Earlier quoted context omitted.
And it got the most basic detail, the score of the game, wrong. Even at the cost of only a few cents it's worthless.
seems like this is a solvable problem with just a bit more engineering effort, but yeah... totally worthless
ESPN AI recap of Alex Morgan’s final professional match fails to mention her
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Re: ESPN AI recap of Alex Morgan’s final professional match fails to mention her
#152Earlier quoted context omitted.
ESPN has been in decline since longer than LLMs have been around. More explicit use of AI is just accelerating the downward spiral.
Absolutely correct! In the old days it was mostly video replay and witty banter describing what you were watching, which was fun to watch. Now it's become something I couldn't care less about, which is less video and someone telling me what I should think about what I just watched.
Broadcast media outlets fail at that. I don't know much about sports but even I can tell that people on TV are speaking in vague generalities so they can never be proven wrong. I get told that the team that lost "didn't want to win" as if people getting paid millions a year to win at sports aren't motivated.
When people are afraid of being proven wrong above all else, they avoid making any substantive claims. If someone isn't afraid of that, they'll make more interesting predictions I can't get elsewhere, and eventually it'll be a more enjoyable product because I can make fun of that person for being wrong.
Re: ESPN AI recap of Alex Morgan’s final professional match fails to mention her
#153It's pretty funny to me that this is used as a hit-piece against AI generated content. Here's an open-secret for everyone: web-based sports content companies have been automatically generating content articles for at least a decade; way before LLMs became popular. It is and was mostly done for search ranking. The more seemingly applicable content, the better your SEO. This situation has probably happened several time…
Re: ESPN AI recap of Alex Morgan’s final professional match fails to mention her
#154Earlier quoted context omitted.
That's not quite how it worked. There are basically two types of content when it comes to these sports recap articles. I'm also excluding opinions/editorials because those are completely different. 1. low profile, not-so-popular content. eg. A Canadian Football League preseason game between the Toronto Argonauts and BC Lions This was still generated using a template. No human intervention except maybe double-checking…
> This was still generated using a template. No human intervention except maybe double-checking it before publishing it. This was before AI, too. Odd question but is that why the banal reporting on so many websites is such utter shit? Like in all dimensions, it gets facts wrong, it's usually rife with spelling and grammatical errors... when I spend too much time online I start feeling like the sole person on the plan…
Re: ESPN AI recap of Alex Morgan’s final professional match fails to mention her
#155but most likely the result of opposite-end backlash from the past where LLM's would name people in a way that could compromise their privacy
upon which they were made "safer" by AI companies making stop dropping names as much as possible
Re: ESPN AI recap of Alex Morgan’s final professional match fails to mention her
#156It's pretty funny to me that this is used as a hit-piece against AI generated content. Here's an open-secret for everyone: web-based sports content companies have been automatically generating content articles for at least a decade; way before LLMs became popular. It is and was mostly done for search ranking. The more seemingly applicable content, the better your SEO. This situation has probably happened several time…
Re: ESPN AI recap of Alex Morgan’s final professional match fails to mention her
#157Earlier quoted context omitted.
So you're are telling me AI is as bad as the previous method, with more data and higher energy consumption?
Well, previously you needed an intern working maybe an hour (of they actually wrote good content, obviously more), that intern needs food, air conditioning / heating, so I'm not sure which consumes less energy. Now you have it in a minute and for a predictable low fee.
Re: ESPN AI recap of Alex Morgan’s final professional match fails to mention her
#158Earlier quoted context omitted.
seems like this is a solvable problem with just a bit more engineering effort, but yeah... totally worthless
You should just need a better prompt. I think everyone would benefit from using a standardized prompt which asks the model to think through its work between ` ` tags before writing its response, and also reflecting on the response between ` ` tags, and then outputting the final response afterwards
Re: ESPN AI recap of Alex Morgan’s final professional match fails to mention her
#159Earlier quoted context omitted.
> I see SEO as a make work project to support Wall Street valuations. You're missing the whole middle part about users and revenue. SEO alone does not a Wall Street valuation make. Maybe the indictment here should instead be about discovery and how we share ideas and utility with one another.
> You're missing the whole middle part about users and revenue. SEO alone does not a Wall Street valuation make. Are they? Or are you over-estimating that part?
Do you have an example of a company whose valuation is driven principally by eyeballs? Not metrics tied to eyeballs, e.g. ad revenue. Just eyeballs.
Re: ESPN AI recap of Alex Morgan’s final professional match fails to mention her
#160It's pretty funny to me that this is used as a hit-piece against AI generated content. Here's an open-secret for everyone: web-based sports content companies have been automatically generating content articles for at least a decade; way before LLMs became popular. It is and was mostly done for search ranking. The more seemingly applicable content, the better your SEO. This situation has probably happened several time…
Well AI certainly didn't make it better in this case. The fact that it is profitable to make this generic sports-lingo-laced content is, on its own, pretty depressing.
Unless anything extraordinary happens, every post game interview features the same questions with the same answers and every article about the game looks the same with only the names of the participating players and their stats changing.