A conversation with Father Paolo Benanti on how AI reshapes meaning, dialogue, and human flourishing — practical insights for ethics, art, and society.

When Machines Mirror Us: What AI Reveals About Humanity — A Conversation with Father Paolo Benanti

What Can AI Teach Us About Humanity?

Google’s Senior Vice President of Research, Labs, Technology & Society James Manyika sits down with Father Paolo Benanti, a leading expert on AI, ethics, and technology, and professor at the Pontifical Gregorian University at the Vatican, for a discussion about the intersection of artificial intelligence and humanity. #Technology #AI 

00:23 What does AI mean for humanity?
01:41 Human flourishing in the AI era
03:04 The most important ethical issues for AI
04:43 How Father Benanti uses AI
07:01 The "Why" behind AI at Google

Watch more: https://www.youtube.com/watch?v=S-De1TvTw4o&list=PL590L5WQmH8f8ID51T0_9JkWpeL9Dcb-S

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What can AI teach us about humanity? | Father Paolo Benanti & Google’s James Manyika

Ashley Kramer on how OpenAI turns research into repeatable enterprise value — start small, measure outcomes, leverage ChatGPT/APIs, and scale via real customer workflows.

OpenAI’s Research-to-Revenue Playbook — Lessons from Ashley Kramer

Inside OpenAI’s Research-Led Growth with OpenAI Head of Revenue Ashley Kramer

OpenAI Head of Revenue Ashley Kramer joins Cam Adams to discuss how her revenue team is using AI to get ahead. She unpacks how her team bridges research and real-world results, turning powerful models into tools that transform how people work. Ashley also explains how the most boring AI use cases can spark the most valuable“aha” moments, and how OpenAI customers are scaling AI adoption from the top down.


Cam’s notes on Substack: promptedwithcam.substack.com

A behind‑the‑scenes look at how Lowe’s used AI, computer vision, digital twins, and edge‑first design to connect customer journeys, empower associates, and accelerate retail innovation.

Inside Lowe’s AI Transformation: Computer Vision, Edge Processing & Smarter Stores

A Look Inside: How Lowe’s Leveraged AI to Become an Agile Digital Retailer

Lowe’s is using AI and digital twins to reimagine how customers shop, how associates sell, and how teams work behind the scenes. Discover how they’re using NVIDIA technologies to create smarter stores, boost productivity, and deliver better customer experiences.

Hear from Seemantini Godbole, EVP, Chief Digital and Information Officer, Lowe’s.

Explore how OpenUSD and NVIDIA Omniverse can unlock innovation across your enterprise: https://www.nvidia.com/en-us/omniverse/usd/

#retail #DigitalTwins #AI

Practical, technical guide to Agent RFT — reinforcement fine-tuning that trains models to call real tools during rollouts. Learn the training loop, grader design, best practices, and production outcomes.

Agent RFT: Reinforcement Fine-Tuning Guide for Tool-Using Agents

Build Hour: Agent RFT

Agent RFT enables reasoning models to become even more powerful, tool-using agents by training directly on the workflows they will execute in production. By operating on agent rollouts, reasoning models can call tools, generate intermediate reasoning steps, and receive real-time feedback via customer-provided endpoints. This Build Hour will walk through the preparation, infrastructure, and safety oversight to use Agentic RFT. 

Theophile Sautory (Applied AI) and William Hang (API Engineering) cover:

• Improving agent performance with optimization and fine-tuning options
• Key differences between Base RFT and Agentic RFT
• New additions and how Agent RFT works
• Task setup and live demos training with tools
• Customer spotlight on Cognition with Sampriti Panda (Research Engineer)
• Success stories featuring Ambience, Genspark,  Mako, and Rogo
• Live Q&A 

👉 Agent RFT Interest Form: https://tinyurl.com/agentRFT
👉 Follow along with the code repo: https://github.com/openai/build-hours
👉 Sign up for upcoming live Build Hours: https://webinar.openai.com/buildhours/

00:00 Introduction
01:34 Intro to Agent RFT
11:12 Task Setup
14:15 Demos: Training with Tools
31:33 Best Practices
35:15 Customer Spotlight: Cognition
44:58 Success Stories
51:16 Summary
52:33 Q&A

Discover how Nebius built a purpose‑built AI cloud for scalable, reliable, high‑performance training, inference and data processing—designed for multi‑node models and sensible economics.

