inlandempire

After a three-day break, the Austin Major is back underway with the single-elimination playoffs.

The field has been whittled down to eight teams, and though almost every favorite has reached the playoffs, the ramifications of Stage 3 have resulted in Vitality, Spirit and MOUZ being on the same side of the bracket.

We are giddy with excitement to introduce you all to League of Legends Game Changers (LGC), the official EMEA women’s League of Legends competition.

LGC Rising is the inaugural tournament under this new banner, and the first step in building a meaningful competitive ecosystem for women across the region.

Creating a safe and welcoming environment where anyone can play and compete is something we’ve always felt passionate about at Riot, and we know you feel the same. We’re delighted to share details with you and write the first chapter of this exciting new journey for women’s competitive LoL in our region.

Across the soundscape of Star Wars, the mosaic of alien languages is as important as John Williams's brass horns. But the Ghorman tongue heard throughout Andor season 2 is unusual, even in a galaxy far, far away. Unlike Jabba's gooey Huttese or R2-D2's whistling bleeps, Ghorman, spoken by the proud Ghor, is one of the most fleshed-out constructed languages (commonly referred to as conlangs) in all of Star Wars. For that, you can say, "Indebe"—that's Ghorman for "thank you," people—to dialect coach and conlang creator Marina Tyndall.

Not sure how to share a specific link, but here's the message when copying the results

I'm playing "Which came first?" a daily trivia game on the Wikipedia Android app

https://play.google.com/store/apps/details?id=org.wikipedia

Lien alternatif https://yewtu.be/watch?v=9I6wtI0VRNY

Coucou,

Je fais court, on considère ouvrir un compte commun avec Mme Empire, avec le souhait que l'argent soit chez un acteur responsable qui ne finance pas des projets climaticides.

Elle est très intéressée par les banques comme Hélios, Green Got, la NEF, etc. J'essaie de faire une synthèse des options, j'ai quelques questions suite à ce que je peux trouver comme infos, et j'ai besoin d'avis supplémentaires :

• ce n'est que pour un compte courant, par forcément un placement, est-ce que l'on se prend trop la tête et que ça importe peu ?
• au long terme, je suis plus en confiance à utiliser une banque traditionnelle / banque en ligne qu'une néobanque, est-ce fondé (etablissement de paiement vs license bancaire) ?
• les néobanques dites "vertes" le sont elles vraiment ? est-ce du greenwashing ?
• ou bien est-ce que les banques se valent toutes in fine, et il vaut mieux choisir soi même où va son argent (dons, pea ?)

Voili voilou, merci si vous avez le temps de partager des infos !

Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task

Project link: https://www.brainonllm.com/

Figures: https://www.brainonllm.com/figures

Paper on arxiv (pdf): https://arxiv.org/pdf/2506.08872

With today's wide adoption of LLM products like ChatGPT from OpenAI, humans and businesses engage and use LLMs on a daily basis. Like any other tool, it carries its own set of advantages and limitations. This study focuses on finding out the cognitive cost of using an LLM in the educational context of writing an essay.

We assigned participants to three groups: LLM group, Search Engine group, and Brain-only group, where each participant used a designated tool (or no tool in the latter) to write an essay. We conducted 3 sessions with the same group assignment for each participant. In the 4th session we asked LLM group participants to use no tools (we refer to them as LLM-to-Brain), and the Brain-only group participants were asked to use LLM (Brain-to-LLM). We recruited a total of 54 participants for Sessions 1, 2, 3, and 18 participants among them completed session 4.

We used electroencephalography (EEG) to record participants' brain activity in order to assess their cognitive engagement and cognitive load, and to gain a deeper understanding of neural activations during the essay writing task. We performed NLP analysis, and we interviewed each participant after each session. We performed scoring with the help from the human teachers and an AI judge (a specially built AI agent).

We discovered a consistent homogeneity across the Named Entities Recognition (NERs), n-grams, ontology of topics within each group. EEG analysis presented robust evidence that LLM, Search Engine and Brain-only groups had significantly different neural connectivity patterns, reflecting divergent cognitive strategies. Brain connectivity systematically scaled down with the amount of external support: the Brain‑only group exhibited the strongest, widest‑ranging networks, Search Engine group showed intermediate engagement, and LLM assistance elicited the weakest overall coupling. In session 4, LLM-to-Brain participants showed weaker neural connectivity and under-engagement of alpha and beta networks; and the Brain-to-LLM participants demonstrated higher memory recall, and re‑engagement of widespread occipito-parietal and prefrontal nodes, likely supporting the visual processing, similar to the one frequently perceived in the Search Engine group. The reported ownership of LLM group's essays in the interviews was low. The Search Engine group had strong ownership, but lesser than the Brain-only group. The LLM group also fell behind in their ability to quote from the essays they wrote just minutes prior.

As the educational impact of LLM use only begins to settle with the general population, in this study we demonstrate the pressing matter of a likely decrease in learning skills based on the results of our study. The use of LLM had a measurable impact on participants, and while the benefits were initially apparent, as we demonstrated over the course of 4 months, the LLM group's participants performed worse than their counterparts in the Brain-only group at all levels: neural, linguistic, scoring.