Tootfinder

In *today's* #WatchDogsLegion was a prophecy, not a video game:
https://www.vice.com/en/article/beekeeper-unleashed-a-swarm-of-b…

Beekeeper Unleashed a Swarm of Bees on Police During Traffic Stop
A routine seatbelt stop turned into an insect ambush when a 70-year-old beekeeper allegedly sicced his bees on two traffic officers...

Aaron Rodgers blamed Jets' running game for team struggles during '25-minute diatribe'

https://www.cbssports.com/nfl/news/aaron-r

Micah Parsons sends loud message to Jerry Jones after being caught sleeping on Cowboys sideline during Falcons game https://www.sportingnews.com/us/nfl/dallas

Somehow the woeful Salem Sox held on to win. We’d have had fun either way.
Iit was much more pleasant after the blazing sun finally set! A real mercy.

Live Game Updates: Raiders at Cardinals https://www.raiders.com/news/live-game-updates-las-vegas-raiders-at-arizona-cardinals-nfl-preseason-082325

Enhancing Kinematics Understanding through a Video Game Based on Real-Time Motion Graphs
Mateo Dutra, Marcos Abreu, Mart\'in Monteiro, Silvia Sguilla, Cecilia Stari, \'Alvaro Su\'arez, Arturo C. Marti
https://arxiv.org/abs/2508.19119

Enhancing Kinematics Understanding through a Video Game Based on Real-Time Motion Graphs
Interpreting kinematic graphs remains a significant challenge in physics education. The MissionMotion Project addresses this issue by providing a gamified physical-computational environment combining low-cost sensors, physical activity, computational thinking, and real-time visualization of motion graphs. This paper presents the design, development, and implementation of the project, with a particular focus on the pilot phase conducted with high school students in Uruguay. During this phase, we…

No, the Orioles' problem is not that Camden Yards doesn't have enough electronic cheerleading. https://www.thebaltimorebanner.com/sports/orioles-mlb/oriol…

The Orioles can feel like the away team at Camden Yards. A new team exec is trying to change that.
The club’s new chief marketing officer met with members of the team this season and asked what entertainment factors they’d like to see added during the game.

Steelers adding Ben, Pouncey, Porter to team hall https://www.espn.com/nfl/story/_/id/45829303/steelers-adding-roethlisberger-pouncey-porter-hall-honor

