Tootfinder

I do so love this idea of using manual #typewriters as a way for students to understand life before our computers (and before #AI ) -

"Articulating generative AI information literacy competencies: An ACRL Framework–driven model for academic libraries"
https://doi.org/10.11645/20.1.883

If you don’t have the resources to write and understand the code yourself, you don’t have the resources to maintain it either.
Any monkey with a keyboard can write code. Writing code has never been hard. People were churning out crappy code en masse way before generative AI and LLMs. I know because I’ve seen it, I’ve had to work with it, and I no doubt wrote (and continue to write) my share of it.
What’s never been easy, and what remains difficult, is figuring out the right probl…

"Cartography of generative AI"
#AI) has given rise to imaginaries that invite alien…

It’s still early, but here's a draft of my book, The Generative Unconscious. The title invokes Jameson’s Political Unconscious to name how the ideological and historical forces shaping culture below the threshold of awareness are now encoded as statistical distributions across billions of parameters. The book isn't about whether AI is good or evil, but about why it provokes such anxiety by making us see the human in the nonhuman.

48 hour film festival's AI rule. I think it says a lot as to what is and isn't allowed. Some of it might just be pragmatic, but some of it may also reflect values of what is considered central and what more peripheral?

You know, it’s hard enough to live life in 2026 without having to determine whether every single thing said to you is an outright lie. Guess what generative AI does, though! 😭

'To illustrate the scale of AI’s pricing mismatch, I’m going to ask you to imagine an alternate history where Uber had a very different business model.
Generative AI subscriptions are like if Uber charged users $20 a month for 100 rides of any distance under 100 miles, and if gas was $150 a gallon, and Uber paid for the gas because somebody insisted that oil would one day be too cheap to meter.'
Sounds about right... 🫣

“What is different about generative AI is the power density it requires.
Fundamentally, it is just computing, but a generative AI training cluster might consume seven or eight times more energy than a typical computing workload”
https://news.mit.edu/2025/explained-ge

Ars Technica publishes its AI policy, saying its editorial text is written by humans, but reporters may use AI tools vetted and approved to assist with research (Ken Fisher/Ars Technica)
https://arstechnica.com/staff/2026/04/our-newsroom-ai-policy/

Some rando on the Internet wrote about my likely future: Burnout caused by the “AI” usage of co-workers.
https://ky.fyi/posts/ai-burnout
Maybe this will be your future, too. Caving in and using generative “AI” tools is not a healthy alternative:
A recent MIT Media Lab study report…

RE: https://mastodon.social/@Blender/116500204687984724
Happy to hear this, and about what seems to be better scrutiny in the future about funding.
"Blender is a tool for artists and creators, it’s made by humans for humans. No generative AI fun…

Japan's Sakana AI launches Sakana Chat, its first consumer chatbot, marking a shift from its business focus as competition to localize generative AI intensifies (Tsubasa Suruga/Nikkei Asia)
https://asia.nikkei.com/business/techn

Replaced article(s) found for econ.TH. https://arxiv.org/list/econ.TH/new
[1/1]:
- Human Misperception of Generative-AI Alignment: A Laboratory Experiment
Kevin He, Ran Shorrer, Mengjia Xia
https://arxiv.org/abs/2502.14708 https://mastoxiv.page/@arXiv_econTH_bot/114040735507903818
- Optimal Procurement Design: A Reduced-Form Approach
Kun Zhang
https://arxiv.org/abs/2504.15555 https://mastoxiv.page/@arXiv_econTH_bot/114386070253243701
- Nondistortionary belief elicitation
Marcin P\k{e}ski, Colin Stewart
https://arxiv.org/abs/2506.12167 https://mastoxiv.page/@arXiv_econTH_bot/114698133040888130
- Exploring the conditions for sustainability with open-ended innovation
Debora Princepe, Cristobal Qui\~ninao, Cristina D\'iaz Faloh, Pablo A. Marquet, Matteo Marsili
https://arxiv.org/abs/2510.01085 https://mastoxiv.page/@arXiv_physicssocph_bot/115303700316225913
toXiv_bot_toot

"Mining the commons: AI extraction, Wikipedia, and the case for a multi-stakeholder settlement"
https://policyreview.info/articles/news/commons-ai-extraction-wikipedia/2089
[via

