AI doesn’t have to destroy us, we’re doing a fine job of that on our own.

In this light, Bastian’s story hits harder now than ever and I can’t help but see him as an avatar for mediocrity, wastefulness, and a society without the capacity for empathy.

It’s been six weeks since our launch. Let’s take a look at what the Center for AGI Investigations has accomplished in that time.

Anthropic’s latest paper, titled “Values in the Wild: Discovering and Analyzing Values in Real-World Language Model Interaction,” may be the team’s most noteworthy work since the “Constitutional AI” paper.

Almost all people can be fooled at least some of the time. Patience may be the best approach as we prepare for the impending onslaught of claims surrounding the emergence of “human-level” AI. 

The only path forward is advanced AI systems to become so useful that we forget we’re using them. Simply put: AI needs to fade into the background.

You got to hand it to DeepMind. They’re the Apple of laboratories. While everyone else is clamoring to occupy space in the public head, it’s toiling mysteriously in the background. 

I only have one problem with the Big Bang theory: nobody knows what “big” means. Is Earth big? What about the Sun? Is the Hercules-Corona Borealis Great Wall big?

Hugging Face recently bought Pollen Robotics, a startup developing “open source” humanoid robots.

Users were able to navigate 25% faster with this system than using a traditional cane.

In other words: You’re the middle segment in a human-AI centipede.

If the basic idea is to get the most utility out of chatbots, it seems counterintuitive to train them to waste tokens and time outputting polite language. 

Chatbots don’t actually exist. No, we’re not trying to create a conspiracy theory. What we mean is this: large language models (LLMs) aren’t “entities” or “beings.”

A team of researchers at RespAI Lab, KIIT Bhubaneswar, KIMS Bhubaneswar, and Monash University, Australia today published a fascinating preprint research paper that takes a mighty bludgeon to the notion that AI can predict medical diagnosis. 

According to a fresh preprint from Xinghong Fu, Ziming Liu, and Max Tegmark over at MIT’s Institute of Artificial Intelligence and Fundamental Interactions, when formulating initial theories, AI agents trained to conduct research tend to gravitate toward Hamiltonian mechanics. 

OpenAI says 500 million people use ChatGPT. And, even though it’s exactly as smart as a toaster, everyone seems to think it’s the cat’s meow.

The average American doesn’t believe that AI will make their lives better any time soon, according to a recently published survey from Pew Research.

And more money and more money and more money…

A team of researchers from Gaoling School of Artificial Intelligence at the Renmin University of China, with support from the Alibaba Group, published a preprint on Monday, March 31, that seems to indicate the impossible: algorithms can think.

SoftBank bets $1T on US robotics infrastructure, China pours $888B into its own, and Tesla calls for a national robotics strategy.