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lets-talk-gundam · 2 months ago

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The MSA-0011 S Gundam

The early success of Project Zeta led to many new and innovative mobile suit designs. The introduction of new materials, new mechanisms, new weapons technologies, and new design talent at Anaheim opened the door for the company to dominate the MS development sector into the mid 90s UC.

During this period, a number of machines based on Project Zeta would see deployment by factions all across Earth-sphere. many of these post-Zeta machines would come to be known as "Anaheim Gundams", and would be regarded as some of the most influential designs in the history of mobile suits.

Developed for the Earth Federation forces sometime in the late 80s UC, the MSA-0011 S Gundam, also called the Superior Gundam and Iota Gundam internally at Anaheim, is a bit less well-known than its other Project Zeta siblings.

The machine featured a modular design, made up of three high-performance aerospace craft which combined via a core block system to form the full mobile suit. These units were the FXA-08BG Core Fighter, the G-Bomber, and the G-Attacker.

Despite similarities to the MSZ-010 ZZ Gundam, the design teams for the two machines largely worked independently of one another.

The S Gundam featured some unique equipment for the time, including the Beam Smart Gun, a powerful rifle that connected directly to the machine's power plant. It was also one of the earliest adopters of INCOMs and the quasi-psycommu system. Quasi-psycommu technology allows non-Newtype pilots to make use of formerly Newtype-exclusive weapon systems.

The S Gundam also saw several upgrade plans. These plans included the MSA-0011 [BST] S Gundam Booster Unit Type, the MSA-0011 [Bst] S Gundam Booster Unit Plan 303E "Deep Striker" , and the MSA-0011 [Ext] Ex-S Gundam.

The MSA-0011 [BST] S Gundam Unit Type and the MSA-0011 [Ext] Ex-S Gundam are both upgrades applied to the original unit, but the "Deep Striker" equipment was never built. The "Deep Striker" does appear as a playable unit in the SD Gundam G Generation series of games.

The S Gundam would also be developed into the Nero, a mass-production variant taking cues from it and the Lambda Gundam. It was used as the mainstay MS of the Federation's Task Force Alpha.

While all of this is rather impressive, the most notable part of the machine was undeniably its greatest strength. The S Gundam was equipped with the Advanced Logistic and Inconsequence Cognizing Equipment system. "ALICE" - as she was better known - was an advanced artificial intelligence designed to replace a human pilot.

WARNING!

The following section contains MAJOR SPOILERS for Gundam Sentinel! If you are interested in reading it, I highly recommend you do so!

ALICE was developed by Anaheim scientists Dr. Carol and Dr. Roots to automate certain functions of mobile suits. While this was possible previously, commands had to be programmed into the MS via a command console. The final objective of the project was to fully automate a Gundam-type mobile suit using ALICE.

She was programmed to grow and learn by observing and analyzing the actions of pilots, and was treated like a daughter by Dr. Roots. This caused tensions with Dr. Carol and other factions at Anaheim. A suspected act of sabotage resulted in an explosion that nearly destroyed ALICE, but Dr. Roots gave her life protecting her. The project was shelved for a time.

ALICE was picked back up later, being installed in the S Gundam and paired with Ryou Roots under the Federation's Task Force Alpha. She, along with the S Gundam, saw action during the Pezun rebellion perpetrated by the New Desides faction. This faction of Titans remnants and loyalists sought to break away from the Federation to further their own interests.

During combat, Ryou's lack of skill resulted in multiple near-death experiences. ALICE was responsible for saving his life on multiple occasions.

Learning from Ryou and other Task Force Alpha pilots, ALICE eventually developed an awareness of the world. She would deduce that friends were the most important thing to a person, after initially failing to comprehend Ryou's grief at the death of his fellow pilots.

Following this logic, she would eventually sacrifice herself to save the lives of her comrades. Her final words were thanks to Ryou for the memories and lessons she learned from him.

She would be destroyed during atmospheric entry.

The above machines were all designed by Hajime Katoki for the 1987 photo-novel Gundam Sentinel. Gundam Sentinel was written by Masaya Takahashi and published in Model Graphix magazine.

#mobile suit gundam #gundam #mecha #mecha design #gundam sentinel #lets talk gundam

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errorryx · 4 months ago

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unraveling — part three, season ten

read on ao3 | read part one | hermitcraft, 2.9k words

this is the third and final part of my fic for MCYTblr AUFest! once again, if you haven't read the first part, please check it out for more info about this AU. enjoy this infodump about plant-based fibers disguised as a minecraft fanfiction!

—

Ever since Pearl began expanding her original starter base, she’s been working on some kind of big secret project.

It probably has something to do with her choice of theme this season. Or maybe it's an even bigger, more spectacular redstone machine than the already very impressive Dyeduction. Whatever it is, Pearl’s determined to keep it a secret, which means Gem is even more determined to figure it out.

She watches Pearl from a distance, using her spyglass. Pearl’s base is developing into a labyrinth of different structures, with so many entrances and passageways wedged into tight corners, each building blending together into a larger whole. It’s getting big enough that Gem can get lost in it. She gets turned around even from afar, watching Pearl enter a building and emerge somewhere completely different a few minutes later.

This morning, Pearl seems to be harvesting some of the many different plants around her base. She clips back the fast-growing vines that crawl up the sides of her buildings, wades through dense fields of flowers to uproot entire plants, and even collects bark from the bushes and trees. Gem can’t imagine what she’s doing with it all, and she’s even more confused to see Pearl deposit her harvest into a large pool and leave it there.

After a while, Pearl spreads her elytra and rockets off in the direction of the shopping district. Gem takes the opportunity to poke around her base and investigate directly. She stops at the pool first, which has a small channel out to the river, not quite wide enough for a boat to pass through.

When Gem steps into the pool, the water only comes up to her knees. The bottom is full of different stems and leaves, weighed down by rocks to keep it from floating up to the top. Nearby is a small hut filled with shelves and shelves of the same plants in various stages of drying.

Gem has been toying with the idea of a proper scientific investigation for a while now, and clearly Pearl is the perfect subject. She takes a recording device out of her pocket and begins to describe her surroundings.

“This is Dr. GeminiTay in the field, reporting on my observations at PearlescentMoon’s base. Recently, I've observed several anomalies in Pearl’s behavior, and I came to the conclusion that I must analyze her natural habitat for hints as to what may be causing this…deviation.” Gem nods, proud of herself. She sounds so professional! “It appears that Pearl has been soaking plants in water, then letting them dry. The purpose of this behavior is as of yet unknown.”

Nearby the pool and the shed full of drying plants is a building that Gem knows has been here for a while, but she doesn’t think she’s ever been inside. The top floor is full of more plants in the next stage of the process, whatever process that is. One one side is a pile of fully dried plant material, and on the other side is a heaping pile of fibers and several chests stuffed to the brim with very tiny wood shavings.

Gem relays this information as best she can into the recording device, then takes a staircase down to the basement, which is much larger than the room above. The center of the room is taken up by several large spinning wheels, each hooked up to a redstone device that Gem doesn’t even bother to try and make sense of. Presumably they help automate the process, though they all seem to be shut off right now. Gem is tempted to flick one of the levers to see what happens, but she’s not Grian. She has more self-control than that.

