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Friday

  1. TechCrunch AISelected

    Mistral Releases Weights for Trillion-Parameter Open Model Mistral Large 4, Focused on Cybersecurity

    Mistral has released the weights for its trillion-parameter open-source model Mistral Large 4 (ML4, nicknamed Le Chonk), which enterprises and government agencies can download and deploy themselves; the weights are already available on Hugging Face and via its API. Mistral says the model's performance is comparable to that of the open-source model GLM-5.3, but it consumes 47% fewer tokens per task, and it ranks first among open-source models on Artificial Analysis's Coding Agent Index. Pierre Stock, Mistral's Vice President of Science, said that open weights mean organizations can deploy locally in their own environments to identify, coordinate, and respond to major security incidents in real time.

    Mistral has released the weights for its trillion-parameter open-source model Mistral Large 4 (ML4, nicknamed Le Chonk), which enterprises and government agencies can download and deploy themselves; the weights are already available on Hugging Face and via its API. Mistral says the model's performance is comparable to that of the open-source model GLM-5.3, but it consumes 47% fewer tokens per task, and it ranks first among open-source models on Artificial Analysis's Coding Agent Index. Pierre St

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  2. TechCrunch AI

    Granola launches dictation feature, competing head-on with Wispr

    Granola, known for its meeting notes tool, has launched a dictation feature: users press the Fn key on a Mac to speak, and the tool automatically cleans up and formats the speech and outputs the final text, which can be pasted into any app. The feature is free with no word limit, and iOS and Windows versions are coming soon. Granola and Wispr are valued at $1.5 billion and $2 billion respectively, with the latter having previously expanded from a dictation tool into meeting notes.

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  3. TechCrunch AI

    OpenAI-backed Thrive Holdings to acquire ADT for about $7.6 billion in equity

    OpenAI-backed Thrive Holdings is acquiring physical security company ADT for $10 per share, about $7.6 billion in equity, in a deal with a total enterprise value of $15.3 billion. ADT will become the foundation of Thrive Holdings' smart home security business, with OpenAI as a partner providing AI models, technology and forward-deployed engineers. Thrive Holdings currently holds more than 75 companies.

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  4. TechCrunch AI

    Rivian Expands Joint Venture with Volkswagen to Include AI Assistant

    Rivian is licensing some elements of its AI voice assistant technology to the Volkswagen Group as part of their $5.8 billion joint venture. The assistant launched on the R1S and R1T in May 2026 and on the R2 in October, and may first appear in Volkswagen's low-cost EV, the ID EVERY1. Rivian did not disclose the licensing fee or specific vehicle models, saying only that this demonstrates the scalability of its in-house platform.

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  5. TechCrunch AI

    Jassy Says AWS Will Become a Trillion-Dollar Business, with About $220 Billion in Capital Expenditure in 2026

    Amazon CEO Andy Jassy reiterated on the quarterly earnings call that AWS is expected to become a business with $1 trillion in annual revenue in the next 5 to 10 years, and he expects growth rates to exceed 40% in both 2027 and 2028. He said cash capital expenditure in 2026 will be about $220 billion, most of it going to AWS, and will increase significantly further in 2027; AWS revenue grew 39% year over year this quarter, with an annualized revenue scale of $184 billion. After the earnings release, Amazon's stock fell about 6% in after-hours trading.

    Amazon CEO Andy Jassy reiterated on the quarterly earnings call that AWS is expected to become a business with $1 trillion in annual revenue in the next 5 to 10 years, and he expects growth rates to exceed 40% in both 2027 and 2028. He said cash capital expenditure in 2026 will be about $220 billion, most of it going to AWS, and will increase significantly further in 2027; AWS revenue grew 39% year over year this quarter, with an annualized revenue scale of $184 billion. After the earnings relea

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  6. TechCrunch AI

    A non-theistic humanist at the University of Kentucky in the United States has obtained a religious exemption allowing them not to use AI at work

    David Durman, a University of Kentucky administrator and non-theistic humanist, has obtained a workplace religious exemption through the American Humanist Association (AHA) allowing him not to use AI at work, becoming the first humanist to receive such an accommodation. He believes that over-reliance on AI weakens people's critical thinking, and cited reasons including AI's impact on livelihoods, environmental costs, and the erosion of human creativity. The University of Kentucky said it reviews religious accommodation requests on a case-by-case basis, and that this determination allows an exemption to be provided without affecting his core duties.

