Google’s Gemini 4 Carbon tops the charts (for now)

PLUS: Turn a prompt into a poster with Canva Craft

Zach Mink

October 29, 2026

Good morning, AI enthusiasts, and welcome to our 4,742 new readers. Google spent much of 2026 playing catch-up in the AI race. A month and two frontier models later, it’s sitting at the top of the charts again, sort of.

Gemini 4 Carbon has the numbers to back up all the comeback talk, but like Argon at launch, the public can’t use it yet — and with OpenAI and Anthropic shipping at a similar pace, the crown might not last long.

In today’s AI rundown:

Google’s Carbon takes the benchmark crown (for now)
Nate’s Notebook: Hire a dispatcher first
Turn a prompt into a poster with Canva Craft
An Anthropic manager bets on junior engineers

LATEST DEVELOPMENTS

GOOGLE

💎 Google’s Carbon takes the benchmark crown (for now)

Image source: Google

The Rundown: Google just unveiled Gemini 4 Carbon, a new frontier model built for cybersecurity and long-running coding work that tops 15 of 17 benchmarks on Google’s charts, but isn’t yet public — with only select cyber defenders gaining access to start.

The details:

Carbon’s 59 on Artificial Analysis’ “Intelligence Index” takes the top spot from Claude Opus 5.5 and improves 9 points over Google’s Argon from four weeks ago.
Carbon’s widest wins over OpenAI’s Astra and Opus came on long-input reasoning (+24 points), hacking (+12), workflow automation (+11), and math (+8).
Carbon’s $2/$10 intro API price (per million tokens in/out) is half of Opus 5.5’s and 1/5 of Astra’s, though it doubles to Opus’s rate after the initial discount.
Google hasn’t given a date for wider access to Carbon, with Argon previously rolling out around two weeks after its debut to cyber defenders.

Why it matters: Two big models in weeks is a big statement from a Google that spent much of 2026 playing catch-up, and Carbon’s numbers back it up. But nobody outside select cyber defenders can vibe-check those numbers yet, and at the pace OpenAI and Anthropic are shipping, the rankings could change well before Carbon goes public.

TOGETHER WITH GARTNER

📖 AI activity isn't the same as value

The Rundown: 86% of CIOs say AI risk is growing faster than value — four times faster, on average. These Gartner IT Symposium/Xpo takeaways show CIOs how to compound value, not just activity, and govern AI before risk erodes advantage.

Learn how to:

Balance AI value and risk
Govern AI through an AI central bank
Fill AI safety gaps with human oversight

Download the insights.

NATE’S NOTEBOOK

☕ Nate’s Notebook: Hire a dispatcher first

The Rundown: Each week, Rundown AI educator Nate Grahek breaks down what he’s seeing while teaching real teams to use AI.

Nate: Most mornings, I brain dump my project list into my phone while I wait for coffee. Dot splits that one voice dump into separate chats running at once, each in its own context window. By the time I’m back at my desk, they’re gathering context, doing research, and drafting outlines.

That’s the difference between the agents landing right now. Grok Bot and OpenClaw are monothreads: one worker running unattended. Even with careful rules and profiles, I’ve never been super impressed with that work. Dot is a delegator, handing discrete jobs to threads I can still coach.

Unattended is the hard part. Think about hiring a new assistant: we all underestimate how hard it is for anyone, human or agent, to anticipate what matters to you. Agents will get there, but it takes time and a lot more context. Until then, I stay in the loop for chunking, quality, and coaching.

Last week, I laid out my ladder: read, then write, then send. If you’re not ready for write access, that’s okay. Dot sorts the noise in my inbox and flags what needs me, with no access to write anything. Just letting it read and triage is a smart, useful, powerful first step, and it’s why I’m even more excited to finally get Anthropic’s Duet.

No Dot yet? The brain dump works in a new ChatGPT voice chat, too.

We’re currently in the messy middle. Triage and delegation are worth jumping into now; figure out the rest along the way.

AI TRAINING

🎨 Turn a prompt into a poster with Canva Craft

The Rundown: In this guide, you’ll try Canva’s new image model on a workshop poster. You’ll check the headline, add event details you can edit, and make a square version without rebuilding the whole artwork.

