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Wednesday

  1. Cohere Product and Research Blog

    Cohere Model Vault Launches Third-Party Open Models, Supporting DeepSeek V4.1…

    Cohere has launched third-party open models in Model Vault and Model Vault Encrypted, allowing enterprises to run both Cohere's own models and open models such as DeepSeek V4.1 Flash, GLM 5.3 Flash, Gemma 4, GPT-OSS, and Phi on a fully managed encrypted inference platform. Model Vault applies zero data retention to prompts and outputs by default, while the Encrypted version uses confidential computing so that neither Cohere nor cloud providers can see the data. Model Vault is now available in the United States, the European Union, and Canada; the Encrypted version is currently limited to the United States, with support for the European Union and Canada coming soon.

    An abstract image with words overlayed reading "World's leading open models, under your control. Available in Model Vault"

    Cohere has launched third-party open models in Model Vault and Model Vault Encrypted, allowing enterprises to run both Cohere's own models and open models such as DeepSeek V4.1 Flash, GLM 5.3 Flash, Gemma 4, GPT-OSS, and Phi on a fully managed encrypted inference platform. Model Vault applies zero data retention to prompts and outputs by default, while the Encrypted version uses confidential computing so that neither Cohere nor cloud providers can see the data. Model Vault is now available in th

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  2. AWS Machine Learning

    How Cartesia built an ultra-low-latency voice AI application on AWS

    AWS partner Cartesia provides voice models on AWS based on State Space Models (SSMs) with first-byte latency under 100ms: Sonic text-to-speech produces its first audio in about 90ms, supports more than 44 languages and voice cloning from 10-second audio samples, and Ink speech-to-text supports native turn detection and streaming transcription. SSMs achieve native streaming inference through fixed-size hidden states and token-by-token processing, avoiding the latency that comes from Transformers processing an entire sequence.

    AWS Marketplace search results listing the Cartesia Sonic 3.6 SageMaker model package

    AWS partner Cartesia provides voice models on AWS based on State Space Models (SSMs) with first-byte latency under 100ms: Sonic text-to-speech produces its first audio in about 90ms, supports more than 44 languages and voice cloning from 10-second audio samples, and Ink speech-to-text supports native turn detection and streaming transcription. SSMs achieve native streaming inference through fixed-size hidden states and token-by-token processing, avoiding the latency that comes from Transformers

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Tuesday

  1. Sarvam AI Blog

    Sarvam AI Releases Sarvam Prism, a Decision Model Based on Sarvam 105B

    Sarvam AI has released Sarvam Prism, a System One decision model based on Sarvam 105B, which achieves an average score of 71.8 with a median response time of 44 ms on B200 GPUs, the highest score within 100 ms among the 25 decision models it tested. At confidence levels above 90%, the model's actual error rate is lower than expected: 2.2% versus 3.3% for English and 4.4% versus 5.4% for Indic languages, and it keeps its answers unchanged in a 2,000-question option-shuffling test. The weights are open-sourced under the Apache 2.0 license on Hugging Face, requiring at least 120 GB of VRAM on a single GPU to run in FP8, and it is also available via the Sarvam API.

    Introducing Sarvam Prism

    Sarvam AI has released Sarvam Prism, a System One decision model based on Sarvam 105B, which achieves an average score of 71.8 with a median response time of 44 ms on B200 GPUs, the highest score within 100 ms among the 25 decision models it tested. At confidence levels above 90%, the model's actual error rate is lower than expected: 2.2% versus 3.3% for English and 4.4% versus 5.4% for Indic languages, and it keeps its answers unchanged in a 2,000-question option-shuffling test. The weights are

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  2. Yicai

    Is AI Financing About to Hit a Minsky Moment?

    Li Wei, a professor at Cheung Kong Graduate School of Business, analyzes AI infrastructure financing risks, noting that Anthropic finalized approximately $42 billion in syndicated loans and about $18 billion in subordinated debt through the "Project Polaris," with Broadcom providing a guarantee and Blackstone contributing half of the funding. The article also uses Meta's Hyperion data center as an example, explaining that it moved $27 billion in debt off its balance sheet through an SPV, with a debt-to-asset ratio of about 90%, higher than Meta's own ratio of about 43%. The author believes there is insufficient evidence to assert that a Minsky moment is imminent, but signs such as rising issuance of junk-rated data center bonds and falling prices of some bonds are worth watching.

