- A new Nature paper, “Automated discovery of fundamental variables hidden in experimental data,” was highlighted; it uses neural networks to infer latent physical variables directly from raw video of dynamical systems, moving beyond the earlier symbolic-regression approach that required pre-processed sensor data.

- Hod Lipson’s 2009 “Eureqa” symbolic-regression tool was recalled: it used genetic algorithms to evolve concise mathematical models from CSV-style datasets, but later became a commercial SaaS product (now absorbed into DataRobot/Nutonian) and is no longer open-source.

- Channel members shared archived binaries of the last free Linux builds of Eureqa (0.99.7, 32- and 64-bit) and lamented the lack of a Gentoo package or any FOSS alternative.

- A Nature Food paper on “Precision cooking for printed foods via multiwavelength lasers” was posted, describing how tunable lasers can achieve voxel-level thermal control in 3-D-printed meals.

- Discussion of the implosion of the “911” proxy-service botnet referenced a KrebsOnSecurity article, with commentary noting the irony that a cyber-crime breach ultimately dismantled the cyber-crime network.