For decades, enterprises reacted to shifting business pressures with stopgap technology solutions. To rein in rising infrastructure costs, they adopted cloud services that could scale on demand. When customers shifted their lives onto smartphones, companies rolled out mobile apps to keep pace. And ...

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. This is the most misunderstood graph in AI Every time OpenAI, Google, or Anthropic drops a new frontier large language model, the AI community holds its breath. ...

An autonomous lab combining OpenAI’s GPT-5 with Ginkgo Bioworks’ cloud automation cut cell-free protein synthesis costs by 40% through closed-loop experimentation.

OpenAI Frontier is an enterprise platform for building, deploying, and managing AI agents with shared context, onboarding, permissions, and governance.

Retrieval-Augmented Generation, or RAG, has become the backbone of most serious AI systems in the real world. The reason is simple: large language models are great at reasoning and writing, but terrible at knowing the objective truth. RAG fixes that by giving models a live connection to knowledge. ...

Automatic speech recognition (ASR) is becoming a core building block for AI products, from meeting tools to voice agents. Mistral’s new Voxtral Transcribe 2 family targets this space with 2 models that split cleanly into batch and realtime use cases, while keeping cost, latency, and deployment ...

NVIDIA has released VIBETENSOR, an open-source research system software stack for deep learning. VIBETENSOR is generated by LLM-powered coding agents under high-level human guidance. The system asks a concrete question: can coding agents generate a coherent deep learning runtime that spans Python ...

You have mastered model.

When building machine learning models, training is only half the journey.

Nuclear power continues to be one of the hottest topics in energy today, and in our recent online Roundtables discussion about next-generation nuclear power, hyperscale AI data centers, and the grid, we got dozens of great audience questions. These ran the gamut, and while we answered quite a few ...

MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to help you understand what’s coming next. You can read more from the series here. Every time OpenAI, Google, or Anthropic drops a new frontier large language model, the AI community holds its breath. It ...

While we were all worried about AI taking over human jobs, artificial intelligence leaped across the length of our imagination and took a seat at the helm. Till now, the main concern for employees across the globe was human workforce being replaced by AI systems. It seems the tables have turned ...