    Li Wei, a professor at Cheung Kong Graduate School of Business, analyzes AI infrastructure financing risks, noting that Anthropic finalized approximately $42 billion in syndicated loans and about $18 billion in subordinated debt through the "Project Polaris," with Broadcom providing a guarantee and Blackstone contributing half of the funding. The article also uses Meta's Hyperion data center as an example, explaining that it moved $27 billion in debt off its balance sheet through an SPV, with a

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  3. AWS Machine LearningSelected

    Building Efficient Agents with Knowledge Distillation on Amazon SageMaker AI

    An AWS official blog post explains how to fine-tune a shopping agent on Amazon SageMaker AI using sequence-level knowledge distillation (SeqKD): using GLM-5.3 on Amazon Bedrock as the teacher model to generate trajectories, using the ShoppingBench scorer to retain only trajectories that solve the task, and then performing serverless SFT on the Qwen3.5-4B student model. On 324 held-out test questions, the distilled 4B student's average absolute success rate increased from 0.297 to 0.541, essentially on par with the teacher model and mid-sized frontier models; when the teacher's reasoning process was removed and only tool calls were learned, the average success rate dropped to 0.415.

    Diagram of an agentic task as a loop: search, read results, refine, verify, and decide, with each step a separate billed call to the frontier model

    An AWS official blog post explains how to fine-tune a shopping agent on Amazon SageMaker AI using sequence-level knowledge distillation (SeqKD): using GLM-5.3 on Amazon Bedrock as the teacher model to generate trajectories, using the ShoppingBench scorer to retain only trajectories that solve the task, and then performing serverless SFT on the Qwen3.5-4B student model. On 324 held-out test questions, the distilled 4B student's average absolute success rate increased from 0.297 to 0.541, essentia

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Monday

  1. LMSYS Blog

    LMSYS explains in detail how HiCache adapts to multi-parallelism and distributed inference

    The LMSYS blog introduces how HiCache is implemented in context parallelism, pipeline parallelism, speculative decoding, unified KV layout, and P/D disaggregation scenarios, with the core being to keep cache decisions consistent across ranks. The iFlytek Spark MaaS team used HiCache plus external storage to serve GLM-5.1/5.2 CodingPlan workloads, raising the cache hit rate from about 30% to 95% and reducing median TTFT to under 3 seconds. In CP sharding tests, the GPU token hit rate increased by 40.48 percentage points, the host memory serving token volume dropped by 81.2%, and the average prefill queueing time decreased by 56.2%.

    A logical radix tree shared by two CP ranks: logical page IDs map to rank 0 or rank 1 by q mod 2, and extending the A/B/C prefix allocates page D on rank 1.

    The LMSYS blog introduces how HiCache is implemented in context parallelism, pipeline parallelism, speculative decoding, unified KV layout, and P/D disaggregation scenarios, with the core being to keep cache decisions consistent across ranks. The iFlytek Spark MaaS team used HiCache plus external storage to serve GLM-5.1/5.2 CodingPlan workloads, raising the cache hit rate from about 30% to 95% and reducing median TTFT to under 3 seconds. In CP sharding tests, the GPU token hit rate increased by

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Friday

  1. Latent Space

    Latent Space announces AIE CODE coding agent conference curation themes

    Latent Space host swyx introduces the curation approach for the annual flagship conference AIE CODE, which is single-track, invitation-only, and aimed at about 1,000 agent engineers. This year's three themes are Scaling without Slop, System One models, and Increasing Ambition, among which Jarred Sumner will share Bun's rewrite in Rust and a Bun AOT preview. The article also rounds up that day's AI news, including Mistral's open-weight release and OpenAI's frontier model monitoring.