    David Durman, a University of Kentucky administrator and non-theistic humanist, has obtained a workplace religious exemption through the American Humanist Association (AHA) allowing him not to use AI at work, becoming the first humanist to receive such an accommodation. He believes that over-reliance on AI weakens people's critical thinking, and cited reasons including AI's impact on livelihoods, environmental costs, and the erosion of human creativity. The University of Kentucky said it reviews

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  7. AWS Machine Learning

    How MoEngage Used AgentCore Gateway to Turn Over 400 APIs into Agent Tools

    Using Amazon Bedrock AgentCore Gateway, MoEngage converted approximately 400 internal REST APIs distributed across private VPCs in 7 AWS Regions into permission-controlled agent tools, saving about 6 months of platform engineering effort and reducing new API onboarding from several days to a few hours. The solution requires no MCP server code from product teams, no per-integration network configuration, and involves no public endpoints anywhere in the path. MoEngage also established a principle: engineering teams only maintain OpenAPI specs, while the AI platform team is solely responsible for the MCP layer.

    AgentCore Gateway architecture: agent services reach the gateway through a private VPC interface endpoint, which evaluates Cedar policies and routes calls over Amazon VPC Lattice to internal APIs

    Using Amazon Bedrock AgentCore Gateway, MoEngage converted approximately 400 internal REST APIs distributed across private VPCs in 7 AWS Regions into permission-controlled agent tools, saving about 6 months of platform engineering effort and reducing new API onboarding from several days to a few hours. The solution requires no MCP server code from product teams, no per-integration network configuration, and involves no public endpoints anywhere in the path. MoEngage also established a principle:

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  8. AWS Machine Learning

    Building a Repeatable PHP-to-Java Migration Engine with Kiro

    AWS describes building a repeatable PHP-to-Java migration engine with Kiro: the migration methodology and discovery scanner are encapsulated as skill files, using an eight-phase process and a parity harness to verify that the Java port behaves consistently with the original PHP application. The same set of skill files can be used for interactive, application-by-application migration in Kiro, or handed to AWS Transform to run as parallel tasks at portfolio scale. Running requires PHP 8.0 or later, and the generated Spring Boot project requires Java 21 and Maven.

    Workspace architecture: one shared brain, many projects. Diagram of the workspace layout. At the top is the Kiro workspace root, PHP-Java-Migration. Below it, a shared, global layer under .kiro/ holds the skills (the methodology) and the steering file (the governing workflow), and applies to every project. Beneath that, three per-project folders each hold their own spec sub-folder, and the diagram notes that improving the shared layer once benefits every project.

    AWS describes building a repeatable PHP-to-Java migration engine with Kiro: the migration methodology and discovery scanner are encapsulated as skill files, using an eight-phase process and a parity harness to verify that the Java port behaves consistently with the original PHP application. The same set of skill files can be used for interactive, application-by-application migration in Kiro, or handed to AWS Transform to run as parallel tasks at portfolio scale. Running requires PHP 8.0 or later

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  9. AWS Machine Learning

    Epsilon Builds Intent-Driven UI Testing with Amazon Nova Act

    Epsilon's Agentic Platform team used Amazon Nova Act together with Amazon Bedrock AgentCore Browser to turn intent-driven UI testing into a multi-tenant platform service layered on top of its existing Playwright regression suite. Test steps are written in natural language, executed by Nova Act over a CDP WebSocket, with per-step screenshots and pass-rate statistics, and results stored in Amazon S3. The solution provides managed temporary browser sessions, AWS IAM-based authentication, and cross-account AssumeRole isolation, and the article also presents an 18-step test workflow.

