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I refuse to believe that Twitter is so hammered by scrapers that it can’t even serve text content.
by spaceman_2020 3y ago
I refuse to believe that Twitter is so hammered by scrapers that it can’t even serve text content.
- nperez 3y agoI don't think it's about servers getting hammered so much as it's about AI causing them to rethink the value of their data, then deciding user hostility is the best way to extract said value
- ethanbond 3y agoOr just another stick to try to get people to pay. It’s like watching a precocious 7th grader play product manager.
- cududa 3y agoOr that they haven’t paid Google server bills for 4 months and Google threatened to cut them off on July 1st
- spaceman_2020 3y agoCan't wait for Elon's AI startup sending me answers in 1/35 threads. I think Elon's real plan is to ride the AI hype train, and the best way to do that is to pretend that Twitter is their "moat". With his capacity for bullshit and the market's willingness to give gobbles of money to bullshit, I'm sure he can ride his bullshit AI startup to $50B valuation easily.
- gmerc 3y agoAnd do tell us, what value would thar data actually have ? I mean apart from maybe training a model to run influence operations on failing twitter? In which world is the ‘data’ from twitter actually of any real world value with Chinchilla law pushing us from quantity to quality?
- deleted 3y ago[deleted]
- misnome 3y agoYeah, it sounds like bullshit, even before you notice who is saying it. I absolutely love that the solution is to penalise users for engaging with the platform; looking at replies for one tweet must be, what, a hundred tweets? And better not reply to something yourself because it’ll cause a timeline refresh and cost you another hundred quota!
- redsaber 3y agoif they penalize users, how they're going to get more data from the said users to sell.
- dawnerd 3y agoBut also to penalize paying customers. Sad part is people are defending him.
- belltaco 3y agoThere might be a huge uptick in scraping recently because of AI companies trying to train their own LLMs.