Tootfinder

Wikimedia data puts iOS 26 adoption at ~50% in January vs. iOS 18's 72% in 2025 as Apple slows auto-updates; Statcounter showed 15% after missing Safari changes (John Gruber/Daring Fireball)
https://daringfireball.net/2026/01/ios_26_adoption_rate_is_not_bizar…

The iOS 26 Adoption Rate Is Not Bizarrely Low Compared to Previous Years
A change to how Safari reports the OS it is running on led many in the media to lose their minds.

Wenn der Wind so weitermacht driftet selbst Hans Gruber bei seinem Weihnachtsflug vom Kurs ab >_>

“Tahoe is the worst regression in the entire history of MacOS. There are many reasons to prefer MacOS to any of its competition, but the one that has been the most consistent since System 1 in 1984 is the superiority of its user interface. There is nothing about Tahoe’s new UI that is better than its predecessor…. Fundamental principles of computer-human interaction — principles that Apple itself forged over decades — have been completely ignored.”
—John Gruber

I've been working on this one for a while. The multi-trillion-dollar AI industry? Their *most advanced platforms* are controlled by a plain text format that John Gruber made up for his blog, and then bounced off of a 17-year-old Aaron Swartz, before sharing it with the world for free. *That* is the internet. Here's the amazing (true!) story of how Markdown took over the world.

How Markdown took over the world
A blog about making culture. Since 1999.

Crosslisted article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[1/3]:
- Optimizing Text Search: A Novel Pattern Matching Algorithm Based on Ukkonen's Approach
Xinyu Guan, Shaohua Zhang
https://arxiv.org/abs/2512.16927 https://mastoxiv.page/@arXiv_csDS_bot/115762062326187898
- SpIDER: Spatially Informed Dense Embedding Retrieval for Software Issue Localization
Shravan Chaudhari, Rahul Thomas Jacob, Mononito Goswami, Jiajun Cao, Shihab Rashid, Christian Bock
https://arxiv.org/abs/2512.16956 https://mastoxiv.page/@arXiv_csSE_bot/115762248476963893
- MemoryGraft: Persistent Compromise of LLM Agents via Poisoned Experience Retrieval
Saksham Sahai Srivastava, Haoyu He
https://arxiv.org/abs/2512.16962 https://mastoxiv.page/@arXiv_csCR_bot/115762140339109012
- Colormap-Enhanced Vision Transformers for MRI-Based Multiclass (4-Class) Alzheimer's Disease Clas...
Faisal Ahmed
https://arxiv.org/abs/2512.16964 https://mastoxiv.page/@arXiv_eessIV_bot/115762196702065869
- Probing Scientific General Intelligence of LLMs with Scientist-Aligned Workflows
Wanghan Xu, et al.
https://arxiv.org/abs/2512.16969 https://mastoxiv.page/@arXiv_csAI_bot/115762050529328276
- PAACE: A Plan-Aware Automated Agent Context Engineering Framework
Kamer Ali Yuksel
https://arxiv.org/abs/2512.16970 https://mastoxiv.page/@arXiv_csAI_bot/115762054461584205
- A Women's Health Benchmark for Large Language Models
Elisabeth Gruber, et al.
https://arxiv.org/abs/2512.17028 https://mastoxiv.page/@arXiv_csCL_bot/115762049873946945
- Perturb Your Data: Paraphrase-Guided Training Data Watermarking
Pranav Shetty, Mirazul Haque, Petr Babkin, Zhiqiang Ma, Xiaomo Liu, Manuela Veloso
https://arxiv.org/abs/2512.17075 https://mastoxiv.page/@arXiv_csCL_bot/115762077400293945
- Disentangled representations via score-based variational autoencoders
Benjamin S. H. Lyo, Eero P. Simoncelli, Cristina Savin
https://arxiv.org/abs/2512.17127 https://mastoxiv.page/@arXiv_statML_bot/115762251753966702
- Biosecurity-Aware AI: Agentic Risk Auditing of Soft Prompt Attacks on ESM-Based Variant Predictors
Huixin Zhan
https://arxiv.org/abs/2512.17146 https://mastoxiv.page/@arXiv_csCR_bot/115762318582013305
- Application of machine learning to predict food processing level using Open Food Facts
Arora, Chauhan, Rana, Aditya, Bhagat, Kumar, Kumar, Semar, Singh, Bagler
https://arxiv.org/abs/2512.17169 https://mastoxiv.page/@arXiv_qbioBM_bot/115762302873829397
- Systemic Risk Radar: A Multi-Layer Graph Framework for Early Market Crash Warning
Sandeep Neela
https://arxiv.org/abs/2512.17185 https://mastoxiv.page/@arXiv_qfinRM_bot/115762275982224870
- Do Foundational Audio Encoders Understand Music Structure?
Keisuke Toyama, Zhi Zhong, Akira Takahashi, Shusuke Takahashi, Yuki Mitsufuji
https://arxiv.org/abs/2512.17209 https://mastoxiv.page/@arXiv_csSD_bot/115762341541572505
- CheXPO-v2: Preference Optimization for Chest X-ray VLMs with Knowledge Graph Consistency
Xiao Liang, Yuxuan An, Di Wang, Jiawei Hu, Zhicheng Jiao, Bin Jing, Quan Wang
https://arxiv.org/abs/2512.17213 https://mastoxiv.page/@arXiv_csCV_bot/115762574180736975
- Machine Learning Assisted Parameter Tuning on Wavelet Transform Amorphous Radial Distribution Fun...
Deriyan Senjaya, Stephen Ekaputra Limantoro
https://arxiv.org/abs/2512.17245 https://mastoxiv.page/@arXiv_condmatmtrlsci_bot/115762447037143855
- AlignDP: Hybrid Differential Privacy with Rarity-Aware Protection for LLMs
Madhava Gaikwad
https://arxiv.org/abs/2512.17251 https://mastoxiv.page/@arXiv_csCR_bot/115762396593872943
- Practical Framework for Privacy-Preserving and Byzantine-robust Federated Learning
Baolei Zhang, Minghong Fang, Zhuqing Liu, Biao Yi, Peizhao Zhou, Yuan Wang, Tong Li, Zheli Liu
https://arxiv.org/abs/2512.17254 https://mastoxiv.page/@arXiv_csCR_bot/115762402470985707
- Verifiability-First Agents: Provable Observability and Lightweight Audit Agents for Controlling A...
Abhivansh Gupta
https://arxiv.org/abs/2512.17259 https://mastoxiv.page/@arXiv_csMA_bot/115762225538364939
- Warmer for Less: A Cost-Efficient Strategy for Cold-Start Recommendations at Pinterest
Saeed Ebrahimi, Weijie Jiang, Jaewon Yang, Olafur Gudmundsson, Yucheng Tu, Huizhong Duan
https://arxiv.org/abs/2512.17277 https://mastoxiv.page/@arXiv_csIR_bot/115762214396869930
- LibriVAD: A Scalable Open Dataset with Deep Learning Benchmarks for Voice Activity Detection
Ioannis Stylianou, Achintya kr. Sarkar, Nauman Dawalatabad, James Glass, Zheng-Hua Tan
https://arxiv.org/abs/2512.17281 https://mastoxiv.page/@arXiv_csSD_bot/115762361858560703
- Penalized Fair Regression for Multiple Groups in Chronic Kidney Disease
Carter H. Nakamoto, Lucia Lushi Chen, Agata Foryciarz, Sherri Rose
https://arxiv.org/abs/2512.17340 https://mastoxiv.page/@arXiv_statME_bot/115762446402738033
toXiv_bot_toot

