#artificial-intelligence

Yuval Noah Harari warns that human intelligence is accompanied by unique delusions, a consideration worth keeping in mind as artificial intelligence continues to advance.

The video discusses concerns that the rapid growth and valuation of artificial intelligence companies may be inflated, drawing parallels to a speculative bubble. It examines signs of overinvestment and unrealistic expectations in the AI industry, suggesting a potential market correction could occur.

The Federal Register published a policy statement addressing the suppression of accuracy in artificial intelligence systems. The document outlines concerns and potential regulatory approaches regarding AI systems that may intentionally or inadvertently produce inaccurate outputs.

Istota is described as a multi-user AI agent and personal operating system, designed to function as an operating system for the user's digital life.

A user expresses frustration with Claude's tendency to invent technical jargon, metaphors, and composite words that make interactions confusing and less straightforward.

The article argues that China under Xi Jinping is exploiting AI technology to enhance state censorship and surveillance, using advanced algorithms to suppress dissent and control information. It warns that this approach could shape global norms for AI governance if left unchecked, posing risks to democratic values and freedom of expression worldwide.

The blog post announces the winners of an essay contest on big questions about AI, featuring essays that explore topics like AI alignment, transformative AI scenarios, and the societal implications of advanced artificial intelligence. The winning entries were selected from numerous submissions for their depth and insight into these critical issues.

The Open Source AI Gap Map identifies areas where open-source AI development lags behind proprietary systems, highlighting gaps in areas like training data, compute, and evaluation benchmarks to guide community efforts.

EmTech AI 2026 explored how artificial intelligence is evolving from standalone tools into integrated platforms that orchestrate workflows across industries. Experts discussed the implications of AI platforms becoming the central infrastructure for business operations, decision-making, and innovation.

The article analyzes how AI is reshaping SaaS economics, shifting value from traditional software features to AI-native capabilities like large language models. It discusses changes in cost structures, pricing models, and competitive dynamics, noting that AI can reduce marginal costs while increasing development expenses, potentially leading to new business models and market consolidation.

The paper proposes a conceptual framework called "Engineering Artificial Supreme Idiocy" (EASI) as a counterpoint to Artificial General Intelligence (AGI), exploring the intentional design of AI systems that maximize incompetence, misunderstanding, and counterproductivity to critique dominant narratives in AI development.

Codacy introduces an AI coding maturity scale with five stages, progressing from occasional AI use to full "Loop Engineering," where AI is deeply integrated into the development lifecycle. The model helps teams assess their current AI adoption level and provides a roadmap for improving code quality, security, and developer productivity through increasingly sophisticated human-AI collaboration.

Yuval Noah Harari argues that critics who say AI is helpless outside narrow human-built environments overlook that all intelligence depends on a specific ecosystem—just as a human dropped on Mars would perish as quickly as a chess AI without electricity. He made the remarks during the 2026 Tanner Lecture on Human Values at Oxford.

A growing number of top economists are warning that artificial intelligence could lead to significant job displacement, rising inequality, and economic disruption if not properly managed, urging policymakers to take proactive measures to mitigate potential negative impacts.

Mathematicians are working to establish formal guidelines and rules for the use of artificial intelligence in their field, aiming to set standards for how AI tools should be integrated into mathematical research and practice.

The article argues that AI-generated art is fundamentally an act of curation rather than creation. It explores how artists using AI tools act more like curators or directors by selecting, refining, and guiding outputs, shifting the artistic role from making to choosing and assembling.

Giotto.ai is a Swiss AI research lab with a European focus, working on fundamental and interdisciplinary artificial intelligence research.

The author describes an experiment where they played hide-and-seek with an AI by hiding somewhere in their home and asking a language model to guess their location based on contextual clues. The AI successfully deduced the hiding spot after a series of logical questions, demonstrating how conversational AI can engage in reasoning and inference through natural dialogue.

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The author defends AI mandates in the workplace, arguing they provide structure, ensure consistent adoption, and help teams overcome old habits to drive productivity gains.

Despite advances, current AI systems are often described as "not smart" due to their lack of true reasoning and understanding. The article explores the limitations of today's large language models and discusses emerging approaches, such as neuro-symbolic AI, that aim to create more intelligent and capable artificial systems in the future.

The video explores how implementing AI solutions in various industries has, in many cases, become more costly than retaining human workers, contradicting the common expectation that automation would reduce expenses.

Prominent economists are raising concerns about the potential negative impacts of artificial intelligence, warning that it could worsen inequality, disrupt labor markets, and concentrate wealth and power among a small number of tech companies and individuals.

In a Foreign Affairs interview, Sebastian Mallaby discusses the global AI race, arguing that the intense competition between the US and China is creating a dynamic where neither side can achieve a definitive victory, leading to potential risks and instability.

The article examines the current state of agentic AI—systems that can autonomously pursue goals—and explores what capabilities and safeguards society should aim for as the technology continues to evolve.

The article argues that AI mandates—requirements for organizations to adopt or use AI tools—can be beneficial despite resistance. It contends that mandates can accelerate necessary digital transformation, ensure equitable access to AI benefits, and help organizations overcome inertia, ultimately leading to greater efficiency and innovation.

The article compares today's AI-driven economy to the Industrial Revolution's "Engels' pause," when technology enriched owners but suppressed wages. It warns that without policy intervention, AI could similarly concentrate wealth and stagnate workers' living standards. The author urges sharing AI's productivity gains broadly to avoid repeating history's inequality.

This article examines foreign influence campaigns aimed at undermining American AI development, with a focus on the "Singham Ground Game" strategy. It details how coordinated efforts from foreign actors seek to shape public opinion, regulatory outcomes, and competitive dynamics in the AI sector to disadvantage U.S. leadership.

Kevin Hartnett explores how artificial intelligence is transforming mathematical research, with AI systems like DeepMind's AlphaTensor and OpenAI's o1 model discovering new conjectures and proofs. While AI can generate insights and tackle combinatorial problems, it also raises questions about the nature of mathematical understanding and whether human intuition remains essential.

Mark Zuckerberg said that the development of AI agents is progressing more slowly than anticipated, acknowledging that the technology still faces significant hurdles before becoming widely useful.