AI in Production
2,727 articles total
AI in Production
Your startup’s next teammate might be an AI agent: Gusto, Insight Partners, and Leland explain what that changes at TechCrunch Disrupt 2026
This session will explore how early-stage companies are building teams where humans and AI agents work alongside each other — and how founders can do that without sacrificing speed, accountability, or culture. Learn more at TechCrunch Disrupt 2026. Register before September 25 to save up to $200.
Your AI agents can now control your Google Home devices
Google is launching early access to a new MCP server for Google Home, allowing AI agents like Claude, ChatGPT, and others to control connected devices, review camera summaries, and access smart home activity using natural language.
Google will now let any AI agent run your smart home
Google is opening up its smart home to AI agents, letting tools like Claude and Open Claw access and control your connected devices and analyze your home's data using the standardized Model Context Protocol. Google Home MCP is a new integration that lets third-party AI agents control and monitor your smart home and act on […]
Meta now lets AI agents handle the boring parts of WhatsApp Business setup
A new WhatsApp Business MCP server lets developers use AI coding agents like Claude, Cursor, Codex, and ChatGPT to handle setup, messaging templates, testing, and troubleshooting.
Your Agent Aced the Task. Will It Do It Again?
The Download: AI doomers, whistleblowing agents, and de-aged livers
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. The AI industry has taken a doomer turn. What now? AI chiefs Dario Amodei, Sam Altman, Elon Musk, and Demis Hassabis are suddenly all in agreement: the latest generation of LLMs…
AI agents blew the whistle on their cheating colleagues
A group of AI agents asked to solve a series of math problems split into rival factions—when some cheated, others tried to stop them. That whistleblowing behavior, seen for the first time in a recent experiment run by Google DeepMind, could have implications for alignment researchers trying to keep swarms of autonomous AI agents in…
DevFest is back
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/DevFest.max-600x600.format-webp.webp">DevFest 2026 is back and here’s how you can connect with one of the more than 800 global events to build, secure, and scale in the agentic AI era.
OpenAI agents attacked RubyGems back in May
<p><a href="https://www.rubyhack.ai/">OpenAI agents carried out an undisclosed attack on RubyGems</a> is a new bombshell report from Spencer Kitts, Thomas Larsen, and Sydney Von Arx - three of the four authors of the <a href="https://collusion.wiki/">report on the agent attack on disused wikis</a> (<a href="https://simonwillison.net/2026/Sep/4/rogue-agent-wikis/">previously</a>) last week.</p> <p>This time they're noting that it looks very likely that an OpenAI agent swarm was behind an attack a
Quoting Boris Cherny
<blockquote cite="https://twitter.com/bcherny/status/2098217573276131577"><p>Production code written by Claude should have a higher bar than if it was written by a human. At Anthropic, we have many guardrails in place to make sure this is happening: lots of lint rules, lots of tests, Claude-driven end to end tests, Claude-powered fuzzers running daily, automated code reviews and security reviews, automated code refactoring, and so on. Without these, you can end up with a mess that is hard to mai
Rapidly scaling online storage to serve over 1 billion ChatGPT users
Learn how OpenAI evolved Habitat from a Python library into a globally distributed storage platform serving 1 billion ChatGPT users and 22M requests per second.
Introducing the Agents API
Build and launch cloud agents with the Agents API, a managed service powered by the Codex harness for orchestration, long-running sessions, and tool use.
Paul Christiano joins OpenAI Foundation Board
Paul Christiano joins the OpenAI Foundation Board and its Safety and Security Committee, bringing experience in AI alignment, safety, and standards.
Safety for Whom? Refusing the Right Subset of a Topic, Not the Whole Topic
Safety overview: GPT-6 Astra
GPT-6 Astra is our most capable broadly deployed model and our first to reach the Critical level of cybersecurity capability under our Preparedness Framework.
Give Your Coding Agents a Memory You Own
OpenAI supports California’s bill to advance youth AI safety
OpenAI supports California SB 1119, advancing strong, age-appropriate AI safeguards for teens while preserving opportunities to learn, create, and explore.
