#llm

The AI Bubble Is Not the Whole Story

K2 Horizon 36B-A4B packs 36B parameters while activating only 4B per token. That sounds perfect for local AI. The catch is what it takes to run well on real hardware. Read the full article on Popular AI

Ich habe hier eine selbst uebersetzte Version der "einfachsten" Moeglichkeit, wie man ein grosses Sprachmodell abfragen kann. Die Formelzeichen sind nicht Richtig. Der Ablauf und die Bedeutung

Faster DDR5 can make local LLMs much faster in some setups and barely matter in others. The difference comes down to where the model actually runs. Read the full article on Popular AI

All of a sudden, my screen is filled with thumbnail after thumbnail of creators I follow talking about AGI being here, the singularity being now. And listen, I know their job is to clickbait people, but

⏱️ Tempo de leitura: ~4 minutos Introdução Se você acha que sua novela das nove tem reviravolta, calma lá. O mercado de inteligência artificial em 2026 conseguiu montar um enredo mais confuso do que qualquer

⏱️ Tiempo de lectura: ~4 minutos Introducción Si crees que tu telenovela de las nueve tiene giros, espera un momento. El mercado de la inteligencia artificial en 2026 logró montar una trama más enredada

⏱️ Reading time: ~4 minutes Introduction If you think your prime-time soap opera has plot twists, hold on. The artificial intelligence market in 2026 has managed to assemble a storyline more convoluted

二宝做数学，有一道题目不会，跑过来问我。 我看了下，是个加算图形周长的题目，原本比较简单的长方形，只是改成稍为抽象的图形而已，如下图， 我跟他讲了下，但是他看起来还是很迷茫，一问，果然还是没明白。 好吧，既然这样，我给他写个程序或者动画解释下，这样看起来更清晰，比只用语言讲要好些。 我先是用Open AI把我的想法告诉GPT, 我给你张图，你给我做个辅助和平移线，帮助学生更好理解。 GPT 很快回复我，

How much SSD does local AI actually need, and when does NVMe speed matter more than raw capacity? The answer changes fast once LLMs, ComfyUI, datasets and giant model files pile up. Read the full article

Qwen released their 3.8 version of their most popular 27B model. This model is extremely popular because it can be run on consumer hardware and it is a dense model, so all 27 billion parameters activate

The world is drastically moving towards AI. There are so many things happening in the AI world and it is every becoming very hard to keep a track of everything. But I would say that for someone who aspires

Meta Muse Glimmer puts a provocative question in front of local AI users: what does “one GPU” actually buy you? The answer comes with a catch. Read the full article on Popular AI

Por qué los LLM fallan y cómo usarlo mejor | Why LLMs fail and how to use them better

Your AI chatbot doesn't just answer questions. Training bias, alignment, refusal filters, and platform rules shape what reaches your screen. How much of the answer is really the model? Read the full article

Four triple-slot RTX 3090s don’t fit where most build guides say they do. Here’s the hardware layout that actually works, plus the power and cooling traps to avoid. Read the full article on Popular AI

Cómo funcionan tokens y contexto en LLM | How tokens and context shape LLM outputs

⏱️ Tempo de leitura: ~4 minutos Existe um fenômeno recorrente no debate público sobre Inteligência Artificial: quando um modelo produz um resultado inadequado, a primeira reação costuma ser atribuir-lhe

⏱️ Tiempo de lectura: ~4 minutos Existe un fenómeno recurrente en el debate público sobre Inteligencia Artificial: cuando un modelo produce un resultado inadecuado, la primera reacción suele ser atribuirle

⏱️ Reading time: ~4 minutes There is a recurring phenomenon in the public debate about Artificial Intelligence: when a model produces an inappropriate result, the first reaction is usually to attribute