VorticonCmdr

love it. I did build a html-in-canvas version (https://github.com/VorticonCmdr/lemmings) for fun and I love how creative other people get

This is so cool! Thanks for sharing. I would love to see this but for a DOS shell. Sounds like a great weekend project.

Great work. I hope we will see a lot of preservation work done now that AI can help with that. I did something very similar recently: https://github.com/VorticonCmdr/pushover

HTML-in-canvas is a new original-trial feature of Chrome I wanted to experiment with. You don't need Chrome Canary. You can enable the feature in "normal" Chrome (148 to 154 see here https://developer.chrome.com/origintrials/#/view_trial/34784...) as well just go to chrome://flags/#canvas-draw-element and change it to "enabled"

have a look at Simhash as well: https://www.matpalm.com/resemblance/simhash/

Great work. Just Yesterday I thought about LLMzip and asked myself if this is something which could vastly improve HTML compression when done at Google scale and shipped with browsers. I haven't done any research though.

Did you check the original title?

This reminds me a lot of simhashing e.g. https://matpalm.com/resemblance/simhash/

Most likely because it is older. WinRAR was first released 1995 according to Wikipedia, 7-Zip 1999.

I am guessing that there is not a a lot of secrecy needed because the SEO team is not the search team.

Hi,

I don't use a extra full-text search for my browser history. Why? Because usually searching the headlines and/or urls is enough.

In order to fulltext-search all the webpages one has to crawl and index all the pages first. While crawling might be easy (since you visit the pages anyways), indexing and then searching is a bit more tricky.

One idea for a useful homebrew plugin might be to make use of Google Custom Search. Since Google is quite good at crawling, indexing and searching this might be something to look into.

I am interested if you come up with something useable.

Regards, Valentin

I totally agree. All other options did not satisfy my need for a replacement.

Google Analytics Experiments

spell correction is somewhat of the most popular and easy to understand problems where machine learning can help. For example: several user enter a misspelled word and then correct them in the next step. If this happens often enough you might infer that the second word is most probably the correct version, especially if the second word has a small levenshtein -distance to the first.

You can use it this way. But what does the data tell? Group A is definitely performing better than group B or better it is not a random coincidence that group A is better performing.

Very cool. Does anyone know why some areas are somewhat blueish. And what about the very bright stars?

An interesting idea. Do you believe he can succed?

Yeah. I also would trust a machine translated page to configure a key tool in my infra-structure.

spam

Sounds like a plan :-)

I would love to have that "Plugin" for the Windows version of Chrome.