Tootfinder

M6 wird übersprungen: MacBook Ultra mit älteren Chips?
Apples neues MacBook-Topmodell mit OLED-Touchscreen könnte beim älteren M5-Chip bleiben. Der Grund ist Apples allgemeine SoC-Strategie.
https://www.

M6 wird übersprungen: MacBook Ultra mit älteren Chips?
Apples neues MacBook-Topmodell mit OLED-Touchscreen könnte beim älteren M5-Chip bleiben. Der Grund ist Apples allgemeine SoC-Strategie.

Before I met my wife 20 years ago, she was an Apple user with a macbook.
I eventually got her on Linux (initially with Mint). Maybe 15 years ago?
She started a new job and they gave her a new macbook, and she haaaaaates it. I can't tell if it's because she just got used to Linux, or if it's because Apple has actually made their OS worse in the past 15 years.

Dell unveils the student-focused Dell 14S, with Intel Wildcat Lake chips and starting with 8GB of RAM and 256GB of storage, in a bid to rival the MacBook Neo (Antonio G. Di Benedetto/The Verge)
https://www.theverge.com/gadgets/987839/dell-14s-student-lapt…

Dell’s newest laptop sounds a lot like a MacBook Neo
Dell’s new Dell 14S is a colorful laptop aimed at students, starting with 8GB of RAM and sporting Intel’s Wildcat Lake chips.

Ok, I was thinking I didn’t have anything for this, but then I was reminded by a couple of posts that folks have made that my focus on maintaining the house climate is extremely “Dad” energy 😂, making sure windows are closed or that we start cooling early in the day so we have thermal inertia.
https://

Ryan Nanni (@celebrityhottub.bsky.social)
It is time once again to discuss the Most Dad Things we have done in the past year. A couple of reminders: - gender is a social construct, anyone can do Dad Things - you need not be a parent to do a Dad Thing - the definition of a Dad Thing is entirely subjective and maybe made up I’ll go first:

As companies stay private longer, VC firms, like Spark, Gigafund, and Greenoaks, are investing in companies later on and buying stakes without seeking influence (Wall Street Journal)
https://www.wsj.com/finance/venture-capita

Heiß und immer heißer - Hitze in Österreich: Alter Juni-Rekord gefallen #News #Nachrichten

🇺🇦 #NowPlaying on #BBC6Music's #StuartMaconiesFreakZone
The Devil's Anvil:
🎵 Wala Dai
#TheDevilsAnvil
https://ceaseanddesistrecords.bandcamp.com/track/wala-dai
https://open.spotify.com/track/7MXS8VqMceb6VD4EpXmTPh

Learning Latent Memory States from Longitudinal Athlete Monitoring Data
Dae-Jin Lee
https://arxiv.org/abs/2608.06290 https://arxiv.org/pdf/2608.06290 https://arxiv.org/html/2608.06290
arXiv:2608.06290v1 Announce Type: new
Abstract: We propose a new unit of analysis for longitudinal data: the Latent Memory Table. The scientific contribution is not the encoder. It is that table, treated as a reusable statistical object on the same footing as a matrix of principal-component scores, a table of estimated random effects, or a table of predicted probabilities. We estimate a statistical table that summarizes recent longitudinal history and is intended to be stored, queried, analysed and reused throughout the statistical workflow. A memory operator maps each masked windowed history to a finite-dimensional state; collecting those states with uncertainty yields the Latent Memory Table. Validation is organized around six properties---recoverability, personalization, temporal coherence, interpretability, stability and reusability---summarized by a composite quality index \(Q\); the Transformer, the SoccerMon case study and the simulations exist to argue that this table deserves that status. Classical exponentially weighted moving averages and related short- and long-horizon scalar summaries arise as restricted, typically univariate special cases of the same operator class. A simulation study with known memory mechanisms shows that \(Q\) and rotation-invariant recovery scores discriminate genuine multivariate or personalized memory from negative controls and from misspecified windows, whereas regime classification accuracy alone does not. SoccerMon serves as an empirical case study: a constructed Latent Memory Table attains \(Q\approx 0.73\) versus about \(0.40\) for classical and lagged principal-component baselines, with incremental held-out value for some wellness targets and Procrustes ensembles for row-wise reliability.
toXiv_bot_toot

🇺🇦 #NowPlaying on KEXP's #StreetSounds
Jackson 5:
🎵 My Little Baby
#Jackson5
https://open.spotify.com/track/4MKGbIJuSZQ8KFF0rGBXt0

Structured Dimension-Matched Joint Variational Transdimensional Inference
Pingping Yin, Xiyun Jiao
https://arxiv.org/abs/2608.05607 https://arxiv.org/pdf/2608.05607 https://arxiv.org/html/2608.05607
arXiv:2608.05607v1 Announce Type: new
Abstract: Bayesian model selection couples a discrete model indicator with a model-specific continuous parameter space. We introduce structured dimension-matched variational transdimensional inference (SM-VTI) for finite enumerable model spaces. A rooted construction graph expresses a model as a sequence of local stop/child decisions. Each typed edge compiles a declared scientific parent-child edit into an exact native-coordinate dimension-matching lifting; an edge-conditioned flow then learns the residual continuous transport. The resulting local policy and conditional flow define one direct joint variational distribution, without embedding every model in a saturated maximum-dimensional surrogate. We derive its exact path density and optimize the joint reverse-KL objective. On a controlled 15-model target, SM-VTI-Joint recovers terminal masses, local actions, and nonlinear conditional geometry. On a 128-model misspecified robust variable-selection problem, a 10-data-set nearly parameter-matched affine comparison with AVTI shows stronger early model-mass recovery and competitive final joint accuracy under the same target-evaluation budget.
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