Power Hungry

Most things having to do with computers, AI systems and large networks, all share one problem. They consume a tremendous amount of energy. Even those who are actively engaged in “Bitcoin mining” will confess that the single biggest ongoing expense is to deal with is the cost of energy. You can think of Bitcoin mining as a kind of verification process for Bitcoin transactions. Bitcoin mining can make a lot of money.

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Nvidia vs Huawei – AI Chip Wars

Much to the surprise to Apple, Samsung and several other tech companies, Huawei released the world’s first triple folding smart phone,  the Mate XT Ultimate. A user can use the device as a regular smart one, one section or expand the phone to all three sections, giving the user the experience of a tab. It is quite the device, no doubt. The Mate XT is using an advanced Huawei processor, the new Ascend 910C which is seriously competing against the Nvidia’s H100 GPU. Nvidia is seriously being challenged in AI GPU space. While Huawei has its work cut out for its which challenges with supply chain and American sanction, the technology itself is incredibly good.

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A Solution Looking for a Problem

OpenAI CEO Sam Altman, its “alpha  dog” promoter, recently posted a note  spelling out more of his “vision” of an AI powered Future.  He is suggesting that “deep learning works” and be generally used across a range of domains and difficult problem sets.  He suggests fixing climate change, establishing a space colony and further advancements in physics, or so he purports. Maybe.

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AI Investment Market

Investing in AI companies is a vibrant and rapidly evolving area, characterized by numerous trends and opportunities.

1. INCREASED INTEREST AND FUNDING: There has been significant interest from both venture capital (VC) and public markets. Investors heightened interest in AI is due to its potential to transform various industries, including healthcare, finance, retail, and manufacturing.

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