Teixi<p><span class="h-card" translate="no"><a href="https://fediscience.org/@ekmiller" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>ekmiller</span></a></span> </p><p>» The point of the bitter lesson is that the right learning algorithms (those that scale efficiently with massive computation) are exactly what we need.<br>Massive computation does not alleviate the need for data efficiency «</p><p>24/11/2023 <a href="https://mastodon.social/tags/RichardSutton" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RichardSutton</span></a></p><p>Nowadays neuroscience forever expansing body of literature, spreading across different subfields, disperse schools, training practices, and multiple sets of technologies. Instead attempts for building a comprehensive knowledge consensus.</p>