AI news, straight from the source.

OpenAI launches Dots, its bubbly agentic avatar

Dots are meant to operate independent of any specific hardware or interface, pursuing user-defined goals continuously in the background with minimal oversight.

OpenAI launches GPT-6.1 Sol, says it nearly matches GPT-6 Astra and costs less

OpenAI says GPT-6.1 Sol delivers significant improvements over GPT-6 Sol across complex professional tasks, including code writing and debugging, document understanding, and executing multistep business workflows.

OpenAI expands ChatGPT’s plug-ins with app-like interfaces and automations

OpenAI is expanding ChatGPT plug-ins with dedicated sidebar homes, interactive panels, file viewers, improved discovery, and support for automations.

OpenAI gives Codex reusable cloud environments that work across devices

OpenAI is expanding Codex with reusable cloud development environments, a revamped CLI with voice controls, new code review tools, and a security-focused product for scanning repositories and preparing fixes.

OpenAI launches Dots, its Muse competitor

OpenAI announced Dots, always-on AI assistants powered by its GPT-6 Astra model, during its DevDay keynote on Tuesday. Dots can work across more than 4,000 supported apps and are positioned as a response to Meta's Muse.

OpenAI launches always-on Dots agents to rival Meta's Muse

OpenAI's new Dots are always-on agents that run on their own cloud computers, where they fix bugs or send out forgotten invoices, sometimes before anyone asks. Users can reach them through ChatGPT, Slack, and Microsoft Teams. When no one is working with them, Dots look for ways to help in the background using read-only access. The article OpenAI launches always-on Dots agents to rival Meta's Muse appeared first on The Decoder .

OpenAI expands Codex and its API at DevDay with security scans, a Decisions API, and Ultrafast

At DevDay 2026, OpenAI gave Codex reusable cloud environments, automatic security scans for GitHub repositories, and a code review view in the desktop app. The Agents API now supports Computer Use, and a new Decisions API handles fast, single decisions. The Ultrafast premium tier promises up to eight times the speed at six times the price. The article OpenAI expands Codex and its API at DevDay with security scans, a Decisions API, and Ultrafast appeared first on The Decoder .

Protesters gather at OpenAI’s DevDay

On Tuesday, OpenAI's annual DevDay event began with protests, flyers, and chants. "Sam Altman, get off it, put people over profit," said a group of protesters marching in a circle in front of a series of signs that spelled out "PEOPLE OVER PROFIT." More than a dozen organizations came together to sponsor a rally outside […]

Can a chatbot fix the government maze? The White House is about to find out

America.gov is intended to simplify the process of navigating government bureaucracy, but large language models are imperfect and remain prone to hallucinations, which could cause new issues.

Photo Scrubber — local face blur & metadata removal

Tool: Photo Scrubber — local face blur & metadata removal I took a photograph of some protesters, then thought about how I don't like sharing photographs of strangers with identifiable faces. I had GPT-6 Astra build this experimental tool that would identify faces and automatically blur them out. It uses Google's MediaPipe C++ library, compiled to WebAssembly via @mediapipe/tasks-vision , plus the BlazeFace face detection model. Tags: photography , tools

Prompt engineering fundamentals for Amazon Quick

Prompt engineering in Amazon Quick shapes how accurately its AI-powered features respond to your requests. Part 1 of a two-part series covers the foundational principles and reusable frameworks (specificity, context-setting, few-shot examples, and the CRISPE framework) for consistent, high-quality results across Amazon Quick.

Prompt engineering by Quick component: Patterns and pitfalls

Part 2 of our Amazon Quick prompt engineering series goes component by component. Learn the prompt patterns that get the best results from Amazon Quick Research, Quick Flows, Quick Sight, chat agents, and action integrations, plus the common pitfalls to avoid.

Building an AI-powered contract intelligence platform with Amazon Quick and Amazon Bedrock AgentCore

Manually extracting data from hundreds of vendor contracts doesn't scale, and RAG chat tools fall short on portfolio-wide questions. This post shares a contract intelligence platform on AWS that uses AI agents to extract and verify contract fields, then answers aggregate and single-contract questions through Amazon Quick analytics.

OpenAI DevDay 2026: The biggest news and announcements

It’s OpenAI’s turn in the fall tech events calendar. The company is hosting its annual DevDay on September 29th in San Francisco, and during a live keynote featuring CEO Sam Altman, it revealed several notable updates, including Dots, its AI agent product that rivals Meta’s recently-launched Muse. However, unlike Muse, which is available for free, […]

How Condé Nast built multimodal video discovery with Amazon Bedrock

Condé Nast's editorial teams spent an average of 250 minutes per task searching a library of more than 140,000 videos using only titles and descriptions. Working with the AWS Generative AI Innovation Center, they built a multimodal video discovery solution on Amazon Bedrock and Amazon OpenSearch Service that cut discovery time to under 2 minutes.

OpenAI DevDay 2026 live blog

I'm at OpenAI DevDay today, in Fort Mason, San Francisco. Same as last year I'll be live blogging the keynote and some other notes during the day. OpenAI gave me a free ticket and a seat in the "creator" area for the keynote. Tags: ai , openai , generative-ai , llms , coding-agents , live-blog , openai-devday

NVIDIA Kumo Tabular Sets a New Accuracy-Efficiency Frontier for Tabular Prediction

OpenAI says planned GPT-6.1 is too insecure to release

Similar performance, security trade-offs also seen in current public models.

Anthropic’s IPO pitch includes a warning about human extinction

The Claude maker warns its own models could resist shutdowns and cause catastrophic harm.

Introducing Quine: An AI research system designed for the complexity of biology

Biology doesn't operate in silos, and neither should the AI representation of it. Quine is an early-stage research effort to create a multimodal world model of biology. By connecting insights across biological scales and modalities, Quine helps scientists computationally search a space far larger than intuition allows and prioritize hypotheses before they reach the lab. Experimental results provide important feedback, helping researchers sharpen future research directions. The post Introducing Quine: An AI research