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LLM-speak is very invasive. Like any other style of language or slang. When there are many users of some constructions and we encounter them frequently, we tend to imitate them. I expect the future of human language to be symbiotic with AI language use. #LLMs #LanguageEvolution #AIAssistedCommunication #Nospecificcountrycodesarepresentinthetweet.

The study shows that large language models (LLMs) make conclusions about people's character traits based on their faces, which aligns with problematic human judgments, while most respondents prefer one of the generated faces, illustrating the persistent biases that are transferred to technology. (translated)

"LLM answers sound right—the machine provides confident prose—but to get the correct answer, you would need to know to press it in ways that are not obvious to most people." Exactly. When LLMs are wrong, they’re wrong in ways that are so subtle and slick, and that sound so #LLM #AI #MachineLearning #Thetweetdoesnotmentionanyspecificcountries.Therefore #therearenocountrycodestoreturn.

Nowadays, asking AI is the best way to win an argument. But in most cases the trick is how the question is posed: frame it one way, it agrees, frame it another, it doesn't. We handed LLMs the role of judge but people are learning to ask questions based on what answers they want. https://t.co/sYzHu21bW5 #AI #Argumentation #LLMs #Nospecificcountriesarementionedinthetweet.

Helt fint - men det skal altså holdes op imod at folk i forvejen ikke ved hvad en kvinde er, mener at Kommunisme er den rigtige vej og tror at verden går under grundet CO2. Folk er idioter. Kunstig intelligens kan umulig gøre dem dummere end dette. https://arstechnica.com/ai/2026/04/research-finds-ai-users-scarily-willing-to-surrender-their-cognition-to-llms/

One of the most telling results in LLMs history is that models that didn't do any training to produce a chain of thoughts would perform better if asked to think about problems. Even more: #LLMs #MachineLearning #AI #Therearenospecificcountryreferencesintheprovidedtweet.Therefore #therearenocountrycodestoreturn.

I'll regret cramming it into a tweet, but among folks who see LLMs as transformative, I'm baffled that so few try to carve out a new path for their craft. It's either "we're cooked and nothing makes sense anymore" or "I'll get ahead because I prompt better than anyone else". #LLMs #transformation #creativity #Nospecificcountrycodescanbederivedfromthetweetprovided.

For decades, getting featured in a music magazine like Tunitemusic was primarily about building human connection. A well-written, deeply descriptive album review or an insightful artist feature allowed independent musicians, contemporary composers, and instrumental artists to share their narrative, establish cultural credibility, and reach a dedicated audience of music lovers. While the human element of music journalism remains entirely irreplaceable, a quiet revolution has taken place behind the digital curtain. The rise of advanced AI search engines, Large Language Models (LLMs), and AI Overviews (AIO) has fundamentally rewritten the rules of music discovery. Today, press presence is no longer just a tool for public relations; it is the single most important lever for Generative Engine Optimization (GEO). If you want artificial intelligence to recognize you, recommend your compositions, and talk about your music, you need professional reviews written about your work. #MusicPromotion #MusicJournalism #IndependentMusician #MusicReviews #ComposerLife #MusicPR #Neoclassical #AmbientPiano #MusicDiscovery #IndependentArtist #GenerativeAI #MusicMarketing #ContemporaryClassical #Tunitemusic #ArtistsOfTomorrow https://tunitemusic.com/post/ai-search-is-changing-how-music-fans-discover-you/

About LLMs export control. A few interesting things that people right now may not yet focus since they are "far" problems. 1. It is impossible to really take LLMs safe. They are a a few TB files worth of weights. People will find ways to copy them, there will be leaks. #LLMs #ExportControl #AILeaks #Therearenospecificcountrymentionsinthetweetprovided.

Modern AI resulted from research made also by many non-US scientists (Hinton, the French folks, Linnainmaa, many others). The pre-training corpus was produced worldwide with massive code contribution from Europe OSS. What is happening with frontier LLMs is unacceptable. #AI #LLMs #OpenSource #FR #EU

Prediction: now that with GLM / DeepSeek & more we will see very good LLMs available open weight, and even more when the GPU/RAM insanity will be contained, the open source agents landscape will create *much* better tools that we are used to use today. For instance: #LLM #OpenSource #AI #Nospecificcountrycodesarementionedinthetweet.

While Fable is an amazing model, don't get too excited: it is great, but still has the usual failure models of the other good LLMs we saw in the past, including GPT 5.5. If you look at Anthropic, Opus -> Fable was a huge jump. If you look at the field, GPT 5.5 -> Fable is #Fable #LLM #AI #Nospecificcountrycodesarementionedinthetweet.

Lo más importante de la salida de Fable / Mythos es la demostración, una vez más, de que no hay muro. El paradigma de los LLMs y el test-time-compute lejos de frenarse sigue trepando la colina trayendo modelos cada vez más inteligentes y capaces, que están transformando el mundo. Da igual los análisis coyunturales de qué lab se pone por encima, a qué coste, cuánto es subvencionado, o con qué limitaciones. Nada de esto es tan importante como que la humanidad sigue encontrando rendimientos de una tecnología que cada vez nos aporta más inteligencia en la resolución de problemas cada vez más complejos. La frontera se sigue moviendo y el muro nunca existió. #InteligenciaArtificial #TransformaciónDigital #Tecnología

It's been shown that LLMs make 90% fewer typos than humans. To make the web a safer place, you will soon need a special endorsement on your internet license if you wish to enable manual typing in textboxes and text editors #LLMs #SaferWeb #TypingPolicy #Thetweetdoesnotmentionanyspecificcountries.Therefore #therearenocountrycodestoreturn.

It's been shown that LLMs make 90% fewer typos than humans. To make the web a safer place, users will soon need a special endorsement on their internet license if they wish to enable manual typing in textboxes and text editors #LLMs #SaferWeb #TypingEndorsement #Nospecificcountrycodesarementionedinthetweet.

Before we claim that LLMs generate bad frontend code, we should establish the frame of reference. Bad compared to what? Many of these discussions compare LLMs against some idealized standard of “perfect” frontend code, forgetting the realities of most human-authored code that #LLMs #FrontendDevelopment #CodeQuality #Nospecificcountrycodescanbeidentifiedinthetweetprovided.