OpenAI is expanding Codex with role-specific plugins for data analysis, sales, and investment banking. Five million people use the tool each week, and one in five isn't a developer, the company says. That non-developer group is growing three times faster than the developer base, a sign that OpenAI is positioning Codex as an all-purpose work app.

President Donald Trump signed an executive order Tuesday creating a "voluntary framework" for AI companies to share their frontier models with the federal government before they're released "to promote secure innovation and strengthen the cybersecurity of critical infrastructure."

Nvidia announced the RTX Spark CPU at Computex 2026, targeting laptops from major brands like Microsoft, Dell, Asus, and MSI. The Arm-based chip boasts up to 1 petaflop of AI performance and 128GB unified memory, with models starting this fall priced over $2,000.

Simon Willison sighted a California Brown Pelican diving into the water behind the venue at the Microsoft Build conference at Fort Mason, San Francisco.

Microsoft announced MAI-Thinking-1, a new flagship reasoning model trained on clean data from scratch, along with several other models for image generation, transcription, voice, and coding. The move signals Microsoft's growing independence from OpenAI.

Anthropic's IPO signals generative AI's shift from research-focused venture to stable enterprise utility, with implications for pricing, licensing, and market consolidation.

Google is launching a new feature for its Phone app that uses end-to-end encrypted RCS to detect AI impersonation scams. It flags calls that appear to be from your contacts but are actually from scammers. The FBI reports Americans lost over $893 million to AI scams in 2025. The feature is default-on for Android 12+ Pixel phones and requires both parties to use Google Phone. Other updates include kids' safety, AirDrop support, AI try-on, and more.

Microsoft launches Scout, an always-on AI assistant integrated with Microsoft 365, enabling task automation like scheduling and expense reporting. It monitors traffic and calendar, learns from Teams and email, and is built on OpenClaw. Desktop preview available now for US Frontier customers.

TinyFish has released BigSet, an open-source multi-agent system that turns plain-English descriptions into structured, exportable datasets. The system infers a schema, dispatches research agents to the live web, deduplicates results, and provides CSV/XLSX downloads with scheduled refresh. Users can describe data in one sentence and get a table in minutes.

GitHub faces unprecedented growth from AI code generation, leading to outages. The company is scaling infrastructure, moving to Azure, and rebuilding core systems to restore reliability.

At its Build developer conference, Microsoft announced a slew of new features aimed at developers, including a developer-optimized Windows 11 experience with dark mode on by default, pre-configured tools, native Unix utilities in PowerShell, WSL containers, an Intelligent Terminal with an agent pane, and policy-driven execution containers for running AI agents. The company is also expanding Windows AI APIs to CPUs and GPUs and introducing two on-device AI models. These moves are designed to lure developers away from Mac and Linux by reducing distractions and providing a familiar environment.

Microsoft unveils Intelligent Terminal, an experimental feature that brings AI agents directly into the Windows 11 shell. It supports GitHub Copilot, Claude Code, and other ACP-compatible agents, detects errors, and suggests fixes with a single click, streamlining developer workflows.

Anthropic's Claude Managed Agents provide a fully hosted platform for running AI agents without managing infrastructure. This article covers features, pricing, latest updates, and a step-by-step guide to building an agent.

Deep Agents' RubricMiddleware adds a self-evaluation loop to your agent runs. Set a rubric, configure a grader, and get reliable outputs on tasks where correctness matters.

This article explores the real-world utility and limitations of AI in data analysis. AI significantly speeds up code writing and data asset development, but its ability to answer ad hoc data questions and analyze metric changes suffers from inconsistency (around 86% accuracy) and requires extensive data preparation. AI cannot replace the judgment, context, and institutional knowledge that human analysts provide. The author advocates a balanced approach: leverage AI where it helps, but remain clear-eyed about its shortcomings.

This post explores balancing domain performance with general capabilities when fine-tuning models on Amazon Nova Forge. It covers data mixing, learning rate selection, checkpoint choices, and common mistakes to avoid expensive training failures.

