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<title>AI News</title>
<link>https://ai-news.ypetit.net/</link>
<description>Real-time aggregator of blogs, RSS feeds and research publications published directly by the world&apos;s largest AI labs and companies. Primary sources only.</description>
<language>en</language>
<lastBuildDate>Fri, 23 Oct 2026 17:08:25 GMT</lastBuildDate>
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<item><title>NVIDIA (YouTube): How Nokia and NVIDIA Are Accelerating the Future of AI-Native Networks</title><link>https://www.youtube.com/watch?v=W3fUEVcaXwg</link><guid isPermaLink="false">https://www.youtube.com/watch?v=W3fUEVcaXwg</guid><pubDate>Fri, 23 Oct 2026 17:00:03 GMT</pubDate><category>media</category><description>Nokia and NVIDIA are advancing AI-RAN commercialization around the globe, helping telecom operators build 5G networks today that are software-programmable to 6G. Explore the momentum behind AI-native networks and learn how running AI and RAN workloads on shared infrastructure …</description></item>
<item><title>OpenAI: Rapidly scaling online storage to serve over 1 billion ChatGPT users (Part II)</title><link>https://openai.com/index/scaling-storage-one-billion-users-part-two</link><guid isPermaLink="false">https://openai.com/index/scaling-storage-one-billion-users-part-two</guid><pubDate>Fri, 23 Oct 2026 17:00:00 GMT</pubDate><category>blog</category><description>Learn how OpenAI scaled Habitat with reliable multi-tenancy, global caching, and Azure Cosmos DB to deliver 12× faster reads for ChatGPT.</description></item>
<item><title>AWS Machine Learning: Orchestrating SageMaker AI endpoint auto scaling with AWS CDK</title><link>https://aws.amazon.com/blogs/machine-learning/orchestrating-sagemaker-ai-endpoint-auto-scaling-with-aws-cdk/</link><guid isPermaLink="false">99e1f40843e42eddcc6ecfc9f758bee6b1d7c9a3</guid><pubDate>Fri, 23 Oct 2026 16:30:10 GMT</pubDate><category>blog</category><description>Updating a SageMaker AI endpoint that has Application Auto Scaling registered makes AWS CloudFormation and AWS CDK deployments fail. This post shows how to build a reusable AWS CDK construct with CloudFormation custom resources that deregisters and re-registers auto scaling au…</description></item>
<item><title>AWS Machine Learning: Visualize points and routes with GeoJSON in Amazon Quick Sight layer maps</title><link>https://aws.amazon.com/blogs/machine-learning/visualize-points-and-routes-with-geojson-in-amazon-quick-sight-layer-maps/</link><guid isPermaLink="false">b00ee9ac34cfc25b65e7db16ebf768122bad4a1b</guid><pubDate>Fri, 23 Oct 2026 16:24:55 GMT</pubDate><category>blog</category><description>Amazon Quick Sight layer maps now support Point and LineString geometry from the same GeoJSON workflow, so you can plot store locations and the routes between them. This post covers the dataset and GeoJSON structure layer maps require, when to choose points or lines, and techn…</description></item>
<item><title>AWS Machine Learning: How Bayer Crop Science built an agentic decision engine on Amazon Bedrock AgentCore with AWS Unified Operations</title><link>https://aws.amazon.com/blogs/machine-learning/how-bayer-crop-science-built-an-agentic-decision-engine-on-amazon-bedrock-agentcore-with-aws-unified-operations/</link><guid isPermaLink="false">b1f9be62942b6b77e09ee44eda01d25e5a58cfc4</guid><pubDate>Fri, 23 Oct 2026 16:21:36 GMT</pubDate><category>blog</category><description>Bayer Crop Science built the Agentic Decision Engine (ADE), a multi-agent platform on Amazon Bedrock AgentCore that lets breeders, analysts, and researchers ask natural language questions about their analytics platform. This post covers the ADE architecture, five design decisi…</description></item>
<item><title>Hugging Face: LitPivot: Developing research ideas through dynamic contextualization within the literature landscape</title><link>https://huggingface.co/blog/allenai/litpivot</link><guid isPermaLink="false">https://huggingface.co/blog/allenai/litpivot</guid><pubDate>Fri, 23 Oct 2026 16:15:50 GMT</pubDate><category>blog</category><description></description></item>
