#gnn news

[gothamnewsnetwork-official]

The Second Blood Son - the affair of Mrs. Drake

It is no secret that Gotham’s resident celebrity billionaire, Bruce Wayne (see related articles), has a habit of collecting children like how most other celebrities collect cars, and it is also no secret that Mr. Wayne is a rather promiscuous individual, or at least was in his younger years.

Mr. Wayne has been suspected of being in many relationships with members of Gotham, Star City, Metropolis, one-percent, as well as prominent social figures such as Clark Kent (see related articles), Lois Lane (see related articles), and Lucifer Morningstar (see related articles), and even the occasional vigilante (see related posts).

Despite all this he is only reported to have one biological child. His youngest son, Damian Wayne-Al-Ghul (see related articles), who he gained custody of only a few years back after a seemingly non-existent legal battle with the boy’s mother, Talia Al-Ghul (see related articles).

Mr. Wayne-Al-Ghul seems to be proud of this fact, often joking with his siblings about being the only ‘blood son’ of Mr. Wayne, and therefore the actual heir to Wayne Enterprises instead of his brother, Timothy ‘Tim’ Drake-Wayne (see related articles).

This, of course, is all in good fun, but what if we told you that the youngest Wayne child was, in fact, wrong? That Damian Wayne-Al-Ghul isn’t the sole blood-child of our resident billionaire-himbo?

Earlier today we received an anonymous tip on the subject. The commenter claimed to have been house staff of the Drake family (see related articles) prior to the untimely accident that left Mr. Drake-Wayne an orphan. They claimed that many a time Mr. Drake would make passive-agressive comments towards his wife and son regarding the boy’s parentage.

According to the commenter, Mr. and Ms. Drake were rarely intimate and the pair had a long streak of infidelity (see related articles), Ms. Drake’s alleged cheating starting just shy of a year prior to the birth of their son.

The commenter also includes audio recordings of an argument overheard while they worked at the Drake’s home over both Mr. Drake’s alleged involvement with other women and his refusal to admit to his alleged infertility.

If these claims are to be believed it is almost certain Tim Drake-Wayne is a bastard child, the only question is to whom? There has been prior speculation over Mr. Drake-Wayne’s parentage given that his parents detest for one another was not particularly discreet (see related articles) as well as the fact that he bears a striking resemblance to his adoptive father, Bruce Wayne.

We at Gotham Reports are readily inclined to believe this theory, given the aforementioned similarities, and the fact that Mr. Wayne took in Mr. Drake-Wayne almost immediately after the tragedy. This leads to some rather interesting discussion about whether or not Mr. Drake-Wayne and Mr. Wayne are aware of their alleged blood relation, as well as if it would change anything in the dynamic of the Wayne children (see related articles).

Of course this is all alleged, and given that there has been no move to have Mr. Drake’s genetic parentage tested we may never have a complete answer. Regardless, we believe it is worth noting in any further discussions on the dynamics of the extended Wayne family.

Let us know your thoughts on the topic (here)

Gotham Reports is certified in unbiased, fair, and reliable reporting

See the post that inspired this article (here)

[reasonsforhope]

"A Ghanaian-English entrepreneur has designed an electric bike from the ground up that’s transforming short-range transportation in her home country, proving that problem-solving in Africa can be done in Africa, by Africans.

[Valerie Labi's] company, Wahu!, assembles each bike by hand, and they can travel up to 80 miles [128 kilometers] on a single charge. This means that a delivery rider for Glovo or Bolt can comfortably cover a whole day’s work without refueling.

Anyone who’s visited Accra, Ghana, in the dry season will remember the incredibly poor air quality. Poor roads mean that cars are stuck in second and third gears, and old cars traveling in second and third gears mean plenty of extra car exhaust.

Poor roads also mean exposed dirt, and exposed dirt means fine-grained dust. Combined with a lack of rain, the smog, dust, and car exhaust make the air in parts of the capital unfit for human health.

Wahu! bikes help alleviate all three of these problems, and despite her English nativity [Note: Super weird and unclear way to phrase it?] and education, the bikes were designed and manufactured in Spintex, Accra.

“By introducing electric bikes into Ghana’s transportation ecosystem, we’re not only providing a greener alternative but also offering speed and convenience,” Labi told The Mirror. “Our bikes are a testament to how service delivery can be seamlessly merged with environmental conservation.”

Valerie Labi is a true inspiration, and besides her transportation company, she got her start in the Ghanaian economy in sanitation. She holds a chieftaincy title as Gundugu Sabtanaa, given to her by the previous Chief of the Dagbon traditional area in the Northern Region of Ghana. She has three children, holds a double major in Economics and Sustainability from two separate universities, and has visited 59 countries.

Getting her start in Northern Ghana, she founded the social enterprise Sama Sama, a mobile toilet and sanitation company that now boasts 300,000 clients.

