Daily archive
AI news for Thursday, 5 November 2026
69 headlines from 37 sources, newest first.
Headlines 69
- Bringing conversational analytics to Gemini with Agentic Data Cloud connectors
Data Cloud connectors in Gemini for business, now in preview, give business users and analysts a direct way to query live enterprise data in natural language. Across most organizations, data questions multiply faster…
- Seoul Economic Daily: Character.AI Bankruptcy Raises Fears Over Chat Records
“Calli Schroeder, AI lead at the Electronic Privacy Information Center (EPIC), told the BBC that users disclose far more private and sensitive information when talking to anthropomorphized chatbots. She added that…
- Gadget Review: New Jersey Wants to Make AI Companies Pay $5,000 for Every Violation
“The Electronic Privacy Information Center supports A5607, arguing that major chatbot providers have repeatedly failed to prioritize user safety over profit and should not be left to self-regulate. That is EPIC’s…
- Snowflake CoCo for Excel and Google Sheets: Governed AI
Snowflake CoCo brings governed AI to Microsoft Excel and Google Sheets, with live Snowflake data, agentic workbook building and role-based security.
- Vera Delivers the Best of Both Worlds: Highest Throughput and Fastest Agents
AI agents do more than generate answers. They search for information, query databases, write and test code and take action. Each of those steps relies on a CPU, with agents moving between GPU reasoning and CPU execution…
- Cult.fit builds operational muscle with Codex
Cult.fit is using Codex to help teams across functions build tools, move faster, and change how work gets done.
- METR: Independent Assessment of AI R&D Acceleration at Anthropic in October 2026
Executive summary From August 12 to October 29, 2026, METR staff performed a high-access evaluation at Anthropic to assess the degree to which AI is accelerating AI R&D. If AI systems started to significantly accelerate…
- Give Your Muse a Voice
We’re rolling out voice and expressive avatars in the Muse app, giving you a new way to interact with your Muse.
- Agents aren’t humans (but they kinda are)
AI agents act for millions, but servers see intermediaries that strip user visibility. This post defines the problem space and introduces a collaborative approach to safely identifying, allowing, and managing this…
- Into the Omniverse: How Developers Turn Ideas Into Simulations With Frontier AI Agents
Turning a simulation idea into a working application means assembling assets, connecting physics and rendering, and checking that the scene behaves as intended. Developers are combining frontier AI models with NVIDIA…
- Australian universities are creating AI-native graduates
Australian universities are expanding access to ChatGPT and bringing AI into teaching and learning to prepare students for an AI-enabled workforce.
- Gemini Omni 1.2 Flash: Fast, cost-effective, and reliable video generation and editing now generally available
Today, Gemini Omni 1.2 Flash is generally available on Google Cloud. Built for the everyday videos businesses make in volume — like product videos, virtual try-ons, and ads — this model is fast, cost-effective, and…
- Gemini Omni 1.2 Flash: Fast and cost-effective with longer clips
Gemini Omni 1.2 Flash brings native 15-second video generation and editing, stronger consistency, and 30% lower pricing.
- Stop treating agents as one-off projects and start running them as a continuous discipline
AI must be selected, architected, and managed as a continuous business discipline, not a series of isolated projects.
- Configure, Certify, and Operate Kubernetes GPU Clusters with NVIDIA DSX OS
One underperforming GPU can slow an entire distributed training job. The node may pass basic health checks and show normal utilization, leaving operators to...
- The Wizard of Open Weights: Chris Alexiuk Makes AI Easy With Open Models
Chris Alexiuk has a simple rule about open source AI: If you believe in it, be loud about it. “We should be shouting about this technology from the rooftops,” said Alexiuk, a Toronto-based senior product research…
- Five Ways NVIDIA Co-Design Maximizes the Value of Every Byte in the AI Factory
In an AI factory, high bandwidth memory (HBM)is the fastest, most expensive, and most contested memory tier. Every byte spent on a redundant weight copy, an...
