국내 연구진, "치매 해결책 찾았다"
1. 나이가 들수록 뇌 속 노폐물이 제대로 빠져나가지 못해 치매 같은 퇴행성 뇌질환이 생길 수 있는데, 국내 연구진이 그 배출 통로를 세계 최초로 완전히 밝혀냈음
2. 뇌척수액이 지주막의 미세한 구멍을 통과해 뇌막 림프관 → 코 안쪽 림프관 → 목 림프절로 빠져나가는 전체 경로를 파악한 것임
3. 그래서 시험삼아 늙은 쥐의 코에 림프관 재생 유전자를 넣어봤더니, 좁아진 통로가 다시 넓어지고 뇌 청소 기능이 젊은 수준으로 회복되는 것을 확인함
4. 이 실험으로 연구진은 코에 뿌리는 비침습 치료제 개발 가능성이 열렸다고 판단함
5. 영장류에 이어 사람 대상 연구와 임상시험도 계획 중임
이 연구 결과는 세계적 학술지 ‘셀’에 실렸음
최악의 질병이자, 가장 슬픈 병이라는 치매 정복도 얼마 남지 않은듯
Sam Altman says an AI will be a better CEO of OpenAI than he is, and that he expects it reasonably soon:
"If we had an AI system that could do a better job at making decisions than anyone we could possibly have, be, say, president of the United States, would we, and like confidently, much better, would we politically or societally want that? It's very unclear. Most people I think today at least would say probably not."
"Or, you know, like an AI CEO of a big company, would you rather have, I think it'd be awesome for OpenAI to have an AI CEO. But I think a lot of people would be like, ah, that's a little scary."
"But I have no delusions that an AI will not be a better CEO of OpenAI than me at some reasonably soon time."
"If that's true, and if some companies or countries don't do that, and others do, and AI is much better, like that will have a real impact in economic competitiveness, national competitiveness, things like that."
"I think people will feel increasingly like, we either do worse, or we put the AI in more and more, influential positions."
"I think people will always want human board members, and that's probably a really great idea."
Read that third quote twice. He is not predicting this for other companies. He is saying it about his own job.
Then look at the pressure he describes right after. Nobody has to be convinced that an AI CEO is a good idea.
If one company hands over the decision and pulls ahead, everyone else picks between falling behind and doing the same. Competitive pressure does the deciding, and what most people would want stops mattering.
His answer to that is human board members. I would take it. I also do not think it is enough on its own.
A board oversees a CEO by reading what it is told, once a quarter. That works because a human CEO can be questioned, and thinks slowly enough for humans to follow along.
What does a board actually check when the thing it oversees makes a thousand consequential calls a day? Nobody has built that. Not for a single AI system anywhere.
- Sam Altman (@sama), CEO of OpenAI, at TreeHacks 2026.
China open-sourced a peanut-sized OCR that parses entire 100-page PDFs in one shot..
It's called Unlimited-OCR. Only 3B params. Runs locally.
Every other OCR tool chops your doc into pages and loses the thread. this one reads the whole thing in a single pass.
→ One-shot "long-horizon" parsing (32K context window)
→ Multilingual, out of the box
→ 93% on the standard parsing benchmark (+6 over baseline)
→ <0.11 error rate past 40 pages
→ Runs 100% locally on your own hardware
→ Works with Transformers, vLLM, SGLang, Docker, Ollama, llama.cpp
Traditional cloud OCR (Textract, Google Vision, Azure Doc Intelligence) costs $1.50–$15 per 1,000 pages.
This runs on your machine. For free. Forever.
Baidu built it explicitly to push DeepSeek-OCR one step further. Already at 1.9M downloads on Hugging Face and most people have no idea it exists yet.
100% open source.
GPT-5.6 is here.
Sol is an incredible model, and Terra/Luna provide great performance at lower price.
Great at coding, knowledge work, cybersecurity, and science with fewer tokens and at lower cost.
https://t.co/XXRz1HmMsv