#container optimization software

[abhigroup1]

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[lightyaoigami]

☁︎｡⋆｡ ﾟ☾ ﾟ｡⋆ how to resume ⋆｡ﾟ☾｡⋆｡ ﾟ☁︎ ﾟ

after 10 years & 6 jobs in corporate america, i would like to share how to game the system. we all want the biggest payoff for the least amount of work, right?

know thine enemy: beating the robots

i see a lot of misinformation about how AI is used to scrape resumes. i can't speak for every company but most corporations use what is called applicant tracking software (ATS).

no respectable company is using chatgpt to sort applications. i don't know how you'd even write the prompt to get a consumer-facing product to do this. i guarantee that target, walmart, bank of america, whatever, they are all using B2B SaaS enterprise solutions. there is not one hiring manager plinking away at at a large language model.

ATS scans your resume in comparison to the job posting, parses which resumes contain key words, and presents the recruiter and/or hiring manager with resumes with a high "score." the goal of writing your resume is to get your "score" as high as possible.

but tumblr user lightyaoigami, how do i beat the robots?

great question, y/n. you will want to seek out an ATS resume checker. i have personally found success with jobscan, which is not free, but works extremely well. there is a free trial period, and other ATS scanners are in fact free. some of these tools are so sophisticated that they can actually help build your resume from scratch with your input. i wrote my own resume and used jobscan to compare it to the applications i was finishing.

do not use chatgpt to write your resume or cover letter. it is painfully obvious. here is a tutorial on how to use jobscan. for the zillionth time i do not work for jobscan nor am i a #jobscanpartner i am just a person who used this tool to land a job at a challenging time.

the resume checkers will tell you what words and/or phrases you need to shoehorn into your bullet points - i.e., if you are applying for a job that requires you to be a strong collaborator, the resume checker might suggest you include the phrase "cross-functional teams." you can easily re-word your bullets to include this with a little noodling.

don't i need a cover letter?

it depends on the job. after you have about 5 years of experience, i would say that they are largely unnecessary. while i was laid off, i applied to about 100 jobs in a three-month period (#blessed to have been hired quickly). i did not submit a cover letter for any of them, and i had a solid rate of phone screens/interviews after submission despite not having a cover letter. if you are absolutely required to write one, do not have chatgpt do it for you. use a guide from a human being who knows what they are talking about, like ask a manager or betterup.

but i don't even know where to start!

i know it's hard, but you have to have a bit of entrepreneurial spirit here. google duckduckgo is your friend. don't pull any bean soup what-about-me-isms. if you truly don't know where to start, look for an ATS-optimized resume template.

a word about neurodivergence and job applications

i, like many of you, am autistic. i am intimately familiar with how painful it is to expend limited energy on this demoralizing task only to have your "reward" be an equally, if not more so, demoralizing work experience. i don't have a lot of advice for this beyond craft your worksona like you're making a d&d character (or a fursona or a sim or an OC or whatever made up blorbo generator you personally enjoy).

and, remember, while a lot of office work is really uncomfortable and involves stuff like "talking in meetings" and "answering the phone," these things are not an inherent risk. discomfort is not tantamount to danger, and we all have to do uncomfortable things in order to thrive. there are a lot of ways to do this and there is no one-size-fits-all answer. not everyone can mask for extended periods, so be your own judge of what you can or can't do.

i like to think of work as a drag show where i perform this other personality in exchange for money. it is much easier to do this than to fight tooth and nail to be unmasked at work, which can be a risk to your livelihood and peace of mind. i don't think it's a good thing that we have to mask at work, but it's an important survival skill.

⋆｡ﾟ☁︎｡⋆｡ ﾟ☾ ﾟ｡⋆ good luck ⋆｡ﾟ☾｡⋆｡ ﾟ☁︎ ﾟ｡⋆

[carriesthewind]

Yeah so anyway, I'm making my response to this fucking garbage its own separate post in case people want to reblog it without having to reblog a scare-mongering lie.

This video pisses me the fuck off whenever I see it, and today I'm not in the mood to just scroll past.

Wow! Am I being lead to panic by scaremongering algorithm fodder completely unsupported by real evidence?! test:

The reason you think something exists is just what you're being told by a nefarious *them*, there is actually a conspiracy behind it!

I, an ordinary person with no expertise who critically examines the world around me, have uncovered this conspiracy.

"That's what they're telling you." (put the emphasis wherever appropriate for the conspiracy of your choice - in this case, it's on *telling*)

This new tech thing is actually a bad idea and the old school method was better - which clearly proves there must be a secret conspiracy, because why allow the possibility of incompetence and investor tech-hype when you can instead assume a highly-competent evil conspiracy?

I will now tell you my conspiracy theory while scrolling rapidly through a document without pausing or allowing you to actually read any of it. This allows me to look like I have proven my claims while doing nothing of the sort. Because do you really think someone could do that? Quickly flash a document on screen and just lie about what it says?

But Owl! This is real! A user upthread found the patent and it *does* prove it!

Yeah. I read the linked patent. Did you?

Let's quote the "real purpose" hidden in the patent, as claimed out in the video:

"The real purpose of these screens is to use the little camera at the top right here to scan your face and use AI facial expression analysis to judge whether or not you like the packaging designs of the product you're looking for."

This is complete made up horseshit.

First, let's look where the reblogger directs us, to column #4 on page 17:

"Preferably, each retail product container further comprises customer-detecting hardware, such as one or more proximity sensors (such as heat maps) , cameras, facial sensors or scanners, and eye-sensors (i.e., iris-tracking sensors). Assuming cameras are employed, preferably cameras are mounted on doors of the retail product containers. Preferably, the cameras have a depth of field of view of twenty feet or more, and have a range of field of view of 170 degrees with preferably 150 degree of facial recognition ability. Preferably, software is employed in association with the cameras to monitor shopper interactions, serve up relevant advertisement content on the displays, and track advertisement engagement in - store." (emphasis added and references to figures removed for readability)

That is the extent of the "nonconsensual data collection."

Now, to be fair, there is some stuff on page 18 and 19 which kinda-sorta-maybe has at least some relation to the claim in the video:

"Preferably, the controller/data collector is configured such that as a shopper stands or lingers in front of a given retail product container, the display associated with the retail product container changes yet again. At this point, preferably the controller/data collector has been able to use the customer-detecting hardware to effectively learn more about that particular customer, such as gender, age, mood, etc. The controller / data collector is configured to take what has been detected about the customer to determine which advertisement and other information to present to that particular customer on the display associated with the retail product container in front of which the customer is standing. By tracking shopper data in parallel with which advertising content is being served on all displays within the viewing range of the shopper, the retailer and the brands are better served, providing new analytics. As such, the system provides advertising, influence opportunities at the moment of purchasing decision, optimizing marketing spend and generating new revenue streams....

"Additionally, preferably all inputs collected by the IOT devices will be analyzed locally as well as remotely (via cloud) to provide the feedback inputs for the system to push more relevant/targeted content, tailored for the consumer. The analytics are preferably conducted anonymously, images captured by cameras are preferably processed to collect statistics on consumer demographic characteristics: (such as age and gender). This data is preferably subsequently analyzed for additional statistics for the retailers that are valuable for in-store merchandise layout design and smart merchandizing, including the ability to track the shoppers “traffic” areas, known as “heat maps”, areas were [sic] customers would concentrate more and spend more time exploring, etc." (emphasis added and references to figures removed for readability) (And note the repeated emphasis on preferably - they don't have a patent to do any of this.)

Which, like, not great! I fucking hate the idea of shit like this! But there is literally nothing here about monitoring your expressions to sell the data about how you react to packaging!

This isn't a nefarious plan hidden in the patent. It's tech bros adding on totally sick ideas about how they can sell this shit to walgreens. (Because to be clear, I'm sure walgreens's corporate office would love to collect and sell this kind of information. But just because they would, doesn't mean they can or are. And this patent sure as hell doesn't prove it.)