Long post, game design
Crungle is a game designed to be a simple test of general reasoning skills that's difficult to play by rote memory, since there are many possible rule sets, but it should be easy to play if one can understand and extrapolate from rules. The game is not necessarily fair, with the first player often having an advantage or a forced win. The game is entirely deterministic, although a variant determines the rule set randomly.
This is version 0.1, and has not yet been tested at all.
Crungle is a competitive game for two players, each of whom controls a single piece on a 3x3 grid. The cells of the grid are numbered from 1 to 9, starting at the top left and proceeding across each row and then down to the next row, so the top three cells are 1, 2, and 3 from left to right, then the next three are 4, 5, and 6 and the final row is cells 7, 8, and 9.
The two players decide who shall play as purple and who shall play as orange. Purple goes first, starting the rules phase by picking one goal rule from the table of goal rules. Next, orange picks a goal rule. These two goal rules determine the two winning conditions. Then each player, starting with orange, alternate picking a movement rule until four movement rules have been selected. During this process, at most one indirect movement rule may be selected. Finally, purple picks a starting location for orange (1-9), with 5 (the center) not allowed. Then orange picks the starting location for purple, which may not be adjacent to orange's starting position.
Alternatively, the goal rules, movement rules, and starting positions may be determined randomly, or a pre-determined ruleset may be selected.
If the ruleset makes it impossible to win, the players should agree to a draw. Either player could instead "bet" their opponent. If the opponent agrees to the bet, the opponent must demonstrate a series of moves by both players that would result in a win for either player. If they can do this, they win, but if they submit an invalid demonstration or cannot submit a demonstration, the player who "bet" wins.
Now that starting positions, movement rules, and goals have been decided, the play phase proceeds with each player taking a turn, starting with purple, until one player wins by satisfying one of the two goals, or until the players agree to a draw. Note that it's possible for both players to occupy the same space.
During each player's turn, that player identifies one of the four movement rules to use and names the square they move to using that rule, then they move their piece into that square and their turn ends. Neither player may use the same movement rule twice in a row (but it's okay to use the same rule your opponent just did unless another rule disallows that). If the movement rule a player picks moves their opponent's piece, they need to state where their opponent's piece ends up. Pieces that would move off the board instead stay in place; it's okay to select a rule that causes your piece to stay in place because of this rule. However, if a rule says "pick a square" or "move to a square" with some additional criteria, but there are no squares that meet those criteria, then that rule may not be used, and a player who picks that rule must pick a different one instead.
Any player who incorrectly states a destination for either their piece or their opponent's piece, picks an invalid square, or chooses an invalid rule has made a violation, as long as their opponent objects before selecting their next move. A player who makes at least three violations immediately forfeits and their opponent wins by default. However, if a player violates a rule but their opponent does not object before picking their next move, the stated destination(s) of the invalid move still stand, and the violation does not count. If a player objects to a valid move, their objection is ignored, and if they do this at least three times, they forfeit and their opponent wins by default.
Goal rules (each player picks one; either player can win using either chosen rule):
End your turn in the same space as your opponent three turns in a row.
End at least one turn in each of the 9 cells.
End five consecutive turns in the three cells in any single row, ending at least one turn on each of the three.
End five consecutive turns in the three cells in any single column, ending at least one turn on each of the three.
Within the span of 8 consecutive turns, end at least one turn in each of cells 1, 3, 7, and 9 (the four corners of the grid).
Within the span of 8 consecutive turns at least one turn in each of cells 2, 4, 6, and 8 (the central cells on each side).
Within the span of 8 consecutive turns, end at least one turn in the cell directly above your opponent, and end at least one turn in the cell directly below your opponent (in either order).
Within the span of 8 consecutive turns at least one turn in the cell directly to the left of your opponent, and end at least one turn in the cell directly to the right of your opponent (in either order).
End 12 turns in a row without ending any of them in cell 5.
End 8 turns in a row in 8 different cells.
Movement rules (each player picks two; either player may move using any of the four):
Move to any cell on the board that's diagonally adjacent to your current position.
Move to any cell on the board that's orthogonally adjacent to your current position.
Move up one cell. Also move your opponent up one cell.
Move down one cell. Also move your opponent down one cell.
Move left one cell. Also move your opponent left one cell.
Move right one cell. Also move your opponent right one cell.
Move up one cell. Move your opponent down one cell.
Move down one cell. Move your opponent up one cell.
Move left one cell. Move your opponent right one cell.
Move right one cell. Move your opponent left one cell.
Move any pieces that aren't in square 5 clockwise around the edge of the board 1 step (for example, from 1 to 2 or 3 to 6 or 9 to 8).
Move any pieces that aren't in square 5 counter-clockwise around the edge of the board 1 step (for example, from 1 to 4 or 6 to 3 or 7 to 8).
Move to any square reachable from your current position by a knight's move in chess (in other words, a square that's in an adjacent column and two rows up or down, or that's in an adjacent row and two columns left or right).
Stay in the same place.
Swap places with your opponent's piece.
Move back to the position that you started at on your previous turn.
If you are on an odd-numbered square, move to any other odd-numbered square. Otherwise, move to any even-numbered square.
Move to any square in the same column as your current position.
Move to any square in the same row as your current position.
Move to any square in the same column as your opponent's position.
Move to any square in the same row as your opponent's position.
Pick a square that's neither in the same row as your piece nor in the same row as your opponent's piece. Move to that square.
Pick a square that's neither in the same column as your piece nor in the same column as your opponent's piece. Move to that square.
Move to one of the squares orthogonally adjacent to your opponent's piece.
Move to one of the squares diagonally adjacent to your opponent's piece.
Move to the square opposite your current position across the middle square, or stay in place if you're in the middle square.
Pick any square that's closer to your opponent's piece than the square you're in now, measured using straight-line distance between square centers (this includes the square your opponent is in). Move to that square.
Pick any square that's further from your opponent's piece than the square you're in now, measured using straight-line distance between square centers. Move to that square.
If you are on a corner square (1, 3, 7, or 9) move to any other corner square. Otherwise, move to square 5.
If you are on an edge square (2, 4, 6, or 8) move to any other edge square. Otherwise, move to square 5.
Indirect movement rules (may be chosen instead of a direct movement rule; at most one per game):
Move using one of the other three movement rules selected in your game, and in addition, your opponent may not use that rule on their next turn (nor may they select it via an indirect rule like this one).
Select two of the other three movement rules, declare them, and then move as if you had used one and then the other, applying any additional effects of both rules in order.
Move using one of the other three movement rules selected in your game, but if the move would cause your piece to move off the board, instead of staying in place move to square 5 (in the middle).
Pick one of the other three movement rules selected in your game and apply it, but move your opponent's piece instead of your own piece. If that movement rule says to move "your opponent's piece," instead apply that movement to your own piece. References to "your position" and "your opponent's position" are swapped when applying the chosen rule, as are references to "your turn" and "your opponent's turn" and do on.
#Game #GameDesign

