Tootfinder

Human-AI Co-Creation: A Framework for Collaborative Design in Intelligent Systems
Zhangqi Liu
https://arxiv.org/abs/2507.17774 https://arxiv.org/pdf/2507.1…

Human-AI Co-Creation: A Framework for Collaborative Design in Intelligent Systems
As artificial intelligence (AI) continues to evolve from a back-end computational tool into an interactive, generative collaborator, its integration into early-stage design processes demands a rethinking of traditional workflows in human-centered design. This paper explores the emergent paradigm of human-AI co-creation, where AI is not merely used for automation or efficiency gains, but actively participates in ideation, visual conceptualization, and decision-making. Specifically, we investigat…

Dynamic Hybrid Modeling: Incremental Identification and Model Predictive Control
Adrian Caspari, Thomas Bierweiler, Sarah Fadda, Daniel Labisch, Maarten Nauta, Franzisko Wagner, Merle Warmbold, Constantinos C. Pantelides
https://arxiv.org/abs/2506.18344

Dynamic Hybrid Modeling: Incremental Identification and Model Predictive Control
Mathematical models are crucial for optimizing and controlling chemical processes, yet they often face significant limitations in terms of computational time, algorithm complexity, and development costs. Hybrid models, which combine mechanistic models with data-driven models (i.e. models derived via the application of machine learning to experimental data), have emerged as a promising solution to these challenges. However, the identification of dynamic hybrid models remains difficult due to the…

Click A, Buy B: Rethinking Conversion Attribution in E- Commerce Recommendations
Xiangyu Zeng, Amit Jaspal, Bin Liu, Goutham Panneeru, Kevin Huang, Nicolas Bievre, Mohit Jaggi, Prathap Maniraju, Ankur Jain
https://arxiv.org/abs/2507.15113

Click A, Buy B: Rethinking Conversion Attribution in E- Commerce Recommendations
User journeys in e-commerce routinely violate the one-to-one assumption that a clicked item on an advertising platform is the same item later purchased on the merchant's website/app. For a significant number of converting sessions on our platform, users click product A but buy product B -- the Click A, Buy B (CABB) phenomenon. Training recommendation models on raw click-conversion pairs therefore rewards items that merely correlate with purchases, leading to biased learning and sub-optimal conv…

I have my share of issues with Parkrose Permaculture, but she has a lot of things I do strongly agree with. I can't stress enough that you never dehumanize your enemies. You can respond appropriately to violence. You can defend yourself from them by any means necessary. But you do not dehumanize them. You always limit your response to the minimum necessary to defend yourself.
There are a number of former Nazi skins who became antifascists after realizing they were wrong. Those folks tend to be some of the most dedicated because they feel a debt, and some of the most knowledgeable because they were there. Coming out of these types of cults, police included, is hard and takes time. A lot of us don't have the ability to work with them. But some do.
By repeatedly humanizing your opponent, you can break some of them. The #Seattle Police Department was not defunded but saw a massive reduction in numbers because their morale was destroyed. Some people will never change. Some people are broken and feel like they need the power. But if you change one person's mind, even give them something to think about, it's a crack. If even one cop quits, that's one less trained gun pointed at you in the future.
The 18 year old marines and federalized national guard troops out there are literally kids. A lot of them came from poor communities. They are being used in a way they haven't been trained to do, doing things they (should) have been told are not legal. They joined to get out of poverty, to go to college, or to "defend the American people" (regardless of how misguided that is). Few, if any, of them joined to abuse people. They will be especially open to persuasion.
Remind those troops that they are carrying out illegal orders, that they are being called on to violate their oath to protect the constitution, that they are suppressing the free speech of the fellow Americans they swore to defend. Remind them that the people they could be illegally arresting now are just like their parents, their neighbors, their families, the friends who didn't join. Remind them that this is the first step. They will be called on to kill Americans if they let this keep going.
Remind them ICE sleeps in hotels while they sleep on the ground. Remind them that their drunk and incompetent leadership thinks of them as disposable tools. Remind them that some of these people are out protesting *for them* against cuts to the VA and other services. Remind them that the people they're defending refuse to make college free so they can recruit from poor schools. Remind them that they will always be welcome when they're ready to join the side of freedom and justice.
When you dehumanize your enemies, you unify them. When you humanize your enemies, you can divide them. There is no weapon available to us right now so powerful as compassion.
https://youtu.be/YtWOYUDMsBw

Barium isotopic ratios in metal-poor stars: calibrating the method with globular clusters
Riano E. Giribaldi, Laura Magrini, Jose Schiappacasse-Ulloa, Sofia Randich, Thibault Merle
https://arxiv.org/abs/2508.14208

Barium isotopic ratios in metal-poor stars: calibrating the method with globular clusters
Identifying the nucleosynthesis processes behind heavy-element enrichment in stellar atmospheres is challenging. It typically relies on comparing observed abundance-to-iron ratios with theoretical predictions relative to the Sun, but this method is prone to uncertainty due to limitations of classical 1D hydrostatic models. One promising but still underexplored approach is to measure the isotopic composition of stellar atmospheres by focusing on elements that have both slow (s)-process and rapid…

