The Effortless Trap: Productive Struggle, AI, and the Illusion of Learning
A frame-level map of the six moves a student makes when learning one idea, and where AI earns its place and where it wrecks the learning. By Mario Brcic and Stjepan Frljic.
The Power Gambit: Shadow Sovereignty and the Geometry of Delegated Control (Part 2)
Part 2 pivots from value misalignment risks to show historical alignment technologies – like ethical oaths, incentive systems, and algorithmic trust – that brought about civilizations. Next comes Seal · Re-aim · Tune, a 3-step alignment aud
The Power Gambit: Shadow Sovereignty and the Geometry of Delegated Control (Part 1)
This essay on AI misalignment risks examines delegation geometry through real-world cases, from personal failures like a focus app blocking an emergency call to civilizational threats like algorithmic radicalization. By exploring shadow sov
The Memory Wars: Why AI's Sticky Feature Is a Sovereignty Issue
Last month, my AI assistant delivered a general blindspot analysis to me during a fresh session. It gave rich insights that my biases could have otherwise hidden.
Trust, Sharing, and Strategic Risk with LLMs
At first, LLMs felt liberating—rapid ideation, boundless exploration, and a new sense of creative trust in machine capabilities. But as GenAI technologies entered deeper into operational workflows, a critical blind spot became impossible to
AI, Automation, and the Future: Opportunities and Challenges of the Coming Decade
AI Podcast Guest Appearance Several months ago, I had the pleasure of joining Tanya Ariana Bendis on the AI Searched podcast by Omnisearch. In just 18.5 minutes, we managed to explore an impressive range of topics on artificial intelligence
AI Transformation Reality Check: Doubled Productivity, Significant Cost Savings
Figure 1. AI Agents in Action AI Transformation at It From Bit We're sharing quantified impact data from AI transformation of our own software development with AI.
AI Policy: You Can Have Your Cake and Eat It Too
Faculty Council at my institution, FER, officially approved our new Responsible AI Usage Policy, a document I was proud to lead alongside an exceptional team. It represents FER's commitment to responsible innovation, ethics, and academic le
Exponential Technologies – Not Always Exponential, But Always Picking Winners!
In the 1990s, Jeff Bezos identified a once-in-a-lifetime opportunity: web usage was growing at an unprecedented 2300% annually. Recognizing this exponential growth, he started Amazon—and the rest is history.
Transcending AI’s Dalmatian Effect for Transforming the Economy and Work
AGI and jobs OpenAI defines Artificial General Intelligence (AGI) as “highly autonomous systems that outperform humans at most economically valuable work.” (Source: OpenAI charter, 2024) Their main goal is to achieve and surpass AGI. So, wh
The Limits and Opportunities of Advanced Language Models in Strategy
Our latest research, published in MDPI Entropy, explores a groundbreaking development in artificial intelligence with the potential to revolutionize strategic decision-making: the use of advanced Large Language Models (LLMs) in multi-agent
AI and Existential Risk: Unveiling the Potential and Pitfalls
This is the first post from the series Impossibility Results in AI related to the work published in ACM Computing Surveys in 2023 (link here). These series aim to present the findings in an approachable manner which may sometimes trade-off
Leading with AI: How to Blend Human Judgment with Machine Intelligence for Superior Decision-Making
Introduction In an era where artificial intelligence (AI) reshapes industries by turning vast datasets into predictive insights (see Figure 1 for adoption rates), the unique value of human intuition becomes a key question for today's leader
Navigating the Nuances: The Unseen Dynamics of AI's Existential Risk
Unraveling the Complex Interplay of Agency, Probability Inflation, and Future Implications in the Realm of Artificial Intelligence This is the second post from the series Impossibility Results in AI related to the work published in ACM Comp
Digital twins as a business opportunity and imperative – introduction
Digital twins are touted as "becoming a business imperative, covering the entire lifecycle of an asset or process and forming the foundation for connected products and services. Companies that fail to respond will be left behind".
Impossibility theorems in AI
General impossibility theorems Impossibility theorem demonstrates that a particular problem cannot be solved as described in the claim, or that a particular set of problems cannot be solved in general. The most well-known general examples a
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