Google AI embarrasses itself when asked to perform the one simple task computers have always been good at
If you're going to force me to talk to the computer, it better be smarter than this.
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Thanks to the breathtaking power of artificial intelligence, we may now use natural language to beg the computer to perform a function that once came as naturally to its binary brain as breathing does to ours. Google—a company worth 3.5 trillion dollars, uncontested owner of both the almighty internet search algorithm and the web browser, has overengineered its latest Discover feed AI curation tool to such an extent that it cannot simply block a website from appearing as a source.
Google's 'Tailor your feed' feature, introduced a few months ago, adds a familiar chat prompt that encourages you to type something like "Keep me updated on what's happening in college basketball" to curate what shows up in your Discover feed. Discover, if you're not familiar, is what Google calls the list of recommended stories that shows up when you open a new tab in Chrome, and is also built into the Google app and Android.
'Tailor your feed' is an experimental "Lab" feature you have to enable manually. I can't recommend it, because it will make you feel mad, sad, and dumb, not necessarily in that order.
Article continues belowI'm no computer scientist, but my understanding is that all the stuff we're doing On Here ultimately distills down to, y'know, binary: on or off, yes or no, zero or one. On one hand, this is such an oversimplification of technology that it may have little bearing on the complexities of the large language models and mystery algorithms that power modern AI agents. On the other hand, I don't think that actually matters when the end result of that modern complexity is failing at a task as simple as yes or no. I enabled 'Tailor your feed' so that I could tell Discover to completely block X.com links from appearing in the list of curated stories, because I really don't need to see what the worst people in the world are saying when I'm scrolling for headlines about new brunch spots in my neighborhood. And here's what happened when I made that request:
You won't see as many posts from X going forward.
I can't guarantee you'll see none of something.
As I found with a quick search on Reddit, I'm not the only person who's tried this solution since Google started flooding Discover with posts from X in late 2025. (Given that Google could pull quality writing from a billion websites and blogs across the internet, I have to wonder why it instead decided the site that was plagued with AI-generated child sexual assault imagery was an ideal source.) After typing in something similar, one Redditor reported seeing only "one story from X as opposed to the usual dozen."
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"It needs constant reminding but better than it was…" the Redditor wrote recently.
So is Google placing its thumb on the scale by refusing to remove a paying partner entirely from its feeds, or has it developed a piece of AI software so staggeringly stupid that it can't even create a blacklist (or 'blocklist' as they're more often called these days)? The entire damn internet is built around blocklists. Google Chrome has built-in blocklists of websites it deems unsafe. Every piece of antivirus software in existence? Blocklists. Internet Explorer had blocklists in 1996!
What are we doing here, man. "I can't guarantee you'll see none of something" should be a vastly more difficult operation for a computer than "zero." Google Labs is out here spending billions of dollars trying to unsolve problems. This new frontier for software is indeed revolutionary, because I've never simultaneously felt embarrassed for the computer and for myself when trying to coax it into the simplest possible action.
It's clearer than ever that big tech's vision for the algorithms choking the life from the internet springs from the idea that they know better than we do what we actually want. It really is time to turn off the recommendations and ditch this stuff once and for all. RSS awaits.

Wes has been covering games and hardware for more than 10 years, first at tech sites like The Wirecutter and Tested before joining the PC Gamer team in 2014. Wes plays a little bit of everything, but he'll always jump at the chance to cover emulation and Japanese games.
When he's not obsessively optimizing and re-optimizing a tangle of conveyor belts in Satisfactory (it's really becoming a problem), he's probably playing a 20-year-old Final Fantasy or some opaque ASCII roguelike. With a focus on writing and editing features, he seeks out personal stories and in-depth histories from the corners of PC gaming and its niche communities. 50% pizza by volume (deep dish, to be specific).
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