"We already expect quite a lot from the public in terms of media literacy to be able to navigate the contemporary information environment; the use of these technologies in news adds a whole other layer to that."
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.
why not cut out the middleman if they’re just serving me AI content.
When you have a workflow like:
human
AI extend
AI summarize
you
…the reason is that AI middlemen would rather rake in the benefits from providing both AI services, instead of getting cut out.
There is a secondary benefit in that an “AI extended” human input, is more suitable for third party AI readers… so arguably the web is becoming more AI friendly (you can thank us later, future AI overlords).
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.
When you have a workflow like:
…the reason is that AI middlemen would rather rake in the benefits from providing both AI services, instead of getting cut out.
There is a secondary benefit in that an “AI extended” human input, is more suitable for third party AI readers… so arguably the web is becoming more AI friendly (you can thank us later, future AI overlords).
PS: GPT-4 compatible version: “y n0t 🗑️👥 if AI📺? wf: 1.👤 2.AI+ 3.AI- 4.👁️ cuz AI👥💰4AI+&AI-. AI+👤👍4AI👁️… web👉AI👌 (🙏🏻AI👑)”