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  2. MarkTechPost

    Edge0 Releases Audio8-TTS-Realistic: A 0.6B Open-Source Voice Cloning TTS Model

    Edge0 has released the open-weight voice cloning TTS model Audio8-TTS-Realistic, with 601M parameters, supporting 23 languages, with weights and code released under Apache 2.0. The model requires only 1 reference audio clip and its corresponding text for zero-shot voice cloning, and can also directly generate speech when no reference voice is available. Self-reported results show an average error rate of 4.86% on the CV3 nine-language benchmark, lower than Qwen3-TTS-1.7B's 7.73%, but it lags behind 4B-class models on the MiniMax benchmark, with Thai WER reaching 48.57%.

    Edge0 has released the open-weight voice cloning TTS model Audio8-TTS-Realistic, with 601M parameters, supporting 23 languages, with weights and code released under Apache 2.0. The model requires only 1 reference audio clip and its corresponding text for zero-shot voice cloning, and can also directly generate speech when no reference voice is available. Self-reported results show an average error rate of 4.86% on the CV3 nine-language benchmark, lower than Qwen3-TTS-1.7B's 7.73%, but it lags beh

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  3. TMTPost · AGI

    Edge AI Daily Morning Brief (October 30): Intel Plunges 21%, Anthropic…

    Intel reported third-quarter 2026 revenue of $16.5 billion and earnings per share of 52 cents, beating expectations, but its fourth-quarter revenue guidance of $15 billion to $16 billion fell short of the market's expectation of about $17.1 billion, and its gross margin guidance dropped from 43% to 38%; its stock price plunged about 21% in after-hours trading on October 29. Anthropic filed for a Nasdaq IPO on October 26 (ticker ANT), with revenue of $16.286 billion in the first half of 2026, up about 1,300% year over year, and second-quarter operating profit of $974 million. The U.S. Department of Justice has opened inquiries into whether Nvidia's acquisition of Hugging Face for about $12.93 billion affects AI competition.

    ut $17.1 billion, and its gross margin guidance dropped from 43% to 38%; its stock price plunged about 21% in after-hours trading on October 29. Anthropic filed for a Nasdaq IPO on October 26 (ticker ANT), with revenue of $16.286 billion in the first half of 2026, up about 1,300% year over year, and second-quarter operating profit of $974 million. The U.S. Department of Justice has opened inquiries into whether Nvidia's acquisition of Hugging Face for about $12.93 billion affects AI competition.

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  4. Unite.AI

    Cohere Completes First Close of Series E, Targeting Up to C$7 Billion in Funding at a C$35.7 Billion Valuation

    On October 29, 2026, Cohere announced the first close of its Series E financing, targeting up to C$7 billion in funding at a corresponding valuation of C$35.7 billion, led by a company under Schwarz Group, with Bell Ventures, Bullhound Capital, and the Government of Canada joining as new investors. Cohere said this is the largest private financing for a Canadian tech company, and the funds will be used to advance its model and product roadmap, verticalized AI solutions for regulated industries, and long-term compute infrastructure. The company also disclosed that as of Q3 2026, its annual recurring revenue grew 165% year-over-year, with global customers increasing to 300.

    On October 29, 2026, Cohere announced the first close of its Series E financing, targeting up to C$7 billion in funding at a corresponding valuation of C$35.7 billion, led by a company under Schwarz Group, with Bell Ventures, Bullhound Capital, and the Government of Canada joining as new investors. Cohere said this is the largest private financing for a Canadian tech company, and the funds will be used to advance its model and product roadmap, verticalized AI solutions for regulated industries,

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  5. SiliconANGLE

    Vast and Cloudera Join Forces to Build a Unified Data Foundation for Enterprise AI

    Vast Data and Cloudera announced a partnership at EVOLVE26 to help enterprises build AI factories on a unified data foundation. The Vast platform lets applications access the same files through different storage protocols, reducing data copies and preventing expensive GPUs from waiting on data; Cloudera, meanwhile, is expanding its AI ecosystem and simplifying deployment through Anywhere Cloud data services and joint engineering blueprints.

