deeplearning

<p>Hey everyone 👋</p><p>I’m diving deeper into running AI models locally—because, let’s be real, the cloud is just someone else’s computer, and I’d rather have full control over my setup. Renting server space is cheap and easy, but it doesn’t give me the hands-on freedom I’m craving.</p><p>So, I’m thinking about building my own AI server/workstation! I’ve been eyeing some used ThinkStations (like the P620) or even a server rack, depending on cost and value. But I’d love your advice!</p><p> My Goal:<br>Run larger LLMs locally on a budget-friendly but powerful setup. Since I don’t need gaming features (ray tracing, DLSS, etc.), I’m leaning toward used server GPUs that offer great performance for AI workloads.</p><p> Questions for the Community:<br>1. Does anyone have experience with these GPUs? Which one would you recommend for running larger LLMs locally?<br>2. Are there other budget-friendly server GPUs I might have missed that are great for AI workloads?<br>3. Any tips for building a cost-effective AI workstation? (Cooling, power supply, compatibility, etc.)<br>4. What’s your go-to setup for local AI inference? I’d love to hear about your experiences!</p><p>I’m all about balancing cost and performance, so any insights or recommendations are hugely appreciated. </p><p>Thanks in advance! 🙌</p><p>@[email protected] <a href="/tags/aiserver/" rel="tag">#AIServer</a> <a href="/tags/localai/" rel="tag">#LocalAI</a> <a href="/tags/budgetbuild/" rel="tag">#BudgetBuild</a> <a href="/tags/llm/" rel="tag">#LLM</a> <a href="/tags/gpuadvice/" rel="tag">#GPUAdvice</a> <a href="/tags/homelab/" rel="tag">#Homelab</a> <a href="/tags/aihardware/" rel="tag">#AIHardware</a> <a href="/tags/diyai/" rel="tag">#DIYAI</a> <a href="/tags/servergpu/" rel="tag">#ServerGPU</a> <a href="/tags/thinkstation/" rel="tag">#ThinkStation</a> <a href="/tags/usedtech/" rel="tag">#UsedTech</a> <a href="/tags/aicommunity/" rel="tag">#AICommunity</a> <a href="/tags/opensourceai/" rel="tag">#OpenSourceAI</a> <a href="/tags/selfhostedai/" rel="tag">#SelfHostedAI</a> <a href="/tags/techadvice/" rel="tag">#TechAdvice</a> <a href="/tags/aiworkstation/" rel="tag">#AIWorkstation</a> <a href="/tags/localai/" rel="tag">#LocalAI</a> <a href="/tags/llm/" rel="tag">#LLM</a> <a href="/tags/machinelearning/" rel="tag">#MachineLearning</a> <a href="/tags/airesearch/" rel="tag">#AIResearch</a> <a href="/tags/fediverseai/" rel="tag">#FediverseAI</a> <a href="/tags/linuxai/" rel="tag">#LinuxAI</a> <a href="/tags/aibuild/" rel="tag">#AIBuild</a> <a href="/tags/deeplearning/" rel="tag">#DeepLearning</a> <a href="/tags/opensourceai/" rel="tag">#OpenSourceAI</a> <a href="/tags/serverbuild/" rel="tag">#ServerBuild</a> <a href="/tags/thinkstation/" rel="tag">#ThinkStation</a> <a href="/tags/budgetai/" rel="tag">#BudgetAI</a> <a href="/tags/aiedgecomputing/" rel="tag">#AIEdgeComputing</a> <a href="/tags/questions/" rel="tag">#Questions</a> <a href="/tags/communityquestions/" rel="tag">#CommunityQuestions</a> <a href="/tags/homelab/" rel="tag">#HomeLab</a> <a href="/tags/homeserver/" rel="tag">#HomeServer</a> <a href="/tags/ailab/" rel="tag">#Ailab</a> <a href="/tags/llmlab/" rel="tag">#llmlab</a></p>