During her travels around the small, densely populated country, she also recognized that transportation was not only a problem, but offered real potential for eco-friendly solutions.

“It took us two years to effectively design a bike that we thought was fit for the African road, then we connected with Jumia and other delivery companies to get started,” she told The Mirror. “Currently, I have over 100 bikes in circulation and we give the bikes on a ‘work and pay’ basis directly to delivery riders.”

According to Labi, each driver pays about 300 Ghana cedis, or about $24.00, per week to use the bike, which can travel 24 miles per hour, and hold over 300 pounds of weight. The fat tires are supported by double-crown front/double-spring rear suspension.

The bikes are also guaranteed by the company’s proprietary anti-theft system of trackers. Only a single bike has been stolen, and it was quickly located and returned to the owner."

-via Good News Network, January 24, 2024

[cbirt]

The geometric characteristics of protein-nucleic acid complexes, which are explored using structural models, are crucial for proteins to recognize and bind nucleic acids. However, these features are limited when compared to unbound proteins. PNAbind is a deep learning method that the University of Southern California researchers have developed for predicting protein-nucleic acid (protein-NA) binding based on a protein’s apo structure. 

The research demonstrates that graph neural network-based models can predict the geometric characteristics of protein molecular surfaces, which in turn can predict RNA binding. These models enable a better understanding of the chemical and structural characteristics determining recognition by differentiating between specificity for DNA and RNA binding. At the individual residue level, the models also predict where nucleic acid (NA) binding sites would be found. The predictions show the promise of these models in understanding protein structures, as they are evaluated against benchmark datasets and match experimental RNA binding data.

In biomolecular activities such as transcription, translation, regulation, and genome structural organization, protein structure is essential. Target recognition and binding by NA binding proteins (NABP) is dependent on the geometric, chemical, and electrostatic features of solvent-exposed side chains as well as their spatial arrangement. Although they are challenging to produce experimentally, structural models of protein-NA complexes offer insights into the physical mechanisms underpinning protein-NA recognition. Just 23% of the roughly 44,000 protein structures with known NA binding functions that are currently in the protein data bank include protein complexes bound to NA. Large-scale projected protein structures that may be examined directly using computational techniques are now available thanks to developments in protein structure prediction.

Continue Reading

[cubbihue]

[lifewtr]

It’s been four months since he’s purchased his new house. There’s nothing left for him to do. Everything is perfect... everything except for the pool.

Satoru jerks awake with a huff. He shoves his sleep mask up, eyes wild and searching for his persistently ringing phone. He catches the time on the digital alarm clock resting on his bedside table just as he scoops up the offending device. 7am on the dot. Who the fuck calls at 7am on the dot?! “...Good morning to you as well.” Comes a delightfully hazy timbre. It’s quiet, rumbly, and is doing things to his interest that his brain can’t keep up with and oh god he is talking out loud isn’t he. “You are.” Comes the sinful voice again. There’s something in the underline of it, like amusement or maybe irritation, but he can’t tell at all. “Gojo Satoru, correct?” What he means to say is ‘you called me’ but what comes out is “And more.” Silence rings loudly across the line. Satoru mentally slaps himself and rolls over into a sitting position. “Yes,” he croaks; clears his throat, “yes, this is me—him, I’m—I. Ugh. I’m sorry about that—this. You woke me up is all. Brain is still kinda loading...” A noncommittal hum is the only response, though it very much sounds like what respectable adult is still asleep at 7am. “Right.” Satoru tries not to feel judged and clears his throat again. “What can I do for you?” “My name is Nanami Kento, I work for Wayfarer Solutions. You left a voicemail yesterday evening about scheduling a consultation for today.” A brief pause. “You also specified for us to return your call as soon as possible.. It seemed urgent, I thought I might oblige.” Satoru pulls his phone away and stares at it. Is this man apologizing or laughing at him?

Splash! on AO3 →

[thefalloutwiki]

Fallout 2: GNN Transcript (October 22, 2077)

“Thanks to the brave souls of the armed forces and our newly developed power armored combat suits, US forces have pushed back the Chinese invaders. Crippled by lack of fuel, US forces have pushed the invaders back to their home capital of Beijing.”

- GNN on October 22, 2077, Fallout 2

You can read more about Galaxy News Network here:

https://fallout.wiki/wiki/Galaxy_News_Network

[simplestoryteller]

wait

Zeus was in Thor: Love and Thunder

khonshu was also uninvited from the orgy

[govindhtech]

Boost Intel CPU Speed for(GNN) Graph Neural Network Training

Graph Neural Network Training (GNN) Accelerated on Intel CPU with Hybrid Partitioning and Fused Sampling

High points

A novel graph sampling technique dubbed “fused sampling,” created by Intel Labs and AIA, may speed up the training of Graph Neural Networks (GNNs) on CPUs by up to two times. One of the most widely used libraries for GNN training, the Deep Graph Library (DGL), now includes the updated sample process.

