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Tuesday

  1. Ant Group's inclusionAI: New GitHub repository

    Ant Group's inclusionAI publishes the sglang_ling_v3 repository on GitHub

    Ant Group's inclusionAI launches the sglang_ling_v3 repository on GitHub. Its contents are based on the open-source inference framework SGLang, which targets large language models, vision-language models, and diffusion models, and is optimized for agent workloads, large-scale serving, and RL rollout. The repository README shows that SGLang supports GPU, TPU, NPU, CPU, and Apple Silicon, and includes the built-in image and video generation engine SGLang Diffusion.

    PyPI version

    Ant Group's inclusionAI launches the sglang ling v3 repository on GitHub. Its contents are based on the open-source inference framework SGLang, which targets large language models, vision-language models, and diffusion models, and is optimized for agent workloads, large-scale serving, and RL rollout. The repository README shows that SGLang supports GPU, TPU, NPU, CPU, and Apple Silicon, and includes the built-in image and video generation engine SGLang Diffusion.

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  2. AWS Machine Learning

    Amazon SageMaker JumpStart 2026 Progress Review

    From January to September 2026, Amazon SageMaker JumpStart added more than 100 models from 30 providers, of which Alibaba (Qwen) contributed 29, NVIDIA 17, Mistral 7, Google 6 Gemma 4 variants, IBM 4, and Cohere 4. The new models cover multimodal, speech, image, and video generation, and introduce quantized and compact models such as GLM-5.2 FP8 and JetBrains Mellum2-12B to reduce inference costs.

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  3. Unite.AI

    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.

    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

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Monday

  1. BBC Technology

    How to Guard Against AI Scams: BBC's Self-Protection Guide

    The UK's National Trading Standards has released its first AI scam watchlist, listing tactics criminals use such as AI-generated fake retail websites, deepfake videos, voice cloning and personalized phishing emails. The agency advises against sending money to or sharing personal information with people you have never met, and recommends verifying the other party's identity by checking business addresses and using tools such as the FCA Firm Checker. Consumer group Which? warns that typos and grammatical errors can no longer be used as a basis for identifying scams.

    The UK's National Trading Standards has released its first AI scam watchlist, listing tactics criminals use such as AI-generated fake retail websites, deepfake videos, voice cloning and personalized phishing emails. The agency advises against sending money to or sharing personal information with people you have never met, and recommends verifying the other party's identity by checking business addresses and using tools such as the FCA Firm Checker. Consumer group Which? warns that typos and gram

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Sunday

  1. The New Beijing News

    Is "US AI boosts productivity, Chinese AI creates bread and circuses" a false premise?

    A New Beijing News commentary article questions the comparison that "55% of China's Tokens are used for AI short dramas, while 58% of the US's are used for code": the former figure comes from a listed company heavily invested in AI short dramas, the latter has no authoritative source, and Token usage does not equal computing power allocation. The article points out that video generation is a high-Token-consumption-density scenario: a 10-minute high-definition AI short drama requires 80 million to 120 million Tokens, while an R&D team of 8 to 10 people uses about 3 million to 5 million Tokens per week; as of March this year, domestic daily average Token calls had exceeded 140 trillion.

    A New Beijing News commentary article questions the comparison that "55% of China's Tokens are used for AI short dramas, while 58% of the US's are used for code": the former figure comes from a listed company heavily invested in AI short dramas, the latter has no authoritative source, and Token usage does not equal computing power allocation. The article points out that video generation is a high-Token-consumption-density scenario: a 10-minute high-definition AI short drama requires 80 million t

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  2. AYi AI NotesSelected

    3D modeling comparison test between DeepSwarm V4.1 Flash and Claude Opus 5.5

    The author compared the 3D modeling outputs of DeepSwarm V4.1 Flash and Claude Opus 5.5 using the same prompt, and questioned whether the two are at the same level in lighting and floating island details. The tweet includes a comparison video, but no further test conditions or quantitative results are given.

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