<p>Test API post please ignore thanks fam! <a href="https://mastodon.social/tags/Testing" class="mention hashtag" rel="tag">#<span>Testing</span></a> <a href="https://mastodon.social/tags/YOLO" class="mention hashtag" rel="tag">#<span>YOLO</span></a></p>

<p>Test API post please ignore thanks fam! <a href="https://mastodon.social/tags/Testing" class="mention hashtag" rel="tag">#<span>Testing</span></a> <a href="https://mastodon.social/tags/YOLO" class="mention hashtag" rel="tag">#<span>YOLO</span></a></p>

<p><span class="h-card" translate="no"><a href="https://mastodon.social/@gamingonlinux" class="u-url mention">@<span>gamingonlinux</span></a></span> According to <a href="https://docs.joinmastodon.org/methods/statuses/#create" target="_blank" rel="nofollow noopener noreferrer" translate="no"><span class="invisible">https://</span><span class="ellipsis">docs.joinmastodon.org/methods/</span><span class="invisible">statuses/#create</span></a> and <a href="https://docs.joinmastodon.org/entities/Status/" target="_blank" rel="nofollow noopener noreferrer" translate="no"><span class="invisible">https://</span><span class="ellipsis">docs.joinmastodon.org/entities</span><span class="invisible">/Status/</span></a> the returned JSON from a create call contains the url of the new post.</p>

<p>With the <a href="https://mastodon.social/tags/Mastodon" class="mention hashtag" rel="tag">#<span>Mastodon</span></a> API, is there a way when posting to it, to get it to return the link of the new post? <a href="https://mastodon.social/tags/PHP" class="mention hashtag" rel="tag">#<span>PHP</span></a></p>

<p>Firaxis reveal Sid Meier&#39;s Civilization VII system requirements for Linux <a href="https://www.gamingonlinux.com/2024/12/firaxis-reveal-sid-meiers-civilization-vii-system-requirements-for-linux/" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://www.</span><span class="ellipsis">gamingonlinux.com/2024/12/fira</span><span class="invisible">xis-reveal-sid-meiers-civilization-vii-system-requirements-for-linux/</span></a></p><p><a href="https://mastodon.social/tags/CivilizationVII" class="mention hashtag" rel="tag">#<span>CivilizationVII</span></a> <a href="https://mastodon.social/tags/Civilization" class="mention hashtag" rel="tag">#<span>Civilization</span></a> <a href="https://mastodon.social/tags/Linux" class="mention hashtag" rel="tag">#<span>Linux</span></a> <a href="https://mastodon.social/tags/LinuxGaming" class="mention hashtag" rel="tag">#<span>LinuxGaming</span></a></p>

<p>Mesa 24.3.2 released with more graphics driver bug fixes for Linux <a href="https://www.gamingonlinux.com/2024/12/mesa-24-3-2-released-with-more-graphics-driver-bug-fixes-for-linux/" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://www.</span><span class="ellipsis">gamingonlinux.com/2024/12/mesa</span><span class="invisible">-24-3-2-released-with-more-graphics-driver-bug-fixes-for-linux/</span></a></p><p><a href="https://mastodon.social/tags/Mesa" class="mention hashtag" rel="tag">#<span>Mesa</span></a> <a href="https://mastodon.social/tags/Linux" class="mention hashtag" rel="tag">#<span>Linux</span></a> <a href="https://mastodon.social/tags/LinuxGaming" class="mention hashtag" rel="tag">#<span>LinuxGaming</span></a> <a href="https://mastodon.social/tags/OpenSource" class="mention hashtag" rel="tag">#<span>OpenSource</span></a></p>

<p><span class="h-card" translate="no"><a href="https://notacult.social/@carbontwelve" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>carbontwelve</span></a></span> I used machine learning in my PhD. The use case there was data prefetching. This was an ideal task for ML, because the benefits of a correct answer were high and the cost of an incorrect answer were low. In the worst case, your prefetching evicts something from cache that you need later, but a 60% accuracy in predictions is a big overall improvement.</p><p>Programming is the opposite. The benefits of being able to generate correct code faster 80% of the time are small but the costs of generating incorrect code even 1% of the time are high. The entire shift-left movement is about finding and preventing bugs earlier.</p>

<p><span class="h-card" translate="no"><a href="https://suya.place/users/a1ba" class="u-url mention">@<span>a1ba</span></a></span> <span class="h-card" translate="no"><a href="https://mastodon.social/@Shatur" class="u-url mention">@<span>Shatur</span></a></span> <span class="h-card" translate="no"><a href="https://mastodon.social/@QuadRadical" class="u-url mention">@<span>QuadRadical</span></a></span> Because i’m not going to run a community in ignorance and skirting laws hoping my government doesn’t come knocking</p>

<p><span class="h-card" translate="no"><a href="https://infosec.exchange/@david_chisnall" class="u-url mention">@<span>david_chisnall</span></a></span> your experience is how I expected mine to be if I had actually given the technology a chance.</p><p>Machine learning has been useful for decades, mostly quietly. The red flag against LLMs for me (aside from the authorship laundering and mass poaching of content) was there scramble by all companies to shoehorn it into their products, like a solution looking for a problem; I’ve yet to see it actually solve.</p>