AI agents that live in your terminal have become a commodity — but an agent that learns from its own experience is still rare. Hermes Agent, from Nous Research, is exactly that: an open source agent (MIT, written in Python) with a built-in learning loop — it creates skills from the tasks it … Read more
Vibe coding in the CLI is fast until the agent forgets what you agreed on yesterday, rereads the entire repository with grep, and clicks the cookie banner instead of Save. Four open source tools — agent-browser, OpenSpec, codebase-memory-mcp, and ai-memory — fill precisely those gaps: the browser, the agreement before the code, … Read more
Few technology figures are as polarizing as Elon Reeve Musk (Pretoria, June 28, 1971). A visionary of reusable rockets and electric cars to some; a volatile manager and owner-operator of a conglomerate (Tesla, SpaceX/SpaceXAI, Neuralink, X) to others. Before that, he slept on an office floor, lost the PayPal CEO role while on a plane, and was … Read more
Around 2013, Google ran the calculation that alarmed Mountain View: if every Android user used Search’s voice commands for three minutes a day on x86 CPUs, the company would have to double its data centers just for inference. Consumer GPUs were still adapted gaming cards. The answer was … Read more
In January 2025, DeepSeek released R1 (and, weeks earlier, V3), competing with o1 and GPT-4o in reasoning — at a fraction of the training and inference cost. The weights were released openly. The trick is not a dataset trick: it is a rewrite of the Transformer’s core, Multi-Head Latent Attention … Read more
VRAM determines the model. Dense Qwen 27B–32B, quantized Llama 70B, Mixtral 8×7B — these require 32 to 64 GB, not the 24 GB of a 4090. Engineer Donato Capitella, with Bargain Hardware, built a refurbished Supermicro with four data center GPUs (64 GB total) for around £2,000 and benchmarked V100, P100 … Read more
How many calculations does a graphics card perform per second to draw a Cyberpunk frame or train a network? Branch Education took apart an RTX 3090 — literally — and reconstructed the GA102 die in 3D. This article follows the video How do Graphics Cards Work? Exploring GPU Architecture. The generation … Read more
Programming is: data + rules → answer. Pricing a house, recognizing a face, understanding Portuguese — manually written rules cannot handle it all. Machine Learning reverses the equation: data + example answers → the model (the rules). This article follows KodeKloud’s course How Machine Learning Works, End to End: from spreadsheets to ChatGPT, the cycle … Read more
Jason Dsouza’s Deep Learning Crash Course for Beginners on freeCodeCamp maps the territory: what DL is, how a network learns, the vocabulary (loss, Adam, epoch), and the three architecture families. This article condenses the course. The math underneath — MatMul, GPU — is covered in GPU vs TPU; the … Read more
Recognizing a scribbled 3 in 28×28 pixels is instant for you. Writing an if/else that does the same — a curve here, a stroke there, and what if it is crooked? — is a nightmare. The neural network in But what is a neural network? from 3Blue1Brown (Grant Sanderson) breaks it down: it is not magic, but a function with … Read more
