What Greg Brockman believes
Distilled positions on specific topics, each backed by citations to their public posts. Older versions of a belief are preserved when the position evolves.
Convolutional multi-hybrid architectures, which tailor operators for token manipulation tasks like in-context recall and compression, and co-design operators with hardware-aware algorithms, are key to efficiency gains in AI models.
Earlier version · 2026-05-07
BEFORE: Convolutional multi-hybrid architectures, which tailor operators for token manipulation tasks like in-context recall and compression, offer efficiency gains when co-designed with hardware-aware algori | AFTER: Convolutional multi-hybrid architectures, which tailor operators for token manipulation tasks like in-context recall and compression, and co-design operators with hardware-aware algorithms, are key to
Convolutional multi-hybrid architectures, which tailor operators for token manipulation tasks like in-context recall and compression, offer efficiency gains when co-designed with hardware-aware algorithms.
Biological foundation models, such as Evo 2, trained on vast amounts of DNA base pairs from across all domains of life, are crucial for understanding and intelligently composing new biological systems.
- Genome modeling and design across all domains of life with Evo 2· semantic_scholar
Biological foundation models like Evo 2, trained on trillions of DNA base pairs, are crucial for understanding the complexity encoded by genomes and intelligently composing new biological systems.
- Genome modeling and design across all domains of life with Evo 2· semantic_scholar
While LLMs excel at generating code for high-resource programming languages, they significantly struggle with low-resource programming languages, creating a digital divide and hindering innovation in underrepresented programming communities.
Earlier version · 2026-05-07
BEFORE: While LLMs excel at generating code for high-resource programming languages, they struggle significantly with low-resource languages, creating a digital divide and hindering innovation in underreprese | AFTER: While LLMs excel at generating code for high-resource programming languages, they significantly struggle with low-resource programming languages, creating a digital divide and hindering innovation in
While LLMs excel at generating code for high-resource programming languages, they struggle significantly with low-resource languages, creating a digital divide and hindering innovation in underrepresented programming communities.
OpenAI is releasing open-weight language models like gpt-oss-120b and gpt-oss-20b, which are designed for advanced reasoning with efficient mixture-of-expert transformer architectures, to promote broader research and application.
The Ruby programming language and its associated libraries (e.g., for MySQL, mail, payment processing, Git, MongoDB) continue to be relevant and actively developed, indicating a belief in its utility for various applications.
- gdb starred brianmario/mysql2: A modern, simple and very fast Mysql library for Ruby - binding to libmysql· github
- gdb starred mikel/mail: A Really Ruby Mail Library· github
- gdb starred activemerchant/active_merchant: Active Merchant is a simple payment abstraction library extracted from Shopify. The aim of the project is to feel natural to Ruby users and to abstract as many parts as possible away from the user to offer a consistent interface across all supported gateways.· github
- gdb starred ruby/ruby: The Ruby Programming Language· github