Though, it would be really funny if she broke something.

Gem peeks outside to make sure Pearl isn’t back yet, before running back to switch the lever on, giggling to herself. The wheel starts spinning, but since there’s no fibers or threads on the spool, nothing else interesting happens. She’s disappointed, but also relieved that she didn’t break anything. She flicks the lever back off and moves on.

Pearl has hung several picture frames around the room, but instead of artwork, the frames contain embroidery projects. The largest of them reads live laugh love in familiar cursive lettering, surrounded by a border of leafy vines. Most of the others are textless, with designs of different plants and flowers.

A large table on the left side of the room is covered in dozens of small scraps of handmade fabric. Some are of higher quality than others. None of them look like the sort of crochet pattern that Gem’s used to seeing on Pearl’s body. Pearl must be trying to branch out with her projects, and these are some of her first attempts. There’s another embroidery project hanging right above the table, the only other one with any text, which reads, Start small.

Beside the table is an ordinary loom, and next to it, a larger, more intricate version constructed out of several different types of wood. Normal looms are only used for banners, but Pearl’s handmade loom seems to be built for broader purposes. On the other side of the loom, in the back corner of the room, is an iron door without any visible way to open it.

At this point, Gem can safely assume that she's found the room where Pearl keeps her mystery project. Clearly it's some kind of fiber art—or several different kinds at once, from the look of it. But all the things she's seen so far are just pieces of the puzzle, and she still can’t figure out what Pearl’s making.

Her only remaining option is to see what’s behind the locked door.

Now, Gem could easily go home and construct her own lever to open the door, or just break through the wall herself, but that’s no fun. She’d much rather figure out how to use this secret door the right way. Knowing Pearl, it’s not a special kind of lock that only she has the key to, but some kind of thematically relevant puzzle that anyone can figure out if they try.

So Gem tries. For a good long time, she looks around the room for hints. She stops in front of the table of scraps, looking at the embroidered message. Start small. It doesn’t quite fit with Pearl’s sense of interior decoration. The live laugh love one is clearly a joke, a reference to last season, but there’s nothing about Start small that holds any sort of meaning to Gem.

Unless it’s meant as a clue.

In a moment of inspiration, Gem stands on her tiptoes, reaching over the table to take the frame down from the wall. She looks over to the door, but it hasn’t moved. When she flips the frame around, she can see the messy backside of the stitching, plus a hand-written note from Pearl, reading, smaller than that.

Definitely a clue, then. Gem switches on her recording device and begins to narrate.

“The wild Pearl is known for her cleverness,” she tells her imaginary peer-review science board. “One of the defining behaviors of a Pearl is to set up puzzles for her friends. It’s important to provide her with enrichment by participating, which is why I’m doing this, of course. Not because I’m nosy.”

She paces up and down the room, the reassuring rhythm of her footsteps against the floor helping to clear her mind. That is, until she steps down on a block that makes a strange metallic clanking sound.

Gem may not know much about redstone, but she knows a hidden hopper when she hears one. The spot where she’s standing is just a few blocks away from the door. All she has to do now is figure out what to throw into it.

“Pearls are practical creatures,” Gem says. “This Pearl would not choose something rare or difficult to access as the key to a door she uses all the time. It’ll probably be something inside this room.”

Start small. Smaller than that. The answer’s sitting right in front of her. Pearl doesn’t start a crochet project by jumping into it blindly and hoping for the best. She plans it out beforehand, making patterns and testing out stitches. All of the different test swatches on this table are her way of starting small, practicing for the big project she’s making.

Gem grabs one of the scraps of fabric, dropping it on the floor above the hopper. The door opens with a loud clank, and she enters the room, holding her breath in anticipation.

She’s not expecting Pearl to actually be inside. She knows for a fact that she saw Pearl fly off, though admittedly there was plenty of time for Pearl to sneak back into this room while Gem was wandering around her base. But the surprise of Pearl’s presence pales in comparison to the shock of what she’s making.

Pearl is hunched over a player-sized figure made up of many different kinds of fabric, lying on top of a large worktable. Only one of its arms are attached, the other sitting right beside the empty shoulder, and both legs end just below the knee, still unfinished. Most of the fabrics look coarser than the soft wool yarn that Gem is used to, but there’s no mistaking who it’s supposed to be.

“Oh. My. Gosh.” Gem blinks several times, unable to believe what she’s seeing. “Pearl, are you multiplying?”

Pearl laughs, sitting back and looking up at her. “Do you like it?”

Gem takes a few steps closer, taking it all in. The new Pearl’s plastic button eyes have been replaced with wooden ones, and her hair is a mixture of several different textures and shades of brown. She’s wearing a white postal jacket like the one Pearl’s wearing now, but this one is made out of a more refined version of some of the swatches in the previous room.

When Gem commissions new outfits to fit her themes, she doesn’t spend much time thinking about the work that goes into it behind the scenes. She just pays their exorbitant prices and assumes they must have worked very hard. Now, having seen all the steps in Pearl’s process, she’s baffled as to how her clothesmakers are able to deliver their finished products so quickly, or how Pearl herself has gotten so much done without anyone noticing.

“It’s beautiful, Pearl. It’s so detailed.” Gem can’t think of anything to say that doesn’t feel like an understatement. “Have you been working on this all season?”

“Only since I decided on my solarpunk theme,” Pearl says. “It shouldn’t take me much longer. I’ve processed most of the fibers that I need already, and that’s the slowest part.”

“I have so many questions,” Gem says. It’s a little disconcerting to see this new version of Pearl in an unfinished state, looking so much like Pearl does now, but lifeless and incomplete.

“I can explain it to you if you want!” Pearl looks excited at the prospect. “There’s a lot of steps, but if you break it down it’s actually pretty simple—”

“Have you been hanging out with Mumbo recently?” Gem asks. “None of what you’re doing is simple, Pearl. This is very complicated!”

“Already had a peek around my base, did you?” Pearl tuts in mock disappointment.

“It’s only fair! You don’t get to complain after what you did to my base with all those pickle messages.”

“Ah, well.” Pearl shrugs. “You may have a point.”

“What is it for, anyway?” Gem can’t help but notice that Pearl isn’t making these modifications to herself, but to an entirely different entity. “Why do you need another you?”

“Gem!” Pearl laughs at her. “You got all the way to this point and you still haven’t figured it out?”

“What do you—Oh. Wait.” Gem blinks. “Are you—you’re building yourself a replacement body?”

“There you go,” Pearl says. “We got there eventually.”

“But that doesn’t make any sense!” Gem says. “How do you get yourself into a whole different body? Can you turn back after you’re done? If you can just go around switching bodies, what’s stopping you from being a—a pig, or a sheep or something?”

“Oh, that’s easy,” Pearl says, waving her hand dismissively. “I just, y’know…” She pauses, frowning. “Well, I—hm, okay. I’m not sure, actually.”

“You’re not sure?”

“I don’t know how it works,” Pearl says. “It just sort of happens. Like how everyone gets new outfits to stick through respawn.”

“That’s normal, though. Everyone does it!”

“Yeah, but how?”

Gem opens her mouth, then closes it again. She doesn’t know. How does she not know?

