Top Tweets for #k2think
We have submitted our application for K2 Think V2! We want to integrate K2 as a reasoning module into our on-device cognitive architecture based on Active Inference - fully local, sovereign, for HSE and smart cities. Open for collaboration! #K2Think #MBZUAI #SovereignAI

If your project can think, we want to see it 👀
Build with K2 Think V2, submit your demo, and get a shot at rewards up to $30K and real visibility.
New round every month.
First deadline: March 10, 2026
https://t.co/WexIHKtIgI

Agree with @mbzuai
on AI sovereignty - key for trust! Archotec AI builds on this with local on-device Active Inference for robust real-world apps in UAE HSE/smart cities. What do you think?
#SovereignAI #ResponsibleAI #K2Think
@MBZUAI @Hub71

Sovereignty matters when AI systems start to matter.
As AI systems move from labs into institutions, the question shifts from “how well does it perform?” to “what are we actually deploying?”
With K2 Think V2, sovereignty means owning the full lifecycle of the model without hidden dependencies or external assumptions.
This matters because long-term trust in AI systems relies on independence, accountability, and the ability to stand behind the system you deploy.
K2 Think V2 reflects our belief that sovereign AI foundations are not a future concern, but a present requirement.
Download here:
https://t.co/4ccNrTsDOf
https://t.co/8ODkcST9ne
#AISovereignty #ResponsibleAI #FoundationModels #K2Think #MBZUAI
The #K2Think V2 we released today represents a significant leap of the already-strong performance on deep reasoning over V1 (https://t.co/qiELrJOmDt), and furthermore drastically improves on reliability, reducing the hallucination rate from 89% to 52% on the AA-Omniscience benchmark while simultaneously increasing long-context reasoning accuracy from 33% to 53%. Powered by the K2-V2 Instruct foundation, it is now the strongest fully open-source reasoning model available, and rivals all frontier reasoning models from the same size class, open or close.
Continuing the founding ethos of Institute of Foundation Models (IFM) at @mbzuai, we open source the weights, data, recipe, and development of this release: on top of the #K2Think V1 recipe, and the strong foundation of K2 V2 (https://t.co/0Kymo2B0mI) base LLM, we further made a few tailored designs that adapt well with the upgraded base model: 1) GRPO with asymmetric policy ratio clipping 2) expanded high quality STEM data sources 3) capability steering with model specific difficulty-based data filtering, 4) full on-policy training with large batch sizes. 5) two-stage progressive context length expansion for training efficiency. Check out our blog post and model for more details: https://t.co/gRQCevpzi0
@waterluffy, @llm360_agi, @allen_ai, @huggingface

MBZUAI’s Institute for Foundation Models’ new K2 Think V2 model improves on 70B K2-V2 in intelligence, maintains its tied first place in our Openness Index, and has a low hallucination rate
🇦🇪 Third UAE model on Artificial Analysis in the last month: K2 Think V2 is a dense 70B reasoning model. It was post-trained from MBZUAI’s K2-V2, previously released in December 2025. We also recently evaluated Falcon-H1R-7B from TII, another government-sponsored research center from the UAE
📖 Pushes the frontier in Intelligence vs Openness: Like its base model, K2-V2, K2 Think V2 maintains its tied lead in Openness with the Olmo family from Allen Institute for AI. The Artificial Analysis Openness Index is our newly released, standardized, independently assessed measure of AI model openness across availability and transparency. K2 Think V2 provides full access to pre- and post-training data, as well as publishing training methodology and code with a permissive Apache license allowing free use for any purpose. The model is the most intelligent model among highly open peers
🔮 Low hallucination rate: K2 Think V2’s hallucination rate is among the lowest of relevant comparison models. Its hallucination rate sits between Anthropic’s Claude 4.5 Opus and Claude 4.5 Sonnet - Anthropic being a leader in low-hallucination models. The Artificial Analysis Omniscience Hallucination Rate highlights how often models will incorrectly answer knowledge-based questions, rather than abstain. The significant improvement from K2-V2’s hallucination rate from 89% to 52% demonstrates how post-training can effectively reduce hallucination. This contributes to a strong score of -26 for K2 Think V2 in AA-Omniscience, our new knowledge and hallucination benchmark
📈 Improved intelligence among medium-sized (40-150B) open weights models: K2 Think V2 improves by 4 points on its base model. This improvement is driven largely by its reduced hallucination rate (described above), but also its improved long context reasoning capability. K2 Think V2 scores 53% in AA-LCR, our long context reasoning benchmark, a significant jump from 33% in K2-V2
⚡Slightly improved token efficiency: K2 Think V2 uses 10% fewer tokens (99M) than its base model (110M) to run our Intelligence Index
Congratulations to the team at @mbzuai !