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  6. SiliconANGLE

    Fortinet turns FortiGate firewall coverage into an AI security entry point, launching FortiGuard…

    Fortinet has released the FortiGuard Inline AI Security Service, which through a cloud subscription enables FortiGate firewalls to inspect prompts, model responses, and MCP tool traffic in real time; the underlying engine is FortiAIGate, which integrates Virtue AI technology. The service can detect 35 categories of personally identifiable information and confidential data and supports alerting, blocking, or redaction, and also supports setting model permissions, budgets, and rate limits by organization, workspace, project, or user.

    Fortinet has released the FortiGuard Inline AI Security Service, which through a cloud subscription enables FortiGate firewalls to inspect prompts, model responses, and MCP tool traffic in real time; the underlying engine is FortiAIGate, which integrates Virtue AI technology. The service can detect 35 categories of personally identifiable information and confidential data and supports alerting, blocking, or redaction, and also supports setting model permissions, budgets, and rate limits by organ

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Wednesday

  1. Testing Catalog

    October 28 AI Daily Brief: Genie 4 and MAI-Image-2.7 Released

    Google DeepMind released the interactive world model Genie 4, which supports natural language control and native audio. It is first being opened to Trusted Testers, with later integration into Google AI Ultra and the Gemini API. Microsoft AI launched the image editing model MAI-Image-2.7-Preview, ranking 3rd on Arena Edit and 2nd on AA-Image-Editing. Liquid AI open-sourced the LFM3 series of six 2B-class text, vision, audio, and omni-modal models, using a triple-hybrid architecture.

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Thursday

  1. The Next Platform

    Intel acquires Classiq for $2.3 billion, betting on quantum computing commercialization

    Intel announced the acquisition of Israeli quantum software company Classiq for $2.3 billion, with the deal expected to close in the second half of next year. Classiq's platform uses AI natural language models and a Python-like language to help developers build quantum algorithms and applications, and already has more than 40 enterprise customers, including Comcast, AT&T, BMW, and Oak Ridge National Laboratory. Intel CTO Pushkar Ranade said the move will turn its 10-year-old quantum R&D team into a real quantum computing business, making Intel a full-stack quantum company able to compete with IBM and Google.

    Intel announced the acquisition of Israeli quantum software company Classiq for $2.3 billion, with the deal expected to close in the second half of next year. Classiq's platform uses AI natural language models and a Python-like language to help developers build quantum algorithms and applications, and already has more than 40 enterprise customers, including Comcast, AT&T, BMW, and Oak Ridge National Laboratory. Intel CTO Pushkar Ranade said the move will turn its 10-year-old quantum R&D team int

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  2. Analytics India Magazine

    The economics of continuous inference: from cost per token to cost per task

    AI inference is shifting from a one-off computational event to a continuous production workload, whose cost depends on traffic patterns, latency targets, model size, context length, and concurrency. The Stanford 2025 AI Index shows that the query price for GPT-3.5-level performance on MMLU fell from $20 per million tokens in November 2022 to $0.07 per million tokens for Gemini 1.5 Flash-8B in October 2024, a decline of more than 280x in about 18 months. But reasoning models and agents generate more tokens, call models multiple times, and occupy accelerator memory for extended periods, increasingly separating cost per token from cost per completed task; production environments should measure cost per successful task at an agreed service level.

    AI inference is shifting from a one-off computational event to a continuous production workload, whose cost depends on traffic patterns, latency targets, model size, context length, and concurrency. The Stanford 2025 AI Index shows that the query price for GPT-3.5-level performance on MMLU fell from $20 per million tokens in November 2022 to $0.07 per million tokens for Gemini 1.5 Flash-8B in October 2024, a decline of more than 280x in about 18 months. But reasoning models and agents generate m

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  3. Semiconductor Industry Observer

    Yole Report: AI Is Splitting the PCB Industry into Two Paths: High Growth and Stagnation

    A Yole Group report shows that in 2025 the global PCB industry's revenue was about US$88 billion, with an overall compound annual growth rate of 8.1%, but the AI-related segment's compound annual growth rate reached 45%–70%, while general-purpose boards were nearly stagnant. By 2031, circuit boards with 18 or more layers will grow at an annual rate of 15.7%, while 4–6 layer boards will grow at only 2.3%; servers and data centers' share of PCB demand has already risen from 16% in 2020 to 25%. Copper-clad laminates iterate one generation every 18–24 months; the Vera Rubin platform uses M8 laminate, and the unit price of M9 reaches four times that of M7.