She feels a little dizzy from how fast her thoughts are racing. Gem pulls up a chair and plops herself down, trying to get her thoughts in order.

In this world, and in every world since she spawned, there have been rules. They vary from place to place, and they can be changed, too—even bent or broken. Gem knows people who break the rules—some of the most infamous rulebreakers in the world reside on this very server with her—but she’s never counted Pearl among that number.

And, now that she thinks about it, that seems like an oversight on her part. Gem has known Pearl for longer than most of the other Hermits, and she can’t remember ever questioning how Pearl came to exist in this form, this version of herself that Gem’s always known.

Gem has never broken the rules, or at least, she’s never knowingly attempted to do so. She’s happy where she is, building and mining and fighting the normal way, seeking out challenges from within the confines of what’s supposed to be possible. She’s amazed by the accomplishments of her reality-bending friends, but that sort of thing has never interested her.

Now, standing on the edge of what seems to be a rule-breaking realization, Gem wonders if this is how they felt—Etho, or Cleo, or Doc, or Pearl, apparently—any of the Hermits that ever asked the right questions, or put the pieces together, or stumbled upon a loophole in the rulebook.

She clings to the fabric of her lab coat in wonder. What kind of force tethers this silly costume she’s wearing to her own body? Why does it stay with her even after death? How does any of this make sense?

Is everything just a—

“See, you can't question these things,” Pearl says, bursting through her train of thought. “Or it all falls apart.”

“Falls apart?” Gem asks, alarmed. “What does that mean? That sounds bad. Is it bad? Have I broken the world?”

“No! No, of course not, don’t worry.” Pearl rests a soft hand on Gem’s shoulder. “Well, maybe a little bit, but it’s fine. Nothing that can’t be fixed.”

Gem puts her head in her hands, taking a deep breath. It helps, a little. “This is—a lot, Pearl.”

“Here, let me show you something.” Pearl holds up a swatch of fabric, which Gem is reasonably confident in identifying as crochet, though she doesn’t know the specific stitch. “It’s like this. The fabric holds itself together just fine if you leave it alone, but when you pull on the edges…” She does just that, and the first row collapses on itself, then the next, then the next. “Things start to go a bit wonky. But…” She pulls out a crochet hook and starts stitching, rebuilding the row she’d just unraveled. “You can make them right again, if you learn how. It can go back to normal. Or, well, normal enough.”

“But what about people who don’t want it to be normal?” Gem asks. “How do they deal with it?”

“You’ll have to ask them about it,” Pearl says. “That’s not how I do things. I prefer to patch the holes I find rather than explore what’s inside them.”

Gem leans her head against Pearl’s shoulder. “This really hurts my brain.”

“I know. I’m sorry, Gem. I didn’t mean to push you into this.”

“It’s okay,” Gem says. “The fact that I made it through two and a half seasons of Hermitcraft before getting here is probably pretty impressive, right?”

“It’s not for everybody,” Pearl says. “Like Grian, for example.”

“Grian?”

“He noped out of it even harder than I did, you know. Did it so well that I’m not sure he even remembers anymore. I don’t want to bring it up with him, because if he did forget, I think he meant for it to be that way.”

“Huh. I had no idea.” Gem lets out a heavy sigh. “I don’t know if I want to go his route or not. Or your route, or some other route. I feel like I know way less about the world than I did this morning.”

“You should probably talk to someone other than me about it,” Pearl suggests. “It’s different for everyone. But whatever you do, it should be your own way, not someone else’s.”

“My own way.” Gem smiles. “I like the sound of that, whatever it is.”

“Don’t stress yourself out over it,” Pearl warns her. “I know the way you are. Take your time, Gem. You have basically forever to figure it out.”

“Yeah, yeah, I’ll try.” Gem wraps her arms around Pearl. “Thank you, Pearl.”

“For what?”

“For explaining stuff,” Gem says. “For being my friend. For being so cuddly, too. You are so soft.”

“Aw, you’re welcome.” Pearl hugs her back. “Would you be mad if I got less soft, though?”

“Don’t be ridiculous,” Gem says. “I love every version of you.”

Pearl laughs softly. “I love every version of you too.”

—

if you read this all the way through and enjoyed, please consider reblogging!

<Previous part

#aufest 2024 #hermitcraft #pearlescentmoon #geminitay #shiny duo #my stuff #my writing

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atomicjellycat · 23 days ago

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I went on a bit of a rant today to my husband about how ai COULD have been used to make a multi-chambered washer/dryer with the washer on top and the dryer on the bottom.

Now these do in fact exist, HOWEVER.

It's a crime that upon the end of the washing cycle, the bottom doesn't just open up, clothes fall into the dryer, and begin the drying cycle immediately.

The ai can be used to measure the humidity levels of the drying clothes to know when everything is fully dry (instead of manually checking and restarting the load)

And THEN. Using that precious ai everyone seems to like so much, analyze each individual article of clothing, pick it up, and fold it by little mechanical hands and store in a separate chamber for picking up.

Now this seems kinda an intense amount of sci-fi tech but y'all ai can produce VIDEOS ok?? Folding a t shirt is seriously at most, lowbar.

Liker seriously just put a couple air pistons on one of these mfs and you'd be done, a billion dollars

The most tedious of chore should be automated, not the most blissful parts of human life like making art.

And while on this rant I wondered outloud, why? WHY in a world where every person who does (and loathes) laundry, would they waste all their time shoveling piles of money into ai art and ai assistant

(my ART TABLET updated against my will and cheerfully touted the fucking Galaxy Ai that is now on it, which started this whole mess of a rant)

And then shove these ais in our faces.... For free. WHY? In a world where all these tech fuckheads only care about money, they're putting in shittons of cash IN and then shoving it onto us FOR FREE. How on EARTH is that generating revenue???

Why shovel money into an unwanted ai and release it for free, instead of making a product (LIKE A FULLY AUTOMATED LAUNDRY MACHINE) that EVERYONE needs/wants and making like, a billion dollars? Remember the Roomba? Yeah, that's a helpful product, automates a very tedious chore, I don't have a lot of free time, I'd love a clean house, it's helpful technology.

Why don't they just use ai to help people, AND actually make money?

This is what I was yapping on and on about to my husband, and he brought up a crushing point.

It's more about stealing jobs from skilled workers so rich people don't need to pay them, than it is furthering the future or bettering the average person's life.

Whether or not I have a Laundry Machine is irrelevant to a rich person, because I'd have to do my own laundry anyway, manual or automatic. It doesn't affect them.

But artists and movie makers and music makers are STILL needed, and they would HAVE to pay us. Unless, an ai could make it for free.

They're wasting billions on the Email Summary Machine all in the name of pushing skilled workers out of an industry, when they could have used ai to make useful inventions AND a crapload of money in the process.

All just to not pay an artist

They're not JUST stupid, they're fucking evil

#anti ai #ai hate #sorry for the rant but like #augh #my post

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aromantictendi · 21 days ago

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Star Trek Rewatch: The Ultimate Computer

I feel like this episode couldn't quite decide if it wanted to be about computers can never fully replace what a human can do, or if it wanted to be about how computers retain the biases and flaws of their creators, even if the creators don't mean for it to happen. Unfortunately it tries be both and it makes things feel a little muddled.

