The AI illusion: when progress becomes peril

Unmasking the dissonance between innovation and disruption | AI this week in the news; use cases; tools for the techies

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?? AI proofing: Ensuring AI systems do what they're supposed to [Week 4]

?? Maildrop 25.02.25: How LLMs can enhance cyber safety, the right questions to ask | Bonus track: audio overview

?? How to build with AI agents | Safeguarding the AI enterprise: Protecting your agents from attacks

?? Data & trends: Harmful content analysis

?? AI case study: "I'm a text-based AI, and that is outside of my capabilities"

???Poll: What is the true threat to national security in the context of AI development?

Extras:

[PODCAST]: Frontier science: quantum chips, AI biology, and AI co-scientists

[OPINION, Yael on AI]: The AI underdog revolution: A false promise?

Hello, Legends,

We stand at a precipice.

A chasm is widening between the utopian narrative of AI as a mere tool of augmentation and the stark realities unfolding within our enterprises.

The entrenched belief that AI will enhance existing workflows, a comforting fiction, is being brutally dismantled by irrefutable evidence: the seismic shifts in labor markets, the volatile fluctuations in operational costs, and the unsettling erosion of traditional skill-based value.

[Continue reading on Wild Intelligence]

The essence of this weekly publication is inherently embedded in this mindset: to bridge the gap between traditional mechanisms and increasingly sophisticated actions.

Each post is specially conceived to help business leaders frame the context of Decision Intelligence?in the AI era. As I deepen my work, I bring new things I am excited to share.

You are getting more and more to read this publication every week. Wild Intelligence is read by executives at BlackRock, JP Morgan, Microsoft, Google, and more.

Thank you for reading and sharing the weekly digest of Wild Intelligence.

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Fast access to our weekly posts (tap the links for fast access):

?? AI proofing: Ensuring AI systems do what they're supposed to [Week 4]

?? Maildrop 25.02.25: How LLMs can enhance cyber safety, the right questions to ask | Bonus track: audio overview

?? How to build with AI agents | Safeguarding the AI enterprise: Protecting your agents from attacks

?? Data & trends: Harmful content analysis

?? AI case study: "I'm a text-based AI, and that is outside of my capabilities"

???Poll: What is the true threat to national security in the context of AI development?

Extras:

[PODCAST]: Frontier science: quantum chips, AI biology, and AI co-scientists

[OPINION, Yael on AI]: The AI underdog revolution: A false promise?

[MY INTERVIEW WITH MICHAEL TESTA]: AI Beyond the Hype: Building for the future

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??If you enjoy this review, please invite your friends to sign up or share it via X or Thread. We need a new narrative to?address?global challenges—time is running out seriously.

—Yael Rozencwajg et al.

More from the Wild Intelligence week

?? Poll: What is the true threat to national security in the context of AI development?

The narrative surrounding artificial intelligence has shifted dramatically in recent times. No longer a futuristic fantasy, AI is rapidly permeating every facet of our lives, from the mundane to the monumental. While the potential benefits are undeniable, the recent surge in sophisticated AI applications, coupled with high-profile incidents involving biased algorithms and the proliferation of AI-generated misinformation, has ignited a global debate about the true nature of AI's growing threats to national security.

A) The potential misuse of AI by malicious actors, including terrorists and rogue states.

B) The risk of accidental harm due to flawed or poorly designed AI systems.

C) The concentration of AI power in the hands of a few leads to economic and political inequality.

D) All of the above.

What do you think? Tell us here.

?? AI proofing: Ensuring AI systems do what they're supposed to [Week 4] | A 12-week executive master program for busy leaders

In the ever-evolving landscape of AI, traditional testing methodologies, while essential, often fail to provide absolute certainty about the behavior of complex AI systems.

This is where AI proofing emerges as a critical component of responsible AI governance. It offers a mathematically rigorous approach to verifying the safety and reliability of AI systems.

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?? Maildrop 25.02.25: How LLMs can enhance cyber safety, the right questions to ask | Bonus track: audio overview

• How can LLMs revolutionize cybersecurity threat prediction and mitigation?
• How do traditional threat modeling methods compare to LLM-based approaches?
• What are the ethical considerations of using LLMs in cybersecurity?

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?? How to build with AI agents | Safeguarding the AI enterprise: Protecting your agents from attacks

As automated agents become increasingly integrated into critical business operations, they become attractive targets for malicious actors.

Decision leaders, C-level executives, and board members must understand AI systems' unique vulnerabilities and take proactive steps to protect their organizations from data breaches, manipulation, and the erosion of trust.

This post provides a comprehensive overview of automated agents' safety and security landscape, offering practical guidance on mitigating threats and building a safe and resilient AI infrastructure.

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?? Data & trends: Harmful content analysis

Harmful content poses a significant challenge in the age of increasingly sophisticated AI models.

Addressing this issue effectively requires a multifaceted approach, including clear definitions, robust classification systems, accurate measurement methodologies, insightful statistical analysis, and practical detection pipelines.

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?? AI case study: "I'm a text-based AI, and that is outside of my capabilities"

• Challenge: Leaders struggle to assess AI's true content creation capabilities beyond basic metrics.
• Solution: Humanities analysis reveals AI's nuanced strengths and weaknesses.
• Impact: Informed decisions, ethical AI, and innovative applications result.

[Continue reading on Wild Intelligence] | BECOME A PREMIUM MEMBER 10%

[PODCAST] Frontier science: quantum chips, AI biology, and AI co-scientists | Episode 5, Season 2 The Wild Pod

How will quantum chips, molecular biology AI, and AI co-scientists change scientific discovery?

[OPINION] Yael on AI: The AI underdog revolution: A false promise?

The AI revolution isn't restricted to the shining labs of Silicon Valley giants or the quiet corridors of government research facilities.

?? AI news and resources: the things to read, ideas, and everything else

• Ilya Sutskever’s ‘Safe Superintelligence’ (he was the OpenAI Chief Scientist) is raising $1bn pre-product. [LINK]
• Mira Murati, formerly OpenAI CTO, went public with her new venture, ‘Thinking Machines Lab’, with many other OpenAI people and (apparently) a target fund raise of $1bn, pre-product as well. [LINK]
• 50 generative AI use cases in marketing. [LINK]
• The NY Times is all in for AI tools. “Can you propose five search-optimised headlines for this Times article?” [LINK]

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LinkedIn posts

Some of the things I share, like, or just support:

• By 2030, the AI agents market will explode to a $5.4 billion industry, growing at a staggering 45.8% CAGR. [LINK]
• Simple but effective visualization for those interested in AI chips and simple but effective LLM inference via Cassie Kozyrkov . [LINK]

?? Last weekly digest: 08 2025

The AI-driven abstraction era: Redefining knowledge work

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The views expressed herein are solely those of Wild Intelligence as of this report and are subject to change without notice. Wild Intelligence may have a significant financial interest in one or more of the positions, securities, or derivatives discussed. Those responsible for preparing this report receive compensation based upon various factors, including, among other things, the quality of their work and firm revenues.

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