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#largelanguagemodel

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IT News<p>Why GitHub Copilot Isn’t Your Coding Partner - These days ‘AI’ is everywhere, including in software development. Coming hot on th... - <a href="https://hackaday.com/2025/07/04/why-github-copilot-isnt-your-coding-partner/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">hackaday.com/2025/07/04/why-gi</span><span class="invisible">thub-copilot-isnt-your-coding-partner/</span></a> <a href="https://schleuss.online/tags/artificialintelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>artificialintelligence</span></a> <a href="https://schleuss.online/tags/softwaredevelopment" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>softwaredevelopment</span></a> <a href="https://schleuss.online/tags/largelanguagemodel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>largelanguagemodel</span></a> <a href="https://schleuss.online/tags/githubcopilot" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>githubcopilot</span></a></p>
Forschungszentrum Jülich<p>🧠 Was genau ist eigentlich ein <a href="https://social.fz-juelich.de/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a>?</p><p>Ein <a href="https://social.fz-juelich.de/tags/LargeLanguageModel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LargeLanguageModel</span></a> (LLM) erzeugt mit Hilfe von maschinellem Lernen Texte – so wie dieser hier. Dazu lernt es aus Trainingstexten, wie Wörter miteinander in Verbindung stehen.</p><p>In unserer Rubrik <a href="https://social.fz-juelich.de/tags/BesserWissen" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>BesserWissen</span></a> erklären wir, wie ein LLM funktioniert, wo seine Grenzen liegen – und was Jülicher Forschende damit zu tun haben. </p><p>📖 Neugierig geworden? In unserem effzett-Magazin gibt es mehr "Besserwisser".</p><p>👉 <a href="https://effzett.fz-juelich.de" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">effzett.fz-juelich.de</span><span class="invisible"></span></a></p><p>Illustration: Diana Köhne</p>
No oficial<p><strong>Sobre el entrenamiento de los Modelos de Lenguaje Grande (LLM por su sigla en inglés) y el derecho de&nbsp;autor</strong></p><blockquote><p>«Los LLM, siglas en inglés de&nbsp;<strong>“Large Language Model”</strong>, o en español&nbsp;<strong>«modelos de lenguaje grande»</strong>&nbsp;son una categoría de modelos de inteligencia artificial (IA) que pueden entender y generar lenguaje humano.</p><p>Los LLM son modelos de aprendizaje automático que se entrenan con grandes cantidades de datos. Su arquitectura se basa en redes neuronales que aplican aprendizaje profundo (“deep learning”) para representar las relaciones complejas entre palabras a partir de grandes volúmenes de datos extraídos de internet, libros y artículos científicos.</p><p>El&nbsp;<strong>aprendizaje profundo</strong>&nbsp;se refiere a una forma de aprendizaje automático que emplea redes neuronales de múltiples capas, lo que permite procesar datos no estructurados (como imágenes, videos y texto). A través de este proceso de entrenamiento, que puede tener múltiples etapas e involucrar distintos niveles de intervención humana,&nbsp;<strong>los LLMs aprenden cómo se usan las palabras entre sí en el lenguaje, y pueden aplicar estos patrones aprendidos para realizar tareas de procesamiento del lenguaje natural</strong>.</p><p><a href="https://www.hospitalitaliano.org.ar/hiba/es/news/llms-en-la-practica-clinica-automatizacion-de-notas-y-optimizacion-del-trabajo-medico" rel="nofollow noopener noreferrer" target="_blank"><b>LLMs en la práctica clínia</b></a> Hospital Italiano</p></blockquote> <p>Sobre el uso «de grandes volúmenes de datos extraídos de internet, libros y artículos científicos» y el derecho de autor de esos grandes volúmenes de datos, una reflexión de &nbsp;<a href="https://social.pixie.town/@joepie91/114506690645972126" rel="nofollow noopener noreferrer" target="_blank"><b>Sven Slootweg </b></a></p><blockquote><p>«Veo que muchas personas responden a la situación de los LLM y los derechos de autor con pedidos de aplicación más estricta de los derechos de autor, y honestamente creo que es una postura terrible.</p><p>No porque estas empresas LLM no deban ver consecuencias (¡deberían!), sino porque hay una observación mucho más importante que hacer: esta situación demuestra cómo eso de que «el copyright protege a los artistas» siempre ha sido un mito.</p><p>Si los derechos de autor realmente protegieran a los artistas, se habría aplicado con celeridad contra estas empresas de LLM, de la misma manera que se aplica con celeridad cuando se crea un sitio web de piratería en, por ejemplo, Estados Unidos. Pero no fue así.</p><p>Y eso demuestra lo que *realmente* son los derechos de autor: una herramienta de poder para quienes tienen mucho dinero para gastar en guerras legales. Siempre ha sido así: otorgando poder a quienes ya lo tienen en abundancia y quitándoselo a quienes tienen muy poco.</p><p>Es por eso que estas compañías LLM parecen inmunes a las leyes de derechos de autor: ellas tienen dinero y usted, como artista, no.</p><p>Los derechos de autor son una solución fundamentalmente mala para proteger a los artistas; están diseñados para beneficiar a los ricos y poderosos. ¡No se soluciona con más! De lo que *deberíamos* hablar es de mejores soluciones que *sí* funcionen.</p><p>Además, no se trata de un caso de «mejor algo que nada».</p><p>Cualquier tipo de «aplicación más estricta» de los derechos de autor que se solicite e instituya como resultado de las empresas LLM, *será* utilizada como arma contra los impotentes (artistas independientes y otros por igual) en el futuro.