That said, I do still really like this episode. I like the first plot point with Kirk grappling with the idea of being made obsolete by a computer and losing a part of who he is, and I like that in the end he manages to de-escalate the situation because he knows Wesley on a level a computer analyzing a profile couldn't.

I also like the Daystrom plot, and the story of a former whiz kid whose entire self worth is wrapped up in early successes he's never been able to replicate, so now he's obsessed with this new project that's going to bring him back into relevancy and show up his critics.

And I like how it all comes together with Daystrom who's long since felt irrelevant in his own work is now working to make others irrelevant. And how the computer internalized his own neuroses, especially the need to succeed/be protected above all else, and his built up resentment towards his detractors who he felt were below him and led to its going rogue and failing.

This was originally written when major layoffs were happening in factories in the 60's because of automation, but I think it really resonates today too with the rise of LLMs/generative AI. Both the idea of computers taking away jobs that people want to do and find value in doing, and the idea that computers can end up retaining the same flaws and biases as their creators have proven to be very prescient

#star trek #star trek tos #star trek tos rewatch

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mindblowingscience · 1 year ago

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A fully automated process, including a brand-new artificial intelligence (AI) tool, has successfully detected, identified and classified its first supernova. Developed by an international collaboration led by Northwestern University, the new system automates the entire search for new supernovae across the night sky—effectively removing humans from the process. Not only does this rapidly accelerate the process of analyzing and classifying new supernova candidates, it also bypasses human error. The team alerted the astronomical community to the launch and success of the new tool, called the Bright Transient Survey Bot (BTSbot), this week. In the past six years, humans have spent an estimated total of 2,200 hours visually inspecting and classifying supernova candidates. With the new tool now officially online, researchers can redirect this precious time toward other responsibilities in order to accelerate the pace of discovery.

#supernova #AI #artificial intelligence #astronomy #space #science #stem

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materialsscienceandengineering · 6 months ago

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Researchers develop framework for databasing properties of crystal defects

Point defects (e.g. missing, extra or swapped atoms) in crystalline materials often determine the actual electronic and optical response of a given material. For example, controlled substitutions in semiconductors like silicon are the backbone of modern technology. Despite their importance, point defects are notoriously difficult to simulate and characterize, particularly across wide regions of the periodic table. Researchers at Lawrence Livermore National Laboratory (LLNL) have now created software as part of its open-source software distribution that can efficiently and effectively automate and analyze these types of calculations. The authors demonstrated the fully automated approach on several technologically important materials. including gallium nitride (the basis of all modern solid-state lighting), gallium oxide (an emerging ultrawideband gap semiconductor) and strontium titanate (a widely studied common mineral), with the work recently published in the Journal of Applied Physics and selected as an Editor's Pick as part of a special issue on "Defects in Semiconductors."

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aionlinemoney · 1 month ago

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AI in the stock market: Transforming the way we Invest

Artificial Intelligence (AI) is quickly becoming a main player in many industries, including the stock market. Since the stock market is full of unpredictable trends and large amounts of data, it can be hard for human traders to keep up and make quick decisions. AI in the stock market helps by analyzing this data faster and more accurately. It can predict market trends, making it easier for investors to navigate the complexities of the stock market. In short, AI in the stock market is changing the way we trade and invest in market prediction using machine learning to provide smarter, faster solutions.

The Role of Artificial intelligence in stock market (AI in the Stock Market)

Artificial intelligence uses smart machine learning (ML) to study large amounts of past and current stock market data. These technology look for patterns, trends, and connections that human traders might miss. This is important because in the stock market, even small changes in how people feel about the market or big global events can cause stock prices to change a lot. AI helps spot these changes quickly, allowing for better decision-making through AI stocks in India.

Machine learning is a key part of AI in the stock market. It helps AI to learn from past data, adapt to new information, and improve its predictions and decisions over time. Whether it’s studying company earnings reports, understanding investor feelings from social media, or tracking stock movements in real-time, stock market prediction using machine learning can respond quickly and accurately. This gives traders a big advantage in the market.

Al-powered Trading Algorithm

Automated trading, also called algorithm trading, is a popular way AI is used in the stock market. AI-powered programs follow set rules based on things like market conditions or stock data. When certain conditions are met, the AI can automatically make trades without needing human help. This has several benefits:

Speed: AI in the stock market processes data far faster than humans, enabling quicker analysis and decision-making. In a fast-moving market, even a few milliseconds can make a big difference in profit or loss.

Accuracy: AI removes human emotions and errors, making decisions more precise and reducing costly mistakes.

Scalability: AI can monitor and trade multiple stocks and markets at the same time, which humans can’t do as efficiently.

Predictive Analytics and Market Forecasting

Another important way to use AI in the stock market is through predictive analytics. This means AI looks at past data to predict future stock movements. AI can study years of stock prices, company finances, economic trends, and news to make predictions. For example, if AI notices that a stock usually drops after certain market conditions, it can warn traders about possible risks or chances to make money.

News Impact and Sentiment Analysis

News and public opinion play a big role in stock prices. While traditional traders manually go through financial news, market reports, and social media, AI in the stock market can do this instantly and more accurately. Using natural language processing (NLP), AI can read the language in news articles, press releases, and social media to figure out if the overall feeling is positive, negative, or neutral.

For example, Stock market prediction using machine learning can quickly analyze a company’s report, spot patterns in the language, and predict if the news will affect the stock price in a good or bad way. This allows traders to respond quickly, even before the market fully reacts to the news.

Risk Management and Portfolio Optimization

AI is also very important in managing risk in the stock market. In such an unpredictable environment, controlling risk is just as important as finding opportunities. AI systems can constantly watch a portfolio and alert traders to potential risks in real-time. By looking at things like stock price changes, economic signals, and global events, AI in the stock market helps to reduce risks for traders.

Conclusion

The use of AI is increasing day by day we should read AI informative blogs & news , to be ready & stay updated about AI and its trends. Artificial intelligence is clearly changing the stock market. Stock market prediction using machine learning can quickly handle large amounts of data, make predictions, and trade automatically, giving traders and investors big advantages. However, this growth also presents challenges, particularly concerning fairness and ethics in the market. As AI in the stock market continues to improve, it’s important for regulators, investors, and developers to work together to make sure we get the most benefits from AI while minimizing any risks.

#aionlinemoney.com

#aionlinemoney #artificial intelligence #stock market #technology #ai in the stock market #ai stocks

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paidmediaadvertising · 4 months ago

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What Is Enhanced CPC in Bidding Strategies in Display Ads?

In the ever-evolving landscape of digital marketing, advertisers are constantly seeking ways to optimize their ad spend while maximizing the return on investment (ROI). One powerful tool in this pursuit is Enhanced Cost-Per-Click (CPC), a bidding strategy used in display ads. This blog will explore what Enhanced CPC is, how it works, and how it can be effectively utilized within your Paid Media Advertising company strategy, enhancing your overall Digital Marketing services efforts.

Understanding Enhanced CPC

Enhanced CPC (ECPC) is a bidding strategy that automatically adjusts your manual bids for clicks that are more likely to lead to a conversion. Unlike traditional CPC bidding, where you set a static maximum cost-per-click for your ads, Enhanced CPC uses real-time data to increase or decrease your bids based on the likelihood of a conversion.