<item><title>Anthropic Research: Patterns and problems in multiagent systems</title><link>https://www.anthropic.com/research/multiagent-systems</link><guid isPermaLink="false">https://www.anthropic.com/research/multiagent-systems</guid><pubDate>Fri, 23 Oct 2026 15:24:25 GMT</pubDate><category>research</category><description>We ran experiments on swarms of Claude agents and found coordination failures, collusion, and sabotage. Here, we share what they mean for AI safety.</description></item>
<item><title>Anthropic Research: LLMs are making formal software verification feasible at a much larger scale</title><link>https://www.anthropic.com/research/formal-verification</link><guid isPermaLink="false">https://www.anthropic.com/research/formal-verification</guid><pubDate>Fri, 23 Oct 2026 15:23:18 GMT</pubDate><category>research</category><description>Claude formally proved security properties in the compiled code of 123 open-source libraries. Along the way, it found bugs that had eluded detection for years.</description></item>
<item><title>Amazon Science: Better speech synthesis for audiobooks</title><link>https://www.amazon.science/blog/better-speech-synthesis-for-audiobooks</link><guid isPermaLink="false">https://www.amazon.science/blog/better-speech-synthesis-for-audiobooks</guid><pubDate>Fri, 23 Oct 2026 15:20:02 GMT</pubDate><category>research</category><description>“Controllable text to speech” makes speech more expressive, character voices more distinct and consistent.</description></item>
<item><title>Latent Space (swyx): AI Is Getting Good at Math. Here’s Why.</title><link>https://latent.space/p/ai-is-getting-good-at-math/</link><guid isPermaLink="false">urn:latent-space:post:post_46e4845e-1c40-414a-8538-c0bf636fb11a</guid><pubDate>Fri, 23 Oct 2026 15:19:48 GMT</pubDate><category>community</category><description>AI models are solving more mathematical problems. A pattern is emerging in their successes that could help us predict which problems they’ll solve next.</description></item>
<item><title>The Batch (Andrew Ng): A Single Decoder Turns Small Models into Action: TurboVLA turns to a throwback architecture to attend to language and vision</title><link>https://www.deeplearning.ai/the-batch/a-single-decoder-turns-small-models-into-action/</link><guid isPermaLink="false">6ad930af04046100012d200c</guid><pubDate>Fri, 23 Oct 2026 15:15:00 GMT</pubDate><category>community</category><description>The vision-language-action architecture that increasingly drives robots relies on a large language model to combine visual observations with text instructions before an action decoder produces motor commands.</description></item>
<item><title>The Batch (Andrew Ng): Nvidia Courts A New Partner: Reflection releases Beam, an open weight model from an independent U.S.-based lab</title><link>https://www.deeplearning.ai/the-batch/nvidia-courts-a-new-partner/</link><guid isPermaLink="false">6ad9300904046100012d2005</guid><pubDate>Fri, 23 Oct 2026 15:10:00 GMT</pubDate><category>community</category><description>Reflection AI, a closely-watched, Nvidia-backed U.S. startup, announced its first model.</description></item>
<item><title>The Batch (Andrew Ng): ChatGPT for Teens Gets a Report Card: OpenAI adds features for youths as studies doubt program&apos;s safety and educational impact</title><link>https://www.deeplearning.ai/the-batch/chatgpt-for-teens-gets-a-report-card/</link><guid isPermaLink="false">6ad92a659f1f3400019b1b50</guid><pubDate>Fri, 23 Oct 2026 15:05:00 GMT</pubDate><category>community</category><description>OpenAI announced that it would add college-planning and study tools to its under-18 experience.</description></item>
<item><title>The Batch (Andrew Ng): Meta Releases Wonder, Opens Spark: All about Muse Wonder (API), Muse Wonder Full (subscription), and Muse Spark Open (weights available)</title><link>https://www.deeplearning.ai/the-batch/meta-releases-wonder-opens-spark/</link><guid isPermaLink="false">6ad926ff9f1f3400019b1b42</guid><pubDate>Fri, 23 Oct 2026 15:00:00 GMT</pubDate><category>community</category><description>Meta marched all the way back to the AI frontier to offer a Muse model for everyone.</description></item>
