Tootfinder

The X algorithm really is trying to radicalize you--researchers just proved it (Jay Willis/Fast Company)
https://www.fastcompany.com/91507338/x-algorithm-for-you-radicalize-users
http://www.memeorandum.com/260312/p111#a260312p111

Analysts and researchers say Google's TurboQuant compression algorithm to make LLMs more efficient is more likely to expand memory chip demand than reduce it (Daniel Tudor/Financial Times)
https://www.ft.com/content/12eaae3a-e1b8-47a0-9006-70fe319b130a

"Transit is 95 percent safer than cars today, without a single algorithm. If AVs pull riders off the subway and onto robotaxi apps, the safety math goes in the wrong direction."
And the "if" is all but certain to be true, because that's exactly what happened last time companies drove down labor costs and regulation of taxi services. (Uber and Lyft)

With Waymo Testing Halted, We Have A Rare Chance To Get Ahead of the 'Driverless Revolution' - Streetsblog New York City
Two experts say we don't have to fear AVs, but we do have to prepare for them so we don't repeat the mistakes of the past.

I read, When AI is Fluent in Data but Illiterate in Context:
'We are building evidence infrastructure at speed, and we are not asking, systematically enough, what the tools assume when they read human realities they were never designed to understand.'
https://reamby.substac…

When AI is Fluent in Data but Illiterate in Context
Beyond the Algorithm

Your mom is not using a post-quantum key exchange algorithm!

Some _very_ early algorithm concept/pre-viz sketches/explorations for the Tron Legacy (2010) intro sequence. They informed another concept/approach in which we applied a similar algorithm to progressively trace out edges of an initially invisible and super detailed 3D city mesh. This required a lot of effort to retopologize the (huge) geometry supplied and creating a multi-res navigation graph to prioritize long/major edges over shorter ones, filter out undesired edges/directions, thereby cr…

I was a guest on the Heavy Networking podcast, talking about routing performance and the recent improvements to the shortest path algorithm. A fun discussion for me at least https://packetpushers.net/podcasts/hea

⚰️ Fentanyl or phony? Machine learning algorithm learns to pick out opioid signatures
#sensors

Fentanyl or phony? Machine learning algorithm learns to pick out opioid signatures
New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory (LLNL) aim to answer that question with a machine learning model that can distinguish opioids from other chemicals with an accuracy over 95% in a laboratory setting.

from my link log —
TCP is an underspecified two-node consensus algorithm and what that means for your proxies.
https://morsmachine.dk/tcp-consensus
saved 2024-03-28 http…

"It places page cache pages in a writable scatterlist, separated from the legitimate write region by nothing more than an offset boundary. The design assumes every AEAD algorithm will confine its writes to the intended destination, but nothing in the API enforces this, and nothing documents it as a requirement.
Unfortunately, one AEAD algorithm breaks this silent invariant."
"No other standard AEAD algorithm in the kernel [uses memory that doesn't belong to it as a scratch pad]. GCM, CCM, and regular authenc all confine their writes to the legitimate output area. authencesn alone writes past the boundary."
I'm actually amazed that there's only one bug here. Somehow almost everyone just managed to do the right thing, despite no mechanism enforcing it and no documentation describing it. That's just amazing. It's a testament to the skill of those developers, despite an incredibly bad design.
#copyfail

An experiment finds X's feed algorithm favored conservative content, and switching to the "For you" feed shifted users' views toward more conservative positions (Ece Yildirim/Gizmodo)
https://gizmodo.com/researchers-find-t

X's Algorithm Pushes Users to Lean More Conservative, Researchers Find
The algorithm also doesn't like posts by traditional news media, the researchers found.

When I close Youtube Music to open the regular Youtube instead, I think it should be clear that I am now open to not just music but other shit as well like podcast or whatever.
I don't think it's ambiguous.
But somehow, the Youtube algorithm is like "Oh! He came to the regular youtube! Surely they want to listen to the exact same thing he just listened to but with another interface. I am so intelligent!"

An interview with Hinge CEO Jackie Jantos, promoted from CMO in December 2025, as the dating app hits 1.8M paying users, gaining ground while others struggle (Kieran Smith/Financial Times)
https://www.ft.com/content/32af07ca-213c-422b-a7a4-a1ae04e023d0

Hinge CEO: Our algorithm doesn’t judge on attractiveness
Jackie Jantos defies dating app decline with focus on serious relationships: ‘It’s not TikTok, you need to put in effort’

That kind of coverage achieves something even individual posts on social media cannot: it was not just the people with lots of followers, not just the people favored by the recommender algorithm or the tides of popularity, but instead a broad cross section of whoever was out there.
I don’t know who’s offering coverage like that in Iran like that right now. It may not exist. But even the BBC article at the top — filtered, edited, formatted, and tidied to sound like a BBC article, but still individual voices of people who are living through it — even that is welcome.
/end

The 100baseT1 decode benchmark is dropping below real time when I have a lot of traffic on the link. Do not want.
Sooo now to figure out how to either double the speed of the decode or steal some more time from something else along the critical path like the edge detector or CDR filters that I've spent a ton of time optimizing.
It looks like the workload scheduler might be a weak point here: the greedy algorithm makes the eye pattern run as soon as data is available, which ma…

algorithm, n.:
Trendy dance for hip programmers.

X really twisted us to think that followers and engagement mean something. More people look at posts without interacting on these new social media platforms. We aren’t chasing an algorithm for engagement. Don’t give up.