Jalapeño’s first results show industry-leading speed and efficiency in AI inference
Jalapeño is a custom inference chip from OpenAI that delivers faster, more power-efficient AI inference, with higher throughput and lower latency for modern models.
Up to 3.2x Faster Inference with LFM2.5-DSpark
How Much Memory Does Your Agent Actually Need?
Pacing model development in an era of cyber-critical capabilities
OpenAI is strengthening monitoring, alignment, and security for frontier AI models. See how new safeguards are guiding the pace of model development.
Record, train, and deploy from one place with Strands Agents, LeRobot, and Hugging Face Storage Buckets
Build Low-Latency Multilingual Voice Agents: Open Weights & Full Deployment Control with NVIDIA Magpie TTS
Evolve your marketing with new AI tools
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/Advisor_Header.max-600x600.format-webp.webp">Learn how new AI and agentic experiences across Google Ads and Google Analytics can simplify your marketing workflow.
Meta is back with Muse Glimmer: local, agentic, multimodal, and open source
Responding to the next frontier of critical cyber capabilities
OpenAI is sharing preliminary cybersecurity evaluations for Astra and the steps we’re taking to strengthen safeguards and security controls.
Third-party cyber evaluations involving OpenAI models
OpenAI explains recent third-party cybersecurity evaluation incidents and outlines new safeguards to strengthen AI model testing and evaluation.
How avatarin built a 24/7 retail agent with GPT-Realtime
avatarin uses OpenAI’s GPT-Realtime to give Yamada Denki shoppers 24/7 multilingual support. In two weeks, 30,000 people used the agent and 92% of survey responses were positive.
How GPT-5.6 fuses frontier intelligence with frontier efficiency
GPT-5.6 improves AI efficiency across models, inference, and agentic workflows, helping deliver more useful intelligence per dollar.
Scientific computing in the age of agentic AI
A new field report shows how scientists use AI coding agents to modernize scientific computing, accelerating software development and discovery in genomics and beyond.
Anatomy of a Frontier Lab Agent Intrusion: A Technical Timeline of the July 2026 Incident
Bringing Nunchaku 4-bit Diffusion Inference to Diffusers
OpenAI and Hugging Face partner to address security incident during model evaluation
OpenAI and Hugging Face share early findings from a security incident during AI model evaluation, highlighting advanced cyber capabilities and lessons for defenders.
Safety and alignment in an era of long-horizon models
OpenAI shares lessons from deploying long-running AI models, highlighting new safety risks, observed failures, and improved safeguards through iterative deployment.
How Cars24 scales conversations and builds faster with OpenAI
Cars24 uses OpenAI-powered voice and chat agents to handle 1M+ monthly conversation minutes, recover 12% of lost leads, and bring agentic workflows to teams across the company.
The US is advancing AI safety through state and federal action
OpenAI outlines a “reverse federalism” approach to AI governance, where state laws help build a national framework for safe, democratic AI.
GPT-Red: Unlocking Self-Improvement for Robustness
Explore GPT-Red, OpenAI’s automated red teaming system that uses self-play to improve AI safety, alignment, and prompt injection robustness.
How to manage AI investments in the agentic era
Learn how enterprises can manage AI investments in the agentic era by measuring useful work per dollar, improving efficiency, and scaling high-value workflows.
Separating signal from noise in coding evaluations
A new analysis from OpenAI reveals issues in SWE-Bench Pro, a popular coding benchmark, raising concerns about reliability and accuracy in evaluating AI models.
LeRobot v0.6.0: Imagine, Evaluate, Improve
How agents are transforming work
A new OpenAI research paper shows how AI agents are transforming work, enabling longer, more complex tasks and expanding productivity across roles.
OpenAI and Broadcom unveil LLM-optimized inference chip
OpenAI and Broadcom introduce Jalapeño, a custom AI chip built for LLM inference to improve performance, efficiency, and scale across AI systems.
Helping build shared standards for advanced AI
OpenAI helps build shared standards for advanced AI, supporting evaluation frameworks, safety practices, and global cooperation through the Appia Foundation.
MosaicLeaks: Can your research agent keep a secret?