A look at the history and rise of Markdown, which has been adopted across the tech industry in the decades since its quiet launch in 2004 by John Gruber (Anil Dash)
https://www.anildash.com/2026/01/09/how-markdown-took-over-the-world/

How Markdown took over the world
A blog about making culture. Since 1999.

@gruber I purposefully have automatic downloads and updates turned off because OS 26 seems half-baked and I wanted to wait. Last weekend, after pestering me for a week even though I kept pressing “cancel update” my iPhone and iPad ignored all that and installed OS 26 overnight. I know I’m in the minority, but how do we evaluate the adoption rate with this in mind?

The iOS 26 Adoption Rate Is Not Bizarrely Low Compared to Previous Years
A change to how Safari reports the OS it is running on led many in the media to lose their minds.

Apple replacing Alan Dye with Stephen Lemay may fix Jony Ive's mistake by restoring the Jobsian "design is how it works" ethos in Apple's UI design (John Gruber/Daring Fireball)
https://daringfireball.net/2025/12/bad_dye_job

Bad Dye Job
It might have made some sense to bring someone from the fashion/brand world to lead software design for Apple Watch, but it sure didn’t seem to make sense for the rest of Apple’s platforms. And the decade of Dye’s HI leadership has proven it.

🇺🇦 #NowPlaying on BBCRadio3's #FridayNightIsMusicNight
Franz Xaver Gruber, Terrance Kelly, BBC Concert Orchestra, Daniel Bartholomew-Poyser, Volney Morgan & New-Ye & The Spirituals:
🎵 Silent Night
#FranzXaverGruber #TerranceKelly #BBCConcertOrchestra #VolneyMorgan #NewYe