ALGORITHM OR ALLY? AI, GLOBAL ENGLISH, AND THE FUTURE OF LANGUAGE LEARNING https://call-for-papers.sas.upenn.edu/cfp/2026/02/28/algorithm-or-ally-ai-global-english-and-the-future-of-language-learning

The Algorithm found this interesting news video for me about e-motorbikes in Kenya, and e-stuff in Africa in general. https://www.youtube.com/watch?v=OBoNsdPIt9Q
They didn't mention it, but in the video you can see that they have a battery charge/change service for e-motos. This is one c…

The political effects of X's feed algorithm #politics #SocialMedia

The political effects of X's feed algorithm - PubMed
Feed algorithms are widely suspected to influence political attitudes. However, previous evidence from switching off the algorithm on Meta platforms found no political effects¹. Here we present results from a 2023 field experiment on Elon Musk's platform X shedding light on this puzzle. W …

FTW you watch some news segments on #YouTube about that #Melania #Epstein presser and the #algorithm immediately starts listing unrelated sitcom, late night clips etc. with (flirty) discussions of nudity. 🤨
I suppose that's a clue to the First Lady's #reputation, unfortunate/unreasonable it may be. 😟

Clearly the military needs AI in order to have an algorithm to blame when everything goes sideways.
Damned robots.

"I never expected to find my news […] on a federated social network that half the internet has never heard of. […] But there's something quietly beautiful about a place where people just... share what they know.
No brand deals, no engagement metrics, no algorithm nudging you toward rage. Just someone who spent twenty years studying Arctic policy posting a thread at 2 AM because they think you should understand what's happening.
It's the internet I was promised in…

Just occurred to me that I have never had the experience of perceiving an algorithm in what YouTube wants to show me. Others mention it often. I guess I would need to watch more than one video in a visit and stop tossing their cookies.

The political effects of X’s feed algorithm
https://www.nature.com/articles/s41586-026-10098-2

The political effects of X’s feed algorithm - Nature
Among users initially on a chronological feed, 7 weeks of exposure to X’s algorithmic feed in 2023 shifted political attitudes and account-following behaviour in a more conservative direction compared with those remaining on a chronological feed, whereas switching the feed setting in the opposite direction, from algorithmic to chronological, had no effect.

An experiment finds X's feed algorithm favored conservative content, and switching to the "For you" feed shifted users' views toward more conservative positions (Ece Yildirim/Gizmodo)
https://gizmodo.com/researchers-find-t

X's Algorithm Pushes Users to Lean More Conservative, Researchers Find
The algorithm also doesn't like posts by traditional news media, the researchers found.

I’m mildly curious why YouTube’s algorithm is showing me so many ads for women’s deodorants. Is my iPad telling me I stink now? Maybe TMI but never in all my 76 years have I ever bothered to use any kind of deodorant.

Hahahahahahahahahahhahhahhahahhahhahhahahha
*choking sounds*
Hahahhahahahahahahahahahahahahahaah
https://bsky.app/profile/koldinium.com/post/3mky4hw5a5c2i

ALGORITHM OR ALLY? AI, GLOBAL ENGLISH, AND THE FUTURE OF LANGUAGE LEARNING https://call-for-papers.sas.upenn.edu/cfp/2026/02/28/algorithm-or-ally-ai-global-english-and-the-future-of-language-learning

I Almost Lost My Mind in the Bridal Algorithm https://www.404media.co/wedding-planning-algorithm-weddingtok/

RE: https://mefi.social/@MissConstrue/116501419475132635
"[T]here's something quietly beautiful about a place where people just... share what they know. No brand deals, no engagement metrics, no algorithm nudging you toward rage. Just someone who…

All this to say that it's absurd on its face to try to achieve "AGI" with some algorithm.

Replaced article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Molecular Quantum Control Algorithm Design by Reinforcement Learning
Anastasia Pipi, Xuecheng Tao, Arianna Wu, Prineha Narang, David R. Leibrandt

An interview with creator Amelia Dimoldenberg on retaining rights to her show Chicken Shop Date, staying on YouTube, new ventures, including a TV show, and more (Katie Drummond/Wired)
https://www.wired.com/story/the-big-interview-podcast-amelia-dimoldenberg/…

The Secret to Amelia Dimoldenberg’s Online Superstardom? Control
The host of “Chicken Shop Date” joined WIRED’s “Big Interview” podcast to talk about turning down bad deals, beating the algorithm, and the importance of being over-prepared.

A study of websites created since 2022 found 1 in 3 are AI-generated text. And their characteristics follow my prediction that AI will act as compression algorithm on cultural heritage.
https://www.linkedin.com/posts/jonippolito…

New Study: Evidence shows how X’s algorithmic feed is radicalizing its users toward the Right. https://www.nature.com/articles/s41586-026-10098-2

The political effects of X’s feed algorithm - Nature
Among users initially on a chronological feed, 7 weeks of exposure to X’s algorithmic feed in 2023 shifted political attitudes and account-following behaviour in a more conservative direction compared with those remaining on a chronological feed, whereas switching the feed setting in the opposite direction, from algorithmic to chronological, had no effect.

