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Meituan releases LongCat-2.0, a 1.6 trillion‑parameter LLM with a million‑token context, trained entirely on Chinese accelerators, challenging Nvidia’s dominance.
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Australian startup Springboards rolls out Flint, an LLM designed to break the AI groupthink habit and deliver more varied chatbot answers.
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A researcher dubbed Bikini disclosed dozens of zero‑day flaws in key open‑source projects via LLM fuzzing, sparking a rapid patch race and new security concerns.
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Subquadratic says its SubQ model cuts cost, energy and latency, processing up to 12× more text while matching top LLM performance. Independent tests back the claim.
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IEEE rolls out a five‑course online program to teach engineers the how and why of large language model training, addressing the fast‑growing AI market.
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Hugging Face unveils olmo-eval, a modular evaluation workbench that streamlines LLM development with flexible benchmarks and robust analysis tools.
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