doboprobodyne<p><span class="h-card" translate="no"><a href="https://hachyderm.io/@kellogh" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>kellogh</span></a></span> <span class="h-card" translate="no"><a href="https://mastodon.social/@mistersql" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>mistersql</span></a></span> </p><p>I beg your pardon; I saw only your second toot and pressed reply without looking for a first.</p><p>I think we are both right, but I had not twigged that you thought it improbable that folks might anthropomorphise the machines. In my limited experience humans have a low threshold for thinking in terms of analogy, and I suspect this leads to a low threshold for anthropomorphisation.</p><p>You're quite right about the dictionary definition of learning. I'm slightly hesitant to agree beyond that but because of my own ignorance rather than anything else: I am disinclined to call a "hard disk drive" "machine-knowledge" because it seems to me to be too close to thinking by analogy, when such is not necessary.</p><p>I know, it's a slippery slope to arguing with a reporter about learning by analogy like that famous video of Richard Feynman, or correcting one's grandchildren for being lazy using "car" as a contraction of "motor-car" (thanks Gran :P ), or readjusting one's students for saying "plane" when they mean "airplane".</p><p>As much as I wish "meta-algorithm" might be a preferred term, I realise it never will be. Forgive me; I think I replied on an optimistic day xD English teachers, indeed any linguists, everywhere will agree that language is a fickle mistress; perhaps only slightly less fickle than thought herself.</p><p>I hope it is some small consolation that I think right and wrong are constructs of the animal mind, that I accept p>0.05 as probably being real, and that we're probably both right.</p><p><a href="https://mathstodon.xyz/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mathstodon.xyz/tags/ML" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ML</span></a> <a href="https://mathstodon.xyz/tags/Datasets" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Datasets</span></a> <a href="https://mathstodon.xyz/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> <a href="https://mathstodon.xyz/tags/GAN" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GAN</span></a> <a href="https://mathstodon.xyz/tags/linguistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>linguistics</span></a> <a href="https://mathstodon.xyz/tags/language" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>language</span></a> <a href="https://mathstodon.xyz/tags/communication" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>communication</span></a> <a href="https://mathstodon.xyz/tags/hiveMind" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>hiveMind</span></a> <a href="https://mathstodon.xyz/tags/NLP" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NLP</span></a> <a href="https://mathstodon.xyz/tags/congnition" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>congnition</span></a></p>