All Articles
1 min read
ResearchNovember 3, 2026

An open neural network for scientific research that beat GPT-6 Astra in the test

🧪 An open neural network for scientific research that beat GPT-6 Astra in the test The developers presented Hydrogen-1.0 - an AI model specially trained to solve complex scientific problems. It is based on the open source GLM-5.3, which was additionally trained on scientific data...

GPT Time | Нейросети | ИИ·Telegram — GPT Time | Нейросети | ИИ
Original Source
Key Takeaways
  • 01.🧪 An open neural network for scientific research that beat GPT-6 Astra in the test The developers presented Hydrogen-1.0 - an AI model specially trained to solve complex scientific problems
  • 02.It is based on the open source GLM-5.3, which was additionally trained on scientific data...

🧪 Открытая нейросеть для научных исследований, которая обошла GPT-6 Astra в тесте Разработчики представили Hydrogen-1.0 — ИИ-модель, специально обученную для решения сложных научных задач. В её основе лежит открытая GLM-5.3, которую дополнительно обучили на научных данных, лабораторных записях и материалах исследовательских проектов. Результаты тестирования: • 38,3% в FrontierScience-Research против 33,3% у GPT-6 Astra. • 93% в GPQA Diamond — тесте на сложные научные вопросы. Главная особенность Hydrogen-1.0 — открытые веса. Исследователи смогут изучать модель, адаптировать её под собственные задачи и развивать дальше. [Источник]()

Aggregated within AI Qazaqstan national intelligence stream with author attribution.

Related Intelligence

All stories →
Research1 мин

OpenAI hires ex-Army Secretary, gaining bipartisan reach just as midterms loom

OpenAI hires Dan Driscoll, the former civilian head of the US Army, as "Senior Counselor for National Security Modernization," likely to win government contracts and help shape AI rules for the military and intelligence agencies. Driscoll drove AI projects inside the Army, is a…

The Decoder
Research1 мин

OpenAI is quietly renaming data centers ‘compute campuses’

The Stargate AI data center ’compute campus’ in Abilene, Texas. | Bloomberg via Getty Images People hate data centers. They're loud, resource-hungry eyesores that are so profoundly unpopular they have managed to achieve the near-impossible in today's polarized political…

The Verge — AI
Research1 мин

DeepSeek is preparing a blow to NVIDIA: they want to train the new V5 on Huawei chips

🐳 DeepSeek is preparing a blow to NVIDIA: they want to train the new V5 on Huawei chips According to Chinese media, DeepSeek plans to use Huawei Ascend accelerators to train the next V5 model, reducing dependence on American GPUs. Previously, Huawei chips were mainly used...

Telegram — AI Machine Learning Big Data