Because let me be clear: the image capture of consumers is so irrelevant to the product that it literally isn't even included in the claims section of the patent.

Because the patent is quite explicit and detailed about the idea they are selling big retails stores on - this is a better, new, innovative, tech-driven way to "provide an innovative advertising solution"! (The words "AI," "intelligent," and "machine learning" are deployed liberally, but in the same way that "blockchain" was a few years ago. It's advertising tech hype.)

I want to make it clear - the OP in the video is straight up lying to you. Whether for fun or profit or just attention, I don't know and I don't care. If you shared this, you probably should have know better, but everyone makes mistakes. OP, on the other hand, is just a fucking liar.

But Owl! What about "the senators looking into this"?

I don't know how to tell you this, but thing linked about is a press release by a politician's office. That doesn't mean it's not true, but it's not evidence on it's own. Like, the letter linked in the link included links to sources, but is not itself evidence (ooh, layers of links to actually get to a source, my favorite)(actually my computer wouldn't even goddam open the links to the source, I had to independently search for it).

Anyway, the letter to Kroger linked in the press release by the senators contains a single sentence and a single link relevant to the claim here (linked for your convenience because it sure as hell wasn't for mine). Unfortunately, this article is itself based on a goddam press release (That isn't linked! Again, you're welcome.)

And when we finally get to the underlying fucking source. "In addition to transforming the customer experience and enhancing productivity for associates, the EDGE Shelf will enable Kroger to generate new revenue by selling digital advertising space to consumer packaged goods (CPGs) brands. Using video analytics, personalized offers and advertisements can be presented based on customer demographics." So it's purporting to something *kind of* like the claim in the video, but an entirely different format completely unrelated to the thing the video is scaremongering about.

Now Kroger did actually start using the advertising screens in 2023. And you can believe what you want about the data privacy claims and the claims about not using video, just sensors (which remember is entirely consistent with the patent). But remember: being skeptical of a company's claims is fine and good! It does not mean you have proven they are lying, and it especially does not prove you have claimed they are doing something extremely specific! And most of the articles, and the letter from the senators, are (much more reasonably) concerned about so-called "dynamic" or surge pricing. (Which is not related to the screens.)

Like goddamn. Aren't there enough real problems with surveillance and price-gorging to be concerned about without having to make up fake ones? Hell, why can't we at least be concerned with the real problems with those dumb screens, which is that the a) make shopping harder and b) catch fire?

[malk1ns]

march 15 v devils, 7-3 win

nice.

i really enjoyed geno's bizarro over-the-top penalty fugue state he went into for this one. almost like he was glitching out...

we can call this a homage to @sevenfists' wonderful tragic hockeybot geno, but not as good because like...duh.

this does contain a homophobic slur just fyi.

Evgeni has followed a fairly strict game-day protocol ever since he woke up in Pittsburgh almost 20 years ago. The details have changed, refinements and efficiencies added in as his software was upgraded, but the basics, the stuff that keeps him running at optimal performance and giving his all on the ice, have remained the same.

Most of his start-up process is automated now, thankfully. Those first couple of years he needed to be manually disconnected from his charging station and powered on every morning, and since the station was bulky and he had to charge upright all night he’d spend the first half-hour trying to loosen up his joints and walk without a hitch in his step. It also meant he had to stay at the rink—the unit was permanently installed in his maintenance room, and they only had one more extraordinarily bulky one that got lugged around for road trips. Evgeni spent a lot of mornings after Dana woke him up wandering the hallways until the rest of the guys started to trickle in.

He came back from the Olympics in Sochi with a new charging port, discreetly installed under his left armpit and USB-C compatible provided it’s connected to one of his new, portable power packs. The automated start-up patch came through shortly after, and all he had to do was program in a power-down and power-up time and he boots up all on his own.

Powering down in a comfortable position had been a revelation. Being able to do it wherever he wanted was another.

Evgeni considered buying his own house—the idea of his own space is appealing, even if he’s not quite sure what people do at home by themselves at night. He’d run a pro/con analysis, though, and asked someone to look over the results to verify the conclusion he came to: however unlikely it may be, the scenario of something going wrong when nobody is there to find Evgeni and perform emergency maintenance is an unacceptable trade-off for home ownership.

Sidney’s suggestion that Evgeni just move in with him was much more logical.

Something else that came with Evgeni’s 2014 upgrade was an unexpected, but not unwelcome, libido add-on. All part of the goal to make Evgeni and others like him more human, integrate them more into society at large. It took a few months for Evgeni to calibrate to his new desires; he’d expected a standard program, especially with his lab of origin located in Russia, but after a while he figured out he was gay.

He spent the off-season experimenting and arrived in Pittsburgh for the season with a list of likes and dislikes, and a type. Sidney almost exactly matched the latter, and based on Evgeni’s new experience he was confident that the first two items could be adjusted to suit.

He’d been right. 

Sidney has said he’s in love with Evgeni. Evgeni’s emotional response center has been upgraded on a regular basis over the years, but most of the time it seems like he’s a little…slow, maybe, or removed from how he should be feeling, such as it is.

Not about Sidney. He’s pretty sure he loves Sidney too.

Sidney also understands the value of a routine. He has his own, more rigidly engrained than anything Evgeni does on gameday, and he’s more than happy to leave Evgeni alone to boot up and run his diagnostics in peace. It’s unsettling to watch, Evgeni’s been told—his eyes go disconcertingly blank, and for a solid five minutes he’s utterly unresponsive. People get weird about it, even if they’ve seen it before. He prefers to be alone.

Mid-March in a season like this one is a grind. Evgeni’s been in for repairs more this season than the last two combined, and they might not be officially eliminated from playoff contention yet but it’s just a matter of time; motivation is hard to come by, even for Evgeni. It’s reassuring to fall into his programming and run through each system one by one, making sure he’s primed for optimal performance.

There’s a spark in the corner of his vision.

Evgeni pauses, scrolls back through lines of code, reviews. Nothing. He must have imagined it.

When he pulls himself out, he’s running a few minutes late; Sidney will be almost done with his breakfast.

Evgeni heaves himself to his feet and heads downstairs. Sidney drives on game days, so Evgeni downloads the Devils’ five most recent games to review in the car.

—

He shouldn’t need to, but Evgeni likes to top-up his charge while Sidney takes his pre-game nap. Sidney likes it too, says it feels like they’re falling asleep together; it also helps that once Evgeni’s powered down he doesn’t move, so once they’re arranged to maximize Sidney’s comfort there’s no mid-sleep jostling.

When Evgeni boots back up, he feels…weird. Wrong, lying in bed with Sidney wrapped around him like normal.

He unplugs his charger and extracts himself as carefully as he can, putting on his suit and making his way downstairs to wait until Sidney is awake and ready to drive them to the rink for the game.

Sidney frowns at him when he finally comes down, but Evgeni turns his head, and Sidney lets him be.

They make small talk in the car like usual, but Evgeni’s distracted, and eventually Sidney goes quiet. To distract himself Evgeni runs back to his source code, a well-worn self-soothing mechanism when he’s feeling jumpy or off.

The code itself is simple but effective, wrapped inside a descriptor of the reason Evgeni was made in the first place.

The modern sport of ice hockey was developed in Canada…

By the time the game starts Evgeni’s restless, shifting from foot to foot during the anthem and eyeing the opposing team with more hostility than he’s used to experiencing. 

Evgeni’s never pretended to be the cleanest player in the league. He’s sneaky with his stick, takes risky penalties because when guys hit back he doesn’t feel pain like humans do, and sometimes it works. Even for him, though, this game is tough sledding.