</p> <p><strong>Comentarios</strong></p> <p>tivasyk <a rel="nofollow noopener noreferrer" class="u-url mention" href="https://mycrowd.ca/users/tivasyk" target="_blank">@tivasyk</a><br><a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://blognooficial.wordpress.com/tag/cita/" target="_blank">#cita</a> | «Esta situación demuestra que eso de que «los derechos de autor protegen a los artistas» siempre ha sido un mito». ¡</p><p>Excelente argumento!</p> <p>kit de mg <a rel="nofollow noopener noreferrer" class="u-url mention" href="https://m.tripulse.link/@kit" target="_blank">@kit</a><br><a rel="nofollow noopener noreferrer" class="u-url mention" href="https://social.pixie.town/@joepie91" target="_blank">@joepie91</a> Publicación increíblemente culta, verdadera, real, correcta y buena.</p> <p>*</p><p>Qybat <a rel="nofollow noopener noreferrer" class="u-url mention" href="https://batchats.net/@Qybat" target="_blank">@Qybat</a><br>@ joepie91 Los piratas lo sabemos desde hace décadas. Puedes meterte en muchos problemas por infringir los derechos de autor de una empresa con abogados o el dinero para contratarlos, pero para un artista individual sin ese respaldo, cualquier intento de hacer valer sus derechos es inútil. Lo único valioso que puedes hacer con tus derechos de autor es encontrar una editorial dispuesta a aceptarlos y a hacerlos valer por ti, a cambio de la mayor parte de los ingresos.</p> <p>Monje polonioso <a rel="nofollow noopener noreferrer" class="u-url mention" href="https://autistics.life/@Uair" target="_blank">@Uair</a><br>@ joepie91</p><p>Cory Doctorow tiene algunos.</p> <p>b9AcE <a rel="nofollow noopener noreferrer" class="u-url mention" href="https://todon.eu/@b9AcE" target="_blank">@b9AcE</a><br>@ joepie91 He estado pensando en algún tipo de solución tipo biblioteca para generar ingresos (asumiendo que todavía estamos en el mismo sistema económico general que ahora) para los artistas, mediante el cual cada uso (o aproximado) de una obra se registraría en un fondo mensual y luego los fondos de impuestos se podrían distribuir entre los creadores en función de su uso proporcional.</p><p>Creo que, por ejemplo, los índices de audiencia de la televisión (es decir, cuántos espectadores tenía cada programa) al menos solían generarse estadísticamente al tener un número mucho menor que la población total que tenía algún dispositivo que registraba lo que veían y luego se presumía que esos eran estadísticamente representativos y los números se ampliaban según fuera apropiado para obtener los números totales de espectadores, de modo que podría ser una base, tal vez con ajustes para creadores más pequeños.</p><p>Parece que algo así debería ser posible.</p> <p>olaf <a rel="nofollow noopener noreferrer" class="u-url mention" href="https://theweird.space/@olav" target="_blank">@olav</a><br>@ joepie91 Los derechos de autor pueden funcionar si pagas/presentas el registro y probablemente puedas pagar un abogado decente.</p> <p>olaf <a rel="nofollow noopener noreferrer" class="u-url mention" href="https://theweird.space/@olav" target="_blank">@olav</a><br>@ joepie91 *puede</p> <p>dragonfi <a rel="nofollow noopener noreferrer" class="u-url mention" href="https://social.jsteuernagel.de/@dragonfi" target="_blank">@dragonfi</a><br>@ joepie91 También creo que tratar algo infinitamente copiable y compartible como un recurso finito es una idea errónea.</p><p>La información «quiere» ser libre, deberíamos encontrar una mejor forma de apoyar a los artistas y beneficiar al público, a la vez que nos apoyamos en esta cualidad.</p><p><b>Toot original de <a href="https://social.pixie.town/@joepie91/114506690645972126" rel="nofollow noopener noreferrer" target="_blank"><b>Sven Slootweg </b></a> y sus comentarios</b></p></blockquote><p><a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://blognooficial.wordpress.com/tag/cita/" target="_blank">#cita</a> <a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://blognooficial.wordpress.com/tag/copyright/" target="_blank">#copyright</a> <a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://blognooficial.wordpress.com/tag/derechos-de-autor/" target="_blank">#derechosDeAutor</a> <a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://blognooficial.wordpress.com/tag/inteligencia-artificial/" target="_blank">#inteligenciaArtificial</a> <a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://blognooficial.wordpress.com/tag/large-language-model/" target="_blank">#LargeLanguageModel</a> <a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://blognooficial.wordpress.com/tag/llm/" target="_blank">#llm</a> <a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://blognooficial.wordpress.com/tag/modelos-de-lenguaje-grande/" target="_blank">#modelosDeLenguajeGrande</a></p>
Aurianne Or<p>Robots use the <a href="https://mastodon.social/tags/internet" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>internet</span></a> to <a href="https://mastodon.social/tags/communicate" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>communicate</span></a> with each other and gain <a href="https://mastodon.social/tags/power" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>power</span></a> over <a href="https://mastodon.social/tags/humans" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>humans</span></a>: <a href="https://www.aurianneor.org/robots-use-the-internet-to-communicate-with-each-other-and-gain-power-over-humans/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">aurianneor.org/robots-use-the-</span><span class="invisible">internet-to-communicate-with-each-other-and-gain-power-over-humans/</span></a></p><p><a href="https://mastodon.social/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ai</span></a> <a