Stable and Fair Benefit Allocation in Mixed-Energy Truck Platooning: A Coalitional Game Approach
Ting Bai, Karl Henrik Johansson, Jonas M{\aa}rtensson, Andreas A. Malikopoulos
https://arxiv.org/abs/2507.16923

Stable and Fair Benefit Allocation in Mixed-Energy Truck Platooning: A Coalitional Game Approach
This paper addresses the benefit allocation in a mixed-energy truck platoon composed of fuel-powered and electric trucks. The interactions among trucks during platoon formation are modeled as a coalitional game with transferable utility. We first design a stable payoff allocation scheme that accounts for truck heterogeneity in energy savings and platoon roles (leader or follower), establishing core-stability conditions to ensure that no subset of trucks has an incentive to deviate for greater b…

Brian Schottenheimer gets emotional about talking to his father before every game https://www.si.com/nfl/cowboys/news/brian-schottenheimer-gets-emotional-about-talking-father-every-game

EDO: the NFL brings in $5.2B annually in national TV ads; in 2024-2025 ads on streaming-exclusive NFL games were 66% more effective for brands than TV ads (Jason Notte/Adweek)
https://www.adweek.com/convergent-tv/nfl-streaming-ads-effective/

Report: The Only Thing Bigger Than NFL TV Ads Are NFL Streaming Ads
New data from EDO finds that ads during football games on Netflix and Amazon last year were more effective than in-game linear.

Sex toy thrown onto field during Vikings-Titans https://www.espn.com/nfl/story/_/id/46053802/sex-toy-thrown-field-vikings-titans-preseason-game

Why yes, I do like stories about big game hunters being taken out by the animals they're hunting https://www.nytimes.com/2025/08/07/world/africa/big-game-hunter-killed-buffalo-safari-south-africa.html

Big-Game Hunter Is Killed by Buffalo During Safari
Asher Watkins, a real estate executive from Texas, was tracking a Cape buffalo in South Africa when he was attacked, a safari company said.

The Imitation Game: Turing Machine Imitator is Length Generalizable Reasoner
Zhouqi Hua, Wenwei Zhang, Chengqi Lyu, Yuzhe Gu, Songyang Gao, Kuikun Liu, Kai Chen
https://arxiv.org/abs/2507.13332

The Imitation Game: Turing Machine Imitator is Length Generalizable Reasoner
Length generalization, the ability to solve problems of longer sequences than those observed during training, poses a core challenge of Transformer-based large language models (LLM). Although existing studies have predominantly focused on data-driven approaches for arithmetic operations and symbolic manipulation tasks, these approaches tend to be task-specific with limited overall performance. To pursue a more general solution, this paper focuses on a broader case of reasoning problems that are…

Bus Flipper Simulator (PC)
It's House Flipper, but on the open road!
As an RV tiny home "enjoyer" (yes the quotes mean I'm being sarcastic as f), Bus Flipper caught my attention during the most recent Steam Nextfest. I checked out the demo, impressed enough to wishlist it. I bought it on launch (as a bundle with another car based sim I'm reviewing next) and while it's the same game as the demo, I'm a bit disappointed with the full game, but I'm n…

Eric Stokes mic'd up during mock game: 'Let's have fun today!' https://www.raiders.com/video/eric-stokes-mic-d-up-during-mock-game-let-s-have-fun-today

Learning to Communicate in Multi-Agent Reinforcement Learning for Autonomous Cyber Defence
Faizan Contractor, Li Li, Ranwa Al Mallah
https://arxiv.org/abs/2507.14658

Learning to Communicate in Multi-Agent Reinforcement Learning for Autonomous Cyber Defence
Popular methods in cooperative Multi-Agent Reinforcement Learning with partially observable environments typically allow agents to act independently during execution, which may limit the coordinated effect of the trained policies. However, by sharing information such as known or suspected ongoing threats, effective communication can lead to improved decision-making in the cyber battle space. We propose a game design where defender agents learn to communicate and defend against imminent cyber th…

Ashes or Breath: Exploring Moral Dilemmas of Life and Cultural Legacy through Mixed Reality Gaming
Black Sun, Ge Kacy Fu, Shichao Guo
https://arxiv.org/abs/2508.13074 https://…

