AI learns to plan ahead

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Welcome back, Superhuman. Seventeen days, zero instructions, one breakthrough. DeepMind just sent a model off on a weeks-long Minecraft binge. It cracked the game’s toughest challenge, proving that AI is finally learning how to “imagine” future scenarios on its own.

Today’s Insights

• Video models, a new evaluation tool, and parallel agents

• AI is learning how to anticipate the future

• Tutorial: Create landing page designs with ChatGPT

• 5 new AI tools to boost your productivity

• News, memes, what’s trending on socials, and more

TODAY IN AI

1. Hot off the heels of Gen-4, AI video startup Runway is back for more: The Nvidia-backed startup just closed a $308M funding round, more than doubling its valuation to $3B. Due to copyright concerns and doubts about AI’s quality, most big studios have held off on using VLMs. Runway plans to prove them wrong by producing its own content with a new crew of in-house filmmakers. Not to be outdone, TikTok owner ByteDance dropped DreamActor-M1, a model that it says turns still images into clips with unprecedented realism.

2. The agents just keep on coming: First up, London’s Convergence AI unveiled a new system called Parallel Agents. As the name suggests, it assigns swarms of agents to complete different tasks in unison. Along the same lines, Cognition just launched Devin 2.0, which lets you run your own team of coding agents. They’ll autonomously take care of about 80% of your coding needs while you drill down on the 20% that needs your creative touch.

3. Scale AI’s new tool hunts for models’ weaknesses: The SF-based startup, which supplies training data to OpenAI, Meta, and even the US Army, says it has come up with a new way to boost the performance of frontier models. Currently, AI companies have to manually test their LLMs across different benchmarks, one at a time. Scale’s new Evaluation tool can allegedly run thousands of benchmark tests, spot where a model is falling short, and even suggest which data is needed to fill in the gaps.

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FROM THE FRONTIER

Landmark DeepMind study shows AI planning ahead

An experimental model created by DeepMind learned how to collect diamonds in the open-world video game Minecraft — a tricky task that involves a lot of trial and error — without being explicitly shown how to do it.

Why Minecraft — and why diamonds? The game is procedurally-generated, meaning no two levels are the same. That means DeepMind’s DreamerV3 can’t just memorize the layout. And before you can find a diamond, you first need to search for wood, build a crafting table, craft a pickaxe, etc.

So, how did Dreamer figure it out? It used reinforcement learning, the same technique that’s used to train reasoning models like OpenAI’s o3 and DeepSeek’s R1. Essentially, it’s rewarded each time it makes progress, helping it gradually self-improve.

Why is it a big deal? Researchers say it marks a major milestone as one of the first times AI has been shown to “imagine future scenarios” and act accordingly. The technique could help us create more generalized LLMs that can learn on the fly without specialized training.

Google’s on fire: Gemini 2.5 Pro just turned in the highest score yet on Epoch AI’s science-based GPQA Diamond test, beating human experts by 14 points. Plus, it looks like the company might be getting ready to release a new coding-focused model, codenamed “nightwhisper,” which could set a new standard for programming.

THE AI ACADEMY

How to create landing page designs with ChatGPT

• Go to ChatGPT and choose ‘GPT-4o’ as your model.

• Now, enter your prompt in the box and press Enter.

Sample Prompt: Design a stylish e-commerce fashion store landing page. Navigation includes 'HOME,' 'SHOP,' 'SALE,' 'CONTACT.' The main banner shows a high-quality image of a model wearing the latest collection, with the text 'New Collection – Shop Now' prominently displayed. Add a 'SHOP NOW' button in gold. Background with soft pastel tones.

• Wait for a few seconds and you’ll get your landing page design.

• You can share it with your development team or use a no-code tool like Bolt or Lovable to build it yourself.

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AI & TECH NEWS

Everything else you need to know today

🤝 Helping Hand: The Information reports that Intel has tentatively agreed to create a joint venture with Taiwan’s TSMC, the world’s largest chipmaker. Under the plans, TSMC would get a 20% stake in the new company.

🎹 New Tricks: Spotify will now let its partners use AI, including LLM-generated scripts and voiceovers, to create ads on the music streaming platform.

🛒 Add to Cart: Amazon is experimenting with an agentic “Buy for Me” button that lets AI browse third-party sites and make purchases on your behalf. Meanwhile, Kindles will now offer AI recaps to help readers keep up with the plots of their favorite books.

🖼️ Image Explosion: OpenAI COO Brad Lightcap revealed that over 700M images have been created with the new version of ChatGPT so far — with India now becoming the platform’s fastest-growing market.

💰 Funding: OpenAI joined a16z to co-lead a $43M funding round in Adaptive Security, marking the first time the ChatGPT-maker has invested in AI-powered cybersecurity. And Unframe emerged from stealth with $50M to help businesses deploy custom AI models “in a matter of hours rather than months.”

PRODUCTIVITY

5 AI Tools to Supercharge Your Productivity

✅ Genspark: A dedicated team of AI agents assists you with search, deep research and various tasks.

✅ HeroUI: Turn your prompts or screenshots into beautiful, production-ready React applications with AI.

✅ Voicepanel: An AI agent that gathers customer feedback, identifies usability issues, and tests new concepts for product teams.

✅ GPT-4o Image Generation: Create high-quality, photorealistic, or stylized images from text prompts using ChatGPT’s most advanced image model.

✅ Beautiful AI: Create stunning presentations in seconds with AI.

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PROMPT OF THE DAY

Find Study Resources

Prompt: Act as an expert educational researcher. Your task is to curate the best online learning resources for a specific subject and grade level. Start by researching high-quality resources relevant to the subject, and evaluate each one based on its effectiveness, alignment with the grade level, and ability to support different learning styles. Select a diverse mix of resource types—such as interactive websites, video tutorials, practice exercises, and educational games—to meet varied student needs. For each resource, provide a brief description, specify the target audience, highlight unique features, assess its accessibility and user-friendliness, and verify the credibility of its source. Present your findings in a clear bullet-point list, using sub-bullets for each resource’s key details.

Subject: [INSERT SUBJECT]
Grade level: [INSERT GRADE LEVEL]
Learning goals: [INSERT GOALS]

SOCIAL SIGNALS

What’s trending on socials today

🪙 AI Goldmine: Technologist Siraj Raval shares how he “made $2,345 in 24 hours” by building a legal document generator with AI — and without using any code.

🔮 Crystal Ball: AI researcher Daniel Kokotajlo predicted “the rise of chatbots, chain-of-thought, [and] inference scaling” before ChatGPT. Now, he’s back with a forecast for 2027 and beyond. (Check out Dwarkesh Patel’s three-hour podcast about the report here.)

🎗️ Pay It Forward: A new experiment called “Agent Village” challenges four AI agents to work together to raise as much money for charity as possible. You can watch their progress in real-time here.

🧑‍💻 Where It Began: To celebrate 50 years at Microsoft, Bill Gates just shared the original source code for Altair BASIC, a groundbreaking programming translator he and co-founder Paul Allen wrote that let people interact with some of the first personal computers.

😧 Raising Eyebrows: Social media users are raising the possibility that the White House used AI to help come up with its recent tariff measures, since GPT-4o, Gemini 2.5, and Grok all seem to give ideas that closely mirror what the administration landed on.

AI-GENERATED IMAGES

Friday Fun

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Until next time!

Zain & the Superhuman AI team