تنبيه: في لاعب جديد دخل ملعب الذكاء الاصطناعي
اسمه K2 Think ومن صنع الإمارات 🇦🇪
الهدوء اللي قبل العاصفة... أحياناً يكون في أبوظبي
#K2Think #ذكاء_اصطناعي #الإمارات #تقنية
إطلاق نموذج #K2Think يمثل نقلة نوعية تعكس طموح #الامارات لترسيخ مكانتها مركزاً عالمياً للذكاء الاصطناعي بدعم من أحدث التقنيات وتدريب محلي رفيع
إنها ليست خطوة تقنية فقط، بل إعلان عن ريادة ورؤية استراتيجية تقود ثورة #الذكاء_الاصطناعي عالمياً.
https://t.co/WgqEEQqHwK
🤯 مدل K2-Think از امارات با فقط ۳۲ میلیارد پارامتر، عملکرد GPT-4 رو میزنه و ۲۰ برابر کوچکتره! سرعت ۲۰۰۰ توکن/ثانیه روی سختافزار عمومی. دیگه نیازی به مدلهای غولپیکر نیست؟
#AI #K2Think #هوش_مصنوعی
#الإمارات تطلق #K2Think.. النموذج المفتوح الأكثر تقدماً عالمياً في الاستدلال بـ#الذكاء_الاصطناعي.. بتعاون بين #MBZUAI وشركة #G42.. ليقدم أداءً يضاهي نماذج تفوقه حجماً بـ10 مرات 🌍🤖
#شغف_بالمعرفة
#K2Think - scaling another “peak” of innovation! 🚀
In the #AI world, scale has long been seen as the path to intelligence. But with K2 Think, we’re showing the world that smarter can be better than bigger.
Developed by #MBZUAI and #G42, this 32B open-source model is compact yet remarkably powerful and at par with much larger peers in complex reasoning.
Its design goes beyond prediction to true intelligence:
* Long chain-of-thought supervision
* Reinforcement learning with verifiable rewards
* Agentic planning & speculative decoding
* Test-time scaling for precision reasoning
Powered by Cerebras Systems’ breakthrough compute, K2 Think runs at lightning speed, up to 2,000 tokens per second. ⚡ ⚡
K2 Think has already established itself among the industry’s top reasoning systems, delivering scores that tie it for top math performance across benchmarks.
K2 Think is more than a model. It is the future. This is proof that future of reasoning will be shaped not only by size, but by ingenuity and collaboration.
Learn more: https://t.co/RqysMRTLvO
@G42ai #ArtificialIntelligence #AI #K2 #Think #UAE #AbuDhabi

🇦🇪 UAE just entered the AI chat with K2 Think! 32B parameters delivering OpenAI-level performance at a fraction of the cost. Open source = game changer. The AI race just got more interesting! 🚀 Who's next to surprise us? #AI #K2Think #OpenAI #Innovation

Staffing Magazine更新!
本日は、「毎秒2000トークン!K2 Thinkが証明した小型AIモデルの可能性」について解説しています。
ぜひチェックしてみてください!
#K2Think #生成AI #MBZUAI #AIProfessional
https://t.co/DruMusH50G
No sign-ups, no drama. 🎉 Just pure speed. See K2 Think in action and experience advanced AI reasoning at https://t.co/ltN5Yxmtvr - now with no registration required.
#K2Think #AI #OpenSource #MBZUAI #G42 #Innovation

تنبيه: في لاعب جديد دخل ملعب الذكاء الاصطناعي
اسمه K2 Think ومن صنع الإمارات 🇦🇪
الهدوء اللي قبل العاصفة... أحياناً يكون في أبوظبي
#K2Think #ذكاء_اصطناعي #الإمارات #تقنية
Thoughts? Is the future of AI in efficiency rather than endless scaling? Drop your takes below! #K2Think #OpenSourceAI #xAI
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