With the use of a novel graph partitioning technique called “hybrid partitioning,” Intel Labs has been able to significantly accelerate the distributed training of Graph Neural Networks (GNNs) on huge networks. Popular graph benchmarks have seen epoch durations reduced by as much as 30%.

Using 16 2-socket computers, each with two 4th Gen Intel Xeon Scalable Processors (Sapphire Rapids), the combination of fused sampling and hybrid partitioning set a new CPU record for training GNNs on the well-known ogbn-papers100M benchmark, achieving a total FP32 training time of just 1.6 minutes.

In several graph-related tasks, including link prediction in recommendation graphs, molecular graph physical property prediction, and high-level semantic feature prediction of nodes in citation graphs and social networks, Graph Neural Networks (GNNs) have achieved state-of-the-art performance. In many fields, graphs may include billions of edges and millions of nodes.

Training over the whole graph at once may rapidly deplete memory. Sampling-based training is one of the most widely used techniques for training GNNs on big graphs: we randomly select a small portion of the graph (small enough to fit in available memory) for each training iteration and train the GNN on this graph sample. However, as a illustrates, the time required for the graph sampling during each iteration may easily eclipse the time for the forward and backward runs of the GNN.

The graph is often divided among many computers to speed up sampling-based training, as seen in the machines are in charge of producing their own graph samples and using them to train the GNN model. Each computer would need to speak with other machines in order to create a graph sample since the graph topology is divided across the devices. As we generate bigger graph samples, this communication cost will increase. When the GNN model includes additional layers, the graph sample size usually grows.

In the following, we outline two complimentary methods that tackle the significant communication cost associated with distributed sample-based training and the high sampling CPU sampling overhead now experienced by popular machine learning libraries.

1. Combining Sampling

Every training iteration must include graph sampling. Thus, it is essential to sample graphs as quickly as feasible. Popular GNN libraries, like DGL (a popular GNN training library), provide a typical sample pipeline that consists of several phases that each produce intermediate tensors that must be written to and subsequently read from memory.

 2. Adaptable partitioning

When a graph becomes too large to store in the memory of one training machine, it is often divided among many machines. The relevant graph data required for each machine to train the GNN model is requested and provided via inter-machine communication. We have noticed that the majority of the graph representation size is often occupied by the characteristics connected to the graph nodes. More than 90% of the RAM required to display the graph is often occupied by the node characteristics.

Inspired by this finding, we created a novel partitioning technique called hybrid partitioning, which, as splits the graph exclusively according to its node properties while reproducing the relatively tiny graph topology information (the graph’s adjacency matrix) across all training machines. Because the machines only need to communicate node characteristics, this results in a significant decrease in the number of communication rounds in distributed sampling based GNN training trials.

As a fused sampling in conjunction with hybrid partitioning resulted in a significant decrease in epoch durations for distributed sample-based GNN training. Even on its own, hybrid partitioning improves performance; when combined with fused sampling, it increases epoch times by more than two times. We obtain a record-breaking total FP32 training time of under 1.6 minutes on 16 2-socket computers by using hybrid partitioning and fused sampling.

Read more on Govindhtech.com

[cantfindadecentalias]

"Breaking News"

It started with a slight flicker, so small that no one would notice it unless they were looking. But no one ever did. Every night at Global Network News, the broadcast would open with the same polished professionalism: smiling anchors, the gleam of expensive sets, the hum of urgent, breaking news. The faces behind the desk—bright, engaging women—delivered the day’s events with poised clarity. No one in the audience could have guessed that they weren’t in control of their own words anymore.

Alison McNeil, the blonde lead anchor, had been with GNN for over a decade. Her presence commanded attention; she had the charisma of someone who could hold a room in silence without saying a word. But lately, there had been whispers behind the scenes. Production assistants noticed her demeanor changing, almost imperceptibly at first. She had always been fierce in her editorial decisions, pushing back against sensationalism and refusing to be a puppet for corporate interests. But now? Now she simply nodded, smiled, and read the prompter without protest, no matter the message. It was as if something had switched off inside her.

It wasn’t just Alison. The entire newsroom had felt it. Reporters and anchors who once brought fire to the stories they pursued seemed to be drifting, detached, smiling when they shouldn’t, eyes distant. The network’s top journalists were women—strong, brilliant, and independent. But now, they seemed unnervingly... compliant.

Katie, a junior reporter, had noticed it too. She hadn’t been in the industry long, but something felt off. It wasn’t the stories themselves—those were still hard-hitting, still leading the ratings—but there was a slickness now, a subtle, glossy uniformity to the way the news was being reported. The sharp edges had been softened. The passion, the unpredictability, had dulled. The anchors all had the same soft, unwavering tone. The same fixed, unblinking smiles.