When his reckless double minor results in a goal against and lets the Devils draw within one, Evgeni shatters his stick in the box, then glides back to the bench with his mouth twisted in a frown. He feels—he wants to hit something, or maybe someone.

His higher processing is on alert at this aberration in behavior, but all Evgeni can do is sit on the bench, accept his new stick, and wait.

“G,” comes Sidney’s voice in his ear, and Evgeni flinches away violently—what is Sidney doing, sitting so close? Why is he pressing their legs together like that? Why is he reaching for Evgeni’s hand where it’s resting on his thigh? “Hey, you okay? You seem a little rattled; do you need a breather, maybe someone to check you out?”

“Fuck off, what you do,” Evgeni hisses, snatching his hand away. “Don’t touch me, like, what are you, a faggot? Back off.”

Crosby freezes, and Letang peers around from his other side, eyes narrowed. “What the fuck did you just say to him?”

“You fuck off too,” Evgeni snaps, half-rising with his fists clenching in his gloves, and suddenly the bot maintenance guy has an iron grip on his arm.

“Cool it, or I’m taking you back and decommissioning you here and now instead of letting you get through this game and get examined,” Freddy snaps in his ear.

Evgeni shakes his head. There’s an odd echo in his ears, metallic and hollow, and snippets from his source code keep floating into his brain—Hockey Canada announced a plan to address "systemic issues" in the culture of hockey; the early history of hockey encouraged physical intimidation and control; oh, the good old hockey game....

The rest of the game is a blur. Evgeni doesn’t cause any more goals against, even manages to put up a primary assist on the power play, but he spends his time on the bench spacing out, shrinking away from anyone who tries to talk to him as he scrolls through his coding.

The diagnostics are all still fine. Something’s wrong, though.

Evgeni spent a year in stasis while his system was flooded with hockey history and hockey culture. He doesn’t remember it very well, but those first few years had aligned pretty well with what he’d learned—hockey was rough, hockey was physical, hockey was insular and conservative and macho.

Times change. So did Evgeni, through programming and his own conclusions drawn from observing the world around him.

He seesaws between past and present, software upgrades and personality patches warring in his motherboard until he thinks he might short out. He doesn’t, obviously; there are enough redundancies built into him to keep the ISS in orbit, let alone one android on an ice rink, but that doesn’t stop him from feeling overheated and dazed by the time they troop off the ice.

Instead of walking to the locker room he turns left, toward the bot maintenance room.

He half-hears a whispered argument behind him, and shortly after it cuts off someone hurries to catch up.

“Hey,” Sidney says, and Evgeni cringes, his words from earlier rattling in his skull like they were said by someone else.

“Sorry,” he grits out. He wants to reach out and take Sidney’s hand, but the thought of someone seeing him holding hands with a man fills him with nausea. “Not sure…”

“Yeah,” Sidney says. His voice is even, flat and unsettling, but Evgeni doesn’t have room to work through that and find a fix.

Freddy’s waiting outside the room with his arms crossed. He relaxes when Evgeni rounds into view, raising his eyebrows but not commenting when Sidney follows them into the room.

“Alright, let’s get you opened up and see what’s going on,” Freddy says, gesturing to the maintenance station.

It looks like a torture chamber, a metal chair surrounded by needles and machinery and a large, ominous machine with a screen and dozens of blinking lights. Evgeni gingerly lowers himself into the seat and closes his eyes, flinching a little when the chair lifts and tilts him forward, giving Freddy access to his control panel.

It doesn’t hurt to have his panel opened, but it feels wrong, invasive and intrusive. Evgeni used to need to get strapped into the chair to stop from fighting, but now he squeezes his eyes closed and bites on his tongue and takes some of the big, soothing breaths that do nothing for the functioning of his shell but seem to settle his mind anyway.

“Fuck,” Freddy murmurs, and Evgeni’s eyes fly open. Before he can say a word, Sidney’s at his side.

“What is it?” Sidney demands, resting a hand on Evgeni’s shoulder and rubbing his thumb soothingly as he leans over to peer into the panel. “Oh, shit.”

“What!” Evgeni demands, clenching his fists. He hates this, hates feeling helpless and paralyzed while people bend over his back and stare down into his innards.

“Not sure what happened in here, bud, but you’ve got some seriously fucked-up wires. Something in here burnt out, and a few of the metal casings are fried.” Freddy touches something inside Evgeni that sends his left knee straight out in a kick. “Yeah, damn, that’s no good. You were maybe a few days from catching on fire.”

Sidney’s hand spasms on Evgeni’s shoulder. “Can you fix him?” he asks, voice low and worried.

“Oh, sure,” Freddy says, and the easy confidence in his voice is reassuring. Freddy never sounds overwhelmed, never sounds like there’s something he can’t make work. “Might take a while, I think I’ll have to boot him into safety mode for a few hours to make sure everything’s connected okay, but he should be ready to go by Tuesday’s game.”

Sidney’s exhale is shaky with relief. Evgeni wants to reach up and touch his hand. “We start now?” he says instead, keeping his eyes on the ground.

“Sure thing. When was your last backup?” Freddy asks, rummaging through his toolkit. “Sid, when you head back can you let Sully know what’s going on, tell him I’ll get everyone a full rundown once I can pull the readout?”

“Sure. And he backed up last night, so you can probably just—”

Evgeni interrupts him. “No,” he says firmly, finally gathering the courage to crane his neck and look up at Sidney’s face. “Back up now, please. Want to remember what I say.”

“Good man,” Freddy says, clapping Evgeni on his other shoulder.

Sidney crouches down so he can look Evgeni in the eye. “You didn’t mean it,” he says quietly. His eyebrows are furrowed, and there’s a frown tugging at his mouth. He’s sad, Evgeni concludes, and hurt, and he’s trying to hide it. “I mean, it’s like…you’re hurt, you pulled something out from your coding, it’s not—”

“Sid,” Evgeni interrupts, and Sidney startles. A quirk in Evgeni’s programming is that he doesn’t use nicknames unless he really makes an effort. “Doesn’t matter why, I still say. Can’t forget I do, it’s not…” He thinks, running through the relationships course he downloaded back in 2015 when the team was struggling and Sidney seemed like he was on the verge of ending things. “It’s reason, not excuse. I still need, like, accountability.”

He mangles the word, but Sidney’s small smile is worth it.

—

Evgeni doesn’t dream, exactly. When he’s powered down there’s still a flicker of awareness as long as he has battery, enough to pull himself to wakefulness if there’s a threat, but extended downtime for repairs is like floating in a thick black cloud. There’s a very distance perception of voices, of movement and hands on his shell and wires being replaced, but nothing that Evgeni can actually truly call a memory as opposed to a superimposed expectation of what happened.

The grogginess when he’s powered back on is very real, though, as is the stiffness in his knees. He hopes he’ll have enough time to loosen up before he has to play.

“Welcome back,” Freddy’s cheerful voice booms, and Evgeni winces. “You should be set. Had you walk and sit and do a few jumping jacks yesterday in safety mode, nothing else loosened up or shorted. Okay—hands?”

He walks Evgeni through the post-repairs protocol, checking his reactivity, his senses, the last things he remembers to check his backup loaded correctly. Check, check, check.

When Evgeni stumbles out of the room, blinking against the harsh overhead lights in the hall, Sidney’s waiting for him.

“Hey,” Sidney says, eyes flickering over Evgeni’s face.

“I’m so sorry,” Evgeni says immediately. The shame that rolls through him is new and unexpectedly powerful—he rarely feels embarrassed, his programming doesn’t allow for him to make choices that lead to that. When it’s working correctly, of course. “God, Sidney, you know I don’t mean.”

“I know,” Sidney says, and the caution in his voice makes Evgeni’s chest ache. “I told Kris what happened, he said he won’t kick your ass unless it happens again.”

“I let him,” Evgeni says earnestly, which makes Sidney laugh. “Promise, I stand there, he kick and scratch and do whatever, I just let.”

