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Sunday

  1. Story1 reports · 1 facts

    SageMaker JumpStart offers a curated catalog of AI models

    Amazon SageMaker JumpStart provides a curated catalog of AI models, solution templates, and example notebooks. According to a retrospective published by AWS Machine Learning on October 20, 2026, from January to September 2026, the catalog 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 newly added 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. The catalog currently retains the above additions.

    Amazon SageMaker JumpStart provides a curated catalog of AI models, solution templates, and example notebooks. According to a retrospective published by AWS Machine Learning on October 20, 2026, from January to September 2026, the catalog 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 newly added models cover multimodal, speech, image, and video generation, and introduce quantized and

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  2. Story2 reports · 1 facts

    Tenstorrent Completes $1.5 Billion Series E Funding Round

    Tenstorrent announced the completion of its Series E funding round. Earlier reports stated the round amount was $150 million, while later reports stated the round amount was $1.5 billion; both reports said the post-money valuation was $6.2 billion, co-led by Trace Capital and Innovation X. The company develops AI processors and systems based on the RISC-V architecture, with products including the Tensix AI core, the TT-Ascalon CPU, as well as Galaxy servers, TT-QuietBox workstations and Blackhole cards, along with the TT-Forge, TT-Metalium and TT-LLK open-source software stacks. Regarding the use of funds, earlier reports said the money would be used to expand Galaxy server production capacity, support RISC-V ecosystem research and expand the global team; later reports said it would be used for large-scale deployment of Galaxy servers, continued support for open-weight large language models and video generation models, and advancing externally licensed AI and CPU intellectual property.

    Tenstorrent announced the completion of its Series E funding round. Earlier reports stated the round amount was $150 million, while later reports stated the round amount was $1.5 billion; both reports said the post-money valuation was $6.2 billion, co-led by Trace Capital and Innovation X. The company develops AI processors and systems based on the RISC-V architecture, with products including the Tensix AI core, the TT-Ascalon CPU, as well as Galaxy servers, TT-QuietBox workstations and Blackhol

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  3. Story1 reports · 1 facts

    UK National Trading Standards creates its first AI scam watchlist

    The UK National Trading Standards has for the first time developed and published an AI scam watchlist, listing methods criminals use AI for, such as generating fake retail websites, deepfake videos, voice cloning and personalized phishing emails. The agency advises the public not to send money to people they have never met or provide personal information, and to verify the other party's identity by checking merchant addresses and using tools such as the FCA Firm Checker. The consumer organization Which? warns that typos and grammatical errors can no longer be used as a basis for identifying scams. The list has now been published, with no further developments at present.

    The UK National Trading Standards has for the first time developed and published an AI scam watchlist, listing methods criminals use AI for, such as generating fake retail websites, deepfake videos, voice cloning and personalized phishing emails. The agency advises the public not to send money to people they have never met or provide personal information, and to verify the other party's identity by checking merchant addresses and using tools such as the FCA Firm Checker. The consumer organizatio

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  4. Story1 reports · 1 facts

    Elon Musk posts, lamenting the difficulty of renting AI/SI computing power

    On October 19, 2026, Elon Musk posted, lamenting the experience of renting AI/SI computing power, and attached a video without further explanation. There are currently no subsequent developments or official responses, and the status of the event remains at the posting of that post itself.

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  5. Story1 reports · 1 facts

    Blogger AYi compares the 3D modeling results of DeepSwarm V4.1 Flash and Claude Opus 5.5

    On October 18, 2026, blogger AYi published content comparing the 3D modeling outputs of DeepSwarm V4.1 Flash and Claude Opus 5.5 using the same prompt. The content includes a comparison video, and the author questions in the post whether the two are at the same level in terms of lighting and floating island details. The available information does not provide further test conditions or quantitative results, nor does it offer any follow-up developments.

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  6. Story1 reports · 1 facts

    PixVerse promotes the in-app F1 Chaos gameplay

    PixVerse promotes the in-app F1 Chaos gameplay. On October 17, 2026, the official PixVerse account posted a chase-themed demo video and prompted users to search for "F1 Chaos" within PixVerse to create the same effect. Currently, this gameplay is showcased to the public through the official account's demo video, and users can search for and use it in the app as instructed.

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  7. Story1 reports · 1 facts

    Jensen Huang advocates building a flywheel instead of export controls

    On October 17, 2026, during a conversation with Lex Fridman in Taiwan, Jensen Huang expressed opposition to computing power export controls, advocating a "flywheel" logic in place of blockade. He argued that blockades make sense for physical goods such as rare earths and bullets and bombs, but that the more widely the United States sells computing technology, the safer it becomes: sales generate wealth, wealth is invested in more R&D, and this cycle keeps the United States ahead, because the safest countries in the world tend to be the wealthiest. The full video was published on Lex Fridman's YouTube channel. This claim is currently reported by a single source, with no subsequent developments of fact.

