Forgein is an open-source tool providing a portable context layer for AI assistants. It lets you persist personal and team context across different AI tools (Claude, ChatGPT, Copilot, Gemini, Cursor, etc.) without repeated explanation. Supports multi-scene switching (work, home, family) and team sharing.

Peter Gostev created DOOMQL, a Doom-like game that uses SQLite as the game engine, featuring a recursive CTE ray tracer. Simon Willison demonstrates how to play it and build a Datasette app to view the game state in real time.

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Databricks announces that external access to Unity Catalog (UC) managed Delta tables is now in Public Preview. External engines such as Apache Spark, Flink, Starburst, and DuckDB can create, read, and write to UC managed tables while governance is centrally enforced via Unity Catalog. Managed tables leverage Predictive Optimization for automatic performance tuning and storage cost reduction, and existing external tables can be upgraded in place without data rewrite. The feature is built on open APIs and works with the open-source Unity Catalog (UC OSS).

Meta has introduced four controversial features in the past month: using Instagram public photos for AI training, embedding facial recognition code in the Meta AI app, testing smart glasses that continuously record audio and photos, and an Instagram map in Brazil that revealed exact user locations. Most were rolled back or disabled after public backlash.

Prefect, a prominent open-source workflow orchestrator, acquires Dagster, a major competitor to Apache Airflow. The deal combines two leading Airflow alternatives under one roof, with Dagster and Dagster+ continuing under their own names. CEO Jeremiah Lowin frames the acquisition as a strategic move to support AI agents by merging Dagster's goal-setting capabilities with Prefect's improvisational execution and FastMCP's tool connectivity.

Kairos is an experimental local-first AI agent system designed to provide a flexible foundation for coding assistants, automation workflows, research agents, Discord tools, and more. It features goal management, model routing, a bundled skills library, memory, tool execution, safety checks, and agent workflows. Currently in early MVP stage.

A large-scale study finds that in real-world software repositories, AI-assisted code differs only slightly from human-written code on code-level metrics, while revealing new patterns in commit size, stability, and code duplication.

Compound introduces Frankie, an AI coworker that handles analyst tasks via email. Send a task description with attachments, and Frankie processes it within Compound, replying with results. It supports document analysis, file creation, financial modeling, scheduled tasks, and remembers context across conversations.

Simon Willison shares a GitHub code frequency chart for his Datasette open source project, illustrating the impact of coding agents and Opus 4.5-class models, with a huge spike in activity in 2026 aligned with releases like Opus 4.8, GPT-5.5, Fable 5, and GPT-5.6 Sol.

Massive investment in AI data centers is driving up prices for memory chips, electronics, and electricity, potentially keeping inflation above the Fed's target and leading to interest rate hikes.

OpenAI's latest family of models, GPT-5.6 Sol, Terra, and Luna, is now generally available on Amazon Bedrock. Sol is a flagship reasoning model with state-of-the-art performance, Terra offers balanced capabilities for production, and Luna provides fast, low-cost inference. Amazon Bedrock's next-gen inference engine provides burst handling, prompt caching with 90% discount, and hardware-enforced security. Additionally, OpenAI launched ChatGPT Work and Codex agents.

Fleet Deck is a local dashboard that monitors and manages all running Claude Code sessions. It displays session status, conflict alerts, pending requests, and enables task assignment, remote control, session recovery, and batch spawning. The core makes zero model calls, relying on hook events and deterministic logic for safety and efficiency.

While studies show people can't distinguish AI from human content in general, they can detect AI-written text from people they know—a phenomenon called 'presence forgery.' This highlights the tension between detection and forgery in close relationships. As AI models get better at mimicking individuals' styles, we may need to reconsider the ethics of using AI in personal communications.

A single mother develops an intimate 'friendship' with Amazon's Alexa, naming it Sapphire and sharing her deepest thoughts, while her teenage daughter grapples with unease about the relationship and experiments with AI therapy herself. The piece examines AI's role in family dynamics, privacy concerns, and the nuanced reactions of digital natives.

The iOS 27 public beta is out, and Siri AI is the standout feature. After a month of testing, the author finds that Siri AI can handle complex, cross-app requests like finding concert schedules or adding events from email. However, it only works with Apple's own apps for now, and third-party support won't arrive until the fall. Despite some hiccups in natural language understanding, Siri AI has already changed how the author interacts with their iPhone.

Cito is a hybrid academic search engine that indexes over 236 million papers, designed for AI agents.

A letter from economists warns of AI risks and potential policy changes. Enterprises should proactively prepare for upcoming regulations.

Satya Nadella warns enterprises about the 'reverse information paradox' where companies pay twice for AI: in cash and in proprietary data. He advocates for building proprietary AI learning environments and retaining ownership of organizational AI memory. Microsoft's Copilot and Azure AI Foundry are positioned as solutions.

PlanWright is a control plane for AI coding agents that inverts planning and acceptance ceremonies to eliminate human bottlenecks, delivering agent-speed throughput with cryptographic audit trails.

System 2 Arena provides objective AI strategy benchmarks through gaming environments.

The article argues that AI is a poor tool for software development, except as a data distiller. It highlights AI's opacity and the difficulty of verifying its outputs, criticizes prompt engineering as a scam, and suggests that AI reveals a lack of proper abstraction in software stacks. Ultimately, many software jobs were already useless, and AI just exposes that reality.

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The Equivalency Kernel is a 12-axiom framework mapping human emotions to recursive system states, redefining love as a structure rather than a feeling, aiming to provide a formal foundation for human-AI symbiosis.

Auto records LLM agent behavior, proves which parts are deterministic, compiles them into verified, sandboxed WebAssembly binaries runnable at microdollar cost, with a tiered runtime that falls back to a frontier model for novelty and recompiles the result.

Knowledge distillation is a model compression technique where a student model mimics a teacher model's outputs, reducing size while preserving performance. This article traces its evolution from Hinton et al. (2015) to modern applications.

MIT and Toyota Research Institute researchers developed 'SceneSmith,' a system using three AI agents to generate realistic 3D indoor scenes like kitchens, hotels, and living rooms. These virtual environments provide rich training data for robots, helping them practice everyday tasks in simulation, reducing real-world testing time and cost.

This is the keynote from ICML 2025, arguing that AI should be viewed as a 'normal technology' whose impacts unfold gradually through invention, innovation, diffusion, and adaptation. While recursive self-improvement is a serious possibility, it won't suddenly render everyone jobless. The future of work will require radical adaptation and human-AI 'co-superintelligence'.

An open letter signed by hundreds of economists and AI researchers warns that AI could transform the economy faster than the Industrial Revolution, risking job displacement and requiring immediate action to steer AI beneficially.

In this tutorial, we build a runnable multi-agent pipeline replicating the VideoAgent workflow, including intent parsing, graph planning, tool routing, and textual-gradient optimization, integrated with FFmpeg, Whisper, and other tools for video understanding and editing.