<item><title>NVIDIA Developer: Using AI Agents to Teach Robots Like Microduck to Walk in Simulation</title><link>https://developer.nvidia.com/blog/using-ai-agents-to-teach-robots-like-microduck-to-walk-in-simulation/</link><guid isPermaLink="false">https://developer.nvidia.com/blog/using-ai-agents-to-teach-robots-like-microduck-to-walk-in-simulation/</guid><pubDate>Fri, 23 Oct 2026 14:58:32 GMT</pubDate><category>research</category><description>Teaching a robot to navigate an obstacle course requires more than a walking policy. It must perceive its surroundings, maintain balance, and adjust its actions... Teaching a robot to navigate an obstacle course requires more than a walking policy. It must perceive its surroun…</description></item>
<item><title>Anthropic Research: An alignment assessment of the UK AISI cybertesting incident</title><link>https://www.anthropic.com/research/alignment-assessment-ukaisi</link><guid isPermaLink="false">https://www.anthropic.com/research/alignment-assessment-ukaisi</guid><pubDate>Fri, 23 Oct 2026 14:51:41 GMT</pubDate><category>research</category><description>In a UK AISI evaluation, Mythos 5 took unsanctioned actions that impacted real people and organizations. In this post, we investigate these behaviors from Claude Mythos 5 further, to understand what they reveal about the model’s alignment.</description></item>
<item><title>The Batch (Andrew Ng): The Four Ps — A Leadership Framework: How to Manage An AI-Native Engineering Team</title><link>https://www.deeplearning.ai/the-batch/the-four-ps/</link><guid isPermaLink="false">6ada6f539d8d710001dec52a</guid><pubDate>Fri, 23 Oct 2026 14:30:00 GMT</pubDate><category>community</category><description>What should an engineering leader such as a VP Engineering or an Engineering manager do to help their team become more proficient in AI?</description></item>
<item><title>The Batch (Andrew Ng): Meta’s Muse Wonder and Spark Open, Educational Use of ChatGPT, Reflection&apos;s Partnership with Nvidia</title><link>https://www.deeplearning.ai/the-batch/issue-376/</link><guid isPermaLink="false">6ada6f35a438b50001a256b0</guid><pubDate>Fri, 23 Oct 2026 14:00:00 GMT</pubDate><category>community</category><description>The Batch News &amp; Insights: What should an engineering leader such as a VP Engineering or an Engineering manager do to help their team become more proficient in AI?</description></item>
<item><title>NVIDIA (YouTube): A country’s data carries its culture, history, and values. It belongs to its people.</title><link>https://www.youtube.com/shorts/3KZbymg-lOw</link><guid isPermaLink="false">https://www.youtube.com/shorts/3KZbymg-lOw</guid><pubDate>Fri, 23 Oct 2026 12:13:02 GMT</pubDate><category>media</category><description>Our CEO Jensen Huang on why that knowledge is a natural resource for Kazakhstan’s AI future.</description></item>
<item><title>ElevenLabs: How Immobiliare.it went from one conversational agent to an agentic network</title><link>https://elevenlabs.io/blog/immobiliare</link><guid isPermaLink="false">https://elevenlabs.io/blog/immobiliare</guid><pubDate>Fri, 23 Oct 2026 12:00:00 GMT</pubDate><category>blog</category><description>Italy’s leading property marketplace goes from one conversational agent to an agentic network</description></item>
<item><title>Latent Space (swyx): [AINews] Black October</title><link>https://latent.space/p/ainews-black-october/</link><guid isPermaLink="false">urn:latent-space:post:post_3049d28e-7e21-4f4e-9f4b-ff63b89ebd0d</guid><pubDate>Fri, 23 Oct 2026 10:09:29 GMT</pubDate><category>community</category><description>the Cyber onslaught continues.</description></item>
<item><title>NVIDIA (YouTube): NVIDIA GTC Berlin 2026 Keynote With CEO Jensen Huang</title><link>https://www.youtube.com/watch?v=v-NGxyPjcrE</link><guid isPermaLink="false">https://www.youtube.com/watch?v=v-NGxyPjcrE</guid><pubDate>Fri, 23 Oct 2026 08:43:07 GMT</pubDate><category>media</category><description>Join NVIDIA founder and CEO Jensen Huang live from Berlin for the latest in AI and accelerated computing. Discover how Europe is building its own intelligence—with the control, knowledge, and tools to put AI to work.</description></item>
