It's Wednesday, October 14th. Google opened Gemini 4 Argon to everyone for long, multi-step work, and Facebook now lets you type the topics you want in Feed and Reels. Plus two open-source repos Joy uses to see how software works, then draw it.
In Today’s Top Tools, we spotlight some of the most innovative, creative AI apps that we recommend adding to your stack.
TOOL SPOTLIGHT
1️⃣ Google's Gemini 4 Argon Takes On Long, Multi-Step Work
Image from Google
Google released Gemini 4 Argon on October 13, a high-end model for long, multi-step work in coding, finance, legal, and science. Pro and Ultra subscribers can try it in the Gemini app today. The API price doubles on December 1.
Google introduced Gemini 4 Argon on October 13 as the first model in its Gemini 4 family. Its model card says it reads text, images, audio, and video, and handles up to 1 million tokens of input and output combined. Google says it ranks first on the Vals Index, a test of finance, coding, legal, and tax work.
In the Gemini app, turn a folder of project notes into a client proposal deck, as Google demos.
Summarize long contracts, reports, or patents. Isomorphic Labs told Google this cut weeks of work to hours.
Price an API pilot now: $2 per million input tokens and $10 per million output through November 30, then $4 and $20.
Google's first Gemini 4 model, ready to test today.
The useful question is whether Argon handles your longest, messiest task better than the model you already pay for. Pick one job that eats a week, such as reviewing a contract set, and run it through Argon before November 30, while the API price is half. The benchmark wins come from Google and its partners, so judge it on your own files. If it saves real hours, budget for the December price. If not, you lost an afternoon.
TOOL SPOTLIGHT
2️⃣ Tell Facebook What You Want To See, In Your Own Words
Image from Meta
Meta says Facebook now lets people type the topics they want more or less of in Feed and Reels, and that recommendations adjust right away. For businesses on Facebook, it changes how posts find their audience.
Meta announced Your algorithm for Facebook on October 13. From the three-dot menu on any post, people can add and manage the topics they want in Feed and Reels. Meta says large language models now read those requests alongside the likes, comments, and viewing its ranking already uses. The same idea reached Instagram in December 2025 and Threads as Dear Algo in February.
Add a topic you want more of, such as "small business marketing," and look for changes to your Feed in the same session.
After tapping "Interested" or "Not interested," answer Facebook's follow-up questions about what you liked.
If you post for a brand, add your industry as a topic and see which creators and competitors surface.
Meta's post does not say which countries get it first.
For people who scroll, this is a small relief: you can say what you want instead of training the feed by accident. For businesses it moves the target. Reach has mostly followed what people engaged with. Now people can also name topics, and that stated intent counts in the ranking. Over the next month, compare your Reels reach with the topics your audience would actually type. If your posts do not clearly belong to one, fix that first.
🔥 🏆 A Shout-Out From Our Community: The Open Source AI Awards
Image from Open Source AI Week
The AI Collective community is throwing open the doors to the Open Source AI Awards, a night to celebrate the people behind open-source AI: the projects, maintainers, and contributors who push the whole field forward, often without much fanfare.
Ten awards are on the line. Six honor standout projects across infrastructure, agent harnesses, security, evaluation, and observability, and four go to individuals, including Outstanding Educator and Unsung Maintainer. It’s a chance to finally put names and faces to the work that keeps the ecosystem running.
Join us Friday, October 23, from 5 to 9 PM at Founders Inc in San Francisco, in the middle of Open Source AI Week (October 16 to 25). Bring your curiosity, meet the people behind the repos you rely on every day, and help cheer them on. Save your spot and come celebrate with us!
🎓AIC AUTOMATIONS
🦁 See How Any App Works, Then Draw It
Today I’m sharing two most talked about open-source repos recently. One shows how a feature in an app actually works, and the other helps you explain it with diagrams that don’t all look the same.
Both are free and need no code. Paste the prompt into Claude Code or Codex (or your own agent, if it can run local tools), and it handles the setup while you approve each change.
1. REA: Reverse Engineer Anything
REA lets your agent look inside an app, website, or program without its source code, explain how a feature works, and show the evidence. Agents are already doing this at scale.
So pick something you love: an app you open every day, a game you can't put down, a design that stopped you mid-scroll. Hand it to your agent, paste the prompt below, and watch it take the thing apart, show you how it works, and build you a simple version of your own.