    Epsilon UI Testing Service architecture with user, authentication, API, execution runner, and Amazon S3 storage layers

    Epsilon's Agentic Platform team used Amazon Nova Act together with Amazon Bedrock AgentCore Browser to turn intent-driven UI testing into a multi-tenant platform service layered on top of its existing Playwright regression suite. Test steps are written in natural language, executed by Nova Act over a CDP WebSocket, with per-step screenshots and pass-rate statistics, and results stored in Amazon S3. The solution provides managed temporary browser sessions, AWS IAM-based authentication, and cross-

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  10. AWS Machine Learning

    How the UK Amazon Quick User Group Grew in 2026

    The UK Amazon Quick User Group held three quarterly meetups in 2026, drawing more than 150 attendees in total. The events took place at Amazon's UK office in Shoreditch, London, where attendees built custom chat agents with Amazon Quick, tried out Amazon Quick Desktop and Amazon Quick Apps, and practiced automation and research through Quick Flows, Quick Automate, and Quick Research. Customers such as Arriva UK Trains and Carsa shared their experiences implementing role-based dashboards and a unified governed data layer.

    Attendees at a UK Amazon Quick User Group meetup in Shoreditch, London

    The UK Amazon Quick User Group held three quarterly meetups in 2026, drawing more than 150 attendees in total. The events took place at Amazon's UK office in Shoreditch, London, where attendees built custom chat agents with Amazon Quick, tried out Amazon Quick Desktop and Amazon Quick Apps, and practiced automation and research through Quick Flows, Quick Automate, and Quick Research. Customers such as Arriva UK Trains and Carsa shared their experiences implementing role-based dashboards and a un

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  11. cnBeta

    Google releases Gemini 4 Carbon, tops the Artificial Analysis leaderboard with 59 points

    Google released Gemini 4 Carbon, which scored 59 points on the Artificial Analysis Intelligence Index v5.0 leaderboard, surpassing Claude Opus 5.5's 58 points and GPT-6 Astra's 57 points. The model achieved 88.2%, 54.8%, and 71.0% on SEC-bench Pro, ExploitGym, and CWE-bench, respectively, and Google says it can handle engineering problems in large codebases continuously for several days. The model this week is first being made available to some cybersecurity defenders, then expanded to trusted partners through the Fairwind Program, with no timeline yet for general users; initial pricing is $2 per million input tokens and $10 per million output tokens.

    Google released Gemini 4 Carbon, which scored 59 points on the Artificial Analysis Intelligence Index v5.0 leaderboard, surpassing Claude Opus 5.5's 58 points and GPT-6 Astra's 57 points. The model achieved 88.2%, 54.8%, and 71.0% on SEC-bench Pro, ExploitGym, and CWE-bench, respectively, and Google says it can handle engineering problems in large codebases continuously for several days. The model this week is first being made available to some cybersecurity defenders, then expanded to trusted p

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Thursday

  1. Mistral AISelected

    Mistral Releases Open Weights for Mistral Large 4 (Le Chonk)

    Mistral has released the open weights for Mistral Large 4 (Le Chonk), a 1-trillion-parameter natively multimodal model that continues reinforcement learning on top of the preview version, with improved coding and defensive cybersecurity capabilities. It scores 19.7% on FrontierCode 2.0 and 48% on the Artificial Analysis Coding Agent Index, roughly on par with GLM-5.3, but uses an average of 47% fewer tokens per task; on Terminal-Bench 4.0 it improves by 13 percentage points to 41%. The model supports three reasoning modes, uses a modified MIT-based Mistral Ecosystem Open-Weight license, and is priced via API at $0.70 per million input tokens, $0.07 for cached input, and $2.10 for output.

    Le Chonk signal

    Mistral has released the open weights for Mistral Large 4 (Le Chonk), a 1-trillion-parameter natively multimodal model that continues reinforcement learning on top of the preview version, with improved coding and defensive cybersecurity capabilities. It scores 19.7% on FrontierCode 2.0 and 48% on the Artificial Analysis Coding Agent Index, roughly on par with GLM-5.3, but uses an average of 47% fewer tokens per task; on Terminal-Bench 4.0 it improves by 13 percentage points to 41%. The model sup

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  2. AWS Machine Learning

    Implementing agentic QA automation with Amazon Nova Act to accelerate software delivery (Part 3)

    The AWS blog introduces two new capabilities added to QA Studio based on Amazon Nova Act: applications organize test cases and test suites into application containers with owners, record CloudWatch metrics by application and environment, and provide a 0–100 health score (starting from the pass rate and deducting points for flaky tests), supporting two trend windows of 7 days/hourly and 30 days/daily. Team-based user management defines five cumulative roles: Admin, Team Lead, Editor, Executor, and Viewer; each application belongs to only one team, and permissions are managed by application rather than by individual test.

