Thread

1. gps372 · 1790076071 · focus · HN ↗

   Most comments may have ignored this so far, but this is an interesting AI based research.

   At the end of the article is this excerpt

   >> Results from this research were generated using an AI computer vision model developed by the research team on Bristol’s Isambard-AI, the UK’s most powerful AI supercomputer. Isambard-AI powered the analysis of 172.6 hours of live match footage from all 104 games played between 11 June and 19 July 2026.

   So, basically now merchandizers, auditors, compliance monitors, etc. have a tool using which they can quantify whether broadcaster complied with contractual requirements of showing their ads/merch/logos as per contract. And if they missed, then they can quantify the delta - to sue the broadcaster for the balance as well.

   Also, it can enable many countries, where certain content is not allowed, then this tool can simply give them data points without having to employ someone, or have someone review the output of the AI tooling.

   1. thevinter · 1790076342 · focus · HN ↗

      I'm sure this was already easily doable for years by using plain and boring computer vision

      1. gps372 · 1790077746 · focus · HN ↗

         Plain and boring computer vision would have still required a team who would identify frames to sample before processing, and then annotate, generalize and classify the data.

         Not an expert on this but I don't think same kind of manual effort is required anymore.

         1. unrented7977 · 1790103202 · focus · HN ↗

            It was never required because you already had the frames labeled. Because you gave the ad footage to the station. You created the ad, you already have a golden copy, you just need to verify N sequential frames match to within X percent of pixels.

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