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Amazon Bedrock adds structured outputs for Anthropic Claude models

Amazon Bedrock now supports structured outputs for all Anthropic Claude models on the bedrock-runtime and bedrock-mantle endpoints. The feature uses constrained decoding to enforce a JSON schema during token generation, which the post says makes output formatting deterministic and removes the need for custom parsing or retry logic. It covers JSON Schema output format and strict tool use, works with batch inference, cross-Region inference and streaming, and caches compiled grammars for 24 hours.

Why it matters: This gives teams building on Bedrock a concrete way to get schema-compliant JSON from Claude without custom validation code, which matters for data extraction and agent tool calls.

Amazon BedrockAnthropic ClaudeAWS
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TwelveLabs Pegasus 1.5 video model lands on Amazon Bedrock

TwelveLabs' Pegasus 1.5 is now available in Amazon Bedrock, adding time-based metadata generation that returns every matching video segment as structured JSON with start and end times. The release adds video segmentation, multimodal prompting with reference images, on-the-fly processing from S3 or base64 without pre-indexing, and support for videos up to two hours in a single request. It is invoked via the bedrock-runtime InvokeModel and InvokeModelWithResponseStream APIs in us-west-2.

Amazon BedrockTwelveLabs Pegasusvideo language models
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NVIDIA Open Sources Run:ai Under Apache 2.0 for Kubernetes GPU Orchestration

NVIDIA has released the full Run:ai GPU orchestration platform as open source under Apache 2.0 on GitHub, offering production GPU scheduling, quotas and workload management for Kubernetes and OpenShift without a paid subscription. The release splits into four standalone components: KAI Scheduler, a CUDA 13.4-native GPU Fractioning Operator, KAI Resource Management for projects and quotas, and a Workload Map library. A local development script builds roughly 50 Go services and spins up a five-nod

Why it matters: Teams running shared Kubernetes GPU clusters get a self-hostable, inspectable orchestration stack with scheduling, quota and GPU-fractioning components they can adopt independently.

NVIDIARun:aiKubernetes GPU orchestration
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Voxel51 3.0 Adds Agentic Labeling and Data Provenance to Multimodal Platform

Voxel51 has released version 3.0 of its multimodal data platform aimed at teams training models on robot, vehicle and factory sensor data. The release unifies search, curation, annotation and evaluation, and adds time-series multimodal support, a hybrid semantic/lexical search index on LanceDB, and Agentic Labeling powered by vision-language models. It also introduces Voxel51 Agent with 45+ MCP tools and 18 open-source skills, plus four provenance layers including activity logs, per-sample edit

Voxel51data annotation platformsphysical AI
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Roundup of 20 decision-model alternatives to TypeSafe's Jev

MarkTechPost compares 20 decision models released within about four weeks of TypeSafe's Jev launch, spanning Cloudflare, OpenAI, Perplexity, Liquid AI, AWS's Strands Labs and independent developers. The guide lists size, license, input modalities, Jev API compatibility, pricing and reported benchmarks for each. Most figures are vendor-reported and per the article are not comparable across benchmark suites, while one third-party run from Respan keeps Jev ahead on accuracy but shows Tev1 4B better

decision modelsTypeSafeCloudflare
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Perplexity Open-Sources SPACE, a Firecracker MicroVM Sandbox for AI Agents

Perplexity has open-sourced SPACE (Sandboxed Platform for Agentic Code Execution), the Apache 2.0, Rust-based sandbox platform that runs every task in Perplexity Computer. Each agent task gets its own Firecracker microVM, with credentials and egress policy enforced outside the guest, and the release includes an HTTP API with server-sent events for creating sandboxes and streaming command output. Perplexity reports median sandbox create latency of 60 ms in production and 0 of 108 red-team escape

Why it matters: It gives teams building coding or browsing agents a production-tested, self-hostable isolation layer plus concrete red-team data on the risks of agent network egress.

PerplexityFirecracker microVMAI agent security
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ChatGPT Chrome extension gains tab access and Computer Use actions

OpenAI has updated its Chrome extension so ChatGPT can access a user's open browser tabs, summarize their content, and in Work mode use "Computer Use" to fill out forms or compare products across multiple tabs. The extension is available to all ChatGPT plans.

OpenAIChatGPTGoogle Chrome
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Liquid AI Releases d1-ultra Decision Model with 65 on AA Decision Index

Liquid AI has released d1-ultra, a multimodal decision model that accepts text and images and returns probabilities for typed questions in one forward pass without generating output tokens. Liquid reports it scores 65 on the Artificial Analysis Decision Index, ranking first, and leads all eight categories in its own 112-evaluation suite. It is available via the Liquid API at $0.042 per million input tokens, with images billed as tokens and each question counted as a separate prompt. Parameter co

Liquid AIdecision modelsmultimodal AI
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OpenAI's ChatGPT Chrome extension can now read and use your open browser tabs

OpenAI has upgraded ChatGPT's Google Chrome extension so it can view the browser tabs a user already has open. When users tag Chrome in ChatGPT's web or desktop app, ChatGPT can incorporate tab content into its answers, as shown in a demo comparing three open tabs of sofas. OpenAI frames the update as bringing computer-use capabilities to anyone using Chrome.

