... Beijing is investing billions into a national AI fund and its broader AI+ initiative to embed artificial intelligence across the entire economy. Backed by strong state support, domestic chip production, and lower manufacturing costs, China can scale AI solutions rapidly and analysts say it s on track to surpass the U.S. in the race for AI dominance. (IMO, it already happened.) And one of the examples is these 2 news items I read today: 1) Alibaba unveils Qwen3.5 as China ... ... roll out RynnBrain across their warehouses and logistics, they'll get a training dataset that Tesla could only dream of Comment from Arina Mironova(@arinam): @danny_quesada  well the US is trying to do something with the CHIPS

... sparked an interesting thought experiment: how likely is it that we ll see AGI (AI that thinks and learns like a human) within the next five years? The report highlights a fascinating divergence: the view from money vs. the view from science. Money : the probability inferred from trillions poured into data centers, Nvidia chips

... TikTok, you must stop? Chinese tech regulators won t let ByteDance use Nvidia s chips in its new data centers. The TikTok owner needs a lot of computing power to keep its 1 billion+ users watching lip-syncing videos. But Nvidia is a U.S. company, and China wants data centers made with homegrown chips

... evolves If there s interest, I m happy to open-source some visual models we ve built (3D decision manifolds, SDE simulations, etc.) for discussion here. Would love your take. How do you see the next decade of AI chips playing out? #Semiconductors #AICompute #DataCenters #OplexaInsights ...

... Bridge Memory is a feature idea for Claude (Anthropic s AI assistant) that lets devs temporarily pull in read-only context ( Memory Chips ) from other projects for a single thread so you can reuse standards, snippets, and runbooks without leaking data or polluting memories. What it is * Memory Chips

... expensive GPT-5 is estimated to cost up to $1B to train, yet the improvement is mostly superficial. What we re getting is better packaging, not better reasoning. Meanwhile, a quiet shift is happening in the background. Research in alternative architectures is starting to show surprising results. Liquid Neural Networks, for example, are achieving task-specific performance far beyond what transformers deliver using a fraction of the resources. Neuromorphic chips

... built Nutralyze, a mobile app that suggests healthier or more suitable alternatives the moment you type the food (and amount) you want to skip e.g., 150g fries get swaps with a quick rationale. How it works Enter the food + amount you d like to avoid. AI returns contextual alternatives

... Yesterday I read an article in Reuters that Mark Zuckerberg is investing billions in developing his chips to reduce his dependence on NVIDIA. Microsoft, OpenAI, and Google want to make them too. I might see lower costs for the company, its dependency on another supplier, and performance. How might this be reflected in the end user? (Us?) Do you have any additional information? Comment from Nika(@busmark_w_nika): @yashara  We may be surprised what will happen ... ... will change the game and the big companies will chase another trend. Comment from Yashar(@yashara): My money is on Microsoft. Either way they win. They are heavily invested in OpenAI who uses Nvidia, and now building their own chips

... love to hear your thoughts on the following: 1. Which 4U server models have the best performance for handling heavy workloads? o I m particularly looking for servers with powerful processors (think Xeon, EPYC, or ARM-based chips) and ample memory capacity. 2. How important is GPU integration for HPC on 4U servers? o Would love to know if integrating multiple GPUs makes a noticeable difference in performance and which models support this well. 3. What s your experience with ... ... cooling and power efficiency of 4U servers for long-term use in HPC? o Since HPC workloads can be resource-intensive, efficient cooling and power management are crucial. Any recommendations for systems with these features? 4. Budget-friendly options vs