In today's Two Minutes Hate, I'd like to talk about automatic translations on Reddit.
As a user of English as a second language I find them annoying for two reasons.
One - they always rank high in search results when I specifically need LOCAL knowledge on the topic, coming from other folks from my country, and anything else is useless to me.
Two - when the Reddit thread contains reference to a nationality, e.g. "As a Finnish", their translation switches that to "Jako Polak" ("as a Pole"). And that makes things confusing as hell if I make a grave mistake of diving into a thread I shouldn't have touched in the first place (usually due to the Reason Number One).
I used to appreciate Reddit a lot in the past, but of course it couldn't last forever.
14yo: "What if we stand outside by the door until you take us to [ramen]?"
9yo: "Yeah!"
A: "You can go ahead and do that, but it's too late to go"
me: "There's mosquitoes out there."
14yo: [putting shoes on] "That's fine, I don't care about the mosquitoes"
9yo: [silence]
9yo: [quietly] "I don't like mosquitoes."
14yo: [looks at her, betrayed]
I input a lot of my posts on my phone using swipe typing, which means that I'm prone to making a lot of word-substitution mistakes when I don't check the results carefully enough. Inevitably, a few typos slide past me here and there. This used to bother me a bit and I kept thinking about how to get rid of them, but with the spread of AI slop, I've come to appreciate that they're useful markers that my text is human-authored, and I often don't bother to edit them even when I see one.
My node fell down, but I'll put it up again! 🎵
#meshtastic
Thinking about trading in my #Mazda3 after 19 years and I just learned this trick:
https://mazdas247.com/forum/threads/do-you-want-a-trip-computer…
I'm trying out a new mosquito-control contraption made by Ortho. It features a landing pad laced with powderized, lethal fungus spores (Beauveria bassiana) that can be transferred via tarsi to standing water elsewhere in the yard or in your neighbors' yards. The water in the container also has an insecticide (pyriproxyfen) to kill any larvae that might develop from eggs left by females. It's the home version of the expensive In2Care trap that can only be purchased by licensed pest-control folks. #mosquitoes #ortho #in2care
RE: https://tldr.nettime.org/@tante/116713587055769588
I was actually using LLMs a couple of years ago for text classification. Before that I pushed hard for resources to support automation. I helped build an automation team where none existed. I pushed to use transformer models to solve problems before LLMs existed. I used simple ML to make predictions and classify issues. I've been on the cutting edge for a long time.
I *should* be an early adopter of the modern LLM thing. But tech oligarchs transformed themselves into reverse ouroboros (infinitely shoving their heads up their own asses). The oligarchs never really believed that other people had free will, but I think they had been too scared to let that slip. After the lockdowns, I think they just snapped and here we are.
As much as I trash LLMs, I've had a nuanced critique for a while (wiring about this now). The lack of consent is so huge. The oligarchs have plans for us, and it doesn't involve our consent.
Under different conditions, I do actually think there could be revolutionary elements to this tech (not so much LLMs themselves as LLM MCP, and not for the things they think). But without consent, I think (and hope) the friction will overcome the momentum.
"AI" is already more expensive than humans. It will never be profitable as long as people resist. There are multiplying problems, and I don't see those being fixed without collective effort. I have a lot of thoughts, but "consent" (or the real or implied lack thereof) is central to so many aspects of LLMs.
The oligarchs want to force LLM tech onto all of us without our consent. Ultimately, they want to replace us all with obedient machines. The mistake they made was assuming we would be as obedient as the LLMs with which they have become so obsessed.
Crosslisted article(s) found for cs.IT. https://arxiv.org/list/cs.IT/new
[1/2]:
- Homomorphic Quantum Error Correction
Kornikar Sen, Miguel A. Martin-Delgado
https://arxiv.org/abs/2605.25692 https://mastoxiv.page/@arXiv_quantph_bot/116640053090772171
- Belief-Space Control for Personalized Cancer Treatment via Active Inference
Deniz Sargun, H. Bugra Tulay, C. Emre Koksal
https://arxiv.org/abs/2606.10376 https://mastoxiv.page/@arXiv_csAI_bot/116724820434554519
- A Geometric Profile of Semantic Information in Text: Frame-Conditional Uniqueness and a Trade-Off...
Dmitriy Kompaneets
https://arxiv.org/abs/2606.11222 https://mastoxiv.page/@arXiv_csCL_bot/116730477023664354
- An Entropy-based Framework for Hybrid Coalitions in Game Theory. Part I: Human Arbitration
Salome A. Sepulveda-Fontaine, Jose M. Amigo
https://arxiv.org/abs/2606.11288 https://mastoxiv.page/@arXiv_csGT_bot/116730374222115774
- Additive Noise, Shift Recovery, and Signed Signals in the Cumulative Distribution Transform
Harbir Antil, Ratna Khatri, Aryan Saxena
https://arxiv.org/abs/2606.11432 https://mastoxiv.page/@arXiv_eessSP_bot/116730375993496615
- A Unified Lower Bound on the Noisy Query Complexity of Boolean Functions
Yuzhou Gu, Xin Li, Yinzhan Xu
https://arxiv.org/abs/2606.11448 https://mastoxiv.page/@arXiv_csDS_bot/116730380321553481
- Optimizing Encoder Circuits of Entanglement-Assisted Quantum LDPC Codes via Beam Search
Aditya Sodhani, Pavan Kumar, Shayan Srinivasa Garani, Keshab K. Parhi
https://arxiv.org/abs/2606.11468 https://mastoxiv.page/@arXiv_quantph_bot/116730421187038523
- FlexiBrain: Resolution-Agnostic Voxel-Level Encoding for Native fMRI
Mo Wang, Wenhao Ye, Junfeng Xia, Minghao Xu, Hongkai Wen, Quanying Liu
https://arxiv.org/abs/2606.11500 https://mastoxiv.page/@arXiv_eessIV_bot/116730364588705644
- Measuring language complexity from hierarchical reuse of recurring patterns
Junyi Zhou, Rui Liu, Pengyu Liu, Yu Liu
https://arxiv.org/abs/2606.11531 https://mastoxiv.page/@arXiv_csCL_bot/116730518902862163
- Superspace Concentration and Adversarial Robustness in Quantum Algorithms
Eric Yocam, Christian Yocam, Varghese Vaidyan, Yong Wang, Mahesh Kalappattil, Anthony Rizi
https://arxiv.org/abs/2606.11580 https://mastoxiv.page/@arXiv_quantph_bot/116730474074812546
toXiv_bot_toot