Companies need to start implementing into their processes ASAP, lest they fall behind those that are doing so. Many companies are just blindly giving employees subscriptions to services like ChatGPT without really giving them any real training or effective use cases. Here’s an example from Amazon, one company that seems to be doing it right.
Accuracy in AI is one of the most widely cited concerns of the technology. But as Sam Altman from OpenAI says “the tools you’re using now are the worst ones you’re ever going to use.”
In other words, things are getting a lot better. However it’s going to definitely take real solid progress to win back some of the distrust that’s been established from some high profile cases where things have gone (very) awry!
Well, this may be a good step in the right direction…
The Lex Friedman podcast with the Neuralink team is the longest podcast I’ve ever listened to but incredibly good! So amazing what their team is
It’s great news that companies like Mcafee are tackling issues like AI deepfakes with concerted effort. While these days I don’t believe much of what
And this is the way Silicon Valley works. Move fast, disrupt things, get in trouble and figure out how to pay some fines or license
This is the first example of an AI being up for election—and it’s inevitable that there will be many more. Of course it will not
To date, AI’s energy usage is one of the most concerning aspects of the technology, with some predictions putting it’s nupcoming global energy needs in
As the freight train of generative AI speeds along, it’s important to analyze and prepare for any risks along the way. I’m grateful that organizations
Now this is a solid business use of AI. Updating 850 million records of products is a massive headache and something generative artificial intelligence is
Voice enabled AI is going to be an increasing game changer in the world of generative AI. A whole new way of interfacing with technology