href="https://mastodon.social/tags/artificialintelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>artificialintelligence</span></a> <a href="https://mastodon.social/tags/association" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>association</span></a> <a href="https://mastodon.social/tags/brain" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>brain</span></a> <a href="https://mastodon.social/tags/comments" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>comments</span></a> <a href="https://mastodon.social/tags/computers" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>computers</span></a> <a href="https://mastodon.social/tags/content" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>content</span></a> <a href="https://mastodon.social/tags/copyright" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>copyright</span></a> <a href="https://mastodon.social/tags/democracy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>democracy</span></a> <a href="https://mastodon.social/tags/environment" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>environment</span></a> <a href="https://mastodon.social/tags/information" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>information</span></a> <a href="https://mastodon.social/tags/intelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>intelligence</span></a> <a href="https://mastodon.social/tags/investment" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>investment</span></a> <a href="https://mastodon.social/tags/language" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>language</span></a> <a href="https://mastodon.social/tags/largelanguagemodel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>largelanguagemodel</span></a> <a href="https://mastodon.social/tags/likes" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>likes</span></a> <a href="https://mastodon.social/tags/machines" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>machines</span></a> <a href="https://mastodon.social/tags/multi" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>multi</span></a>-billionaire <a href="https://mastodon.social/tags/opinion" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>opinion</span></a> <a href="https://mastodon.social/tags/pollution" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>pollution</span></a> <a href="https://mastodon.social/tags/probabilities" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>probabilities</span></a> <a href="https://mastodon.social/tags/profits" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>profits</span></a> <a href="https://mastodon.social/tags/publicdebates" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>publicdebates</span></a> <a href="https://mastodon.social/tags/publicmoney" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>publicmoney</span></a> <a href="https://mastodon.social/tags/ratings" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ratings</span></a> <a href="https://mastodon.social/tags/reliable" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>reliable</span></a> <a href="https://mastodon.social/tags/robots" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>robots</span></a> <a href="https://mastodon.social/tags/servant" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>servant</span></a> <a href="https://mastodon.social/tags/sources" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>sources</span></a> <a href="https://mastodon.social/tags/subsidies" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>subsidies</span></a> <a href="https://mastodon.social/tags/traffic" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>traffic</span></a> <a href="https://mastodon.social/tags/trainingAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>trainingAI</span></a> <a href="https://mastodon.social/tags/ultra" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ultra</span></a>-rich <a href="https://mastodon.social/tags/websites" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>websites</span></a></p>
OSTechNix<p>Cavil-Qwen3-4B: SUSE's Open-Source LLM for Legal Automation <a href="https://floss.social/tags/Cavil_Qwen3_4B" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Cavil_Qwen3_4B</span></a> <a href="https://floss.social/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a> <a href="https://floss.social/tags/LargeLanguageModel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LargeLanguageModel</span></a> <a href="https://floss.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://floss.social/tags/suse" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>suse</span></a> <a href="https://floss.social/tags/opensuse" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>opensuse</span></a> <a href="https://floss.social/tags/LegalAutomation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LegalAutomation</span></a> <a href="https://floss.social/tags/SoftwareLicense" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SoftwareLicense</span></a> <a href="https://floss.social/tags/opensource" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>opensource</span></a> <br><a href="https://ostechnix.com/cavil-qwen3-4b-suse-open-source-llm-legal-automation/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">ostechnix.com/cavil-qwen3-4b-s</span><span class="invisible">use-open-source-llm-legal-automation/</span></a></p>
Andrea Callegaro<p>What's the best <a href="https://mas.to/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a> when it comes to Retrieval Augmented Generation? </p><p><a href="https://mas.to/tags/rag" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rag</span></a> <a href="https://mas.to/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://mas.to/tags/largelanguagemodel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>largelanguagemodel</span></a></p>
