Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
The article introduces "Software Sovereignty," the principle that AI applications should function fully on local hardware without relying on cloud servers. It argues that Google's Gemma 4 models, particularly the small E…
The article describes "ai-engineering-from-scratch," a comprehensive, 20-phase curriculum with 435 lessons requiring about 320 hours of study. Unlike superficial tutorials, it teaches the underlying mathematics and build…
The article summarizes tests of Multi-Token Prediction (MTP) on Qwen 3.6 27B and 35B models using a 16GB RTX 4080 GPU. For the 27B model, MTP at a draft depth of 2 provided a 67% speed increase (75 t/s) but halved the us…
The article describes the development of PROTO RECON, an experimental browser-based app that creates a tactical HUD overlay using a smartphone's camera and sensors, including gyroscope, compass, and GPS. The project evol…
The article argues that the most dangerous metric for AI agents is autonomy, as it is often measured incorrectly by focusing solely on how many tasks an agent can complete without human intervention. The author contends …
Sadiq Jaffer spoke about TESSERA at Cambridge's Pint of Science event, while Cambridge undergraduates Radhika Iyer and Oliver Fogelin completed dissertations applying TESSERA to conservation and building a hybrid vector …
The article summarizes a backend engineer's practical benchmark of multimodal AI models accessed through a unified API endpoint. The author tested models like Qwen3-VL-32B, GLM-4.6V, and Hunyuan on vision and audio tasks…
The article summarizes a developer's hands-on comparison of 10 AI code generation models in 2026, based on real-world coding tasks and cost analysis. DeepSeek V4 Flash ($0.25/M tokens) is identified as the best value, wh…
NVIDIA has released the Nemotron-Labs Diffusion family of open-weight language models (3B, 8B, 14B, and an 8B VLM) that can operate in three generation modes—autoregressive, diffusion, or self-speculative—from a single c…
Here is a 2-3 sentence factual summary of the article: The article argues that for local agent workloads like multi-turn tool use and code editing, Google's dense 31B-parameter Gemma 4 model is a better default than the…
Linear regression is a fundamental machine learning algorithm used to predict numerical values by finding the best straight line that represents the relationship between variables, such as study hours and exam scores. Si…
Notari is an Android app that records, transcribes, and structures voice notes into Markdown format entirely on-device, without ever writing audio to disk or requesting internet permission. The app uses Android's SpeechR…
The article describes Hermes Agent as the first AI framework designed specifically for platform engineers, featuring a three-layer memory architecture that automatically builds "runbook libraries" by learning from past t…
The article explains that machine learning is a branch of artificial intelligence where computers learn patterns from data rather than following explicitly programmed rules. It introduces three main types of machine lear…
The article describes the author's experience building NeuroScale, an open-source platform that simplifies AI model deployment by handling 13 complex infrastructure layers (like isolation, policy enforcement, and cost at…
This article explains how large language models (LLMs) like ChatGPT decide which brands to mention, using a technical process called Retrieval-Augmented Generation (RAG). The system first retrieves relevant web content b…
The article summarizes a computer science student's experience building "NeuroSense AI," a privacy-focused stress insight assistant using Google's Gemma 4 model. The author argues that for sensitive applications like men…
The article describes the author's work building NeuroScale, a self-service AI inference platform that manages complex Kubernetes infrastructure for deploying models like Gemma 4. The author explains that most AI serving…
The article describes an empirical test of a "semantic router" pattern for AI agents, where 686 skills from a community corpus were indexed using an embedding model to enable fast, sub-second skill retrieval. The test ac…
The article explains how large language models (LLMs) are inherently stateless, forgetting all information after each interaction, which prevents them from improving over time. To solve this, the author introduces the He…