AI agents often fail not because they lack intelligence, but because they lack memory, a critical issue that requires distinct solutions. The problem of forgetfulness in AI systems is highlighted as a…
A new guide explains essential Markdown files—AGENTS.md, SKILL.md, DESIGN.md—that coding agents need, covering real sources, security risks, and copyable templates.…
A PhD student shares the journey of getting their first top-tier AI conference paper accepted, detailing the challenges of failed experiments and extensive revisions.…
Moltbook, a platform featuring AI agents, sparks debate over consciousness, but the real question is the mathematical nature of these agents, according to a new article on Towards AI.…
A new article highlights six advanced LangGraph concepts that can distinguish developers from the majority, emphasizing that most developers struggle after copying basic tutorials. The piece aims to h…
Georgi Gerganov, creator of llama.cpp, predicts that 90% of AI agents will move from cloud to local inference. He demonstrated running a 70B-parameter model locally with a single command, highlighting…
MotherDuck's serverless DuckDB platform saved a five-person finance team $12,000 per year on analytics costs by replacing Snowflake, reducing monthly bills from $1,800 to under $800 while delivering s…
A new article on Towards AI explains how developers can run multiple Claude Code sessions in parallel to improve coding efficiency, arguing that sequential execution wastes potential.…
A developer shares hard-won solutions to two persistent LLM problems—hallucinations and memory loss—explaining that these issues are inherent to model architecture and offering practical fixes.…
A new guide on Towards AI explains 25 core AI concepts in simple, jargon-free language, aiming to make the technology accessible to general readers.…
A developer details their local AI coding setup, including laptop specs, Ollama configuration, Qwen model, and VS Code workflow, sharing what runs well locally.…
Higgsfield's hype is genuine, but not for the reasons touted by TikTok creators who claim to have canceled their editors. The platform's true value lies elsewhere, according to a critical analysis on …
A new article argues that training data for AI can never be completely free of bias, shifting the focus to understanding and choosing which biases to accept. The piece emphasizes the importance of awa…
A new approach to AI agent memory focuses on making research, notes, and sources reusable across sessions rather than just providing more context. The technique aims to improve agent efficiency by pre…
A tutorial demonstrates building Andrej Karpathy's LLM Wiki pattern using Obsidian as the interface and Claude Code as the programmer to create a markdown wiki.…
A new guide details how to deploy scalable AI agents using FastAPI, Docker, orchestration workflows, and enterprise-ready architecture, providing a practical approach for building production-ready age…
A 428-billion-parameter open-weight model achieved 59.0% on SWE-Bench Pro, outperforming GPT-5.5's 58.6%, after being compressed from 855GB to 128GB. The model's efficiency and performance mark a sign…
A developer published an end-to-end walkthrough on building a Slack AI agent using Claude's web-search tool, covering Socket Mode, tool use, Block Kit, cost math, and pitfalls encountered.…
A small, energy-efficient AI model (3B parameters) has matched the performance of the much larger Opus 4.5 model in mathematics and coding tasks, challenging assumptions about the necessity of massive…
Microsoft released seven in-house AI models and a 100-page report detailing their refusal to use synthetic data and removal of AI-generated content before training. The report challenges other labs to…