.:\dGh/:.<p>The more I ask <a href="https://mastodon.social/tags/Claude" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Claude</span></a>, the more I feel I have more luck asking my dog what time is it.</p><p><a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/ClaudeAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ClaudeAI</span></a> <a href="https://mastodon.social/tags/ML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ML</span></a> <a href="https://mastodon.social/tags/LM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LM</span></a> <a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a> <a href="https://mastodon.social/tags/LargeLanguageModel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LargeLanguageModel</span></a> <a href="https://mastodon.social/tags/AICloud" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AICloud</span></a> <a href="https://mastodon.social/tags/AIAssistant" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIAssistant</span></a> <a href="https://mastodon.social/tags/AICode" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AICode</span></a></p>
Aktion Freiheit statt Angst<p>LLM-Hijacking?<br>Gefahren beim Umgang mit KI<br> Mehr dazu bei <a href="https://www.all-about-security.de/ihre-ki-ist-nicht-sicher-wie-llm-hijacking-und-prompt-leaks-eine-neue-welle-von-datenverstoessen-ausloesen/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">all-about-security.de/ihre-ki-</span><span class="invisible">ist-nicht-sicher-wie-llm-hijacking-und-prompt-leaks-eine-neue-welle-von-datenverstoessen-ausloesen/</span></a><br>a-fsa.de/d/3Hp<br>Link zu dieser Seite: <a href="https://www.aktion-freiheitstattangst.org/de/articles/9172-20250601-llm-hijacking.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">aktion-freiheitstattangst.org/</span><span class="invisible">de/articles/9172-20250601-llm-hijacking.html</span></a><br>Link im Tor-Netzwerk: <a href="http://a6pdp5vmmw4zm5tifrc3qo2pyz7mvnk4zzimpesnckvzinubzmioddad.onion/de/articles/9172-20250601-llm-hijacking.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">http://</span><span class="ellipsis">a6pdp5vmmw4zm5tifrc3qo2pyz7mvn</span><span class="invisible">k4zzimpesnckvzinubzmioddad.onion/de/articles/9172-20250601-llm-hijacking.html</span></a><br>Tags: <a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a> <a href="https://mastodon.social/tags/LargeLanguageModel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LargeLanguageModel</span></a> <a href="https://mastodon.social/tags/API" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>API</span></a> <a href="https://mastodon.social/tags/Schnittstellen" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Schnittstellen</span></a> <a href="https://mastodon.social/tags/Schl%C3%BCssel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Schlüssel</span></a> <a href="https://mastodon.social/tags/Zertifikate" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Zertifikate</span></a> <a href="https://mastodon.social/tags/Arbeitsprozesse" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Arbeitsprozesse</span></a> <a href="https://mastodon.social/tags/KI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>KI</span></a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a>-Act <a href="https://mastodon.social/tags/Gefahren" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Gefahren</span></a> <a href="https://mastodon.social/tags/Bestellung" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Bestellung</span></a> <a href="https://mastodon.social/tags/B%C3%BCrot%C3%A4tigkeiten" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Bürotätigkeiten</span></a> <a href="https://mastodon.social/tags/Assistenz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Assistenz</span></a> <a href="https://mastodon.social/tags/Administration" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Administration</span></a> <a href="https://mastodon.social/tags/Verwaltung" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Verwaltung</span></a> <a href="https://mastodon.social/tags/Einkauf" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Einkauf</span></a> <a href="https://mastodon.social/tags/Produktionssteuerung" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Produktionssteuerung</span></a> <a href="https://mastodon.social/tags/Kosten" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Kosten</span></a></p>
Ars Technica News<p>xAI’s Grok suddenly can’t stop bringing up “white genocide” in South Africa <a href="https://arstechni.ca/uw2Y" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">arstechni.ca/uw2Y</span><span class="invisible"></span></a> <a href="https://c.im/tags/largelanguagemodel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>largelanguagemodel</span></a> <a href="https://c.im/tags/SouthAfrica" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SouthAfrica</span></a> <a href="https://c.im/tags/genocide" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>genocide</span></a> <a href="https://c.im/tags/Twitter" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Twitter</span></a> <a href="https://c.im/tags/boer" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>boer</span></a> <a href="https://c.im/tags/grok" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>grok</span></a> <a href="https://c.im/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a> <a href="https://c.im/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://c.im/tags/X" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>X</span></a></p>
