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President Donald Trump is weighing new export restrictions on AI chips from companies like Nvidia to Malaysia and Thailand to curb suspected semiconductor smuggling into China. While the White House has already banned sales of Nvidia’s H20 chips to China over national security concerns, officials believe further action may be needed. Sources say limiting exports to these Southeast Asian countries could cut off critical alternative pathways through which China acquires US-made semiconductors. The Commerce Department has reportedly drafted a version of the proposed rule, though it remains under review and has not yet been finalized. Sources revealed that the Trump administration could couple the Malaysia and Thailand controls with a formal withdrawal of the global limits defined by the AI diffusion rule, which Biden imposed. During Biden’s term, the government set multiple semiconductor restrictions to fight off smuggling and boost the American chip market. The curbs, however, have since sparked criticism from the country’s trading partners and tech firms like Nvidia. Trump had promised to scrap some of those restrictions. In May, the Commerce Department said it would replace the diffusion approach with a “bold, inclusive strategy.” Still, some doubt the department’s draft could offer a complete or adequate replacement for the existing framework. Some have argued that, for starters, their proposal fails to detail security requirements for the international use of US chips, a particularly highly sensitive issue for the Middle East. However, it’s still uncertain whether Trump officials will eventually expand AI chip export controls beyond Malaysia and Thailand to include a broader range of countries. The agency has only stated that it will permit the nation’s allies to purchase AI chips only if a vetted American data center operator operates them and an approved American operator manages any associated cloud infrastructure. In May, Nvidia CEO Jensen Huang stated that no evidence suggests AI chips are being redirected to China. He emphasized that the company’s hardware is too large to be easily smuggled and noted that clients are well aware of existing regulations, making them cautious to remain compliant. He commented, “There’s no evidence of any AI chip diversion. These are massive systems. The Grace Blackwell system is nearly two tons, and so you’re not going to be putting that in your pocket or your backpack anytime soon.” Meanwhile, speaking to Bloomberg on the possible export curbs, the Thai government said it’s still waiting to receive more information, while Malaysia’s Ministry of Investment, Trade and Industry echoed the importance of transparent and stable policies for the tech industry. So far, tech companies, including Oracle Corp., have doubled down on their data center projects in Malaysia, with chip shipments rising. Washington had earlier warned the Malaysian government about potential chip diversion, prompting assurances that the matter would be closely scrutinized. However, the US government has not dropped those concerns. In June, Malaysia’s trade ministry confirmed that a Chinese firm in the country was utilizing servers infused with Nvidia chips for LLM training. It said it collaborated with relevant agencies to see whether the company violated local laws. The Wall Street Journal also claimed that Chinese engineers arrived in Malaysia in early March carrying suitcases filled with hard drives. According to the report, their objective was to use Nvidia-based servers in Malaysian data centers to develop AI systems. KEY Difference Wire helps crypto brands break through and dominate headlines fast

Web3 cloud platform ICN completes 28.8 million euros in financing, with a valuation of 398 million euros, led by NGP Capital Impossible Cloud Network (ICN), a decentralized cloud platform headquartered in Zug, Switzerland, announced the completion of 28.8 million euros in financing, with the latest valuation reaching 398 million euros. This round was led by NGP Capital, with participation from 1kx, Protocol Labs and others. ICN also launched its native token ICNT and plans to list on multiple centralized exchanges such as #Binance and Kraken. ICN is committed to building a permissionless Web3 cloud infrastructure, positioning itself as an alternative to traditional cloud giants such as AWS.

Web3 cloud platform ICN has completed a €28.8 million funding round at a €398 million valuation, with lead investment from NGP Capital.

grateful to @RamshreyasR for correcting me on this prediction. it seems vector embedding is already on the way out Googles gemini now has 2 million tokens as context window, which is around 6000 pages! so we no longer need long term memory (vector embedding) & short term (context window) as we can just run the entire instance using cache augmented generation One reason for the increase is also why Google is today's frontrunner in AI: it has its own cloud architecture so with LLMs, they can ensure 90%+ utilization of their server capacity google cloud has spikes in usage which they can now load balance by using downtime to train their LLM models on questions with verified answers (like math problems, medical tests, entrance exams, etc) So with their vertical integration of cloud servers & LLMs, they're outcompeting claude & open ai which rely on renting servers from aws or azure for training