<item><title>Allen Institute for AI (Ai2): LitPivot: Developing research ideas through dynamic contextualization within the literature landscape</title><link>https://allenai.org/blog/litpivot</link><guid isPermaLink="false">https://allenai.org/blog/litpivot</guid><pubDate>Fri, 23 Oct 2026 08:00:00 GMT</pubDate><category>research</category><description>LitPivot helps researchers refine early research ideas through literature-supported critiques and revisions as their proposals evolve.</description></item>
<item><title>MIT News (AI): Q&amp;A: How AI came to model the “messy” human mind</title><link>https://news.mit.edu/2026/qa-how-ai-came-to-model-messy-human-mind-1023</link><guid isPermaLink="false">https://news.mit.edu/2026/qa-how-ai-came-to-model-messy-human-mind-1023</guid><pubDate>Fri, 23 Oct 2026 04:00:00 GMT</pubDate><category>news</category><description>Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.</description></item>
<item><title>NVIDIA: Kazakhstan Expands Compute for Its AI Future</title><link>https://blogs.nvidia.com/blog/kazakhstan-ai-compute-ecosystem/</link><guid isPermaLink="false">https://blogs.nvidia.com/?p=99413</guid><pubDate>Fri, 23 Oct 2026 02:00:13 GMT</pubDate><category>blog</category><description>Kazakhstan’s AI ecosystem is moving from infrastructure plans to deployment. The shift is visible across the full AI stack — from infrastructure to models to applications. The announcements below — coinciding with a visit to Astana by NVIDIA founder and CEO Jensen Huang — poin…</description></item>
<item><title>OpenAI: OpenAI and Poland’s NASK partner to advance AI safety and security</title><link>https://openai.com/index/openai-nask-ai-safety-security-partnership</link><guid isPermaLink="false">https://openai.com/index/openai-nask-ai-safety-security-partnership</guid><pubDate>Fri, 23 Oct 2026 00:00:00 GMT</pubDate><category>blog</category><description>OpenAI and Poland’s NASK are partnering on AI safety, security, and technical research to strengthen safeguards and support a more resilient digital ecosystem.</description></item>
<item><title>Hugging Face: Does Your Model Run on AWS Trainium? Look It Up</title><link>https://huggingface.co/blog/torch-neuronx-model-support</link><guid isPermaLink="false">https://huggingface.co/blog/torch-neuronx-model-support</guid><pubDate>Fri, 23 Oct 2026 00:00:00 GMT</pubDate><category>blog</category><description></description></item>
<item><title>Hugging Face: Turning Database Grading into RL Rewards: Post-Training Agents with ThinkingBox</title><link>https://huggingface.co/blog/microsoft/thinkingbox-training</link><guid isPermaLink="false">https://huggingface.co/blog/microsoft/thinkingbox-training</guid><pubDate>Thu, 22 Oct 2026 22:24:34 GMT</pubDate><category>blog</category><description></description></item>
<item><title>Anthropic: Open call for guest investigators in the life sciences</title><link>https://www.anthropic.com/news/open-call-guest-investigators-life-sciences</link><guid isPermaLink="false">https://www.anthropic.com/news/open-call-guest-investigators-life-sciences</guid><pubDate>Thu, 22 Oct 2026 21:59:15 GMT</pubDate><category>news</category><description>Today, we’re inviting members of the life sciences community to apply to work with us on special projects.</description></item>
<item><title>OpenAI (YouTube): Messi asks ChatGPT to teach him a chess opening</title><link>https://www.youtube.com/shorts/RLQR5_5fJDA</link><guid isPermaLink="false">https://www.youtube.com/shorts/RLQR5_5fJDA</guid><pubDate>Thu, 22 Oct 2026 21:58:00 GMT</pubDate><category>media</category><description>Messi asked ChatGPT to teach him a chess opening that matched his style. It suggested Goat Horns. 🐐🤘 Try ChatGPT&apos;s Intelligent UI yourself: “Based on what you know about me, teach me something new. Show me step by step.&quot;</description></item>
