Large language model (LLM) news — GPT-4, Claude, Gemini, Llama, Mistral and the latest research on training, fine-tuning, RLHF, and deployment of LLMs.
A tutorial shows developers how to give AI agents persistent long-term memory using Postgres with the pgvector extension and OpenAI embeddings, eliminating the need for external vector databases. The approach stores conv…
A developer identified that LLM agents routinely skip steps in multi-step pipelines, with benchmarks showing compliance rates as low as 30-50% for models like Claude-3.5-Sonnet and Gemini-2.0-Flash. The Visible Checklist…
A developer reflects on the rapid evolution of AI, noting that while models like GPT-3.5 seemed revolutionary in 2022, they now appear primitive. The developer questions the future role of software engineers as autonomou…
A developer argues that modern AI systems, particularly large language models, lack practical wisdom (phronesis) as defined by Aristotle, because they cannot deliberate about particulars, lack lived experience, and have …
Vasilis Stergiou launched the daïmōnes blog, a project that combines Aristotelian philosophy with artificial intelligence to build a knowledge engine. The blog will cover technical deep-dives, philosophical explorations,…
A developer at daïmōnes built an AI that reads Aristotle directly from polytonic Greek manuscripts, arguing that corporate AI tools like ChatGPT produce sanitized summaries that strip away textual complexity and philosop…
A developer built MedMemory, a privacy-first MCP server that stores personal health data in an AES-256 encrypted local SQLite database and uses Gemini Vision to extract structured information from medical documents. The …
Uber's AI team exhausted its 2026 budget by April, highlighting a widespread cost crisis in agentic AI deployments. A developer reports cutting agent pipeline costs by 74% using a routing architecture that avoids sending…
Mistral AI released Leanstral 1.5, an open-source model for formal verification in Lean 4, achieving 100% on the miniF2F math benchmark and solving 587 of 672 Putnam problems. The model also caught five real bugs in open…
Researchers from NUS, Tencent Youtu Lab, and Tsinghua introduced MACT, a multi-agent collaboration framework for visual document understanding that decomposes the task into four specialized agents—planning, execution, ju…
AI coding agents fail not because of code generation but because of incomplete specifications, as organizational knowledge is scattered across disconnected systems. The real bottleneck is the lack of a coherent, machine-…
Siebel developer Eshita Nandy switched from GitHub Copilot to Claude for her CRM project after Copilot failed to handle Siebel's proprietary eScript language. She found Claude provided accurate debugging and explanations…
A new blog series on generative AI and deep learning begins by explaining backpropagation and matrix calculus through code, building a three-layer neural network from scratch using NumPy. The series aims to demystify the…
A team deployed an AI document processing pipeline that achieved 95% field accuracy on tested invoices but later failed silently on unseen layouts, causing a four-month reconciliation mess. The failure stemmed from layou…
A user testing Fable 5 on Claude.ai was blocked from asking 'Why don't cats and dogs get along?' and automatically switched to Opus 4.8 due to overly broad safety safeguards that flagged the harmless question as a potent…
Researchers introduced the Predictive Confidence in Reward Learning (PCL) algorithm, which enables large language models using reinforcement learning to assert confidence during training and adapt to dynamic environmenta…
Anthropic published an essay revealing that over 80% of its production code is now written by Claude, with engineers shipping roughly eight times more code than in 2024. The essay argues that as AI automates code executi…
A developer explains that function calling is the core mechanism enabling AI agents to perform external actions like sending emails or querying databases. The quality of tool definitions—name, description, and parameter …
Qwen open-sourced the 35-billion parameter Mixture of Experts model Qwen 3.6-35B-A3B, which activates only 3 billion parameters per token and runs on a $599 Mac Mini M4 with 16GB RAM at 17 tok/s with zero swap. The model…
OrinIDE v1.0.8, an AI-powered code editor that runs entirely in the browser without cloud accounts or subscriptions, now supports offline AI models via Ollama and introduces a 4-agent workflow for planning, building, rev…