Tootfinder

Ah, muito bem, muito bem. O Bridgy Fed agora manda-nos as respostas dos tipos que exigem login para se ver o que escrevem no Bluesy.
Era necessšrio, de facto.

Since it was relevant to a discussion I just had on here and is something most people probably haven't thought about much (unless you've taken one of a handful of philosophy classes), I thought I'd try to lay out a key piece of Descartes' Meditations (#philosophy

Indian IT company Persistent Systems offers to acquire its Germany-based peer Nagarro for $1.45B; Indian IT companies are ramping up M&A as AI reshapes growth (Sayan Chakraborty/Nikkei Asia)
https://asia.nikkei.com/business/technolog…

Indian IT firms ramp up acquisitions as AI reshapes growth
Smaller firms in particular target large contracts as clients consolidate vendors

Sky strikes a £2.1B output deal with ITV Studios, ITV's thriving production arm, until 2032; ITV Studios is not part of the acquisition (Deadline)
https://deadline.com/2026/07/sky-acquires-itv-love-island-1236973761/

Sky To Takeover ITV In $2.1B Deal That Dramatically Reshapes British Television
Sky has finally sealed a deal to acquire ITV's television network operations, putting it in charge of hit series including 'Love Island.

Rocket Lab to acquire #Iridium in $8bn deal that reshapes space communications market: https://aerospaceglobalnews.com/news/rocket-lab-iridium-acquisition-space-communications/ - if completed, the deal would combine Rocket Lab’s launch, satellite manufacturing and space systems capabilities with Iridium’s global low Earth orbit communications network, L-band spectrum and established customer base.

Sources: marketing tech startup AppsFlyer raised a $1B Series E at a $2.7B post-money valuation; Moloco, Google, Meta, and Unity acquire minority stakes (Kerry Flynn/Axios)
https://www.axios.com/2026/06/22/appsflyer-billion-moloco-google-meta-unity

AppsFlyer raises $1B from Moloco, Google, Meta and Unity
Four major ad platforms are betting on independent measurement as AI reshapes digital advertising.

Sources: marketing tech startup AppsFlyer raised a $1B Series E at a $2.7B post-money valuation; Moloco, Google, Meta, and Unity acquire minority stakes (Kerry Flynn/Axios)
https://www.axios.com/2026/06/22/appsflyer-billion-moloco-google-meta-unity

AppsFlyer raises $1B from Moloco, Google, Meta and Unity
Four major ad platforms are betting on independent measurement as AI reshapes digital advertising.

🇺🇦 #NowPlaying on KEXP's #SoundsOfSurvivance
Electric Wire Hustle:
🎵 Chaser
#ElectricWireHustle
https://bbemusic.bandcamp.com/track/chaser-2
https://open.spotify.com/track/1r8zPC8lU7lcKL46gxIc04

Estimating stellar metallicities from Gaia DR3 XP data using LAMOST DR10
Divyansh Srivastava, Andrzej Niedzielski, Rodolfo Smiljanic
https://arxiv.org/abs/2607.18707 https://arxiv.org/pdf/2607.18707 https://arxiv.org/html/2607.18707
arXiv:2607.18707v1 Announce Type: new
Abstract: Gaia DR3 provides astrophysical parameters for hundreds of millions of stars, but the metallicities [M/H] from its GSP-Phot module suffer from systematic biases. We estimate stellar metallicities from Gaia DR3 data using the homogeneous spectroscopic iron abundances [Fe/H] of LAMOST DR10 as training labels. We cross-matched LAMOST DR10 with Gaia DR3 and trained a gradient-boosted decision-tree regressor (XGBoost) on 1.20 million AFGK stars using only Gaia-derived inputs and proxies. We validated the estimates on held-out LAMOST stars, GALAH DR4, APOGEE DR17, and 46 open clusters, and applied the model to measure the radial metallicity gradient of the Milky Way disk. On the held-out test set, the model achieves a mean absolute error of 0.052 dex and $R^2=0.94$ with negligible bias, compared with 0.242 dex for GSP-Phot on the same stars. The estimates transfer well to external surveys, with mean absolute errors of 0.066 dex for GALAH and 0.068 dex for APOGEE. For open clusters, the median difference between our estimated [Fe/H] and spectroscopic values is 0.041 dex, smaller than both GSP-Phot (0.248 dex) and a previous APOGEE-trained XGBoost model (0.067 dex). Applied to the Galactic disk, our model recovers a broken thin-disk radial gradient, with inner and outer slopes of $ 0.119$ and $-0.058\,\mathrm{dex\,kpc^{-1}}$, respectively, and a break near 5.9 kpc, as well as an open-cluster gradient of $-0.066\,\mathrm{dex\,kpc^{-1}}$; both agree with previous high-resolution spectroscopic studies. Our [Fe/H] estimates are accurate to 0.05-0.07 dex for AFGK stars with $[\mathrm{Fe/H}]\gtrsim-2.5$; below this limit, the predictions should be treated as lower bounds. The catalogue and trained model are publicly available on Zenodo and are suitable for chemical studies of the Milky Way.
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