Governing Generative AI: Epistemic Risks in Knowledge Production and Decision Making
<https://www.sciencedirect.com/special-issue/332909/governing-generative-ai-epistemic-risks-in-knowledge-production-a…

Using your AI chatbot as a search engine? Be careful what you believe https://theconversation.com/using-your-ai-chatbot-as-a-search-engine-be-careful-what-you-believe-277616

Dear generative AI enthusiasts,
Look, I know the tokens you're burning right now don't actually use *that*much energy (even though it's somewhat substantial already and disastrous when we take into account the quality of the crap it's being used for) but what's more important is the appearance (or not) of that token spend on the quarterly earnings report of OpenAI/Anthropic/etc. lays the foundation necessary for those companies to go ahead with their plans for datacenters on a truly ridiculous scale, and those datacenters, if built, ate indeed a climate nightmare which *my kids* will have to live through even if they never benefit from any of it at all. That's (one of many reasons) why I personally need you to stop using generative AI right now.
The fact that the output is crap, the way it erodes your intelligence, and the ways in which it plagiarizes and actively undermines good citation practices are among many other practical reasons not to use it, but what's personal to me is the way that your frivolous sloperation is making the future worse for the baby I'm feeding blueberries to as I type this, and half the time I interact with people like you the conversation begins with some form of "putting aside the ethical issues..."
#AI #GenAI #LLMs

„This means that a large part [of] AI compute revenue is dependent on a continual flow of venture capital and debt, both of which are only made possible by investors that still believe that generative AI will be the biggest, most hugest thing in the world“
https://www.wheresyoured.at/ais-economics-

Fake AI-generated video clip of an elderly blind man seeing his wife after receiving a brain implant for restoring his vision. Will we still know what is real? Reminiscent of the Argus II media coverage before the rise of generative AI https://www.youtube.com/watch?v=CiyGOUHD2nI

This Scammer Used an AI-Generated MAGA Girl to Grift ‘Super Dumb’ Men | WIRED https://www.wired.com/story/ai-generated-maga-girls/ "Emily Hart is one of a slew of AI-generated hot girl MAGA influencers inundating social media, thanks to technologically savvy young men like Sam…

Replaced article(s) found for econ.TH. https://arxiv.org/list/econ.TH/new
[1/1]:
- Human Misperception of Generative-AI Alignment: A Laboratory Experiment
Kevin He, Ran Shorrer, Mengjia Xia

The UK’s creative industries face a “clear and present danger” from generative AI, a House of Lords committee has warned the government.
https://www.computing.co.uk/news/2026/ai/uk-at-fork-in-the-a…

Nvidia says game developers have full "artistic control over DLSS 5's effects", following backlash alleging that the AI upscaling tech altered source material (Tyler Wilde/PC Gamer)
https://www.pcgamer.com/soft…

An Open Letter to Georgetown Students, In Response to Recent Announcements by the University about “Generative AI”
https://medium.com/center-on-privacy-technology/an-open-letter-to-geor…

I’m going to respond in a long thread to @… ’s “Ought You Use a Generative Model,” because doing so crystallizes a bunch of my thoughts on AI and ethics. Apologies for the extra thumb movements if you follow me and aren’t interested! 1/24

Questo truffatore ha usato una ragazza #MAGA generata dall'IA per raggirare uomini "super stupidi".

Uno studente di medicina afferma di aver guadagnato migliaia di dollari vendendo foto e video di una giovane donna conservatrice da lui creata utilizzando strumenti di grafica generativa. E non è il solo.

While Wikimedia content is free, the infrastructure that serves it is not.
Thanks to improvements in bot detection, more than *2 billion* requests per day get currently blocked, which would have otherwise caused further strain on the infrastructure.
https://