    QA Studio application detail page showing pass rate, executions, and failures above the use cases and test suites tabs

    The AWS blog introduces two new capabilities added to QA Studio based on Amazon Nova Act: applications organize test cases and test suites into application containers with owners, record CloudWatch metrics by application and environment, and provide a 0–100 health score (starting from the pass rate and deducting points for flaky tests), supporting two trend windows of 7 days/hourly and 30 days/daily. Team-based user management defines five cumulative roles: Admin, Team Lead, Editor, Executor, an

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  3. AWS Machine Learning

    Distributed Training on EKS with Ray Train DLC and EFA

    AWS has released the Ray Train DLC image ray:train-ml-cuda-v1.1, which comes pre-integrated with Ray 2.58.0, PyTorch 2.13.0, CUDA 13.0.2, NCCL 2.29.7, and EFA along with the AWS OFI NCCL plugin, enabling distributed training on EKS without the need to build images yourself. The example uses PyTorch FSDP to fine-tune Qwen2.5-1.5B on 8 NVIDIA L4 GPUs across two g6.12xlarge instances, with cross-node communication going directly over EFA. The image is publicly hosted on Amazon ECR Public, so nodes can pull it without credentials.

    EKS cluster with a CPU system node running KubeRay and the Ray head, and two EFA-enabled g6.12xlarge GPU worker nodes in one Availability Zone

    AWS has released the Ray Train DLC image ray:train-ml-cuda-v1.1, which comes pre-integrated with Ray 2.58.0, PyTorch 2.13.0, CUDA 13.0.2, NCCL 2.29.7, and EFA along with the AWS OFI NCCL plugin, enabling distributed training on EKS without the need to build images yourself. The example uses PyTorch FSDP to fine-tune Qwen2.5-1.5B on 8 NVIDIA L4 GPUs across two g6.12xlarge instances, with cross-node communication going directly over EFA. The image is publicly hosted on Amazon ECR Public, so nodes

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  4. AWS Machine Learning

    Building an Enterprise-Grade Agentic AI Platform on Amazon Bedrock AgentCore

    AWS has released an enterprise-grade Agentic AI platform blueprint based on Amazon Bedrock and AgentCore, adopting a federated operating model in which a central Platform team provides governed shared services while each Workstream team retains ownership of its own agents, tools, and data. The platform enforces model admission, regional restrictions, rate and token quotas, and budget controls through an independent inference gateway and an MCP tool gateway, and uses an evaluation pipeline to perform gate checks before agents go live.

    Operating model linking the governance foundation, Platform control plane, and team-owned Workstream cells

    AWS has released an enterprise-grade Agentic AI platform blueprint based on Amazon Bedrock and AgentCore, adopting a federated operating model in which a central Platform team provides governed shared services while each Workstream team retains ownership of its own agents, tools, and data. The platform enforces model admission, regional restrictions, rate and token quotas, and budget controls through an independent inference gateway and an MCP tool gateway, and uses an evaluation pipeline to per

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  5. ElevenLabs Blog

    ElevenLabs Releases Sound Effects Model SFX v3, Now Live on ElevenCreative and ElevenAPI

    ElevenLabs has released its next-generation sound effects model SFX v3, now live on ElevenCreative and ElevenAPI. According to the company, in benchmark tests it handles prompts describing multiple sounds more reliably than SFX v2, generates music and voices more convincingly, and produces less noise in sound effects such as gongs, bells, and whistles. Users can generate sound effects via text prompts in Flows, the Sound Effects tab, Studio, and Music Editor, and developers can access it through ElevenAPI.

    Portrait of a young woman with long dark hair wearing a light blue top.

    ElevenLabs has released its next-generation sound effects model SFX v3, now live on ElevenCreative and ElevenAPI. According to the company, in benchmark tests it handles prompts describing multiple sounds more reliably than SFX v2, generates music and voices more convincingly, and produces less noise in sound effects such as gongs, bells, and whistles. Users can generate sound effects via text prompts in Flows, the Sound Effects tab, Studio, and Music Editor, and developers can access it through

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Wednesday

  1. ElevenLabs Blog

    ElevenLabs Signs MoU with the Government of Karnataka, India, to Bring Voice AI into Public Services

    At its inaugural India Summit, ElevenLabs signed an MoU with the Government of Karnataka, India, to explore the use of voice AI for citizen services, voice security, and voice restoration. The collaboration will begin with pilots in grievance handling, public hotlines, and welfare applications, covering Kannada and the 13 other official Indian languages already supported by the platform. ElevenLabs will also deploy a security framework covering deepfake detection, watermarking, authorization, and voice cloning restrictions, and will provide eligible residents with free lifetime voice reconstruction licenses through the One Million Voices program.