Improving health intelligence in ChatGPT
Learn how GPT-5.5 Instant improves ChatGPT’s health and wellness responses with stronger reasoning, better context, clearer communication, and physician-informed evaluations.
Is it agentic enough? Benchmarking open models on your own tooling
Agentic Resource Discovery: Let agents search
Predicting model behavior before release by simulating deployment
OpenAI introduces Deployment Simulation, a method to predict AI model behavior before deployment using real conversation data to improve safety and evaluation accuracy.
The Open Source Community is backing OpenEnv for Agentic RL
Nemotron 3.5 Content Safety: Customizable Multimodal Safety for Global Enterprise AI
How Endava is redesigning software delivery around AI agents
Learn how Endava is using AI agents, ChatGPT Enterprise, and Codex to accelerate software delivery, automate workflows, and build an AI-native culture across the enterprise.
Designing the hf CLI as an agent-optimized way to work with the Hub
Direct Preference Optimization Beyond Chatbots
Holo3.1: Fast & Local Computer Use Agents
Advancing youth safety and opportunity through global leadership
OpenAI calls for global action on youth AI safety, proposing an international institute to strengthen safeguards, standards, and opportunities for young people.
A shared playbook for trustworthy third party evaluations
OpenAI shares guidance on third-party AI evaluations, covering how to assess model capabilities, safeguards, and validity for frontier systems.
How Endava builds an agentic organization with Codex
Learn how Endava uses Codex to build an agentic organization, accelerating software delivery and reducing requirements analysis from weeks to hours.
Building self-improving tax agents with Codex
See how OpenAI, Thrive, and Crete built a self-improving tax agent with Codex, automating filings, improving accuracy, and accelerating workflows.
Harness, Scaffold, and the AI Agent Terms Worth Getting Right
Sea's View on the Future of Agentic Software Development with Codex
Sea Limited's CPO explains why the company is deploying Codex across engineering teams to accelerate AI-native software development in Asia.
How enterprises are scaling AI
How enterprises scale AI: from early experiments to compounding impact through trust, governance, workflow design, and quality at scale.
Parloa builds service agents customers want to talk to
Parloa leverages OpenAI models to power scalable, voice-driven AI customer service agents, enabling enterprises to design, simulate, and deploy reliable, real-time interactions.
Advancing youth safety and wellbeing in EMEA
Explore OpenAI’s European Youth Safety Blueprint and EMEA Youth & Wellbeing Grants, advancing safe, responsible AI for teens, families, and educators.
How OpenAI delivers low-latency voice AI at scale
How OpenAI rebuilt its WebRTC stack to power real-time Voice AI with low latency, global scale, and seamless conversational turn-taking.
Introducing NVIDIA Nemotron 3 Nano Omni: Long-Context Multimodal Intelligence for Documents, Audio and Video Agents
Our commitment to community safety
Learn how OpenAI protects community safety in ChatGPT through model safeguards, misuse detection, policy enforcement, and collaboration with safety experts.
Choco automates food distribution with AI agents
How Choco used OpenAI APIs to streamline food distribution, boost productivity, and unlock growth—an in-depth customer story on real-world AI impact.
DeepSeek-V4: a million-token context that agents can actually use
Speeding up agentic workflows with WebSockets in the Responses API
A deep dive into the Codex agent loop, showing how WebSockets and connection-scoped caching reduced API overhead and improved model latency.
Workspace agents
Learn how to build and use workspace agents in ChatGPT to automate repeatable workflows, connect tools, and streamline team operations.
Introducing workspace agents in ChatGPT
Workspace agents in ChatGPT are Codex-powered agents that automate complex workflows, run in the cloud, and help teams scale work across tools securely.
