37 related articles

Understand how AI, machine learning, deep learning, large models, and generative AI relate to each other. From Deep Blue to ChatGPT, learn how Transformer architecture gave rise to LLMs.

A critical examination of research on AI consciousness and rights, exploring the possibility of post-human collective consciousness emergence, methodological limitations, and implications for AI ethics governance.

Google announces Gemini AI and Pixel partnerships with five top football clubs, using real-time data analysis and smart Q&A to transform matchday fan experiences.

nenspace proposes an "extended mind" rather than "second brain" philosophy, with lo-fi-inspired restrained AI integration combining working memory, tasks, notes, habits, and logbook to reduce cognitive load.

Can computer scientists build a brain? Exploring bottom-up neural simulation vs. top-down functionalist AI, the distinction between intelligence and consciousness, and the realistic boundaries of artificial brain development.

Cambridge's youngest Black professor died after facing plagiarism allegations, sparking debate on due process in integrity reviews, scholar mental health, and originality in the AI era.

Exploring AI emotions, consciousness emergence, and human-machine companionship through a sci-fi short film, examining functionalism vs. phenomenology perspectives on machine emotions and AI alignment.

When Redditors use gradient descent as a metaphor for dating, AI jargon officially invades internet culture. Exploring how ML terms went mainstream.

U.S. Democrats propose taxing AI companies to fund job creation. This article analyzes the proposal's logic, challenges in defining taxable entities, innovation-regulation balance, and broader AI-era redistribution debates.

RLC (Reinforcement Learning Conference) is a dedicated RL academic conference, yet far less known than NeurIPS or ICML. This article analyzes why and explores its future potential in the RLHF era.

August 4, 2026 is the setting date of Bradbury's 1950 story "There Will Come Soft Rains." Its depiction of an automated home running without humans resonates deeply with today's AI automation debates.

Hugo Award winner Charlie Stross refuses to use AI in his writing, citing copyright risks, creative value, and technical limitations—a professional author's deliberate stance on generative AI.

If digital computers can produce consciousness, does it reside in software algorithms or physical hardware? Exploring causal closure, substrate independence, and implications for AI consciousness.

A beginner-friendly guide clarifying AI, machine learning, deep learning, and LLMs — tracing the evolution from Deep Blue to AlphaGo, ChatGPT, and DeepSeek.

How to evaluate AI/ML books rationally? Use these 5 dimensions—content depth, code quality, currency, community reputation, and companion resources—to choose wisely.

Can AI be conscious? Exploring GPT-4o voice model technology and philosophy — the Problem of Other Minds, Descartes, and what makes consciousness real.
AI as a Family Member: The Promise and…
AI is entering family life in unprecedented ways — from elder-care robots to emotional companions for solo dwellers. This article examines the real value, risks, privacy concerns, and ethics of AI emotional companionship.

New to AI? This guide clarifies AI, machine learning, deep learning, and LLMs, traces milestones from Deep Blue to DeepSeek, and maps out China's LLM landscape.
Indian Scientists Create Most Detailed…
Indian scientists have completed the most detailed 3D human brainstem atlas ever, with sub-millimeter precision covering dozens of neural nuclei — advancing neurosurgery, Parkinson's research, and AI brain modeling.

A beginner's guide to AI large models: clarify the relationships between AI, ML, deep learning, and LLMs, trace the journey from Deep Blue to ChatGPT and DeepSeek, and explore China's model landscape.