    A Yole Group report shows that in 2025 the global PCB industry's revenue was about US$88 billion, with an overall compound annual growth rate of 8.1%, but the AI-related segment's compound annual growth rate reached 45%–70%, while general-purpose boards were nearly stagnant. By 2031, circuit boards with 18 or more layers will grow at an annual rate of 15.7%, while 4–6 layer boards will grow at only 2.3%; servers and data centers' share of PCB demand has already risen from 16% in 2020 to 25%. Cop

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  4. The New Stack

    Mistral Open-Sources Mistral Large 4 Weights, Leading GLM-5.3 by 1 Point on Coding Benchmark

    Mistral released the weights of its frontier open-source model Mistral Large 4 (ML4) on Hugging Face on Thursday; the model had only been available in preview three weeks earlier. Mistral calls ML4 "the world's best open-source agentic coding model," scoring 41% on Terminal-Bench 4.0, slightly above GLM-5.3's 40%, and says it uses an average of 47% fewer tokens per task than GLM-5.3; it scored 79% on the CyberGym E2E defensive cybersecurity test, compared with 29% for GLM-5.3. Mistral Vice President of Science Pierre Stock called ML4 merely a "stepping stone" and confirmed that smaller versions will be released in the coming months, one of which can run on a laptop.

    Mistral released the weights of its frontier open-source model Mistral Large 4 (ML4) on Hugging Face on Thursday; the model had only been available in preview three weeks earlier. Mistral calls ML4 "the world's best open-source agentic coding model," scoring 41% on Terminal-Bench 4.0, slightly above GLM-5.3's 40%, and says it uses an average of 47% fewer tokens per task than GLM-5.3; it scored 79% on the CyberGym E2E defensive cybersecurity test, compared with 29% for GLM-5.3. Mistral Vice Presi

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  5. SiliconANGLE

    ServiceNow's Q3 results were mixed, with shares falling 18% after hours

    ServiceNow's Q3 revenue grew 20.5% year-over-year to $4.11 billion, beating market expectations by $20 million, but adjusted earnings per share of $1 fell short of analysts' expected $1.02, and shares fell 18% after hours. Net new ACV from AI products grew 65% year-over-year, and the company raised its full-year AI ACV forecast to $1.7 billion, up 70% from January. Q4 revenue guidance is $4.25 billion to $4.26 billion, still below analysts' expected $4.36 billion.

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  6. AI Business

    Nvidia Invests $3 Billion in Meta's Muse Agent and Reaches Partnership

    Nvidia has invested $3 billion in Meta's Muse agent and the Muse series models, and the two sides announced that the Muse models (Wonder and Wonder Full) and the agent will run on Nvidia infrastructure. Meta plans to expand its deployment of Nvidia hardware, including using Vera Rubin and Vera CPU for next-generation AI agents, and the two sides are also exploring using Nvidia's OpenShell reference architecture for agent security. Meta's consumer-grade Muse agent has reached 10.9 million downloads and 2.5 million daily active users since its launch on September 8, but it has not yet become a profit engine.

    Nvidia has invested $3 billion in Meta's Muse agent and the Muse series models, and the two sides announced that the Muse models (Wonder and Wonder Full) and the agent will run on Nvidia infrastructure. Meta plans to expand its deployment of Nvidia hardware, including using Vera Rubin and Vera CPU for next-generation AI agents, and the two sides are also exploring using Nvidia's OpenShell reference architecture for agent security. Meta's consumer-grade Muse agent has reached 10.9 million downloa

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  7. Tech.eu

    Nexus Luxembourg will return in March 2027, with sovereignty topping the agenda

    Nexus Luxembourg will take place on March 9–10, 2027, at Luxexpo The Box, under the theme "Building AI, Sovereignty & Growth." The previous summit in June 2026 attracted more than 9,600 attendees from over 80 countries, with more than 400 speakers across 5 stages. The Startups & Scaleups Awards will select around 240 companies to pitch on site, with a grand prize worth more than €125,000; registration closes on November 16, 2026.

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