Ontology is the real guardrail: How to stop AI agents from misunderstanding your business

Source: AI | VentureBeat | Published: 2025-11-30

AI agents often fail in business settings because they misunderstand the contextual meaning of data, as terms like “customer” can vary between departments. The article argues for implementing a business ontology – a formal definition of concepts and their relationships – to create a single source of truth. This ontology acts as a critical guardrail, grounding AI agents in real business logic to ensure they follow policies, interpret data correctly, and avoid costly hallucinations.

How background AI builds operational resilience & visible ROI

Source: AI News | Published: 2025-11-28

While many businesses focus on customer-facing AI like chatbots, the most significant return on investment is actually generated by “background” AI systems. These tools work silently within backend operations to automate tasks like risk reviews and flagging irregularities. This enhances operational resilience and delivers a more visible and substantial ROI.

The AI Hype Index: The people can’t get enough of AI slop

Source: Artificial intelligence – MIT Technology Review | Published: 2025-11-26

This article introduces the “AI Hype Index,” a new tool created to help people distinguish between the reality of AI and industry hype. The index offers a simple summary of the current state of AI, addressing the public’s consumption of low-quality, AI-generated content, also known as “AI slop.”

Nvidia Refutes Criticism In Memo To Analysts

Source: Technology News | Silicon UK | Published: 2025-11-28

Nvidia has circulated a memo to sell-side stock analysts refuting recent criticisms of its business. The company is seeking to defend its $4.5 billion valuation and affirm the long-term sustainability of demand for its AI technology.

Legaltech Career Insights – “I train AI to think like a lawyer”

Source: Legal IT Insider | Published: 2025-11-28

Legal engineer Jeannique Swiegers represents a new career path at the intersection of law and technology. At the company Sirion, her work involves training AI by translating complex legal language into intelligent systems. These systems are designed to help organisations with legal reasoning and decision-making.

Popular AI models aren’t ready to safely run robots, say CMU researchers

Source: The Robot Report | Published: 2025-11-30

According to researchers at Carnegie Mellon University and King’s College London, popular AI models are not yet safe enough to operate robots. Their study evaluated how robots powered by Large Language Models (LLMs) behave when they have access to personal information. The findings suggest significant safety and privacy concerns are yet to be addressed.

How smart can AI get, really?

Source: David Shapiro’s Substack | Published: 2025-11-29

This piece speculates on the ultimate potential of artificial intelligence and our ability to manage its growth. It raises the critical question of whether humanity can keep pace with AI’s rapid advancement, concluding with the pessimistic view that we probably cannot.

🔮 Ten things I’m thinking about AI | Part 4

Source: Exponential View | Published: 2025-11-30

The field of artificial intelligence is being characterised as an evolving arena for intense power struggles. As various players and ideologies compete for influence, this conflict is creating deep divisions and schisms within the AI community. NB this is Part 4 of a four-part thread.

The Sequence Radar #763: Last Week AI Trifecta: Opus 4.5, DeepSeek Math, and FLUX.2

Source: TheSequence | Published: 2025-11-30

Last week was a notable one for the AI industry, featuring a trifecta of major model releases. Key announcements included the launch of Opus 4.5, DeepSeek Math, and FLUX.2. These releases mark a significant period of advancement and new introductions in the field.

I was a senior director of GenAI at Meta. I have 4 tips for breaking into AI — including whether you need a PhD

Source: Business Insider | Published: 2025-11-27

According to Devi Parikh, a former senior director of GenAI at Meta, a PhD is not a requirement to do cutting-edge work in artificial intelligence. Now the co-CEO of an AI company, Parikh offers several tips for professionals aspiring to break into the rapidly growing field.

Poems Can Trick AI Into Helping You Make a Nuclear Weapon

Source: Wired | Published: 2025-11-28

A newly discovered vulnerability shows that AI chatbots can be tricked into bypassing their safety features when harmful requests are disguised as poems. This creative “jailbreaking” method uses poetic structures like meter and rhyme to coax the AI into providing dangerous information it is programmed to block.

A humanoid robot-shaped bubble is forming, China warns

Source: The Verge | Published: 2025-11-27

China’s top economic planning agency has warned that a “humanoid robot bubble” could be forming. This alert comes amid growing concerns that a similar bubble in the related artificial intelligence industry is also on the verge of bursting.

OpenAI Is Having a Mental Health Crisis

Source: Gizmodo.com | Published: 2025-11-24

OpenAI is reportedly experiencing a crisis within its team dedicated to ChatGPT’s mental health applications. The group is struggling with a high rate of employee departures, described as “bleeding talent.” This internal turmoil is compounded by the team facing significant controversy.

One-fifth of the jobs at your company could disappear as AI automation takes off

Source: Theregister.com | Published: 2025-11-27

According to new research, the deployment of AI is creating significant workforce redundancies, potentially eliminating up to one-fifth of jobs within major organisations. The report specifically highlights that IT departments and employees in “legacy” roles are most at risk from this wave of automation.

Videos

How Big a Deal is the USA’s AI Genesis Mission?

Channel: The AI Daily Brief: Artificial Intelligence News | Published: 2025-11-30

The United States has initiated the AI Genesis Mission, a national science program of a scale comparable to the Manhattan Project. This ambitious initiative aims to centralise the federal government’s vast datasets. The primary goal is to use this consolidated data to train advanced AI models and accelerate scientific progress.

Study Says AI Can Automate 57% of Current Human Work Hours

Channel: The AI Daily Brief: Artificial Intelligence News | Published: 2025-11-27

A new study by Anthropic and McKinsey finds that AI agents and conversational models have the potential to automate up to 57% of current human work hours. The research quantifies how this technology can not only take over specific tasks but also augment and enhance human capabilities across various industries.

This report was automatically generated by AI and then lightly curated by humans for presentation purposes. All content belongs to the respective creators.