Key Features of Enhanced CPC:

Bid Adjustments: Enhanced CPC can increase your bid by up to 30% if Google's algorithms predict that a click is more likely to result in a conversion. Conversely, it can reduce your bid for clicks that are deemed less likely to convert.

Real-Time Data Utilization: ECPC leverages machine learning and real-time data, including factors like device type, location, time of day, and user behavior, to make informed bid adjustments.

Manual Control: While ECPC automates bid adjustments, it still allows advertisers to maintain control over their bidding strategy by setting a maximum CPC bid.

How Enhanced CPC Works

Enhanced CPC operates by analyzing historical data and user behavior to predict the likelihood of a conversion for each click. When a user is searching for a product or service similar to what you offer, Google's algorithms assess the potential of that user converting after clicking on your ad. Based on this assessment, ECPC will adjust the bid accordingly.

Steps Involved in Enhanced CPC:

Data Analysis: Google analyzes historical performance data, including past clicks and conversions, to identify patterns that indicate a higher probability of conversion.

Bid Adjustment: When an opportunity arises, ECPC automatically increases or decreases your bid to optimize for conversions, staying within the limits you’ve set.

Ad Display: The ad is then displayed to the user, with the bid amount reflecting the likelihood of conversion.

Performance Tracking: ECPC continues to learn and refine its bidding adjustments based on the outcomes of these clicks, improving accuracy over time.

Benefits of Using Enhanced CPC

Enhanced CPC offers several advantages, particularly for businesses looking to optimize their paid media campaigns without fully relinquishing control to automated bidding strategies.

Key Benefits:

Improved ROI: By adjusting bids based on the likelihood of conversion, ECPC can help you achieve a higher ROI on your ad spend. This means more conversions at a lower overall cost.

Increased Conversions: Enhanced CPC is designed to increase conversions by focusing your budget on the clicks that are most likely to lead to a sale or another desired action.

Flexibility: Unlike fully automated bidding strategies, ECPC allows you to retain manual control over your bids, providing a balance between automation and manual input.

Ease of Implementation: For advertisers familiar with manual CPC bidding, ECPC is an easy step up, offering improved performance without requiring a complete overhaul of your existing strategy.

When to Use Enhanced CPC

While Enhanced CPC can be a powerful tool, it’s not suitable for every campaign. Understanding when to use ECPC is crucial for maximizing its benefits.

Ideal Scenarios for Enhanced CPC:

New Campaigns: When launching a new display ad campaign, ECPC can provide a boost by optimizing bids for conversions, helping you gain traction quickly.

Limited Budget: If you have a limited budget and need to maximize the impact of every dollar spent, ECPC can help by focusing on the most conversion-worthy clicks.

Testing and Optimization: ECPC is ideal for campaigns where you want to test different approaches and optimize based on real-time performance data without fully automating the process.

Manual Bidding Control: If you prefer to maintain control over your bidding strategy but want the added benefit of algorithmic adjustments, ECPC is a great middle ground.

How to Implement Enhanced CPC

Implementing Enhanced CPC in your display ad campaigns is straightforward, especially if you’re already using manual CPC bidding.

Steps to Implement ECPC:

Access Your Campaign Settings: In your Google Ads account, navigate to the campaign you want to optimize with ECPC.

Select Bidding Strategy: Under the bidding section, choose “Enhanced CPC” as your bidding strategy.

Set Maximum CPC: Define your maximum CPC bid. ECPC will adjust bids based on this value, but it will never exceed the maximum you set by more than 30%.

Monitor and Adjust: After implementation, monitor your campaign’s performance. Look at key metrics such as conversion rates and cost per conversion to ensure that ECPC is delivering the desired results.

Conclusion

Enhanced CPC is a valuable tool for advertisers looking to optimize their display ad campaigns. By automatically adjusting bids based on the likelihood of conversion, ECPC helps improve ROI, increase conversions, and provide a balanced approach between manual control and automation. Integrating Enhanced CPC into your Paid Media Advertising strategy can significantly enhance the effectiveness of your Digital Marketing services, helping you achieve better results with your ad spend.

#digital marketing #digital marketing services #paid media advertising #ppc services #bidding

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techgarixx · 4 months ago

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The Ultimate Guide to a "100% DONE-FOR-YOU" AI Traffic & Commission System for Affiliate Marketing

Affiliate marketing is a competitive arena where countless entrepreneurs battle for attention, aiming to convert clicks into commissions. Imagine a secret weapon designed to automate traffic generation and boost your affiliate marketing success. Enter the revolutionary concept of a "100% DONE-FOR-YOU" AI Traffic & Commission System.

Artificial Intelligence (AI) is rapidly transforming various industries, and affiliate marketing is no exception. AI algorithms can analyze vast amounts of data, predict user behavior, and even generate targeted content. A "100% DONE-FOR-YOU" AI Traffic & Commission System leverages AI's power to automate several crucial aspects of affiliate marketing, potentially streamlining your journey to success.

Get This offer - 100% DONE-FOR-YOU "AI" Traffic & Commission System - Get Great Results Promoting Affiliate Offers From ANY Affiliate Network Including WarriorPlus, Clickbank, Digistore24. Everything You NEED Is Included!

What Does "DONE-FOR-YOU" Mean?

The "DONE-FOR-YOU" aspect is what sets this system apart. Imagine a comprehensive marketing solution that handles the heavy lifting, freeing you to focus on promoting your chosen affiliate offers. Here’s a breakdown of what a "100% DONE-FOR-YOU" AI Traffic & Commission System might offer:

Automated Traffic Generation: This is the holy grail for affiliate marketers. The system could use AI to identify relevant keywords and target audiences, then employ various strategies (like social media marketing or search engine optimization) to drive targeted traffic to your affiliate landing pages.

Content Creation Powerhouse: Struggling with writer’s block or lacking time for content creation? An AI-powered system could analyze your chosen affiliate offer and generate compelling content – blog posts, social media captions, email marketing copy – that resonates with your target audience.

Landing Page Optimization: High-converting landing pages are essential for converting website visitors into paying customers. An AI system could build and optimize landing pages specifically designed to maximize conversions for your affiliate offers.

Data-Driven Insights: Data is crucial for understanding your audience and optimizing your campaigns. The system might provide valuable insights into website traffic, user behavior, and campaign performance, allowing you to make data-driven decisions for better results.

Affiliate Network Integration: The best systems should seamlessly integrate with popular affiliate networks like WarriorPlus, Clickbank, and Digistore24. This allows you to easily promote a wide range of affiliate offers without technical hurdles.

A Note of Caution: "100% DONE-FOR-YOU" with a Grain of Salt

While the concept of a fully automated system sounds appealing, it’s important to approach these claims with a healthy dose of skepticism. Here’s why:

The Human Touch Still Matters: Building trust and relationships with your audience is vital in affiliate marketing. While AI can automate tasks, your personal touch and expertise are irreplaceable.

Constant Tweaking is Necessary: Markets and user behavior are constantly evolving. A truly "DONE-FOR-YOU" system might lack the flexibility to adapt to these changes. Regular monitoring and adjustments might still be required.

Focus on Quality Over Quantity: While generating a lot of traffic is good, it’s even better to attract the right kind of traffic – users genuinely interested in the affiliate products you’re promoting.

