LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

DSpark can make decoding faster, but acceptance quality still determines how much speed the system actually realizes.

The AI industry has been focused on answering, "Could the industry build enough compute fast enough to keep up with demand?" ...

OpenAI and Broadcom today unveiled Jalapeño, OpenAI’s first Intelligence Processor: an accelerator architected around ...

You need intelligent routing, not a homogeneous GPU farm.​ The biggest failure mode isn't picking the wrong hardware. It's treating model deployment like a batch job instead of a service release. Here ...

Artificial Intelligence chip startup Etched has secured $800 million in total funding, positioning itself to ship inference-focused silicon to customers this ...

Artificial intelligence has moved beyond proving it works. The challenge today is producing enough computing power to satisfy ...

Un0 is an image-generation system tool that shows for the first time how the company's technology can replicate conventional ...

The research project promises more efficient long-term recall by organizing knowledge around abstractions and cue-based ...

Looped language model training cannot control hidden-state norm growth because RMSNorm normalizes scale away before the loss ...