Thinking Machines amps up its bet against one-size-fits-all AI
with its first open model, Inkling

Thinking Machines Lab, the AI startup founded by former OpenAI CTO Mira Murati, released its first in-house AI model Wednesday morning, called Inkling. And unlike the flagship models from OpenAI, Anthropic, or Google, it’s open-weight, meaning outside developers and companies can download it and modify it directly.

Inkling is a mixture-of-experts system with 975 billion total parameters, though it only draws on a fraction of that — about 41 billion — for any given task, a common design that keeps very large models faster and cheaper to run. It was trained on 45 trillion tokens of text, image, audio, and video, and reasons natively across all four.

How to Start Writing Loops for Advanced AI Models
like Fable 5 + GPT 5.6 (Clearly Explained)

Everyone is talking about writing loops instead of prompting agents like Claude Code, Codex and Cursor. But what actually are loops and how do you write them?

In this video I break down the agent loop in simple terms so that you can start writing loops that 10x your outcomes from agents like Claude Code, Codex and Cursor - even if you're non technical.

Because loops don't just have to be for software engineering, they can also work for marketing, design, research, strategy, data analysis and much more.

This New Google Format Gives Your AI Agent a Second Brain

A few weeks ago Google Cloud announced the Open Knowledge Format, or OKF — a vendor-neutral open standard that, in their words, "formalizes the LLM-wiki pattern" into a portable folder of markdown for handing an AI agent the curated context it needs.

I pointed Codex at my own full-stack app and asked it to walk the codebase and generate a full knowledge layer: one concept per markdown file, each one pointing at where the live code actually lives rather than copying it. Around 45 concept files, cross-linked into a browsable graph. 

GPT-5.6 IS HERE! BEST AI Model Ever? Beats Fable,
Faster, & Cheaper!

OpenAI has officially launched the GPT-5.6 family with Sol, Terra, and Luna, and after extensively testing every model, it's safe to say OpenAI is back in a big way.

Meta enters the crowded AI coding battle with Muse Spark 1.1

Meta publicly launched a new version of Muse Spark on Thursday, a multimodal AI model designed for agentic coding that aims to compete with similar products offered by OpenAI and Anthropic.

Spark 1.1, the first version of which was announced in April, can engage in multistep reasoning and handle complex processes, manage digital workflows, and deploy new features in enterprise systems.

OpenAI releases new voice models for more natural live conversations

OpenAI today released new conversational models, called GPT-Live-1 and GPT-Live-1 mini, claiming that they sound more natural and can handle turn-taking better. These are full-duplex models, meaning they can speak and listen at the same time, allowing users to interrupt naturally and enabling features like live translation.

How to build a custom AI harness with Claude SDK

Everybody is saying, “It’s not the model, it’s the harness,” but almost nobody stops to explain what a harness actually is. So I did. I built one live on the show: a Sentry bug-debugging harness for my company ChatPRD, using the Claude Agent SDK, a custom terminal UI built with the Ink library, and opinionated adapters for Sentry, Linear, GitHub, and Vercel.

I also walk through the architecture, share the code structure, and give you the exact process I used so you can build your own harness for any repetitive, structured workflow in your business.