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Cowboys list of '26 home, away opponents set, will face 8 playoff teams https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2026/01/04/cowboys-complete-list-of-2026-home-away-opponents/88025629007/…

Source: Fins 1st, Steelers worst in NFLPA survey https://www.espn.com/nfl/story/_/id/48045244/source-dolphins-rank-first-steelers-worst-nflpa-survey

Still, there are some other things Hypercard did we’d do well to study, even with full-scale tools. Off the top of my head:
- It richly rewarded unguided exploration. Unsuccessful experimentation had a way of leading to paths forward, not just dead ends.
- Much of it worked by direct manipulation: if you want the thing there, you put the thing there. (Unity and Godot both sort of kind of do some descendant of this, but not with the same discoverability and transparency.)
- There was a rich library of good starting points, modifiable examples.
- An empty but functioning new project had essentially zero boilerplate. You didn’t have to have 15 files and hundreds of lines of code to get a blank page.
- Its UI made it easy-ish for newcomers to ask “What can I do with this thing here?” Modern autocomplete and inline docs kind of sort of approximate this, but in practice only for people who already have tool expertise.
- HyperTalk (the programming language) is tricky to write (it’s a p-lang), but it’s remarkably easy to read. You can peer at it with very limited knowledge and make educated guesses about its semantics, and those guesses will be mostly correct. (HyperTalk syntax tends to get the most attention when people talk about this, I think at the expense of the other things above.)

Ob etwas eine Lösung ist hängt davon ab, welches Ziel damit erreicht werden soll – und unter welchen Rahmenbedingungen.
In Politik wie Management funktioniert das gerne so: um ein bestimmtes Ziel zu erreichen, wird ein Problem präsentiert, das mit dem Ziel irgendwie überlappt, und eine Lösung vorgeschlagen, die das Ziel erreicht und dabei so wirkt als löste sie das Problem (oder dies als Kollateralnutzen wirklich tut).
Ich beobachte das schon eine Zeitlang, und häufig, wenn eine …

These two are my companions this Boxing Day ('Annandag jul' in Sweden): a marzipan pig and a book about when Michael J. Fox was making Family Ties, Teen Wolf and Back to the Future all at the same time.

There's actually a fun story about how Teen Wolf finished filming before BTTF but was released after, with an articulated strategy to gain from the BTTF publicity. This worked really, really well. But I knew this before opening the book.

Another fun fact: The house …

Just a few months ago, AI coding was described as an overblown “auto-complete”, auto-complete has been around for functions and classes and what not since…I don’t know, years ? imagine if PR were rejected because the developed had used auto-complete to help him/her write a piece of code, or worst, a bug fix? I fully understand that no humans should be tasked to review spam PR & spam automated “contributions” but if a contribution is “generated” by Cla…

Client explaining spec: “Clicking the drop-down opens a product grid menu with pop-ups to choose colors.”
Me: “Wut.”
Technical pedantry is important in UI and digital accessibility work. As practitioners we have to translate lingo all the time.
Suggestions…
• Drop-down: https://adrianroselli.…