He reaches forward tentatively, touching his fingers to the back of Sidney’s hand. The flood of relief when Sidney turns his hand up and laces their fingers together is nearly enough to make him lose his balance.

Emotions are tricky things, Evgeni thinks, but he wouldn’t wipe them for the world.

[iwonderwh0]

I don't think androids store memories as videos or that they can even be extracted as ones. Almost, but not exactly.

Firstly, because their memories include other data such as their tactile information, their emotional state, probably 3d markers of their surrounding...a lot of different information. So, their memories are not in a video-format, but some kind of a mix of many things, that may not be as easily separated from each other. I don't think a software necessary to read those types of files are publicly available.

Even if they have some absolute massive storage, filming good-quality videos and storing them is just not an optimal way to use their resources. It's extremely wasteful. I think, instead, their memories consist of snapshots that are taken every once in a while (depending on how much is going on), that consist of compressed version of all their relevant inputs like mentioned above. Like, a snapshot of a LiDAR in a specific moment + heavily compressed photo with additional data about some details that'll later help to upscale it and interpolate from one snapshot into the next one, some audio samples of the voices and transcript of the conversation so that it'd take less storage to save. My main point is, their memories are probably stored in a format that not only doesn't actually contain original video material, but is a product of some extreme compression, and in this case reviewing memories is not like watching HD video footage, but rather an ai restoration of those snapshots. Perhaps it may be eventually converted into some sort of a video readable to human eye, but it would be more of an ai-generated video from specific snapshots with standardised prompts with some parts of the image/audio missing than a perfectly exact video recording.

When Connor extracts video we see that they are a bit glitchy. It may be attributed to some details getting lost during transmission from one android to another, but then we've also got flashbacks with android's own memories, that are just as "glitchy". Which kinda backs up a theory of it being a restoration of some sort of a compressed version rather than original video recording.

Then we've also got that scene where Josh records Markus where it is shown that when he starts to film, his eyes indicate the change that he is not just watching but recording now. Which means that is an option, but not the default. I find it a really nice detail. Like, androids can record videos, but then the people around them can see exactly when they do that, and "be at ease" when they don't. It may be purely a design choice, like that of the loading bar to signalise that something is in progress and not just frozen, or mandatory shutter sound effect on smartphones cameras in Japan.

So, yeah. Androids purpose is to correctly interpret their inputs and store relevant information about it in their long term memory, and not necessarily to record every present moment in a video-archive that will likely never be seen by a human and reviewed as a pure video footage again. If it happened to be needed to be seen — it'll be restored as a "video" file, but this video won't be an actual video recording unless android was specifically set to record mode.

[omgmaxsmith-blog]

How Can Legacy Application Support Align with Your Long-Term Business Goals?

Many businesses still rely on legacy applications to run core operations. These systems, although built on older technology, are deeply integrated with workflows, historical data, and critical business logic. Replacing them entirely can be expensive and disruptive. Instead, with the right support strategy, these applications can continue to serve long-term business goals effectively.

1. Ensure Business Continuity

Continuous service delivery is one of the key business objectives of any enterprise. Maintenance of old applications guarantees business continuity, which minimizes chances of business interruption in case of software malfunctions or compatibility errors. These applications can be made to work reliably with modern support strategies such as performance monitoring, frequent patching, system optimization, despite changes in the rest of the system changes in the rest of the systems. This prevents the lost revenue and downtime of unplanned outages.

2. Control IT Costs

A straight replacement of the legacy systems is a capital intensive process. By having support structures, organizations are in a position to prolong the life of such applications and ensure an optimal IT expenditure. The cost saved can be diverted into innovation or into technologies that interact with the customers. An effective support strategy manages the total cost of ownership (TCO), without sacrificing performance or compliance.

3. Stay Compliant and Secure

The observance of industry regulations is not negotiable. Unsupported legacy application usually fall out of compliance with standards changes. This is handled by dedicated legacy application support which incorporates security updates, compliances patching and audit trails maintenance. This minimizes the risks of regulatory fines and reputational loss as well as governance and risk management objectives.

4. Connect with Modern Tools

Legacy support doesn’t mean working in isolation. With the right approach, these systems can connect to cloud platforms, APIs, and data tools. This enables real-time reporting, improved collaboration, and more informed decision-making—without requiring full system replacements.

5. Protect Business Knowledge

The legacy systems often contain years of institutional knowledge built into workflows, decision trees, and data architecture. They should not be abandoned early because vital operational insights may be lost. Maintaining these systems enables enterprises to keep that knowledge and transform it into documentation or reusable code aligned with ongoing digital transformation initiatives.

6. Support Scalable Growth

Well-supported legacy systems can still grow with your business. With performance tuning and capacity planning, they can handle increased demand and user loads. This keeps growth on track without significant disruption to IT systems.

7. Increase Flexibility and Control

Maintaining legacy application—either in-house or through trusted partners—gives businesses more control over their IT roadmap. It avoids being locked into aggressive vendor timelines and allows change to happen on your terms.

Legacy applications don’t have to be a roadblock. With the right support model, they become a stable foundation that supports long-term goals. From cost control and compliance to performance and integration, supported legacy systems can deliver measurable value. Specialized Legacy Application Maintenance Services are provided by service vendors such as Suma Soft, TCS, Infosys, Capgemini,  and HCLTech, to enable businesses to get the best out of their current systems, as they prepare to transform in the future. Choosing the appropriate partner will maintain these systems functioning, developing and integrated with wider business strategies.

[p2pc2e]

F1's DC/AC: Assault & Battery

Formula 1 teams source batteries for their power units, specifically the Energy Store (ES) component, from specialized manufacturers and in-house development, driven by the sport’s stringent performance and safety requirements. The disposal of used batteries follows strict regulations to ensure environmental responsibility, given their hazardous materials. Below is a detailed breakdown:

Sourcing of Batteries for Formula 1 Power Units

Specialized Battery Manufacturers:

Companies like Saft, a leader in high-performance batteries, have historically supplied F1 teams with lithium-ion batteries for the Energy Recovery System (ERS). Saft’s experience, including work on defense projects like the Lockheed Martin F-35, has been adapted for F1’s extreme conditions.

About:Energy, a battery testing and software specialist, collaborates with F1 teams to develop and optimize battery performance through simulation and testing, focusing on power density and degradation.

Other suppliers, such as Marelli, provide components like the Motor Generator Unit (MGU) and associated battery systems, tailoring designs to team specifications.

In-House Development by Power Unit Manufacturers:

Major power unit suppliers—Mercedes, Ferrari, Honda, Audi, and Red Bull Powertrains (with Ford)—often develop batteries in-house or in close partnership with specialists. For example:

Mercedes High Performance Powertrains (HPP) in Brixworth, UK, integrates battery development into its power unit program, leveraging expertise from the turbo-hybrid era.

Ferrari designs its own batteries in Maranello, aligning with its power unit strategy to supply its factory team and customers like Haas and Cadillac.

Honda has advanced lightweight battery designs, achieving significant weight reductions (up to 5kg) for performance gains.

These manufacturers work with advanced lithium-ion chemistries, optimizing for high power density (up to 350kW in 2026 regulations) and energy recovery (up to 9MJ per lap).

Collaborative Innovation:

Teams and suppliers push boundaries in battery chemistry and design, exploring formats like cylindrical, pouch, or prismatic cells to balance energy density, weight (20-25kg regulatory limit), and packaging within the chassis.

Emerging technologies, such as solid-state batteries, are under consideration for future F1 applications, offering potential improvements in lifetime and energy density.

Partnerships with academic institutions, like Imperial College London, aid in refining battery performance for motorsport.

Regulatory Compliance:

Batteries must meet FIA safety standards, including UN38.3 for lithium-ion transport and crash test requirements to prevent dangerous reactions. These regulations influence sourcing decisions, as only certified suppliers can meet such demands.

