Imo, the true fallacy of using AI for journalism or general text, lies not so much in generative AI’s fundamental unreliability, but rather it’s existence as an affordable service.
Why would I want to parse through AI generated text on times.com, when for free, I could speak to some of the most advanced AI on bing.com or openai’s chat GPT or Google bard or a meta product. These, after all, are the back ends that most journalistic or general written content websites are using to generate text.
To be clear, I ask why not cut out the middleman if they’re just serving me AI content.
I use AI products frequently, and I think they have quite a bit of value. However, when I want new accurate information on current developments, or really anything more reliable or deeper than a Wikipedia article, I turn exclusively to human sources.
The only justification a service has for serving me generated AI text, is perhaps the promise that they have a custom trained model with highly specific training data. I can imagine, for example, weather.com developing highly specific specialized AI models which tie into an in-house llm and provide me with up-to-date and accurate weather information. The question I would have in that case would be why am I reading an article rather than just being given access to the llm for a nominal fee? At some point, they are not no longer a regular website, they are a vendor for a in-house AI.
I might be mistaken, but these Intel based machines might be better for switch emulation, as they share dedicated hw for the particular form of texture decompression they use. One cool potential upside