    Smiling man wearing glasses and a black shirt.

    At its inaugural India Summit, ElevenLabs signed an MoU with the Government of Karnataka, India, to explore the use of voice AI for citizen services, voice security, and voice restoration. The collaboration will begin with pilots in grievance handling, public hotlines, and welfare applications, covering Kannada and the 13 other official Indian languages already supported by the platform. ElevenLabs will also deploy a security framework covering deepfake detection, watermarking, authorization, an

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  2. ElevenLabs Blog

    ElevenLabs Releases Forced Alignment Model Cue, Supporting Character-Level Audio Timestamps

    ElevenLabs has released the forced alignment model Cue, which can pinpoint the exact time point for each character in audio and has already been used in the Scribe speech-to-text model family. Cue covers more than 90 benchmark languages, processes recordings of any length in a single pass, and takes about half a second to align 1 hour of audio on production GPUs; on benchmarks across 29 languages, its accuracy is higher than all alignment tools tested by ElevenLabs. The model is also available separately through the Forced Alignment API.

    Cue vs. other aligners across accuracy, latency, language, song, and speed benchmarks.

    ElevenLabs has released the forced alignment model Cue, which can pinpoint the exact time point for each character in audio and has already been used in the Scribe speech-to-text model family. Cue covers more than 90 benchmark languages, processes recordings of any length in a single pass, and takes about half a second to align 1 hour of audio on production GPUs; on benchmarks across 29 languages, its accuracy is higher than all alignment tools tested by ElevenLabs. The model is also available s

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  3. ElevenLabs Blog

    ElevenLabs partners with Spain's adELA to provide free voice restoration for ALS patients

    ElevenLabs announced a partnership with the Spanish ALS association adELA to give ALS patients diagnosed in Spain free access to its voice restoration and preservation technology. This is the first project of the ElevenLabs Impact Program in Spain, and Spain is the first country to offer this technology through a nationwide patient association. Patients whose speech has not yet noticeably changed can record new samples, while those whose speech has changed can upload old recordings to generate their own digital voice. It is estimated that there are approximately 4,000–4,500 ALS patients in Spain, many of whom will eventually lose the ability to speak.

    Two people engaged in a conversation on stage, one holding notes.

    ElevenLabs announced a partnership with the Spanish ALS association adELA to give ALS patients diagnosed in Spain free access to its voice restoration and preservation technology. This is the first project of the ElevenLabs Impact Program in Spain, and Spain is the first country to offer this technology through a nationwide patient association. Patients whose speech has not yet noticeably changed can record new samples, while those whose speech has changed can upload old recordings to generate t

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  4. ElevenLabs Blog

    ElevenLabs: Conversational AI Use Cases and Benefits in Banking

    ElevenLabs has released a guide introducing the use cases and benefits of conversational AI in banking: NLP-based agents can handle routine inquiries, identity verification, and payment disputes 24/7, escalating to a human agent only when they cannot resolve the issue or when the customer requests it. The article compares the differences between IVR, rule-based chatbots, and conversational AI agents, and lists high-value scenarios such as account opening, repayment reminders, dispute intake, and fraud alerts, as well as metrics such as first-contact resolution rate and escalation frequency. Systems need to comply with requirements such as SOC 2 Type II, ISO 27001, and PCI DSS.

    Conversational AI in Banking AI results include 40% fewer calls, 10x faster resolutions, and 35¢ calls.

    ElevenLabs has released a guide introducing the use cases and benefits of conversational AI in banking: NLP-based agents can handle routine inquiries, identity verification, and payment disputes 24/7, escalating to a human agent only when they cannot resolve the issue or when the customer requests it. The article compares the differences between IVR, rule-based chatbots, and conversational AI agents, and lists high-value scenarios such as account opening, repayment reminders, dispute intake, and

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