AI Open Innovation and AI Alliance
summary
Announces an alliance now above 100 members co-launched with Meta to build open AI infrastructure and governance, organized into six focus areas including safety, tooling, hardware and education. Describes Instruct Lab, an automated pipeline that uses LLMs to generate and refine synthetic training corpora so subject‑matter experts can instruct‑tune open models (public and private variants). Releases the Granite models family under Apache‑2 for code generation that leads benchmarks. Spins up an AI for Materials working group focused on discovery and sustainability.
AI-written summary · about
chapters (10)
- 0:00AI open innovation in Japan
- 1:07IBM in AI Alliance and open models
- 2:33Why AI breakthroughs matter
- 5:20Building AI systems beyond models
- 8:12Defining open-source AI
- 13:06AI Alliance mission and focus
- 16:40AI Alliance projects and groups
- 18:48IBM and Red Hat’s open AI
- 23:43Granite models and code generation
- 25:30Q&A on AI Alliance groups and security
related talks
33mIntroducing the AI Alliance
13mKeynote : The Open Source AI Alliance
31mOpen-Source AI: Community is the Way.
33mBuilding Ethical AI: The Power of Open Source and Education
15mArtificial Intelligence Needs Community Intelligence
34mThe Future of Open Source AI & The Generative AI Commons
58mAI in Reality Fireside Chat: Enterprise AI & Open‑Source Innovation
40mUnleashing Collective Genius: Building GenAI Through Open Collaboration