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#decoding

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🅰🅻🅸🅲🅴 (🌈🦄)<p>While picnicking with my partner, I happened upon this keybox love lock above some train tracks. I took a moment to decode it and ended up bringing it home.</p><p><a href="https://lgbtqia.space/tags/Locksport" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Locksport</span></a> <a href="https://lgbtqia.space/tags/LoveLocks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LoveLocks</span></a> <a href="https://lgbtqia.space/tags/Decoding" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Decoding</span></a></p>
Denzil Ferreira :fedora:<p>I've enjoying playing Returnal on Fedora. Due to the lack of h264 video decoding, the cutscenes that are 4K .mp4 are really choppy. Luckily, someone has replaced them with 1080p versions, and all is good now: <a href="https://www.reddit.com/r/Returnal/comments/127mgvd/cutscene_visual_lag_to_auidostuttering/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">reddit.com/r/Returnal/comments</span><span class="invisible">/127mgvd/cutscene_visual_lag_to_auidostuttering/</span></a></p><p><a href="https://techhub.social/tags/returnal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>returnal</span></a> <a href="https://techhub.social/tags/game" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>game</span></a> <a href="https://techhub.social/tags/fedora" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>fedora</span></a> <a href="https://techhub.social/tags/video" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>video</span></a> <a href="https://techhub.social/tags/decoding" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>decoding</span></a></p>
Hacker News<p>DeepSeek Open Source FlashMLA – MLA Decoding Kernel for Hopper GPUs — <a href="https://github.com/deepseek-ai/FlashMLA" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">github.com/deepseek-ai/FlashMLA</span><span class="invisible"></span></a><br><a href="https://mastodon.social/tags/HackerNews" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HackerNews</span></a> <a href="https://mastodon.social/tags/DeepSeek" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepSeek</span></a> <a href="https://mastodon.social/tags/Open" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Open</span></a> <a href="https://mastodon.social/tags/Source" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Source</span></a> <a href="https://mastodon.social/tags/FlashMLA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FlashMLA</span></a> <a href="https://mastodon.social/tags/MLA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MLA</span></a> <a href="https://mastodon.social/tags/Decoding" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Decoding</span></a> <a href="https://mastodon.social/tags/Kernel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Kernel</span></a> <a href="https://mastodon.social/tags/for" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>for</span></a> <a href="https://mastodon.social/tags/Hopper" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Hopper</span></a> <a href="https://mastodon.social/tags/GPUs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GPUs</span></a> <a href="https://mastodon.social/tags/GitHub" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GitHub</span></a> <a href="https://mastodon.social/tags/OpenSource" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenSource</span></a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a></p>
Julia 🐢<p>Hi!🌱has someone ever used <a href="https://mastodon.social/tags/ffmpeg" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ffmpeg</span></a> in a <a href="https://mastodon.social/tags/Linux" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Linux</span></a> distribution and been able to create a shortcut (in desktop or in any config menu) for video <a href="https://mastodon.social/tags/encoding" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>encoding</span></a> and <a href="https://mastodon.social/tags/decoding" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>decoding</span></a> instead of using the terminal everytime? I am just geting started on this and I would like to know if this is a possibility. THANK YOU 🎆</p>
Denzil Ferreira :fedora:<p>Now this is plain evil by Bigme folks. You really have a daemon that checks for adb and disables it every boot? So you have to go to developer options all the time to re-enable it manually? And then have a check for a file on the sdcard to re-enable it automatically? Why?</p><p>Want adb enabled when you plug in the USB cable? create a xrzadbtest123456 file on /mnt/sdcard/ and you are good to go.</p><p><a href="https://techhub.social/tags/bigme" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bigme</span></a> <a href="https://techhub.social/tags/weird" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>weird</span></a> <a href="https://techhub.social/tags/dev" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dev</span></a> <a href="https://techhub.social/tags/decoding" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>decoding</span></a> <a href="https://techhub.social/tags/eink" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>eink</span></a></p>
