• /repair-and-service-centre-cheadle.php

    /repair-and-service-centre-manchester.php

    Same content every time. Just the town name swapped. No real local relevance. Thin copy, no useful information. Textbook doorway spam.

    But here’s what stands out. You can type anything you like in the URL and it still works. For example, you can insert…

    /repair-and-service-centre-big-boobs.php

    /repair-and-service-centre-wife-from-thailand.php

    …or anything you want in the URL. The site just dynamically inserts whatever you put in the URL. It’s all templated. Anyone with a script could generate thousands of these in a few minutes.

    This stuff is ranking well in local results. I’ve reported it through the Google report page a few times, but nothing ever seems to happen. I don’t even know if they read them?

    How is this still working in 2025? Has Google just given up on this type of spam?

    If anyone’s curious, I put together a short list of example URLs here: [https://pastebin.com/Wd4Bq6Yt](https://pastebin.com/Wd4Bq6Yt) \- It includes working manipulated URLs and examples of their broader spam setup. They lead you to manipulated versions too, lists of their pages doing it – all of it. How to get this network of spam actually noticed by Google?

    I’d be interested to know if anyone’s actually managed to get something like this taken down, or if we’re all just wasting our time with the report form. And more to the point, wasting our time trying to do local SEO properly? If rubbish like this still works, we may as well all just put up sites with a few thousand spammy doorway pages full of AI slop for every customer.

  • If you suspect any usage we haven’t spotted, report it – we are a group of volunteers on a huge sub and things often slip through the net.

    I’m sure all users are on the same page here in terms of not letting AI generated content take over here, so it requires us all to work together. Thanks!

  • I’m working on a Web3-based platform where vendors digitally commit to product specs using smart contracts. One challenge I’m facing:

    After a sale, the buyer could potentially raise a false complaint by swapping the original product with a similar but defective version—hurting the vendor’s credibility unfairly.

    I want something that can:
    Help detect if the returned item is actually the one sold
    Prevent bad actors from exploiting the complaint system to ruin a seller’s reputation

    Would love to hear how others are solving or approaching this issue.
    Any ideas around hardware tags, delivery acknowledgment, zk proofs, or decentralized verification mechanisms are welcome!

    Thanks in advance!

  • * GARCH long term forecasts decay to the mean -> unrealistic
    * I inject Gamma distributed noise to make the paths stochastic and more lifelike

    What worked:

    * Stochastic Volatility paths look way more natural than GARCH.
    * Comparable to Heston model in performance, but simpler (No closed form though).

    What didn’t:

    * Tried a 3-state Markov chain for regimes… yeah that flopped lol. Still, it’s modular enough to accept better signals.
    * The vol-of-vol parameter (theta) is still heuristic. Haven’t cracked a proper calibration method yet.

    Here’s the SSRN paper: [https://papers.ssrn.com/sol3/papers.cfm?abstract\_id=5345734](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5345734)

    Thoughts and Feedbacks welcome!

  • Basically title. If I ask Gemini Pro to do keyword research for me, it sometimes brings some keywords that it claims are relevant (and it seems to be so by SERP eye-test), but don’t have enough volume on Semrush. Some of the more long-tail ones are not even considered.

    However, since Gemini is a Google product, I wonder if it its data is more or less reliable than Semrush’s. Or maybe is it just hallucinating? Do you usually trust Gemini’s keyword research features?

  • Anthropic’s contractor Surge AI left the list fully public on Google Docs.

    ‘Sites you can use’ include Bloomberg, Harvard, & the Mayo Clinic.

    Many of the whitelisted sources copyright or otherwise restrict their content.

    At least 3 – the Mayo Clinic, Cornell University, & Morningstar – told BI they didn’t have any AI training agreements with Anthropic.

    The spreadsheet also includes a blacklist of websites that Surge AI’s gig workers were “now disallowed” from using.

    The blacklist includes companies like the NYT & Reddit which have sued AI startups for scraping without permission.

  • My website that has video case studies section but the majority of those videos arent getting indexed or served in google video results, even though the pages are indexed. I keep getting “video isnt on a watch page warning

    Example of the page in question:

    \- URL contains “video”

    \-video is above the fold

    \-it has a unique thumbnail

    \-meta description and title are seo optimized and contain the word video

    \-there’re key points under the video (brief- no long transcript)

    \-video schema is present and valid

    \-page IS indexed

    \-video is detected but not indexed

    i also created pages that only contain video and nothing else. They are still not getting indexed, even though the page is.

    Looking for any advice.

  • # Study has found that people who report favorable views of Donald Trump also tend to score higher on measures of callousness, manipulation, and other malevolent traits—and lower on empathy and compassion.