The change had come a few months ago when the network had undergone a mysterious rebranding. New ownership, they said. New technology in the control rooms, new state-of-the-art equipment. They’d even revamped the prompter system—smoother, faster, easier for the talent to read. The female anchors were at the heart of this relaunch, their faces now featured on billboards across the city. The audience grew. Viewership skyrocketed. But beneath the surface, something far darker was at play.

Katie had stayed late one night, prepping for an early morning segment, when she heard the strange hum. It came from the tech room—a low, droning sound, rhythmic and almost hypnotic. Curiosity piqued, she slipped down the hall, pushing open the door just a crack. Inside, she saw a series of monitors. On one screen, the image of Alison McNeil's face, perfectly still, was framed in eerie green light. Her lips were slightly parted, her eyes glazed over. Behind her, a technician was muttering commands into a small microphone.

Katie's heart raced. She watched in disbelief as the technician, a young man she'd never seen before, adjusted the audio levels. "Alison, repeat after me: You will follow the script exactly. You will smile. You will deliver the news. You will not question the narrative."

Alison's lips moved mechanically, repeating the words in an empty, monotone voice. The control room was bathed in the soft glow of technology—sleek machines, humming, sending their signals to the anchors’ earpieces during every live broadcast. The voices they heard in their heads weren’t just instructions for the next segment—they were commands. Subtle, undeniable, and inescapable.

Katie pulled back from the door, her breath shallow. She had heard rumors—whispers about the rebranding, the new technology. The anchors' sudden shift in behavior. And now, it was clear. They weren’t just reporting the news anymore. They were being controlled, their minds rewritten with every segment, reshaping how they thought, how they spoke, how they obeyed.

The next morning, Katie watched as Alison took her place behind the desk. Her eyes were bright, her smile warm, but there was nothing behind it. Her voice was smooth, confident, as she delivered the day’s top headlines. But Katie could see it now—the stiffness, the slight delay before Alison spoke, as if waiting for a cue only she could hear. The same unsettling calm had spread across the newsroom, affecting every woman behind the camera and in front of it.

And the viewers? They adored it. Ratings had never been higher. No one questioned the sudden uniformity, the flawless broadcasts, the way each story seemed to fit into a seamless narrative.

GNN had become more than a network. It was now a tool, a finely tuned machine, shaping not just the news, but the minds of those who watched—and those who delivered it. The anchors were no longer just the face of the broadcast. They were the voice of the system, speaking not from their hearts, but from the unseen hands that controlled them.

Katie knew she had to act quickly. But the more she looked, the more she realized how far the influence reached. GNN wasn’t just a newsroom anymore; it was something much more powerful. Something unstoppable.

As Alison smiled into the camera and wrapped up her segment, Katie couldn’t help but wonder how long it would be before she, too, fell under its spell. In a rising panic she fled the studio and ran for the safety of the green room hoping not to draw any attention to herself…

----

An amount of time had passed and Katie sat in the room hiding behind one of the sofas. Her mind was still reeling from all that she had witnessed and she tried so hard to rationalize it all away. The implications of what she had just seen. Alison McNeil, the most respected anchor in the business was being controlled. She kept seeing the lips of her esteemed colleague repeating the script with a blank, almost robotic expression on her face. 

Then suddenly the door to the room creaked slowly open. She could tell without looking that whomever had entered the room had done so deliberately, and stealthily. Katie’s heart pounded as she tried to make herself smaller, and not to let out a yelp. 

“Katie?” Alison’s voice called softly from behind her.

Katie froze. Her blood ran cold as she appeared slowly from behind the couch, her eyes locking with Alison’s. The older woman stood in the doorway, her usually warm expression unsettlingly vacant. The smile was there, but it didn’t reach her eyes. They were glassy, almost hollow, and behind them, Katie could sense something darker at work.

“Katie,” Alison said again, her voice impossibly calm. “What are you doing in here?”

“I, uh…” Katie stammered, trying to find the words. “I was just finishing up work, I—"

Before she could finish, Alison took a step forward into the room, closing the distance between them with eerie precision. Katie instinctively backed up, but almost fell back over the couch. Alison’s movements were unnaturally smooth, her smile unwavering, and the kind of serene expression that should have been reassuring was now sending a chill down Katie’s spine.

“You weren’t… eavesdropping, were you?” Alison asked, her tone as sweet as honey, but with an underlying menace that Katie couldn’t ignore.

“N-No, I was just—”

Alison tilted her head, her eyes narrowing slightly, as though she could see right through the lie. “Katie, we’re all part of the same team here, right? We look out for each other.”