ALGORITHM OR ALLY? AI, GLOBAL ENGLISH, AND THE FUTURE OF LANGUAGE LEARNING https://call-for-papers.sas.upenn.edu/cfp/2026/02/28/algorithm-or-ally-ai-global-english-and-the-future-of-language-learning

Restoring missing low scattering angle data in two-dimensional diffraction patterns of isolated molecules
Yanwei Xiong, Martin Centurion
https://arxiv.org/abs/2603.24334 https://arxiv.org/pdf/2603.24334 https://arxiv.org/html/2603.24334
arXiv:2603.24334v1 Announce Type: new
Abstract: Anisotropic two-dimensional diffraction signals contain more information than the conventional isotropic signals for both gas phase ultrafast electron and X-ray diffraction experiments and are common in typical time-resolved diffraction experiments due to the use of linearly polarized lasers to excite the sample that imprints spatial anisotropy on the molecules. We report an iterative algorithm to restore the missing data at low scattering angles in a two-dimensional diffraction signal, which is essential to obtain real-space representation. The iterative algorithm transforms two-dimensional signals back and forth between the momentum transfer domain and the real space domain through Fourier and Abel transforms and apply real space constraints to retrieve missing signal at low scattering angles. The algorithm only requires an approximate a-priori knowledge of the shortest and longest internuclear distances in the molecule. We demonstrated successful retrieval of the missing signal in simulated patterns and in experimentally measured diffraction patterns from laser-induced alignment of trifluoroiodomethane molecules.
toXiv_bot_toot

Funny story, that Claude thing. But I hate when I read that „AI goes rogue“. A „misdemeanor“. Or it „apologized“ and „admitted“.
It’s a fricking text extruder that does random things because the algorithm thinks those words fit into its context. If you let such a program execute whatever command it spits out - that’s on you. If the cloud provider keeps backups on the same drive as the original data, that’s on them and you should try suing them.

Cryptanalysis of a Lightweight RFID Authentication Protocol Based on a Variable Matrix Encryption Algorithm
Hongjun Wu
https://arxiv.org/abs/2603.28313 https://

A medical student reverse-engineered AI tools used by medical colleges on suspicion they were filtering his applications, highlighting AI-driven hiring concerns (Todd Feathers/Wired)
https://www.wired.com/story/he-couldnt-land-a-job-interview-was-ai-to-blame/

He Couldn’t Land a Job Interview. Was AI to Blame?
Armed with some Python and a white-hot sense of injustice, one medical student spent six months trying to figure out whether an algorithm trashed his job application.

Google’s TurboQuant AI-Compression Algorithm Can Reduce LLM Memory Usage by 6x https://ground.news/article/micron-falls-as-q2-earnings-and-ai-compression-put-memory-stocks-on-edge_784d52

"Satellite images indicate that the Doñana Marshland will disappear within 60 years"
#Environment
https://phys.org/news/2026-02-satellite-images-doana-…

Satellite images indicate that the Doñana Marshland will disappear within 60 years
The Doñana National Park, considered one of Europe's most valuable wetlands, is expected to lose its marshland in 61 years, according to calculations from a major water-resource monitoring study carried out by the University of Seville. The study has developed an innovative algorithm, based on machine learning, capable of detecting the presence of surface water with high precision using images from the Sentinel-2 satellite.

Tony Hoare,
the Turing Award-winning pioneer who created the Quicksort algorithm,
developed Hoare logic,
and advanced theories of concurrency and structured programming,
has died at age 92.
https://m.slashdot.org/story/453208

Ski Rental with Distributional Predictions of Unknown Quality
Qiming Cui, Michael Dinitz
https://arxiv.org/abs/2602.21104 https://arxiv.org/pdf/2602.21104 https://arxiv.org/html/2602.21104
arXiv:2602.21104v1 Announce Type: new
Abstract: We revisit the central online problem of ski rental in the "algorithms with predictions" framework from the point of view of distributional predictions. Ski rental was one of the first problems to be studied with predictions, where a natural prediction is simply the number of ski days. But it is both more natural and potentially more powerful to think of a prediction as a distribution p-hat over the ski days. If the true number of ski days is drawn from some true (but unknown) distribution p, then we show as our main result that there is an algorithm with expected cost at most OPT O(min(max({eta}, 1) * sqrt(b), b log b)), where OPT is the expected cost of the optimal policy for the true distribution p, b is the cost of buying, and {eta} is the Earth Mover's (Wasserstein-1) distance between p and p-hat. Note that when {eta} < o(sqrt(b)) this gives additive loss less than b (the trivial bound), and when {eta} is arbitrarily large (corresponding to an extremely inaccurate prediction) we still do not pay more than O(b log b) additive loss. An implication of these bounds is that our algorithm has consistency O(sqrt(b)) (additive loss when the prediction error is 0) and robustness O(b log b) (additive loss when the prediction error is arbitrarily large). Moreover, we do not need to assume that we know (or have any bound on) the prediction error {eta}, in contrast with previous work in robust optimization which assumes that we know this error.
We complement this upper bound with a variety of lower bounds showing that it is essentially tight: not only can the consistency/robustness tradeoff not be improved, but our particular loss function cannot be meaningfully improved.
toXiv_bot_toot

Denoising data reduction algorithm for Topological Data Analysis
Seonmi Choi, Semin Oh, Jeong Rye Park, Seung Yeop Yang
https://arxiv.org/abs/2603.29248 https://

I’m a bit in love with Current Reader 🧡 https://www.currentreader.app
Finally, reading news without the stress of -clearing- the RSS reader. No badge pressure, no -200 articles behind- feeling. It feels like social media: Pop in, read a few good pieces, pop out. But without the algorithm, without tracking, …

@… When I started at Google in 2016 I had to sign a bunch of export control paperwork because I *might* be able to find some encryption algorithm somewhere in the VCS I guess.

A single algorithm for both restless and rested rotting bandits
Julien Seznec, Pierre M\'enard, Alessandro Lazaric, Michal Valko
https://arxiv.org/abs/2604.21432 https://

I’m sorry that your precious little token based markov algorithm that you think of as human isn’t useful, but it’s not useful.

Social media algorithms prioritize right-wing content and influence the political views and behavior of real users. This is the finding of the recent study “The political effects of X’s feed algorithm”: https://www.nature.com/articles/s41586-026-10098-2

The political effects of X’s feed algorithm - Nature
Among users initially on a chronological feed, 7 weeks of exposure to X’s algorithmic feed in 2023 shifted political attitudes and account-following behaviour in a more conservative direction compared with those remaining on a chronological feed, whereas switching the feed setting in the opposite direction, from algorithmic to chronological, had no effect.

