Everyone Has Given Up on AI Safety, Now What?

The End of the AI Safety Debate For years, a passionate contingent of researchers, ethicists, and policymakers warned about the potential dangers of unchecked artificial intelligence development. They argued about p(doom) probabilities, AI alignment strategies, and regulations that could prevent catastrophe. But as of now, that conversation has all but collapsed. The frontier AI companies—OpenAI, …

The rise of browser-use agents: Why Convergence’s Proxy is beating OpenAI’s Operator

A new wave of AI-powered browser-use agents is emerging, promising to transform how enterprises interact with the web. These agents, including OpenAI’s Operator and Convergence’s Proxy, can autonomously navigate websites, retrieve information, and even complete transactions – but early testing reveals significant gaps between promise and performance between these leaders. While consumer examples like ordering …

RKT LegacyFlow

How Rocket Companies modernized their data science solution on AWS

This post was written with Dian Xu and Joel Hawkins of Rocket Companies. Rocket Companies is a Detroit-based FinTech company with a mission to “Help Everyone Home”. With the current housing shortage and affordability concerns, Rocket simplifies the homeownership process through an intuitive and AI-driven experience. This comprehensive framework streamlines every step of the homeownership …

1 GcYLFfO.max 1000x1000 1

Optimizing image generation pipelines on Google Cloud: A practical guide

Generative AI diffusion models such as Stable Diffusion and Flux produce stunning visuals, empowering creators across various verticals with impressive image generation capabilities. However, generating high-quality images through sophisticated pipelines can be computationally demanding, even with powerful hardware like GPUs and TPUs, impacting both costs and time-to-result. The key challenge lies in optimizing the entire …