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THE DAILY INDEX

Technology, AI, software, security, crypto and business

HEADLINES & LAUNCHES

TLDR AI

ARTISANAL SHIMS FOR THE BITTER LESSON AGE

General methods that leverage computation are ultimately the most effective by a large margin. Developers building and working with AI applications should be aware that the artisanal architecture they are building may become obsolete with the next model release. They should make a note of what is not scaling with compute and focus their artisanal ingenuity there. Custom architectures may be necessary for many applications, but build them with the knowledge that they may have to be thrown away when the next frontier model drops.

WHY THERE HASN'T BEEN A CHATGPT MOMENT YET IN MANUFACTURING

The software that manages the mathematical definitions in CAD software is called a geometry kernel. Whoever first develops a truly capable foundational AI model for CAD will control a critical layer of industry infrastructure. The problem is that this critical infrastructure layer is currently monopolized by a handful of players whose business depends on maintaining closed, proprietary systems. If the US wants to maintain its industrial competitiveness, it must recognize geometry kernels as strategic infrastructure, not just commercial software products. The market has had decades to produce an open alternative and hasn't, so a coordinated public investment may be justified.

VERBALIZED SAMPLING: HOW TO MITIGATE MODE COLLAPSE AND UNLOCK LLM DIVERSITY

AI models collapse into repetitive, generic responses because human annotators systematically prefer familiar answers during training. This "typicality bias" explains why ChatGPT, Claude, and Gemini all tell the same coffee joke. The solution is simple: prompt models to "generate 5 jokes with their corresponding probabilities." This "verbalized sampling" method increased creative diversity by roughly 2x and improved human evaluation scores by 26% across tasks from story writing to social simulation.

ORACLE CO-CEOS DEFEND MASSIVE DATA-CENTER EXPANSION, PLAN TO OFFER AI ECOSYSTEM

Oracle plans to offer computing firepower and a suite of bundled services that will make artificial intelligence useful for business. Investors have expressed concerns about how its newest deals rely heavily on OpenAI, which won't generate a profit until 2029. Oracle's long-term play is to sell an ecosystem of AI solutions to large enterprises. The company has taken on debt to finance its AI infrastructure build-out, further troubling investors. However, the company has a more varied business than many realize - pretty much all of the big model providers use its cloud in one form or another.

HOW STARCLOUD IS BRINGING DATA CENTERS TO OUTER SPACE

Starcloud, under NVIDIA Inception, plans to launch AI-equipped satellites to establish data centers in space, aiming for 10x lower energy costs and higher sustainability. Its 5-gigawatt orbital center will leverage solar energy and space's vacuum for cooling, conserving Earth's resources. This approach offers faster processing for applications like wildfire detection and Earth observation, utilizing NVIDIA's advanced GPUs for real-time data inference.

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