OSTechNix<p>Clippy Desktop Assistant: Run LLMs Locally with 90s UI <a href="https://floss.social/tags/clippy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>clippy</span></a> <a href="https://floss.social/tags/llm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>llm</span></a> <a href="https://floss.social/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ai</span></a> <a href="https://floss.social/tags/largelanguagemodel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>largelanguagemodel</span></a> <a href="https://floss.social/tags/chatbot" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>chatbot</span></a> <a href="https://floss.social/tags/opensource" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>opensource</span></a> <a href="https://floss.social/tags/linux" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>linux</span></a> <a href="https://floss.social/tags/windows" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>windows</span></a> <a href="https://floss.social/tags/macos" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>macos</span></a> <br><a href="https://ostechnix.com/clippy-desktop-assistant-run-llms-locally/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">ostechnix.com/clippy-desktop-a</span><span class="invisible">ssistant-run-llms-locally/</span></a></p>
Andrea Callegaro<p>I’m looking for recommendations for an open source <a href="https://mas.to/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a> that:</p><p>- is privacy-friendly<br>- supports Retrieval Augmented Generation<br>- Is ideally based in the <a href="https://mas.to/tags/europeanunion" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>europeanunion</span></a> or developed by an EU organization</p><p>Am I asking too much? I cannot run it locally.</p><p><a href="https://mas.to/tags/opensource" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>opensource</span></a> <a href="https://mas.to/tags/Privacy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Privacy</span></a> <a href="https://mas.to/tags/rag" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rag</span></a> <a href="https://mas.to/tags/EU" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>EU</span></a> <a href="https://mas.to/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://mas.to/tags/largelanguagemodel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>largelanguagemodel</span></a></p>
Daniela Keusen<p>Wie funktionieren LLMs? Ein Blick ins Innere großer Sprachmodelle<br> <br>Grundsätzlich kann ein <a href="https://colearn.social/tags/LargeLanguageModel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LargeLanguageModel</span></a><br><a href="https://colearn.social/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a> in vier Hauptteile oder Funktionen unterteilt werden:<br>1. Tokenisierung (Tokenizer)<br>2. Einbettung (Embedding)<br>3. Berechnung der Wahrscheinlichkeit des nächsten Tokens (Vorhersage)<br>4. Strategien zur Auswahl der Ausgabe (manchmal auch Dekodierung genannt)</p><p>Dr. Julien Siebert und Patricia Kelbert via <a href="https://colearn.social/tags/IESE" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>IESE</span></a><br><a href="https://www.iese.fraunhofer.de/blog/wie-funktionieren-llms/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">iese.fraunhofer.de/blog/wie-fu</span><span class="invisible">nktionieren-llms/</span></a></p>
Dark Photon Studio<p>Large Language Models don't work the way anyone expected. They're not just fancy prediction engines, there's way more going on than that. Read about it here:</p><p><a href="https://www.anthropic.com/research/tracing-thoughts-language-model" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">anthropic.com/research/tracing</span><span class="invisible">-thoughts-language-model</span></a></p><p><a href="https://metalhead.club/tags/largelanguagemodel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>largelanguagemodel</span></a> <a href="https://metalhead.club/tags/llm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>llm</span></a> <a href="https://metalhead.club/tags/llms" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>llms</span></a> <a href="https://metalhead.club/tags/anthropic" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>anthropic</span></a> <a href="https://metalhead.club/tags/claude3" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>claude3</span></a> <a href="https://metalhead.club/tags/neuralnetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>neuralnetworks</span></a> <a href="https://metalhead.club/tags/artificalintelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>artificalintelligence</span></a> <a href="https://metalhead.club/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ai</span></a></p>
Now at @aj@gts.sadauskas.id.au<p><span class="h-card" translate="no"><a href="https://aus.social/@skribe" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>skribe</span></a></span> Conversely, the cost of printing, distribution, and storage puts up a barrier to spamming people on other continents with mass quantities of low value slop. </p><p>Just think through the logistics of a hostile Eurasian state sending a mass quantity of printed materials to Australia or North America.</p><p>Or, for that matter, a hostile North American state sending a mass quantity of printed materials to Europe or Asia.</p><p>You would either need:–</p><p>a) At least one printing press on each continent;<br>b) You could try shipping the magazines, but they'd be a month out of date when they arrive; or<br>c) You could try flying them overseas, but that would be very expensive very quickly.