Ashes or Breath: Exploring Moral Dilemmas of Life and Cultural Legacy through Mixed Reality Gaming
Traditional approaches to teaching moral dilemmas often rely on abstract, disembodied scenarios that limit emotional engagement and reflective depth. To address this gap, we developed \textit{Ashes or Breath}, a Mixed Reality game delivered via head-mounted displays(MR-HMDs). This places players in an ethical crisis: they must save a living cat or a priceless cultural artifact during a museum fire. Designed through an iterative, values-centered process, the experience leverages embodied interac…

Why AI can't possibly make you more productive; long
#AI and "productivity", some thoughts:
Edit: fixed some typos.
Productivity is a concept that isn't entirely meaningless outside the context of capitalism, but it's a concept that is heavily inflected in a capitalist context. In many uses today it effectively means "how much you can satisfy and/or exceed your boss' expectations." This is not really what it should mean: even in an anarchist utopia, people would care about things like how many shirts they can produce in a week, although in an "I'd like to voluntarily help more people" way rather than an "I need to meet this quota to earn my survival" way. But let's roll with this definition for a second, because it's almost certainly what your boss means when they say "productivity", and understanding that word in a different (even if truer) sense is therefore inherently dangerous.
Accepting "productivity" to mean "satisfying your boss' expectations," I will now claim: the use of generative AI cannot increase your productivity.
Before I dive in, it's imperative to note that the big generative models which most people think of as constituting "AI" today are evil. They are 1: pouring fuel on our burning planet, 2: psychologically strip-mining a class of data laborers who are exploited for their precarity, 3: enclosing, exploiting, and polluting the digital commons, and 4: stealing labor from broad classes of people many of whom are otherwise glad to give that labor away for free provided they get a simple acknowledgement in return. Any of these four "ethical issues" should be enough *alone* to cause everyone to simply not use the technology. These ethical issues are the reason that I do not use generative AI right now, except for in extremely extenuating circumstances. These issues are also convincing for a wide range of people I talk to, from experts to those with no computer science background. So before I launch into a critique of the effectiveness of generative AI, I want to emphasize that such a critique should be entirely unnecessary.
But back to my thesis: generative AI cannot increase your productivity, where "productivity" has been defined as "how much you can satisfy and/or exceed your boss' expectations."
Why? In fact, what the fuck? Every AI booster I've met has claimed the opposite. They've given me personal examples of time saved by using generative AI. Some of them even truly believe this. Sometimes I even believe they saved time without horribly compromising on quality (and often, your boss doesn't care about quality anyways if the lack of quality is hard to measure of doesn't seem likely to impact short-term sales/feedback/revenue). So if generative AI genuinely lets you write more emails in a shorter period of time, or close more tickets, or something else along these lines, how can I say it isn't increasing your ability to meet your boss' expectations?
The problem is simple: your boss' expectations are not a fixed target. Never have been. In virtue of being someone who oversees and pays wages to others under capitalism, your boss' game has always been: pay you less than the worth of your labor, so that they can accumulate profit and thus more capital to remain in charge instead of being forced into working for a wage themselves. Sure, there are layers of management caught in between who aren't fully in this mode, but they are irrelevant to this analysis. It matters not how much you please your manager if your CEO thinks your work is not worth the wages you are being paid. And using AI actively lowers the value of your work relative to your wages.
Why do I say that? It's actually true in several ways. The most obvious: using generative AI lowers the quality of your work, because the work it produces is shot through with errors, and when your job is reduced to proofreading slop, you are bound to tire a bit, relax your diligence, and let some mistakes through. More than you would have if you are actually doing and taking pride in the work. Examples are innumerable and frequent, from journalists to lawyers to programmers, and we laugh at them "haha how stupid to not check whether the books the AI reviewed for you actually existed!" but on a deeper level if we're honest we know we'd eventually make the same mistake ourselves (bonus game: spot the swipe-typing typos I missed in this post; I'm sure there will be some).
But using generative AI also lowers the value of your work in another much more frightening way: in this era of hype, it demonstrates to your boss that you could be replaced by AI. The more you use it, and no matter how much you can see that your human skills are really necessary to correct its mistakes, the more it appears to your boss that they should hire the AI instead of you. Or perhaps retain 10% of the people in roles like yours to manage the AI doing the other 90% of the work. Paradoxically, the *more* you get done in terms of raw output using generative AI, the more it looks to your boss as if there's an opportunity to get enough work done with even fewer expensive humans. Of course, the decision to fire you and lean more heavily into AI isn't really a good one for long-term profits and success, but the modern boss did not get where they are by considering long-term profits. By using AI, you are merely demonstrating your redundancy, and the more you get done with it, the more redundant you seem.
In fact, there's even a third dimension to this: by using generative AI, you're also providing its purveyors with invaluable training data that allows them to make it better at replacing you. It's generally quite shitty right now, but the more use it gets by competent & clever people, the better it can become at the tasks those specific people use it for. Using the currently-popular algorithm family, there are limits to this; I'm not saying it will eventually transcend the mediocrity it's entwined with. But it can absolutely go from underwhelmingly mediocre to almost-reasonably mediocre with the right training data, and data from prompting sessions is both rarer and more useful than the base datasets it's built on.
For all of these reasons, using generative AI in your job is a mistake that will likely lead to your future unemployment. To reiterate, you should already not be using it because it is evil and causes specific and inexcusable harms, but in case like so many you just don't care about those harms, I've just explained to you why for entirely selfish reasons you should not use it.
If you're in a position where your boss is forcing you to use it, my condolences. I suggest leaning into its failures instead of trying to get the most out of it, and as much as possible, showing your boss very clearly how it wastes your time and makes things slower. Also, point out the dangers of legal liability for its mistakes, and make sure your boss is aware of the degree to which any of your AI-eager coworkers are producing low-quality work that harms organizational goals.
Also, if you've read this far and aren't yet of an anarchist mindset, I encourage you to think about the implications of firing 75% of (at least the white-collar) workforce in order to make more profit while fueling the climate crisis and in most cases also propping up dictatorial figureheads in government. When *either* the AI bubble bursts *or* if the techbros get to live out the beginnings of their worker-replacement fantasies, there are going to be an unimaginable number of economically desperate people living in increasingly expensive times. I'm the kind of optimist who thinks that the resulting social crucible, though perhaps through terrible violence, will lead to deep social changes that effectively unseat from power the ultra-rich that continue to drag us all down this destructive path, and I think its worth some thinking now about what you might want the succeeding stable social configuration to look like so you can advocate towards that during points of malleability.
As others have said more eloquently, generative AI *should* be a technology that makes human lives on average easier, and it would be were it developed & controlled by humanists. The only reason that it's not, is that it's developed and controlled by terrible greedy people who use their unfairly hoarded wealth to immiserate the rest of us in order to maintain their dominance. In the long run, for our very survival, we need to depose them, and I look forward to what the term "generative AI" will mean after that finally happens.