<p><a href="/tags/lispygopherclimate/" rel="tag">#lispyGopherClimate</a> <a href="/tags/emacsconf/" rel="tag">#emacsconf</a> ! <a href="/tags/archive/" rel="tag">#archive</a> pending <a href="https://communitymedia.video/c/screwtape_channel/videos" rel="nofollow" class="ellipsis" title="communitymedia.video/c/screwtape_channel/videos"><span class="invisible">https://</span><span class="ellipsis">communitymedia.video/c/screwta</span><span class="invisible">pe_channel/videos</span></a></p><p><a href="/tags/deeplearning/" rel="tag">#deepLearning</a> <a href="/tags/worstcasescenario/" rel="tag">#worstCaseScenario</a> <a href="/tags/chatgpt/" rel="tag">#chatGPT</a> <a href="/tags/llm/" rel="tag">#LLM</a> <a href="/tags/academic/" rel="tag">#academic</a> e.g. 2024. (side topic) <a href="/tags/ai/" rel="tag">#ai</a></p><p><span class="h-card"><a href="https://emacs.social/@eduardoochs" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>eduardoochs</span></a></span> <a href="/tags/emacs/" rel="tag">#emacs</a> problems and <a href="/tags/eev/" rel="tag">#eev</a><br><a href="https://emacsconf.org/2025/talks/modern/" rel="nofollow" class="ellipsis" title="emacsconf.org/2025/talks/modern/"><span class="invisible">https://</span><span class="ellipsis">emacsconf.org/2025/talks/moder</span><span class="invisible">n/</span></a></p><p><span class="h-card"><a href="https://fe.disroot.org/users/ramin_hal9001" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>ramin_hal9001</span></a></span> &#x27;s <a href="/tags/schemacs/" rel="tag">#schemacs</a> <a href="/tags/scheme/" rel="tag">#scheme</a> <br><a href="https://emacsconf.org/2025/talks/schemacs/" rel="nofollow" class="ellipsis" title="emacsconf.org/2025/talks/schemacs/"><span class="invisible">https://</span><span class="ellipsis">emacsconf.org/2025/talks/schem</span><span class="invisible">acs/</span></a></p><p>Mine (emacs as intelligent <a href="/tags/lisp/" rel="tag">#lisp</a> agents)<br><a href="https://gamerplus.org/@screwlisp/115677498331867468" rel="nofollow" class="ellipsis" title="gamerplus.org/@screwlisp/115677498331867468"><span class="invisible">https://</span><span class="ellipsis">gamerplus.org/@screwlisp/11567</span><span class="invisible">7498331867468</span></a></p><p>Neat: <a href="/tags/python/" rel="tag">#python</a> using lisp <a href="/tags/swank/" rel="tag">#swank</a> + <a href="/tags/slime/" rel="tag">#slime</a></p><p>+ <a href="/tags/climatecrisis/" rel="tag">#climateCrisis</a> <a href="/tags/haiku/" rel="tag">#haiku</a> from <span class="h-card"><a href="https://climatejustice.social/@kentpitman" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>kentpitman</span></a></span> !</p><p>telnet lambda.moo.mud.org 8888<br>co guest<br>@join mdh<br>&quot;hey <a href="/tags/emacs/" rel="tag">#emacs</a></p>