I won’t lose any sleep over it, but for some reason YouTube’s algorithm is showing me way too many (any is too many) ads for women’s deodorants lately.

I am trying to restrain my boosting habits more. I realized that duplicate boosts are still a nuisance for some folks, so I am trying to remember that most toots I see because of boosting have probably hit the feeds of everyone who follows me.
I still have old #FowlSite algorithm-feeding habits, even when that's not really a thing here.

Crosslisted article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[1/2]:
- Bridge-RAG: An Abstract Bridge Tree Based Retrieval Augmented Generation Algorithm With Cuckoo Fi...
Li, Liu, Zong, Tao, Dai, Ren, Liu, Jiang, Yang
https://arxiv.org/abs/2603.26668 https://mastoxiv.page/@arXiv_csIR_bot/116322781593134028
- SRAG: RAG with Structured Data Improves Vector Retrieval
Shalin Shah, Srikanth Ryali, Ramasubbu Venkatesh
https://arxiv.org/abs/2603.26670 https://mastoxiv.page/@arXiv_csIR_bot/116322784870180864
- LITTA: Late-Interaction and Test-Time Alignment for Visually-Grounded Multimodal Retrieval
Seonok Kim
https://arxiv.org/abs/2603.26683 https://mastoxiv.page/@arXiv_csIR_bot/116322841916406330
- Agentic AI for Human Resources: LLM-Driven Candidate Assessment
Yuksel, Anees, Elneima, Hewavitharana, Al-Badrashiny, Sawaf
https://arxiv.org/abs/2603.26710 https://mastoxiv.page/@arXiv_csIR_bot/116322937601675587
- SEAR: Schema-Based Evaluation and Routing for LLM Gateways
Zecheng Zhang, Han Zheng, Yue Xu
https://arxiv.org/abs/2603.26728 https://mastoxiv.page/@arXiv_csDB_bot/116322627580095245
- SleepVLM: Explainable and Rule-Grounded Sleep Staging via a Vision-Language Model
Guifeng Deng, Pan Wang, Jiquan Wang, Shuying Rao, Junyi Xie, Wanjun Guo, Tao Li, Haiteng Jiang
https://arxiv.org/abs/2603.26738 https://mastoxiv.page/@arXiv_csCV_bot/116322739676378309
- Aesthetic Assessment of Chinese Handwritings Based on Vision Language Models
Chen Zheng, Yuxuan Lai, Haoyang Lu, Wentao Ma, Jitao Yang, Jian Wang
https://arxiv.org/abs/2603.26768 https://mastoxiv.page/@arXiv_csCV_bot/116323078149576728
- Learning to Select Visual In-Context Demonstrations
Eugene Lee, Yu-Chi Lin, Jiajie Diao
https://arxiv.org/abs/2603.26775 https://mastoxiv.page/@arXiv_csLG_bot/116322648878995047
- CRISP: Characterizing Relative Impact of Scholarly Publications
Hannah Collison, Benjamin Van Durme, Daniel Khashabi
https://arxiv.org/abs/2603.26791 https://mastoxiv.page/@arXiv_csDL_bot/116322621679820997
- GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem S...
Xinyi Duan, Yuanrong Tang, Jiangtao Gong
https://arxiv.org/abs/2603.26807 https://mastoxiv.page/@arXiv_csIR_bot/116322959557860848
- In your own words: computationally identifying interpretable themes in free-text survey data
Jenny S Wang, Aliya Saperstein, Emma Pierson
https://arxiv.org/abs/2603.26930 https://mastoxiv.page/@arXiv_csCY_bot/116322780637316287
- Multilingual Stutter Event Detection for English, German, and Mandarin Speech
Felix Haas, Sebastian P. Bayerl
https://arxiv.org/abs/2603.26939 https://mastoxiv.page/@arXiv_csSD_bot/116322704289189130
- FormalProofBench: Can Models Write Graduate Level Math Proofs That Are Formally Verified?
Ravi, Ying, Nesterov, Krishnan, Uskuplu, Xia, Aswedige, Nashold
https://arxiv.org/abs/2603.26996 https://mastoxiv.page/@arXiv_csAI_bot/116322625941412681
- PHONOS: PHOnetic Neutralization for Online Streaming Applications
Waris Quamer, Mu-Ruei Tseng, Ghady Nasrallah, Ricardo Gutierrez-Osuna
https://arxiv.org/abs/2603.27001 https://mastoxiv.page/@arXiv_eessAS_bot/116322763598554193
- ChartNet: A Million-Scale, High-Quality Multimodal Dataset for Robust Chart Understanding
Jovana Kondic, et al.
https://arxiv.org/abs/2603.27064 https://mastoxiv.page/@arXiv_csCV_bot/116323214468792735
- daVinci-LLM:Towards the Science of Pretraining
Qin, Liu, Mi, Xie, Huang, Si, Lu, Feng, Wu, Liu, Luo, Hou, Guo, Qiao, Liu
https://arxiv.org/abs/2603.27164 https://mastoxiv.page/@arXiv_csAI_bot/116322653467105951
- LightMover: Generative Light Movement with Color and Intensity Controls
Zhou, Wang, Kim, Shu, Yu, Hold-Geoffroy, Chaturvedi, Wu, Lin, Cohen
https://arxiv.org/abs/2603.27209 https://mastoxiv.page/@arXiv_csCV_bot/116323263295656104
- Self-evolving AI agents for protein discovery and directed evolution
Tan, Zhang, Li, Yu, Zhong, Zhou, Dong, Hong
https://arxiv.org/abs/2603.27303 https://mastoxiv.page/@arXiv_csAI_bot/116322838641595927
- Inference-Time Structural Reasoning for Compositional Vision-Language Understanding
Amartya Bhattacharya
https://arxiv.org/abs/2603.27349 https://mastoxiv.page/@arXiv_csCV_bot/116323280006044500
- LLM Readiness Harness: Evaluation, Observability, and CI Gates for LLM/RAG Applications
Alexandre Cristov\~ao Maiorano
https://arxiv.org/abs/2603.27355 https://mastoxiv.page/@arXiv_csAI_bot/116322987708962414
- Heterogeneous Debate Engine: Identity-Grounded Cognitive Architecture for Resilient LLM-Based Eth...
Jakub Mas{\l}owski, Jaros{\l}aw A. Chudziak
https://arxiv.org/abs/2603.27404 https://mastoxiv.page/@arXiv_csAI_bot/116322999177460352
toXiv_bot_toot

