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Venture capitalists have already invested $192.7 billion in AI startups in 2025 - a new record. For the first time, more than half of all global VC funding is flowing into AI, according to an analysis by PitchBook.

Major players like Anthropic and xAI have secured multi-billion dollar rounds, while smaller startups outside the AI sector are finding it harder to raise money. Kyle Sanford at PitchBook describes the result as a split market - it's either AI or not.

In the US, 62.7 percent of VC funding went to AI companies, compared to 53.2 percent worldwide. In total, global VC investment for 2025 stands at $366.8 billion, with $250.2 billion coming from the US.

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Cognitive scientist Melanie Mitchell is pushing back against recent New York Times columns by writer Thomas Friedman, criticizing his framing of advanced AI.

In his pieces, Friedman calls for close U.S.-China collaboration on AI regulation and warns of an approaching "superintelligence." Much of his argument leans on comments from his friend Craig Mundie, the former Microsoft executive, as well as media reports. Mitchell says these claims lack scientific evidence. According to her, examples Friedman cites - like AI "teaching itself" new languages or chatbots pursuing their own hidden agendas - can be explained by training data and have been debunked.

Mitchell describes Friedman’s outlook as "magical thinking." In her view, he ascribes AI with mysterious powers that actually stem from human data and relatively simple mechanisms. She warns that because of Friedman’s broad reach, these myths risk shaping public understanding of AI. Instead of speculative scenarios, Mitchell argues for fact-based realism and human-led regulation.

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Huawei introduced its new AI supercomputer, the Atlas 950 SuperCluster, at the Connect 2025 conference. The system uses more than 524,000 Ascend-950DT chips and, according to Huawei, can deliver up to 524 FP8 exaFLOPS for training and 1 FP4 zettaFLOP for inference. That makes it capable of handling models with trillions of parameters, according to Huawei.

In contrast to Nvidia's Rubin systems, Huawei continues to focus on scale over individual chip performance. As reported by Tom's Hardware, the setup requires about 64,000 square meters of floor space. Huawei is already planning a follow-up: the Atlas 960, slated for 2027, will include more than one million chips.

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