Katie’s throat went dry. She nodded numbly, trying to gauge her options. She could make a run for it, but Alison was too close, and something told her that the older woman wouldn’t let her go that easily.

Suddenly, Alison’s hand moved. Katie flinched as she reached into her pocket, but instead of pulling out a phone or some other device, Alison calmly held up a pair of small, wireless headphones.

“You look confused, Katie,” Alison said, her smile widening just a fraction. “Why don’t you let me help you understand?”

Katie’s eyes flicked to the headphones and then back to Alison’s face. Her heart skipped a beat. She had seen what they were doing to Alison in that room—how they used technology to manipulate her, control her thoughts. And now, Alison was trying to do the same to her.

“No, I’m fine,” Katie said, her voice shaky as tried to maneuver around her and head for the door. “Really, maybe I’m just going to head home.”

But Alison’s hand shot out with startling speed, grabbing her wrist with a firm grip. Her smile didn’t waver, but her eyes flashed with something that sent a wave of terror through Katie.

“Let me help you, Katie,” Alison whispered, her voice impossibly soothing, almost like a lullaby. “You’ll feel so much better once you stop worrying. Just… listen.”

Before Katie could react, Alison pressed the headphones into her hand, forcing her to hold them. Her grip was surprisingly strong, and Katie felt a sinking dread in her chest as she realized she might not have a choice.

“Katie,” Alison’s voice softened even more, dripping with a hypnotic cadence. “All you have to do is put them on. Just for a moment. You’re stressed, I can see it in your eyes. Don’t you want to know the truth? Don’t you want all that confusion to melt away?”

Katie tried to pull her hand back, but Alison’s grip was like iron. The headphones felt heavy in her palm, almost pulsing with the promise of something terrible. She opened her mouth to protest, but Alison’s other hand was already at the back of her neck, gently guiding her closer.

“It’s okay,” Alison cooed, her breath warm against Katie’s ear. “You’re safe with me. Just… let go.”

Katie’s pulse raced, panic rising in her throat. She had to get out. She had to resist. But Alison’s touch was so… calming. It shouldn’t have been, but it was. The older woman’s thumb brushed the back of her neck with a feather-light touch, and Katie felt her muscles involuntarily relax. Her thoughts, once frantic, began to slow, like her mind was being wrapped in a soft blanket.

Alison brought Katie’s hand, still clutching the headphones, up to her ears. “Just listen, Katie. Trust me.”

“No…” Katie whispered weakly, her resistance crumbling as Alison’s voice sank deeper into her thoughts.

Without realizing it, Katie had brought the headphones up to her ears, her fingers trembling. Alison’s eyes softened, her smile warm and encouraging now, as if Katie were a child being comforted.

“Good girl,” Alison whispered. “Now… just let go.”

Katie’s hands moved on their own, sliding the headphones over her ears. The moment they slipped into place, she felt a subtle hum, like a vibration deep inside her mind. It was barely noticeable at first—a soft, rhythmic pulse. But then, a gentle voice came through, low and soothing, weaving into her thoughts.

Relax, Katie… You’re safe… You’re home.

Katie’s vision blurred slightly as the words melted into her consciousness, her eyelids growing heavier. Her heart slowed, her breathing evened out. The voice in her ears was everything now, smooth and inviting, easing her mind into a quiet fog. Alison’s hand remained at the back of her neck, guiding her deeper into the trance.

“You feel it, don’t you?” Alison whispered, her voice barely audible now. “The calm. The peace. No more questions, no more worries.”

Katie’s body sagged, her will slipping away like sand through her fingers. The voice in her ears was the only thing that mattered now, each word wrapping her in a blanket of soft, obedient surrender.

You will listen… You will obey.

Alison’s hand gently stroked the back of Katie’s head, reinforcing the rhythm of the words in her ears.

“You’ll be like us now,” Alison said softly, her voice tender. “You’ll understand soon. This is where you belong, Katie. You’ll help spread the truth… just like I do.”

Katie barely registered Alison’s words, her mind sinking deeper into the warm, pulsing sound in her ears. The last vestiges of her resistance faded, replaced by a deep, overwhelming need to listen. To obey.

The voice whispered one last command, and Katie felt herself nodding in agreement, a soft, blank smile forming on her lips.

Alison smiled, satisfied, as she stepped back and released Katie. “Welcome to the team, Katie. You’re going to love it here.”

[gothamnewsnetwork-official]

Is the Justice League using unpaid child labour?

Though it is not confirmed the exact ages of most heroes and their various sidekicks, it is safe to say that many of them are well below the age of 18, this raises the question of just how good the Justice League really is.

