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C.<p><span class="h-card" translate="no"><a href="https://bsky.brid.gy/r/https://bsky.app/profile/sarahjeong.bsky.social" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>sarahjeong.bsky.social</span></a></span> </p><p>Yeeaaa... it's a different approach.</p><p>(Don't read this as a defence of Musk, he's a turd, but SpaceX has competent technical people below their chimpanzee-on-a-string PR person)</p><p>NASA's traditional approach was to basically achieve perfection of design and manufacturing before trying to launch anything. Look at every possible failure mode of every component, down to the tiniest screw or wire or bit of plastic. Keep redesigning parts until you eliminate all failure modes that you don't have triply-redundant backups for. Test the living snot out of everything on the ground, in the lab. Have massive technical and safety reviews to ensure nothing was missed, anywhere.</p><p>It worked about as well as anything could, but it was extremely slow, bureaucratic, and above all incredibly expensive. Tons of rework when issues were found meant having to go back 3 steps to change something, and then redo the massive amount of work that had been done since then to make sure no new failure modes were possible, etc.</p><p>SpaceX is doing things differently - <a href="https://mindly.social/tags/iterative" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>iterative</span></a> design. You design, build, <a href="https://mindly.social/tags/integrate" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>integrate</span></a>, and <a href="https://mindly.social/tags/test" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>test</span></a>-to-failure as often as possible to learn where the weak spots are -- you then rapidly iterate when you find the problems. "Rapid Unscheduled Disassembly" is an expected part of the process - it's how you learn the limits of what you've built, where the problems are.</p><p>Neither one is "the right way". They both work.</p><p><a href="https://mindly.social/tags/IterativeDevelopment" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>IterativeDevelopment</span></a></p>
JMLR<p>&#39;Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming&#39;, by Sen Na, Michael Mahoney.</p><p><a href="http://jmlr.org/papers/v26/24-0530.html" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v26/24-0530.ht</span><span class="invisible">ml</span></a> <br /> <br /><a href="https://sigmoid.social/tags/optimization" class="mention hashtag" rel="tag">#<span>optimization</span></a> <a href="https://sigmoid.social/tags/iterative" class="mention hashtag" rel="tag">#<span>iterative</span></a> <a href="https://sigmoid.social/tags/iteration" class="mention hashtag" rel="tag">#<span>iteration</span></a></p>
Rob Carlson :ally: :BLM:<p>Here with Mansi for “<a href="https://epistolary.org/tags/Programming" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Programming</span></a> and <a href="https://epistolary.org/tags/Parenting" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Parenting</span></a>”, some notes:</p><p>- <a href="https://epistolary.org/tags/Iterative" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Iterative</span></a> development: adjustments and bug fixes as you go, for kids is Sleep, routines, feedback from reactions<br>- Handling the unexpected: How do you handle <a href="https://epistolary.org/tags/exceptions" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>exceptions</span></a> cleanly? How do you react to random kid behavior?<br>- Debugging: <a href="https://epistolary.org/tags/test" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>test</span></a> solutions until problem is solved, for kids there will be a solution eventually<br>- Balancing <a href="https://epistolary.org/tags/complexity" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>complexity</span></a>: Only when absolutely necessary, one step at a time for processes<br>- Celebrate wins - When you solve, brag about it, when kids to the same congratulate them</p><p><a href="https://epistolary.org/tags/bcphilly" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bcphilly</span></a> <a href="https://epistolary.org/tags/barcamp" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>barcamp</span></a></p>
David Sabine<p>Moments away from opening my Professional Scrum with User Experience course. (PSU)</p><p>It's one of my favourite courses to teach. The material is important for everyone who attempts to blend <a href="https://mastodon.social/tags/UX" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UX</span></a> and <a href="https://mastodon.social/tags/Iterative" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Iterative</span></a>&amp;Incremental <a href="https://mastodon.social/tags/Software" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Software</span></a> <a href="https://mastodon.social/tags/Development" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Development</span></a>.</p>
Kristin (vis.social Admin)<p>Some dancing starfish for today's <a href="https://vis.social/tags/inkyDays" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>inkyDays</span></a> drawing. With my recovery from surgery, I can't really dance yet, but I'm dancing on the inside.</p><p>Here's an in-progress shot.</p><p>And that's a wrap for this month's daily drawings. In-progress and complete drawings for this month are now all posted for my supporters on patreon and kofi in this month's <a href="https://vis.social/tags/inkyDays" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>inkyDays</span></a> posts:<br><a href="https://www.patreon.com/posts/101521238" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">patreon.com/posts/101521238</span><span class="invisible"></span></a><br><a href="https://ko-fi.com/Post/InkyDays-April-2024-N4N0WEJT0" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">ko-fi.com/Post/InkyDays-April-</span><span class="invisible">2024-N4N0WEJT0</span></a></p><p><a href="https://vis.social/tags/ink" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ink</span></a> <a href="https://vis.social/tags/drawing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>drawing</span></a> <a href="https://vis.social/tags/art" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>art</span></a> <a href="https://vis.social/tags/starfish" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>starfish</span></a> <a href="https://vis.social/tags/seastars" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>seastars</span></a> <a href="https://vis.social/tags/MastoArt" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MastoArt</span></a> <a href="https://vis.social/tags/iterative" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>iterative</span></a> <a href="https://vis.social/tags/GenerativeArt" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GenerativeArt</span></a> <a href="https://vis.social/tags/wip" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>wip</span></a></p>
JMLR<p>&#39;Online Stochastic Gradient Descent with Arbitrary Initialization Solves Non-smooth, Non-convex Phase Retrieval&#39;, by Yan Shuo Tan, Roman Vershynin.</p><p><a href="http://jmlr.org/papers/v24/20-902.html" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">http://</span><span class="">jmlr.org/papers/v24/20-902.html</span><span class="invisible"></span></a> <br /> <br /><a href="https://sigmoid.social/tags/stochastic" class="mention hashtag" rel="tag">#<span>stochastic</span></a> <a href="https://sigmoid.social/tags/iterative" class="mention hashtag" rel="tag">#<span>iterative</span></a> <a href="https://sigmoid.social/tags/optimization" class="mention hashtag" rel="tag">#<span>optimization</span></a></p>
JMLR<p>&#39;Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels&#39;, by Hao Wang, Rui Gao, Flavio P. Calmon.</p><p><a href="http://jmlr.org/papers/v24/21-1396.html" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v24/21-1396.ht</span><span class="invisible">ml</span></a> <br /> <br /><a href="https://sigmoid.social/tags/generalization" class="mention hashtag" rel="tag">#<span>generalization</span></a> <a href="https://sigmoid.social/tags/stochastic" class="mention hashtag" rel="tag">#<span>stochastic</span></a> <a href="https://sigmoid.social/tags/iterative" class="mention hashtag" rel="tag">#<span>iterative</span></a></p>