Step-by-step:

Open Dream Lab from Canva’s homepage and select Craft. Choose a portrait layout and check your AI allowance before generating
Paste the guide’s brief. Ask for a clear headline and blank space for the event details. Then, check the headline very closely
If the issue remains after one revision, generate the artwork without text and add the heading yourself
Open the image in Canva and add the date, time, and venue as text boxes. Try Magic Layers only if you need to edit words or objects inside the generated image
Make a square version and change the event date in both designs. Check the downloaded files for spelling, cropping, and the correct details

Pro tip: Keep details that may change in ordinary text boxes. A new date should not require another image generation. You can find our full guide, test resources, and prompts Visit The Rundown University.

PRESENTED BY ENEY BY MACPAW

💬 Just ask. Skip to done.

The Rundown: Eney by MacPaw is a proactive AI assistant that takes tedious work and life tasks off your list on Mac and iPhone. It spots what needs attention and handles tasks with your go-ahead.

With Eney, you can:

Act on what’s on your screen with Eney Wand
Delegate tasks, big and small
Work seamlessly across your favorite apps

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AI & THE WORKFORCE

🤝 An Anthropic manager bets on junior engineers

Image source: Felix Rieseberg / J. M. W. Turner

The Rundown: Anthropic engineering manager Felix Rieseberg wrote that he’s dropped the coding interview from his team’s hiring, saying Claude now outperforms people on the short coding tests it relied on — while also offering an optimistic counter-take that AI is letting junior engineers overtake veterans.

The details:

Rieseberg, who has led engineering on Claude Code Desktop, says he has seen newer engineers “fly past” likely better coders, and that “hunger beats tenure.”
His advice to juniors is to tie one bold idea to higher-ups’ goals and build it as a weekend prototype, since with AI “execution isn’t expensive anymore.”
He used Claude Code’s desktop app as an example, with two newer employees prototyping it in one weekend before it went public just over a week later.

Why it matters: A lot of this year’s talk about junior engineers has been gloomy, with Anthropic co-founder Jack Clark saying earlier that AI makes their value “a bit more dubious.” Rieseberg’s taking the opposite stance from inside the same company, with a vote of confidence in agency and AI-enabled ambition over years of experience.

QUICK HITS

COMMUNITY AI WORKFLOW OF THE DAY

▸ Mario built an AI prospector that pitches websites to local shops

Today’s workflow comes from reader Mario Mitchell:

“I built a set of agents that run every day to find local businesses with no website, build a site for a selected business, and email the mockup to that lead. It’s for anyone who sells web services to local businesses and wants to automate the prospecting.

Each day, my Gemini and ChatGPT agents check the major cities in the state I select, for the industry I select, and find the best businesses that don’t have a website. They add those businesses to a spreadsheet. A second agent reads the spreadsheet, selects the best prospect based on its need for web services and likelihood of buying, and starts building its website.

That agent checks the business’s social media for images and its Google Business Profile for information. It also looks for a logo. If there isn’t one, it creates a logo for them. A third agent takes the mockup and sends an email with it to the lead. A fourth agent is set up to reply once the lead responds, book them on a call, and put the call on the calendar.”

See the workflow on our Community Workflow Hub →

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📰 Everything else in AI today

OpenAI is pulling hundreds of staffers into a “war room” for next week’s U.S. midterm elections, hunting for ChatGPT misuse after flagging Russian and Iranian influence campaigns on its models this month.

Artificial Analysis released v5 of its “Intelligence Index” AI leaderboard, now relying more on private tests, with Chinese open models falling further behind in the rankings and OpenAI’s new Terra model outperforming despite its mid-tier level.

New AI startup Particle released Particle-1, a DeepSeek V4.1 Flash variant trained to reason less on coding tasks, using ~45% fewer tokens with near-identical accuracy.

Anthropic widened its government buying deal with a 40% Claude discount, saying civilian agency use is up ~20x in a year, after a judge blocked Trump’s order to drop it.

Google opened a waitlisted preview letting U.S. developers build apps for Gemini and Search, with several partner apps also heading to Search within weeks.