The Download: AI Bottleneck Debates and BCI Trials Take Off
Plus: Amazon workers who backed data center limits face potential termination.
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.
A Startup Claims It Broke Through a Bottleneck That's Holding Back LLMs
AI startup Subquadratic came out of stealth last month with a huge claim: it had solved a mathematical bottleneck that has held back large language models for almost a decade. In 2026, as LLMs become increasingly central to industries from healthcare to finance, the need for more efficient models has never been more pressing.
The purported breakthrough comes from slashing the number of computations transformers need to carry out to generate answers. The result is a faster and cheaper LLM that uses far less energy than any other model on the market—a critical advantage as concerns over AI's environmental impact grow.
Many experts remained skeptical—but Subquadratic has started to share the receipts. Their early results suggest that their approach might be worth paying attention to, especially as the industry searches for ways to scale AI without prohibitive costs.
Here's how the system works—and why some researchers still aren't convinced.
—Will Douglas Heaven
Brain-Computer Interface Trials Are Taking Off
—Jessica Hamzelou
This week, I covered the latest developments in brain-computer interface (BCI) trials, which are accelerating in 2026 as regulatory approvals expand and new implantable devices move into human testing. These trials promise to restore mobility and communication for individuals with severe neurological conditions, marking a significant leap from earlier proof-of-concept studies.