The FIA’s 2026 regulations, emphasizing a 50/50 power split between internal combustion and electric systems, have spurred investment in battery development, attracting new manufacturers like Audi and Ford.

Disposal of Used Batteries

Regulatory Limits on Battery Usage:

FIA rules limit teams to a set number of Energy Stores per season (currently four, reducing to two in future seasons) to control costs and environmental impact. Exceeding this incurs grid penalties, incentivizing durable designs.

Batteries are designed to withstand intense charge-discharge cycles (10-15 per lap, depending on the circuit), but degradation over a season necessitates replacement.

Recycling and Disposal Processes:

Hazardous Material Handling: Lithium-ion batteries contain chemicals that pose environmental risks if mishandled. F1 teams, operating under EU and international regulations, partner with certified recycling facilities to manage disposal. The EU Battery Directive (2006/66/EC) mandates recycling to recover materials like lithium, cobalt, and nickel.

Specialized Recycling Partners: Companies like Umicore and Redwood Materials (common in automotive sectors) recycle lithium-ion batteries, extracting valuable metals for reuse in new batteries or other applications. While F1-specific partnerships are not publicly detailed, teams likely use similar services given the high-value materials involved.

Closed-Loop Systems: Some manufacturers, like Saft, integrate recycling into their supply chains, repurposing materials from used batteries to reduce waste and costs. This aligns with F1’s push for sustainability, including 100% sustainable fuels by 2026.

Repurposing: Degraded F1 batteries, which no longer meet the sport’s performance demands, may be repurposed for less demanding applications, such as energy storage systems or testing rigs, before final recycling. This practice is common in motorsport and automotive industries.

Environmental Considerations:

The FIA and F1 emphasize sustainability, with initiatives like sustainable fuels and increased hybrid efficiency reducing the sport’s carbon footprint. Battery disposal is part of this, with teams required to adhere to strict environmental protocols.

The high energy density and specialized chemistry of F1 batteries (100-275Wh/kg) make recycling complex but critical to avoid landfill waste and comply with regulations.

Challenges and Innovations:

The 2026 regulations, increasing battery power to 350kW and energy recovery to 9MJ per lap, will intensify battery wear, raising disposal frequency. Teams are exploring chemistries that minimize degradation to extend battery life and reduce waste.

Research into fast-charging and durable batteries aims to lower the environmental impact by reducing the need for oversized batteries, which add weight and disposal burdens.

Critical Notes

Limited Public Data: Exact suppliers and disposal partners for each team are closely guarded due to F1’s competitive nature. Information is often proprietary, with teams like Ferrari and Mercedes only broadly acknowledging in-house or specialist involvement.

Sustainability Push: F1’s commitment to net-zero by 2030 drives innovation in battery recycling and sustainable sourcing, but the sport’s high-performance demands create unique challenges compared to road-car battery systems.

Speculative Future: Solid-state batteries or alternative chemistries could reduce disposal issues by offering longer lifespans, but these are not yet standard in F1.

In summary, F1 teams source batteries from elite suppliers like Saft and through in-house programs at manufacturers like Mercedes and Ferrari, focusing on cutting-edge lithium-ion technology. Used batteries are recycled through specialized facilities to recover materials, aligning with environmental regulations and F1’s sustainability goals. The lack of specific team-by-team disposal data reflects the sport’s secrecy, but industry-standard practices provide a reliable framework.

[ciriogcumd]

Maximize Your Printing Efficiency: The Ultimate Guide to Gang Sheet DTF Transfers for Custom Designs

Introduction

Hey there! If you're looking to streamline your printing process and discover a fabulous method for creating custom designs, you’ve landed in the right spot. In this ultimate guide, we’re diving into the world of gang sheet DTF transfers. Trust me; it’s a game-changer for anyone involved in the printing industry. Whether you’re running a small business or managing a larger commercial operation, understanding how to maximize your printing efficiency can save you time, effort, and money. So, roll up your sleeves, and let’s get started!

Maximize Your Printing Efficiency: The Ultimate Guide to Gang Sheet DTF Transfers for Custom Designs What is DTF Printing?

Direct to Film (DTF) printing is one of those innovative technologies that have transformed the way we think about fabric customization. Instead of traditional methods like screen printing or heat transfer printing that can be quite limiting, DTF allows for vibrant colors and complex designs on various fabrics with ease.

Key Features of DTF Printing:

Versatility: Works on cotton, polyester, and blends. Durability: Prints are resistant to cracking and fading. Ease of Use: Simple application process without extensive equipment.

Why should you consider Visit this page DTF? Well, if you want high-quality prints without breaking the bank or spending hours on setup, this might just be the route for you!

Understanding Gang Sheet DTF Transfers

So what exactly is a gang sheet? It's essentially a large sheet that contains multiple designs printed together for efficiency. Instead of wasting space on individual sheets, gang sheets optimize every inch by grouping designs—making them ideal for both small and large runs.

Benefits of Gang Sheets Cost-Effective: Reduces material waste. Time-Saving: Less time spent on setup means more production. Creative Freedom: Allows designers to experiment with multiple designs in one go.

When you're aiming to maximize efficiency in your operations, gang sheet DTF transfers should be at the top of your list!

The Process of Creating Gang Sheet DTF Transfers

Creating custom gang sheets isn’t as daunting as it sounds! Here’s a simple breakdown:

Step 1: Design Creation

Start by creating your digital artwork using design software like Adobe Illustrator or CorelDRAW. Make sure each design fits well within its designated area on the sheet.

Step 2: Print Setup

Load your film into a direct-to-film printer (the best DTF printer will make this step smoother). Adjust settings based on the material you’re using.

Step 3: Print

Print all designs onto the transfer film simultaneously! This is where you'll appreciate how much time you're saving.

Step 4: Apply Powder Adhesive

Sprinkle adhesive powder while the ink is still wet on your prints.

Step 5: Cure

Heat cure your prints using a heat press or oven until fully adhered.

Choosing the Right Equipment for DTF Printing

If you want to ensure quality results with minimal fuss, investing in reliable equipment is crucial. Here are some must-haves:

| Equipment | Description | |-------------------------|---------------------------------

[paladingineer]

The French Fortran Code From Hell

My first job held the grandiose-sounding title of Technical Consulting Engineer, which was a very fancy way of saying "glorified customer support with some additional maintenance tasks."

I was assigned to a piece of software that was used to help people make their code more efficient. Among my duties were: creating documentation and how-to tutorials for the software; answering support tickets for the software; giving lectures on the software; and providing hands-on assistance in what we called Dungeons.

Dungeons were what happened when you locked a bunch of engineers in a windowless room with a handful of TCEs and lunch catering and let them go at their code with the software for the entire duration of the day, completely dead to the outside world - often repeating this process for several days.

I was in quite a few Dungeons during my three horrible years at that soul-sucking job. I want to be clear: the vast majority of this job was the soul-crushing tedium and agony of answering support tickets. The software in question was... not great at providing helpful error messages. 90% of everything resulted in "There's a problem with your license file" even when the license file was fine. So debugging was always an ordeal.

The best ones, strangely enough, were always the tickets from the military, because everything was classified. Anything that happens on their computer is classified. What does the error message say? That's classified. Can you send me the log output? That's classified. What does your license file say on line three? That's classified. You might wonder how this makes anything better for the poor sap trying to debug it. See, when they can't provide you any info, all you can do is send them the entire support script and tell them to go through the steps themselves. Then they message you back a while later politely telling you that it worked and you can now close the ticket. On the other end of the spectrum you had individual customers who bought the software for their own use, and some of these people were real pieces of work. Anyone who has worked customer-facing jobs knows the kind of person I'm talking about.