Scaling AI Inference: Nebius' High-Performance Cloud

Scaling AI Inference Performance in the Cloud with Nebius

When it comes to future-proofing AI deployments, you need reliable underlying AI infrastructure that is purpose-built for high performant and scalable inference.

Explore how Nebius built and deployed its high-reliance AI cloud, powered by NVIDIA.

Using managed Kubernetes with auto-scaling, Nebius optimizes its AI cloud to deliver multi-node training and inference of frontier models and AI applications for startups and enterprises. Nebius, an ecosystem partner for Dynamo, is enabling AI inference at scale with NVIDIA infrastructure. 

Learn how NVIDIA Dynamo and Kubernetes help scale high-performance AI inference in our new Think SMART blog: https://nvda.ws/4qPgD26 

Explore Nebius and NVIDIA collaboration: https://nvda.ws/4hMGjbz 

Watch Nebius leadership session from GTC: https://nvda.ws/3XfIZEZ

Investigative account of how Hitler enlisted artists, architects and officials—through private access, looted art and social rituals—to forge the Nazi high command.

Inside the Nazi Recruitment Machine: Proximity, Privilege and Cultural Complicity

How Hitler Recruited the Leaders of the Nazi High Command: The Untold Mechanics of Proximity, Privilege and Complicity

Vzestup Adolfa Hitlera nestál pouze na jeho armádě, ale také na civilní síti byrokratů, umělců, podnikatelů a manželek, kteří soupeřili o to, aby se dostali co nejblíže k moci. Nábor nacistického vysokého velení se odehrával na soukromých večeřích, večírcích v zabavených vilách a prostřednictvím projevů slepé oddanosti. Neexistovaly žádné dekrety ani formální přísahy – stačilo projevit naprostou loajalitu. Od architektů, kteří utvářeli estetiku Říše, až po úředníky, kteří podepisovali příkazy ke konfiskaci, všichni byli součástí systému, v němž byl privilegium odměnou za fanatismus.

V Berghofu a Obersalzbergu se moc měřila v metrech vzdálenosti od Hitlera. Ministři, generálové a jejich manželky bojovali o pozvání, potřesení rukou nebo dům poblíž Führerovy rezidence. Domácí rivality, žárlivost a okázalost se staly nástroji kontroly. Martin Bormann těmito napětími manipuloval, aby měl všechny pod dohledem, zatímco bankety a společenské rozhovory se měnily v scény, kde úsměv mohl znamenat povýšení a ticho – pád. Ukradený luxus, zabavená umělecká díla a večeře servírované na uloupeném porcelánu byly cenou za příslušnost k elitě režimu.

Hitler nemusel vydávat přímé rozkazy. Jeho okruh moci fungoval na základě iniciativy: každý byrokrat, podnikatel i akademik jednal tak, aby předvídal jeho přání a získal jeho přízeň. Nacistická ideologie se stala důkazem věrnosti a zločinnost – sdíleným zvykem. Tak se nábor rozšířil od ministerstev až po domácnosti, kde manželky, děti a uloupený majetek stvrzovaly rodinné spoluvinictví. Pravda o tom, jak Hitler verboval své vysoké velení, odhaluje, že moc Třetí říše se neopírala pouze o strach, ale také o ambici, průměrnost a fascinaci těch, kteří se rozhodli mu sloužit.