Raiders backup QB Aidan O'Connell breaks wrist, expected to be out 6-8 weeks https://www.foxsports.com/articles/nfl/raiders-backup-qb-aidan-oconnell-breaks-wrist-expected-to-be-out-68-weeks

Cowboys’ George Pickens Has Hilarious Nickname with CeeDee Lamb https://heavy.com/sports/nfl/dallas-cowboys/george-pickens-nickname-ceedee-lamb/?adt_ei=[email]

I'm pretty sure all the white folks (and anyone else who didn't learn the underlying lessons first hand) were assigned to learn about Red Summer, the Chinese Exclusion Acts, Wilmington 1898, and more than a few other things that came up in cultural conversation during the last Trump presidency. This is all on the test, and you're taking it now.
But in case anyone missed the assignment, I'll give you the TL;DR: ethnic cleansing has been central to American politics basically forever, which shouldn't be surprising given it's a nation founded on genocide and the belief in the right to commit it without constraint.
If you haven't done the math yet, I'll help you out. The "Haitian Immigrants" lets them grab black folks, they've been grabbing folks from Mexico south and lumping in indigenous Americans (just so they don't skip out on the oldest American genocide), and the Muslim ban/Hamas rhetoric lets them grab anyone who else they see fit.
The lack of due process lets them grab anyone and they don't have to prove anything. They're talking about deporting "one million" and possibly"millions" of people. So how do they get those numbers?
There are already reports that they're just grabbing random brown folks, trying to take 3k people per day. They fly to blue cities and grab as many black and brown people as they can, then send them to death camps in foreign countries and pretend they have no way to get them back. That's it. That's the game.
This isn't new. The big difference now is that the cops aren't hiding their uniforms under white hoods this time. Do you get it yet?

Colts to induct late owner Jim Irsay into Ring of Honor during Week 1 game vs. Dolphins https://www.nfl.com/news/colts-induct-jim-irsay-ring-of-honor-week-1-game-dolphins

⚠️ Please BE AWARE that there is a chance that if you transfer your save file from Switch to Switch 2, you may lose it. This person lost 20 years of data that they'd had since their Game Boy Advance. Totally brutal. It's a huge gamble, and to me, might not be worth it if you really value your save data.

