Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
A new framework called 'belief webs' is proposed to unify beliefs, goals, and actions in intelligent agents, drawing from active inference, agent foundations, and machine learning. The framework addresses internal incons…
A developer built an AI agent using active inference that becomes curious on its own by minimizing surprise rather than chasing rewards. On a foraging task, the agent achieved 100% success by checking a hint before actin…
Shridhar Shah, a senior software engineer at Outshift by Cisco, built two AI agents to test theory of mind using the Sally-Anne false-belief test. One agent, which only tracks reality, fails the test like a toddler, whil…
A developer built a 90-line AI agent that mimics sleep to consolidate memories, achieving 100% recall compared to 75% for an identical agent without sleep. The agent replays daily experiences during an idle phase, summar…
A developer built a tiny Darwin Gödel Machine in ~150 lines of code that improves its own code by editing itself and keeping only changes that verifiably increase test scores. The program started by passing 1 of 8 tasks …
A developer released an open benchmark, agent-memory-bench, that scores AI agent memory systems on four failure modes—retraction, collision, recall, and conflict—rather than shallow retrieval metrics. The benchmark runs …
A developer demonstrates how to integrate AI capabilities directly into PostgreSQL using the pgvector extension, enabling semantic search, natural language queries, and vector storage without a separate database. The app…
DeepSeek-AI released DeepSpec, an open-source codebase for training and evaluating draft models for speculative decoding, supporting three draft model algorithms (DSpark, DFlash, Eagle3) and requiring up to 38 TB of stor…
A developer proposed PAL, an open standard that gives AI agents direct control over physical hardware via a Python REPL running on an ESP32-S3. The architecture splits real-time safety-critical operations on Core 0 from …
Reinforcement Learning with Verifiable Rewards (RLVR) allows language models to bootstrap beyond human-level capabilities on exactly graded problems like coding and formal proofs, but alignment-flavored problems are ofte…
University of Auckland researcher Dr. Theo Portlock proposes training AI on gut microbiome data from discarded FIT test residuals to detect bowel cancer earlier, targeting 90% accuracy. The approach augments New Zealand'…
A developer patched llama.cpp to improve prompt processing throughput by 20% when using Multi-Token Prediction (MTP) on GPU, recovering performance lost to MTP overhead. The proof-of-concept processes only the output row…
A developer built QuadBrain-Nexus, an open-source Symbolic Pattern Learning AI for edge infrastructure that embeds physical laws into its logic instead of relying on statistical pre-training. The framework uses a 4-engin…
A developer created micrograd.ipynb, a tutorial that provides a spelled-out introduction to neural networks and backpropagation. The notebook walks through building a simple autograd engine from scratch, demonstrating th…
A developer outlines a practical approach to building an AI-powered CRM system, using machine learning for predictive lead scoring, customer segmentation, and churn prediction. The recommended tech stack includes React.j…
Shrijith Venkatramana, building git-lrc, explains that sequence transduction—transforming one sequence into another—was the original problem that led to modern large language models. Early neural networks like RNNs and L…
Chakradhar, a third-year BTech student, publicly documents his struggle to learn backpropagation as part of his journey to become an AI/ML engineer. He admits that the concept has 'broken his brain' and aims to share the…
Yanhong Li and William Merrill compare Transformers and hybrid models at the token level in a new arXiv paper, analyzing their performance and architectural differences. The study provides insights into how hybrid models…
IBM Research announced the world's first sub-1 nanometer chip technology at the 0.7nm node on June 25, 2026, using a vertically stacked 3D nanosheet architecture called 'nanostack' to overcome quantum tunneling and scale…
A developer built a dual-pool adversarial review system for AI agents that uses real engineers with searchable philosophies instead of abstract roles. The system employs a fixed pool for stability and a random pool for d…