》，讲一下普通人投资可以成功的几个为数不多的路径。 github.com/xuchonglang/in…

yes that guy

@lbertlm 每个国家这个年龄都差不多了，可惜的是

Estic al tren sentint la conversa d'un grup de noies de 18-19 anys, es brutal com tenen tota la gent de la seva edat perfectament situada en una jerarquia social

@aurythiel hhhh exactly

ya basta Instagram, si conozco a esa hija de perra no m la recomiendes

j ai appris à mon ex à utiliser des baguettes et aujourd hui elle est en lune de miel au japon parfois on plante un arbre sans penser qu un autre va manger les fruits

🤯 This is a website, a simple web-based game built with WebGL and Three.js. Website: messenger.abeto.co It's honestly surprising how far web development has come.

Dejar a los niños jugar solos al aire libre exponiéndose a riesgos controlados (escalar árboles, jugar con agua o fuego, luchar de broma, explorar zonas donde hay riesgo de perderse, correr a gran velocidad, saltar desde cierta altura...) es necesario para su correcto desarrollo. Aumenta significativamente su autoconfianza y su sentimiento de competencia, mejora el bienestar psicológico, fortalece la resiliencia emocional y les ayuda a regular el miedo de forma saludable (efecto anti-fóbico). Además, favorece el desarrollo físico (fuerza, coordinación, equilibrio y habilidades motoras), incrementa la actividad física y reduce el sedentarismo. A nivel social, mejora sus habilidades de interacción con otros niños, la resolución de conflictos, la cooperación y el liderazgo. También estimula la creatividad, la resolución de problemas y la capacidad de evaluar y gestionar riesgos reales por sí mismos. Por el contrario, apartarlos de cualquier peligro y sobreprotegerlos aumenta notablemente el riesgo de desarrollar fobias y ansiedad, reduce su resiliencia, disminuye su autoestima y su capacidad para manejar el estrés y los desafíos de la vida. También favorece el sedentarismo, la obesidad, un menor desarrollo de habilidades motoras y peores competencias sociales, dejando a los niños menos preparados para enfrentarse al mundo real.

@TARSRel0aded Let him know that all of us adults can feel like kids at our core. It’s just a matter of not letting the world tear you down. There will be social pressure to not be whimsical, but if you be who you want to be you’ll attract the right people who can be with you for your life.

@Hedgeye “If we don’t include them in the index they’ll just take the IPO right down the street to the NYSE”

@ellyszzzz_ @eduantao 睡觉多爽啊

@eduantao Eu durmo pra caralho

Vc não transa, não fuma, não cheira, não beija, o que faz no final de semana???

Opus 4.8 is insane guys. It one shotted my session usage limit.

Mathematician Terence Tao offers a counterintuitive take: AI doesn't look intelligent because our definition of intelligence was wrong all along. He argues that the entire history of AI has followed a predictable pattern: "The history of AI has been here's a task that only humans can do, like maybe it is read natural language or win at chess or solve a math problem, and then one by one someone finds some AI algorithm that also does that." But every time a machine cracks one of these "uniquely human" tasks, we move the goalposts. The solution never feels like real thinking: "You look at how it's done and it doesn't feel like intelligence. It's, oh, it was some trick. You just cobbled together these neural networks and you ran some algorithm, and we were looking for some elusive intelligent way of thinking, and we don't see it in the tools that actually solve our goals." Tao then flips the problem on its head. What if the issue isn't with the machines, but with us? "But maybe it's actually because intelligence is not what we think it is." He points to large language models as the clearest case. What they do sounds almost embarrassingly simple: "Large language models in particular become very successful, and a lot of what they're doing is just predicting the next token, clicking the next word in a sentence. And that doesn't sound like something which is intelligent." To show why this feels wrong, Tao draws a comparison to how we'd judge a human doing the same thing: "If you ask someone to improvise a speech and they have no preparation, and at every moment they're just saying the next word that comes to their mind, you don't think that this could actually work." And yet it works for LLMs. Which forces an uncomfortable possibility: "Maybe that's actually a lot of what humans do as well."

@ji_chunsheng 对牛弹琴

Will.i.​am今天上Bill Maher的播客，谈到几周前去深圳的感受，以及对在中国自由的理解。

We're live Man vs. Machine x.com/i/broadcasts/1…

you can just build things from your phone, with Codex in the ChatGPT app

He's still wearing that damn coat

crazy how Claude Code, Codex, and billion dollar investments essentially boil down to this