Welcome, humans.

Google just dropped the biggest AI release of the year, and later today at 11am PST / 1pm CST, we're going hands-on with it LIVE.

That’s right, we are diving into Gemini 3 Pro with Logan Kilpatrick from Google DeepMind, where he heads up AI Studio, Google’s AI developer platform.

Gemini 3 Pro just topped the leaderboard as the world's #1 AI model, and Logan will show us how to build with it—from concept to working app in minutes. We're talking agentic coding, advanced reasoning, and multimodal generation (we’re gonna try to break this thing lol; but also do practical things with it, too!). Tune in live here.

P.S: Our Black Friday edition ad placements are selling out FAST (we’re talkin’ Switch 2 levels of demand here folks)! Email Mindy at mindy.metz@technologyadvice.com to secure your spot before they're gone.

Next week is Turkey Week, so we’re pretty sure you want to check out. Put your product marketing on autopilot: email Mindy, book your ad, and cruise into T-Day vacay while reaching AI enthusiasts who read The Neuron daily. Done.

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Here’s what happened in AI today:

1. AI2 released Olmo 3, the first fully open reasoning model with complete training transparency.
2. xAI entered talks to raise $15B at a $230B valuation.
3. Meta released SAM 3 for object detection and SAM 3D for photo-to-3D conversion.
4. OpenAI has a new Gemini-killer model in development nicknamed “Shallotpeat.”

AI2 Just Made the AI Industry's “Secret Sauce“ Public… Here’s Why That Matters

An example asking Olmo for “the square root of the sun” lol.

DEEP DIVE: Under the Hood of Olmo 3, America’s next top (open) AI model.

Most AI companies treat their training process like Coca-Cola guards its recipe. Not Ai2.

The Allen Institute for AI (Ai2) just dropped Olmo 3 (launch video), and it's not just another "open-source" model. Most "open" models only share weights—the numbers AI uses to decide responses.

Olmo shares everything: weights, every training checkpoint (saved snapshots at different learning stages), every dataset decision, every line of code that turned raw data into a thinking machine. Think Tesla open-sourcing not just car designs, but the factory itself.

Here's what makes this different: Olmo 3 is the first fully open 32B-parameter reasoning model (parameters = adjustable settings; more parameters = smarter responses; reasoning = step-by-step thinking).

You can trace any answer to the exact training data behind it. Modify it. Rebuild it. Make it better.

The family ranges from 7B to 32B parameters, running on laptops to data centers:

• Olmo 3-Think (32B): Frontier reasoning model showing step-by-step thinking; fully open for research and reinforcement learning.
• Olmo 3-Base (7B & 32B) Strong at coding, reading comprehension, math, with 65K token context (16× larger than Olmo 2, ~50K words).
• Olmo 3-Instruct (7B) Optimized for conversations and tool use.

r/LocalLlama (the local AI subreddit) approves..

The efficiency is wild: Olmo 3-Think rivals Qwen's similar-sized models while training on 6× fewer tokens. Lower costs, less energy, faster iteration—without sacrificing performance.

Speaking of costs: 7B model ran ~$500K; 32B ran ~$2.2M. A fraction of closed-source spending… given away free.

Why this matters: For years, "open source AI" meant released weights but locked training secrets. With Olmo 3, researchers can reproduce results, companies can customize without vendor lock-in, and developers can understand model behavior.

Big tech wants you dependent on their black boxes. AI2 just handed you the factory keys.

Models are live on Hugging Face and AI2's Playground under Apache 2.0 license (use, modify, and commercialize freely).

Try Olmo 3 in the AI2 Playground (its worth it to watch it “think”) or grab models on Hugging Face (this version should be best for running locally via LM Studio), the code on GitHub, and the full technical details here.

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Prompt Tip of the Day

Researchers at Cognizant AI just achieved something wild: they got an AI to complete over 1 million consecutive steps with zero errors. The secret? They stopped trying to make the AI “smarter“ and instead broke down complex tasks into micro-steps—each so tiny that even a cheap model (GPT-4.1-mini) could nail it perfectly.

Here's how you can use this: Instead of asking ChatGPT, Gemini, Grok, or Claude to “write my entire marketing plan,“ break it into micro-tasks: (1) identify target audience, (2) list pain points, (3) suggest channels, (4) draft messaging for each channel. For critical decisions, ask the AI to solve each micro-step 2-3 times and compare answers—this “voting“ mechanism caught errors that would've compounded.

The research paper used this approach for high-stakes coding tasks, but it works for anything where accuracy matters: financial analysis, legal reviews, complex calculations.

Our favorite insight: Task decomposition beats model sophistication. You'll get better results breaking problems into 10 micro-prompts than asking for everything in one shot.

Treats to Try

*Asterisk = from our partners (only the first one!). Advertise to 600K daily readers here!

1. *Wispr Flow turns your speech into clean, final-draft writing across email, Slack, and docs. It matches your tone, handles punctuation and lists, and adapts to how you work on Mac, Windows, and iPhone. Give your hands a break ➜ start flowing for free today.
2. Bovo creates original, royalty-free soundtracks for your videos by analyzing the motion, mood, and pacing of your footage (and pays the royalties back to artists via licensing deals).
3. ElevenLabs Studio now edits text, voice, audio, images, and video in one place: upload a video to auto-generate an editable script, fix mistakes by editing text and it regenerates in your voice, and create visuals from prompts using Veo, Sora, or Kling
4. Genspark just launched Team and Enterprise plans for its AI workspace that automates busywork end-to-end; analyze sales data, create executive decks, conduct screening calls, and schedule interviews all automatically (raised $275M).
5. Segment Anything (powered by Meta SAM 3) finds any object in your images or videos by typing what you want—like "person" to blur backgrounds or "vehicle" to add motion trails—then applies effects with one click (try it here).
   1. There’s also Meta SAM 3D, which reconstructs any object or person from a single photo into a full 3D model, like turning a chair listing into an AR preview for your room, already live in Facebook Marketplace (download models | try it here).

Around the Horn

This is awesome!! Shout out Allie K. Miller!

• xAI entered advanced talks to raise $15B at a $230B valuation for Elon Musk's AI company.
• Sam Altman supposedly published a memo before the launch of Gemini 3 that the company was in for some “rough vibes out there” until it releases its new model, nicknamed “Shallotpeat.”
• Meta's Vibes AI feed has about 2M daily active users as of November 9, with most growth coming from India (704K users, up 22%) and Brazil (114K users, up 13%)—for comparison, Threads has 150M daily active users.

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Intelligent Insights

1. Peter Wildeford explores the pros and cons of a “Manhattan project” for AI (as predicted by the now famous “Situational Awareness” report) suggesting a portfolio of approaches would work better.
2. Dan Hendrycks and Alice Blair’s ML Safety newsletter this month puts two major developments in AI safety research in perspective: (1) researchers created the first comprehensive benchmark measuring AI's ability to complete real work, while (2) our safety monitoring methods may be becoming less effective as models develop reasoning patterns we can't interpret.
3. 12 Grams of Carbon broke down their process for building AI agents, and it basically goes like “if an AI can’t do it, figure out why until the AI can do it.”
4. Market Sentiment put together a great report on the AI energy trade (and some potential ways to play it).
5. If you read one insight this week, read this one: Stew Newman’s breakdown of “hyperproductivity” and how the best AI users today use AI to build custom productivity tools for their workflows, making optimizing the work the work itself.

A Cat’s Commentary