Topic

AI Models & Tools

Coverage of the models and products people actually use: new releases from OpenAI, Anthropic, Google and the open-weight labs, plus the assistants, agents and developer tools built on top of them.

Each story explains what shipped, what changed from the previous version and who it is for, so you can decide whether a release is worth your time.

Showing 37–48 of 123 articles

RSS feed

Page 4 of 11

Large Language Models
PathCal reflection-marker calibration explained
PathCal reflection-marker calibration aims to improve reasoning efficiency in large reasoning language models by calibrating chain-of-thought signals.
May 25, 20266 min read
Claude Code
Integrating Claude Code with Agno for multi-agent control
Integrating Claude Code with Agno: a production-minded guide to role-based agents, scoped permissions, hooks, and auditability.
May 24, 20267 min read
Claude Code
Mythos in Claude Code Signals a New Anthropic Model Push
Mythos in Claude Code may point to a new Anthropic model release tied to Claude Security. Here's what the evidence likely means.
May 24, 20266 min read
Claude Code
Claude Code Prompt Caching Explained for Lower API Costs
Claude Code prompt caching explained: why cache misses cost more, five actions that trigger them, and how to reduce Claude Code API costs.
May 24, 20268 min read
Multimodal AI
Vision LLM vs OCR for PDF Question Answering Benchmarked
Vision LLM vs OCR for PDF question answering on long, image-heavy PDFs: benchmark results, costs, latency, and failure modes.
May 24, 20267 min read
Claude Code Workflows
How to use Claude Code correctly for real dev work
How to use Claude Code correctly: stop chatting, start tasking, and improve coding results with constraints, tests, and workflow design.
May 23, 20269 min read
Large Language Models
LLMs are probability machines: why they still seem to think
Understand why LLMs are probability machines, how token prediction works, and why AI models still appear startlingly intelligent.
May 23, 20266 min read
Multimodal AI
Same prompt ChatGPT vs Gemini image results explained
Why same prompt ChatGPT vs Gemini image results differ: image limits, safety tuning, hidden prompts, and how to adapt prompts better.
May 22, 20268 min read
Multimodal AI
Multimodal AI Limitations: When LLMs Shouldn’t Do Everything
Multimodal AI limitations explained: when unified LLMs work, when modular pipelines win, and how to design for cost, latency, and reliability.
May 22, 20269 min read
AI Chatbots
Claude vs ChatGPT 2026: which AI chatbot wins?
Claude vs ChatGPT 2026: compare writing, coding, pricing, context windows, enterprise use, and which chatbot fits your work.
May 21, 20267 min read
Claude Ecosystem
Made With Claude Evolution of Intelligence Explained
Made with Claude Evolution of Intelligence explained: what the project is, why people noticed it, and how it fits Anthropic's creator push.
May 10, 20267 min read
Foundation Models
Can AI feelings emerge from training pressure? A serious theory
Can AI feelings emerge from training pressure? A grounded look at emergent affect-like behavior, Claude, RLHF, and simple tests.
May 10, 20267 min read

PathCal reflection-marker calibration explained

Integrating Claude Code with Agno for multi-agent control

Mythos in Claude Code Signals a New Anthropic Model Push

Claude Code Prompt Caching Explained for Lower API Costs

Vision LLM vs OCR for PDF Question Answering Benchmarked

How to use Claude Code correctly for real dev work

LLMs are probability machines: why they still seem to think

Same prompt ChatGPT vs Gemini image results explained

Multimodal AI Limitations: When LLMs Shouldn’t Do Everything

Claude vs ChatGPT 2026: which AI chatbot wins?

Made With Claude Evolution of Intelligence Explained

Can AI feelings emerge from training pressure? A serious theory