Seeing embedded ads, featuring a besuited Jude Law, for a legal document analysing AI tool.
Is this targeted? Is this who the algorithm thinks I am?

Closed-Loop Integrated Sensing, Communication, and Control for Efficient Drone Flight
Jingli Li, Yiyan Ma, Bo Ai, Wei Chen, Weijie Yuan, Qingqing Cheng, Tongyang Xu, Guoyu Ma, Mi Yang, Yunlong Lu, Wenwei Yue, Christos Masouros, Zhangdui Zhong
https://arxiv.org/abs/2603.29220 https://arxiv.org/pdf/2603.29220 https://arxiv.org/html/2603.29220
arXiv:2603.29220v1 Announce Type: new
Abstract: Low-altitude wireless networks (LAWN) require drones to follow specific trajectories controlled by ground base stations (GBSs). However, given complex low-altitude channel conditions and limited spectrum and power resources, sensing errors and wireless link unreliability cannot be ignored, leading to trajectory deviations that threaten flight safety. To address this issue, this paper proposes an integrated sensing-communication-control (ISCC) closed-loop trajectory tracking approach, aiming to reveal the coupling mechanisms among communication, sensing, and control during drone flight. In detail, we incorporate sensing errors in trajectory state estimation, packet losses in control command transmission, and finite blocklength transmission effects into the closed-loop dynamics. First, through theoretical analysis, we identify the dominant role of the time-frequency resources allocated to control in ensuring system stability and derive a lower bound on the resources required to guarantee stable operation. Second, to minimize tracking error, we formulate a time-frequency resource allocation optimization problem for the sensing, communication, and control components, subject to constraints on communication rate and closed-loop stability. Accordingly, a solution algorithm based on successive convex approximation is proposed. Third, simulation results indicate that once stability is ensured, system performance is primarily determined by sensing accuracy, with the trajectory tracking error exhibiting an approximately linear dependence on the position error bound. Finally, it is shown that the proposed ISCC scheme avoids trajectory divergence under FBL transmission compared with ISCC designs ignoring control packet loss, and could achieve decimeter-level average tracking accuracy, reducing the error to only 17.37% of that observed in the baseline global navigation satellite system scheme.
toXiv_bot_toot

An analysis of 1,000 YouTube Shorts videos recommended to kids: the algorithm pushes bizarre, often nonsensical, AI-generated videos, and many lack disclosures (Arijeta Lajka/New York Times)
https://www.nytimes.com/2026/02/26/us/ai-v…

How A.I.-Generated Videos Are Distorting Your Child’s YouTube Feed
Experts caution that low-quality, A.I.-generated videos on YouTube geared toward children often feature conflicting information, lack plot structure and can be cognitively overwhelming — all of which could affect young children’s development.

Every once in a while, The Algorithm hits one completely out of the park, and then some: https://www.youtube.com/watch?v=gzodB0Sp6ZI

Why we devs don't "just do ___":
https://loadbearingtomato.com/p/why-chasing-twitters-approval-doesnt
> “what people say” is data, not truth. It is a story they are telling you. That story has value, but only if you don’t blindly interpre…

Why chasing twitter's approval doesn't work
The opinions you believe are universal are being fed to you by an algorithm designed to show you what you want.

from my link log —
Faster zlib/DEFLATE decompression on arm64 and x86.
https://dougallj.wordpress.com/2022/08/20/faster-zlib-deflate-decompression-on-the-apple-m1-and-x86/
saved 2022-08-20

Faster zlib/DEFLATE decompression on the Apple M1 (and x86)
DEFLATE is a relatively slow compression algorithm from 1991, which (along with its wrapper format, zlib) is incredibly widely used, for example in the PNG, Zip and Gzip file formats and the HTTP, …

The political effects of X's feed algorithm (Nature)
https://www.nature.com/articles/s41586-026-10098-2
http://www.memeorandum.com/260218/p60#a260218p60

Addicted to the algorithm – New research exposes how #BigTech lobbies to keep us hooked on #SocialMedia
Olivier Hoedeman, @… research and campaign coordinator:
> The addictive design of social media has become a major societal problem with serious impacts on public #health and endangering the future of #democracy.
05.02.2026 #DiDay #ChildProtecion #SocialMediaBan #DigitalFairnessAct #DFA #Meta #Google #Bildung #FediLZ #Demokratie

For some reasons, the Youtube algorithm always want me to listen to You'll Melt More!.
ゆるめるモ！（You'll Melt More!)『スキヤキ(O-EAST Live Version)』(Official Music Video)

• YouTube
• Invidio…

ゆるめるモ！（You'll Melt More!)『スキヤキ(O-EAST Live Version)』(Official Music Video) by ゆるめるモ!OFFICIAL
Listen now on your favorite streaming service. Powered by Songlink/Odesli, an on-demand, customizable smart link service to help you share songs, albums, podcasts and more.