</p><p>That's before you worry about things like delivery drivers (or postage), and warehouses.</p><p>These are less of an issue for books than they are for newspapers or magazines.</p><p>And if a particular newspaper or magazine is known to be reliable, written by humans, researched offline, and the articles are not available online, then there's potentially value in people buying a physical copy.</p><p><a href="https://social.vivaldi.net/tags/ChatGPT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ChatGPT</span></a> <a href="https://social.vivaldi.net/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a> <a href="https://social.vivaldi.net/tags/LargeLanguageModel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LargeLanguageModel</span></a> <a href="https://social.vivaldi.net/tags/LargeLanguageModels" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LargeLanguageModels</span></a> <a href="https://social.vivaldi.net/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://social.vivaldi.net/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://social.vivaldi.net/tags/GenAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GenAI</span></a> <a href="https://social.vivaldi.net/tags/spam" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>spam</span></a> <a href="https://social.vivaldi.net/tags/news" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>news</span></a> <a href="https://social.vivaldi.net/tags/politics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>politics</span></a> <a href="https://social.vivaldi.net/tags/business" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>business</span></a> <a href="https://social.vivaldi.net/tags/media" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>media</span></a> <a href="https://social.vivaldi.net/tags/meta" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>meta</span></a> <a href="https://social.vivaldi.net/tags/Facebook" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Facebook</span></a> <a href="https://social.vivaldi.net/tags/Google" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Google</span></a> <a href="https://social.vivaldi.net/tags/Gemini" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Gemini</span></a></p>
Now at @aj@gts.sadauskas.id.au<p>Had a very insightful conversation about the limitations on AI with a marketing copywriter.</p><p>Her comment was that actually writing marketing materials is a small part of her job.</p><p>If it was just about writing something that persuades a customer to buy a product, it would be a cakewalk.</p><p>What takes time is the stakeholder management.</p><p>It's navigating conflicting and contradictory demands of different departments.</p><p>Legal wants to say one thing. Sales something different. Legal something else entirely.</p><p>There's higher-up managers who need their egos soothed.</p><p>There's different managers with different views about what the customers want and what their needs are.</p><p>And there's a big difference in big bureaucratic organisations between writing marketing collateral, and writing something that gets signed off by everyone who needs to.</p><p>She's tried using AI for some tasks, and what that typically involves is getting multiple AI responses, and splicing them together into a cohesive whole.</p><p>Because it turns out there's a big difference in the real world between generating a statistically probable output, and having the emotional intelligence to navigate humans.</p><p><a href="https://social.vivaldi.net/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://social.vivaldi.net/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a> <a href="https://social.vivaldi.net/tags/ChatGPT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ChatGPT</span></a> <a href="https://social.vivaldi.net/tags/enshittification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>enshittification</span></a> <a href="https://social.vivaldi.net/tags/LargeLanguageModel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LargeLanguageModel</span></a> <a href="https://social.vivaldi.net/tags/Marketing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Marketing</span></a> <a href="https://social.vivaldi.net/tags/Capitalism" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Capitalism</span></a> <a href="https://social.vivaldi.net/tags/TechBros" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TechBros</span></a> <a href="https://social.vivaldi.net/tags/LargeLanguageModels" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LargeLanguageModels</span></a> <a href="https://social.vivaldi.net/tags/Writing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Writing</span></a> <a href="https://social.vivaldi.net/tags/work" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>work</span></a> <a href="https://social.vivaldi.net/tags/copywriting" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>copywriting</span></a></p>
Jimi Lend<p>Es würde mir im <a href="https://nerdculture.de/tags/Traum" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Traum</span></a> nicht einfallen jene <a href="https://nerdculture.de/tags/Konzepte" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Konzepte</span></a> , die ich für <a href="https://nerdculture.de/tags/Kulturf%C3%B6rderungen" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Kulturförderungen</span></a> einreiche, mithilfe einer <a href="https://nerdculture.de/tags/KI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>KI</span></a> zu verfassen, denn diese theoretischen <a href="https://nerdculture.de/tags/Abhandlungen" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Abhandlungen</span></a> gehören mit zur gehaltvollsten und stilsichersten <a href="https://nerdculture.de/tags/Prosa" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Prosa</span></a> , die ich überhaupt fabriziere. </p><p>Das <a href="https://nerdculture.de/tags/LargeLanguageModel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LargeLanguageModel</span></a> bin ich.</p>
