🤯OpenAI's first open model in 5 years

+ Google’s new AI creates video game worlds in minutes, ElevenLabs debuts their first AI music generator, and Apple's secret ChatGPT project

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Happy Wednesday! Here's your mid-week AI recap:

gpt-oss-120b and 20b are OpenAI's first open models since 2019, letting developers build with state-of-the-art reasoning for free. Genie 3 is Google's breakthrough AI that generates interactive 3D worlds in real-time from simple text prompts — not static videos, but living environments with persistent physics that respond to your every move.

ElevenLabs enters the music game with ElevenMusic, a new music generation model that has already been cleared for commercial use. And Apple's secret AI team is building a ChatGPT-style answer engine for Siri, Spotlight, and Safari.

Let’s get into it.

ā€œWe believe this is the best and most usable open model in the world.ā€

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šŸ“ˆ 5 Must-Know AI Tools

Rocket – AI-powered app builder. Type what you want, and it builds a full-stack web or mobile app — frontend, backend, database, and logic in minutes.

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OpenAI

OpenAI Goes Open(ish)

OpenAI’s models have been on lockdown since 2019 with GPT‑2. But now, five years later, it’s finally cracked the door open, releasing two open-weight reasoning models that you can download, deploy, and build on, license-free. They're not fully open-source, but they're open enough to shift the power dynamic in AI infrastructure.

āš™ļø Two Models Released

  • gpt-oss-120b — the larger model, optimized for a single Nvidia GPU

    gpt-oss-20b — small enough to run on a consumer laptop with 16GB RAM

  • Both are available today on Hugging Face, under a permissive Apache 2.0 license — use it, modify it, sell it

šŸ”‘ Key Specs

  • Trained using the same high-compute reinforcement learning (RL) techniques behind GPT-4

  • Support tool usage out of the box: Python, web search, calculator, etc.

  • No image or audio support

  • No training data released

šŸ“ˆ Benchmarks

  • On Codeforces, gpt-oss models beat DeepSeek’s R1 but trail OpenAI’s own o3 and o4-mini

  • On Humanity’s Last Exam, they score 17–19%, ahead of most open rivals but behind frontier models

  • They’re efficient: only ~5B of the 117B parameters are active per token, thanks to Mixture-of-Experts routing

  • Accuracy remains a tradeoff. On PersonQA, gpt-oss-120b hallucinated 49% of the time which is more than triple o1’s rate

Bigger Picture

This is OpenAI’s first real return to openness since 2019 with GPT‑2. These are models you can download, run, and build on. It reflects mounting pressure from China’s open AI race and U.S. calls for more democratic tech. While the training data stays closed, the release gives developers real control and not just API access.

Google Deepmind

Genie 3: AI Mind in Motion

Google DeepMind just released Genie 3, an AI that generates fully interactive 3D worlds from text prompts. You can navigate these environments in real-time like a video game, except the entire world is created on the fly. This isn't just a simulation breakthrough but a prototype for how AI might develop true spatial intelligence.

šŸŒ The World Is the Prompt

  • Generates fully interactive 3D environments at 720p / 24fps

  • World’s last multiple minutes, up from 10–20 seconds in Genie 2.

  • Scenes aren’t prebuilt or replayed, and they evolve in real-time, with dynamic changes mid-simulation (ā€œpromptable world eventsā€).

🧠 Memory Makes It Magic

  • Genie 3 is autoregressive, generating one frame at a time, while remembering what came before.

  • That memory gives rise to emergent physics: things fall, roll, crash, and stay where they land, without a physics engine.

  • In tests, this consistency let agents plan ahead and respond like they understood momentum and gravity.

🪨 The Stepping Stone to Something Bigger

Genie 3 is a step toward embodied intelligence—the idea that agents need to learn through interaction with environments, not just token prediction. Today's LLMs lack causal reasoning, spatial memory, and physical intuition—all things that emerge in world models like Genie.

Its limits are real: short rollouts, shallow physics, narrow agent control. But the architecture points forward. If AGI requires agents that can reason, adapt, and generalize in uncertain environments, this could be the foundation that gets us there.

ALPHA DROP

(Where we spotlight one powerful tool or feature to help you stay ahead.)