Anyway, Dungeons were more of an occasional interruption to the never-ending slog of support tickets, and usually a very welcome interruption.

But a couple times it was... let's say interesting. And both of these stories, oddly enough, involve the French.

The first one was the unfortunate time I was in a Dungeon full of engineers who had flown in from France - Paris specifically if I recall correctly. On the 15th of April, 2019. I received a text from my mother with rather alarming news, and thus I had to be the one to inform the room full of French engineers that Notre Dame Cathedral was actively on fire. Needless to say, very little got done that day.

The second one was just plain painful for me. The software in question supports code in both C++ (commonly used language, good) and Fortran (relic from the 1950s, extremely different from most programming languages). It was fairly rare for us to actually deal with the Fortran side of it, however.

But on this occasion, the French engineers I was in a Dungeon with wanted my help optimizing their Fortran code. Fine, I'm not exactly "fluent" but I can probably get the gist of it, I thought.

I was wrong.

You see, this Fortran code was auto-generated. It was not written by human hands and was not intended to be read by human eyes. It contained statements that were hundreds of lines long. Not functions, statements. To those not initiated in programming, this is akin to a run-on sentence that lasts 38 pages. It had variables with such helpful names as xyz and abc. Likewise, for the uninitiated, this is akin to having a pharmacy where all of the bottles are labeled "Medicine, probably."

It had, at some point, been minimally edited, or at least annotated, by humans, however. Because there were a very small handful of comments!

...Which were in French.

I do not speak French.

The French engineers did not know how to translate French Jargon into English.

Obviously, our company did not ever want us to say "we can't." But in this one case, nobody took issue when I looked these French engineers in the eye and just told them "I'm sorry, but this code is beyond our ability to optimize. It is beyond anyone's ability to optimize. It must be cast into the fire and destroyed; and may god help you."

[bumblebeeappletree]

Clayton fostered his love for numbers by playing poker - a lot of poker. Now, he’s using that mentality to launch a vertical farm company that he believes can “replace the produce aisle.”

Up Next ► Aquaponic farms in shipping containers • Aquaponic farms in shi...

“We think everyone deserves access to reliable local food year-round,” says Nebullam co-founder Clayton Mooney. “Our vision is to replace the produce aisle.”

When Mooney and Danen Pool founded indoor farming company Nebullam in 2017, they knew that growing crops indoors would be the future of farming. At the time, however, indoor farming technology was far from futuristic. “We saw that indoor farming was very antiquated,” said Mooney.

So, Nebullam set out to optimize the future of farming. The company's initial goal was to develop and sell technology to up-and-coming indoor farming companies, including software that helps analyze and optimize the production process, and equipment that’s more mobile so farmers can position crops where indoor conditions are ideal.

But when faced with the pandemic, Nebullam had to overhaul their business model. Here’s how the indoor farming company pivoted to become profitable during unprecedented times, and how they plan to continue to scale.

[spacetimewithstuartgary]

Record-breaking run on Frontier sets new bar for simulating the universe in exascale era

The universe just got a whole lot bigger—or at least in the world of computer simulations, that is. In early November, researchers at the Department of Energy's Argonne National Laboratory used the fastest supercomputer on the planet to run the largest astrophysical simulation of the universe ever conducted.

The achievement was made using the Frontier supercomputer at Oak Ridge National Laboratory. The calculations set a new benchmark for cosmological hydrodynamics simulations and provide a new foundation for simulating the physics of atomic matter and dark matter simultaneously. The simulation size corresponds to surveys undertaken by large telescope observatories, a feat that until now has not been possible at this scale.

"There are two components in the universe: dark matter—which as far as we know, only interacts gravitationally—and conventional matter, or atomic matter," said project lead Salman Habib, division director for Computational Sciences at Argonne.

"So, if we want to know what the universe is up to, we need to simulate both of these things: gravity as well as all the other physics including hot gas, and the formation of stars, black holes and galaxies," he said. "The astrophysical 'kitchen sink' so to speak. These simulations are what we call cosmological hydrodynamics simulations."

Not surprisingly, the cosmological hydrodynamics simulations are significantly more computationally expensive and much more difficult to carry out compared to simulations of an expanding universe that only involve the effects of gravity.

"For example, if we were to simulate a large chunk of the universe surveyed by one of the big telescopes such as the Rubin Observatory in Chile, you're talking about looking at huge chunks of time—billions of years of expansion," Habib said. "Until recently, we couldn't even imagine doing such a large simulation like that except in the gravity-only approximation."

The supercomputer code used in the simulation is called HACC, short for Hardware/Hybrid Accelerated Cosmology Code. It was developed around 15 years ago for petascale machines. In 2012 and 2013, HACC was a finalist for the Association for Computing Machinery's Gordon Bell Prize in computing.

Later, HACC was significantly upgraded as part of ExaSky, a special project led by Habib within the Exascale Computing Project, or ECP. The project brought together thousands of experts to develop advanced scientific applications and software tools for the upcoming wave of exascale-class supercomputers capable of performing more than a quintillion, or a billion-billion, calculations per second.

As part of ExaSky, the HACC research team spent the last seven years adding new capabilities to the code and re-optimizing it to run on exascale machines powered by GPU accelerators. A requirement of the ECP was for codes to run approximately 50 times faster than they could before on Titan, the fastest supercomputer at the time of the ECP's launch. Running on the exascale-class Frontier supercomputer, HACC was nearly 300 times faster than the reference run.

The novel simulations achieved its record-breaking performance by using approximately 9,000 of Frontier's compute nodes, powered by AMD Instinct MI250X GPUs. Frontier is located at ORNL's Oak Ridge Leadership Computing Facility, or OLCF.

IMAGE: A small sample from the Frontier simulations reveals the evolution of the expanding universe in a region containing a massive cluster of galaxies from billions of years ago to present day (left). Red areas show hotter gasses, with temperatures reaching 100 million Kelvin or more. Zooming in (right), star tracer particles track the formation of galaxies and their movement over time. Credit: Argonne National Laboratory, U.S Dept of Energy

In early November 2024, researchers at the Department of Energy's Argonne National Laboratory used Frontier, the fastest supercomputer on the planet, to run the largest astrophysical simulation of the universe ever conducted. This movie shows the formation of the largest object in the Frontier-E simulation. The left panel shows a 64x64x76 Mpc/h subvolume of the simulation (roughly 1e-5 the full simulation volume) around the large object, with the right panel providing a closer look. In each panel, we show the gas density field colored by its temperature. In the right panel, the white circles show star particles and the open black circles show AGN particles. Credit: Argonne National Laboratory, U.S Dept. of Energy

[this-week-in-rust]

This Week in Rust 582

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 X (formerly 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.

Want TWIR in your inbox? Subscribe here.

Updates from Rust Community

Official

Announcing Rust 1.84.0

This Month in Our Test Infra: December 2024

Foundation

Announcing Rust Global 2025: London

Newsletters

This Month in Rust OSDev: December 2024

Rust Trends Issue #57

Project/Tooling Updates

cargo.nvim - A Neovim plugin for Rust's Cargo commands

Context-Generic Programming Updates: v0.3.0 Release and New Chapters

The RTen machine learning runtime - a 2024 retrospective

Observations/Thoughts

The gen auto-trait problem

Async Rust is about concurrency, not (just) performance

The Emotional Appeal of Rust

[audio] Brave with Anton Lazarev

[audio] Lychee with Matthias Endler

Rust Walkthroughs

Creating an embedded device driver in Rust

Const Evaluation in Rust For Hex Strings Validation

Concurrent and parallel future execution in Rust

[video] Intro to Embassy: embedded development with async Rust

[video] Comprehending Proc Macros

[video] CppCon - C++/Rust Interop: Using Bridges in Practice

Miscellaneous

December 2024 Rust Jobs Report

Tracing Large Memory Allocations in Rust with BPFtrace

On LLMs and Code Optimization

Nand2Tetris - Project 7 (VM Translator Part 1)

Crate of the Week

This week's crate is vidyut, a Sanskrit toolkit containing functionality about meter, segmentation, inflections, etc.

