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Sunday, 28 June 2026

Latest open artifacts (#22): Zyphra, Cohere, and Poolside are expanding the breadth of the ecosystem

Interconnects 2 months ago 53 ● 3 sources

Multiple AI companies including Zyphra, Cohere, and Poolside released new open-source models, reflecting a shift toward greater diversity in the open model ecosystem beyond the Chinese companies that previously dominated the space. Command A+ from Cohere is a 218-billion-parameter mixture-of-experts model licensed under Apache 2.0, while Poolside and Zyphra released their flagship models with commitments to continued open releases. This expansion enables specialized model development across different company types—from frontier researchers to product companies building niche models—rather than concentrating development among a few players.

HP Inc. launches Frontier strategic partnership with OpenAI

OpenAI 2 months ago 27

HP Inc. has expanded its partnership with OpenAI to integrate AI across customer-facing services, internal software development, and business operations. The company will use OpenAI's models to enhance products and streamline workflows across its printer, computing, and printing services divisions. This deployment aims to improve how HP serves enterprise customers while accelerating its own operational efficiency.

The Sequence Radar #885: Last Week in AI: Models, Games, and the Future of Evaluation

Substack 2 months ago 50 ● 2 sources

OpenAI released GPT-5.6 as a three-tier model suite (Sol, Terra, Luna) with structured safety architecture and phased access strategy, while Anthropic introduced Claude Tag for structured prompt interaction and General Intuition raised $320M at $2.3B valuation to train large action models on gameplay clips. The most concrete development was the LayerLens Stratix Cup, where Claude Opus 4.8 defeated GPT-5.5 1-0 in a soccer-based evaluation arena, demonstrating models executing complex autonomous behavior under real-time constraints rather than answering static questions. These releases signal a shift from evaluating models on benchmark leaderboards toward testing them in dynamic environments where they must sense, plan, and adapt, reshaping how AI development prioritizes embodied reasoning and real-world deployment safeguards.

🔮 Fifty years of Moore’s Law wasn’t fast enough for AI #580

Exponential View 2 months ago 35 ● 3 sources

A new State of the AI Economy report identifies a break in the 50-year trend of global compute growth, showing a sharp acceleration since 2020 driven by AI accelerators and floating-point operations. The previous consistent 66% compounded annual growth rate in global compute stock remained steady through platform shifts from mainframes to PCs to mobile, but this pattern changed markedly in 2023 as AI infrastructure demands surged. This acceleration is expected to sustain for years or potentially a decade before reverting to historical norms, fundamentally reshaping how compute resources are allocated and utilized across industries.

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