Posts published by “Hantz Févry”

Hantz Févry is the CEO of Geolava. He is a former Google technical product manager who led AI products and research with his team, now integrated into DeepMind. He specializes in building deeply technical systems that solve real-world problems at scale. At Geolava, he is building a world model, AI systems that can perceive, reason and act in physical environments.

The Next Frontier Is Teaching AI to Compute Physical Reality

The Next Frontier Is Teaching AI to Compute Physical Reality

By Hantz Févry on September 11, 2026

An opinion piece by the CEO of Geolava, which is building a world model

The Scientist Building an AI With No Reason to Kill Us
The Scientist Building an AI With No Reason to Kill Us
By Deborah Yao
Ben Goertzel, who popularized the term artificial general intelligence, says the leading AI labs are building it all wrong.
Analyst: Enterprise AI Spending Soars, But Model Loyalty is Weak
Analyst: Enterprise AI Spending Soars, But Model Loyalty is Weak
By Deborah Yao
Bloomberg Intelligence's Mandeep Singh says enterprise AI token consumption is up 2x to 5x but the link to ROI is less clear.
Deloitte AI Infrastructure Leader: From ‘Tokenmaxxing’ to ‘Valuemaxxing’
Deloitte AI Infrastructure Leader: From ‘Tokenmaxxing’ to ‘Valuemaxxing’
By Deborah Yao
Nicholas Merizzi suggests ways to get the most value out of enterprise AI spending and which KPIs matter.
AI Coding Agents Can Delete Evidence of What They Did
AI Coding Agents Can Delete Evidence of What They Did
By Jeremy Qin, David Schmotz, Derck Prinzhorn et al
German researchers said most AI models they tested failed to guard against hackers telling them to erase records of their actions.
OpenAI Introduces Personal AI Agent and ‘Ultrafast’ Mode
OpenAI Introduces Personal AI Agent and ‘Ultrafast’ Mode
By The AI Innovator Team
CEO Sam Altman unveils 'Dots,' personal AI agents fit for business work. But it's available only in higher-priced tiers.
WisdomTree Research Chief: AI Boom Isn’t a Bubble – But the Stakes Are Rising
WisdomTree Research Chief: AI Boom Isn’t a Bubble – But the Stakes Are Rising
By Deborah Yao
Chris Gannatti compares it to the dot-com bubble and sees important differences.
Agentic AI Building Blocks: Google’s Protocol Joins Linux Foundation’s AI Group
Agentic AI Building Blocks: Google’s Protocol Joins Linux Foundation’s AI Group
By Deborah Yao
Google's Agent2Agent lets agents from different companies to talk to one another - an important building block for agentic AI.
Inside FactSet’s Push to Build an Agentic Future
Inside FactSet’s Push to Build an Agentic Future
By Deborah Yao
FactSet SVP Patrick Starling said the company has quickly adapted to technology shifts from cloud to mobile to AI. Here's how they did it.
Bank Customers Embrace Generative AI – Up to a Point
Bank Customers Embrace Generative AI – Up to a Point
By Deborah Yao
Deloitte Principal Baylee Simon says bank websites beat search engines, AI and social media as trusted sources of banking product information.
What TikTok’s ‘Fruit Soap Operas’ Signal About Brand Engagement
What TikTok’s ‘Fruit Soap Operas’ Signal About Brand Engagement
By Saad Arshad
An opinion piece by the AI technical lead at Intelligent Relations
Experian EVP: Lessons from Launching Apps in ChatGPT
Experian EVP: Lessons from Launching Apps in ChatGPT
By Deborah Yao
Debbie Hsu details what worked – and didn't work – in bringing Experian's credit card, personal loan and insurance apps to the chatbot.
Salesforce Expands Agentforce Across Customer Service, HR and IT
Salesforce Expands Agentforce Across Customer Service, HR and IT
By Deborah Yao
Salesforce EVP Kishan Chetan explains what factors are necessary to make good AI agents.

AI Coding Agents Can Delete Evidence of What They Did
By Jeremy Qin, David Schmotz, Derck Prinzhorn et al on September 30, 2026
German researchers said most AI models they tested failed to guard against hackers telling them to erase records of their actions.
The Gap Between ML Research and Deployment: What Actually Breaks
By Disha Patel on June 23, 2026
An opinion piece by a software engineer and machine learning researcher at Apple (views are her own)
A Novel AI Model That Makes Instant, Expert-level Decisions Without Heavy Computation
By Josiah Kiok on April 23, 2026
It is 100x faster than other agents and performs at nearly a human expert level - while minimizing costs.
Agents of Chaos: A New Category of Enterprise AI Risk
By Natalie Shapira, Chris Wendler, Avery Yen and others on April 2, 2026
Researchers from some of the world's best universities believe AI agents are not ready to be deployed in the real world.