Big news from the llama.cpp crew: llama-server now supports speech-to-text (STT) with Gemma-4's E2A and E4A models. This means you can finally feed audio directly into your local AI instead of typing everything out. If you've been running Llama locally and wished you could just talk to it like ChatGPT, well, that's basically here now. The Gemma-4 models handle the audio processing, so your setup gets smarter without needing a separate speech recognition tool. Pretty solid upgrade for anyone building AI apps or just tired of typing.
We're announcing GPT-4 Omni, our new flagship model which can reason across audio, vision, and text in real time.
This isn't just better chatbots — GPT-4o can literally see your screen, hear your frustration, and respond instantly without the awkward text-to-speech delays
Anthropic announced on Monday (4/20) a major long-term partnership with Amazon, committing to spend over $100 billion on AWS computing power over the next decade while securing up to 5GW of computational capacity for training and deploying Claude models. The companies are also expanding their capital partnership, with Amazon investing $5 billion upfront and potentially adding up to $20 billion more based on business milestones.
5GW is enough power to run a small city, and Anthropic just locked it up for a decade — that's scarcity economics in action
OpenAI raises $122 billion in new funding to expand frontier AI globally, invest in next-generation compute, and meet growing demand for ChatGPT, Codex, and enterprise AI.
This $122B isn't just about ChatGPT — it's OpenAI betting they can replace entire software categories with AI-first solutions
OpenAI outlines the next phase of enterprise AI, as adoption accelerates across industries with Frontier, ChatGPT Enterprise, Codex, and company-wide AI agents.
OpenAI is positioning company-wide AI agents as the new normal, not just chatbots for customer service