Thanks to Arun Prasad for the self-suggestion!

Please submit your suggestions and votes for next week!

Calls 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:

RFCs

No calls for testing were issued this week.

Rust

Tracking issue for RFC 3695: Allow boolean literals as cfg predicates

Testing steps

Rustup

No calls for testing were issued 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.

RFCs

Rust

Rustup

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.

Call for Participation; projects and speakers

CFP - Projects

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.

rama - see if improvements can/have-to be made to rama's http open telemetry layer support

rama – add rama to TechEmpower's FrameworkBenchmark

rama – add rama server benchmark to sharkbench

If you are a Rust project owner and are looking for contributors, please submit tasks here or through a PR to TWiR or by reaching out on X (formerly Twitter) or Mastodon!

CFP - Events

Are you a new or experienced speaker looking for a place to share something cool? This section highlights events that are being planned and are accepting submissions to join their event as a speaker.

Rust Week (Rust NL) | Closes on 2024-01-19 | Utrecht, NL | Event on 2025-05-13 & 2025-05-14

Rust Summit | Rolling deadline | Belgrade, RS | Event on 2025-06-07

If you are an event organizer hoping to expand the reach of your event, please submit a link to the website through a PR to TWiR or by reaching out on X (formerly Twitter) or Mastodon!

Updates from the Rust Project

469 pull requests were merged in the last week

add new {x86_64,i686}-win7-windows-gnu targets

arm: add unstable soft-float target feature

-Zrandomize-layout harder. Foo<T> != Foo<U>

best_blame_constraint: Blame better constraints when the region graph has cycles from invariance or 'static

mir_transform: implement #[rustc_force_inline]

run_make_support: add #![warn(unreachable_pub)]

account for identity substituted items in symbol mangling

add -Zmin-function-alignment

add default_field_values entry to unstable book

add a list of symbols for stable standard library crates

add an InstSimplify for repetitive array expressions

add inherent versions of MaybeUninit methods for slices

add missing provenance APIs on NonNull

assert that Instance::try_resolve is only used on body-like things

avoid ICE: Account for for<'a> types when checking for non-structural type in constant as pattern

avoid replacing the definition of CURRENT_RUSTC_VERSION

cleanup suggest_binding_for_closure_capture_self diag in borrowck

condvar: implement wait_timeout for targets without threads

convert typeck constraints in location-sensitive polonius

depth limit const eval query

detect mut arg: &Ty meant to be arg: &mut Ty and provide structured suggestion

do not ICE when encountering predicates from other items in method error reporting

eagerly collect mono items for non-generic closures

ensure that we don't try to access fields on a non-struct pattern type

exhaustively handle expressions in patterns

fix ICE with references to infinite structs in consts

fix cycle error only occurring with -Zdump-mir

fix handling of ZST in win64 ABI on windows-msvc targets

implement const Destruct in old solver

lower Guard Patterns to HIR

make (unstable API) UniqueRc invariant for soundness

make MIR cleanup for functions with impossible predicates into a real MIR pass

make lit_to_mir_constant and lit_to_const infallible

normalize each signature input/output in typeck_with_fallback with its own span

remove a bunch of diagnostic stashing that doesn't do anything

remove allocations from case-insensitive comparison to keywords

remove special-casing for argument patterns in MIR typeck (attempt to fix perf regression of #133858)

reserve x18 register for aarch64 wrs vxworks target

rm unnecessary OpaqueTypeDecl wrapper

suggest Replacing Comma with Semicolon in Incorrect Repeat Expressions

support target specific optimized-compiler-builtins

unify conditional-const error reporting with non-const error reporting

use a post-monomorphization typing env when mangling components that come from impls

use llvm.memset.p0i8.* to initialize all same-bytes arrays

used pthread name functions returning result for FreeBSD and DragonFly

warn about broken simd not only on structs but also enums and unions when we didn't opt in to it

implement trait upcasting

mir-opt: GVN some more transmute cases

miri: add FreeBSD maintainer; test all of Solarish

miri: added Android to epoll and eventfd test targets

miri: adjust the way we build miri-script in RA, to fix proc-macros

miri: illumos: added epoll and eventfd

miri: supported fioclex for ioctl on macos

miri: switched FreeBSD to pthread_setname_np

miri: use deref_poiner_as instead of deref_pointer

proc_macro: Use ToTokens trait in quote macro

add #[inline] to copy_from_slice

impl String::into_chars

initial fs module for uefi

hashbrown: added Allocator template argument for rustc_iter

account for optimization levels other than numbers

cargo: schemas: Fix 'metadata' JSON Schema

cargo: schemas: Fix the [lints] JSON Schema

cargo: perf: cargo-package: match certain path prefix with pathspec

cargo: fix: emit warnings as warnings when learning rust target info

cargo: make "C" explicit in extern "C"

cargo: setup cargo environment for cargo rustc --print

cargo: simplify SourceID Ord/Eq

rustdoc-json: include items in stripped modules in Crate::paths

rustdoc: use import stability marker in display

rustdoc: use stable paths as preferred canonical paths

rustfmt: drop nightly-gating of the --style-edition flag registration

clippy: add new lint unneeded_struct_pattern

clippy: auto-fix slow_vector_initialization in some cases

clippy: do not intersect spans coming from different contexts

clippy: do not look for significant drop inside .await expansion

clippy: do not propose to elide lifetimes if this causes an ambiguity

clippy: do not remove identity mapping if mandatory mutability would be lost

clippy: do not trigger redundant_pub_crate in external macros

clippy: don't emit machine applicable map_flatten lint if there are code comments

clippy: don't suggest to use cloned for Cow in unnecessary_to_owned

clippy: fix type suggestion for manual_is_ascii_check

clippy: improve needless_as_bytes to also detect str::bytes()

clippy: new lint: manual_ok_err

clippy: remove unneeded parentheses in unnecessary_map_or lint output

rust-analyzer: add a new and improved syntax tree view

rust-analyzer: add config setting which allows adding additional include paths to the VFS

rust-analyzer: re-implement rust string highlighting via tool attribute

rust-analyzer: fix JSON project PackageRoot buildfile inclusion

rust-analyzer: do not compute prettify_macro_expansion() unless the "Inline macro" assist has actually been invoked

rust-analyzer: do not offer completions within macro strings

rust-analyzer: fix env/option_env macro check disregarding macro_rules definitions

rust-analyzer: fix ref text edit for binding mode hints

rust-analyzer: fix a bug with missing binding in MBE

rust-analyzer: fix actual token lookup in completion's expand()

rust-analyzer: fix another issue with fixup reversing

rust-analyzer: fix diagnostics not clearing between flychecks

rust-analyzer: make edition per-token, not per-file

rust-analyzer: implement #[rust_analyzer::skip] for bodies

rust-analyzer: implement implicit sized bound inlay hints

rust-analyzer: improve hover module path rendering

Rust Compiler Performance Triage

A quiet week with little change to the actual compiler performance. The biggest compiler regression was quickly recognized and reverted.

Triage done by @rylev. Revision range: 0f1e965f..1ab85fbd

Summary:

(instructions:u) mean range count Regressions ❌ (primary) 0.4% [0.1%, 1.8%] 21 Regressions ❌ (secondary) 0.5% [0.0%, 2.0%] 35 Improvements ✅ (primary) -0.8% [-2.7%, -0.3%] 6 Improvements ✅ (secondary) -10.2% [-27.8%, -0.1%] 13 All ❌✅ (primary) 0.2% [-2.7%, 1.8%] 27

4 Regressions, 3 Improvements, 3 Mixed; 3 of them in rollups 44 artifact comparisons made in total

Full report here

Approved RFCs

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

No RFCs were approved this week.