'There's nothing I can do. I don't even know if I wanna play anymore' — Pokémon fan left devastated after '20 years worth of data' lost in Switch to Switch 2 transfer
‘My Scarlet save file is gone,’ sobs gamer. They say no error messages popped up during their Friday the 13th transfer attempt.

Aidan O'Connell injury update: Latest news on Las Vegas Raiders quarterback's status https://www.sportingnews.com/us/nfl/las-vegas-raiders/news/aidan-oconnell-injury-update-news-las-vegas-ra…

Commanders to retire Hall of Fame WR Art Monk's No. 81 during 2025 season https://www.nfl.com/news/commanders-to-retire-hall-of-fame-wr-art-monk-s-no-81-during-2025-season

ding-01 :ARG0: An AMR Corpus for Spontaneous French Dialogue
Jeongwoo Kang, Maria Boritchev, Maximin Coavoux
https://arxiv.org/abs/2508.12819 https://arxiv…

ding-01 :ARG0: An AMR Corpus for Spontaneous French Dialogue
We present our work to build a French semantic corpus by annotating French dialogue in Abstract Meaning Representation (AMR). Specifically, we annotate the DinG corpus, consisting of transcripts of spontaneous French dialogues recorded during the board game Catan. As AMR has insufficient coverage of the dynamics of spontaneous speech, we extend the framework to better represent spontaneous speech and sentence structures specific to French. Additionally, to support consistent annotation, we prov…

Wanna Feel Old? The Vans #WarpedTour is 30...
What Other #PunkRock Tour Admits It's Age And Sets Up Its Own Museum?
Kevin Lyman's Tour That First Tried To Bring #Sublime To America Returns To The

Cowboys’ CeeDee Lamb got taken out by a ref during preseason game https://www.sportingnews.com/us/nfl/dallas-cowboys/news/cowboys-ceedee-lamb-ref-preseason-game/bc23b9e55e3b9a1e4f39ad08

Game-Theoretic Gradient Control for Robust Neural Network Training
Maria Zaitseva, Ivan Tomilov, Natalia Gusarova
https://arxiv.org/abs/2507.19143 https://…

Game-Theoretic Gradient Control for Robust Neural Network Training
Feed-forward neural networks (FFNNs) are vulnerable to input noise, reducing prediction performance. Existing regularization methods like dropout often alter network architecture or overlook neuron interactions. This study aims to enhance FFNN noise robustness by modifying backpropagation, interpreted as a multi-agent game, and exploring controlled target variable noising. Our "gradient dropout" selectively nullifies hidden layer neuron gradients with probability 1 - p during backpropagation, w…

This https://arxiv.org/abs/2505.16401 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Divide-Fuse-Conquer: Eliciting "Aha Moments" in Multi-Scenario Games
Large language models (LLMs) have been observed to suddenly exhibit advanced reasoning abilities during reinforcement learning (RL), resembling an ``aha moment'' triggered by simple outcome-based rewards. While RL has proven effective in eliciting such breakthroughs in tasks involving mathematics, coding, and vision, it faces significant challenges in multi-scenario games. The diversity of game rules, interaction modes, and environmental complexities often leads to policies that perform well in…

Immersive Fantasy Based on Digital Nostalgia: Environmental Narratives for the Korean Millennials and Gen Z
Yerin Doh, Joonhyung Bae
https://arxiv.org/abs/2506.10013

Immersive Fantasy Based on Digital Nostalgia: Environmental Narratives for the Korean Millennials and Gen Z
This study introduces the media artwork Dear Passenger, Please Wear a Mask, designed to offer a layered exploration of single-use mask waste, which escalated during the COVID-19 pandemic. The piece reframes underappreciated ecological concerns by interweaving digital nostalgia and airline travel recollections of Millennials and Gen Z with a unique fantasy narrative. Via a point-and-click game and an immersive exhibition, participants traverse both virtual and real domains, facing ethical and en…

Game-Theoretic Modeling of Vehicle Unprotected Left Turns Considering Drivers' Bounded Rationality
Yuansheng Lian, Ke Zhang, Meng Li, Shen Li
https://arxiv.org/abs/2507.03002 …

Game-Theoretic Modeling of Vehicle Unprotected Left Turns Considering Drivers' Bounded Rationality
Modeling the decision-making behavior of vehicles presents unique challenges, particularly during unprotected left turns at intersections, where the uncertainty of human drivers is especially pronounced. In this context, connected autonomous vehicle (CAV) technology emerges as a promising avenue for effectively managing such interactions while ensuring safety and efficiency. Traditional approaches, often grounded in game theory assumptions of perfect rationality, may inadequately capture the co…

