Tootfinder

@… @… a checkpoint can be useful in some situations.
zpool-checkpoint(8)
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Great, now Infuse and Jellyfin are arguing which is resulting in Infuse no longer getting updated from the Jellyfin library. I'm pretty sure it's from the update to Jellyfin 10.11.2...unfortunately I don't think there's a ton that can be done on my side except wait for an update to fix things.
```
[2025-11-14 22:31:48.195 00:00] [ERR] Error processing request. URL "GET" "/InfuseSync/Checkpoint/fba3288a4e5a46aa95cdf23c982eb948/UpdatedItems".

How does an AI Weather Model Learn to Forecast Extreme Weather?
Rebecca Baiman, Elizabeth A. Barnes, Ankur Mahesh
https://arxiv.org/abs/2509.10639 https://…

How does an AI Weather Model Learn to Forecast Extreme Weather?
In a warming climate with more frequent severe weather, artificial intelligence (AI) weather models have the potential to provide cheaper, faster, and more accurate forecasts of high- impact weather events. To realize this potential, there is a need for more research on how models learn extreme events and how that learning might be improved. We investigate how a spherical Fourier neural operator model (SFNO) learns extreme weather by saving every checkpoint throughout training and analyzing a c…

MuFASA -- Asynchronous Checkpoint for Weakly Consistent Fully Replicated Databases
Raaghav Ravishankar, Sandeep Kulkarni, Nitin H Vaidya
https://arxiv.org/abs/2510.06404 https:/…

MuFASA -- Asynchronous Checkpoint for Weakly Consistent Fully Replicated Databases
We focus on the problem of checkpointing in fully replicated weakly consistent distributed databases, which we refer to as Distributed Transaction Consistent Snapshot (DTCS). A typical example of such a system is a main-memory database that provides strong eventual consistency. This problem is important and challenging for several reasons: (1) eventual consistency often creates anomalies that the users do not anticipate. Hence, frequent checkpoints to ascertain desired invariants is highly bene…

Instability in Downstream Task Performance During LLM Pretraining
Yuto Nishida, Masaru Isonuma, Yusuke Oda
https://arxiv.org/abs/2510.04848 https://arxiv.o…

Instability in Downstream Task Performance During LLM Pretraining
When training large language models (LLMs), it is common practice to track downstream task performance throughout the training process and select the checkpoint with the highest validation score. However, downstream metrics often exhibit substantial fluctuations, making it difficult to identify the checkpoint that truly represents the best-performing model. In this study, we empirically analyze the stability of downstream task performance in an LLM trained on diverse web-scale corpora. We find …

this is an military christmas checkpoint. explain ur smolness and submit to boop immediate
#Greyhounds #AdoptDontShop

🇺🇦 Auf radioeins läuft...
Bilderbuch:
🎵 Checkpoint (Nie Game Over)
#NowPlaying #Bilderbuch
https://open.spotify.com/track/6ICPQARHre4MjKSPaKCmII

This summer, Mikhail Loshchinin set out for Russia on a motorcycle with German plates, reaching the border in Latvia on July 1.
At the Ubylinka checkpoint on the Russian side, he presented his Russian passport.
According to his mother, Olga, he didn’t use his Belgian passport because of the urgency of the trip and to avoid needing a visa.
Russian border guards examined Loshchinin’s phone and likely discovered his many contacts in Ukraine.
After holding him for several…

Belgian-Russian dual citizen charged with treason after trying to visit father in St. Petersburg following a heart attack
A 48-year-old man with dual Russian and Belgian citizenship has been charged with treason in Russia following an attempt to visit his father, who recently suffered a heart attack. Mikhail Loshchinin’s family is scattered across Europe. He has lived in Germany for the past several years, working as a database administrator in Luxembourg. His mother is in Poland, his father is in St. Petersburg, and his sister is a Ukrainian citizen. Mikhail also has many friends in Ukraine, i…

Please help Nour and her kids, if you can.
They are stuck in North Gaza.
A message I got from her on Signal, just now: “The situation is getting worse. The tanks are approaching the checkpoint, and there are preparations to close the road. My family and I cannot evacuate due to lack of money, and our lives are hanging in the balance. Please help me and my daughters. We haven’t slept from the intense fear. Our lives are in danger every moment.”
Please help and share if you c…

10 lost works of Canadian art you'll wish you could see

Kinda thinking that at least one of these could see a comeback - albeit maybe not as an art installation so much as a reflection of a new Canadian-US relationship
via
https://flipboard.com/@cbc…

#uspol

Pseudo-Label Enhanced Cascaded Framework: 2nd Technical Report for LSVOS 2025 VOS Track
An Yan, Leilei Cao, Feng Lu, Ran Hong, Youhai Jiang, Fengjie Zhu
https://arxiv.org/abs/2509.14901

Pseudo-Label Enhanced Cascaded Framework: 2nd Technical Report for LSVOS 2025 VOS Track
Complex Video Object Segmentation (VOS) presents significant challenges in accurately segmenting objects across frames, especially in the presence of small and similar targets, frequent occlusions, rapid motion, and complex interactions. In this report, we present our solution for the LSVOS 2025 VOS Track based on the SAM2 framework. We adopt a pseudo-labeling strategy during training: a trained SAM2 checkpoint is deployed within the SAM2Long framework to generate pseudo labels for the MOSE tes…

Convergence and Divergence of Language Models under Different Random Seeds
Finlay Fehlauer (ETH Zurich), Kyle Mahowald (University of Texas at Austin), Tiago Pimentel (ETH Zurich)
https://arxiv.org/abs/2509.26643

Convergence and Divergence of Language Models under Different Random Seeds
In this paper, we investigate the convergence of language models (LMs) trained under different random seeds, measuring convergence as the expected per-token Kullback--Leibler (KL) divergence across seeds. By comparing LM convergence as a function of model size and training checkpoint, we identify a four-phase convergence pattern: (i) an initial uniform phase, (ii) a sharp-convergence phase, (iii) a sharp-divergence phase, and (iv) a slow-reconvergence phase. Further, we observe that larger mode…

🇺🇦 Auf radioeins läuft...
Bilderbuch:
🎵 Checkpoint (Nie Game Over)
#NowPlaying #Bilderbuch
https://open.spotify.com/track/6ICPQARHre4MjKSPaKCmII