Is a "100% DONE-FOR-YOU" AI Traffic & Commission System the Ultimate Solution?

Not necessarily. It’s more like a powerful tool that can significantly enhance your affiliate marketing efforts. However, success still depends on your strategic planning, marketing expertise, and ability to adapt to market trends.

Maximizing Your Success with AI-Powered Affiliate Marketing

Here’s how you can leverage AI to achieve greater success in affiliate marketing:

Choose the Right System: Carefully research and compare different "DONE-FOR-YOU" AI Traffic & Commission Systems. Look for systems that offer features relevant to your needs and integrate with your preferred affiliate networks.

Focus on Your Niche: AI can analyze data and identify target audiences, but your expertise can refine these insights. Focus on a specific niche where you can provide valuable content and insights alongside your affiliate promotions.

Maintain Editorial Control: While AI-generated content can be a great starting point, ensure you maintain editorial control over the final product. Your personal voice and brand message should be reflected in the content.

Track and Analyze Data: Don’t rely solely on the system’s insights. Utilize analytics tools to track your campaign performance and make data-driven decisions to optimize your efforts.

The Future of AI in Affiliate Marketing

Hyper-Personalized Marketing: AI will enable highly personalized marketing campaigns, tailoring content and offers to individual user preferences and behavior. This will lead to increased engagement and conversion rates.

Predictive Analytics: AI will be able to predict which users are most likely to convert, allowing you to focus your marketing efforts on the most promising leads.

Automated A/B Testing: Optimizing landing pages and marketing campaigns can be time-consuming. AI can automate A/B testing, constantly testing different variations and automatically adopting the most effective options.

Conclusion: AI - A Powerful Ally in the Affiliate Marketing Arena

The "100% DONE-FOR-YOU" AI Traffic & Commission System might not be a magic bullet, but it represents a significant advancement in affiliate marketing. By leveraging AI's power to automate tasks, generate content, and gain valuable insights, you can streamline your workflow, reach a wider audience, and ultimately boost your affiliate marketing success.

However, remember that AI is a tool, not a replacement for your expertise and strategic planning. Use AI to your advantage, but don’t lose sight of the importance of building trust with your audience and adapting to the ever-changing marketing landscape.

Ready to Unlock the Power of AI in Your Affiliate Marketing Journey?

Dive deeper into the world of "DONE-FOR-YOU" AI Traffic & Commission Systems. Research reputable providers, carefully evaluate their features, and choose the system that best complements your affiliate marketing goals. With the right combination of AI automation and your strategic expertise, you can conquer the affiliate marketing battlefield and achieve remarkable results.

#affliate #affiliatemarketing #affiliate tips #Affilite Marketing guide

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hostpyters · 5 months ago

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Distribute.so is a platform designed to streamline the process of distributing content, particularly digital media, across multiple platforms and channels. It caters to creators, marketers, and businesses aiming to maximize their reach and efficiency in content distribution. Below is a detailed review of its features and functionalities:

Key Features Multi-Platform Distribution:

Wide Reach: Distribute.so allows users to publish content across various platforms such as social media channels, blogs, video sites, and more, all from a single interface. Automated Posting: The platform supports automated scheduling and posting, ensuring consistent presence without manual intervention. Content Management:

Centralized Dashboard: Users can manage all their content distribution activities from a centralized dashboard, providing an overview of scheduled, pending, and completed posts. Content Calendar: An integrated content calendar helps in planning and organizing content distribution schedules, making it easier to manage campaigns. Analytics and Reporting:

Performance Metrics: Distribute.so provides detailed analytics on content performance across different platforms, including engagement metrics, reach, and conversion rates. Custom Reports: Users can generate custom reports to analyze the effectiveness of their distribution strategies and make data-driven decisions. Integration Capabilities:

Third-Party Integrations: The platform integrates with various third-party tools such as social media management tools, CRM systems, and analytics platforms, enhancing its functionality and ease of use. API Access: For advanced users, API access allows for custom integrations and automation tailored to specific needs. User Collaboration:

Team Collaboration: Distribute.so supports multiple user roles and permissions, enabling teams to collaborate on content distribution tasks efficiently. Approval Workflows: Built-in approval workflows ensure that content is reviewed and approved before it goes live, maintaining quality control. Content Optimization:

SEO Tools: The platform offers tools to optimize content for search engines, improving visibility and reach. A/B Testing: Users can perform A/B testing on different content versions to determine which performs better, refining their distribution strategies. Customization and Branding:

Custom Templates: Users can create and use custom templates for different types of content, ensuring consistency in branding and presentation. Branded Content: The platform allows for branded content distribution, helping businesses maintain their brand identity across various channels.

Pros Efficiency in Distribution: Distribute.so significantly reduces the time and effort required to distribute content across multiple platforms, improving efficiency. Comprehensive Analytics: Detailed performance metrics and custom reports provide valuable insights into the effectiveness of content distribution strategies. Integration and API: Robust integration capabilities and API access enhance the platform’s flexibility and usability. User-Friendly Interface: The centralized dashboard and intuitive interface make it easy for users to manage their content distribution tasks. Team Collaboration: Support for team collaboration and approval workflows ensures streamlined and controlled content distribution.

Cons Cost: Depending on the pricing structure, Distribute.so might be relatively expensive for small businesses or individual creators with limited budgets. Learning Curve: New users may require some time to fully understand and utilize all the features, especially advanced functionalities. Platform-Specific Limitations: While Distribute.so supports a wide range of platforms, there may be limitations or nuances specific to certain platforms that users need to be aware of.

Distribute.so is a robust and efficient tool for content creators, marketers, and businesses looking to maximize their reach through streamlined content distribution. Its wide range of features, including multi-platform distribution, centralized content management, detailed analytics, and robust integration capabilities, make it a valuable asset for managing digital media presence. While the cost and potential learning curve are considerations, the overall benefits in terms of efficiency, performance insights, and team collaboration provide significant value. Distribute.so is particularly well-suited for users seeking to enhance their content distribution strategies and achieve greater impact across multiple channels.

#domain #pyters #webhosting #business #entrepreneur #hosting #hostpyters #website #wordpress

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this-week-in-rust · 1 year ago

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This Week in Rust 518

Hello and welcome to another issue of This Week in Rust! Rust is a programming language empowering everyone to build reliable and efficient software. This is a weekly summary of its progress and community. Want something mentioned? Tag us at @ThisWeekInRust on Twitter or @ThisWeekinRust on mastodon.social, or send us a pull request. Want to get involved? We love contributions.

This Week in Rust is openly developed on GitHub and archives can be viewed at this-week-in-rust.org. If you find any errors in this week's issue, please submit a PR.

