OpenAI expands cyber push while Mythos stays dark

Welcome back, Superhuman. AI continues to make it easier than ever to create digital assets, giving marketers unprecedented room to experiment. The latest example: ElevenLabs’ Ads Engine, a new platform that automatically translates your best-performing ads across 50+ languages — no reshoots or translators necessary.

Today: Agent “loops” could be AI’s next biggest trend, how to fill out forms by talking to ChatGPT, and get the latest prompts and trending social posts.

1. OpenAI expands its cybersecurity push as Anthropic’s leading models stay dark: It’s been 10+ days since Mythos and Fable were pulled, with one report from The Economist stating that Mythos helped break into nearly all of the NSA’s classified systems in hours during an exercise. While Anthropic negotiates the release of its models, OpenAI has seized the timing to expand its own cybersecurity initiative, rolling out the full version of GPT-5.5-Cyber to trusted partners and launching Patch the Planet, a program that helps organizations close vulnerabilities.

2. ElevenLabs rolls out auto-translate for ads: ElevenLabs launched Ads Engine, a platform that links to your Meta, Google, and LinkedIn accounts and auto-translates existing creatives across 50+ languages — translating text, adapting images, and dubbing video. It publishes the updated versions on its own, then pulls live performance data to flag when ads start losing momentum. See how it works.

3. Nvidia’s “zero water” AI factory design gains momentum: AI’s heavy water and energy demands have become a major point of pushback for data center projects, but Nvidia may have an answer: a new factory design that uses a closed-loop system to achieve near-zero water consumption in favorable climates. It was first unveiled in early June, but a recent viral post (12M views) has brought renewed interest to the potential solution.

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In agreement. Two of AI’s leading voices, Claude Code creator Boris Cherny and OpenClaw founder Peter Steinberger, have agreed on what AI’s next biggest trend will likely be: loops. This productivity strategy involves creating a repetitive workflow (or loop) for your AI, so it can work efficiently — even when you’re not telling it to.

What’s looping? Looping is an emerging way to work with AI agents. Instead of chatting to your AI like a coworker, you act as the manager and treat it like your employee. You establish a goal with clear instructions and benchmarks for success. It then executes a plan, iterates, and verifies its answers. Once the loop is built, the agent can run it repeatedly without constant back-and-forth — a massive unlock for productivity.

The critical piece. What makes looping work is the verification step. By defining what success looks like for your agent, you can require it to double-check its own work to ensure quality. Without this step, a looping agent could churn out unusable results while burning through your usage limits.

Emerging sector. Looping requires technical know-how and can also be prohibitively expensive, so it likely isn’t a good fit for every task — but expect this concept to grow in popularity over the coming months. Want to learn more? This viral essay breaks down everything you need to know about loops (7M views).

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📢 Productivity Boost: Still editing every prompt by hand? An OpenAI engineer says that’s slowing you down, and recommends using your AI’s dictation feature instead. Learn his technique (2K bookmarks).

👔 Landing the Role: Curious what it takes to get a job at a frontier lab? This blog post — recently featured in Business Insider — breaks down the insane work ethic required from Vlad Feinberg to get a seat at Google DeepMind.

👀 Viral Essay: Writer Dan Koe, known for his article How To Fix Your Life in One Day, is back with another thought-provoking piece: How to Survive AI Mass Replacement (1.5M views).

📊 Political Fact Checker: A viral new Chrome plug-in uses AI to fact-check politicians in real time. Live debates, interviews, and speeches might never be the same. Try the plug-in here.

👋 New reCAPTCHA: AI has officially gotten too good at identifying stoplights and cars. Now, Google might change its “prove you’re not a robot” test to something even more time-consuming (1M views).

🤔 Mystery Man: If you ask your favorite AI to tell you a story, there’s a roughly 25% chance that story will feature someone named Elias. It’s a strange bug that could illustrate one of AI’s major limitations.

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Readers loved this 4-part Stanford prompting technique that forces your chatbot to provide PhD-level analysis. Bookmark it for your next major report, interview, or life decision (3M views).

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Until next time — Zain, Theodore, & the Superhuman AI team.