Crosslisted article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[1/3]:
- SMaRT: Online Reusable Resource Assignment and an Application to Mediation in the Kenyan Judiciary
Farabi, Pinto, Lu, Ramos-Maqueda, Das, Deeb, Sautmann
https://arxiv.org/abs/2602.18431 https://mastoxiv.page/@arXiv_csCY_bot/116119352329590193
- Benchmarking Distilled Language Models: Performance and Efficiency in Resource-Constrained Settings
Sachin Gopal Wani, Eric Page, Ajay Dholakia, David Ellison
https://arxiv.org/abs/2602.20164 https://mastoxiv.page/@arXiv_csCL_bot/116130101399805837
- VISION-ICE: Video-based Interpretation and Spatial Identification of Arrhythmia Origins via Neura...
Dorsa EPMoghaddam, Feng Gao, Drew Bernard, Kavya Sinha, Mehdi Razavi, Behnaam Aazhang
https://arxiv.org/abs/2602.20165 https://mastoxiv.page/@arXiv_csCV_bot/116130222034322594
- Benchmarking Early Deterioration Prediction Across Hospital-Rich and MCI-Like Emergency Triage Un...
KMA Solaiman, Joshua Sebastian, Karma Tobden
https://arxiv.org/abs/2602.20168 https://mastoxiv.page/@arXiv_csCY_bot/116130239074411770
- Cross-Chirality Generalization by Axial Vectors for Hetero-Chiral Protein-Peptide Interaction Design
Yang, Tian, Jia, Zhang, Zheng, Wang, Su, He, Liu, Lan
https://arxiv.org/abs/2602.20176 https://mastoxiv.page/@arXiv_qbioBM_bot/116130281674122586
- Enhancing Heat Sink Efficiency in MOSFETs using Physics Informed Neural Networks: A Systematic St...
Aniruddha Bora, Isabel K. Alvarez, Julie Chalfant, Chryssostomos Chryssostomidis
https://arxiv.org/abs/2602.20177 https://mastoxiv.page/@arXiv_csNE_bot/116130397676559696
- Data-Driven Deep MIMO Detection:Network Architectures and Generalization Analysis
Yongwei Yi, Xinping Yi, Wenjin Wang, Xiao Li, Shi Jin
https://arxiv.org/abs/2602.20178 https://mastoxiv.page/@arXiv_eessSP_bot/116130257424413457
- OrgFlow: Generative Modeling of Organic Crystal Structures from Molecular Graphs
Mohammadmahdi Vahediahmar, Matthew A. McDonald, Feng Liu
https://arxiv.org/abs/2602.20195 https://mastoxiv.page/@arXiv_condmatmtrlsci_bot/116130271189617558
- KEMP-PIP: A Feature-Fusion Based Approach for Pro-inflammatory Peptide Prediction
Soumik Deb Niloy, Md. Fahmid-Ul-Alam Juboraj, Swakkhar Shatabda
https://arxiv.org/abs/2602.20198 https://mastoxiv.page/@arXiv_qbioQM_bot/116130341315320687
- Regressor-guided Diffusion Model for De Novo Peptide Sequencing with Explicit Mass Control
Shaorong Chen, Jingbo Zhou, Jun Xia
https://arxiv.org/abs/2602.20209 https://mastoxiv.page/@arXiv_qbioQM_bot/116130374083646541
- The Sim-to-Real Gap in MRS Quantification: A Systematic Deep Learning Validation for GABA
Zien Ma, S. M. Shermer, Oktay Karaku\c{s}, Frank C. Langbein
https://arxiv.org/abs/2602.20289 https://mastoxiv.page/@arXiv_eessSP_bot/116130267228834775
- Gap-Dependent Bounds for Nearly Minimax Optimal Reinforcement Learning with Linear Function Appro...
Haochen Zhang, Zhong Zheng, Lingzhou Xue
https://arxiv.org/abs/2602.20297 https://mastoxiv.page/@arXiv_statML_bot/116130255458256497
- Multilevel Determinants of Overweight and Obesity Among U.S. Children Aged 10-17: Comparative Eva...
Joyanta Jyoti Mondal
https://arxiv.org/abs/2602.20303 https://mastoxiv.page/@arXiv_csAI_bot/116130097466859145
- An artificial intelligence framework for end-to-end rare disease phenotyping from clinical notes ...
Shyr, Hu, Tinker, Cassini, Byram, Hamid, Fabbri, Wright, Peterson, Bastarache, Xu
https://arxiv.org/abs/2602.20324 https://mastoxiv.page/@arXiv_csAI_bot/116130100089848459
- Circuit Tracing in Vision-Language Models: Understanding the Internal Mechanisms of Multimodal Th...
Jingcheng Yang, Tianhu Xiong, Shengyi Qian, Klara Nahrstedt, Mingyuan Wu
https://arxiv.org/abs/2602.20330 https://mastoxiv.page/@arXiv_csCV_bot/116130463214879334
- No One Size Fits All: QueryBandits for Hallucination Mitigation
Nicole Cho, William Watson, Alec Koppel, Sumitra Ganesh, Manuela Veloso
https://arxiv.org/abs/2602.20332 https://mastoxiv.page/@arXiv_csCL_bot/116130370809116915
- Learning During Detection: Continual Learning for Neural OFDM Receivers via DMRS
Mohanad Obeed, Ming Jian
https://arxiv.org/abs/2602.20361 https://mastoxiv.page/@arXiv_csIT_bot/116130289537785136
- Detecting and Mitigating Group Bias in Heterogeneous Treatment Effects
Joel Persson, Jurri\"en Bakker, Dennis Bohle, Stefan Feuerriegel, Florian von Wangenheim
https://arxiv.org/abs/2602.20383 https://mastoxiv.page/@arXiv_statME_bot/116130509065601748
- Selecting Optimal Variable Order in Autoregressive Ising Models
Shiba Biswal, Marc Vuffray, Andrey Y. Lokhov
https://arxiv.org/abs/2602.20394 https://mastoxiv.page/@arXiv_statML_bot/116130299369541741
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#SturmtiefElli ist weg. Was bleibt?
Der #Winterdienst in #Osnabrück auf Radwegen, Bürgersteigen und Bushaltestellen funktionierte wie gewohnt gelinde gesagt ausbaufähig.
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