Ruth Mottram<p>After diving into this field for the last year, I very much agree with this bit: </p><p>"most of the near-term results using ML will be in areas where the ML allows us to tackle big data type problems more efficiently than we could do before. This will lead to more skillful models, and perhaps better predictions, and allow us to increase resolution and detail faster than expected. Real progress will not be as fast as some of the more breathless commentaries have suggested, but progress will be real."</p><p><a href="https://fediscience.org/@Ruth_Mottram/113775294023850288" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">fediscience.org/@Ruth_Mottram/</span><span class="invisible">113775294023850288</span></a><br>Ruth_Mottram - One of few <a href="https://fediscience.org/tags/ClimateBlogs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ClimateBlogs</span></a> to still reliably get good comments, likely because of insightful content : @RealClimate has a very good piece by @climateofgavin on <a href="https://fediscience.org/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> in <a href="https://fediscience.org/tags/climatemodels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>climatemodels</span></a> with which I concur completely</p><p><a href="https://www.realclimate.org/index.php/archives/2024/12/ai-caramba/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">realclimate.org/index.php/arch</span><span class="invisible">ives/2024/12/ai-caramba/</span></a></p>