The day the market priced in efficiency
Nvidia lost roughly $600 billion of market value in a session. The trigger was a paper about training costs.
tech, developers, and the code underneath
older dispatches from the README archive.
Nvidia lost roughly $600 billion of market value in a session. The trigger was a paper about training costs.
OpenAI, Oracle, SoftBank and MGX announce an infrastructure vehicle. The real constraint isn't chips — it's power and steel.
Open weights, a published training recipe, and API pricing that reads like a typo. The reasoning-model moat just got a lot shallower.
Native S3 and Postgres clients, a real Node compatibility push, and a bundled package manager that keeps getting faster.
RTX 50-series, a desktop supercomputer named DIGITS, and an entire show floor that decided AI is a hardware category now.
The next-generation trait solver goes live for coherence checking. Most people will never notice, which is the point.
2025 opens with open weights good enough to matter and consumer hardware finally sized for them.