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Wednesday

  1. Huxiu

    Three major Chinese tech companies order over 3 million NVIDIA RTX PRO 5500 cards, with order value exceeding $35 billion

    According to Reuters, three major Chinese internet companies have collectively ordered more than 3 million NVIDIA RTX PRO 5500 workstation graphics cards. At a list price of about $11,400, the potential value exceeds $35 billion. NVIDIA has told partners that global production of the card in 2027 may not exceed 3 million units, and actual deliveries may be only 5% to 10%. The card uses the same GB202 chip as the RTX 5090, with memory increased from 32GB to 84GB, bandwidth reduced from about 1792GB/s to 1398GB/s, and support for MIG partitioning; it is mainly aimed at AI inference. Total orders from Chinese customers have exceeded 6 million units. The major companies placed orders early to secure priority supply given limited GB202 production capacity.

    According to Reuters, three major Chinese internet companies have collectively ordered more than 3 million NVIDIA RTX PRO 5500 workstation graphics cards. At a list price of about $11,400, the potential value exceeds $35 billion. NVIDIA has told partners that global production of the card in 2027 may not exceed 3 million units, and actual deliveries may be only 5% to 10%. The card uses the same GB202 chip as the RTX 5090, with memory increased from 32GB to 84GB, bandwidth reduced from about 1792

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  2. Titanium Media · AGISelected

    MiniMax Releases M3.1 Flash, Tested Frontend Coding Capabilities

    MiniMax claimed the anonymous model Space Bunny on October 19 and officially released M3.1 Flash, which uses a sparse attention architecture with 428B total parameters and about 23B activated, nearly 3x faster inference, 70% lower usage cost, and pricing of 1 yuan per million input tokens, 4 yuan for output, and 0.1 yuan for cache reads. Model weights will be open-sourced on October 23, and the official announcement previews a Pro version with a higher intelligence ceiling coming soon. The author replaced the community-viral cases with four new questions of the same type for retesting, and believes its frontend Coding capabilities improved noticeably while retaining the self-verification behavior of proactively opening a browser to trial and error.

    MiniMax claimed the anonymous model Space Bunny on October 19 and officially released M3.1 Flash, which uses a sparse attention architecture with 428B total parameters and about 23B activated, nearly 3x faster inference, 70% lower usage cost, and pricing of 1 yuan per million input tokens, 4 yuan for output, and 0.1 yuan for cache reads. Model weights will be open-sourced on October 23, and the official announcement previews a Pro version with a higher intelligence ceiling coming soon. The autho

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  3. 36Kr · AISelected

    OpenAI advances roughly $30 billion funding round, aiming to lock in investors ahead of Anthropic's IPO

    According to Reuters, OpenAI is accelerating a roughly $30 billion funding round, targeting a valuation above $1.4 trillion, seeking to lock in investors before Anthropic's expected mid-November IPO; existing investors including SoftBank and Abu Dhabi's MGX are in talks to participate. OpenAI told investors that growth accelerated after the release of GPT-6 Astra, with annualized revenue already at $50 billion and expected to rise to $70 billion by year-end; Anthropic said its third-quarter revenue rose from $11.6 billion to $16.8 billion, but slowing month-over-month growth has raised valuation concerns. The two also differ on revenue recognition: OpenAI recognizes revenue on a net basis and has accused Anthropic of recognizing revenue on a gross basis under third-party cloud vendor contracts.

    According to Reuters, OpenAI is accelerating a roughly $30 billion funding round, targeting a valuation above $1.4 trillion, seeking to lock in investors before Anthropic's expected mid-November IPO; existing investors including SoftBank and Abu Dhabi's MGX are in talks to participate. OpenAI told investors that growth accelerated after the release of GPT-6 Astra, with annualized revenue already at $50 billion and expected to rise to $70 billion by year-end; Anthropic said its third-quarter reve

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  4. Fortune AI

    Idealab founder Bill Gross opens free access to 1.2 million AI-generated business ideas

    Idealab founder and CEO Bill Gross has launched idealab.ai, offering free access to 1.2 million AI-generated business ideas. These ideas were generated by combining 31 ideation methodologies with roughly 17 million source documents, including news articles, research reports, expired patents, public company filings, and community discussions. Users can search by industry, skill, interest, and region, and can also upload a résumé or LinkedIn profile to receive personalized ideas. Gross believes the surge in entrepreneurship brought about by AI can partially offset its impact on employment.

