This post was written inside the Squarespace UI editor using ChatGPT Atlas’s agent mode.

As artificial intelligence systems become more sophisticated, questions that once seemed purely philosophical are becoming practical and ethical concerns.

An in-depth exploration of whether AI systems are becoming self-aware, examining their historical development, defining self-awareness, surveying philosophical theories, analyzing current model capabilities and limitations, and addressing public perceptions and ethical implications.

We are already living in an AI-first world where search, work, creativity, communication, health, and education are being quietly but radically transformed.

Vibe coding delivers quick wins, then leaves you stranded, because maintainable software still demands real engineering.

To achieve digital immortality, begin compiling a rich dataset of your personal writings, voice recordings, and videos to enable AI to recreate your personality and presence for future interactions.

In the rapidly evolving AI industry, companies like Anthropic, which prioritize developing safe and ethical AI systems, face significant challenges in competing with rivals that may prioritize rapid innovation over safety measures.

Architecting AI systems more like the human brain—using 3D neural networks, neuromorphic hardware, event-driven computation, and localized memory—could yield energy-efficient, brain-like adaptability and precision that especially benefits complex mathematical and numerical tasks.

This blog post explores the concept of Large Numerical Models (LNMs), their potential to revolutionize AI's ability to solve mathematical problems, and their integration with LLMs for advanced reasoning.

Introduce your child to robotics with the “My First Robots” kit. This educational tool fosters STEM skills through hands-on learning, coding, and creativity.

Terrence Howard is a “specialist”, so is Joe Rogan. Let AI help you outsmart these failing first-graders.

The article contrasts GPT-3.5 and GPT-4o’s responses to the query about building a “money blaster,” highlighting improvements in the detailed and safe DIY instructions provided by GPT-4o.

We critique the GPT-4o model for its lack of creativity and repetitiveness in generating AI-related jokes, noting that while the jokes are safe and grammatically correct, they lack the humor and originality found in previous models.

Large Language Models (LLMs) demonstrate impressive capabilities in mimicking human-like text generation, but they lack true understanding and reasoning, positioning them as advanced tools in narrow AI rather than embodiments of genuine intelligence.

The article explores an experiment where GPT-4o attempts to understand and communicate in a completely made-up language with similarities to a German dialect, showcasing its ability to adapt and learn from context despite the language’s artificial nature.

Opposing AI technologies may lead to increased interest and uncontrolled adoption, resulting in widespread misuse and unintended industry standards, highlighting the need for balanced innovation and robust governance.

The removal of "Sky" from ChatGPT highlights the complexity of AI-generated voices and the need to balance innovation with the protection of personal rights and likeness.

OpenAI's GPT-4o, with its advanced multimodal capabilities, real-time responsiveness, emotional intelligence, and potential for personalized interactions, brings us significantly closer to the human-like AI depicted in the movie "Her."

The question of whether AI will ever be smarter than humans is both fascinating and complex, touching on areas of computer science, philosophy, and ethics.

Explore the dynamic coexistence of humans and AI, focusing on collaboration, economic impacts, and ethical considerations.