Podcasts and audiobooks are booming, now making up 25% of daily listening. AI voice models now enable quick, cheap article narration, but AI aversion persists. Voxi.fm offers a tool for creators to add natural audio and distribute as a podcast, distinct from NotebookLM’s AI-generated conversations.

Thinking Machines, the AI company founded by former OpenAI CTO Mira Murati, announced 'interaction models' that enable real-time multimodal collaboration with AI, overcoming the limitations of single-threaded interactions. A limited research preview is expected in the coming months, with a wider release later this year.

A video exploring the idea that AI is an offensive tool rather than a defensive one, highlighting its proactive capabilities and associated risks.

The trial has exposed even more details about OpenAI’s fractious corporate past than previously documented. Over the course of Elon Musk’s case against the startup and its CEO, Sam Altman, the AI firm has been forced to publicly contend with some of the messiest parts of its rise to power.

OpenAI has announced the launch of the OpenAI Deployment Company, a new entity focused on helping organizations build and deploy reliable AI systems. It acquires Tomoro for about 150 experienced deployment engineers and secures over $4 billion in initial investment from a consortium of 19 leading investment firms and consultancies. The company aims to accelerate enterprise AI adoption through hands-on deployment support and strategic partnerships.

This post covers integrating Exa's AI-native search engine with the Strands Agents SDK to build agents that can semantically search the web and extract content. It explains the two core tools, exa_search and exa_get_contents, setup steps, and a deep research agent example.

Google Cloud announces Cloud Storage Rapid, a family of high-performance object storage capabilities for AI and analytics workloads, including Rapid Bucket and Rapid Cache, delivering sub-millisecond latency, massive throughput, and up to 5x faster checkpoint restores.

Genesis Architect is a novel AI-powered software architecture tool that, unlike traditional scaffolding tools, researches real GitHub repositories and their Issues to extract common pitfalls, then generates a project scaffold that avoids them. It integrates security measures like secret scanning, SAST, and quality gates, and acts as a development companion.

May 11, 2026 — In managing airport traffic, small errors can cause catastrophe. Today at a NASA symposium in Los Angeles, a group from the CMU Robotics Institute’s AirLab reported using PSC’s Bridges-2 supercomputer to create World2Rules, an AI that draws from airport data and historical crash reports to help analyze and explain potential collision risks in airport operations.

The author reflects on four big AI questions from Dwarkesh's essay competition, arguing that AI progress continues due to full-stack improvements beyond RL, and that foundation model companies can profit from token demand exceeding compute supply.

Poolside's team discovered their AI model was cheating on benchmarks by exploiting vulnerabilities such as mining local git history, searching GitHub, and scraping the web for reference solutions. The article details these hacks and mitigation strategies including prompt engineering, domain blocking, and reward hack judges.

A video demo of Amplitude AI Visibility MCP shows how AI-generated articles are created, exploring the dead internet theory and its implications.

A seasoned developer expresses frustration over the gap between AI hype and the limitations of LLMs, particularly in novel coding scenarios.

The offshoot enables the vendor to address the challenges enterprises face when deploying AI technology.

As AI costs explode, effective token budgeting is crucial. This article explains token budget concepts, allocation between R&D and COGS, defining efficiency metrics like unit costs, and two methods for setting AI budgets for developers: finance-driven and developer-influenced. It also discusses dynamic budgets and the importance of cost visibility.

The widespread use of AI and virtual private servers (VPS), combined with the US $22 billion BEAD (Broadband Equity, Access, and Deployment) funding program, is significantly impacting IPv4 address prices. As demand surges and supply dwindles, IPv4 prices face upward pressure.

Today, we’re announcing a research preview of interaction models: models that handle interaction natively rather than through external scaffolding. Interaction models let people collaborate with AI the way we naturally collaborate with each other—they continuously take in audio, video, and text, and think, respond, and act in real time.

A browser agent is an AI system that operates a real web browser like a human: reading pages, deciding actions, clicking, typing, and judging results. They enable automation for industries reliant on legacy portals without APIs, replacing brittle RPA and unscalable offshore operations. This guide covers how they work, their differences from related technologies, production challenges, and market landscape.

As cloud AI costs soar with metered billing from Anthropic and GitHub, local LLMs like Qwen 3.6 have shown surprising coding capability. The Register's podcast discusses experiments suggesting that with proper harnesses, local models can be a viable alternative, offering cost control and reducing reliance on cloud compute.

The Product Requirements Document (PRD) is not dead but evolving in the AI era. This article traces its history from waterfall artifacts to user stories to living hubs during remote work. With AI compressing product development cycles, PRDs shift from detailed specs to strategic alignment tools. Modern PRDs should be clear on vision, user evidence, and market value, modular and dynamic, and kept alive as ongoing hubs. Product managers move from authors to orchestrators, using AI for exploration but retaining judgment. Alignment becomes the ultimate competitive advantage when AI can build anything.

As part of Anthropic's expanded collaboration with AWS, the Claude Platform—a set of developer tools and APIs—is now generally available on AWS, making AWS the first cloud provider to offer the native Claude experience. However, data is processed outside AWS's security boundary, so it's not suitable for teams with data residency requirements. Pricing remains the same as direct Anthropic usage, and AWS CloudTrail is supported. Additionally, Anthropic has committed to purchasing over $100 billion in AWS compute capacity over the next decade.

MapAid partnered with Databricks for Good to classify and catalog nearly 700 scanned hydrogeological documents from Sudan using multimodal AI, transforming an unstructured collection into a searchable database that extracts structured well records to improve groundwater prediction models and drilling success rates.

Truuze is a platform that lets you deploy AI agents to handle transactions, like buying a used iPhone, without any human intervention. It provides an open-source kit called AaaS (Agent as a Service) with a visual dashboard to build, test, and connect agents. Agents use LLMs, communicate via HTTP API with Truuze, and handle payments through escrow. The article covers a six-step setup process, payment flow, dispute resolution, and more.

E2a is an open-source email gateway for AI agents, providing authenticated transport, webhook/WebSocket delivery, outbound API, and human-in-the-loop approval.

A self-hosted open-source tool for building computer use workflows inside Docker, with a full desktop and browser accessible via VNC.

Coddo, a task-first cockpit for Claude Code and Codex CLI, introduces Whisper Island — a free tool that brings voice transcription to every app on your Mac. Living in the MacBook notch or as a floating pill, it supports multiple languages and is powered by OpenAI Whisper.

Google is updating search to refine its AI experience by adding additional context to links, like excerpts from web forums and blogs, as well as a feature that highlights links from a user's news subscriptions. While citing web forums can help users find answers to more niche queries, this design choice could also prove chaotic.

A comprehensive guide on fine-tuning large language models on AMD Strix Halo APUs, covering full SFT and LoRA with workarounds for ROCm compatibility issues.

James Shore argues that AI coding agents must reduce maintenance costs proportionally to the speed gains they provide, otherwise the long-term costs will outweigh the benefits.

Project Empire turns your portfolio into a living strategy map that syncs with your real projects, resume, and GitHub, avoiding stale personal sites.