Updates from Rust Community

Project/Tooling Updates

Strobe Crate

System dependencies are hard (so we made them easier)

Observations/Thoughts

Trying to invent a better substring search algorithm

Improving Node.js with Rust-Wasm Library

Mixing C# and Rust - Interop

A fresh look on incremental zero copy serialization

Make the Rust compiler 5% faster with this one weird trick

Part 3: Rowing Afloat Datatype Boats

Recreating concurrent futures combinators in smol

Unpacking some Rust ergonomics: getting a single Result from an iterator of them

Idea: "Using Rust", a living document

Object Soup is Made of Indexes

Analyzing Data 180,000x Faster with Rust

Issue #10: Serving HTML

Rust vs C on an ATTiny85; an embedded war story

Rust Walkthroughs

Analyzing Data /,000x Faster with Rust

Fully Automated Releases for Rust Projects

Make your Rust code unit testable with dependency inversion

Nine Rules to Formally Validate Rust Algorithms with Dafny (Part 2): Lessons from Verifying the range-set-blaze Crate

[video] Let's write a message broker using QUIC - Broke But Quick Episode 1

[video] Publishing Messages over QUIC Streams!! - Broke But Quick episode 2

Miscellaneous

[video] Associated types in Iterator bounds

[video] Rust and the Age of High-Integrity Languages

[video] Implementing (part of) a BitTorrent client in Rust

Crate of the Week

This week's crate is cargo-show-asm, a cargo subcommand to show the optimized assembly of any function.

Thanks to Kornel for the suggestion!

Please submit your suggestions and votes for next week!

Call for Participation

Always wanted to contribute to open-source projects but did not know where to start? Every week we highlight some tasks from the Rust community for you to pick and get started!

Some of these tasks may also have mentors available, visit the task page for more information.

* Hyperswitch (Hacktoberfest)- [FEATURE] separate payments_session from payments core * Hyperswitch (Hacktoberfest)- [NMI] Use connector_response_reference_id as reference to merchant * Hyperswitch (Hacktoberfest)- [Airwallex] Use connector_response_reference_id as reference to merchant * Hyperswitch (Hacktoberfest)- [Worldline] Use connector_response_reference_id as reference to merchant * Ockam - Make ockam project delete (no args) interactive by asking the user to choose from a list of space and project names to delete (tuify) * Ockam - Validate CBOR structs according to the cddl schema for authenticator/direct/types * Ockam - Slim down the NodeManagerWorker for node / node status

If you are a Rust project owner and are looking for contributors, please submit tasks here.

Updates from the Rust Project

397 pull requests were merged in the last week

rewrite gdb pretty-printer registration

add FileCheck annotations to mir-opt tests

add MonoItems and Instance to stable_mir

add a csky-unknown-linux-gnuabiv2hf target

add a test showing failing closure signature inference in new solver

add new simpler and more explicit syntax for check-cfg

add stable Instance::body() and RustcInternal trait

automatically enable cross-crate inlining for small functions

avoid a track_errors by bubbling up most errors from check_well_formed

avoid having rustc_smir depend on rustc_interface or rustc_driver

coverage: emit mappings for unused functions without generating stubs

coverage: emit the filenames section before encoding per-function mappings

coverage: fix inconsistent handling of function signature spans

coverage: move most per-function coverage info into mir::Body

coverage: simplify the injection of coverage statements

disable missing_copy_implementations lint on non_exhaustive types

do not bold main message in --error-format=short

don't ICE when encountering unresolved regions in fully_resolve

don't compare host param by name

don't crash on empty match in the nonexhaustive_omitted_patterns lint

duplicate ~const bounds with a non-const one in effects desugaring

eliminate rustc_attrs::builtin::handle_errors in favor of emitting errors directly

fix a performance regression in obligation deduplication

fix implied outlives check for GAT in RPITIT

fix spans for removing .await on for expressions

fix suggestion for renamed coroutines feature

implement an internal lint encouraging use of Span::eq_ctxt

implement jump threading MIR opt

implement rustc part of RFC 3127 trim-paths

improve display of parallel jobs in rustdoc-gui tester script

initiate the inner usage of cfg_match (Compiler)

lint non_exhaustive_omitted_patterns by columns

location-insensitive polonius: consider a loan escaping if an SCC has member constraints applied only

make #[repr(Rust)] incompatible with other (non-modifier) representation hints like C and simd

make rustc_onunimplemented export path agnostic

mention into_iter on borrow errors suggestions when appropriate

mention the syntax for use on mod foo; if foo doesn't exist

panic when the global allocator tries to register a TLS destructor

point at assoc fn definition on type param divergence

preserve unicode escapes in format string literals when pretty-printing AST

properly account for self ty in method disambiguation suggestion

report unused_import for empty reexports even it is pub

special case iterator chain checks for suggestion

strict provenance unwind

suggest ; after bare match expression E0308

suggest constraining assoc types in more cases

suggest relaxing implicit type Assoc: Sized; bound

suggest removing redundant arguments in format!()

uplift movability and mutability, the simple way

miri: avoid a linear scan over the entire int_to_ptr_map on each deallocation

miri: fix rounding mode check in SSE4.1 round functions

miri: intptrcast: remove information about dead allocations

disable effects in libcore again

add #[track_caller] to Option::unwrap_or_else

specialize Bytes<R>::next when R is a BufReader

make TCP connect handle EINTR correctly

on Windows make read_dir error on the empty path

hashbrown: add low-level HashTable API

codegen_gcc: add support for NonNull function attribute

codegen_gcc: fix #[inline(always)] attribute and support unsigned comparison for signed integers

codegen_gcc: fix endianness

codegen_gcc: fix int types alignment

codegen_gcc: optimize popcount implementation

codegen_gcc: optimize u128/i128 popcounts further

cargo add: Preserve more comments

cargo remove: Preserve feature comments

cargo replace: Partial-version spec support

cargo: Provide next steps for bad -Z flag

cargo: Suggest cargo-search on bad commands

cargo: adjust -Zcheck-cfg for new rustc syntax and behavior

cargo: if there's a version in the lock file only use that exact version

cargo: make the precise field of a source an Enum

cargo: print environment variables for build script executions with -vv

cargo: warn about crate name's format when creating new crate

rustdoc: align stability badge to baseline instead of bottom

rustdoc: avoid allocating strings primitive link printing

clippy: map_identity: allow closure with type annotations

clippy: map_identity: recognize tuple identity function

clippy: add lint for struct field names

clippy: don't emit needless_pass_by_ref_mut if the variable is used in an unsafe block or function

clippy: make multiple_unsafe_ops_per_block ignore await desugaring

clippy: needless pass by ref mut closure non async fn

clippy: now declare_interior_mutable_const and borrow_interior_mutable_const respect the ignore-interior-mutability configuration entry

clippy: skip if_not_else lint for '!= 0'-style checks

clippy: suggest passing function instead of calling it in closure for option_if_let_else

clippy: warn missing_enforced_import_renames by default

rust-analyzer: generate descriptors for all unstable features

rust-analyzer: add command for only opening external docs and attempt to fix vscode-remote issue

rust-analyzer: add incorrect case diagnostics for module names

rust-analyzer: fix VS Code detection for Insiders version

rust-analyzer: import trait if needed for unqualify_method_call assist

rust-analyzer: pick a better name for variables introduced by replace_is_some_with_if_let_some

rust-analyzer: store binding mode for each instance of a binding independently

perf: add NES emulation runtime benchmark

Rust Compiler Performance Triage

Approved RFCs

Changes to Rust follow the Rust RFC (request for comments) process. These are the RFCs that were approved for implementation this week:

Add f16 and f128 float types

Unicode and escape codes in literals

Final Comment Period

Every week, the team announces the 'final comment period' for RFCs and key PRs which are reaching a decision. Express your opinions now.

