Acoustic Dampening, Placement, and the “Rig in the Closet” Setup
Learn how to reduce noise from high-power AI workstations through placement, acoustic treatment, and proper ventilation strategies for quieter, cooler setups.
Disk Is the Contract: Inside Threlmark’s Local-First Architecture
Threlmark introduces a local-first, file-based architecture for project management that eschews databases, focusing on JSON files on disk as the single source of truth.
The Free-Download Question: When Running Your Own Model Actually Beats Paying
Analysis of when owning and operating open-weight AI models becomes more cost-effective than paying per token for API services, based on recent developments in hardware and model performance.
In 2026, the cost advantage of building your own AI workstation has diminished due to component shortages and price spikes, making prebuilt options more competitive.
Quiet GPUs for Local AI: Acoustic and Thermal Roundup
A comprehensive roundup of the quietest, coolest GPUs for local AI in 2026, focusing on acoustic performance, thermal management, and suitability for various model sizes.
When a Content Network Starts Publishing to Itself
A large publishing network is now distributing content to its own sites, causing imbalance and visibility issues, with confirmed technical causes and ongoing questions.
DeepSWE – The benchmark that made the models spread out again
DeepSWE, a new long-horizon coding benchmark, spreads out model performance differences, challenging previous benchmarks’ accuracy and revealing hidden gaps.
