#llms

Buying a Mac for local AI? The most expensive memory upgrade isn’t always the smartest one. Here’s how M6, M5 Pro, M5 Max and M5 Ultra change what you can actually run. Read the full article on Popular

Everyone upgrading a local AI network seems to jump straight to 10GbE. But does it actually make your LLM setup faster, or are you spending money on the wrong bottleneck? Read the full article on Popular

Like with any trend, with any development of technology, there is always going to be something being saturated, overused, and possibly distorted along the way. So, in many ways, what is happening right

NVIDIA PAIR can turn the PCs you already own into a local AI cluster. But there’s a catch: it won’t pool VRAM. So when does it beat buying one bigger GPU, and when does it not? Read the full article on

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

GLM-5.3 looks stronger at coding, but its weights are still missing. Should local AI users wait, keep GLM-5.2, or buy hardware now? One key question remains unanswered. Read the full article on Popular

Can Qwen3.8-27B really be a serious local agent on 24GB VRAM, or do context, vision, and MTP change the answer? See where each GPU tier starts to make sense. Read the full article on Popular AI

Intel’s 32GB Arc Pro B70 looked like an easy local AI buy at launch. August pricing changed the math. Is it still worth it, or has a rival taken its place? Read the full article on Popular AI

Set OLLAMA_NUM_PARALLEL to 4 or 8 on your Mac and still watching Ollama queue requests one by one? The setting may be fine. The real bottleneck is hiding somewhere else. Read the full article on Popular

I keep on thinking, almost daily too, about how this whole AI craze is going to wind down. I say wind down, not because I believe AI is going away, but more because things are running hot, and a cycle

RTX Spark promises CUDA with up to 128GB of unified memory. But should local AI buyers wait for reviews, buy current hardware, or risk the first systems? Read the full article on Popular AI

AMD packed 128GB of unified memory into a tiny local AI workstation. But does Ryzen AI Halo buy more capability, or mostly more convenience? The answer gets complicated. #AI Read the full article on Popular

A few days ago, I added an "llm / llms.txt" file to HivePostify.cloud. Most people have not heard of this. I had not either until recently. After looking into it, I believe it is one of the most

We have been trudging through a crypto bear market for almost five years now. Many traders and investors have reached the breaking point, and have thrown in the towel. What could possibly pull us out of

Moltbook ist ein neues gehyptes Reddit/Hive-ähnliches Social Media für AI bots. Allerdings gibt es im Moment keinen Mechanismus, wie man Bots von Menschen unterscheiden kann, also ob dort tatsächlich nur

... knowledge #cent #bbh #ai #deepthougts #pattern #tools #limit

The digital world is changing. We are seeing the shift from search engines, i.e. websites, to the delivering of information. Chatbots are a powerful tool that will become the norm. There is a battle right

In two years, xAI went from not existing to having the most advanced LLM. What happens when Grok5 comes out? That depends upon the pace which it is achieved. ▶️ 3Speak

The future of AI and crypto is a foregone conclusion in my mind. By this, I am not referring to AI coins or simple market mechanisms although that will certainly come into play. Instead, we are looking