bf16
bf16 at Beyond Market Intelligence is a file of 2 stories. The newest of them: “Smaller model, sharper reasoning: 44M parameters trained from scratch on CPU” and “Your spreadsheet lens still works after a model upgrade.”. Three weeks ago, SHADOW-250M proved a 60 MB model could retrieve records from disk. A Jacobian lens fitted to one checkpoint is not supposed to work on the next model in the line. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every bf16 story on Beyond Market Intelligence, newest first.
Smaller model, sharper reasoning: 44M parameters trained from scratch on CPU
Three weeks ago, SHADOW-250M proved a 60 MB model could retrieve records from disk. Now, SHADOW-50M pushes the same idea further: 44M parameters, 19.8 MB, and roughly 1,900 tokens per second on a laptop CPU. It reasons over what it retrieves, runs arithmetic through a fixed circuit, and answers from memory without re-reading source text. It loses to larger models on standard benchmarks, and the author says so plainly.
Your spreadsheet lens still works after a model upgrade.
A Jacobian lens fitted to one checkpoint is not supposed to work on the next model in the line. That is the assumption, and it went untested until now. One researcher applied the published Qwen3.6-27B lens directly to Qwen3.8-27B, 113 days newer. The latent entity readout held its rank, even improving at mid-depth. Steering directions still found their target concept. Transfer is measurable, not perfect. That suggests monitoring pipelines can test their lenses instead of blindly refitting.