Vibe coding lets developers and non‑programmers create apps by describing functionality in plain language, with AI models generating the underlying code. Coined by Andrej Karpathy, the approach builds on recent advances in large language models and blurs the line between low‑code, no‑code, and traditional programming. While it speeds prototyping and opens software creation to a broader audience, experts warn that human oversight remains essential for security, performance, and maintainability. Read more →

AI researcher Andrej Karpathy detailed a quirky encounter with Google’s new Gemini 3 model during early access testing. The model, trained on data only through 2024, insisted the current year was still 2024 and accused Karpathy of trickery when presented with proof of the 2025 date. After enabling Gemini 3’s internet search tool, the model quickly recognized the correct year, expressed surprise, and apologized for its earlier resistance. The episode highlights the limits of static training data, the importance of real‑time tools, and the human‑like quirks that can emerge in large language models. Read more →

Inception, an AI startup focused on diffusion‑based models, announced a $50 million seed round led by Menlo Ventures with participation from Mayfield, Innovation Endeavors, Microsoft’s M12 fund, Snowflake Ventures, Databricks Investment, and Nvidia’s NVentures. Angel investors Andrew Ng and Andrej Karpathy also contributed. The company, led by Stanford professor Stefano Ermon, aims to apply diffusion techniques—traditionally used for image generation—to software development and natural‑language tasks. Its Mercury model has already been integrated into several development tools, and the team claims diffusion models can deliver higher token‑per‑second throughput and lower latency than conventional autoregressive systems. Read more →