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🎭 Dreambeans: Google’s Strangest AI Experiment Yet

Anthropic is hiring an AI lawyer for $345K!

Author

Wendy
June 03, 2026

In partnership with

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Google Labs dropped an experimental app called "Dreambeans" that crunches your Google data while you sleep to turn your next day into a personalized story guide.

IN PARTNERSHIP WITH SECTION

If you’re like a lot of other leaders today, you probably don’t feel ready to deploy AI agents in your company.

On 18/6, Section is giving away the playbook, for free. You’ll leave with the guide to getting your agentic strategy started and what you actually need to deploy agents ASAP on your team.

AI INSIGHTS

googles-weirdly-named-dreambeans-ai-to-turn-your-life-into-a-cartoon

Google Labs dropped an experimental app for iOS and Android, called Dreambeans, and while the name sounds like a fever dream, the tech behind it is actually pretty fascinating.

Dreambeans uses your permission-backed Google data to curate 10-14 personalized "stories" every morning. If you have "get a puppy" on your calendar, the app will generate an animated guide on what to expect during your first week with a new dog.

  • While you sleep, the app crunches your data footprint across your Google ecosystem to distill everything into a concentrated morning drop.

  • The goal is to give you a quick burst of inspiration and then get you off your phone to go actually live your life.

  • According to Google, the data stays localized to you. You can delete your history at any time.

Where did that bizarre name come from? Product lead Gozde Oznur explained that "dream" is literal because the system does its heavy lifting while you sleep, and "beans" represents that freshly brewed cup of coffee to kickstart your morning.

Right now, it's only available to U.S.-based Google AI Ultra subscribers, but there’s a waitlist open for personal Google accounts if you want to see your life cartoonified.

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AI SOURCES FROM AI FIRE

1. Claude Code with Gemma 4: I Stopped Wasting Credits on Small Coding Tasks! A practical workflow for using Claude Code with local LLMs, so you can handle small coding tasks without API costs, rate limits, or sending every file to the cloud.

2. [Claude AI Mastery Playbook] Lesson 2: Simple Yet Powerful Claude Setup for Non-Tech Users (Full Guide). Build a professional, high-performance Claude workspace with smart Projects, 3-Layer Memory Systems, and organized workflows so you can work faster and more consistently every day.

CLAUDE CODE DYNAMIC WORKFLOWS

claude-code-dynamic-workflows-run-10-agents-in-parallel

I almost skipped this one. When Opus 4.8 dropped, Dynamic Workflows looked like another developer feature. Big codebase. Parallel agents. Not for me.

Then I found out Anthropic's own teams were using it before anyone else got access. Isn’t that a real signal? It literally spawns up to 1,000 subagents working in parallel on the same task.

And when I actually dug in, I found out this has nothing to do with being a coder. If you've ever had a task too big for one Claude session, this changes how you work.

Here's everything you need to know. The real use cases, the hidden costs, the mistakes people are already making, and why most people outside of tech are completely sleeping on it.

TODAY IN AI

AI HIGHLIGHTS

📘 Letting AI entirely think for you can quietly weaken your own judgment. So Anthropic’s team shared a prompt (link here) to keep you actively part of the process.

🧠 Karpathy’s classic lessons on learning & skill-building are trending again: 3-step framework on how to master anything. It’s practical, and surprisingly easy to miss.

🏛️ Hot job alert: Anthropic is hiring for its new 'AI Rule & Law' team to study how AI could affect courts, elections, and more. Roles pay up to $345K. Apply for this here.

📞 Google is rolling out AI-powered fake call detection. It can check if a trusted contact is really calling you or not. This is now available on all Android 14+ devices.

🛒 When you search for any items on Amazon, you might see AI-generated product images before seeing real products. Yes, fake products to help shop for real ones.

🧩 What if you could break a 3D model into a handful of editable pieces? Adobe Research’s new SuperFit system does exactly that, and the results are impressive.

📰 For the first time, new U.K. rules are pushing Google to let publishers block their content from appearing in AI Overviews, AI Mode, and AI-generated search answers.

🤖 Hermes Agent got a desktop app. Hermes Desktop runs on macOS, Windows, Linux, and can handle tasks through Slack, email, WhatsApp with persistent memory.

💰 Big AI Fundraising: Alphabet plans to raise $80B to expand its AI infrastructure. It expects to spend up to $190B on AI-related capex this year, while tech giants could collectively invest $700B.

NEW EMPOWERED AI TOOLS

  1. 📊 Elentaria is the AI operator: it analyzes your business, scores 22 channels, ships the plan that fits, so it can make the next week sharper.

  2. 🐞 superlog makes your product bug-free. With a prompt, it instruments your repository with OpenTelemetry and keeps it up-to-date.

  3. 💬 Franz 6 has WhatsApp, Slack, Signal, Telegram, Gmail, Outlook and 75+ services in one window, with private AI.

  4. ☁️ Replicas runs Claude Code and Codex in the cloud. You just hand off tasks from Slack, Linear, or GitHub Replicas.

AI BREAKTHROUGH

gemma-4-12b-dropped

Google DeepMind just released Gemma 4 12B. If you want to run agentic workflows directly on your machine, this is the model you've been waiting for. What makes this special is how Google re-engineered the way the model "sees" and "hears" things.

  • Vision and audio now flow directly into the main backbone, drastically cutting latency and memory usage.

  • This is their first mid-sized model to handle audio natively.

  • They simplified it so much that raw audio signals are projected directly into the same space as text tokens, allowing it to translate and transcribe entirely offline.

  • It delivers benchmark performance shockingly close to Google's larger 26B MoE model, but it comfortably runs locally on consumer laptops.

  • It features Multi-Token Prediction (MTP) drafters to keep generation fast, and it launches alongside an official "Gemma Skills" repository to help you build autonomous, multi-step agents right out of the box.

The best part? It’s completely open and accessible under an Apache 2.0 license. You can download the weights on Hugging Face or Kaggle right now, or spin it up instantly in tools like Ollama, LM Studio, and llama(.)cpp.

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