cade o @VictorTaelin kkkkkkk

BREAKING: GLM-5.2 is now 1st on Design Arena. With an Elo of 1360, GLM-5.2 has jumped ahead of the now unavailable Claude Fable 5. And it's open weights. This is an improvement of 4 positions and 27 Elo points to achieve one of the highest Elo scores in our code categories since Design Arena started. Huge congratulations to the @Zai_org on the release!

GLM-5.2 (Max) by @Zai_org ranks #10 on the new Agent Arena leaderboard, closely matching Claude-Opus-4.8 (non-thinking) and is the #1 open model by a wide margin! In Agent Arena, we measure models on millions of real-world, long-horizon agentic tasks from a global community of users. Models can access web search, filesystem, and terminal tools to complete complex workflows. The leaderboard measures model performance on outcomes relative to the average model using a causal tracing methodology. Compared to 5.1, GLM-5.2 (Max) climbs from #13 to #10. Its clearest gains are confirmed task success, and user praise vs. complaint. Bash capabilities and tool hallucination remain stable. There is a tradeoff in steerability compared to the previous model (-6.0% vs. 1.2%). GLM-5.2 remains the same price as GLM-5.1, $1.4/$4.4 per input/output MTokens. 1M context window. Huge congrats @Zai_org for the incredible release! See thread for details on how GLM-5.2 (Max) performs across 5 different signals.

A China oficialmente bateu os modelos top tier...

GLM-5.2 leads GLM-5.1 by a wide margin across various domains, including coding, tool usage, reasoning, and general knowledge.

Foi Getúlio Vargas quem realmente livrou o Brasil da escravidão

NOTE ON RIO 3.5 OPEN In recent days, Rio 3.5 Open has received far more attention than we anticipated. Along with it came analyses and, of course, criticisms and questions. First, we want to clarify that the model is not foundational, trained from scratch, nor was it ever communicated as such. It is a post-training project built on open models, following classical approaches and some experiments. We started with open baseweights and applied various techniques, including merging, OPD, and finally used inference with SwiReasoning. It was precisely thanks to the community's attention that we identified an operational error in the publication process. We ended up making available an intermediate checkpoint that had not yet completed all the final validation and optimization steps. This generated interpretations that, looking back now, we fully understand. The checkpoint has been removed. We tried to recover the final model, but it was not possible. It will only be released after the new training and all external validations are completed. We also want to correct an important attribution point. Our team used public models provided by Alibaba, through Qwen 3.5, and by Nex-AGI, through Nex-N2 Pro, as a basis. In the initial documentation, we did not include Nex's important contribution. Correctly recognizing who builds these foundations is part of the open development process. Thank you, Nex, for your work and for contributing to advancing the state of the art in open models. It is worth contextualizing that there was no official release of that version of the model. The project ended up gaining traction organically and unexpectedly while it was still undergoing independent validations. In any case, this shows that there is interest and that Brazil has more space in this conversation than we usually imagine. We hope to see more initiatives emerging in Latin America, India, Africa, and other places that seek to expand their technological sovereignty, especially at a time when Fable has been closed to the rest of the world and access to frontier models has become part of the global strategic debate. Rio 3.5 Open is just the beginning. We will correct what is necessary, continue developing openly, and share what we learn along the way. Our goal is to show that the Brazilian public sector can also learn, build openly, and contribute to the forefront of current technological research.

Privatização não trouxe eficiência. Trouxe transferência. O contribuinte construiu o ativo por décadas. O comprador levou pronto. Quando se vende patrimônio público maduro pra cobrir caixa fiscal, isso tem outro nome: liquidação.

mais um 7x1...

7x1

Honestly, we should have seen it coming

The Rio 3.5 model broke the internet this week. The plot twist? It’s essentially our open-source model, Nex N2 Pro, wearing a different hat. 🤯 We analyzed the weights, and the recipe is exact: Rio 3.5 ≈ 0.6 * Nex N2 Pro 0.4 * Qwen 3.5 It even literally introduces itself as "Nex N2 Pro" if you ask it without initial system prompt! 😂 We are flattered that the City of Rio used our work to achieve SOTA performance. Thanks for the ultimate benchmark validation. 🤝 But in the open-source world, attribution matters. 👇 Full mathematical proof & verify script in the first reply!

🇧🇷 Modelo de IA aberta treinada no Rio com financiamento público ao longo do último ano pela @Prefeitura_Rio superando todos os outros modelos. Inteligência artificial não é uma coisa distante, estrangeira, de laboratório bilionário…não existe só pra fazer texto, imagens aleatórias. O Rio acaba de disponibilizar um modelo aberto de inteligência artificial. E o que isso significa? Capacidade de analisar mais dados, responder mais rápido, entender problemas complexos sem depender de soluções compradas prontas lá fora. E com a Pref.rio interagir e atender melhor a população usando IA. Significa pra quem ainda tinha alguma dúvida sobre o potencial do “Rio AI City” agora vai precisar olhar pra cá com muita atenção e seriedade. Energia, água em abundância, conectividade, talentos, construção de data centers e visão de futuro. Hoje o mundo está falando de um modelo aberto de IA treinado no Rio. Engenharia brasileira. Soberania. Desenvolvimento tecnológico. Rio no centro do futuro. Parabéns ao time da @Prefeitura_Rio com o IPLAN mostrando ao Brasil que é possível! Obrigado @eduardopaes por ter acreditado e iniciado o desenvolvimento desse projeto no último ano. Seguimos! - 🇧🇷 An open AI model trained in Rio and publicly funded over the last year by @Prefeitura_Rio has just surpassed all other models. Artificial intelligence is not something distant, foreign, or confined to billion-dollar labs. It is not just about generating text or random images. Rio has just made an open artificial intelligence model publicly available. And what does that mean? It means greater capacity to analyze data, respond faster, and understand complex challenges without depending on off-the-shelf solutions developed abroad. It means @Prefeitura_Rio will be able to interact with and serve people better through AI. For anyone who still had doubts about the potential of “Rio AI City,” it’s time to pay close attention. Clean energy, abundant water, connectivity, data center development, talents and a long-term vision for the future. Today, the world is talking about an open AI model trained in Rio. Brazilian engineering. Sovereignty. Technological development. Rio at the center of the future. Congratulations to the entire @Prefeitura_Rio team, especially IPLAN, for showing Brazil that this is possible. And thank you @eduardopaes for believing in and launching this project last year. We keep moving forward. 🇧🇷

Post-training an open weight model is the most efficient way to build sovereign AI. We’ve seen it already with Cursor Composer. If your country is trying to build LLM from scratch, that’s wasting your tax money. LLM is all about dataset, and none of country has enough data as US/China.

SLK

Brazil just cooked up a model - Rio 3.5 397B, which is better than Alibaba's Qwen 3.7 Plus. Made by the city of Rio de Janerio. This is exactly what I mean by global acceleration. Glad to see AI progress in Brazil, we need more from all over the world.

Wait what? Rio 3.5 Open 397B, developed by IT company of Rio de Janeiro's city government is now SOTA open source and even outperforming Qwen 3.7? What is happening today. Never heard of them before.

O Qwen 3.7 Max está monstro demais

Política industrial não se faz em um mandato. A Ásia foi paciente por décadas. O Brasil zera o anterior a cada governo. Nenhum país do mundo construiu indústria complexa em ciclos de 4 anos. Nenhum.

Alibaba Qwen3.7 slowly fading into irrelevance at the frontier due to proprietary stance. In it's place we have Minimax M3 and... *checks notes* Rio 3.5 397b, made by the municipal IT company of Rio de Janeiro's city government. huggingface.co/prefeitura-ri…