On Agentic Behavioral Modeling
Dirk Ostwald, Rasmus Bruckner, Franziska Us\'ee, Belinda Fleischmann, Joram Soch, Sean Mulready
https://arxiv.org/abs/2604.27894 https://arxiv.org/pdf/2604.27894 https://arxiv.org/html/2604.27894
arXiv:2604.27894v1 Announce Type: new
Abstract: Integrating theoretical neuroscience, decision theory, and probabilistic inference offers a promising route to understanding human cognition, yet concrete methodological bridges between agentic AI models and behavioral data analysis remain formally underdeveloped. We advance this synthesis under the framework of agentic behavioral modeling (ABM), which treats artificial agents as latent, generative hypotheses about cognitive mechanisms and evaluates them by their statistical adequacy in explaining human behavior. After outlining its conceptual foundations, we apply the framework to two minimal laboratory paradigms: a binary perceptual contrast-discrimination task and a symmetric two-armed bandit learning task. We formalize each task-agent-data system as a joint probability model, derive explicit conditional log-likelihoods for behavioral inference, validate different model variants using model and parameter recovery simulations, and evaluate them in light of empirical data. Using these minimal examples, we provide an agent-centric interpretation of the psychometric function, derive optimal policies for both tasks, and show the equivalence between Rescorla-Wagner learning and Bayesian inference in symmetric bandits. More broadly, this work may serve as a conceptual and practical foundation for applying ABM to cognitive behavioral science.
toXiv_bot_toot

A Deep Generative Model that Uses Physical Quantities to Generate and Retrieve #Solar Magnetic Active Regions: https://iopscience.iop.org/article/10.3847/1538-4365/ae47d9 -> SwRI harnesses AI to find meaningful matches in solar data: https://www.swri.org/newsroom/press-releases/swri-harnesses-ai-find-meaningful-matches-solar-data

Crosslisted article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[2/2]:
- The Geometry of Harmful Intent: Training-Free Anomaly Detection via Angular Deviation in LLM Resi...
Isaac Llorente-Saguer
https://arxiv.org/abs/2603.27412 https://mastoxiv.page/@arXiv_csLG_bot/116323180390164201
- LongCat-Next: Lexicalizing Modalities as Discrete Tokens
Meituan LongCat Team, et al.
https://arxiv.org/abs/2603.27538 https://mastoxiv.page/@arXiv_csCV_bot/116323299668026852
- Emergent Social Intelligence Risks in Generative Multi-Agent Systems
Huang, Jiang, Wang, Zhuang, Luo, Ma, Xu, Chen, Moniz, Lin, Chen, Chawla, Dziri, Sun, Zhang
https://arxiv.org/abs/2603.27771 https://mastoxiv.page/@arXiv_csMA_bot/116322908437739020
- KVSculpt: KV Cache Compression as Distillation
Bo Jiang, Sian Jin
https://arxiv.org/abs/2603.27819 https://mastoxiv.page/@arXiv_csLG_bot/116323241993833314
- Q-Bridge: Code Translation for Quantum Machine Learning via LLMs
Runjia Zeng, Priyabrata Senapati, Ruixiang Tang, Dongfang Liu, Qiang Guan
https://arxiv.org/abs/2603.27836 https://mastoxiv.page/@arXiv_quantph_bot/116323164660887506
- EffiSkill: Agent Skill Based Automated Code Efficiency Optimization
Zimu Wang, Yuling Shi, Mengfan Li, Zijun Liu, Jie M. Zhang, Chengcheng Wan, Xiaodong Gu
https://arxiv.org/abs/2603.27850 https://mastoxiv.page/@arXiv_csSE_bot/116322989347928729
- Efficient Inference of Large Vision Language Models
Surendra Pathak
https://arxiv.org/abs/2603.27960 https://mastoxiv.page/@arXiv_csLG_bot/116323256085918152
- CDH-Bench: A Commonsense-Driven Hallucination Benchmark for Evaluating Visual Fidelity in Vision-...
Kesheng Chen, Yamin Hu, Qi Zhou, Zhenqian Zhu, Wenjian Luo
https://arxiv.org/abs/2603.27982 https://mastoxiv.page/@arXiv_csCV_bot/116323319000206060
- MOSS-VoiceGenerator: Create Realistic Voices with Natural Language Descriptions
Huang, Fan, Jiang, Jiang, Tu, Zhu, Zhang, Zhao, Yang, Fei, Li, Yang, Cheng, Qiu
https://arxiv.org/abs/2603.28086 https://mastoxiv.page/@arXiv_csSD_bot/116322971980743316
- Does Claude's Constitution Have a Culture?
Parham Pourdavood
https://arxiv.org/abs/2603.28123 https://mastoxiv.page/@arXiv_csCY_bot/116322911684465443
- MiroEval: Benchmarking Multimodal Deep Research Agents in Process and Outcome
Fangda Ye, et al.
https://arxiv.org/abs/2603.28407 https://mastoxiv.page/@arXiv_csAI_bot/116323220038984883
- IsoQuant: Hardware-Aligned SO(4) Isoclinic Rotations for LLM KV Cache Compression
Zhongping Ji
https://arxiv.org/abs/2603.28430 https://mastoxiv.page/@arXiv_csLG_bot/116323286231537351
- Entropic Claim Resolution: Uncertainty-Driven Evidence Selection for RAG
Davide Di Gioia
https://arxiv.org/abs/2603.28444 https://mastoxiv.page/@arXiv_csAI_bot/116323220366355511
- Moving Beyond Review: Applying Language Models to Planning and Translation in Reflection
Seyed Parsa Neshaei, Richard Lee Davis, Tanja K\"aser
https://arxiv.org/abs/2603.28596 https://mastoxiv.page/@arXiv_csHC_bot/116323161382060848
- ResAdapt: Adaptive Resolution for Efficient Multimodal Reasoning
Huanxuan Liao, Zhongtao Jiang, Yupu Hao, Yuqiao Tan, Shizhu He, Jun Zhao, Kun Xu, Kang Liu
https://arxiv.org/abs/2603.28610 https://mastoxiv.page/@arXiv_csCV_bot/116323344559859277
- The Ultimate Tutorial for AI-driven Scale Development in Generative Psychometrics: Releasing AIGE...
Lara Russell-Lasalandra, Hudson Golino, Luis Eduardo Garrido, Alexander P. Christensen
https://arxiv.org/abs/2603.28643 https://mastoxiv.page/@arXiv_csAI_bot/116323236095523987
- SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning
Philip Schroeder, Thomas Weng, Karl Schmeckpeper, Eric Rosen, Stephen Hart, Ondrej Biza
https://arxiv.org/abs/2603.28730 https://mastoxiv.page/@arXiv_csRO_bot/116323253135037252
- ParaSpeechCLAP: A Dual-Encoder Speech-Text Model for Rich Stylistic Language-Audio Pretraining
Anuj Diwan, Eunsol Choi, David Harwath
https://arxiv.org/abs/2603.28737 https://mastoxiv.page/@arXiv_eessAS_bot/116322903493463665
toXiv_bot_toot