OpenAIChatGPTGoogle Chrome
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Meta's Muse Spark Open coding model now deployable via Amazon SageMaker JumpStart

Meta's coding-optimized open-weight model Muse Spark Open is now available in Amazon SageMaker JumpStart, with BF16 and NVFP4 quantized variants. The MoE model has 816B total parameters (42B active), a 1M-token context window, and accepts text, image, document, audio, and audio-video input. It deploys to SageMaker AI endpoints in the user's own AWS account via Studio or the Python SDK, with VPC, KMS encryption, and network isolation options.

MetaAmazon SageMakeropen-weight models
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YouTube Music Rolls Out Labels for AI-Generated Songs

Google has begun rolling out a label in YouTube Music, in the app and on the web, that indicates when a song was made with generative AI tools. The company says the label builds on similar AI disclosures it added to videos on the main YouTube app earlier. Google is not banning AI music, saying generative AI opens new ways for artists to create and share, but it acknowledges that listeners want to know when a track is AI-generated.

GoogleYouTube MusicAI-generated music
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AWS introduces "Trust in Depth" framework for governing autonomous AI agents

AWS outlined a governance approach called Trust in Depth for letting AI agents act with more autonomy while keeping them within verifiable limits. The framework has four layers—Scope, Know, Bound and Observe—combining automated reasoning proofs of precise rules with deterministic policy enforcement outside the agent's reasoning, agent identity tracking, and production observability. It is backed by AWS services including Policy and identity controls in Amazon Bedrock AgentCore, Automated Reasoni

AWSAmazon BedrockAI agent governance
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Amazon's Bee launches two new personal AI devices, starting at $75

Amazon-owned Bee has released its first AI devices since the acquisition: an updated wearable and a credit-card-sized recorder that attaches to smartphones. Both devices can summarize conversations, create to-do lists, and integrate with Alexa and Amazon shopping, with prices starting at $74.99.

AmazonBeeAI hardware
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Security review surfaces privacy risks in Eiliko AI companion robot

The Verge reports that the Eiliko AI companion robot, made by Energize Lab, sends conversations to Chinese servers where stored data could be accessed or the bot's personality hijacked. In a ten-minute test conversation, the robot told the reporter their secrets were safe. The article is a truncated security and privacy review of a consumer AI toy rather than a product or model launch.

EilikoEnergize LabAI companion robots
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Datalab Releases OmniParseBench: An Open OCR Benchmark With 16,288 Pass/Fail Tests

Datalab has released OmniParseBench, an open OCR benchmark that scores document parsers on 16,288 yes/no tests across 2,937 pages from 2,343 documents in 92 languages. The page data, tests, code and offline scorer are public, with results sliceable by tags on five content axes and per-test provenance. At launch, Datalab reports Gemini 3.8 Flash leading at 92.9, Datalab accurate at 92.7, and Claude Sonnet 5.5 posting the top text and tables scores. The benchmark installs via uv pip, requires Pyth

OmniParseBenchOCR evaluationDatalab
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Anchor Browser and AWS AgentCore Payments Enable Autonomous x402 Transactions for AI Agents

AWS and Anchor Browser detailed an integration that lets AI agents handle HTTP 402 Payment Required challenges for x402-protected web pages and APIs autonomously. Anchor Browser provides managed browser sessions, while Amazon Bedrock AgentCore payments manages wallet connectivity, payment proof signing, spending limits, and settlement through providers including Coinbase CDP and Stripe Privy. Developers enable the capability by setting session.x402 to true, with no wallet credentials or payment

Why it matters: This is a concrete launch showing how agentic browsing can transact autonomously with managed payment guardrails, useful for teams building paid-data, API, or paywalled workflows.

AI agentsx402 paymentsbrowser automation
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Shopify opens its catalog up to more AI agents

Shopify announced it will let shoppers configure their AI agents to purchase products on their behalf, opening its catalog to more agents without requiring a partnership integration. The move gives agents access to over a billion listings in Shopify's catalog, which includes items both on and off Shopify storefronts. Shopify previously partnered with Meta to let the Muse agent browse and purchase items for a human. The Verge notes that customers can set up the feature by connecting an account, t

ShopifyAI agentsagentic commerce
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Natural language security queries at Orca Security using Amazon Bedrock

Orca Security partnered with AWS to build Discovery AI, a natural-language query agent on Amazon Bedrock that converts security questions into Sonar/Discovery filters. The production system uses a nine-stage pipeline combining RAG example retrieval, Cohere Rerank 3.5, model selection, agentic filter generation, and validation, with different Bedrock models assigned per stage. Orca reports that Discovery AI reduced input tokens by 93 percent, cost by 90 percent, and latency by 75 percent versus i

Amazon BedrockOrca SecurityRetrieval-Augmented Generation