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DeepSeek-V4.1-Flash-1017 Tops Code Arena WebDev Open-Source Leaderboard

Arena announced that DeepSeek-V4.1-Flash-1017 (Max) surpassed open-source models such as Kimi K3 (Max) with a score of 1670, becoming the highest-ranked open-source model on the Code Arena: WebDev leaderboard, and also surpassed closed-source models such as Claude Opus 5 and Grok 4.7, trailing GPT-6 Sol by only 12 points. The model was launched on October 17, priced at 2 yuan per million tokens for input (cache miss) and 8 yuan for output during peak hours, and 1 yuan for input and 4 yuan for output during idle hours, with a comprehensive cost of about 1/10 that of Kimi K3. Zhidongxi used it to create two cases, an ancient Kaifeng 3D scene and a web-based racing game, both completed in a single attempt, at a total cost of about 6 yuan.

Tenstorrent Completes $150 Million Series E Funding at a $6.2 Billion Valuation

AI chip company Tenstorrent has completed a $150 million Series E funding round co-led by Trace Capital and Innovation X, at a valuation of $6.2 billion. The company centers on its RISC-V-based Tensix Neo accelerators and Ascalon CPU, paired with the TT-Forge, TT-Metalium, and TT-LLK open-source software stack, with products spanning Galaxy servers, TT-QuietBox workstations, and Blackhole cards. This round of funding will be used to expand Galaxy server production capacity, support RISC-V ecosystem research, and grow its global team.

Indian Supreme Court proposes hash database and penalty framework to platforms for CSAM regulation

In a 137-page order, the Indian Supreme Court declined to ban children from using social media or impose age-based restrictions, holding that internet access is a fundamental right guaranteed under Articles 21 and 19(1)(a) of the Constitution, while also proposing a regulatory framework for child sexual abuse and exploitation material (CSEAM/CSAM). The framework calls for a national database recording hashes and URLs of confirmed content, which could be built on the Sahyog portal, along with supporting processes including manual verification, an independent appeals channel, confirmation of reports within 24 hours, takedown within two hours, and reporting to bodies such as the SJPU. The court also recommended that the government consider fines beyond intermediary liability and the confiscation of revenue earned from disseminating such content through paywalls; the framework has not yet been implemented, and the government must submit an affidavit before the next hearing on December 10 explaining its progress.

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Former Google DeepMind researcher founds London AI company Metis Reasoning, focusing on compute-efficient reasoning

Metis Reasoning, a London AI company co-founded by former Google DeepMind research lead and AlphaGo co-creator Thore Graepel, has officially launched, seeking a compute-efficient path distinct from the frontier models of Anthropic and OpenAI, and is believed to have raised tens of millions of dollars in initial funding. The company has a team of 12 people, including researchers, mathematicians, robotics experts, and technology entrepreneurs. It believes that LLMs have fundamental limitations in reasoning, that results are difficult to verify, and that there is a lack of audit trails; its approach is more verifiable, more robust, and safer, and it says it has already achieved some positive results on frontier reasoning problems at a cost far below that of frontier models. Metis has not yet announced a release date for its first AI model.

Tenstorrent Completes $150 Million Series E Funding at a $6.2 Billion Valuation

Tenstorrent announced the completion of a $1.5 billion Series E funding round at a post-money valuation of $6.2 billion, led by Trace Capital and Innovation X. The funds will be used for large-scale deployment of Galaxy servers, continued support for open-weight models for large language models and video generation, and advancing externally licensed AI and CPU intellectual property. The company builds AI processors and systems based on RISC-V, and licenses the TT-Ascalon RISC-V CPU and Tensix AI cores to chip designers such as Samsung and LG.

Microsoft exits Nscale's UK Essex AI data center project over power supply issues

Microsoft has exited UK company Nscale's AI data center project in Loughton, Essex, due to power supply issues, and will no longer serve as the project's anchor tenant. The project was once called by the UK government the country's largest sovereign AI data center and was originally planned to open next year, but UK grid operator UKPN said it would not be able to provide sufficient power until the early-to-mid 2030s at the earliest. Nscale said it remains committed to the project, is exploring alternative power supply options such as on-site generation, and said its long-term partnership with Microsoft is unaffected.

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The Ministry of Commerce and the Ministry of Science and Technology plan to revise the technology export catalog, adding 23 artificial intelligence technologies

On October 16, the Ministry of Commerce and the Ministry of Science and Technology issued an announcement proposing to revise the Catalog of Technologies Prohibited or Restricted from Export in China, soliciting public comments on 40 technologies in three fields: artificial intelligence, biomedicine, and photovoltaics, while simultaneously implementing pre-export registration management. The artificial intelligence field involves 23 technologies related to large models, agents, computing power clusters, and information processing; the restricted export section lists specific indicators such as AI chip design, high-speed interconnection of computing power clusters, and fault tolerance in distributed training. The announcement specifies that technologies that have entered the public domain through open source, published academic papers, and other means are not included in the scope of management, and that enterprises using restricted large models to provide external API calls, APP or web interaction, SaaS applications, and local on-device lightweight deployment do not fall within the scope of large model technology export management.

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