    On October 17, 2026, during a conversation with Lex Fridman in Taiwan, Jensen Huang expressed opposition to computing power export controls, advocating a "flywheel" logic in place of blockade. He argued that blockades make sense for physical goods such as rare earths and bullets and bombs, but that the more widely the United States sells computing technology, the safer it becomes: sales generate wealth, wealth is invested in more R&D, and this cycle keeps the United States ahead, because the saf

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Tuesday

Wednesday

Sunday

  3. Story1 reports · 1 facts

    Tencent launches the Lüpaopao short drama mini-program within the WeChat ecosystem

    Tencent has launched the "Lüpaopao" short drama mini-program within the WeChat ecosystem, without creating a standalone app. It focuses on "free good dramas, watch with one tap," and features a "Friends are watching" social recommendation section on its homepage. Its core performance metric is average playback time per user. According to a TMTPost·AGI report on October 18, 2026, during the gray-scale testing period, the AI-simulated-actor short drama "Film Queen Yaya" surpassed hundreds of millions of views within 3 days of launch, with peak concurrent online viewers exceeding 2 million and advertising revenue reaching several million yuan. The report considers short dramas to be a scenario for technical validation and commercial monetization of Tencent's Hunyuan video generation model. There is currently no subsequent development supported by evidence.

    Tencent has launched the "Lüpaopao" short drama mini-program within the WeChat ecosystem, without creating a standalone app. It focuses on "free good dramas, watch with one tap," and features a "Friends are watching" social recommendation section on its homepage. Its core performance metric is average playback time per user. According to a TMTPost·AGI report on October 18, 2026, during the gray-scale testing period, the AI-simulated-actor short drama "Film Queen Yaya" surpassed hundreds of milli

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Monday

Monday

  1. Story1 reports · 1 facts

    She Zongming believes that comparing the uses of AI computing power between China and the US is a false premise

    She Zongming proposed a judgment, arguing that comparisons of the uses of AI computing power between China and the US such as "US AI boosts productivity, Chinese AI creates bread and circuses" are a false premise. A Beijing News commentary article questioned this comparison: the claim that "55% of China's Tokens are used for AI short dramas" comes from a listed company heavily invested in AI short dramas, while "58% of the US's is used for code" has no authoritative source, and Token usage does not equal where computing power is directed. The article also pointed 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. At present, this judgment is carried by the above-mentioned commentary article, and there are no subsequent developments.

    She Zongming proposed a judgment, arguing that comparisons of the uses of AI computing power between China and the US such as "US AI boosts productivity, Chinese AI creates bread and circuses" are a false premise. A Beijing News commentary article questioned this comparison: the claim that "55% of China's Tokens are used for AI short dramas" comes from a listed company heavily invested in AI short dramas, while "58% of the US's is used for code" has no authoritative source, and Token usage does

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Saturday

  1. Story2 reports · 1 facts

    Higgsfield AI launches Higgsfield Academy

    Higgsfield AI announced the launch of Higgsfield Academy. A report published on October 17, 2026, said the Academy is described as the only AI course needed to start creating in 2026, covering everything from writing your first prompt to directing your own AI film, with no experience required, and is now live on Higgsfield. Another report the same day said Higgsfield Academy has officially launched, promoted with a video titled "handing Higgsfield to a monkey." There are currently no subsequent developments.

    Higgsfield AI announced the launch of Higgsfield Academy. A report published on October 17, 2026, said the Academy is described as the only AI course needed to start creating in 2026, covering everything from writing your first prompt to directing your own AI film, with no experience required, and is now live on Higgsfield. Another report the same day said Higgsfield Academy has officially launched, promoted with a video titled "handing Higgsfield to a monkey." There are currently no subsequent

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  2. Story3 reports · 1 facts

    Elorian releases its first AI model, Glimpse

    On October 17, 2026, Elorian released its first AI model, Glimpse. According to Testing Catalog, Glimpse can, during its thinking process, return to a specific point in a video, zoom in on details, or replay half a second of video at a higher frame rate before answering. Elorian's own testing shows that Glimpse outperforms GPT-6 Astra in reading scientific charts and describing short videos; in a simulated task of planning for a robotic arm to place cream cheese into a bowl, Glimpse cost $0.035, compared with $0.249 for GPT-6 Astra; in a demonstration, Glimpse solved 5 mazes of increasing difficulty, while Gemini 3.8 Flash solved 1/5. Another report the same day said that Elorian positions Glimpse as the first visual reasoning model, used to compare scene changes at different points in a video, and calls this frame-based reasoning visual thinking; during its reasoning process it can return to the source video, crop regions, extract specified frames, or run code to measure and compare what it sees, a mechanism called visual scratch space; co-founder Andrew M. Dai said it has frontier performance competitive with Astra on key public visual reasoning benchmarks. At present, there have been no further evidence-supported developments since the model's release.

    On October 17, 2026, Elorian released its first AI model, Glimpse. According to Testing Catalog, Glimpse can, during its thinking process, return to a specific point in a video, zoom in on details, or replay half a second of video at a higher frame rate before answering. Elorian's own testing shows that Glimpse outperforms GPT-6 Astra in reading scientific charts and describing short videos; in a simulated task of planning for a robotic arm to place cream cheese into a bowl, Glimpse cost $0.035,

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