Built for Agents: The Case for Spark Declarative Pipelines
AI agents now write a growing share of production data pipelines (over 70% of SDP...
Daily digest / 23 October 2026
AI news digest — 23 October 2026
Real-time energy trading and analytics on Databricks
Why does real-time energy trading need more than faster data?Energy trading desks...
Bringing foundational models to the front lines of TB screening
Generative AI
From notes to AI training with ChatGPT Work | Realpage.
Austin Braham at Realpage. uses ChatGPT Work to turn ideas, notes and source materials into complete AI training packages tailored to different teams, roles and skill levels.
How Realpage. builds AI training with ChatGPT Work
At Realpage., Austin Braham creates AI training for different teams, roles and skill levels. He uses ChatGPT Work to turn ideas, notes and source materials into complete enablement packages tailored to each audience. The result is more relevant, consistent education that helps…
AI agents for everyday IT fixes | Shield and OpenAI
Shield’s AI agents use Astra to work directly in business software and handle routine IT fixes, giving technicians more time for harder problems that need their judgment.
How Shield uses OpenAI’s Astra to support IT teams
When someone can’t log in or get online, their IT team often has to put other work on hold. Shield is building Forge to help IT services teams get their customers back to work faster. Its AI agents use Astra to work directly in business software and resolve problems that previ…
How AT&T is building AI-powered legal workflows with OpenAI
AT&T’s David McAtee and Bill Ryan describe how AI is changing their legal team’s work—and what they plan to build with OpenAI next. One initiative is a natural-language intake system that would classify and prioritize legal matters, then connect them with relevant knowledge. T…
From analyst to builder with Codex | Benefit Street Partners
Anant Kumar at Benefit Street Partners used Codex to build a tool that collects loan valuations from SEC filings and turns them into a website with visualizations. The first version took about a day. “I’ve gone from being just an analyst and a portfolio manager to being a deve…
How Benefit Street Partners is building financial analysis tools with Codex
“I’ve gone from being just an analyst and a portfolio manager to being a developer as well now. I can build things.” Benefit Street Partners’ Anant Kumar wanted to compare how firms valued the same loans. The information was spread across SEC filings. He built a tool to collec…
Multi-Turn Reinforcement Learning on Amazon SageMaker AI: A hands-on guide
Multi-Turn Reinforcement Learning (MTRL) on Amazon SageMaker AI trains models on the outcome of a whole multi-step task rather than labeled steps. This hands-on guide walks the full pipeline using Wordle: deploying the agent and reward on Amazon Bedrock AgentCore, preparing th…
Scaling NVIDIA TensorRT Performance Optimization Beyond a Single Build Route with the Global Performance Tuner, Part 2
The Global Performance Tuner is a feature for automatic performance tuning released in NVIDIA TensorRT 11.1. It provides automatic, accuracy-aware and... The Global Performance Tuner is a feature for automatic performance tuning released in NVIDIA TensorRT 11.1. It provides au…
Scaling NVIDIA TensorRT Performance Optimization Beyond a Single Build Route with the Global Performance Tuner, Part 1
Deploying a trained neural network involves more than translating each operator into a GPU kernel. It is a compilation problem with many legitimate answers. For... Deploying a trained neural network involves more than translating each operator into a GPU kernel. It is a compil…
GLM-5.3 and the spread of advanced cyber capabilities
GLM-5.3 can autonomously build end-to-end cyber exploits, but unlike other frontier models, it was released without meaningful safeguards to limit misuse.
LLMs are making formal software verification feasible at a much larger scale
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.
How Nokia and NVIDIA Are Accelerating the Future of AI-Native Networks
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 …
Rapidly scaling online storage to serve over 1 billion ChatGPT users (Part II)
Learn how OpenAI scaled Habitat with reliable multi-tenancy, global caching, and Azure Cosmos DB to deliver 12× faster reads for ChatGPT.
Orchestrating SageMaker AI endpoint auto scaling with AWS CDK
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…
Visualize points and routes with GeoJSON in Amazon Quick Sight layer maps
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…
How Bayer Crop Science built an agentic decision engine on Amazon Bedrock AgentCore with AWS Unified Operations
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…
LitPivot: Developing research ideas through dynamic contextualization within the literature landscape
Patterns and problems in multiagent systems
We ran experiments on swarms of Claude agents and found coordination failures, collusion, and sabotage. Here, we share what they mean for AI safety.
Better speech synthesis for audiobooks
“Controllable text to speech” makes speech more expressive, character voices more distinct and consistent.
AI Is Getting Good at Math. Here’s Why.
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.
A Single Decoder Turns Small Models into Action: TurboVLA turns to a throwback architecture to attend to language and vision
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.
Nvidia Courts A New Partner: Reflection releases Beam, an open weight model from an independent U.S.-based lab
Reflection AI, a closely-watched, Nvidia-backed U.S. startup, announced its first model.
ChatGPT for Teens Gets a Report Card: OpenAI adds features for youths as studies doubt program's safety and educational impact
OpenAI announced that it would add college-planning and study tools to its under-18 experience.
Meta Releases Wonder, Opens Spark: All about Muse Wonder (API), Muse Wonder Full (subscription), and Muse Spark Open (weights available)
Meta marched all the way back to the AI frontier to offer a Muse model for everyone.
Using AI Agents to Teach Robots Like Microduck to Walk in Simulation
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…
An alignment assessment of the UK AISI cybertesting incident
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.
The Four Ps — A Leadership Framework: How to Manage An AI-Native Engineering Team
What should an engineering leader such as a VP Engineering or an Engineering manager do to help their team become more proficient in AI?
Meta’s Muse Wonder and Spark Open, Educational Use of ChatGPT, Reflection's Partnership with Nvidia
The Batch News & 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?
A country’s data carries its culture, history, and values. It belongs to its people.
Our CEO Jensen Huang on why that knowledge is a natural resource for Kazakhstan’s AI future.
How Immobiliare.it went from one conversational agent to an agentic network
Italy’s leading property marketplace goes from one conversational agent to an agentic network
[AINews] Black October
the Cyber onslaught continues.
NVIDIA GTC Berlin 2026 Keynote With CEO Jensen Huang
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.
LitPivot: Developing research ideas through dynamic contextualization within the literature landscape
LitPivot helps researchers refine early research ideas through literature-supported critiques and revisions as their proposals evolve.
Q&A: How AI came to model the “messy” human mind
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
Kazakhstan Expands Compute for Its AI Future
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…
OpenAI and Poland’s NASK partner to advance AI safety and security
OpenAI and Poland’s NASK are partnering on AI safety, security, and technical research to strengthen safeguards and support a more resilient digital ecosystem.
Does Your Model Run on AWS Trainium? Look It Up