Hanbin Jung

Business Development @motif_tech

[Hanbin Jung @hanbinsj]

@SemiAnalysis_ Thanks for the coverage of Motif 3. We will be back with even better models.

[SemiAnalysis @SemiAnalysis_]

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

[Hanbin Jung @hanbinsj]

@motif_tech 🚀

[Motif Technologies @motif_tech]

Motif 3 is officially here.
Today, we’re releasing Motif 3 Base and Motif 3.

Motif 3 Base is our pretrained foundation model, while Motif 3 is built on top of it with post-training using NVIDIA NeMo-RL.

Both models were developed with the support of Korea's Ministry of Science and trained on NVIDIA B200 GPUs.

With Motif 3, we’re taking our first step into the frontier LLM race.

There’s still a long way to go, but we believe we’ve built a model that deserves to be in the race.
We’ve shared the details in our technical report and blog post.

In collaboration with NVIDIA, we’re also releasing an NVFP4 version of Motif 3.

All models will be available on Hugging Face.
Links are in the comments.

[Artificial Analysis @ArtificialAnlys]

Motif Technologies, a 🇰🇷 Korean AI lab, has just launched Motif-2-12.7B-Reasoning, a 12.7B open weights reasoning model that scores 45 on the Artificial Analysis Intelligence Index and is now the leading model from Korea

Key benchmarking takeaways:

➤ Open weights: Motif-2-12.7B-Reasoning is open weights and is a relatively small model at 12.7B parameters. This marks a shift for the Korean model ecosystem, which has historically been more closed relative to Chinese open weights releases

➤ Strengths in Instruction Following and Competition Math: Motif-2-12.7B-Reasoning scores 57% on IFBench and 80% on AIME2025, comparable to Claude 4.5 Haiku in performance in these two benchmarks and highlighting an emerging strength in mathematical reasoning and agentic capabilities

➤ AI activity is accelerating in South Korea: Motif Technologies’ Motif-2-12.7B-Reasoning sets a new high in intelligence for Korean AI labs and is the latest in a string of notable 2025 releases. The model compares favorably with LG Research’s EXAONE 4.0 32B (Intelligence Score: 43) and Upstage’s Solar Pro 2 (Intelligence Score: 38). The country’s pace of innovation continues to quicken, supported by government incentives and a rapidly expanding AI ecosystem

➤ High token usage: The model used the most tokens to run our Artificial Analysis Intelligence Index evaluations at 200M tokens. This has implications for cost and latency

See below for further analysis:

[Zephyr @zephyr_z9]

Only 3 countries in the world have shown the ability to develop multiple high-quality LLMs
US, China, and Korea (as a distant third)
France doesn't count, as they only have Mistral

[Hanbin Jung @hanbinsj]

@0xStackr Any new updates?

[Hanbin Jung @hanbinsj]

@eliebakouch We’re excited to announce our new model and architecture!
We’d love for you to take a look:
https://t.co/vYcSccERj6
https://t.co/CwghxBnNKn

[elie @eliebakouch]

Wow, pretty cool that they also open sourced a FSDP2 compatible Muon and PolyNorm working with @huggingface kernels!

[elie @eliebakouch]

Motif 2.6B tech report is pretty insane, first time i see a model with differential attention and polynorm trained at scale!

> It's trained on 2.5T of token, with a "data mixture schedule" to continuously adjust the mixture over training.
> They use WSD with a "Simple moving average" averaging the last 6 ckpt every 8B token.
> They trained on Finemath, Fineweb2, DCLM, TxT360.
> Lot of details in the finetuning data they used, for instance they used EvolKit and did some "dataset fusion" to have more compressed knowledge into the data.
> They mention they also tried Normalized GPT, QK-Norm and Cross Layer Attention.

[Nathan | Factomind @NathanYJLee]

현 미국 주식시장에는 버블이 얼마나 형성되어 있을까?

레이 달리오의 글을 요약해 보았습니다 (원문은 맨 아래)

미 주식을 벗어나 어느 시장이건 적용될 수 있는 버블 판독법입니다

[요즘AI @thesedays_ai]

흥미로운 AI 글을 번역해 봤습니다.

유출된 구글 내부 문서이고, 오픈소스 AI가 구글과 OpenAI를 능가할 것이라는 주장입니다.

앞으로 AI 시장의 승자는 OpenAI, 구글, 그리고 오픈소스 진영 중 어디가 될까요?🧵
https://t.co/P0pYoVcdPt

[Hanbin Jung @hanbinsj]

@hellobot_NFT @nft_paris LFG

[Hanbin Jung @hanbinsj]

@hellobot_NFT Yes

[Hanbin Jung @hanbinsj]

@hellobot_NFT LFG!!