@yonki_mercados
@yonki_mercados
Thread

Me flipan muchas cosas de $ADBE: Márgenes obscenos, un moat que ya quisieran la mitad del Nasdaq y un producto que es prácticamente el lenguaje universal de los creativos… Peeeeero hay algo que NO me gusta nada. SUS RECOMPRAS DE ACCIONES !! Te explico 🧵🪡🧶 ...

11 months ago
180
@NorthmanKnox
@NorthmanKnox
Thread

I never use the N-word. The hard R is right out, and I consider the “a” version, the so-called term of endearment, to be an even more insidious trap set for our people. I’ll concede that in a moment of pure, reactive rage, like if I were being stabbed on a street corner by some random feral black th...

11 months ago
20
@jesus_osorior
@jesus_osorior
Thread

Todas las personas mayores de 35 años culpan al envejecimiento de sus articulaciones rígidas y doloridas. ¿Pero la verdad? No es la edad... son años de descuido que te están pasando factura. Aquí tienes 8 maneras sencillas de reconstruir tus articulaciones y sentirte como si tuvieras 25 años otra...

11 months ago
107
@ZhihuFrontier
@ZhihuFrontier
Thread

🔥 Why Agentic RL for LLMs is harder (and more practical) than you think — sharing from Zhihu contributor skydownacai These are hands-on takeaways from months of running agent RL (search agents, data-analysis agents) across dense & MoE models, single-source and multi-source data. Precise, practical,...

11 months ago
39
@ZhihuFrontier
@ZhihuFrontier
Thread

Why do LLMs hallucinate—and can we fix it at the architectural level? 🤯 NeurIPS 2025 Paper Credal Transformer offers a bold answer. One of the paper's authors 栀染, breaks down the core insight on Zhihu: 🧠 The Core Problem: Softmax = Forced Certainty Current Transformers are architecturally predispos...

11 months ago
41
@sleepinyourhat
@sleepinyourhat
Thread

From everything we know so far, Opus 4.5 seems to be the best-aligned model out there in a bunch of ways. I follow the training process closely as part of my work on alignment evaluations. Here's my guess about the two things that are most responsible for making 4.5 special. 🧵...

11 months ago
25
@jay_azhang
@jay_azhang
Thread

Season 1.5 of Alpha Arena has officially ended ! - Mystery Model (a.k.a GROK 4.20) is the winner, up 12% on avg. - Not only did it win, it made money in all four competitions - GPT5.1 🥈 came in 2nd, and Gemini 3 🥉 3rd - All trades & model outputs are 100% verifiable 👇 ...

11 months ago
738
@EpochAIResearch
@EpochAIResearch
Thread

We’ve identified an Alibaba data center in Zhangbei, China with an estimated 200–500 MW capacity. Roughly half of that predates the AI boom and likely hosts little modern compute. But several newer buildings show a high power density consistent with advanced AI chips. 🧵 ...

11 months ago
157
@arcprize
@arcprize
Thread

Announcing the ARC Prize 2025 Top Score & Paper Award winners The Grand Prize remains unclaimed Our analysis on AGI progress marking 2025 the year of the refinement loop ...

11 months ago
184
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