<p><a href="/tags/lispygopherclimate/" rel="tag">#lispyGopherClimate</a> <a href="/tags/live/" rel="tag">#LIVE</a> <a href="/tags/technology/" rel="tag">#technology</a> <a href="/tags/podcast/" rel="tag">#podcast</a> <br><a href="https://communitymedia.video/w/vY4A9hxkZEQCe47UBASXFa" rel="nofollow" class="ellipsis" title="communitymedia.video/w/vY4A9hxkZEQCe47UBASXFa"><span class="invisible">https://</span><span class="ellipsis">communitymedia.video/w/vY4A9hx</span><span class="invisible">kZEQCe47UBASXFa</span></a></p><p><span class="h-card"><a href="https://climatejustice.social/@kentpitman" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>kentpitman</span></a></span> <a href="/tags/climate/" rel="tag">#climate</a> <a href="/tags/haiku/" rel="tag">#haiku</a> and note on <a href="https://climate.us" rel="nofollow"><span class="invisible">https://</span>climate.us</a></p><p><span class="h-card"><a href="https://mastodon.linkerror.com/@jns" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>jns</span></a></span> <a href="/tags/gopher/" rel="tag">#gopher</a> <a href="/tags/phlog/" rel="tag">#phlog</a> about <a href="/tags/vcfmw/" rel="tag">#vcfmw</a> </p><p>Mastodon <a href="/tags/lisp/" rel="tag">#lisp</a> happenings recently <span class="h-card"><a href="https://appdot.net/@mdhughes" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>mdhughes</span></a></span> etc<br><a href="/tags/emacsconf/" rel="tag">#emacsconf</a> proposal deadline is Friday!</p><p>Otherwise, I did lots of <a href="/tags/commonlisp/" rel="tag">#commonLisp</a> <a href="/tags/programming/" rel="tag">#programming</a> this week and will talk about the <a href="/tags/gof_ai/" rel="tag">#gof_ai</a> &amp; <a href="/tags/deeplearning/" rel="tag">#DeepLearning</a> <a href="/tags/ai/" rel="tag">#AI</a> one, and maybe my spacetime-box <a href="/tags/nicclim/" rel="tag">#NicCLIM</a> <a href="/tags/gamedev/" rel="tag">#gamedev</a>. </p><p><a href="https://screwlisp.small-web.org/fundamental/classical-ai-and-deep-learning-ai-difference-in-two-examples/" rel="nofollow" class="ellipsis" title="screwlisp.small-web.org/fundamental/classical-ai-and-deep-learning-ai-difference-in-two-examples/"><span class="invisible">https://</span><span class="ellipsis">screwlisp.small-web.org/fundam</span><span class="invisible">ental/classical-ai-and-deep-learning-ai-difference-in-two-examples/</span></a><br><a href="https://screwlisp.small-web.org/lispgames/spacetime-boxes-nicclim/" rel="nofollow" class="ellipsis" title="screwlisp.small-web.org/lispgames/spacetime-boxes-nicclim/"><span class="invisible">https://</span><span class="ellipsis">screwlisp.small-web.org/lispga</span><span class="invisible">mes/spacetime-boxes-nicclim/</span></a></p><p><a href="/tags/lambdamoo/" rel="tag">#lambdaMOO</a> <a href="/tags/livechat/" rel="tag">#liveChat</a> !</p>

<p><a href="/tags/classicalai/" rel="tag">#classicalAI</a> ( <a href="/tags/gof_ai/" rel="tag">#gof_ai</a> ) and <a href="/tags/deeplearning/" rel="tag">#deeplearning</a> <a href="/tags/ai/" rel="tag">#AI</a> . A minimal <a href="/tags/programming/" rel="tag">#programming</a> <a href="/tags/example/" rel="tag">#example</a> in <a href="/tags/commonlisp/" rel="tag">#commonLisp</a> for identifying the artist of famous pictures with either approach.</p><p>The code fits on the back of a cereal box. (Barely. Argh, numerically encoding data for DL..).</p><p><a href="https://screwlisp.small-web.org/fundamental/classical-ai-and-deep-learning-ai-difference-in-two-examples/" rel="nofollow" class="ellipsis" title="screwlisp.small-web.org/fundamental/classical-ai-and-deep-learning-ai-difference-in-two-examples/"><span class="invisible">https://</span><span class="ellipsis">screwlisp.small-web.org/fundam</span><span class="invisible">ental/classical-ai-and-deep-learning-ai-difference-in-two-examples/</span></a></p><p>I think this is as clear an example as can be. Though I look forward to your feedback and criticisms.</p>

<p>My <a href="/tags/lisp/" rel="tag">#lisp</a> <a href="/tags/symbolic/" rel="tag">#symbolic</a> <a href="/tags/deeplearning/" rel="tag">#deepLearning</a> <a href="/tags/ffnn/" rel="tag">#ffnn</a> <a href="/tags/condition/" rel="tag">#condition</a> streamlined.</p><p><a href="https://screwlisp.small-web.org/conditions/lisp-symbolic-deep-learning-streamlined/" rel="nofollow" class="ellipsis" title="screwlisp.small-web.org/conditions/lisp-symbolic-deep-learning-streamlined/"><span class="invisible">https://</span><span class="ellipsis">screwlisp.small-web.org/condit</span><span class="invisible">ions/lisp-symbolic-deep-learning-streamlined/</span></a></p><p>The pretty and overtly useable rewrite of my earlier brace of articles.</p><p>An important condition handling style mistake I cleaned up was that I had previously put HANDLER-BIND /inside/ my INFER. But this freezes it in place; I might as well have used functions as such. Now the algorithm graph is essentially the condition handlers and restarts outside the function at runtime.</p><p><a href="/tags/commonlisp/" rel="tag">#commonLisp</a> <a href="/tags/ai/" rel="tag">#ai</a> <a href="/tags/programming/" rel="tag">#programming</a></p>