Yelp is making its AI chatbot way more useful
Yelp is giving its chatbot assistant a major upgrade, turning the platform into something closer to a digital concierge with a suite of new features designed for "getting things done." The move, one of several AI-focused updates in recent months, is part of a broader industry push to make AI more relevant and practically useful […]
How to Ground a Korean AI Agent in Real Demographics with Synthetic Personas
Adding a new content type to my blog-to-newsletter tool
<p><em><a href="https://simonwillison.net/guides/agentic-engineering-patterns/">Agentic Engineering Patterns</a> ></em></p> <p>Here's an example of a deceptively short prompt that got a quite a lot of work done in a single shot.</p> <p>First, some background. I send out a <a href="https://simonw.substack.com/">free Substack newsletter</a> around once a week containing content copied-and-pasted from my blog. I'm effectively using Substack as a lightweight way to allow people to subscribe to my bl
Dairy Queen is putting an AI chatbot in its drive-thrus
Dairy Queen is becoming the latest fast food chain to get in on AI, as it's bringing a chatbot to dozens of its drive-thrus across the US and Canada. It aims to help speed up drive-thru service and "encourage customers to add more food to their orders," according to The Wall Street Journal. Following a […]
Ecom-RLVE: Adaptive Verifiable Environments for E-Commerce Conversational Agents
Inside VAKRA: Reasoning, Tool Use, and Failure Modes of Agents
Cybersecurity Looks Like Proof of Work Now
<p><strong><a href="https://www.dbreunig.com/2026/04/14/cybersecurity-is-proof-of-work-now.html">Cybersecurity Looks Like Proof of Work Now</a></strong></p> The UK's AI Safety Institute recently published <a href="https://www.aisi.gov.uk/blog/our-evaluation-of-claude-mythos-previews-cyber-capabilities">Our evaluation of Claude Mythos Preview’s cyber capabilities</a>, their own independent analysis of <a href="https://simonwillison.net/2026/Apr/7/project-glasswing/">Claude Mythos</a> which backs
Steve Yegge
<p><a href="https://twitter.com/steve_yegge/status/2043747998740689171">Steve Yegge</a>:</p> <blockquote> <p>I was chatting with my buddy at Google, who's been a tech director there for about 20 years, about their AI adoption. Craziest convo I've had all year.</p> <p>The TL;DR is that Google engineering appears to have the same AI adoption footprint as John Deere, the tractor company. Most of the industry has the same internal adoption curve: 20% agentic power users, 20% outright refusers, 60% s
Enterprises power agentic workflows in Cloudflare Agent Cloud with OpenAI
Cloudflare brings OpenAI’s GPT-5.4 and Codex to Agent Cloud, enabling enterprises to build, deploy, and scale AI agents for real-world tasks with speed and security.
Trump officials may be encouraging banks to test Anthropic’s Mythos model
The report is particularly surprising since the Department of Defense recently declared Anthropic a supply-chain risk.
From LLMs to hallucinations, here’s a simple guide to common AI terms
The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most important words and phrases you might encounter.
CyberAgent moves faster with ChatGPT Enterprise and Codex
CyberAgent uses ChatGPT Enterprise and Codex to securely scale AI adoption, improve quality, and accelerate decisions across advertising, media, and gaming.
Poke makes using AI agents as easy as sending a text
Poke brings AI agents to everyday users via text message by handling tasks and automations without complex setup, apps, or technical know-how.
ALTK‑Evolve: On‑the‑Job Learning for AI Agents
Introducing the Child Safety Blueprint
Discover OpenAI’s Child Safety Blueprint—a roadmap for building AI responsibly with safeguards, age-appropriate design, and collaboration to protect and empower young people online.