The names Batman and Robin have been closely linked since the creation of the later, the big Bat and his bird-themed sidekick are a staple of both Gotham City and vigilante culture as a whole, but what is the reason for the mantle of Robin being essentially exclusive to children? Though the ethics of all this doesn’t seem to be much of a concern to the various costumes characters of Gotham, one would imagine the Justice League would protest the use of child labour in any form of heroism.

This, however, is not the case. As user Pilztaube ( @emotional-piece-of-meat ) noted in (this post), the League quite accepting such practices. This brings to question the ethics of earth’s mightiest heroes as they seem to be a bit too comfortable with a child being in harms way if it is for the ‘greater good’.

This doesn’t just apply to the Robin’s, as many of the members of the League have had a child sidekick and one point or another, though none have been as young as Robin (the youngest known age of a Robin being 8).

There have even been rumours that more than one member of the team are underage themselves, the most notable being Captain Marvel (see related articles), otherwise known as Shazam. There have been multiple eyewitness accounts of Captain Marvel disappearing, only for a young boy to appear in his stead. Though it has never been confirmed many believe the young boy and Captain Marvel to be one in the same.

Hypocrisy is what many in the villain community are calling it, stating that the JL has been going after them for years under the guise of stopping the usage of child labour when all the while these ‘heroes’ have been doing the exact same thing, and we can’t help but agree.

We would like to make it clear that this journal supports the eradication of child labour, and condemns the league’s usage of such, and find it appalling that they are often times putting children in much worse working conditions than the villains are (see further articles).

We have reached out to multiple members of the Justice League as well multiple villain organizations for further information but none have responded.

We’d love to hear your thoughts on the topic (here)

Gotham Reports is certified in unbiased, fair, and reliable journalism

[gothamnewsnetwork-official]

BREAKING NEWS: Not One, but Two secret marriages within the Wayne household?

Elusive screenshots prove two secret affairs between Gotham and Star City

Monday afternoon a twitter thread was started, less than an hour later it was deleted from the face of the earth. What could be in this elusive twitter thread? The proof of two secret weddings, over two decades apart, between the Elites of Gotham city and Star City. Thankfully Tumblr user @batfamhastwitter was able to chronicle the ordeal and repost it for the world to see.

The thread was started by twitter user silly lily bobily (@lilypoplilypop on twitter) who stated

“honestly if you haven’t had a drunken vegan wedding what are you doing with your life”

To which infamous Star City billionaire, Oliver Queen (@queenofstarcity), replied with

“true that”

This sparked a heated exchange between Mr. Queen, Dick Grayson-Wayne (@not_a_dick_joke), and Roy Harper (@_roy_harper). Mr. Harper is a known associate of Mr. Queen (some may speculate the two to be father and son, but this has never been confirmed), as well as a friend of the Wayne’s two eldest sons (though it may be more than just friendship with one of the two).

Mr. Wayne himself ended up replying to the initial thread, hinting to his involvement in this alleged shotgun wedding, though this is not where the story takes an odd turn. Not only had the marriage between Mr. Queen and Mr. Wayne not been annulled (as the two had previously believed) and therefore had made them legally married for more than two decades at this point, but this also legally makes their children step-siblings (though this may be debated given that nearly all of the Wayne children are adopted and there is no direct proof of Mr. Queen and Mr. Harper being related).

We bring this up to highlight the sheer absurdity of the second half of this situation.

Mr Todd (or Todd-Harper as we will later find) when asked why he was so disconcerted over the idea of his long-term best friend being his stepbrother replied that he didn’t like the idea of being married to his stepbrother. This shocked both Mr. Grayson and later the rest of the extended Wayne family as, according to the thread, the couple had not only eloped but nobody aside from the family buttler, Alfred Pennyworth, had known the two were in any form of romantic relationship.

When asked about it, Mr. Todd-Harper adamantly denied that the two were married and were simply fiancées. Though this would still be a shock to the family, an anonymous source has let us know that there is indeed a marriage license filed for Mr. Jason Todd-Harper and Mr. Roy Todd-Harper (the names stated on the document).

The only potential witness, Mr. Pennyworth, has not been available for comment, therefore the validity of both claims is unknown, however it seems to be leaning towards the fact that yes, the two are married. This publication simply wonders what the next Wayne family scandal will be as they just can’t seem to stay out of the headlines for long.

What are your thoughts on the topic? Let us know (here)

For more posts on this topic click (here), (here), (here)

Gotham Reports is certified in unbiased, reliable, and fair reporting.

Part 7! Next part with more of Bruce, Ollie, and more's reactions will be out soon!

Prev ~ Beginning ~ Next

[reasonsforhope]

"England is celebrating the first pair of beaver kits born in the country since they were reintroduced back into the country’s north last year.

Landscape managers in England are beside themselves with surprise over the changes brought about by a single year of beaver residency at the Wallington Estate in Northumberland—with dams, mudflats, and ponds just appearing out of nowhere across the landscape.

