OpenAI Crushes, Mouth-Computer Interfaces, & Apple's New AI

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THEWHITEBOX

TLDR;

👅 MouthPad, A Mouth-Computer Interface

🖌️ Kling Reveals Image-Editing Tool Kolors

👑 The Challengers to NVIDIA’s Crown

🥵 OpenAI Destroys Competition

🔣 Google’s NotebookLM Wil Leave You Speechless

💨 Rysana’s ‘Instant’ Inversion Changes the Inference Game

👓 Snap Reveals its AI Spectacles

[TREND OF THE WEEK] UI-JEPA, The Reason Apple Intelligence Got Delayed

OTHER PREMIUM CONTENT

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Understanding The Last Standing Benchmark, ARC-AGI (All Premium members)

NotebookLM, A “Wow” Moment for AI (cited below) (All Premium members)

Inverted Inference, A New Approach to LLM Inference with 10,000x results (Only Full Premium members)

Native and automatic Model Routing, a New AI Engineering Paradigm (Only Full Premium members)

NEWSREEL

MouthPad, a Mouth-Computer Interface

Yes, you read that right. Augmental has announced a new device that allows you to control computer or smartphone screens with… your tongue. As shown in the video, the user puts the MouthPad on his mouth and can control his iPhone.

TheWhiteBox’s take:

This very cool technology could be key for disabled people who have difficulty expressing themselves freely. But if it feels like magic, it isn’t.

As I’ve mentioned countless times, all AIs are maps between inputs and outputs, be that a sequence of words into the next one (ChatGPT), a sequence of noisy pixels into a new image (image/video generators), brain activity patterns into actions (Neuralink) and now a map from tongue pressure points on a mouth device to actions on a screen.

Therefore, we can reduce AI to the following: a machine that detects that ‘when x happens, y happens,’ and our goal is simply to make this prediction useful to us. And I can’t think of a more helpful technology than one that fights disabilities, so well done Augmental.

IMAGE EDITING

Kling Reveals Image Editing Feature ‘Kolors’

Kling has released a new feature that allows you to paint new clothes on a target human model in a very realistic fashion (strangely, they used NVIDIA’s CEO, Jensen Huang, as the model). Seeing things like this, how are we going to differentiate what’s true from what’s not?

Another area gaining traction is video-to-video, with very impressive results already, from enhancing older video games to modifying entire videos completely (in both cases, it's Runway’s Video-to-video Gen3 model).

HARDWARE

The Challengers to NVIDIA’s Crown

Talking about Jensen and its company NVIDIA, Spectrum's article provides a nice rundown on the main challengers, describing them and addressing the pros and cons of each one, from AMD and Cerebras, to Groq or SambaNova.

TheWhiteBox’s take:

While competition is welcomed and will eventually force NVIDIA to drop margins, it’s hard to deny they have won the hardware lottery.

The main architecture used today, the Transformer, was purpose-built for GPUs

Most AI engineers learn to program on CUDA, NVIDIA’s GPU software, before any other platform, ensuring that all libraries, projects, etc, guarantee CUDA support (and not necessarily the rest)

Consequently, in terms of market growth, it’s not even close:

Source: SEC

However, not everything is perfect. The…

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