AI6YR Ben<p>Seriously, Amtrak, why are you using AES encoded data for your train tracking map? (and no API available). 🙄 <a href="https://m.ai6yr.org/tags/api" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>api</span></a> <a href="https://m.ai6yr.org/tags/decoding" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>decoding</span></a> <a href="https://m.ai6yr.org/tags/amtrak" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>amtrak</span></a> <a href="https://m.ai6yr.org/tags/encryption" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>encryption</span></a></p>
Angel D. Munoz<p>Announcing JDeck, a small System.Text.Json F# wrapper for manual decoding in those cases where the automatic nature of the built-in serializer from the dotnet base class library is not enough!</p><p><a href="https://hachyderm.io/tags/dotnet" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dotnet</span></a> <a href="https://hachyderm.io/tags/fsharp" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>fsharp</span></a> <a href="https://hachyderm.io/tags/json" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>json</span></a> <a href="https://hachyderm.io/tags/buildinpublic" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>buildinpublic</span></a> <a href="https://hachyderm.io/tags/serialization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>serialization</span></a> <a href="https://hachyderm.io/tags/decoding" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>decoding</span></a></p>
Andreas Wagner<p>HA!!! Found it! In fact, I found two:</p><p>This is the one I had in mind: Soekia, the didactic language model (<a href="https://www.soekia.ch/GPT/" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://www.</span><span class="">soekia.ch/GPT/</span><span class="invisible"></span></a>) It's in German and - AFAICT - uses a greedy decoding algorithm.</p><p>And here is a more complex one by Aymeric Roucher, using GPT2 beam search decoding: Beam Search Visualizer (<a href="https://huggingface.co/spaces/m-ric/beam_search_visualizer" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">huggingface.co/spaces/m-ric/be</span><span class="invisible">am_search_visualizer</span></a>)</p><p><a href="https://hcommons.social/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a> <a href="https://hcommons.social/tags/chatbot" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>chatbot</span></a> <a href="https://hcommons.social/tags/decoding" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>decoding</span></a> <a href="https://hcommons.social/tags/visualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>visualization</span></a> <a href="https://hcommons.social/tags/fedihelp" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>fedihelp</span></a></p>
Susan Larson ♀️🏳️‍🌈🏳️‍⚧️🌈<p><a href="https://mastodon.online/tags/Decoding" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Decoding</span></a> <a href="https://mastodon.online/tags/Project2025" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Project2025</span></a>’s <a href="https://mastodon.online/tags/ChristianNationalist" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ChristianNationalist</span></a> (<a href="https://mastodon.online/tags/Fascist" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Fascist</span></a>) <a href="https://mastodon.online/tags/language" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>language</span></a>. </p><p><a href="https://mastodon.online/tags/Evangelicalese" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Evangelicalese</span></a> allows <a href="https://mastodon.online/tags/Trump" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Trump</span></a>’s <a href="https://mastodon.online/tags/MAGA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MAGA</span></a> <a href="https://mastodon.online/tags/supporters" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>supporters</span></a> to <a href="https://mastodon.online/tags/hide" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>hide</span></a> their <a href="https://mastodon.online/tags/extremist" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>extremist</span></a> <a href="https://mastodon.online/tags/positions" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>positions</span></a> <a href="https://mastodon.online/tags/inplainsight" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>inplainsight</span></a> </p><p><a href="https://www.salon.com/2024/03/19/decoding-project-2025s-christian-nationalist-language/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">salon.com/2024/03/19/decoding-</span><span class="invisible">project-2025s-christian-nationalist-language/</span></a></p>
