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Strategies & Market Trends : 2026 TeoTwawKi ... 2032 Darkest Interregnum -- Ignore unavailable to you. Want to Upgrade?

To: bull_dozer who wrote (210606)	1/27/2025 5:22:04 PM
From: TobagoJack	Read Replies (1) \| Respond to of 217564

*>> THE FCKING FCKS* Re <<Did DeepSeek started mining precious metals and open source it?>> Gold doing okay, relative to S&P, meaning should we wish, and we do not, we can choose to buy more S&P than we could before open-sourcing

To: bull_dozer who wrote (210606)	1/27/2025 6:26:31 PM
From: TobagoJack	Respond to of 217564

*>> THE FCKING FCKS* NVDA likely fine, just as gold fine. Faster AI adoption, more widely taken up, populating work-space, likely do wonders for gold, for encouragement of consumption in the west and support of R&D-enhanced manufacturing in the east requires more fiat dispensation bloomberg.com Nvidia Calls DeepSeek ‘Excellent’ AI Advance, Dismisses Concerns Ian KingJanuary 28, 2025 at 4:52 AM GMT+9 Nvidia Corp., the biggest provider of chips used to train artificial intelligence software, said a new model released by Chinese startup DeepSeek is an “excellent AI advancement” that complies with US technology export controls. “DeepSeek’s work illustrates how new models can be created” using the Test Time Scaling technique, the company said in an emailed statement, “leveraging widely available models and compute that is fully export control compliant.” Nvidia’s statement indicates that it believes that the Chinese company didn’t violate US restrictions that limit access to advanced US chips in the creation of its technology. Most of Nvidia’s best products can’t be sold to Chinese companies without licenses from Washington — permits that are not typically granted. The statement also appears to dismiss some analysts’ and experts’ suspicions that the Chinese startup couldn’t have made the breakthrough it has claimed. After more than quintupling in the past two years, Nvidia’s shares plummetedMonday in one of the biggest selloffs in history, on concern that DeepSeek’s offering reduces the need for the expensive type of hardware that the US chip company offers. Nvidia’s statement, though, points out that inference, the work of running AI models, nonetheless requires a lot of its products. “Inference requires significant numbers of Nvidia GPUs and high-performance networking,” the company said.