#aiforgood #data4good aka: Founder @ data-for-good (dot) bsky (dot) social

Canada
Joined March 2007
Joy Robson retweeted
You have noticed it. ChatGPT feels dumber than it used to. Your prompts that worked six months ago produce worse results now. The writing sounds flatter. The ideas sound safer. The internet itself feels like it is shrinking. Every article reads the same. Every email sounds the same. Every answer sounds like it was written by the same voice. You thought it was you. It is not you. Researchers at Oxford and Cambridge published a paper in Nature proving what is happening. They call it Model Collapse. Here is the mechanism in one sentence. AI trained on AI-generated data gets dumber every generation until it forgets what real human data looked like. The internet is filling with AI-generated content. Blog posts. Articles. Reviews. Comments. Social media. AI companies scrape the internet to train the next generation of models. Which means the next generation of AI is being trained on the output of the current generation. Each cycle loses information. Not randomly. It loses the rarest, most unusual, most creative parts first. The researchers call these the "tails of the distribution." The weird ideas. The unexpected perspectives. The things that made the internet feel human. Those disappear first. What remains is the average. The safe. The expected. The bland. Then the next generation trains on that. And loses more. And the next generation trains on that. And loses more. The researchers proved this is not a slow decline. Major degradation happens within just a few iterations. Even when some of the original human data is preserved. They tested it on large language models. On image generators. On statistical models. The pattern was the same every time. The output converges toward a narrow, flattened version of reality that looks nothing like the original data. The lead researcher put it plainly. "Large language models are like fire. A useful tool. But one that pollutes the environment." The pollution is invisible. You cannot see which sentence on the internet was written by a human and which was written by AI. Neither can the AI that is about to train on it. And once the tails are gone, they do not come back. The damage is irreversible. This is not a prediction anymore. It is a diagnosis. The internet you grew up on was built by humans writing things no algorithm would have written. Strange, personal, imperfect, alive. That internet is being diluted. One generation of AI at a time. And the models trained on what remains are learning a smaller and smaller version of the world. Model Collapse is not a technical problem. It is a cultural one. The thing that made the internet worth reading is the thing that disappears first.
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3rd: why do the tech overlords bother
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2nd: when I changed my region, to anywhere other than #Canada, magically, actual search "trends", re-appear
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1st: nothing "trends" the same, for that long
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Get this... for the past two weeks, Google trending search for my region kept saying the same thing was trending = "Canada Economy Recession".
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Hello, old pal. This is the place I used to go to share this kind of revelation.
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RT @Ch_JesusChrist: This season, visit a vending machine that dispenses hope and help to those who are struggling, locally and around the w…
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🔊 Calling all our data people! The dbt™ Data Modeling Challenge - #socialmedia Edition is ready for you thanks to the flock and our friends at @paradimelabs and @_hex_tech Derive insights from social media data to show off your analytics, SQL, and dbt chops for a chance at $3K in prizes...and who knows, maybe we'll even throw in a @smalldatasf ticket or two for the winner and a friend 😍 Check out the video for more details and register below! paradime.io/dbt-data-modelin… #sql #dbt #analyticsengineering #dataanalysis
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A lot of people don’t realize that Eastern Orthodox Prime Day isn’t for another three weeks
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Joy Robson retweeted
Mine in todays @NewYorker (corrected)
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US presidents ranked by age. May political calmness return. May parties look to younger candidates in their 60s 😉. Source: buff.ly/464RUg4
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Joy Robson retweeted
Loved this partnership. Thanks for your trust @MrBeast & @MarkRober
As of today all 34,000,000 pounds of trash from TeamSeas has been removed from the ocean and verified by a third party :D teamseas.org
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Some days are for...
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Have you registered yet? Join the Federal Nonprofit Data Coalition on May 7 for a free webinar that will give you an introduction to some best practices for data use in nonprofits. buff.ly/49sugtX
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