Artificial intelligence

Qwen 4 Is in Training. You Can Already Run Its Architecture.

What’s new in Flash-Next, and the Mac and PC setups that get its long-prompt speed today.Continue reading on Towards AI »

Your AI Isn’t Hallucinating. Your Data Is Lying to It.

Most of what we call hallucination is a model faithfully repeating data we never checked

Tuning Jev as a Quality Judge: A Decision Model vs. Two Cost-Effective LLMs

First in a two-part series on tuning Jev as an LLM judge: this post covers judging response quality; the next covers judging response safety.

Meet Jev: The AI Model That Doesn’t Write, and Why Data Engineers Should Care

A plain-English guide to “System One” models, with patterns, code, and honest caveats

AI Agents Need More Than an LLM. Here’s the Full Stack

Learn the full AI agent stack: LLM, context, tools, memory, orchestration, runtime, guardrails, and observability. A clear guide to…Continue reading on Towards AI »

ChatGPT Pro $200 Cut to 10x: is a Mac Studio Worth it for Local LLMs now?

I priced 50 days of my own $200 AI plan at API rates first. The number a Mac Studio has to beat is a lot smaller than $200.Continue reading on Towards AI »

I Installed 40 Claude Skills. Three Survived.

superpowers has 291K stars — and it actively slows me down on half my work.Continue reading on Towards AI »

Redis for AI Agents: Memory, Queues, Checkpoints

Your framework is the brain. Redis is the hands. Here’s when the hands are overkill.Continue reading on Towards AI »

How to Write an Agent Eval Rubric: Why Your LLM Judge Averages 4.8 on Useless Replies

AI Models Are Starting to Communicate Without Words

Cache-to-Cache lets one LLM pass internal representations directly into another. What looks like an inference optimization may become…Continue reading on Towards AI »

How Jev Picks an Answer Without Writing One

Scoring instead of generating: what open Qwen2.5 experiments show about speed, accuracy and calibration, and how to build it on AzureContinue reading on Towards AI »

GPT-6 Astra vs Gemini 4 Argon vs Claude Fable 5.1: The Benchmark Winner Is the One You Can't Buy

Gemini 4 Argon beats GPT-6 Astra and Claude Fable 5.1 on most of the benchmark table Google published on September 30, and almost nobody…Continue reading on Towards AI »

IT Recruitment in the Age of Generative AI

For roughly the last ten years, I have participated in hiring students and full-time employees at a large corporation. I was one of several people involved in hiring for my unit. The process changed over time, but its general shape will probably sound familiar.

The memory problem OpenAI’s dots makes impossible to ignore

Compare dots, Muse, Team Bots, and Claude Managed Agents to see where memory lives, who can edit it, and how forgetting works.Continue reading on Towards AI »

The Anatomy of Clinical Triage Drift: Why Conversational AI Cannot Guard the Front Door

When an autonomous receptionist schedules an acute myocardial infarction for next Tuesday, the failure isn’t conversational intelligence — it’s architectural negligence. Here is how to engineer deterministic triage interceptors.

The 5 Coding Skills AI Still Can’t Replace

AI writes code fast, but it still can’t do these 5 things well. Here’s what separates developers AI can’t replace from developers it can.Continue reading on Towards AI »

LAI #145: What Makes an Agent Reliable?

LAI #145: What Makes an Agent Reliable? Plus, persistent AI identity, decisions without decoding, causal inference, Kubernetes triage, and RAG claim verification. Good morning, AI enthusiasts! AI …

Demystifying the Transformer: How AI Learned to Understand Context

A data engineer’s guide to the math behind ChatGPTContinue reading on Towards AI »