9.30.2025

Claude 4.5 Sonnet: Best Coding Model In The World! Powerful + Agentic! (Fully Tested)

Claude Sonnet 4.5 is here, and it’s absolutely groundbreaking. Touted as the best coding model ever, it excels at building complex agents, using computers, and shows major gains in reasoning and math.



9.29.2025

Google's Gemini 2.5 Flash Lite is now the fastest
proprietary model

Google announced updates to Gemini 2.5 Flash and 2.5 Flash Lite, its LLMs designed for speed and efficiency, and for the application programming interface (API) to Gemini Live, its AI voice generation model for enterprise functions like customer support calls.

9.26.2025

Liquid AI offers new small, task-specific Liquid Nano models

Liquid AI, a startup pursuing alternatives to the popular "transformer"-based AI models that have come to define the generative AI era, is announcing not one, not two, but a whole family of six different types of AI models called Liquid Nanos that it says are better suited to the "reality of most AI deployments" in enterprises and organizations than the larger foundation models from rivals like OpenAI, Google, and Anthropic.

9.25.2025

Apple’s memory-saving AI breakthrough could save
enterprises millions

Apple researchers have developed a breakthrough framework that dramatically reduces the memory requirements for AI systems engaged in long conversational interactions, a development that could significantly lower costs for enterprise deployments of chatbots and virtual assistants.

9.24.2025

Why Codex Is the Beginning of New Engineering


The way we write code just changed forever. OpenAI’s latest updates to Codex aren’t just a small step forward—they’re a whole new chapter in engineering. In this video, I walk you through what’s really happening with Codex across the cloud, desktop (CLI), GitHub integrations, and even VS Code extensions.

You’ll see me experiment live: from adding playful sparkles to a homepage logo, to swapping out fonts across an app, to spinning up pull requests and letting Codex review them. Along the way, I share why this shift is about more than faster coding—it’s about scaling yourself from one developer into ten.

By the end, you’ll see the full lifecycle: firing off multiple requests, reviewing results, merging PRs, and understanding how this ties into Git workflows. This is the first real glimpse of what “new engineering” looks like—and it’s already here, for just $20 a month.



9.23.2025

China's Alibaba challenges U.S. tech giants with open source Qwen3-Omni AI model accepting text, audio, image and video


Chinese search giant Alibaba's Qwen team of AI researchers has debuted what may be its most impressive model yet: Qwen3-Omni, an open source large language model (LLM) that the company bills as the first "natively end-to-end omni-modal AI unifying text, image, audio & video in one model.

Nvidia plans to invest up to $100B in OpenAI


Nvidia announced Monday it plans to invest up to $100 billion in OpenAI as part of a deal to build out massive data centers for training and running AI models. The companies say they signed a letter of intent to deploy 10 gigawatts — enough to power millions of homes — worth of Nvidia systems to power OpenAI’s next generation of AI infrastructure.