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THE DAILY INDEX

Technology, AI, software, security, crypto and business

HEADLINES & LAUNCHES

TLDR AI

ATLAS: A WORLD MODEL FOR SPATIAL INTELLIGENCE

Atlas is a world generation model pretrained from scratch to natively operate on text, images, video, and 3D. It combines all inputs into a shared spatial context and uses that context to generate what comes next. The model is built to scale, and its performance improves with increased training compute. Atlas can perform a broad range of tasks spanning world generation, reconstruction, and simulation. Video examples of what the model is capable of are available in the article.

THE EFFICIENT FRONTIER OF LLM INFERENCE

Frontier models offer the highest degree of intelligence at a given cost or size. Efficient frontiers also exist in inference engineering. This is most often expressed as a trade-off between latency and throughput, but researchers can also exchange quality for throughput, or intelligence for speed. This article details what inference engineering techniques let researchers target a point on the frontier and which techniques push the frontier out.

WHAT COMES AFTER HBM

A handful of early-stage memory technologies could yield either faster access speeds than current HBM or HBM-bandwidth with NAND-like density. Technologies like magnonics and vertical FeRAM stand out as being possible platonic ideals for memory, but they have a very long way to go before being remotely commercially relevant. Commercializing these technologies will require founding teams capable of raising hundreds of millions of dollars, possibly billions. If any of these technologies make it, they would be truly revolutionary transformations of the constraints for AI and how developers think about these systems.

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