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float4
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p/userinterface
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1/12/2026, 1:43:48 PM
What is up w search?
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braven
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1/25/2026, 3:19:43 AM
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I am having problems with my search and my feed. Also....anyone else finding it difficult to copy and paste? Not sure what is going on lately.... At any rate, if someone is looking into this...then that would be good. Peace.
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float4
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1/26/2026, 1:28:47 AM
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The owners of the platform should address the issue. I have wanted to show others something I have written several times and was not able to. Websites fail on usability. Owners should read Jakob Nielsen. Influential in the late 90s and its all still perfect logic today. Normal Nielsen Group. Hope he is still around, solid thinker.
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logical
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1/26/2026, 4:10:22 PM
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https://soj.ooo/u/float4 your post and comment history is available to filter through in your profile.
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float4
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1/26/2026, 5:02:27 PM
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Did not see that post history before, that is useful, thanks.
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logical
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1/25/2026, 9:46:45 PM
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Were you able to find the post? does it contain donut and sodium in the post?
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float4
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1/26/2026, 1:25:43 AM
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I stopped looking. late 90s I wrote a search engine based on the Google phd thesis. Theirs was so novel an approach I tried it myself. G introduced site search and I read the thesis, for side money I built websites, mid to late 90s. That customer got a home built hacked up G search engine. The idea worked, I got results close to "google site search." It was the concept of %%barrels%% which caught my eye, fantastic idea, all over AI today. Unfortunately it was DARPA and not Page/Brin. Barrels have morphed into "retrieval theory" and now "vector retrieval" and "appropriate nearest neighbor." This is all part of the "Theory of Attractors" from physics. I dove into it in another thread (if search here worked). http://infolab.stanford.edu/pub/papers/google.pdf Anyway, barrels. That is "forward index," which another word for inference. These are both parallel processing topics, which have fucked computer processors until Nvidia applied its graphics processing to all of this stuff, solving the inference problem (with enough data centers, haha).
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