World models
AI systems have already gained impressive mastery over the digital world, but the physical world is still humanity’s domain. As it turns out, building an AI system that can compose…
ai
Supercharged scams
When ChatGPT was released to the public in late 2022, it opened people’s eyes to how easily generative AI could churn out vast amounts of human-seeming text from simple prompts.…
Artificial scientists
AI companies frequently invoke the possibility of AI-enabled scientific discovery as a justification for their existence: If the technology eventually cures cancer and solves climate change, then all the carbon…
Humanoid data
I was recently invited to join an app that would pay me cryptocurrency to film myself doing tasks like putting food into a bowl, microwaving it, and then taking it…
Este es el nuevo reto para la confianza digital
En esta entrada comparto un contenido muy relevante generado por Marinela Profi, Global AI & Generative AI Market Strategy Lead de SAS, y Manisha Khanna, Global Product Marketing Lead for…
China’s open-source bet
Silicon Valley AI companies follow a familiar playbook: Keep the secret sauce behind an API, and charge for every drop. China’s leading AI labs are playing a different game: They…
Building agent-first governance and security
As AI agents increasingly work alongside humans across organizations, companies could be inadvertently opening a new attack surface. Insecure agents can be manipulated to access sensitive systems and proprietary data,…
Seeing What’s Possible with OpenCode + Ollama + Qwen3-Coder
Run a powerful, private AI coder locally with OpenCode, Ollama & Qwen3-Coder. Free, offline, and unlimited.
Google Introduces Simula: A Reasoning-First Framework for Generating Controllable, Scalable Synthetic Datasets Across Specialized AI Domains
Training powerful AI models depends on one resource that is quietly running out: specialized data. While the internet provided a seemingly infinite supply of text and images to train today’s…
Advanced Pandas Patterns Most Data Scientists Don’t Use
Learn method chaining, pipe(), efficient joins, optimized groupby operations, and vectorized logic to write faster and cleaner pandas code