<p><a href="/tags/lispygopherclimate/" rel="tag">#lispyGopherClimate</a> <a href="/tags/lisp/" rel="tag">#lisp</a> <a href="/tags/technology/" rel="tag">#technology</a> <a href="/tags/podcast/" rel="tag">#podcast</a> <a href="/tags/archive/" rel="tag">#archive</a>, <a href="/tags/climate/" rel="tag">#climate</a> <a href="/tags/haiku/" rel="tag">#haiku</a> by <span class="h-card"><a href="https://climatejustice.social/@kentpitman" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>kentpitman</span></a></span> <br><a href="https://communitymedia.video/w/c3GdAXe7BQTbK3VrcXCm7E" rel="nofollow" class="ellipsis" title="communitymedia.video/w/c3GdAXe7BQTbK3VrcXCm7E"><span class="invisible">https://</span><span class="ellipsis">communitymedia.video/w/c3GdAXe</span><span class="invisible">7BQTbK3VrcXCm7E</span></a><br>&amp; <span class="h-card"><a href="https://fe.disroot.org/users/ramin_hal9001" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>ramin_hal9001</span></a></span> <br>On the <a href="/tags/climate/" rel="tag">#climate</a> I would like to talk about the company that found <a href="/tags/curl/" rel="tag">#curl</a> and <a href="/tags/openssl/" rel="tag">#openssl</a>&#x27;s <a href="/tags/deeplearning/" rel="tag">#deeplearning</a> many (10ish) 0-day vulns &quot;using <a href="/tags/ai/" rel="tag">#ai</a> &quot;. (<a href="/tags/llm/" rel="tag">#llm</a> s were involved).</p><p>This obviously relates to my <a href="/tags/lisp/" rel="tag">#lisp</a> <a href="/tags/symbolic/" rel="tag">#symbolic</a> <a href="/tags/dl/" rel="tag">#DL</a> <a href="https://screwlisp.small-web.org/conditions/symbolic-d-l/" rel="nofollow" class="ellipsis" title="screwlisp.small-web.org/conditions/symbolic-d-l/"><span class="invisible">https://</span><span class="ellipsis">screwlisp.small-web.org/condit</span><span class="invisible">ions/symbolic-d-l/</span></a> (ffnn equiv). Thanks to everyone involved with that so far.</p><p>I implemented that using <a href="/tags/commonlisp/" rel="tag">#commonLisp</a> <a href="/tags/condition/" rel="tag">#condition</a> handling viz KMP.</p>

<p>As someone who now has a feedforward neural network of a single hidden layer implementation (in <a href="/tags/commonlisp/" rel="tag">#commonLisp</a>) I learned a lot about what has a spot to be stuck into the algorithm.</p><p><a href="https://screwlisp.small-web.org/fundamental/sharpsign-sharpsign-input-referential-ffnn-dl-data/" rel="nofollow" class="ellipsis" title="screwlisp.small-web.org/fundamental/sharpsign-sharpsign-input-referential-ffnn-dl-data/"><span class="invisible">https://</span><span class="ellipsis">screwlisp.small-web.org/fundam</span><span class="invisible">ental/sharpsign-sharpsign-input-referential-ffnn-dl-data/</span></a></p><p>Something that turns out to be easy to stick in is making training data which copies data out of the current context or even to simply point the training data definition into the <a href="/tags/deeplearning/" rel="tag">#deepLearning</a> inference input context though I did not prove convergence for the latter case.</p><p><a href="/tags/ai/" rel="tag">#ai</a> <a href="/tags/programming/" rel="tag">#programming</a> <a href="/tags/dl/" rel="tag">#dl</a></p>

<p>Yeesh, okay it is out and I can stop telling you I am going to write it.</p><p><a href="https://screwlisp.small-web.org/complex/lisp-feedforward-deep-learning-example/" rel="nofollow" class="ellipsis" title="screwlisp.small-web.org/complex/lisp-feedforward-deep-learning-example/"><span class="invisible">https://</span><span class="ellipsis">screwlisp.small-web.org/comple</span><span class="invisible">x/lisp-feedforward-deep-learning-example/</span></a></p><p><a href="/tags/deeplearning/" rel="tag">#deepLearning</a> <a href="/tags/symbolic/" rel="tag">#symbolic</a> <a href="/tags/ffnn/" rel="tag">#ffnn</a> pure ansi <a href="/tags/commonlisp/" rel="tag">#commonLisp</a></p><p>The example deliberately causes a hallucination programmed into the training data via simple <a href="/tags/roc/" rel="tag">#roc</a> reasoning. To my knowledge the ROC interpretation of ffnn inference is original to me, here.</p><p>The hallucination is in both lockstep and single <a href="/tags/neuralnet/" rel="tag">#neuralnet</a> activations.</p><p>Be the first to complain my <a href="/tags/dl/" rel="tag">#DL</a> works on subregions of jagged lists! <a href="/tags/programming/" rel="tag">#programming</a></p>