"""
But there is no certainty that madness was content to sit locked up in its immutable identity, waiting for psychiatry to perfect its art, before it emerged blinking from the shadows into the blinding light of truth. Nor is it clear that confinement was above all, or even implicitly, a series of measures put in place to deal with madness. It is not even certain that in this repetition of the ancient gesture of segregation at the threshold of the classical age, the modern world was aiming to wipe out all those who, either as a species apart or a spontaneous mutation, appeared as 'asocial'. The fact that the internees of the eighteenth century bear a resemblance to our modern vision of the asocial is undeniable, but it is above all a question of results, as the character of the marginal was produced by the gesture of segregation itself. For the day came when this man, banished in the same exile all over Europe in the mid-seventeenth century, suddenly became an outsider, expelled by a society to whose norms he could not be seen to conform; and for our own intellectual comfort, he then became a candidate for prisons, asylums and punishment. In reality, this character is merely the result of superimposed grids of exclusion.
The gesture that proscribed was as abrupt as the one that had isolated the lepers, and in both cases, the meaning of the gesture should not be mistaken for its effect. Lepers were not excluded to prevent contagion, any more than in 1657, 1 per cent of the population of Paris was confined merely to deliver the city from the 'asocial'. The gesture had a different dimension: it did not isolate strangers who had previously remained invisible, who until then had been ignored by force of habit. It altered the familiar cityscape by giving them new faces, strange, bizarre silhouettes that nobody recognised. Strangers were found in places where their presence had never previously been suspected: the process punctured the fabric of society, and undid the familiar. Through this gesture, something inside man was placed outside of himself, and pushed over the edge of our horizon. It is the gesture of confinement, in short, which created alienation.
"""
(Michel Foucault, History of Madness)

Parametric pair production of collective excitations in a Bose-Einstein condensate
Victor Gondret, Rui Dias, Clothilde Lamirault, L\'ea Camier, Amaury Micheli, Charlie Leprince, Quentin Marolleau, Scott Robertson, Denis Boiron, Christoph I. Westbrook
https://arxiv.org/abs/2508.01654

Parametric pair production of collective excitations in a Bose-Einstein condensate
By exciting the transverse breathing mode of an elongated Bose-Einstein condensate, we parametrically produce longitudinal collective excitations in a pairwise manner. This process also referred to as Faraday wave generation, can be seen as an analog to cosmological particle production. Building upon single particle detection, we investigate the early time dynamics of the exponential growth and compare our observation with a Bogoliubov description. The growth rate we observe experimentally is i…

AI, AGI, and learning efficiency
My 4-month-old kid is not DDoSing Wikipedia right now, nor will they ever do so before learning to speak, read, or write. Their entire "training corpus" will not top even 100 million "tokens" before they can speak & understand language, and do so with real intentionally.
Just to emphasize that point: 100 words-per-minute times 60 minutes-per-hour times 12 hours-per-day times 365 days-per-year times 4 years is a mere 105,120,000 words. That's a ludicrously *high* estimate of words-per-minute and hours-per-day, and 4 years old (the age of my other kid) is well after basic speech capabilities are developed in many children, etc. More likely the available "training data" is at least 1 or 2 orders of magnitude less than this.
The point here is that large language models, trained as they are on multiple *billions* of tokens, are not developing their behavioral capabilities in a way that's remotely similar to humans, even if you believe those capabilities are similar (they are by certain very biased ways of measurement; they very much aren't by others). This idea that humans must be naturally good at acquiring language is an old one (see e.g. #AI #LLM #AGI

RADAR: Recall Augmentation through Deferred Asynchronous Retrieval
Amit Jaspal, Qian Dang, Ajantha Ramineni
https://arxiv.org/abs/2506.07261 https://

RADAR: Recall Augmentation through Deferred Asynchronous Retrieval
Modern large-scale recommender systems employ multi-stage ranking funnel (Retrieval, Pre-ranking, Ranking) to balance engagement and computational constraints (latency, CPU). However, the initial retrieval stage, often relying on efficient but less precise methods like K-Nearest Neighbors (KNN), struggles to effectively surface the most engaging items from billion-scale catalogs, particularly distinguishing highly relevant and engaging candidates from merely relevant ones. We introduce Recall A…

Non-Heuristic Selection via Hybrid Regularized and Machine Learning Models for Insurance
Luciano Ribeiro Galv\~ao, Rafael de Andrade Moral
https://arxiv.org/abs/2506.05609

Non-Heuristic Selection via Hybrid Regularized and Machine Learning Models for Insurance
In this study, machine learning models were tested to predict whether or not a customer of an insurance company would purchase a travel insurance product. For this purpose, secondary data provided by an open-source website that compiles databases from statistical modeling competitions were used. The dataset used presents approximately 2,700 records from an unidentified company in the tourism insurance sector. Initially, the feature engineering stage was carried out, which were selected through …