The future of AI computing is here

Plus: Your new AI coworker

Happy Friday! Did you survive the AI blackout this week? On Tuesday, three of the biggest names in AI—ChatGPT, Claude, and Perplexity—all went down simultaneously, leaving users in digital disarray. The outage lasted several hours and reminded us how integral these systems have become in our daily lives. 

Will there be another AI breakdown? Only time will tell… 

Major AI Announcements at Computex 2024

DigitalTrends

At this week’s Computex event in Taiwan, major AI companies shared some big announcements that are set to shake up the tech industry. Let’s get started: 

Nvidia's big reveal: Nvidia introduced several groundbreaking technologies poised to revolutionize AI capabilities:

  • Rubin Chips: Nvidia's next-generation “Rubin” chips—set to launch in 2026—will significantly enhance AI performance across various applications. This chip architecture, successor to Blackwell, will use HBM4 (high-bandwidth memory) and NVLink Switch (a scale–up interconnect), operating at a staggering 3,600GBps. 

  • G-Assist, Nvidia’s new AI assistant for PC gaming and apps. It analyzes voice or text inputs and game snapshots to provide context-aware help.

  • ACE (AI Content Engine) is Nvidia's new suite of AI technologies designed to create lifelike digital humans for game and platform developers. It automates natural language understanding, speech synthesis, and facial animation—making digital characters more realistic and interactive. 

AMD's lineup: AMD made headlines at Computex 2024 with their new Ryzen AI 300 series, laptop processors made specifically for generative AI workloads. They offer up to 50 TOPS (trillions of operations per second) for AI tasks—for context, Apple’s M4 has 38 TOPS.

Qualcomm takes AI to desktop: Qualcomm announced that their Snapdragon X Elite chips, previously exclusive to mobile devices, are now making their way to AI desktops.

Why it matters: These announcements mark significant strides towards making advanced AI technologies more accessible. Soon, anyone with a PC will be able to access the power-intensive AI tools previously only available to developers.

Stability AI Unveils Stable Audio Open for Creative Sound Generation

TechCrunch

Stability AI just released its latest generative AI model—a sound generator. No, not a music generator…just sound. 

A new sound frontier. Stability AI, known for its AI art generator Stable Diffusion, has unveiled Stable Audio Open, an open-source text-to-audio model. This model can generate up to 47 seconds of samples and sound effects, making it ideal for creating drum beats, instrument riffs, ambient sounds, and more. 

  • Trained on ~486,000 samples from FreeSound and the Free Music Archive, it respects creator rights while delivering high-quality audio.

Unlike the commercial Stable Audio, which can produce full tracks and advanced compositions, Stable Audio Open focuses on short samples and sound effects.

How to use it: The model weights are available on Hugging Face, allowing users to download and fine-tune it with their custom data. 

  • This open-source nature means users can tailor the model to their specific needs, from creating new drum patterns to unique soundscapes. 

Why it matters: Stable Audio Open makes audio generation accessible to everyone, giving creators the tools to explore and innovate with AI-generated sound.

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Asana Introduces AI Teammates

On Wednesday, Asana introduced AI teammates, a project management feature that could redefine productivity in the workplace. 

Introducing AI Teammates: Asana, a leading project management tool, introduced “AI teammates”—AI-powered tools that integrate into workflows to assist with tasks like managing help tickets and delegating tasks.

How does this work? These AI teammates are trained using Asana’s extensive database of how work moves within organizations. They can provide accurate task management by understanding specific workflows—but they also know to request additional information when needed. 

The details: Asana’s AI teammates leverage the company’s detailed mapping, AKA “work graphs,” of how tasks flow between individuals and departments. Work graphs help the AI understand each task's context and specific steps. 

  • For example: If a help ticket is submitted with missing details, the AI teammate can prompt the user to provide information before sending it to the appropriate person for resolution.

Why it matters: By leveraging internal business intelligence, Asana brought an AI tool to life that could revolutionize workflow management. In the age of AI, many tech companies are sitting on data goldmines that can train tomorrow's AI. “Streamlining” won’t cut it anymore; it’s automate or bust.

  • Samsung added AI upscaling to its new OLED gaming monitor.

  • Using AI to decode dog vocalizations.

  • Raspberry Pi partners with Hailo for its AI extension kit.

  • Humane is reportedly trying to sell itself to HP for $1 billion.

  • Google looks to AI to help save the coral reefs.

  • Here’s what to expect from Apple’s AI-powered iOS 18 at WWDC 2024.

Ready to see into the future? No, really… watch me test the best AI glasses side-by-side (so you don’t have to).

What’s the future of AI content creation? On the latest episode of The Next Wave, we sit down with Roberto Nickson to discuss trust and authenticity in generative AI. We explore the big names behind tech companies, AI-generated music, and Meta’s exciting advances in AI.

The BIG question is, with our growing AI dependence, what happens when these systems go down? I have a few thoughts on this… but I want to hear from you.

Hit reply and let me know what you think!

—Matt (FutureTools.io)

P.S. This newsletter is 100% written by a human. Okay, maybe 96%.