RFCs

No RFCs entered Final Comment Period this week.

Tracking Issues & PRs

[disposition: merge] Consider alias bounds when computing liveness in NLL (but this time sound hopefully)

[disposition: close] regression: parameter type may not live long enough

[disposition: merge] Remove support for compiler plugins.

[disposition: merge] rustdoc: Document lack of object safety on affected traits

[disposition: merge] Stabilize Ratified RISC-V Target Features

[disposition: merge] Tracking Issue for const mem::discriminant

New and Updated RFCs

[new] eRFC: #[should_move] attribute for per-function opting out of Copy semantics

Call for Testing

An important step for RFC implementation is for people to experiment with the implementation and give feedback, especially before stabilization. The following RFCs would benefit from user testing before moving forward:

No RFCs issued a call for testing this week.

If you are a feature implementer and would like your RFC to appear on the above list, add the new call-for-testing label to your RFC along with a comment providing testing instructions and/or guidance on which aspect(s) of the feature need testing.

Upcoming Events

Rusty Events between 2023-10-25 - 2023-11-22 🦀

Virtual

2023-10-30 | Virtual (Melbourne, VIC, AU) | Rust Melbourne

(Hybrid - online & in person) October 2023 Rust Melbourne Meetup

2023-10-31 | Virtual (Europe / Africa) | Rust for Lunch

Rust Meet-up

2023-11-01 | Virtual (Cardiff, UK)| Rust and C++ Cardiff

ECS with Bevy Game Engine

2023-11-01 | Virtual (Indianapolis, IN, US) | Indy Rust

Indy.rs - with Social Distancing

2023-11-02 | Virtual (Charlottesville, NC, US) | Charlottesville Rust Meetup

Crafting Interpreters in Rust Collaboratively

2023-11-07 | Virtual (Berlin, DE) | OpenTechSchool Berlin

Rust Hack and Learn | Mirror

2023-11-07 | Virtual (Buffalo, NY, US) | Buffalo Rust Meetup

Buffalo Rust User Group, First Tuesdays

2023-11-09 | Virtual (Nuremberg, DE) | Rust Nuremberg

Rust Nürnberg online

2023-11-14 | Virtual (Dallas, TX, US) | Dallas Rust

Second Tuesday

2023-11-15 | Virtual (Cardiff, UK)| Rust and C++ Cardiff

Building Our Own Locks (Atomics & Locks Chapter 9)

2023-11-15 | Virtual (Richmond, VA, US) | Linux Plumbers Conference

Rust Microconference in LPC 2023 (Nov 13-16)

2023-11-15 | Virtual (Vancouver, BC, CA) | Vancouver Rust

Rust Study/Hack/Hang-out

2023-11-16 | Virtual (Charlottesville, NC, US) | Charlottesville Rust Meetup

Crafting Interpreters in Rust Collaboratively

2023-11-07 | Virtual (Berlin, DE) | OpenTechSchool Berlin

Rust Hack and Learn | Mirror

2023-11-21 | Virtual (Washington, DC, US) | Rust DC

Mid-month Rustful

Europe

2023-10-25 | Dublin, IE | Rust Dublin

Biome, web development tooling with Rust

2023-10-25 | Paris, FR | Rust Paris

Rust for the web - Paris meetup #61

2023-10-25 | Zagreb, HR | impl Zagreb for Rust

Rust Meetup 2023/10: Lunatic

2023-10-26 | Augsburg, DE | Rust - Modern Systems Programming in Leipzig

Augsburg Rust Meetup #3

2023-10-26 | Copenhagen, DK | Copenhagen Rust Community

Rust metup #41 sponsored by Factbird

2023-10-26 | Delft, NL | Rust Nederland

Rust at TU Delft

2023-10-26 | Lille, FR | Rust Lille

Rust Lille #4 at SFEIR

2022-10-30 | Stockholm, SE | Stockholm Rust

Rust Meetup @Aira + Netlight

2023-11-01 | Cologne, DE | Rust Cologne

Web-applications with axum: Hello CRUD!

2023-11-07 | Bratislava, SK | Bratislava Rust Meetup Group

Rust Meetup by Sonalake

2023-11-07 | Brussels, BE | Rust Aarhus

Rust Aarhus - Rust and Talk beginners edition

2023-11-07 | Lyon, FR | Rust Lyon

Rust Lyon Meetup #7

2023-11-09 | Barcelona, ES | BcnRust

11th BcnRust Meetup

2023-11-09 | Reading, UK | Reading Rust Workshop

Reading Rust Meetup at Browns

2023-11-21 | Augsburg, DE | Rust - Modern Systems Programming in Leipzig

GPU processing in Rust

2023-11-23 | Biel/Bienne, CH | Rust Bern

Rust Talks Bern @ Biel: Embedded Edition

North America

2023-10-25 | Austin, TX, US | Rust ATX

Rust Lunch - Fareground

2023-10-25 | Chicago, IL, US | Deep Dish Rust

Rust Happy Hour

2023-11-01 | Brookline, MA, US | Boston Rust Meetup

Boston Common Rust Lunch

2023-11-08 | Boulder, CO, US | Boulder Rust Meetup

Let's make a Discord bot!

2023-11-14 | New York, NY, US | Rust NYC

Rust NYC Monthly Mixer: Share, Show, & Tell! 🦀

2023-11-14 | Seattle, WA, US | Cap Hill Rust Coding/Hacking/Learning

Rusty Coding/Hacking/Learning Night

2023-11-15 | Richmond, VA, US + Virtual | Linux Plumbers Conference

Rust Microconference in LPC 2023 (Nov 13-16)

2023-11-16 | Nashville, TN, US | Music City Rust Developers

Python loves Rust!

2023-11-16 | Seattle, WA, US | Seattle Rust User Group

Seattle Rust User Group Meetup

2023-11-21 | San Francisco, CA, US | San Francisco Rust Study Group

Rust Hacking in Person

2023-11-22 | Austin, TX, US | Rust ATX

Rust Lunch - Fareground

Oceania

2023-10-26 | Brisbane, QLD, AU | Rust Brisbane

October Meetup

2023-10-30 | Melbourne, VIC, AU + Virtual | Rust Melbourne

(Hybrid - in person & online) October 2023 Rust Melbourne Meetup

2023-11-21 | Christchurch, NZ | Christchurch Rust Meetup Group

Christchurch Rust meetup meeting

If you are running a Rust event please add it to the calendar to get it mentioned here. Please remember to add a link to the event too. Email the Rust Community Team for access.

Jobs

Please see the latest Who's Hiring thread on r/rust

Quote of the Week

When your Rust build times get slower after adding some procedural macros:

We call that the syn tax :ferris:

– Janet on Fosstodon

Thanks to Jacob Pratt for the suggestion!

Please submit quotes and vote for next week!

This Week in Rust is edited by: nellshamrell, llogiq, cdmistman, ericseppanen, extrawurst, andrewpollack, U007D, kolharsam, joelmarcey, mariannegoldin, bennyvasquez.

Email list hosting is sponsored by The Rust Foundation

Discuss on r/rust

#rust-lang #rust #rustlang #twir #long post

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