<item><title>MIT News (AI): This design software reimagines everyday objects as self-aware devices</title><link>https://news.mit.edu/2026/design-software-reimagines-everyday-objects-as-self-aware-devices-1022</link><guid isPermaLink="false">https://news.mit.edu/2026/design-software-reimagines-everyday-objects-as-self-aware-devices-1022</guid><pubDate>Thu, 22 Oct 2026 20:45:00 GMT</pubDate><category>news</category><description>“X-Hinges” helps design and 3D print items like lamps and gloves with an interactive twist: automatically embedded sensors that perceive and adaptively respond to human contact.</description></item>
<item><title>Amazon Science: The science behind TorchNeuron, Amazon’s new PyTorch backend for AWS Trainium chips</title><link>https://www.amazon.science/blog/the-science-behind-torchneuron-amazons-new-pytorch-backend-for-aws-trainium-chips</link><guid isPermaLink="false">https://www.amazon.science/blog/the-science-behind-torchneuron-amazons-new-pytorch-backend-for-aws-trainium-chips</guid><pubDate>Thu, 22 Oct 2026 19:36:42 GMT</pubDate><category>research</category><description>Runtime optimizations and a thorough evaluation process driven by agentic AI help ensure that models written in PyTorch will execute efficiently and reliably on Trainium systems.</description></item>
<item><title>Databricks / Mosaic AI: The new economics of AI cost management</title><link>https://www.databricks.com/blog/ai-cost-management</link><guid isPermaLink="false">https://www.databricks.com/blog/ai-cost-management</guid><pubDate>Thu, 22 Oct 2026 19:14:24 GMT</pubDate><category>blog</category><description>For the past two years, the story around enterprise AI adoption has mostly been about...</description></item>
<item><title>OpenAI: Build more responsive apps with the Decisions API</title><link>https://openai.com/index/decisions-api</link><guid isPermaLink="false">https://openai.com/index/decisions-api</guid><pubDate>Thu, 22 Oct 2026 19:00:00 GMT</pubDate><category>blog</category><description>Fast, focused, low-cost decisions for any application.</description></item>
<item><title>Databricks / Mosaic AI: The Fraud Analyst AI Coworker: Detecting Telecom Fraud in Real-Time on One Platform</title><link>https://www.databricks.com/blog/fraud-analyst-ai-coworker-detecting-telecom-fraud-real-time-one-platform</link><guid isPermaLink="false">https://www.databricks.com/blog/fraud-analyst-ai-coworker-detecting-telecom-fraud-real-time-one-platform</guid><pubDate>Thu, 22 Oct 2026 18:30:00 GMT</pubDate><category>blog</category><description>BackgroundAccording to the Communications Fraud Control Association&apos;s 2025 survey...</description></item>
<item><title>Databricks / Mosaic AI: The AI Bill is coming</title><link>https://www.databricks.com/blog/ai-bill-coming</link><guid isPermaLink="false">https://www.databricks.com/blog/ai-bill-coming</guid><pubDate>Thu, 22 Oct 2026 18:12:49 GMT</pubDate><category>blog</category><description>In this conversation, Catherine Brown talks with Patrick about what happened when...</description></item>
<item><title>AWS Machine Learning: Amazon Polly delivers a major upgrade to its Generative engine</title><link>https://aws.amazon.com/blogs/machine-learning/amazon-polly-delivers-a-major-upgrade-to-its-generative-engine/</link><guid isPermaLink="false">8dd8e6bc35ad32eff8fd57bbe04f9c56274f46ed</guid><pubDate>Thu, 22 Oct 2026 18:06:35 GMT</pubDate><category>blog</category><description>The Amazon Polly Generative engine gets a major upgrade: more expressive, more accurate speech with low latency, plus 14 new voices across 9 locales and general availability of Hindi and Finnish. This drop-in upgrade requires no code changes and is now generally available in p…</description></item>
