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Resumo sobre o Nex-N2 Pro: Uma Reflexão Necessária para o Serviço Público
Nos últimos tempos, o surgimento de modelos de inteligência artificial, como o Nex-N2 Pro, tem gerado discussões interessantes sobre seu papel no aprimoramento do serviço público. Este novo modelo, baseado em código aberto, promete superar versões anteriores, como o GPT 5.5 e o Opus 4.7, despertando questionamentos sobre suas aplicações práticas.
Como servidor público com mais de 16 anos de experiência, observo que a adoção de tecnologias avançadas pode revolucionar a forma como gerimos e entregamos serviços à sociedade. O Nex-N2 Pro, ao oferecer uma plataforma acessível e com desempenho superior, pode ser um divisor de águas para a transparência, eficiência e inovação no setor público.
Contudo, é fundamental refletirmos sobre como integrar essas ferramentas em nossas rotinas. A capacitação das equipes, a transparência nas implementações e a proteção dos dados dos cidadãos devem ser prioridades. O diálogo sobre a ética do uso de IA também merece destaque, uma vez que suas decisões podem impactar diretamente a vida das pessoas.
Em suma, o Nex-N2 Pro representa uma oportunidade de ouro para repensar e aprimorar os serviços oferecidos pelo setor público. Ao considermos sua implementação, devemos focar não apenas nos resultados tecnológicos, mas em como esse avanço pode realmente beneficiar a sociedade de forma ampla e justa. Que possamos continuar esses debates e buscar soluções que façam a diferença!
Aprenda tudo sobre automações do n8n, typebot, google workspace, IA, chatGPT entre outras ferramentas indispensáeis no momento atual para aumentar a sua produtividade e eficiência.
Vamos juntos dominar o espaço dos novos profissionais do futuro!!!
#NexN2 #Pro #GREAT #Opensource #Model #Beats #GPT #Opus #Gemini #Fully #Tested
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3/4 TB… hey at least its half the size of the glm newest model 😉
Mediocre results even modified with ECC skills, agent profiles, MCPs for elite thinking and headroom and its still slow and slower as hell to use in Hermes Agents. Reviewing something you clearly havent used… After 1 billion output tokens its not beating GLM 5.1 in building my apps, its free and I am still not even wasting my time to use N2.
is this available on Ollama?
en local Q5, il consomme des dizaines de milliers de tokens pour du code buggué ! test python + pyglet, impossible de sortir un resultat exploitable sous opencode malgré des contextes de 260k tokens
Drop the "the" in front of every model name. Its cleaner.
Good lord, whoever thinks China's limitation is hardware, you accepted the propaganda. Those limitations forced them to pivot. Now they're no longer reliant on our tech due to sanctions.
Imagine a country, where you can focus all of your resources towards a goal. Imagine the Manhattan project with thousands upon thousands of scientists, manufacturing, engineering, etc resources working on something.
They are approaching this with hopes of wide adoption, open weight. China already won the AI race. 50% of AI scientists are in China, they have the capability to prototype and manufacture it within 24 hours at high capacity. 80% of Silicon Valley secretly utilize Chinese models.
ah its so qwen based somekind of merge as i see, i thought its ground up some new model released. same stuff happened with deepseek, trained on this and that. great that its opensource yes.
chinese companies are open and friendly to the world not like USA companies
Fable 5 has just been banned by the U.S. government.
This is very impressive work for a fine tune.
Claude Fable 5 + GPT-5.5 = GOD MODE: https://youtu.be/NIm4sVii2MA
Use it to beat stock market if its thats good bro 😢
it's trash
Unified reasoning loops (planning, coding, debugging in one pass) is the right direction. The speed and consistency gaps are architectural. Throwing more compute won't fix that.
all these labs do now is to wait for a model from claude so they can farm answers from it to train a base model on it and say hey we made a model as good as this model but the more you use them you can see its not really as good
I think “build a game from scratch” is one of the weaker tests for new AI models. AAA games are built by entire teams with engines, tools, artists, designers, QA, and years of iteration. No model is going to casually spit that out from a prompt.
A better test would be seeing how well the AI helps real developers inside an actual workflow. Debug an existing Unity or Unreal project, optimize a slow scene, clean up messy code, improve a combat mechanic, generate dev tools, or help QA track down bugs.
That would tell us way more about the model’s real usefulness than another basic game demo.
DeepSWE is the only benchmark that matters, really…
When you realize that the US economy is currently an AI propped up bubble so China is releasing free gov-backed models to pop it..
If you don’t want to switch your current set up but keep the logic he is talking about, look up karpathy method. You can look up master prompts online, have your harness of choice break it down, then save it as a skill. Hope this helps!
A model finetune… bahhhh
I was wondering because i made my AI add vision model and I saw this model aded and i was like? What? Never heard of this model just eaarlier
Thanks for covering it. Really good fast model
Anthropic didn't able to enjoy for a day 😂
I'm more hyped for this than for the new Claude
OpenAI and Claude really have to step up their game and intelligently block these Chinese steal their data like this. This is one of the most openly, unapologetically distilled GPT data. All of them are doing it, starting with DeepSeek all the way back in 2024, but it is getting kinda ridiculous. For 2 years these Chinese labs were just stealing data from these 2 US giants in particular and it really needs to stop