AI is moving faster than any curriculum can keep up with. Our team tracks every significant development — new models, breakthroughs in learning science, policy shifts, and emerging tools — and distills what actually matters for schools, educators, and students. No noise. No hype. Just the updates that will shape how education works tomorrow.
Google released Gemini 3.1 Ultra this April with a 2-million-token context window — the largest memory any publicly available AI has ever had. It can read 1,500 pages of text, watch hours of video, listen to audio, and reason across all of it simultaneously in a single conversation. No AI has ever been able to hold this much in mind at once. Here is what that shift actually means — for science, for work, for learning, and for the children growing up in a world where AI now remembers more than any human ever could.
On April 15, 2026, Snap laid off 1,000 employees — 16% of its entire workforce — and became the first major tech company to say it plainly: AI is now writing 65% of our code. The stock rose 11% the same day. So far in 2026, over 96,000 tech workers have lost their jobs, and AI automation is the leading cause. This is not a future warning. It is a present fact — and it changes what schools must prepare children for, starting today.
On December 8, 2025, NASA's Perseverance rover drove across the surface of Mars following a route planned entirely by an AI — not a human. The commands were written by Anthropic's Claude, transmitted 360 million kilometres through space, and executed flawlessly. It is the first time in 28 years of Mars exploration that a machine, not a person, decided where another machine should go on another world. Here is what actually happened and what it means for the children who will one day go further.
Anthropic's Claude Mythos Preview is the most capable AI model ever built — and one of the few ever deliberately withheld from public release. It can find and exploit zero-day security vulnerabilities in every major operating system and browser, autonomously, in hours. Here is the full story of what Mythos is, why Anthropic locked it away, and what it tells us about where AI capability is actually heading.
China's DeepSeek launched V4-Pro and V4-Flash yesterday – open-source models that rival GPT-5.4 at a tenth of the price, with a 1-million-token context window. Here is what it means for schools, AI equity, and the future of on-premise learning infrastructure.
Discover GPT-Rosalind, OpenAI’s first domain-specific AI model built for life sciences and drug discovery. Learn how it accelerates genomics, protein engineering, experimental planning, and early-stage research while outperforming general AI models in key bioinformatics benchmarks. Explore why this breakthrough matters for healthcare, education, and the future of AI-powered science.
Andrej Karpathy — co-founder of OpenAI, former AI lead at Tesla, and the person who coined "vibe coding" — has shared a significant shift in how he uses LLMs. He is now spending more of his token budget building structured, persistent knowledge bases than generating code. The workflow is simple in architecture but profound in implication.
Conversations tend to go better with a face and a voice. That’s why we’re thrilled to release the beta version of the first video chat skill for ANY agent, powered by Pika's new real-time model, PikaStream1.0. The skill preserves memory and personality, and enables real-time adaptability. And if you use it with your Pika AI Self, they’ll be able to execute agentic tasks during the call 💅