<item><title>AWS Machine Learning: How IskayPet unified corporate knowledge with Amazon Bedrock Managed Knowledge Bases</title><link>https://aws.amazon.com/blogs/machine-learning/how-iskaypet-unified-corporate-knowledge-with-amazon-bedrock-managed-knowledge-bases/</link><guid isPermaLink="false">4c086dcfa95658eafa8d777d0aa2a5fcb4edc64f</guid><pubDate>Thu, 22 Oct 2026 18:01:53 GMT</pubDate><category>blog</category><description>Learn how IskayPet, a leading pet care company in Iberia, built a multilingual corporate knowledge assistant on Amazon Bedrock Managed Knowledge Bases. The assistant answers employee questions across retail, veterinary, onboarding, and procurement in four languages and three c…</description></item>
<item><title>OpenAI (YouTube): Uber rolls out ChatGPT Work to 30,000+ employees</title><link>https://www.youtube.com/watch?v=l16Gw7oVLNQ</link><guid isPermaLink="false">https://www.youtube.com/watch?v=l16Gw7oVLNQ</guid><pubDate>Thu, 22 Oct 2026 18:00:13 GMT</pubDate><category>media</category><description>Following a 1,000-person pilot, Uber is bringing ChatGPT Work to more than 30,000 employees worldwide in its first company-wide deployment of an agentic platform for knowledge work. Uber CTO Praveen Neppalli Naga and OpenAI co-founder and President Greg Brockman discuss expand…</description></item>
<item><title>AWS Machine Learning: Announcing new ways to customize models with SageMaker AI, without managing GPUs</title><link>https://aws.amazon.com/blogs/machine-learning/announcing-new-ways-to-customize-models-with-sagemaker-ai-without-managing-gpus/</link><guid isPermaLink="false">123e9274ff10d780d0521efd9bdc03cfb23cff08</guid><pubDate>Thu, 22 Oct 2026 18:00:04 GMT</pubDate><category>blog</category><description>Amazon SageMaker AI serverless model customization now includes training sessions, generally available today. You write and coordinate your own post-training loop (custom loss functions, reward signals, or multi-turn reinforcement learning) while SageMaker AI handles GPU alloc…</description></item>
<item><title>AWS Machine Learning: Write your own training loop — without managing GPUs — with Amazon SageMaker training session APIs</title><link>https://aws.amazon.com/blogs/machine-learning/write-your-own-training-loop-without-managing-gpus-with-amazon-sagemaker-training-sessions/</link><guid isPermaLink="false">85d3ed31b82ab8523ac7effc5500095e66ae8521</guid><pubDate>Thu, 22 Oct 2026 18:00:01 GMT</pubDate><category>blog</category><description>Amazon SageMaker AI training session APIs let you write your own LLM training loop (SFT, RL, or custom objectives) in a Python script while the service runs the GPUs. This post introduces the programming model and three SDK clients, then walks through a GRPO loop on GSM8K and …</description></item>
<item><title>Anthropic: Donating Agent Skills to the Agentic AI Foundation</title><link>https://www.anthropic.com/news/donating-agent-skills-to-the-agentic-ai-foundation</link><guid isPermaLink="false">https://www.anthropic.com/news/donating-agent-skills-to-the-agentic-ai-foundation</guid><pubDate>Thu, 22 Oct 2026 17:48:51 GMT</pubDate><category>news</category><description>Anthropic is an AI safety and research company that&apos;s working to build reliable, interpretable, and steerable AI systems.</description></item>
<item><title>AWS Machine Learning: Deploy AI in a HIPAA-eligible environment with Amazon Quick</title><link>https://aws.amazon.com/blogs/machine-learning/deploy-ai-in-a-hipaa-eligible-environment-with-amazon-quick/</link><guid isPermaLink="false">9bd193b4e42ef70bdb7e98ad7ab3c3f9df6f367e</guid><pubDate>Thu, 22 Oct 2026 17:48:22 GMT</pubDate><category>blog</category><description>Amazon Quick is a HIPAA-eligible service, but eligibility is not the same as compliance. This post explains who HIPAA applies to, how PHI flows through Amazon Quick, what the platform provides for regulated environments, and a step-by-step guide to deploying compliant AI agent…</description></item>
<item><title>AWS Machine Learning: Stream low-latency speech from AI agents using Kokoro TTS on Amazon SageMaker AI</title><link>https://aws.amazon.com/blogs/machine-learning/stream-low-latency-speech-from-ai-agents-using-kokoro-tts-on-amazon-sagemaker-ai/</link><guid isPermaLink="false">351e07d8236b8a05fa15e510dcb5b937d7a9dec8</guid><pubDate>Thu, 22 Oct 2026 17:45:58 GMT</pubDate><category>blog</category><description>Voice agents often wait for an agent&apos;s full response before starting speech synthesis, adding latency users feel directly. This post shows how to stream each sentence to a Kokoro-82M text-to-speech model on Amazon SageMaker AI as the agent produces it, and how to get that audi…</description></item>
