OpenAI is preparing to release a new AI agent called “Operator” that can take over the wor—sorry, independently control computers and perform tasks. Set to invade launch in January, this new agent will debut as research preview and developer tool. 

Based on the hype around it, Operator may just put OpenAI ahead of competitors in the AI race. But how long will that last? Well, not for long, as Dario Amodei, CEO of Anthropic, the builders of Claude, is predicting that human-level AI will be everywhere as soon as 2026. 

It’s as if the AI companies are playing their own version of "keeping up with the Joneses." For one, OpenAI’s Operator is behind the likes of Anthropic, which launched their “computer use” capability barely a month ago.

Google is also rumored to be working on their own Anthropic Computer Use copypasta called Gemini 2.0. Plans for release are slated for December 2024, but there’s no concrete date yet—well, December is just a few weeks away, so we can wait.

While the exact release date for consumers is still under wraps, the development of Operator signals a new era in AI. We're moving from AI that can chat with you about the weather to AI that can potentially check the forecast, book your flights, and pack your virtual suitcase—all without you lifting a finger.

But here's where things get really interesting. While OpenAI is focusing on computer-controlling AI, Anthropic's CEO, Dario Amodei, is making some bold predictions about the overall advancement of AI technology—I mean, that’s the only thing left to do if everyone else is playing catchup to your model.

Amodei thinks we could see human-level AI as soon as 2026 or 2027. That's right, in just a couple of years, we might have AI that can match or even surpass human capabilities across a wide range of cognitive tasks. It's a bit mind-boggling when you think about it.

This week, Amodei talked to podcaster Lex Fridman about how recent progress in artificial general intelligence (AGI) is like different levels of education. He says we're currently at the PhD level, while last year we were at the undergraduate level, and the year before that, we were at high school level.

Of course, Amedei acknowledges that there could be some roadblocks along the way. There might not be enough data to train these AI models to reach their true potentials—and it’s currently happening. Yesterday, we reported about how many of these AI companies are currently facing a roadblock in creating smarter AIs due to limited resources. These companies are currently reaching a point of diminishing return. 

Of course, there’s always a way out, as companies like Safe Superintelligence (SSI) are already pivoting to new strategies. But let’s see how well that pans out.

And let's not forget about potential geopolitical conflicts that could impact microchip production. But if things keep progressing at the current rate, we're on track for some major AI breakthroughs in the next few years.

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