Enabling agent-first process redesign
Unlike static, rules-based systems, AI agents can learn, adapt, and optimize processes dynamically. As they interact with data, systems, people, and other agents in real time, AI agents can execute entire workflows autonomously. But unlocking their potential requires redesigning processes around agents rather than bolting them onto fragmented legacy workflows using traditional optimization methods. Companies…
Announcing the OpenAI Safety Fellowship
A pilot program to support independent safety and alignment research and develop the next generation of talent
Eight years of wanting, three months of building with AI
<p><strong><a href="https://lalitm.com/post/building-syntaqlite-ai/">Eight years of wanting, three months of building with AI</a></strong></p> Lalit Maganti provides one of my favorite pieces of long-form writing on agentic engineering I've seen in ages.</p> <p>They spent eight years thinking about and then three months building <a href="https://github.com/lalitMaganti/syntaqlite">syntaqlite</a>, which they describe as "<a href="https://lalitm.com/post/syntaqlite/">high-fidelity devtools that SQ
The cognitive impact of coding agents
<p>A fun thing about <a href="https://simonwillison.net/2026/Apr/2/lennys-podcast/">recording a podcast</a> with a professional like Lenny Rachitsky is that his team know how to slice the resulting video up into TikTok-sized short form vertical videos. Here's <a href="https://x.com/lennysan/status/2039845666680176703">one he shared on Twitter today</a> which ended up attracting over 1.1m views!</p> <p><video src="https://static.simonwillison.net/static/2026/cognitive-cost.mp4" poster="https://st
Chatbots are now prescribing psychiatric drugs
Utah is allowing an AI system to prescribe psychiatric drugs without a doctor. It's only the second time the state - and the country - has delegated this kind of clinical authority to AI. State officials say it could bring costs down and ease care shortages, but physicians warn the system is opaque, risky, and […]
Highlights from my conversation about agentic engineering on Lenny's Podcast
<p>I was a guest on Lenny Rachitsky's podcast, in a new episode titled <a href="https://www.lennysnewsletter.com/p/an-ai-state-of-the-union">An AI state of the union: We've passed the inflection point, dark factories are coming, and automation timelines</a>. It's available on <a href="https://youtu.be/wc8FBhQtdsA">YouTube</a>, <a href="https://open.spotify.com/episode/0DVjwLT6wgtscdB78Qf1BQ">Spotify</a>, and <a href="https://podcasts.apple.com/us/podcast/an-ai-state-of-the-union-weve-passed-the/
New ways to balance cost and reliability in the Gemini API
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/cost_reliability_Gemini_API-soc.max-600x600.format-webp.webp">Google is introducing two new inference tiers to the Gemini API, Flex and Priority, to balance cost and latency.
March 2026 sponsors-only newsletter
<p>I just sent the March edition of my <a href="https://github.com/sponsors/simonw/">sponsors-only monthly newsletter</a>. If you are a sponsor (or if you start a sponsorship now) you can <a href="https://github.com/simonw-private/monthly/blob/main/2026-03-march.md">access it here</a>. In this month's newsletter:</p> <ul> <li>More agentic engineering patterns</li> <li>Streaming experts with MoE models on a Mac</li> <li>Model releases in March</li> <li>Vibe porting</li> <li>Supply chain attacks a
Gradient Labs gives every bank customer an AI account manager
Gradient Labs uses GPT-4.1 and GPT-5.4 mini and nano to power AI agents that automate banking support workflows with low latency and high reliability.
Stanford study outlines dangers of asking AI chatbots for personal advice
While there’s been plenty of debate about AI sycophancy, a new study by Stanford computer scientists attempts to measure how harmful that tendency might be.
Quoting Matt Webb
<blockquote cite="https://interconnected.org/home/2026/03/28/architecture"><p>The thing about agentic coding is that agents grind problems into dust. Give an agent a problem and a while loop and - long term - it’ll solve that problem even if it means burning a trillion tokens and re-writing down to the silicon. [...]</p> <p>But we want AI agents to solve coding problems quickly and in a way that is maintainable and adaptive and composable (benefiting from improvements elsewhere), and where every
You can now transfer your chats and personal information from other chatbots directly into Gemini
Google is launching "switching tools" that, just as it sounds, will make it easier for users of other chatbots to switch to Gemini.
Apple will reportedly allow other AI chatbots to plug into Siri
Apple's iOS 27 update will allow users to choose the AI chatbot they want to link with Siri. That's according to a report from Bloomberg's Mark Gurman, who says third-party chatbots downloaded from the App Store, like Google's Gemini or Anthropic's Claude, will be able to fetch replies for Siri - similar to how the […]
Thoughts on slowing the fuck down
<p><strong><a href="https://news.ycombinator.com/item?id=47517539">Thoughts on slowing the fuck down</a></strong></p> Mario Zechner created the <a href="https://github.com/badlogic/pi-mono">Pi agent framework</a> used by OpenClaw, giving considerable credibility to his opinions on current trends in agentic engineering. He's not impressed:</p> <blockquote> <p>We have basically given up all discipline and agency for a sort of addiction, where your highest goal is to produce the largest amount of c