Pravda o tom, jak Hitler verboval vůdce nacistického vysokého velení

See how connecting Gemini to a Python sandbox yields precise numeric answers, auditable code, and reproducible data workflows — demos include summing primes and a CSV Genius app.

Gemini Code Execution: Accurate Math, Auditable Code & CSV Analysis

Code Execution with Gemini | Intro to Tools

Tools extend the abilities of large language models by connecting them to the outside world. Learn how to use the Code Execution tool with Gemini, which enables the model to generate and run Python code, for problems that involve math, data analysis, and code-based reasoning. This is Part 2 of our series on using tools with the Gemini API.

Subscribe to Google for Developers → https://goo.gle/developers

Products Mentioned: Gemini, Google AI Studio,  Gemini API

A fast-paced pregame for NVIDIA GTC that filters the noise—covering model scale, domain-specific models, infrastructure upgrades, startup innovations, and governance takeaways.

GTC Pregame: Model Scale, Infrastructure & Startup Breakthroughs

Pregame with NVIDIA: GTC Live Pregame Show — Inside the Runway for AI Breakthroughs

The GTC Live Pregame is back — bigger than ever.

From breakthrough AI startups to next-generation infrastructure, discover how AI is reshaping industries and accelerating science.

Watch the livestreamed event: https://nvda.ws/47ukFFp

Pregame with NVIDIA: GTC Live Pregame Show

Discover how NVIDIA’s full‑stack platform—CUDA, domain libraries, and NIM‑packaged models like OpenFold3—accelerates open models, protein design, and GPU‑powered healthcare workflows.

NVIDIA’s Full‑Stack AI for Healthcare — NIMs, OpenFold3 & Biodesign

NVIDIA GTC DC 2025: Healthcare Special Address — Rewriting Medicine with AI, Agents, and Physical AI

Healthcare is on the edge of a historic reinvention. The fusion of advanced AI, intelligent digital agents, and physical AI isn't just upgrading the healthcare technology stack—it's rewriting it. This new era is enabling new ways of decoding disease, collapsing the timelines of drug discovery, and unleashing digital health agents that extend care beyond the walls of clinics and hospitals. At the frontier, physical AI is powering self-driving labs, robotic-enabled drug manufacturing, and surgical robotics that learn, adapt, and improve in real time. Collectively, these breakthroughs signal the rise of an intelligent, seamlessly integrated healthcare ecosystem poised to deliver accelerated innovation, unprecedented access, and a more resilient, sustainable healthcare industry for the United States and the world.

Follow us:
X: https://nvda.ws/4hi2sxB
LinkedIn: https://nvda.ws/4eSlE3B
Subscribe to the NVIDIA AI Healthcare Newsletter: https://nvda.ws/4eS1F54

0:00 - GTC DC 2025 Speakers
2:25 - NVIDIA's Full Stack Computing Platform 
4:38 - NVIDIA Healthcare Libraries and Products 
6:17 - Roche DNA Sequencing World Record with Parabricks
7:26 - AI's Progress in Biology
9:58 - Announcing OpenFold3 NIM: Computational Protein Structure Prediction
11:12 - NVIDIA Open Models, Data, Libraries, Top Leaderboards
12:47 - Announcing NVIDIA Clara Open Source Models for Biomolecular Design
14:01 - Researchers Building on NVIDIA Clara Open Source Models
17:17 - Announcing Lilly and NVIDIA Build BioPharma's Most Powerful AI Factory
20:08 - Announcing CZI and NVIDIA Accelerate Virtual Cell Model Development
22:01 - The Healthcare Industry is Leading AI Adoption
23:13 - Agentic AI for Digital Health Care Agents
29:23 - Announcing Verily and NVIDIA Accelerate Precision Health AI
31:16 - The Digital Health Ecosystem
32:00 - Physical AI and Healthcare Robotics
32:38 - Announcing NVIDIA IGX Thor
33:40 - Announcing Diligent Moxi 2.0 Adopts NVIDIA IGX Thor
34:24 - NVIDIA Isaac for Healthcare and Healthcare Robotics 
37:19 - Johnson and Johnson Builds Medical Robots on NVIDIA
38:34 - Announcing NVIDIA Clara Open Source Models for Multimodal Medical AI
39:52 - Companies Building with NVIDIA Clara Open Source Models
41:02 - Summary: Digital Health, Drug Discovery, Medical Devices