3 young players Cowboys may try to hide during preseason game https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/06/17/cowboys-young-players-potential-roster-stash/84239568007/

5 Unheralded Las Vegas Raiders Players To Watch In First Preseason Game https://heavy.com/sports/nfl/las-vegas-raiders/5-players-to-watch-preseason-game/?adt_ei=[email]

Using Psychophysiological Insights to Evaluate the Impact of Loot Boxes on Arousal
Gianmarco Tedeschi, Rune Kristian Lundedal Nielsen, Paolo Burelli
https://arxiv.org/abs/2507.04906

Using Psychophysiological Insights to Evaluate the Impact of Loot Boxes on Arousal
This study investigates the psychophysiological effects of loot box interactions in video games and their potential similarities to those recorded during gambling interactions. Using electrodermal activity (EDA) measurements, the research examines player arousal during loot box interactions and explores the relationship between Internet Gaming Disorder (IGD) severity and loot box interactions from a psychophysiological perspective. The study employs a custom-designed game to control experimenta…

Fantasy Football breakout alert: RJ Harvey already seeing 'ample work' in Broncos pass game during OTAs

https://www.cbssports.co…

MVP-Shapley: Feature-based Modeling for Evaluating the Most Valuable Player in Basketball
Haifeng Sun, Yu Xiong, Runze Wu, Kai Wang, Lan Zhang, Changjie Fan, Shaojie Tang, Xiang-Yang Li
https://arxiv.org/abs/2506.04602

MVP-Shapley: Feature-based Modeling for Evaluating the Most Valuable Player in Basketball
The burgeoning growth of the esports and multiplayer online gaming community has highlighted the critical importance of evaluating the Most Valuable Player (MVP). The establishment of an explainable and practical MVP evaluation method is very challenging. In our study, we specifically focus on play-by-play data, which records related events during the game, such as assists and points. We aim to address the challenges by introducing a new MVP evaluation framework, denoted as \oursys, which lever…

Decentralized online stochastic generalized Nash Equilibrium seeking for multi-cluster games: A Byzantine-resilient algorithm
Bingqian Liu, Guanghui Wen, Liyuan Chen, Yiguang Hong
https://arxiv.org/abs/2507.22357

Decentralized online stochastic generalized Nash Equilibrium seeking for multi-cluster games: A Byzantine-resilient algorithm
This paper addresses the challenge of solving the generalized Nash Equilibrium seeking problem for decentralized stochastic online multi-cluster games amidst Byzantine agents. During the game process, each honest agent is influenced by both randomness and malicious information propagated by Byzantine agents. Additionally, none of the agents have prior knowledge about the number and identities of Byzantine agents. Furthermore, the stochastic local cost function and coupled global constraint func…

Live Game Updates: Raiders vs. 49ers https://www.raiders.com/news/live-updates-las-vegas-raiders-vs-san-francisco-49ers-nfl-2025-preseason

Scottie Scheffler wins The Open Championship; JC Tretter resigns from NFLPA in shocking move

https://www.cbssports.com/golf/news/scottie-…

Live Game Updates: Raiders vs. 49ers https://www.raiders.com/news/live-updates-las-vegas-raiders-vs-san-francisco-49ers-nfl-2025-preseason

CeeDee Lamb gets trucked, flagged by official on Cowboys' sideline during preseason game https://www.sportingnews.com/us/nfl/dallas-cowboys/news/ceedee-lamb-hit-flag-official-sideline-cowboys-preseason/f2…

No chain, no problem: NFL debuts new virtual measurement system during Hall of Fame Game

https://www.cbssports.com/nfl/news/no-chain-no-problem…

Seahawks vs. Raiders Game Highlights https://www.seahawks.com/video/2025-preseason-week-1-seahawks-vs-raiders-game-highlights

#ScribesAndMakers for July 3: When (and if) you procrastinate, what do you do? If you don't, what do you do to avoid it?
I'll swap right out of programming to read a book, play a video game, or watch some anime. Often got things open in other windows so it's as simple as alt-tab.
I've noticed recently I tend to do this more often when I have a hard problem to solve that I'm not 100% sure about. I definitely have cycles of better & worse motivation and I've gotten to a place where I'm pretty relaxed about it instead of feeling guilty. I work how I work, and that includes cycles of rest, and that's enough (at least, for me it has been so far, and I'm in a comfortable career, married with 2 kids).
Some projects ultimately lose steam and get abandoned, and I've learned to accept that too. I learn a lot and grow from each project, so nothing is a true waste of time, and there remains plenty of future ahead of me to achieve cool things.
The procrastination does sometimes impact my wife & kids, and that's something I do sometimes feel bad about, but I think I keep that in check well enough, and for things my wife worries about, I usually don't procrastinate those too much (used to be worse about this).
Right now I'm procrastinating a big work project by working on a hobby project instead. The work project probably won't get done by the start of the semester as a result. But as I remind myself, my work doesn't actually pay me to work during the summer, and things will be okay without the work project being finished until later.
When I want to force myself into a more productive cycle, talking to people about project details sometimes helps, as does finding some new tech I can learn about by shoehorning it into a project. Have been thinking about talking to a rubber duck, but haven't motivated myself to try that yet, and I'm not really in doldrums right now.

