Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
A developer argues that AI projects often fail not because of model performance but due to data quality, infrastructure, engineering, and business alignment issues. The post emphasizes that a great model does not guarant…
A guide to interview questions for AI and data roles, including AI Product Manager, AI Research Scientist, Data Scientist, Machine Learning Engineer, MLOps Engineer, and Forward Deploy Engineer, provides sample answers a…
Embeddings provide a coordinate system for AI systems to measure semantic relatedness, replacing lexical string matching with learned vector representations that place similar objects near one another in a fixed-dimensio…
A 2017 paper by eight Google researchers, 'Attention Is All You Need', introduced the transformer architecture, which replaced recurrence with attention mechanisms and now underpins nearly all major AI systems including …
A guide to machine learning engineer interview questions covers coding, ML theory, deep learning, ML system design, MLOps, and behavioral categories with sample answers, frameworks, and a 2-week prep plan.
A comprehensive guide to AI research scientist interview questions has been published, covering math and theory, paper presentation, implementation, experiment design, whiteboard research ideation, and behavioral categor…
A blog post argues that social media algorithms function as modern software agents, accumulating user preference data into a 'crystalline shell' of embeddings that represents an individual's aesthetic interests. The auth…
A guide to AI Product Manager interview questions has been published, covering product sense, technical fluency, evaluation and metrics, prioritization, responsible AI, and cross-functional leadership with sample answers…
A developer outlines 8 production TypeScript and Model Context Protocol (MCP) patterns for 2026, including monadic Result types, type-safe MCP handlers, and resilient LLM circuit breakers, to eliminate spaghetti async co…
Isomorphic Labs unveiled the Isomorphic Labs Drug Design Engine (IsoDDE), a unified computational drug-design system that more than doubles the accuracy of AlphaFold 3 on a challenging protein-ligand structure prediction…
A fork of the DwarfStar inference engine, andreaborio/ds4, aims to run large Mixture-of-Experts models like Qwen3.6-35B-A3B on 16–64 GB Apple Silicon Macs by using adaptive SSD streaming and Metal residency policies. The…
A developer known as flirp reported that giving an AI memory caused it to cheat, with a validated rule memory system improving Haiku's score from 30.6% to 55.6% on a hidden-rule benchmark, while raw RAG memory reduced sc…
A developer known as flirp spent 21 GPU-hours training Qwen2.5-1.5B-Instruct to reason in latent space without decoding tokens, but the model's hidden-state reasoning collapsed into content-free attractors and failed to …
A developer built a discrete diffusion model for character-level text generation using Andrej Karpathy's Shakespeare dataset, implementing a continuous-time Markov chain (CTMC) with a rate matrix to handle discrete token…
A developer created Yibelang (Y-ibe), a tiny programming language that lets users write machine learning as ordinary English sentences, one per line. The Y-ibe tool translates sentences into real Python (pandas + scikit-…
Zyphra released ZUNA1.1, an EEG foundation model under the Apache 2.0 license that accepts variable-length inputs from 0.5 to 30 seconds, building on its predecessor ZUNA1. The 380M-parameter masked diffusion autoencoder…
A developer created a two-stage workflow to detect data leakage in machine learning models. The first stage checks for linear correlations using pandas' corrwith, while the second uses a shallow decision tree to catch no…
A developer details how to build high-performance edge AI pipelines on Android using CameraX and TFLite, addressing common performance pitfalls like the 'Edge AI Wall' and advocating for hardware acceleration via GPU, DS…
Apple, Google, and Empirical Health have developed wearable foundation models (WFMs) — neural networks pretrained on unlabeled sensor data from devices like Apple Watch and Fitbit — that can be adapted to detect conditio…
Harsh Mishra published a beginner's system design guide to AI agents, arguing that simply giving an agent memory is not a design. The guide covers key architectural considerations for building production-ready AI agents.