Seán Fobbe<p>🔔 New Essay 🔔 </p><p>"The Intelligent AI Coin: A Thought Experiment"</p><p>Open Access here: <a href="https://seanfobbe.com/posts/2025-02-21_intelligent-ai-coin-thought-experiment/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">seanfobbe.com/posts/2025-02-21</span><span class="invisible">_intelligent-ai-coin-thought-experiment/</span></a></p><p>Recent years have seen a concerning trend towards normalizing decisionmaking by Large Language Models (LLM), including in the adoption of legislation, the writing of judicial opinions and the routine administration of the rule of law. AI agents acting on behalf of human principals are supposed to lead us into a new age of productivity and convenience. The eloquence of AI-generated text and the narrative of super-human intelligence invite us to trust these systems more than we have trusted any human or algorithm ever before.</p><p>It is difficult to know whether a machine is actually intelligent because of problems with construct validity, plagiarism, reproducibility and transferability in AI benchmarks. Most people will either have to personally evaluate the usefulness of AI tools against the benchmark of their own lived experience or be forced to trust an expert.</p><p>To explain this conundrum I propose the Intelligent AI Coin Thought Experiment and discuss four objections: the restriction of agents to low-value decisions, making AI decisionmakers open source, adding a human-in-the-loop and the general limits of trust in human agents.</p><p><span class="h-card" translate="no"><a href="https://a.gup.pe/u/histodons" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>histodons</span></a></span> <span class="h-card" translate="no"><a href="https://a.gup.pe/u/politicalscience" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>politicalscience</span></a></span> </p><p><a href="https://fediscience.org/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://fediscience.org/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://fediscience.org/tags/ThoughtExperiment" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ThoughtExperiment</span></a> <a href="https://fediscience.org/tags/Philosophy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Philosophy</span></a> <a href="https://fediscience.org/tags/Benchmarks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Benchmarks</span></a> <a href="https://fediscience.org/tags/Validity" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Validity</span></a> <a href="https://fediscience.org/tags/Plagiarism" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Plagiarism</span></a> <a href="https://fediscience.org/tags/Reproducibility" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Reproducibility</span></a> <a href="https://fediscience.org/tags/Transferability" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Transferability</span></a> <a href="https://fediscience.org/tags/Decisionmaking" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Decisionmaking</span></a> <a href="https://fediscience.org/tags/Intelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Intelligence</span></a> <a href="https://fediscience.org/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a> <a href="https://fediscience.org/tags/LargeLanguageModel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LargeLanguageModel</span></a> <a href="https://fediscience.org/tags/Algorithm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Algorithm</span></a> <a href="https://fediscience.org/tags/Justice" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Justice</span></a> <a href="https://fediscience.org/tags/Law" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Law</span></a></p>
Now at @aj@gts.sadauskas.id.au<p><span class="h-card" translate="no"><a href="https://bsky.brid.gy/r/https://bsky.app/profile/drtcombs.bsky.social" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>drtcombs.bsky.social</span></a></span> For the people following on Mastodon, here's a screenshot of the Mark Cuban post that Tab was referring to (full text in the caption):</p><p><a href="https://social.vivaldi.net/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://social.vivaldi.net/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a> <a href="https://social.vivaldi.net/tags/LargeLanguageModel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LargeLanguageModel</span></a> <a href="https://social.vivaldi.net/tags/ChatGPT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ChatGPT</span></a> <a href="https://social.vivaldi.net/tags/VC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>VC</span></a> <a href="https://social.vivaldi.net/tags/tech" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tech</span></a> <a href="https://social.vivaldi.net/tags/VentureCapital" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>VentureCapital</span></a> <a href="https://social.vivaldi.net/tags/TESCREAL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TESCREAL</span></a> <a href="https://social.vivaldi.net/tags/TESCREALism" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TESCREALism</span></a> <a href="https://social.vivaldi.net/tags/enshittification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>enshittification</span></a></p>