An analysis of 1,000 YouTube Shorts videos recommended to kids: the algorithm pushes bizarre, often nonsensical, AI-generated videos, and many lack disclosures (Arijeta Lajka/New York Times)
https://www.nytimes.com/2026/02/26/us/ai-videos-children-youtube.html…

How A.I.-Generated Videos Are Distorting Your Child’s YouTube Feed
Experts caution that low-quality, A.I.-generated videos on YouTube geared toward children often feature conflicting information, lack plot structure and can be cognitively overwhelming — all of which could affect young children’s development.

Reading through Anthropic's official repo for giving agents various "super skills"[1]... There's an "algorithmic art" skill and the instructions are explicitly encouraging pure deception as one of the key "critical guidelines":
"The philosophy MUST stress multiple times that the final algorithm should appear as though it took countless hours to develop, was refined with care, and comes from someone at the absolute top of their field. This fram…

skills/skills/algorithmic-art/SKILL.md at main · anthropics/skills
Public repository for Agent Skills. Contribute to anthropics/skills development by creating an account on GitHub.

@… @… For sure. Definitely a 30 second back of the napkin suggestion, not the one I think anyone should actually implement.
Hard to know *what* that algorithm should be without incentivizing *some* sort of gamification.

Implementation of the multigrid Gaussian-Plane-Wave algorithm with GPU acceleration in PySCF
Rui Li, Xing Zhang, Qiming Sun, Yuanheng Wang, Junjie Yang, Garnet Kin-Lic Chan
https://arxiv.org/abs/2603.24881 https://arxiv.org/pdf/2603.24881 https://arxiv.org/html/2603.24881
arXiv:2603.24881v1 Announce Type: new
Abstract: We introduce a GPU-accelerated multigrid Gaussian-Plane-Wave density fitting (FFTDF) approach for efficient Fock builds and nuclear gradient evaluations within Kohn-Sham density functional theory, as implemented in the GPU4PySCF module of PySCF. Our CUDA kernels employ a grid-based parallelization strategy for contracting Gaussian basis function pairs and achieve up to 80% of the FP64 peak performance on NVIDIA GPUs, with no loss of efficiency for high angular momentum (up to f-shell) functions. Benchmark calculations on molecules and solids with up to 1536 atoms and 20480 basis functions show up to 25x speedup on an H100 GPU relative to the CPU implementation on a 28-core shared memory node. For a 256-water cluster, the ground-state energy and nuclear gradients can be computed in ~30 seconds on a single H100 GPU. This implementation serves as an open-source foundation for many applications, such as ab initio molecular dynamics and high-throughput calculations.
toXiv_bot_toot

US memory chip stocks lost ~$100B in market value this week, led by Micron's 15% drop, after Google Research detailed its TurboQuant compression algorithm (Financial Times)
https://www.ft.com/content/e4e15692-187e-4466-832e-ec267e792292

Podcast: How Algorithms Make Us Feel Bad and Weird https://www.404media.co/podcast-how-algorithms-make-us-feel-bad-and-weird/

Modelling SARS-CoV-2 epidemics via compartmental and cellular automaton SEIRS model with temporal immunity and vaccination
J. Ilnytskyi, T. Patsahan
https://arxiv.org/abs/2603.22498 https://arxiv.org/pdf/2603.22498 https://arxiv.org/html/2603.22498
arXiv:2603.22498v1 Announce Type: new
Abstract: We consider the SEIRS epidemiology model with such features of the COVID-19 outbreak as: abundance of unidentified infected individuals, limited time of immunity and a possibility of vaccination. The control of the pandemic dynamics is possible by restricting the transmission rate, increasing identification and isolation rate of infected individuals, and via vaccination. For the compartmental version of this model, we found stable disease-free and endemic stationary states. The basic reproductive number is analysed with respect to balancing quarantine and vaccination measures. The positions and heights of the first peak of outbreak are obtained numerically and fitted to simple in usage algebraic forms. Lattice-based realization of this model is studied by means of the asynchronous cellular automaton algorithm. This permitted to study the effect of social distancing by varying the neighbourhood size of the model. The attempt is made to match the quarantine and vaccination effects.
toXiv_bot_toot

ALGORITHM OR ALLY? AI, GLOBAL ENGLISH, AND THE FUTURE OF LANGUAGE LEARNING
https://ift.tt/ecnp2T8
updated: Sunday, March 1, 2026 - 7:01amfull name / name of organization: MLA LSL Global English…
via Input 4 RELCFP …

Google Research details TurboQuant, a quantization algorithm to enable massive compression of LLMs and vector search engines without sacrificing accuracy (Google Research)
https://research.google/blog/turboquant-redefining-ai-efficiency-with-extreme…

