Meta Releases Two Llama 4 AI Models

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In this Newsletter Today:

• Meta releases two Llama 4 AI models

• Quantum Mechanics to the Rescue: Ending Joystick Drift?

• Microsoft has created an AI-generated version of Quake

• 1000 ChatGPT Prompts

• Top New AI Tools

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Meta releases two Llama 4 AI models

Meta has just dropped its most ambitious AI models yet—Llama 4 Scout and Llama 4 Maverick—bringing next‑level capabilities directly into WhatsApp, Messenger, Instagram Direct, and beyond. Whether you’re a developer hungry for a lightweight powerhouse or an enterprise eyeing GPT‑4‑style performance, there’s something in this release for you!

Things to Know:

• Two Flavors of Llama 4

  • Scout: Fits on a single NVIDIA H100 GPU, yet outperforms Google’s Gemma 3 and Mistral 3.1 on key benchmarks.

  • Maverick: Competes head‑to‑head with GPT‑4o and Google’s Gemini 2.0 Flash, delivering top‑tier coding and reasoning results with fewer active parameters.

• Behemoth Is Coming

  • Meta’s in‑training “Behemoth” model will boast 288 billion active parameters (2 trillion total), aiming to surpass GPT‑4.5 and Claude Sonnet 3.7 on STEM benchmarks.

• Mixture of Experts (MoE) Architecture

  • Llama 4 switches to MoE, activating only the necessary subnetworks per task—optimizing compute and memory usage.

• Open‑Source with Caveats

  • Though labeled “open-source,” commercial entities with >700 million MAUs must seek Meta’s permission—raising questions about true openness.

As Meta continues to push boundaries—especially with Behemoth on the horizon—the industrial impact could be profound: from supercharged customer‑service bots in messaging apps to on‑premise AI solutions for enterprises seeking cost‑effective, high‑performance inference. Stay tuned: Llama 4 might just redefine how industries deploy large‑scale AI.

Quantum Mechanics to the Rescue: Ending Joystick Drift?

Ever had your in-game character veer off course thanks to that dreaded joystick drift? Good news: a technology born from quantum mechanics—tunneling magnetoresistance (TMR)—might be the ultimate fix we’ve been waiting for.

Things to Know:

•  What is joystick drift?
  False inputs from worn potentiometers in standard controllers cause unwanted movements, frustrating gamers across all platforms.

• Hall effect vs. TMR sensors
  • Hall effect sensors use magnets and a conductive “Hall element” to detect position without wear—but they’re pricier and more power-hungry.
  • TMR sensors employ quantum tunneling through an ultra-thin insulator, offering higher sensitivity, linearity, and lower power consumption (0.1–0.3 mA vs. up to 2 mA) with no contact wear.

• Proven pedigree
  TMR revolutionized hard drives in 2005, boosting storage densities by detecting magnetic bits with unprecedented precision. Now, it’s primed for gaming joysticks.

• Early adopters
  Third‑party controllers and upgrade kits from GuliKit, PB Tails, GameSir, and 8BitDo are already shipping TMR joysticks—major console makers may follow in a few years.

TMR sensors promise longer-lasting, more accurate joysticks that sip power and sidestep mechanical wear. As manufacturing scales and costs fall, expect this quantum‑powered tech to reshape gaming hardware—and beyond, into industrial sensors and precision controls across robotics, automotive systems, and medical devices.

Microsoft has created an AI-generated version of Quake

Step into the arena where classic gaming meets cutting‑edge AI: Microsoft has unleashed an AI‑generated Quake II demo, powered by its Muse model, playable right in your browser! Ready to frag enemies that were born from neural nets? Let’s dive in.

Things to Know:

• Playable in Your Browser: Copilot users can now launch a basic Quake II level—complete with procedurally generated enemies and environments—at 640 × 360 resolution and a smooth frame rate.

• From Research to Demo: Originally shown at 10 fps and tiny resolutions, Muse has leveled up to a more “playable” experience, hinting at Microsoft’s rapid AI advancements.

• Game Preservation Meets Prototyping: Microsoft positions Muse as both a prototyping tool for developers and a means to preserve and modernize classics—no original engine needed.

• Copilot for Gaming: This demo is part of a broader push to integrate AI into gaming workflows—expect future features like AI coaching and vision‑based guides.

Microsoft’s Muse‑powered Quake II demo isn’t just a nostalgic thrill—it’s a proof‑of‑concept for AI‑driven game design, preservation, and interactive experiences. As AI models like Muse evolve, industries from game development to entertainment hardware could see a seismic shift in how content is created, adapted, and delivered—potentially democratizing game prototyping and extending the lifespan of legacy titles.

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