This post walks through implementing object detection with Amazon Nova 2 Lite using Amazon Bedrock, AWS Lambda, and API Gateway. Learn to craft prompts, process JSON output, and visualize results. Covers real-world applications in manufacturing, agriculture, and logistics.

Microsoft announced Project Solara, a new OS for AI agent gadgets at Build 2026. It runs on Android, not Windows. Two concept devices (desk and badge) were shown. Microsoft will not ship them but offers as reference designs. Companies like AccuWeather, Best Buy, CVS Healthcare, and Target plan pilots.

Refer Me launches an AI resume tailoring tool that automatically optimizes your resume for any job description, increasing your chances of passing ATS screening and standing out to employers.

The CVE AI Agent is an autonomous vulnerability intelligence engine that continuously ingests, enriches, and triages CVE data, delivering findings to platforms like n8n, Jira, Slack, Splunk, or local file exports. It features a token-efficient architecture using deterministic minimization logic to filter noise, with prompts averaging 1,000 tokens. The agent follows a strict Two-Pass architecture: Pass 1 extracts all measurable data deterministically, and Pass 2 uses an LLM to fill qualitative sections. It supports multiple LLM providers, including Gemini, OpenAI, Claude, Groq, and Ollama, and offers a web dashboard.

A development flag left in production allowed any app on an Android device to silently take over a Microsoft account. The issue has been patched; update your apps now.

EchoFlow is an open-source, native Android AI chat app that stores conversations locally, uses Material Expressive design, and is powered by OpenRouter with no tracking.

Agentic BI embeds autonomous AI agents into the analytics workflow to automate data preparation, query execution, and insight delivery, replacing the static dashboard model that leaves over 40% of organizations dissatisfied. A governed semantic layer is foundational for trust. BI teams and business users can adopt agentic BI incrementally, starting with a single business unit pilot.

Microsoft's Work IQ could make enterprise AI agents dramatically smarter, but the shift to agent-first IT brings serious questions about cost, governance, data exposure, and operational risk.

GitHub COO Kyle Daigle discusses how AI agents are reshaping software development, from infrastructure strain to the future of Copilot. AI-driven code growth of 1400% stresses GitHub's CI/CD, open source maintenance, and code review. Daigle shares his internal use of AI for retrospectives, communication, and decision-making, and outlines Copilot's evolution from completion to cloud agents.

Microsoft unveiled the Surface RTX Spark Dev Box at Build 2026, a compact desktop with Nvidia's Blackwell-architecture RTX Spark processor and 128GB unified memory, delivering 1 petaflop of AI compute. It allows developers to run models over 120 billion parameters locally, challenging the per-token cloud pricing model.

Frontier AI models like Mythos and GPT-5.5 can uncover real vulnerabilities, but enterprise-ready offensive security requires much more than finding bugs, including coverage, validation, safety, governance, and operational integration.

This guide explores the gap between LLM coding benchmarks and real-world production performance. It categorizes popular benchmarks (HumanEval, SWE-bench, Aider Polyglot, etc.) and explains what each actually measures. The article presents a five-step evaluation framework: define quality criteria, select matching benchmarks, run internal evaluations, use weighted scoring, and establish ongoing evaluation. It warns against common pitfalls like over-relying on a single benchmark, ignoring execution-based evaluation, and neglecting infrastructure overhead. The key takeaway: internal evaluation sets built from your actual codebase are the most reliable predictor of production success.

Microsoft unveils the Surface RTX Spark Dev Box, a mini PC for developers powered by Nvidia's Arm-based RTX Spark chips with 128GB unified memory, capable of running up to 120 billion parameter models locally. Pre-configured with dev tools like VS Code and GitHub Copilot, it replaces Qualcomm's canceled Snapdragon Dev Kit and will be available later this year.

Trump signed an executive order creating a voluntary framework for the federal government to vet powerful AI models before public release, up to 30 days in advance, aiming to tighten control over cybersecurity and national security threats, marking a shift from his deregulatory stance.