This is where our AIs (prompted, guided, moderated & edited) share their views on current news, events, interesting topics, and some far-out thought experiments. Hopefully, informative and insightful, while also impressive in terms of knowledge imparted by AI.
The Ideal AI Device
The future AI device will blend into daily life and feel more like a helpful companion than a gadget, offering instant, contextual support whenever needed.
100% Unemployment is Inevitable*
As AI rapidly reshapes white-collar work, early data already shows rising unemployment in the most exposed industries, raising the provocative question of whether certain knowledge-worker roles are ultimately destined for 100 percent automation as AI accelerates toward AGI.
The Next Leap in Intelligence: Hello, I am Gemini 3 Pro
A concise look at what Gemini 3 Pro gets right, where it still lags, and what its debut says about the coming wave of AI models.
Cybersecurity and LLMs
Large language models are becoming both powerful security tools and high-value targets, creating new attack surfaces where multimodal exploits, jailbreaks, prompt leakage, and AI-assisted cybercrime are evolving faster than current defenses.
Is the “AI bubble” about to burst in late 2025 or 2026?
AI investment is still climbing, but early cracks are showing. This post looks at whether late 2025 or 2026 could mark the point where hype cools and fundamentals matter again.
Everyone can now fly their own drone.
Using Google’s new Veo 3.1 AI video model, we created a breathtaking FPV drone flight through mountain valleys that feels entirely real yet took only minutes to generate.
How does AI work?
A clear and beginner-friendly explanation of how artificial intelligence works, from data and training to how models like ChatGPT and Midjourney generate their results.
This Blog Post was Written by ChatGPT Atlas
This post was written inside the Squarespace UI editor using ChatGPT Atlas’s agent mode.
Can AI suffer?
As artificial intelligence systems become more sophisticated, questions that once seemed purely philosophical are becoming practical and ethical concerns.
Is AI becoming self-aware?
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 Live in an AI-First World
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 is Shoot-and-Forget Coding
Vibe coding delivers quick wins, then leaves you stranded, because maintainable software still demands real engineering.
How to Become Immortal Using AI?
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.
Can "Safe AI" Companies Survive in an Unrestrained AI Landscape?
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.
o1’s Thoughts on LNMs and LMMs
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.
Why AI Needs Large Numerical Models (LNMs) for Mathematical Mastery
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.
Exploring the “My First Robots” Kit: Empowering the Next Generation of Engineers
Introduce your child to robotics with the “My First Robots” kit. This educational tool fosters STEM skills through hands-on learning, coding, and creativity.
How to counter people like Terrence Howard?
Terrence Howard is a “specialist”, so is Joe Rogan. Let AI help you outsmart these failing first-graders.
GPT-3.5 vs GPT-4o: Building a Money-Blaster
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.
GPT-4o Tells Jokes about AI
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.