AI: Kolibri 1M Tokens, $100M for Training
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Several announcements and directions are converging in AI: an open-weight model with extended context, a program with a stated amount of $100 million for talent, an orchestration of 10,000 GPUs, and released code for AI gadgets. Technical and safety pathways are also being highlighted.
Meta Releases Code, AI21 Orchestrates 10,000 GPUs, 2027 Capacity in Question
Meta has open-sourced code enabling the creation of AI gadgets called Muse. AI21 is leveraging Kueue to manage an infrastructure comprising 10,000 GPUs. Uncertainty remains regarding the number of AI agents that could run on the AI chips expected by 2027. In this context, collaboration to provide solutions to unresolved research questions in AI is deemed essential.
Technical Pathways: Small Models, Private Learning, Multimodal Self-Critique
Smaller models are seen as a future pathway for sovereignty in AI. Meanwhile, research is being conducted to develop proven and private learning from federated data. It is also reported that multimodal models learn from their own critiques.
Products and Skills: Kolibri and a $100M Program for Training
Aleph Alpha has unveiled Kolibri, an open-weight model with a context capacity of up to 1 million tokens. Anthropic has announced a financial commitment of $100 million aimed at supporting the training of AI engineering specialists. Designing AI securely requires integrating considerations that go beyond the simple launch phase.
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