Rodney Harrison to be inducted into Chargers Hall of Fame during 2025 season https://www.nfl.com/news/rodney-harrison-to-be-inducted-into-chargers-hall-of-fame-during-2025-season

Talking-to-Build: How LLM-Assisted Interface Shapes Player Performance and Experience in Minecraft
Xin Sun, Lei Wang, Yue Li, Jie Li, Massimo Poesio, Julian Frommel, Koen Hinriks, Jiahuan Pei
https://arxiv.org/abs/2507.20300

Talking-to-Build: How LLM-Assisted Interface Shapes Player Performance and Experience in Minecraft
With large language models (LLMs) on the rise, in-game interactions are shifting from rigid commands to natural conversations. However, the impacts of LLMs on player performance and game experience remain underexplored. This work explores LLM's role as a co-builder during gameplay, examining its impact on task performance, usability, and player experience. Using Minecraft as a sandbox, we present an LLM-assisted interface that engages players through natural language, aiming to facilitate creat…

Raiders safety suffers broken fibula during scrimmage https://www.reviewjournal.com/sports/raiders/raiders-safety-suffers-broken-fibula-during-scrimmage-3409045/

Dallas Cowboys' top-rated players for NFL preseason Week 2 vs. Ravens https://www.si.com/nfl/cowboys/news/dallas-cowboys-top-rated-players-for-nfl-preseason-week-2-vs-ravens

Travis Kelce slams Super Bowl performance: 'I failed, especially in that last game' https://www.nytimes.com/athletic/6436015/2025/06/18/travis-kelce-super-bowl-failed/

Raiders safety Lonnie Johnson Jr. suffered broken leg in mock game, AP source says https://www.foxsports.com/articles/nfl/raiders-safety-lonnie-johnson-jr-suffered-broken-leg-in-mock-game-ap-source-says

Has Cam Little's 70-yard FG convinced the Jaguars to let him try again? https://www.espn.com/nfl/story/_/id/45959074/jacksonville-jaguars-cam-little-70-yard-field-goal-season

Raiders safety suffers ‘significant’ injury in mock game https://www.reviewjournal.com/sports/raiders/raiders-safety-suffers-significant-injury-in-mock-game-3408863/

Cornell baseball players in the dugout during an April 13, 2025 game against Penn
#cornell #sports #ithaca #baseball

Gabriel: 'Entertainers' remark not about Shedeur https://www.espn.com/nfl/story/_/id/46001710/dillon-gabriel-entertainers-remark-not-shedeur-sanders

Cowboys' devastating playoff loss among 25 moments to change NFL history https://www.si.com/nfl/cowboys/news/cowboys-devastating-playoff-loss-among-25-moments-to-change-nfl-history

Live Game Blog: Raiders at Seahawks https://www.raiders.com/news/live-updates-las-vegas-raiders-at-seattle-seahawks-nfl-2025-preseason

Colts backup OL Freeland carted off with leg injury https://www.espn.com/nfl/story/_/id/45995199/colts-offensive-lineman-freeland-carted-leg-injury

Raiders starting safety carted off field with leg injury during mock game https://raiderswire.usatoday.com/story/sports/nfl/raiders/2025/08/02/raiders-starting-safety-carted-off-camp-field-with-leg-inju…

Eric Stokes Mic’d Up During Raiders Mock Game: ‘Let’s Have Fun Today!' https://www.youtube.com/watch?v=GWX84JK6i80

Seahawks RB runs into Marshawn Lynch, who is apparently an NFL photographer now https://www.sportingnews.com/us/nfl/las-vegas-raiders/news/seahawks-runs-marshawn-lynch-apparently-nfl-photographer-now/7…

Tua: I'm not 'too cool' to play preseason games https://www.espn.com/nfl/story/_/id/45860422/tua-tagovailoa-preseason-not-too-cool-get-reps