Benedikt Ehinger<p>I made a new <a href="https://scholar.social/tags/thesis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>thesis</span></a>-art. The thesis is hidden in the drawer, but the <a href="https://scholar.social/tags/artwork" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>artwork</span></a> is there for all to see.</p><p>In his work, Hannes investigated correlations of <a href="https://scholar.social/tags/decoding" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>decoding</span></a> <a href="https://scholar.social/tags/brain" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>brain</span></a> activity (<a href="https://scholar.social/tags/EEG" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>EEG</span></a>) across tasks, and surprisingly showed that there is no (or very little of) such correlation.</p><p>In the piece, I plotted, using the letters and words of his <a href="https://scholar.social/tags/thesis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>thesis</span></a>, the stereotypical filters for the different cognitive tasks.</p><p>Full: <a href="https://www.s-ccs.de/thesis-" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">s-ccs.de/thesis-</span><span class="invisible"></span></a><br>art/Hannes-Bonasch/</p><p>All art: <a href="https://www.s-ccs.de/thesis-art/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">s-ccs.de/thesis-art/</span><span class="invisible"></span></a></p>
Benedikt Ehinger<p>New short-paper: </p><p>"Decoding accuracies as well as ERP amplitudes do not show between-task correlations"</p><p>tldr: <br>=&gt; high decoding accuracy in ERN != high decoding accuracy in e.g. N400</p><p>=&gt; strong N170 != strong e.g. P300</p><p>This could be great: it could mean that if one ERP-<a href="https://scholar.social/tags/BCI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>BCI</span></a> doesn't work for you, you can simply switch to another ERP!</p><p><a href="https://www.biorxiv.org/content/10.1101/2023.05.21.541632v1" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">biorxiv.org/content/10.1101/20</span><span class="invisible">23.05.21.541632v1</span></a></p><p>Work with Hannes Bonasch, a talented MSc Student in our lab www.s-ccs.de<br><span class="h-card" translate="no"><a href="https://a.gup.pe/u/eeg" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>eeg</span></a></span> <span class="h-card" translate="no"><a href="https://a.gup.pe/u/cogsci" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>cogsci</span></a></span> <span class="h-card" translate="no"><a href="https://a.gup.pe/u/cognition" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>cognition</span></a></span> <a href="https://scholar.social/tags/EEG" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>EEG</span></a> <a href="https://scholar.social/tags/decoding" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>decoding</span></a></p>
New Submissions to TMLR<p>Exploiting Latent Properties to Optimize Neural Codecs</p><p><a href="https://openreview.net/forum?id=Sv0FWYkQgh" target="_blank" rel="nofollow noopener noreferrer" translate="no"><span class="invisible">https://</span><span class="ellipsis">openreview.net/forum?id=Sv0FWY</span><span class="invisible">kQgh</span></a></p><p><a href="https://sigmoid.social/tags/codecs" class="mention hashtag" rel="tag">#<span>codecs</span></a> <a href="https://sigmoid.social/tags/decoding" class="mention hashtag" rel="tag">#<span>decoding</span></a> <a href="https://sigmoid.social/tags/compression" class="mention hashtag" rel="tag">#<span>compression</span></a></p>
Published papers at TMLR<p>Reducing Predictive Feature Suppression in Resource-Constrained Contrastive Image-Caption Retrieval</p><p>Maurits Bleeker, Andrew Yates, Maarten de Rijke</p><p><a href="https://openreview.net/forum?id=T1XtOqrVKn" target="_blank" rel="nofollow noopener noreferrer" translate="no"><span class="invisible">https://</span><span class="ellipsis">openreview.net/forum?id=T1XtOq</span><span class="invisible">rVKn</span></a></p><p><a href="https://sigmoid.social/tags/encoder" class="mention hashtag" rel="tag">#<span>encoder</span></a> <a href="https://sigmoid.social/tags/decoder" class="mention hashtag" rel="tag">#<span>decoder</span></a> <a href="https://sigmoid.social/tags/decoding" class="mention hashtag" rel="tag">#<span>decoding</span></a></p>
Published papers at TMLR<p>Contrastive Search Is What You Need For Neural Text Generation</p><p>Yixuan Su, Nigel Collier</p><p><a href="https://openreview.net/forum?id=GbkWw3jwL9" target="_blank" rel="nofollow noopener noreferrer" translate="no"><span class="invisible">https://</span><span class="ellipsis">openreview.net/forum?id=GbkWw3</span><span class="invisible">jwL9</span></a></p><p><a href="https://sigmoid.social/tags/decoding" class="mention hashtag" rel="tag">#<span>decoding</span></a> <a href="https://sigmoid.social/tags/contrastive" class="mention hashtag" rel="tag">#<span>contrastive</span></a> <a href="https://sigmoid.social/tags/nlp" class="mention hashtag" rel="tag">#<span>nlp</span></a></p>