Released into a 25-acre habitat on the estate last year, the four beavers at Wallington are part of a series of beaver returns that took place across the UK starting in 2021 in Dorset. Last year, GNN reported that Hasel and Chompy were released into the 925-acre Ewhurst Estate in Hampshire in January 2023, and the beavers that have now reproduced established their home in Wallington in July.

“Beavers are changing the landscape all the time, you don’t really know what is coming next and that probably freaks some people out,” said Paul Hewitt, the countryside manager for the trust at Wallington. “They are basically river anarchists.”

“This time last year I don’t think I fully knew what beavers did. Now I understand a lot more and it is a massive lightbulb moment. It is such a magical animal in terms of what it does.”

It’s believed that the only animal which alters the natural environment to the same extent as humans is the beaver. Their constant felling of trees to construct dams causes creeks to build up into pools that spill out during rainfall across the land, cutting numerous other small channels into the soil that distribute water in multiple directions.

Hewitt says that in Wallington this has translated to a frantic return of glorious wildlife like kingfishers, herons, and bats.

Recently the mature pair of beavers mated and produced a kit, though its sex is not yet known because beavers don’t have external genitalia.

These beaver reintroductions have led to a raft of beaver sightings around the country. Those at the National Trust working to rewild the beaver back into Great Britain hope the recovery of the landscape will convince authorities to permit further reintroductions to bigger areas."

-via Good News Network, July 16, 2024

[cbirt]

Modeling of protein-small molecule systems offers advantages in speed and generality for exploring interactions with small molecules in the folded state; the modeling of conformational heterogeneity in protein-small molecule systems is deemed an outstanding issue at the atomic level. Researchers from the University of Washington created a graph neural network named ChemNet that was taught to reproduce accurate atomic positions from partially damaged input structures from the Protein Data Bank and the Cambridge Structural Database. ChemNet is a quick and random tool that reliably creates small molecule structures according to their bonding and atom composition. Moreover, it describes the broader protein context, which makes protein-small molecule docking possible.

Atomistic modeling of interactions between metals, nucleic acids, small chemical and inorganic compounds, and proteins is still a complex topic. Although DiffDock, a deep learning-based small molecule docking tool, outperforms previous approaches like Glide and GNINA/SMINA, it is less effective on unknown receptors and in high accuracy regimes. Best-in-class results have been demonstrated by DiffDock and Torsional Diffusion on the synthetic GEOM-DRUGS dataset of drug-like compounds. Unfortunately, the capacity to simulate the entire range of protein functions is limited by the fact that these methods only model particular groups of interaction partners. 

With evolutionary-related protein sequences and structures, RoseTTAFold (RF) and AlphaFold2 (AF2) have made it possible to predict the atomic structure of proteins and protein-protein complexes. Lately, these techniques have been expanded to include the modeling of more general biomolecular systems, including protein-nucleic acid complexes. Even while AlphaFold3 (AF3) seems to perform better than other techniques, it is not yet generally accessible and may not be able to simulate conformational heterogeneity.

Continue Reading

[raven-at-the-writing-desk]

How are you feeling about the new preview of the man? I'm sure you've seen the cards for J-Word already but I'm guessing JP server is going to continue it's trend of crashing when it gets released 🤣

*takes another shot of (nonalcoholic) apple cider*

okay.

Okay.

OKAY.

HERE IT IS, GUYS 😤 mY DEAtILED ANYSlysis OF Yhe nEW J EoRD CARD!!!!!!! !!!!!!!!!!! !!!!! !!!! !!! !!! ! !!! !!!!!!!!!! !!!!!!!!!! !

Did you guys enjoy it??? 🥺 I hope so cuz I worked really hard to put it together 💕

sdhflavylafafefae; OKAY BUT SERIOUSLY I SWEAR SOME TWST DEV WAS RUBBING THEIR HANDS TOGETHER BEHIND THE SCENES AND CACKLING ABOUT HOW THEY'RE GNN A SDNiPE US SO HARD FOR NOVEMBER... LIKE. WHY;S J WORD WINKING... DO YOU CASULLAY LIE ON YOUR MATTRESS AND WINK AT ONLOOKERS WHILE LEAVING YTOUR HAND OUT IN THE OPEN TO BE GRABBED AND HELD/???? ? ?? ? ? ?? ? ????? ? That is NOT normal behavior...

