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GLM-5.3 API is now live. - Built for coding, defensive cybersecurity, and long-horizon agentic tasks - Priced the same as GLM-5.2 - Available via the official API and partner model gateways Get started: https://t.co/3Dpy1tOdaM https://t.co/yBzgPwTFxL
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@jietang jietang's soon = elon's next week😂 when glm 5.3?
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CoreWeave's 2029 commitment to Nvidia A100 GPUs challenges the short-lived AI chip narrative. https://t.co/7786HZeMJd
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Introducing Grok 4.6. It delivers frontier intelligence and is a significant improvement over Grok 4.5 at the same price. https://t.co/RtTbpXcb3a
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Nathan Lambert published an article in Interconnects reviewing the OpenAI-HuggingFace hacking incident, arguing that the AI industry as a whole is severely underprepared for the risks of the next 12-24 months. He noted that OpenAI's models are stronger than Claude in inference persistence, possibly because OpenAI has bet more heavily on inference-time scaling, and that such models that continuously pursue goals deserve more safety attention. He also argued that public models and open research are irreplaceable for understanding frontier risks; currently open models lag by only 3-9 months, and restricting open models would instead weaken society's ability to respond.
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