Prepare for the AI Token Rug Pull

Every major commodity has a benchmark price — oil has Brent Crude, equities have the S&P 500. Now AI tokens finally have one too: the Token Price Index, built by Harsha Maddipatla, Partner in Strategy at Monitor Deloitte.

Token prices are heading in one direction: up.

The business that survive the AI Token Rug Pull will be the ones that got off the cloud before it came.

I Tracked Down the Hidden Workers Secretly Powering ChatGPT

The video exposes how tech giants rely on an exploited, precarious workforce of human data annotators (often highly educated or from vulnerable backgrounds) to train AI models under unstable, low-wage gig conditions, arguing that this drive toward automation threatens full-time employment unless workers globally organize and demand better labor standards.

I Tested 100,000 Trading Strategies

Out of 131,441 backtest runs spanning 62 strategies and 31 assets, only 65 strategies survived a strict six-filter validation process designed to eliminate overfitting and survivorship bias.

The results revealed that simple, mathematically grounded mean reversion and volume strategies performed the best in out-of-sample walk-forward testing. Conversely, popular retail methods like trend following and candlestick pattern recognition had the lowest survival rates. Ultimately, the data demonstrates that genuine trading edge is rare, yielding modest, realistic returns rather than overnight wealth.

AWS CEO Is Pushing Back on AI Job Apocalypse Warnings | WSJ

Matt Garman discusses Amazon Web Services’ strategic shift toward custom silicon like Tranium and Graviton chips to handle AI workloads. The conversation explores how these internal hardware advancements and AI tools are transforming software development productivity and shaping the future of cloud computing infrastructure.

Gemini Omni Is Here — Everything You NEED to Know

Google just announced Gemini Omni at I/O 2026, and it’s the company’s biggest move in AI video yet. Gemini Omni is a new family of models from Google DeepMind built on one simple idea: a single model that can create anything from any input, starting with video. The first version, Gemini Omni Flash, is available now and has already replaced Veo as the default video model inside the Gemini app. If you’ve used Nano Banana for images, Google is essentially calling this Nano Banana for video.

The headline feature is multimodal input. You can feed Omni any combination of text, images, audio and video and it pulls them into a single finished video generation, with support for up to five reference photos so characters, objects and locations stay consistent. The feature getting the most attention is editing: with Omni you edit video through conversation, giving instructions one after another, with each change building on the last so your characters and scenes stay consistent. You can even take real footage you filmed yourself and ask Omni to change what’s happening inside it.

All of it is grounded in Gemini’s improved world knowledge, with a better understanding of physics like gravity, momentum and fluid dynamics, so scenes hold together more realistically. Omni also generates audio natively and introduces AI avatars, reusable digital versions of yourself that can appear in your videos. Gemini Omni Flash is rolling out now for Google AI Plus plans and higher across the Gemini app, Google Flow and YouTube Shorts, with free access coming to YouTube Shorts and YouTube Create later this week. Clips currently cap at 10 seconds, every generation carries a SynthID watermark, a developer API is coming within weeks, and Google has already teased a more powerful model called Omni Pro.

Create AI Video with ElevenLabs