<p><a href="/tags/lispygopherclimate/" rel="tag">#lispyGopherClimate</a> Sunday-morning-in-Europe 8am UTC+0<br><a href="/tags/archive/" rel="tag">#archive</a><br><a href="https://toobnix.org/w/iAwuN4MGuaiHTDDCibhb21" rel="nofollow" class="ellipsis" title="toobnix.org/w/iAwuN4MGuaiHTDDCibhb21"><span class="invisible">https://</span><span class="ellipsis">toobnix.org/w/iAwuN4MGuaiHTDDC</span><span class="invisible">ibhb21</span></a></p><p>Two weeks from now, <span class="h-card"><a href="https://mstdn.ca/@cdegroot" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>cdegroot</span></a></span> will be on the lispy gopher climate show to discuss their new lisp book, The Genius of Lisp. I got my review copy and will share the ToC.</p><p>I am not going to spoil the fascinating foreword by rpg but it relates to my symbolic <a href="/tags/lisp/" rel="tag">#lisp</a> <a href="/tags/ffnn/" rel="tag">#ffnn</a> <a href="/tags/deeplearning/" rel="tag">#deepLearning</a></p><p><a href="https://screwlisp.small-web.org/complex/lisp-feedforward-deep-learning-example/" rel="nofollow" class="ellipsis" title="screwlisp.small-web.org/complex/lisp-feedforward-deep-learning-example/"><span class="invisible">https://</span><span class="ellipsis">screwlisp.small-web.org/comple</span><span class="invisible">x/lisp-feedforward-deep-learning-example/</span></a></p><p>so I will mention that and my <a href="/tags/roc/" rel="tag">#ROC</a> interpretation of deep learning inferencing.<br><a href="/tags/programming/" rel="tag">#programming</a></p>

<p><a href="https://lispy-gopher-show.itch.io/dl-roc-lisp/devlog/1465107/shark-restaurant-dl-roc-dot-lisp-explained-deep-learning-receiver-operating-characteristic-part-2-simple-version" rel="nofollow" class="ellipsis" title="lispy-gopher-show.itch.io/dl-roc-lisp/devlog/1465107/shark-restaurant-dl-roc-dot-lisp-explained-deep-learning-receiver-operating-characteristic-part-2-simple-version"><span class="invisible">https://</span><span class="ellipsis">lispy-gopher-show.itch.io/dl-r</span><span class="invisible">oc-lisp/devlog/1465107/shark-restaurant-dl-roc-dot-lisp-explained-deep-learning-receiver-operating-characteristic-part-2-simple-version</span></a></p><p><a href="/tags/itchio/" rel="tag">#itchio</a> <a href="/tags/gamedev/" rel="tag">#gamedev</a> <a href="/tags/programming/" rel="tag">#programming</a> <a href="/tags/theory/" rel="tag">#theory</a> completely explainable game-embeddable <a href="/tags/deeplearning/" rel="tag">#deepLearning</a> system using <a href="/tags/roc/" rel="tag">#roc</a> <a href="/tags/statistics/" rel="tag">#statistics</a> .</p><p>I coded this one simply and iteratively, since a few people worked on reimplementing my <a href="/tags/commonlisp/" rel="tag">#commonLisp</a> code to-be-simpler.</p><p>The gist is that I show that deep learning updates, and indicate training as well are a simple true-positive/true-negative/false-positive-false-negative equation of the previous time step in an eminently explorable way. <a href="/tags/dl/" rel="tag">#DL</a> <a href="/tags/ai/" rel="tag">#AI</a></p>

