Motif 3 is now public and available through an API for the first time. We've been heads-down on research. Now that you can build with it, we'd love to hear where it shines and where we can improve. Your feedback will shape what we build next.
Free on @InfronAI through Sep 29.
Motif 3 scores 35.3 on tau-3 Banking, ahead of DeepSeek V4 Pro in @motif_tech's published comparison: https://t.co/TjbARgL5RB
It activates just 13.2B parameters per token.
Free access on Infron. Report and API details in the first reply.
I am told the Hodge Conjecture is very close to being verified by OpenAI, and that one of OpenAI or Anthropic are also close to solving Birch-Swinnerton-Dyer. The race to be 'next' behind the scenes is unlike anything I've had described to me before
If true - and it may not be, given the scale of the rumour mill right now - it could mean 3 Millennium Problems fall in the space of a month. Crazy times
While everyone is raging at me for defending OpenAI/Anthropic in one narrow area, we have got loads of new, fun, and powerful open models. A far better place than your attention than frontier lab drama.
Korea’s Trillion-Dollar Sovereign AI Investment: Nvidia Wins, Hynix Loses
Korea hosts a Squid Games, National AI Tournament,
the best non-Chinese open source model gets eliminated,
why Nvidia needs open source, implications for Hynix and Samsung
https://t.co/E3eiJx4VzN
📢 About Motif 3📢
▪️ Decoder-only MoE language model with 314B parameters, 13.2B active.
▪️ Scored 47 on @ArtificialAnlys Intelligence Index, 5th among all open-weight models, ahead of @MiniMax_AI M3, @thinkymachines Inkling, @nvidia Nemotron, and all other models developed outside of China.
▪️ Built from scratch around a novel attention architecture (GDLA) and trained on only 768 B200s in ~5 months.
▪️ MIT license.
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Jisoo Lee, one of the driving forces behind Motif 3, will share the story of its development journey and how NVIDIA technologies were leveraged along the way.
If you’re interested, register for the session below!
⏰ Time: Wednesday, August 26, 2:00–3:00 PM
📌 Register here: https://t.co/MgXUsmX2xH
Motif 3 개발의 주역이신 이지수님께서 Motif 3 개발 여정과 Nvidia 기술들을 어떻게 활용했는지에 대해서 설명해주실 예정입니다.
관심있으신 분들은 아래 링크에서 일정 등록하세요!
⏰ 일시 : 8월 26일(수) 오후 2시 - 3시
📌 일정 등록하기: https://t.co/MgXUsmX2xH
글로벌 가장 널리 인정받는 AAII가 한국을 명실공히 AI 레이스 No.3 국가로 인정하고 있습니다. 국가 AI 전략과 #혁신역량 보유 국내 #독파모 기업들이 함께 만든 성과입니다. 앞으로도 규모 무관 가장 혁신적이고 능력과 의지가 있는 기업에 집중 지원 투자해서 경쟁력을 높여가야 겠습니다.
South Korea has once again established a clear #3 position in the global AI race, trailing only the United States and China. The depth and vibrancy of Korea’s AI ecosystem is supported by strong domestic talent, public investment, and the incentives created by Korea’s Sovereign AI Foundation Model project
A number of South Korean labs, including Motif Technologies, Upstage, SK Telecom, and LG AI Research, have now scored above 30 on the Artificial Analysis Intelligence Index. This concentration of competitive model developers highlights the growing density of Korea’s domestic AI ecosystem. Among them, Motif Technologies and Upstage have models scoring above 40, making them the highest-scoring models on the Intelligence Index developed outside the United States and China.
Leading models from each lab include:
➤ Motif Technologies’ Motif 3 scored 47 on the Intelligence Index (314B total parameters, 13B active; open weights).
➤ Upstage’s Solar Pro 4 scored 42 on the Intelligence Index. It is a proprietary reasoning model.
➤ SK Telecom’s A.X K2 scored 35 on the Intelligence Index (692B total parameters, 33B active; open weights).
➤ LG AI Research’s K-EXAONE 2.0 scored 31 on the Intelligence Index (750B total parameters, 37B active; open weights).
Outside the competition, Korea’s model-development ecosystem has continued to broaden. Trillion Labs, Korea Telecom (KT), and other AI labs are building out their own model families, adding to a domestic field that is considerably deeper and more competitive than it was a year ago.
in the last 24 hours
🇰🇷Korea finally can into AI w/ Motif 3
🇺🇸US: Grok 4.6, Gemini Flash 3.7
then suddenly🇨🇳China: Qwen3.8 Max, Qwen3.8 27B, GLM5.3, Deepseek v4 Pro 0813, dots3-note
Does China perhaps hold a bit of a grudge against SK? or Elon? cuz theyre lookin a bit salty rn😂
Motif 3
A 314B-parameter MoE language model with only 13.2B active parameters per token, trained on 12.5T tokens with a novel Grouped Differential Latent Attention.
Proud to have @motif_tech’s new model, Motif 3, on our ai& inference platform today.
@aiand_ are proud launch partners and excited about where sovereign AI is going.
Thanks to the Motif team, my co-founder @hara_shimpei, and all the team for the hard work to make this happen.