Open-Source LLMs
Whether you can download the weights decides who controls the model: you can fine-tune it, run it on your own GPUs and keep it offline — in exchange for running inference, upgrades and incident response yourself.
Whether you can download the weights decides who controls the model: you can fine-tune it, run it on your own GPUs and keep it offline — in exchange for running inference, upgrades and incident response yourself.
Sakana AI published MASS on October 11, 2026, a method developed with researchers at UC Berkeley that gives recursive self-improvement a new source of...
Mosi Intelligence closed a Pre-A round of more than RMB 1 billion, in news that surfaced on October 12, 2026. According to The Paper's report that day...
Jan is an open-source desktop application built around running large models offline on your own computer, maintained by the Menlo Research team, and a...
OpenCode is worth installing, provided you are willing to configure models yourself and pay the bills yourself. For developers who do not want to be t...
Nvidia is in talks over Reflection AI, a company it already knows well: on October 10, 2026, the Financial Times reported, citing people with direct k...
Distillation was put on the witness stand on October 9, 2026, in a paper from Redwood Research, which empirically tested two ways of using distillatio...
Project Beacon was announced by Baseten on its official blog on October 9, 2026, in partnership with Goodfire AI, with the goal of building proactive ...
Mellum2.1, released by JetBrains on October 8, 2026, is an open model built to work inside coding agents: it can explore a codebase, edit files and ch...