NVIDIA GTC DC 2025: Healthcare Special Address

Hands-on intro to ADK Go and Go 80K for Go developers. Learn to define agents, manage sessions, use an event-driven runner, and inspect runs with the Web UI.

Build Reliable AI Agents in Go with ADK Go

Building AI Agents with ADK Go: A Practical Guide

Introducing the  Agent Development Kit (ADK) Go! This new toolkit is officially here, designed for Go developers ready to build powerful generative AI applications.

Get started with our hands-on tutorial, where we'll guide you through building your very first intelligent Go agent. You'll learn the core concepts and see how the ADK Go streamlines the development of sophisticated AI solutions natively in Go.

Resources:
Google for Developers → https://goo.gle/developers
ADK documentation → https://google.github.io/adk-docs
Sample agents → https://github.com/google/adk-samples
ADK Go source code → https://github.com/google/adk-go

Chapters: 
0:00 - Introducing the Go ADK
0:53 - Build your first Go agent
1:49 - Run your agent
2:23 - Understanding Tools
3:28 - Run your agent with tools
5:00 - Multi-agent patterns in Go
7:58 - State, Sessions, and Events 

Subscribe to Google for Developers → https://goo.gle/developers 


Speaker: Ivan Cheung 
Products Mentioned: Agent Development Kit (ADK)

Building AI Agents with ADK Go

Canva’s two-step plan: build a durable, valuable company and then deploy that scale to do the most good — $1.5B in product donations, 800k nonprofits, 12M trees, $100M to GiveDirectly.

Canva’s Two-Step Strategy: Build Value, Scale Good

Canva's Two-Step Plan: Build a Leading Company, Do the Most Good

Canva has always been guided by a simple but ambitious Two-Step Plan:

1. Build one of the world’s most valuable companies.
2. Do the most good we can.This vision has shaped everything we do — from making design accessible to all, to creating meaningful global impact.

Our impact so far:

- $1.5B+ in product value donated to students, teachers, and nonprofits.
- 800,000 nonprofit teams using Canva Pro for free to amplify their missions.
- 12 million trees planted through our One Print, One Tree program.
- $100M committed to GiveDirectly, supporting 185,000 people living in extreme poverty through direct cash transfers.

But this is only the beginning. We believe in the power of imagination — and in imagining not just better tools, but a better world. A world where everyone’s basic needs are met. A world where global goals reflect the hopes of real people, not just policymakers.

That’s why we’re asking: What’s one goal you hope to see achieved in your lifetime?

Share your vision at goalsplatform.org and join a global movement united by hope, action, and imagination.

Canva's Two-Step Plan

Deutsche Telekom, NVIDIA and SAP will deploy 10,000 Blackwell GPUs in Munich to deliver a sovereign, enterprise-grade Industrial AI Cloud scheduled for Q1 2026.

Germany's Industrial AI Cloud — Deutsche Telekom, NVIDIA & SAP

Deutsche Telekom and NVIDIA Launch Industrial AI Cloud: A New Era for Germany's Industry

Germany’s digital future gets a major boost as Deutsche Telekom and NVIDIA unveil the world’s first Industrial AI Cloud, a sovereign, enterprise-grade platform. The partnership will accelerate AI innovation, strengthen European data sovereignty, and drive transformation across industries. Featuring insights from Deutsche Telekom Tim Höttges and NVIDIA founder and CEO Jensen Huang. 

Learn more:  https://www.t-systems.com/de/en/artificial-intelligence/solutions/industrial-ai-cloud

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