TurboQuant: Redefining AI efficiency with extreme compression

Statistical Query Lower Bounds for Smoothed Agnostic Learning
Ilias Diakonikolas, Daniel M. Kane
https://arxiv.org/abs/2602.21191 https://arxiv.org/pdf/2602.21191 https://arxiv.org/html/2602.21191
arXiv:2602.21191v1 Announce Type: new
Abstract: We study the complexity of smoothed agnostic learning, recently introduced by~\cite{CKKMS24}, in which the learner competes with the best classifier in a target class under slight Gaussian perturbations of the inputs. Specifically, we focus on the prototypical task of agnostically learning halfspaces under subgaussian distributions in the smoothed model. The best known upper bound for this problem relies on $L_1$-polynomial regression and has complexity $d^{\tilde{O}(1/\sigma^2) \log(1/\epsilon)}$, where $\sigma$ is the smoothing parameter and $\epsilon$ is the excess error. Our main result is a Statistical Query (SQ) lower bound providing formal evidence that this upper bound is close to best possible. In more detail, we show that (even for Gaussian marginals) any SQ algorithm for smoothed agnostic learning of halfspaces requires complexity $d^{\Omega(1/\sigma^{2} \log(1/\epsilon))}$. This is the first non-trivial lower bound on the complexity of this task and nearly matches the known upper bound. Roughly speaking, we show that applying $L_1$-polynomial regression to a smoothed version of the function is essentially best possible. Our techniques involve finding a moment-matching hard distribution by way of linear programming duality. This dual program corresponds exactly to finding a low-degree approximating polynomial to the smoothed version of the target function (which turns out to be the same condition required for the $L_1$-polynomial regression to work). Our explicit SQ lower bound then comes from proving lower bounds on this approximation degree for the class of halfspaces.
toXiv_bot_toot

Implementation of the multigrid Gaussian-Plane-Wave algorithm with GPU acceleration in PySCF
Rui Li, Xing Zhang, Qiming Sun, Yuanheng Wang, Junjie Yang, Garnet Kin-Lic Chan
https://arxiv.org/abs/2603.24881

Design of Robust Raman Pulses for Cold Atom Interferometers Based on the Krotov Algorithm
Ziwen Song
https://arxiv.org/abs/2602.14494 https://arxiv.org/pdf…

Good Morning #Canada
You never know what the #Algorithm will shove into your feed, and sometimes you wonder just how closely the #TechBros are tracking you. So as someone who admittedly uses too much butter, it was interesting that this YouTube video just randomly showed up in my feed. There's some good info here on butter in general and specifically on pricing, even if most of it is common knowledge. And it's Canadian focused so that's a bonus.
Remember, butter is a dairy product, like cheese and ice cream, so it's obviously very healthy when consumed in bulk...
#CanadaIsAwesome #MmmButter
https://youtu.be/DkNfQqlg1cE

Behind the Blog: Jazz and Journalism https://www.404media.co/behind-the-blog-jazz-and-journalism/

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[5/6]:
- Watermarking Degrades Alignment in Language Models: Analysis and Mitigation
Apurv Verma, NhatHai Phan, Shubhendu Trivedi
https://arxiv.org/abs/2506.04462 https://mastoxiv.page/@arXiv_csCL_bot/114635190037336859
- Sensory-Motor Control with Large Language Models via Iterative Policy Refinement
J\^onata Tyska Carvalho, Stefano Nolfi
https://arxiv.org/abs/2506.04867 https://mastoxiv.page/@arXiv_csAI_bot/114635187854195641
- ICE-ID: A Novel Historical Census Dataset for Longitudinal Identity Resolution
de Carvalho, Popov, Kaatee, Correia, Th\'orisson, Li, Bj\"ornsson, Sigur{\dh}arson, Dibangoye
https://arxiv.org/abs/2506.13792 https://mastoxiv.page/@arXiv_csAI_bot/114703312162525342
- Feedback-driven recurrent quantum neural network universality
Lukas Gonon, Rodrigo Mart\'inez-Pe\~na, Juan-Pablo Ortega
https://arxiv.org/abs/2506.16332 https://mastoxiv.page/@arXiv_quantph_bot/114732532383196043
- Programming by Backprop: An Instruction is Worth 100 Examples When Finetuning LLMs
Cook, Sapora, Ahmadian, Khan, Rocktaschel, Foerster, Ruis
https://arxiv.org/abs/2506.18777 https://mastoxiv.page/@arXiv_csAI_bot/114738213040759661
- Stochastic Quantum Spiking Neural Networks with Quantum Memory and Local Learning
Jiechen Chen, Bipin Rajendran, Osvaldo Simeone
https://arxiv.org/abs/2506.21324 https://mastoxiv.page/@arXiv_csNE_bot/114754367612728319
- Enjoying Non-linearity in Multinomial Logistic Bandits: A Minimax-Optimal Algorithm
Pierre Boudart (SIERRA), Pierre Gaillard (Thoth), Alessandro Rudi (PSL, DI-ENS, Inria)
https://arxiv.org/abs/2507.05306 https://mastoxiv.page/@arXiv_statML_bot/114822374525501660
- Characterizing State Space Model and Hybrid Language Model Performance with Long Context
Saptarshi Mitra, Rachid Karami, Haocheng Xu, Sitao Huang, Hyoukjun Kwon
https://arxiv.org/abs/2507.12442 https://mastoxiv.page/@arXiv_csAR_bot/114867589638074984
- Is Exchangeability better than I.I.D to handle Data Distribution Shifts while Pooling Data for Da...
Ayush Roy, Samin Enam, Jun Xia, Won Hwa Kim, Vishnu Suresh Lokhande
https://arxiv.org/abs/2507.19575 https://mastoxiv.page/@arXiv_csCV_bot/114935399825741861
- TASER: Table Agents for Schema-guided Extraction and Recommendation
Nicole Cho, Kirsty Fielding, William Watson, Sumitra Ganesh, Manuela Veloso
https://arxiv.org/abs/2508.13404 https://mastoxiv.page/@arXiv_csAI_bot/115060386723032051
- Morphology-Aware Peptide Discovery via Masked Conditional Generative Modeling
Nuno Costa, Julija Zavadlav
https://arxiv.org/abs/2509.02060 https://mastoxiv.page/@arXiv_qbioBM_bot/115139546511384706
- PCPO: Proportionate Credit Policy Optimization for Aligning Image Generation Models
Jeongjae Lee, Jong Chul Ye
https://arxiv.org/abs/2509.25774 https://mastoxiv.page/@arXiv_csCV_bot/115298580419859537
- Multi-hop Deep Joint Source-Channel Coding with Deep Hash Distillation for Semantically Aligned I...
Didrik Bergstr\"om, Deniz G\"und\"uz, Onur G\"unl\"u
https://arxiv.org/abs/2510.06868 https://mastoxiv.page/@arXiv_csIT_bot/115343320768797486
- MoMaGen: Generating Demonstrations under Soft and Hard Constraints for Multi-Step Bimanual Mobile...
Chengshu Li, et al.
https://arxiv.org/abs/2510.18316 https://mastoxiv.page/@arXiv_csRO_bot/115416889485910123
- A Spectral Framework for Graph Neural Operators: Convergence Guarantees and Tradeoffs
Roxanne Holden, Luana Ruiz
https://arxiv.org/abs/2510.20954 https://mastoxiv.page/@arXiv_statML_bot/115445273121677005
- Breaking Agent Backbones: Evaluating the Security of Backbone LLMs in AI Agents
Bazinska, Mathys, Casucci, Rojas-Carulla, Davies, Souly, Pfister
https://arxiv.org/abs/2510.22620 https://mastoxiv.page/@arXiv_csCR_bot/115451397563132982
- Uncertainty Calibration of Multi-Label Bird Sound Classifiers
Raphael Schwinger, Ben McEwen, Vincent S. Kather, Ren\'e Heinrich, Lukas Rauch, Sven Tomforde
https://arxiv.org/abs/2511.08261 https://mastoxiv.page/@arXiv_csSD_bot/115535982708483824
- Two-dimensional RMSD projections for reaction path visualization and validation
Rohit Goswami (Institute IMX and Lab-COSMO, \'Ecole polytechnique f\'ed\'erale de Lausanne)
https://arxiv.org/abs/2512.07329 https://mastoxiv.page/@arXiv_physicschemph_bot/115688910885717951
- Distribution-informed Online Conformal Prediction
Dongjian Hu, Junxi Wu, Shu-Tao Xia, Changliang Zou
https://arxiv.org/abs/2512.07770 https://mastoxiv.page/@arXiv_statML_bot/115689281155541568
- Coupling Experts and Routers in Mixture-of-Experts via an Auxiliary Loss
Ang Lv, Jin Ma, Yiyuan Ma, Siyuan Qiao
https://arxiv.org/abs/2512.23447 https://mastoxiv.page/@arXiv_csCL_bot/115808311310246601
toXiv_bot_toot