Generative "AI" has no idea what it is doing, a story in four images.
The first image is my original drawing (a Venn diagram) with a white background. The second is the same image after I removed the background using GIMP, i.e., made the background layer transparent. The third image is an effort by the "AI system" that is offered as part of my Wordpress setup to create a transparent background. In fact, it has created a new background that is a grey and white grid, a…

Are you in tech and outraged about generative AI? Is it being forced down your throat at work?
Here's a nice vindictive way to get a little revenge if you want:
1. Find a project that contains slop code.
2. Optionally, identify specific files or functions that are LLM-generated. I guarantee you that on average, this code has not been adequately tested/inspected, even/especially if it contains LLM-generated test cases.
3. Make up a reason the code could be flawed, bonus points if it's subtle or hard to test. Don't put effort into this or try to actually find a flaw. Just make something up at random.
4. Report your made-up defect as a bug.
That's it. If anyone ever questions you on the incorrect report, just say "oh I used an LLM and it said there was a bug so I reported it." (Don't actually use an LLM, that would be feeding the bubble.)
Note that you are showing the creator of the code the exact same amount of disrespect that they've shown you by publishing slopcode in the first place. I'd bet odds are 50:50 or better that if a human actually follows up on the report, even though they'll find out that the bug report is wrong, they'll find and fix some other subtle flaw in the LLM-generated code, so this is actually helpful in a way.
For step 3, try to get creative. Like "logic in decideUVParameters can cause state to be inconsistent in some cases." If asked for a steps to reproduce, either make one up if it's easy to do so, or say "I forgot how I triggered this." Surely they can ask an LLM to figure out conditions that would trigger the bug ;).
#AI #LLMs #GenAI

The introduction my next book, the Generative Unconscious, on the dread AI creates among artists (and other people as well), also has a link to the PDF of an early draft of the whole thing. https://varnelis.net/works_and_projects/the-generative-unconscious-introduc…