This third party browser extension looks like it hides UI contents whereas with Kagi your preferences are used in what is actually returned from the search engine and in what order. I don't think these things are all that similar.
Filter lists can be hosted anywhere and imported with the @ syntax:
# Make these domains stand out in results
+en.wikipedia.org
+stackoverflow.com
+github.com
+api.rubyonrails.org
# SPAM - never show these results
experts-exchange.com
# Pull filters from external source
@https://clobapi.herokuapp.com/default-filters.txt
This default list is the only one I distribute but users have come up with own lists.
It would be nice to have a Github repo with such lists (or meta lists: the @ syntax works recursively, allowing lists to import other lists).
Your suggestion of having a standard for the list syntax is interesting.
A related question is: "What is the smallest fixed set of guesses which always solve Wordle, narrowing down possible hidden words to just one?". So far the answer is 8: MODEL LEVIN TAPPA GRABS DURGY FLYTE CHAWK SPOOR [1].
Bringing this down to 5 would mean that one could always win at Wordle with the same set of 5 guesses. Seems unlikely that such a solution exists, but interesting question nonetheless.
Very cool idea. How does fine tuning the SVD initialization compare to training from random initialization using the same architecture? I couldn't find this in the paper.
These older word embedding models (word2vec, GloVe, LexVec, fastText) are being superseded by contextual embeddings ( https://allennlp.org/elmo ) and fine-tuned language models ( https://ai.googleblog.com/2018/11/open-sourcing-bert-state-o... ). These contextual models can infer that "bank" in "I spent two hours at the bank trying to get a loan" is very different from "The ocean bank is where most fish species proliferate."
One feature that I really like on my Mac was iTerm2's persistence (tabs and outputs preserved across reboots). This is particularly important where I live because we have frequent electric outages.
Cool I didn’t know ITerm2 was persistent across reboots. I like it because it supports inline matplotlib plots both locally and remote SSH connections.
Even the defaults match this Kagi top list.