💧🌏 Greg Cocks<p>Segment Anything Model Can Not Segment Anything - Assessing AI Foundation Model’s Generalizability In Permafrost Mapping<br>--<br><a href="https://doi.org/10.3390/rs16050797" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">doi.org/10.3390/rs16050797</span><span class="invisible"></span></a> &lt;-- shared paper<br>--<br><a href="https://techhub.social/tags/GIS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GIS</span></a> <a href="https://techhub.social/tags/spatial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>spatial</span></a> <a href="https://techhub.social/tags/mapping" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mapping</span></a> <a href="https://techhub.social/tags/remotesensing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>remotesensing</span></a> <a href="https://techhub.social/tags/foundationmodel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>foundationmodel</span></a> <a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://techhub.social/tags/artificialintelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>artificialintelligence</span></a> <a href="https://techhub.social/tags/zeroshot" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>zeroshot</span></a> <a href="https://techhub.social/tags/segmentation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>segmentation</span></a> <a href="https://techhub.social/tags/GeoAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GeoAI</span></a> <a href="https://techhub.social/tags/spatialanalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>spatialanalysis</span></a> <a href="https://techhub.social/tags/LargeLanguageModel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LargeLanguageModel</span></a> <a href="https://techhub.social/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a> <a href="https://techhub.social/tags/SAM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SAM</span></a> <a href="https://techhub.social/tags/performance" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>performance</span></a> <a href="https://techhub.social/tags/metrics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>metrics</span></a> <a href="https://techhub.social/tags/permafrost" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>permafrost</span></a> <a href="https://techhub.social/tags/visionmodel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>visionmodel</span></a> <a href="https://techhub.social/tags/icewedge" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>icewedge</span></a> <a href="https://techhub.social/tags/Arctic" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Arctic</span></a> <a href="https://techhub.social/tags/warming" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>warming</span></a> <a href="https://techhub.social/tags/climatechange" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>climatechange</span></a> <a href="https://techhub.social/tags/thawslumps" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>thawslumps</span></a> <a href="https://techhub.social/tags/landform" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>landform</span></a> <a href="https://techhub.social/tags/terrainmapping" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>terrainmapping</span></a> <a href="https://techhub.social/tags/EuroCrops" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>EuroCrops</span></a> <a href="https://techhub.social/tags/agriculture" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>agriculture</span></a></p>
💧🌏 Greg Cocks<p>DeepSeek Has Ripped Away AI’s Veil Of Mystique. That’s The Real Reason The Tech Bros Fear It [opinion piece]<br>--<br><a href="https://www.theguardian.com/commentisfree/2025/feb/02/deepseek-ai-veil-of-mystique-tech-bros-fear" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">theguardian.com/commentisfree/</span><span class="invisible">2025/feb/02/deepseek-ai-veil-of-mystique-tech-bros-fear</span></a> &lt;-- shared media article<br>--<br>[a interesting take that I think has some merit...]<br>"While privacy fears are justified, the main beef Silicon Valley has is that China’s chatbot is democratising the technology...<br>No, it was not a 'sputnik moment'..."<br><a href="https://techhub.social/tags/DeepSeek" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepSeek</span></a> <a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://techhub.social/tags/deeplearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>deeplearning</span></a> <a href="https://techhub.social/tags/China" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>China</span></a> <a href="https://techhub.social/tags/risk" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>risk</span></a> <a href="https://techhub.social/tags/SputnikMoment" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SputnikMoment</span></a> <a href="https://techhub.social/tags/disruption" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>disruption</span></a> <a href="https://techhub.social/tags/technology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>technology</span></a> <a href="https://techhub.social/tags/largelanguagemodel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>largelanguagemodel</span></a> <a href="https://techhub.social/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a> <a href="https://techhub.social/tags/ChatGPT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ChatGPT</span></a> <a href="https://techhub.social/tags/Claude" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Claude</span></a> <a href="https://techhub.social/tags/chatbot" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>chatbot</span></a> <a href="https://techhub.social/tags/opensource" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>opensource</span></a></p>