Set up REA from https://github.com/morluto/rea. Follow the Quick start in its README: check that I have Node.js 22.19 or newer and install it if I don't, then run npx rea-agents setup. Show me every change before you approve it and tell me when to restart you. Then use REA to figure out how [FEATURE] works in [AN APP I OWN OR HAVE PERMISSION TO STUDY], show me the evidence, and build a simple version for me.
Use it only on software you own or have permission to examine.
2. Diagram Design
Diagram Design, by Cathryn Lavery, turns a plain request into a clean one-file HTML diagram, with 44 types from flowcharts to 3D stacks. Give it your website and it borrows your colors and fonts. This loop is one of its examples.
Paste this prompt:
Install the diagram-design skill from https://github.com/cathrynlavery/diagram-design. Follow the Install section of its README for the agent you are running in (if unsure, use npx skills add cathrynlavery/diagram-design). Then onboard it to my website [YOUR URL] and make me a diagram of [WHAT YOU WANT TO EXPLAIN]. Save it as an HTML file and open it for me.
Pro tip
Use Opus 5.5 for reverse engineering. Ask about one feature at a time, and have your agent separate what it confirmed from what it guessed.
One way to put AI to work, every week. From Joy Dong
In this section, we feature a few standout opportunities at leading AI companies, non-profits, policy groups, and other organizations.
🔬 Work at a Lab/AI Safety
Roles at frontier labs, safety organizations, and research institutions
RESEARCH ENGINEER, WEB CRAWLING - Thinking Machines Lab | San Francisco, CA | $350,000-$475,000
FORWARD DEPLOYED RESEARCH SCIENTIST - Goodfire | San Francisco, CA | $220,000-$315,000
RESEARCH SCIENTIST (CONTROL) - Apollo Research | San Francisco, CA or London, UK | $204,000-$385,000 (SF); £136,000-£258,000 (London)
🚀 Work in Industry
Roles at funded AI startups and private companies
MACHINE LEARNING ENGINEER - Ramp | New York, NY (HQ); Hybrid | $200,000-$330,000 + Equity
STAFF SOFTWARE ENGINEER, AGENT PRODUCT - Decagon | New York, NY; Hybrid | $200,000-$400,000 + Equity
STAFF SOFTWARE ENGINEER, AGENTIC ADS - Replit | Foster City, CA; Hybrid | $250,000-$360,000 + Equity
🏛️ Work in AI Policy / Governance
Roles in government, think tanks, NGOs, and policy organizations
NATIONAL SECURITY APPLICATIONS OF AI RESEARCH LEAD - Center for Security and Emerging Technology (CSET) | Washington, DC | $160,000-$190,000 (apply by Oct 19)
DIRECTOR, GOVERNMENT AFFAIRS & PUBLIC POLICY - Harvey | San Francisco, CA | $260,000-$350,000
GLOBAL PUBLIC POLICY MANAGER, COMPUTE, INFRASTRUCTURE & SOVEREIGN AI - Cohere | United States, Remote | $150,000-$240,000 + Equity
✨AIC OPPORTUNITIES
Current ways to build with The AI Collective.
DIRECTOR OF SF BAY AREA PROGRAMS - The AI Collective | SF Bay Area, in person for events | Paid, full time, $60,000-$80,000 annually
EDUCATION OPERATIONS LEAD - The AI Collective | Remote | Volunteer, 5-10 hours/week
EXECUTIVE ASSISTANT - The AI Collective | Remote, LatAm preferred; PST hours | Paid, $1,500/month
PARTNERSHIPS LEAD (GRANTS) - The AI Collective | Remote | Volunteer, part time, about 5-7 hours/week
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🧑💻 About the Editors
About Noah Frank
Noah is a researcher, innovation strategist, and ex-founder thinking and writing about the future of AI and the workforce. His work and body of research explores the economics of emerging technology and organizational strategy. Outside of AIC, Noah heads research for Centaurian AI.
About Lindsay Gross
Lindsay is an AI engineer, researcher, and writer focused on how AI systems behave in practice and what it takes to make them safe. Her work sits at the intersection of AI safety, governance, and product design, and at AIC she writes about the questions that matter most as these systems scale.