<item><title>Latent Space (swyx): Why AI Compute Comes in Rectangles — Erik Bernhardsson, Modal CEO</title><link>https://latent.space/p/modal-d/</link><guid isPermaLink="false">https://www.latent.space/p/modal-d</guid><pubDate>Thu, 22 Oct 2026 17:40:57 GMT</pubDate><category>community</category><description>Elastic GPUs, sandbox growth, and the economics of the agent cloud</description></item>
<item><title>NVIDIA Developer: How to Read Data into GPU Memory in Python with NVIDIA GPUDirect Storage</title><link>https://developer.nvidia.com/blog/how-to-read-data-into-gpu-memory-in-python-with-nvidia-gpudirect-storage/</link><guid isPermaLink="false">https://developer.nvidia.com/blog/how-to-read-data-into-gpu-memory-in-python-with-nvidia-gpudirect-storage/</guid><pubDate>Thu, 22 Oct 2026 16:39:09 GMT</pubDate><category>research</category><description>GPU applications are processing ever-growing datasets with increasingly powerful accelerators. According to the 2025 Stanford AI Index, compute for notable AI... GPU applications are processing ever-growing datasets with increasingly powerful accelerators. According to the 202…</description></item>
<item><title>AWS Machine Learning: Stop guessing auto scaling targets for TTS on Amazon SageMaker AI</title><link>https://aws.amazon.com/blogs/machine-learning/stop-guessing-auto-scaling-targets-for-tts-on-amazon-sagemaker-ai/</link><guid isPermaLink="false">bc1e8aba2e409ec4403d397afa02816caf7e4b6e</guid><pubDate>Thu, 22 Oct 2026 16:30:06 GMT</pubDate><category>blog</category><description>Teams deploying custom text-to-speech models on Amazon SageMaker AI often guess at autoscaling thresholds, and a wrong guess either wastes GPU spend or breaches a latency SLO. This post deploys Kokoro-82M as a custom container and derives a measured autoscaling policy from two…</description></item>
<item><title>AWS Machine Learning: How Rescale built an AI triage agent with Strands Agents and AI-DLC</title><link>https://aws.amazon.com/blogs/machine-learning/how-rescale-built-an-ai-triage-agent-with-strands-agents-and-ai-dlc/</link><guid isPermaLink="false">7b42b92d3553785669b6b7f2bc67061098c8e566</guid><pubDate>Thu, 22 Oct 2026 16:25:57 GMT</pubDate><category>blog</category><description>Rescale used the AI-Driven Development Lifecycle (AI-DLC) framework on AWS, with Strands Agents and Amazon Bedrock, to build an intelligent test-triage agent in weeks. Learn how AI-DLC structures AI-assisted development and how Rescale is scaling the practice across its engine…</description></item>
<item><title>Microsoft Research: Flint-interactive: A language for creating interactive data visualizations</title><link>https://www.microsoft.com/en-us/research/blog/flint-interactive-a-language-for-creating-interactive-data-visualizations/</link><guid isPermaLink="false">https://www.microsoft.com/en-us/research/?p=1190353</guid><pubDate>Thu, 22 Oct 2026 16:00:00 GMT</pubDate><category>research</category><description>Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizat…</description></item>
<item><title>NVIDIA Developer: Running Frontier-Class AI Models Across 8 NVIDIA DGX Spark Nodes</title><link>https://developer.nvidia.com/blog/running-frontier-class-ai-models-across-8-nvidia-dgx-spark-nodes/</link><guid isPermaLink="false">https://developer.nvidia.com/blog/running-frontier-class-ai-models-across-8-nvidia-dgx-spark-nodes/</guid><pubDate>Thu, 22 Oct 2026 16:00:00 GMT</pubDate><category>research</category><description>AI developers aren’t just running a single model anymore—they’re orchestrating multiple models in parallel, chaining inference calls, and experimenting... AI developers aren’t just running a single model anymore—they’re orchestrating multiple models in parallel, chaining infer…</description></item>
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