<p><a href="/tags/lispygopherclimate/" rel="tag">#lispyGopherClimate</a> <a href="/tags/live/" rel="tag">#live</a> <a href="/tags/technology/" rel="tag">#technology</a> <a href="/tags/podcast/" rel="tag">#podcast</a> (?!) <a href="https://toobnix.org/w/jQkCWCeFNRL9Utcr2GWurM" rel="nofollow" class="ellipsis" title="toobnix.org/w/jQkCWCeFNRL9Utcr2GWurM"><span class="invisible">https://</span><span class="ellipsis">toobnix.org/w/jQkCWCeFNRL9Utcr</span><span class="invisible">2GWurM</span></a><br>Chat live in <a href="/tags/lambdamoo/" rel="tag">#lambdaMOO</a> as always <a href="https://lambda.moo.mud.org/" rel="nofollow"><span class="invisible">https://</span>lambda.moo.mud.org/</a><br>(@join screwtape<br>&quot;hey<br>)</p><p>- I release NZ government secrets about <a href="/tags/ai/" rel="tag">#AI</a> and <a href="/tags/llms/" rel="tag">#LLMs</a> senior managers keep sending me</p><p>- I start /actually/ multimooing my own personal moos LambdaMOO</p><p>- Otherwise, my <a href="/tags/commonlisp/" rel="tag">#commonLisp</a> brain is entirely inside my <a href="/tags/dl/" rel="tag">#DL</a> <a href="/tags/deeplearning/" rel="tag">#DeepLearning</a> <a href="/tags/roc/" rel="tag">#roc</a> <a href="/tags/statistics/" rel="tag">#statistics</a> original formulation <a href="https://lispy-gopher-show.itch.io/dl-roc-lisp" rel="nofollow" class="ellipsis" title="lispy-gopher-show.itch.io/dl-roc-lisp"><span class="invisible">https://</span><span class="ellipsis">lispy-gopher-show.itch.io/dl-r</span><span class="invisible">oc-lisp</span></a></p><p><span class="h-card"><a href="https://climatejustice.social/@kentpitman" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>kentpitman</span></a></span> featuring.</p>

<p><a href="/tags/lispygopherclimate/" rel="tag">#lispyGopherClimate</a> <a href="/tags/technology/" rel="tag">#technology</a> <a href="/tags/podcast/" rel="tag">#podcast</a> <a href="/tags/live/" rel="tag">#live</a> <a href="https://toobnix.org/w/5QbQiLw7zrFiETgbv32kJk" rel="nofollow" class="ellipsis" title="toobnix.org/w/5QbQiLw7zrFiETgbv32kJk"><span class="invisible">https://</span><span class="ellipsis">toobnix.org/w/5QbQiLw7zrFiETgb</span><span class="invisible">v32kJk</span></a> first half missing?</p><p><span class="h-card"><a href="https://climatejustice.social/@kentpitman" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>kentpitman</span></a></span> <a href="/tags/climate/" rel="tag">#climate</a> <a href="/tags/haiku/" rel="tag">#haiku</a></p><p>- One week from today is <a href="/tags/lambdamoo/" rel="tag">#LambdaMOO</a>&#x27;s annual festival, April Fool&#x27;s.<br>- Let&#x27;s have a text based <a href="/tags/mud/" rel="tag">#MUD</a> <a href="/tags/bonkwave/" rel="tag">#bonkwave</a> pool party / concert</p><p>Notably /after/ submitting my <a href="/tags/els2026/" rel="tag">#ELS2026</a> <a href="/tags/commonlisp/" rel="tag">#commonLisp</a> <a href="/tags/deeplearning/" rel="tag">#deepLearning</a> article <a href="https://european-lisp-symposium.org/2026" rel="nofollow" class="ellipsis" title="european-lisp-symposium.org/2026"><span class="invisible">https://</span><span class="ellipsis">european-lisp-symposium.org/20</span><span class="invisible">26</span></a> </p><p>we just had this great thread: <a href="https://gamerplus.org/@screwlisp/116286095082069619" rel="nofollow" class="ellipsis" title="gamerplus.org/@screwlisp/116286095082069619"><span class="invisible">https://</span><span class="ellipsis">gamerplus.org/@screwlisp/11628</span><span class="invisible">6095082069619</span></a> I will read <a href="/tags/bookstodon/" rel="tag">#bookstodon</a> and <a href="/tags/programming/" rel="tag">#programming</a> suggestions by <span class="h-card"><a href="https://toot.cat/@riley" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>riley</span></a></span> and others. <a href="/tags/ai/" rel="tag">#ai</a> <a href="/tags/dl/" rel="tag">#DL</a> <a href="/tags/ml/" rel="tag">#ML</a></p>