    Idealab founder and CEO Bill Gross has launched idealab.ai, offering free access to 1.2 million AI-generated business ideas. These ideas were generated by combining 31 ideation methodologies with roughly 17 million source documents, including news articles, research reports, expired patents, public company filings, and community discussions. Users can search by industry, skill, interest, and region, and can also upload a résumé or LinkedIn profile to receive personalized ideas. Gross believes th

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  5. The New Stack

    Evaluate the entire inference stack, not just open-source model benchmarks

    Ryan Hanrui Wang, Senior Vice President of Applied AI at Nebius, points out that public benchmarks only reflect a model's best-case performance and cannot show whether agents can accurately complete tasks in production environments; therefore, the entire inference stack should be evaluated using internal benchmarks and harnesses. Nebius acquired inference optimization startup Eigen AI for approximately $643 million and provides inference services through its Token Factory platform. He recommends using a large model as a reference to scan multiple models and find the scale sweet spot; for example, 10B parameters may already be sufficient for customer service tasks, while 100B or even 1T parameters bring only marginal accuracy gains.

    Ryan Hanrui Wang, Senior Vice President of Applied AI at Nebius, points out that public benchmarks only reflect a model's best-case performance and cannot show whether agents can accurately complete tasks in production environments; therefore, the entire inference stack should be evaluated using internal benchmarks and harnesses. Nebius acquired inference optimization startup Eigen AI for approximately $643 million and provides inference services through its Token Factory platform. He recommends

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  6. SiliconANGLE

    Blackwall Raises $100M Series C at a $2.2B Valuation to Expand Its Network Traffic Optimization and Management Platform

    Estonian cybersecurity and network traffic management company Blackwall has raised a $100 million Series C at a $2.2 billion valuation, led by AVP, with participation from Dawn Capital, MMC Ventures, and Tera Ventures. Its flagship product, GateKeeper, filters malicious bots, application-layer DDoS attacks, and brute-force login attempts before traffic reaches customer applications, and also offers firewalls, load balancing, and optimization tools that distinguish legitimate traffic from AI traffic. The company was formerly named BotGuard and rebranded as Blackwall in March 2025 alongside its Series B funding; the new funds will be used for global expansion and deepening the platform.

    Estonian cybersecurity and network traffic management company Blackwall has raised a $100 million Series C at a $2.2 billion valuation, led by AVP, with participation from Dawn Capital, MMC Ventures, and Tera Ventures. Its flagship product, GateKeeper, filters malicious bots, application-layer DDoS attacks, and brute-force login attempts before traffic reaches customer applications, and also offers firewalls, load balancing, and optimization tools that distinguish legitimate traffic from AI traf

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Tuesday

  1. QbitAI

    MiniMax Releases M3.1 Flash Model, ALE Score of 29.6% Ranks First Among Domestic Models

    MiniMax officially released M3.1 Flash, formerly known as Space Bunny (Yutu), which previously topped the charts anonymously on OpenRouter. The model scores 29.6% on Agents' Last Exam, ranking first among domestic models, and scores 43 on the AA leaderboard; it achieves 73.7% on DeepSWE v1.1, 82.2 points on CyberGym, 76.2 points on BankerToolBench, tying for first with Claude Opus 5, and 61.7 points on OSWorld V2. The model adopts a sparse attention architecture, with output speeds of up to 200+ TPS and a median of 170+ TPS, input at 1 yuan per million tokens, output at 4 yuan, and cache reads at 0.1 yuan, with comprehensive usage costs reduced by 70% compared to the previous generation M3.

    MiniMax officially released M3.1 Flash, formerly known as Space Bunny (Yutu), which previously topped the charts anonymously on OpenRouter. The model scores 29.6% on Agents' Last Exam, ranking first among domestic models, and scores 43 on the AA leaderboard; it achieves 73.7% on DeepSWE v1.1, 82.2 points on CyberGym, 76.2 points on BankerToolBench, tying for first with Claude Opus 5, and 61.7 points on OSWorld V2. The model adopts a sparse attention architecture, with output speeds of up to 200+

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