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1. GLM-5.2 Sparks New "DeepSeek Moment" - Open-Weight Model Beats GPT-5.5 at a Fraction of the Cost
Zhipu AI (Z.ai) released GLM-5.2, a 753B-parameter open-weight model with an MIT license and 1M-token context window. It scores 54.7 on Humanity's Last Exam (ahead of GPT-5.5's 52.2), reached #2 on Code Arena's frontend leaderboard outperforming Claude Opus 4.7, and costs $1.40/M input tokens and $4.40/M output tokens - roughly a sixth of what Claude Opus 4.8 charges. Snowflake's CEO confirmed it is competitive with Opus 4.7 at a fraction of the cost.
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2. White House Asks OpenAI to Stagger GPT-5.6 Release Over National Security Concerns
The Trump administration formally asked OpenAI to release GPT-5.6 only to a small group of government-approved partners before any broader public launch, citing national security concerns. This marks the first time the U.S. government has preemptively asked an AI company to restrict a model release. An internal memo indicates the model will undergo a government-controlled preview before wider availability.
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3. Anthropic Accuses Alibaba of Illicitly Extracting Claude Capabilities via Distillation
Anthropic alleges that Alibaba used fraudulent accounts to access data from its Claude AI model, sparking a debate over AI distillation - the technique of training a new model using outputs from a more powerful one. GLM-5.2 from Zhipu AI was released a day after the alleged extraction, raising questions about the provenance of training data for Chinese open-weight models.
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4. OpenAI and Broadcom Debut "Jalapeno" - First Custom AI Inference Chip
OpenAI unveiled its first custom AI chip, "Jalapeno," built with Broadcom and Celestica specifically for large-scale inference workloads. The chip measures roughly 840mm2 in die size (near the EUV reticle limit) and was developed in a nine-month cycle. OpenAI plans to use enough homegrown chips to consume ten gigawatts of electricity, a direct strategic move to reduce dependence on Nvidia.
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5. Qualcomm Unveils AI Data Center Platform, Lands Meta as Customer to Challenge Nvidia
Qualcomm announced new AI data center processors and secured Meta Platforms as a customer for its data center CPUs, marking a significant push into the AI infrastructure market dominated by Nvidia. The expansion includes a full AI infrastructure strategy spanning inference accelerators and server processors.
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6. Italy's Domyn Announces Fully Open-Source Frontier AI Model Within a Year
Italian AI company Domyn announced plans to release a fully open-source frontier AI model within a year, aiming to build one of the most advanced open-source systems available. CEO Uljan Sharka made the announcement on Thursday, adding another European entrant to the open-source frontier model race alongside Mistral and others.
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7. Japan Anchors Growth Strategy Around JPY101.6 Trillion AI Chip Investment
Japan's government is putting a JPY101.6 trillion ($700B+) AI and semiconductor investment push at the heart of a JPY370 trillion national growth roadmap. Prime Minister Sanae Takaichi is using state-backed investment as a strategic policy lever, targeting domestic chip development and AI infrastructure to reduce reliance on foreign technology.