- Formally verifying agent-written full-stack web apps with PDD Kit
AI agents can generate code at a scale that’s hard for humans to review line-by-line. PDD Kit helps ensure the code is doing what the developer intended by creating formal specifications and testing against them. It…
- More Performance From Every Byte: How Full-Stack Codesign Solves AI’s Memory Challenge
Larger models, longer contexts and agentic applications are increasing GPU memory pressure while supply tightens and prices rise — a trend expected to continue through the near term. NVIDIA works closely with memory…
- Hamed Karimi wins ECML PKDD Test-of-Time Award
Amazon senior applied scientist and coauthors showed that an overlooked mathematical condition from 1963 proves why frequently used machine-learning optimization methods work well.
- Statement: The pro-human movement is winning
FLI's Head of U.S. Policy Michael Kleinman issues a statement on the U.S. Senate Midterm Election results.
- Bring Agentic Coding On-Device with Foundry Local
Foundry Local brings agentic coding directly to developer hardware.
- ‘Hogwarts Legacy’ Gets a Magical NVIDIA DLSS 5 Upgrade on GeForce NOW
Hogwarts Legacy receives an NVIDIA DLSS 5 upgrade with 3D-Guided Neural Rendering today, bringing lifelike lighting and materials to the wizarding world on GeForce NOW. Blizzard Entertainment’s World of Warcraft…
- SAP Business One: 30 Years of Growing Together
Thirty years later, the solution continues to evolve alongside its customers and the 1.2 million users working with it every day.
- LangSmith BYOC is now available on AWS, Azure, and Google Cloud
LangSmith BYOC now runs on AWS (GA), Azure and Google Cloud (Beta). Your traces, evals, and agent deployments stay in your cloud account while LangChain runs it.
- Le Chonk brings the brains. Studio puts it to work.
Build and deploy enterprise agents, workflows and apps faster with Mistral Studio and Le Chonk full control over your models, data and infrastructure.
- Three Skills That Define the New Entry-Level Job in the AI Era
As organizations adapt, the expectations placed on employees are evolving just as quickly.
- GPT‑6 Cyber: Advancing the frontier of aligned cybersecurity agents
Introducing GPT‑6 Cyber, OpenAI’s cybersecurity model for finding exploitable vulnerabilities and developing fixes, trained to stay within authorized scope.
- Merge builds product and business tools with OpenAI technology
Merge uses GPT-6 Astra, ChatGPT, and Codex to review product code and support marketing. Its teams also use AI to plan executive dinners and prepare sales updates.
- Clearing up a robot’s fuzzy memory
A new system identifies and corrects unreliable object descriptions stored in a robot’s memory, improving the robot’s ability to interact with its environment.
- A tiny supercurrent could unlock quantum information without destroying it
Researchers have proposed a breakthrough technique for reading quantum information without destroying the delicate states that make quantum computers work. By detecting an electrical signal generated by the qubit…
- Setting a new standard for responsible AI infrastructure
OpenAI introduces its National Community Compact and Compute Campus Policy Blueprint to protect local resources, create jobs, and guide responsible AI infrastructure development.
- Flipsnack grows product signups with conversion optimization
Flipsnack focused its ChatGPT Ads campaigns on getting people to try its product, growing registrations while lowering the cost per signup.
- Franklin Templeton uses OpenAI to support investment research
Starting with equity research, Franklin Templeton is developing AI workflows to help portfolio managers compare research views and examine investment risks.
- Fractal basin geometry and the limits to predictability and reproducibility in deep learning
Nature Machine Intelligence, Published online: 05 November 2026; doi:10.1038/s42256-026-01336-3 Deep learning outcomes are hard to predict and reproduce. Ly and Gong propose fractal basin geometry as a mechanism…
- Faster Retrieval for Better, More Efficient RAG
Maximum inner product search (MIPS) sits at the core of recommendation systems, search, and retrieval-augmented generation (RAG). Given a query vector, MIPS systems search within a database of millions of candidate key…
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