Spotify announces Taste Profile editing in beta, the first time it lets users fine-tune the recommendation algorithm, starting with Premium users in New Zealand (Sarah Perez/TechCrunch)
https://techcrunch.com/2026/03/13/spotify-…

Spotify will let you edit your Taste Profile to control your recommendations | TechCrunch
When you edit your Taste Profile, you'll impact your personalized playlists like Discover Weekly, recommendations, and Wrapped.

The exact role of AI in the strike on Minab has not been officially confirmed.
Whether or not an algorithm selected this school, it was selected by a system that algorithmic targeting built. To strike 1,000 targets in the first 24 hours of the campaign in Iran, the US military relied on AI systems to generate, prioritize, and rank the target list at a speed no human team could replicate.
https://www.theguardian.com/us-news/ng-interactive/2026/mar/15/ai-defense-warfare-companies?CMP=Share_iOSApp_Other

Reading algorithmic feeds is a crazy thing to do: abandoning control over your own influences to a robot programmed by advertisers to manipulate you?
Madness.
I will not allow a robot programmed by advertisers and surveillance capitalists to determine what I read.
I don’t read any robo-feeds and don’t recommend anyone else does.
But people do:
Top five highest reaching smart phone apps:
All designed to harvest data from your phone, three of them owned by one creepy billionaire, and most people use them by looking at a robo-feed suggesting to them what to read and watch or filter.
I don’t use any of them.
I watch some Youtube, but not though their app. Uninstalled that from my phone as soon as I got it. It’s an awful downgrade of just playing in a browser page. I subscribe to some channels there in my RSS reader like a boss. Never watch what their recommendation algorithms suggests.
I tell them what I want to watch, I don’t let them tell ME what to watch, and frankly I wish all those videographers would start a peertube instance or something instead of posting their work on a corporate surveillance site.
I say you should avoid that algorithm stuff, it’s crazy manipulative.
But people should be free to do what they want.
I’m free to block Facebook! And I do: and I encourage everyone else to do so too.
Edit your DNS, block their domain names. Do it.
But if governments or corporations have the power to mandate those choices for everyone, it will go badly.
Prohibitions always do.

Good Morning #Canada
On this International Day of Happiness I think we should check on Canada’s world ranking on the #Happiness scale. It appears we're are not happy.
I've put some blame on #PeePee in the past for negatively impacting Canadian satisfaction surveys because he incessantly tells us we're broken. Yes, he is exploiting rel issues but maybe working on real solutions would be a better approach. The latest World Happiness Report 2026 has Canada falling 25th place, continuing a downward trend - 18th in 2025 and 13th in 2024. The report suggests that countries who use social media for 5 hours a day, particularly young people, are less happy than those who are doomscrolling less. IMO our youth are not happy because their salaries can't keep pace with the cost of living, but an algorithm would constantly reinforce that if you're active on the platforms owned by U.S. tech bros.
Happy I'm on #Mastodon

#CanadaIsAwesome #ItsTheAlgorithm
https://www.cbc.ca/news/world/world-happiness-2026-canada-25-9.7134296