AI

Combine compute power with vast amounts of data and there’s no reason why machines couldn’t do pretty much anything that you do. They just have to learn all the different circumstances in which “this” leads to “that.”

The tech industry is doing the same thing it did with the metaverse and social media: its gibberish is announcing its intentions to make tons of money as it pursues cool projects.

What’s for sure is that we don’t have to wonder when an AI will win a Golden Globe. It already has.

Add all of the blather about self-aware AI deciding one day to destroy humanity and you get a potent cocktail of distraction and reinvention that is existentially relevant right now.

And, as pixels resolve on web pages turning I realized my every moment now belonged to deep learning.

Let the folks behind AI get filthy rich but refuse to let them outsources the consequences and costs of their enrichment to us. The EU is silent on such things, so we need to speak up.

There are impossibilities inherent in the models for what’s possible in AI oversight. Those impossibilities get more real and likely as the systems get smarter.

AI has never been risk of annihilation OR enjoyment of benefits. It’s BOTH. Pushmi-pullyu.

My gut tells me that we’re going to have to reimagine how (and to whom or what) we assign responsibility for actions long before AI achieves artificial general intelligence (“AGI”), which is something OpenAI’s Sam Altman is doggedly pursuing. The conversation should be about ethics and liability law, not technology.

Tech toffs want to distract regulators. AI is about everything except tech.