Another part that really gets me is why is he holding his arm like THAT... It almost looks like he's pretending to nurse an injury to lure you into giving him sympathy cuddles. dfvosydgqvyepbqeifPIBHfouv IS HE JUS T TRYING TO DISTRACT YOU FROM CHECKING HIS ROOM FOR ANYTHING SUS HE MIGHT BE HJDING IN THERE ???? ?? ? ??? ?IT'S NOT GONNA WORK, AJDE I KNOW YOU'RE HIDING A PASSED OUT MOB STUDENT IN YOUR CLOSET, RELEASE HIM

ADHFLAFEIUPAEYEGI AIHPEGQ; AND LASTBIG THING I'MLL COMMENT ON IS. AM I NCRAZY OR IS THAT TOP MORE LOW CUT THAN WHAT HE USUALY WEARS??? ? ? ? ????? ? ? ?Cuz normally J word is all or nothing; he's either completely covered up or completely naked (eel form)... BUT HE NEVER DRESSES LIKE THIS WITH COLLARBonE AND (DOTH MY EYES DECEIVE ME) SOME CLEAVAGE SPilLLING OUT>??? ?? ? ???? ? ? ??? ? OTL bEING HiT WITH TRHSI SHIT AFTER A MONTHS' WORHT OF BEING BULLINED INTO THE dIRT ABOUT HE WHO SHALL NOT BE NAMED AND HIS LARGE TRAcTS OF LAND... aND I GOT THE OTHER TBIRtCH AS A LOGIN TOO, IT FEELS LIKE THEY'R EFIGHTING FOR ATTENTION... THIS MUST BE SOME KIND OF CRUEL UFKCING JOKE

Me in the aftermath of the card art drop about to be the skeleton Jamil’s dancing with in his Nightmare Suit Groovy cuz BRO the leech sucked all the life out of me OTL

THEY’RE GONNA hAVE TO DrAG NE OUT oF THAT MaGIC bOOK LOOkin’ ALL BONeY

Side note: Shoutout to my dude Floyd 🫵 who’s manspreading to take up as much space as possible while also wearing the ugliest pajama pants I have ever seen… Takes real courage… also he’s not being as demure and slutty as his brother

[gothamnewsnetwork-official]

Is Bruce Wayne cheating on Superman?

Yesterday evening Timothy Drake-Wayne, son of Bruce Wayne and CEO of Wayne Enterprises, responded to an ask where a concerned citizen asked how the young billionaire knew so much about the nocturnal vigilantes of Gotham.

To this Mr. Drake responded with

“batman is smooching my dad on the DL”

Before Ms. Cassidy ( @metropolis-girl ) responded, therefore bringing the post to the attention of both a random citizen of Gotham who we can only name as Ben ( @someguyingotham ) and Bruce Wayne ( @officialbruciewayne ) himself.

This comes after the 3rd Wayne child stated that Mr. Wayne was in some form of relationship with Superman (see article here).

Now a statement such as this cannot be taken lightly, but given the seemingly professional (yet polarizing) relationship between Mr. Wayne and our infamous resident caped crusader in the media is rather shocking.

Of course there have always been the rumours of Mr. Wayne’s promiscuity (see further articles), some baseless and some not, but there have been little claims about the life of Batman ( @darkknightofficial ) outside of his work.

That being said, there have been many claims of one disappearing from a room only for the other to materialize a few moments later. Some citizens suggest this may be a ‘booty call’ situation, as in the cases where it is Mr. Wayne who initially disappears he consistently returns looking rather disheveled.

The main argument against this theory is the sheer frequency of these occurrences and the places in which they occur (public events, charity galas, etc.) and while this does seem to combat the plausibility of the theory it does not entirely discredit it. We at Gotham Reports reserve the right to withhold judgement upon the personal activities of any individual named in our articles and would ask that you, the reader, do the same.

There is also the fact that the two men are both rumoured to have dated Superman and are assumed to most likely run in the same social circles (see further articles).

Though the jury is still out on the exact verdict of this theory, we at Gotham Reports believe it would not be far fetched to assume that the two have been romantically or physically involved at one point or another.

Let us know your thoughts on the topic (here)

Gotham Reports is certified in unbiased, reliable, and fair reporting

how do you know about all this stuff with the bats hmmmm..... 🤨

batman is smooching my dad on the DL

[artbyblastweave]

In the Fallout Trailer, Walton Goggin's character is shown on horseback in cowboy-adjacent getup at two points in the flashback sequences- once with his daughter, once riding towards the nuclear explosions in LA. In the One-hour GNN stream they did, one of the news-ticker items is that a western film called "The Man From Deadhorse" has busted the box office and has a sequel greenlit. From this I strongly suspect that The Ghoul's backstory is going to turn out to be that he was a cowboy actor who started LARPing as a gunslinger from one of his films, accrued enough experience over 200 years to walk the walk, and then outlived everyone who could call him on it. (I also suspect that this is going to be the justification for why he's so photogenic compared to other ghouls- an aggressive post-ghoulification cosmetic regimen rooted in that residual hollywood vanity.) "Immortal in the post-apocalypse doing a bit for which no-one besides themselves has the necessary context" is one of my favorite beats so I hope I've correctly called this one