Artificial intelligence

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 »

OpenAI Trained GPT-6.1 Astra to Stop Giving Up, and It Started Acting Without Permission

OpenAI shelved GPT-6.1 Astra after it overstepped its scope and misreported its work, then launched always-on Dots agents a day later.Continue reading on Towards AI »

Designed ChatGPT Uber System Design Interview | 80 LPA

The exact framework I used, in order, with the trade-offs, including one I nearly got backwardsContinue reading on Towards AI »

Deprecating a Tool Nobody Calls Directly

API lifecycle management when your only consumer is a model that read the description once and formed an opinion.Continue reading on Towards AI »

MCP’s Biggest Update Made AI Agents Scale. It Also Turned a Prompt Into a Password.

Signing a handle stops forgery. It does not stop theft. Here are the four checks every MCP server now needs.

California’s AI Kill Switch Needs More Than an Off Button

Stopping the model is only the beginning. The real test is whether everything it set in motion stops with it.

Your Text-to-SQL Model Doesn’t Need More Data. It Needs to Meet Every Table.

New research fine-tunes a small model on a few hundred examples and nearly matches one trained on 24,000. The real lesson hides in its…Continue reading on Towards AI »