ElevenLabs Just Made AI Music Legally Safe

ElevenLabs, the AI voice company behind realistic speech cloning, just made its first leap into music. With Eleven Music, they've launched a text-to-music model that comes with licensing deals, opt-in artist protections, and a business-ready green light for commercial use. This is what happens when generative AI is built with the music industry, not against it.

šŸŽ§ Get Started Here → ElevenLabs Music

šŸŽ¼ What Eleven Music Can Do

  • Generate studio-quality music from simple text prompts, with or without vocals

  • Full creative control: specify genre, adjust song structure, edit verses and choruses in real-time

  • Multi-language support across English, Spanish, German, Japanese, and more

šŸ›”ļø Legal Breakthrough

  • Licensing partnerships with Merlin Network and Kobalt Music Group (representing Adele, Beck, Bon Iver, Childish Gambino)

  • Artists opt in voluntarily and receive revenue sharing, no copyright violations

  • Commercial use actually cleared for films, ads, podcasts, games, and social content

  • While Suno and Udio face RIAA lawsuits, ElevenLabs secured permissions first

šŸŽµ Why It Hits Different

This isn't just about music; it's about how AI companies will handle intellectual property going forward. ElevenLabs chose partnerships over the "move fast and break things" approach that's landed competitors in court. If this model works, expect every generative AI company to follow suit. The era of training on anything you can scrape might be ending, replaced by explicit licensing deals and revenue sharing with creators.

The real question: Will the creative industries actually respect these boundaries, or is this just expensive theater before the inevitable legal battles?

Apple

Apple Is Building Its Own ChatGPT

Source: Bloomberg

Apple reportedly quietly launched Answers, Knowledge & Information (AKI)—a new team building a ChatGPT-style answer engine for Siri, Spotlight, and Safari. Instead of linking to websites, it will give direct answers to user questions.

Unlike OpenAI and Google, Apple can process queries on-device instead of sending them to the cloud. Your questions stay completely private while getting ChatGPT-level responses. This isn't about catching up feature-for-feature—it's about rebuilding AI assistance around privacy and control.

Expect the first version by spring 2026, likely starting with Apple Support before expanding to Siri. Apple may be years behind in raw AI performance, but if they nail trustworthy on-device intelligence, every competitor will need to match their privacy

šŸ”„ Must-Read Free AI Resources

Want to level up fast? Here are some of the best free resources we've found:

Guides:

  • Building Effective Agents (Anthropic)
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  • Prompt Engineering Guide (Anthropic)
    Dive into few-shot techniques, role prompting, and multi-step reasoning patterns. Learn the Techniques →

  • Identifying and Scaling AI Use Cases (OpenAI)
    A field guide for spotting automation-ready workflows across your team or organization. Unlock the Use Cases →

  • AI in the Enterprise (OpenAI)
    How top companies are rolling out AI across product, ops, and legal—without breaking things. See How Enterprises Are Doing It →

  • Build AI Agents (OpenAI Practical Guide)
    A step-by-step playbook on designing and deploying AI agents for real-world use. Read the Guide →

  • OpenAI Cookbook
    Your go-to resource for code examples, integrations, and best practices when working with OpenAI models. Browse the Cookbook →

  • Google’s Prompt Engineering Whitepaper
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  • Prompting Guide (Google AI Studio)
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Courses:

  • Harvard's AI Courses
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  • Google Cloud’s AI Training
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  • OpenAI’s AI Academy
    Learn how to use AI from the source. OpenAI Academy offers free lessons on prompt engineering, large language models, and more, with no signup required. Join the Academy →

  • Hugging Face LLM Course
    A hands‑on journey through LLM fundamentals and model pipelines using the Hugging Face ecosystem. View the Course →

  • Microsoft’s AI & Tech Courses
    Learn AI, machine learning, and cloud tools with step-by-step training from Microsoft. Browse Courses →

  • NVIDIA’s AI Courses
    Access expert-led courses on AI, deep learning, and accelerated computing. Explore the platform →

⚔ Quick Reads

AI & TECH JOBS

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Explore Our AI Tools Directory

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We’re not here to hype AI — we’re here to help you actually use it, understand it, and learn as it evolves. Whether you’re testing a new tool, trying to automate something tedious, or just trying to keep up with what’s happening, we hope this newsletter gave you something genuinely worth your scroll.

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