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

Supertrait item shadowing v2

Tracking Issues & PRs

Rust

remove support for the (unstable) #[start] attribute

fully de-stabilize all custom inner attributes

Uplift clippy::double_neg lint as double_negations

Optimize Seek::stream_len impl for File

[rustdoc] Add sans-serif font setting

Tracking Issue for PathBuf::add_extension and Path::with_added_extension

Make the wasm_c_abi future compat warning a hard error

const-eval: detect more pointers as definitely not-null

Consider fields to be inhabited if they are unstable

disallow repr() on invalid items

Cargo

No Cargo Tracking Issues or PRs entered Final Comment Period this week.

Language Team

No Language Team Proposals entered Final Comment Period this week.

Language Reference

distinct 'static' items never overlap

Unsafe Code Guidelines

No Unsafe Code Guideline Tracking Issues or PRs entered Final Comment Period this week.

New and Updated RFCs

Make trait methods callable in const contexts

RFC: Allow packages to specify a set of supported targets

Upcoming Events

Rusty Events between 2025-01-15 - 2025-02-12 🦀

Virtual

2025-01-15 | Virtual (London, UK) | London Rust Project Group

Meet and greet with project allocations

2025-01-15 | Virtual (Tel Aviv-Yafo, IL) | Code Mavens 🦀 - 🐍 - 🐪

An introduction to WASM in Rust with Márk Tolmács (Virtual, English)

2025-01-15 | Virtual (Vancouver, BC, CA) | Vancouver Rust

Leptos

2025-01-16 | Virtual (Berlin, DE) | OpenTechSchool Berlin + Rust Berlin

Rust Hack and Learn | Mirror: Rust Hack n Learn Meetup

2025-01-16 | Virtual (San Diego, CA, US) | San Diego Rust

San Diego Rust January 2025 Tele-Meetup

2025-01-16 | Virtual and In-Person (Redmond, WA, US) | Seattle Rust User Group

January Meetup

2025-01-17 | Virtual (Jersey City, NJ, US) | Jersey City Classy and Curious Coders Club Cooperative

Rust Coding / Game Dev Fridays Open Mob Session!

2025-01-21 | Virtual (Tel Aviv-Yafo, IL) | Rust 🦀 TLV

Exploring Rust Enums with Yoni Peleg (Virtual, Hebrew)

2025-01-21 | Virtual (Washington, DC, US) | Rust DC

Mid-month Rustful

2025-01-22 | Virtual (Rotterdam, NL) | Bevy Game Development

Bevy Meetup #8

2025-01-23 & 2025-01-24 | Virtual | Mainmatter Rust Workshop

Remote Workshop: Testing for Rust projects – going beyond the basics

2025-01-24 | Virtual (Jersey City, NJ, US) | Jersey City Classy and Curious Coders Club Cooperative

Rust Coding / Game Dev Fridays Open Mob Session!

2025-01-26 | Virtual (Tel Aviv-Yafo, IL) | Rust 🦀 TLV

Rust and embedded programming with Leon Vak (online in Hebrew)

2025-01-27 | Virtual (London, UK) | London Rust Project Group

using traits in Rust for flexibility, mocking/ unit testing, and more

2025-01-28 | Virtual (Dallas, TX, US) | Dallas Rust User Meetup

Last Tuesday

2025-01-30 | Virtual (Berlin, DE) | OpenTechSchool Berlin + Rust Berlin

Rust Hack and Learn | Mirror: Rust Hack n Learn Meetup

2025-01-30 | Virtual (Charlottesville, VA, US) | Charlottesville Rust Meetup

Quantum Computers Can’t Rust-Proof This!

2025-01-30 | Virtual (Tel Aviv-Yafo, IL) | Code Mavens 🦀 - 🐍 - 🐪

Are We Embedded Yet? - Implementing tiny HTTP server on a microcontroller

2025-01-31 | Virtual (Delhi, IN) | Hackathon Raptors Association

Blazingly Fast Rust Hackathon

2025-01-31 | Virtual (Jersey City, NJ, US) | Jersey City Classy and Curious Coders Club Cooperative

Rust Coding / Game Dev Fridays Open Mob Session!

2025-02-01 | Virtual (Kampala, UG) | Rust Circle Kampala

Rust Circle Meetup

2025-02-04 | Virtual (Buffalo, NY, US) | Buffalo Rust Meetup

Buffalo Rust User Group

2025-02-05 | Virtual (Indianapolis, IN, US) | Indy Rust

Indy.rs - with Social Distancing

2025-02-07 | Virtual (Jersey City, NJ, US) | Jersey City Classy and Curious Coders Club Cooperative

Rust Coding / Game Dev Fridays Open Mob Session!

2025-02-11 | Virtual (Dallas, TX, US) | Dallas Rust User Meetup

Second Tuesday

2025-02-11 | Virtual (Tel Aviv-Yafo, IL) | Code Mavens 🦀 - 🐍 - 🐪

Meet Elusion: New DataFrame Library powered by Rust 🦀 with Borivoj Grujicic

Europe

2025-01-16 | Amsterdam, NL | Rust Developers Amsterdam Group

Meetup @ Avalor AI

2025-01-16 | Karlsruhe, DE | Rust Hack & Learn Karlsruhe

Karlsruhe Rust Hack and Learn Meetup bei BlueYonder

2025-01-18 | Stockholm, SE | Stockholm Rust

Ferris' Fika Forum #8

2025-01-21 | Edinburgh, GB | Rust and Friends

Rust and Friends (evening pub)

2025-01-21 | Ghent, BE | Systems Programming Ghent

Tech Talks & Dinner: Insights on Systems Programming Side Projects (in Rust) - Leptos (full-stack Rust with webassembly), Karyon (distributed p2p software in Rust), FunDSP (audio synthesis in Rust)

2025-01-21 | Leipzig, SN, DE | Rust - Modern Systems Programming in Leipzig

Self-Organized Peer-to-Peer Networks using Rust

2025-01-22 | London, GB | Rust London User Group

Rust London's New Years Party & Community Swag Drop

2025-01-22 | Oberursel, DE | Rust Rhein Main

Rust 2024 Edition and Beyond

2025-01-23 | Barcelona, ES | Barcelona Free Software

Why Build a New Browser Engine in Rust?

2025-01-23 | Paris, FR | Rust Paris

Rust meetup #74

2025-01-24 | Edinburgh, GB | Rust and Friends

Rust and Friends (daytime coffee)

2025-01-27 | Prague, CZ | Rust Prague

Rust Meetup Prague (January 2025)

2025-01-28 | Aarhus, DK | Rust Aarhus

Hack Night - Advent of Code

2025-01-28 | Manchester, GB | Rust Manchester

Rust Manchester January Code Night

2025-01-30 | Augsburg, DE | Rust Meetup Augsburg

Rust Meetup #11: Hypermedia-driven development in Rust

2025-01-30 | Berlin, DE | Rust Berlin

Rust and Tell - Title

2025-02-01 | Brussels, BE | FOSDEM 2025

FOSDEM Rust Devroom

2025-02-01 | Nürnberg, DE | Rust Nuremberg

Technikmuseum Sinsheim

2025-02-05 | Oxford, GB | Oxford Rust Meetup Group

Oxford Rust and C++ social

2025-02-12 | Reading, GB | Reading Rust Workshop

Reading Rust Meetup

North America

2025-01-16 | Nashville, TN, US | Music City Rust Developers

Rust Game Development Series 1: Community Introductions

2025-01-16 | Redmond, WA, US | Seattle Rust User Group

January Meetup

2025-01-16 | Spokane, WA, US | Spokane Rust

Spokane Rust Monthly Meetup: Traits and Generics

2025-01-17 | México City, MX | Rust MX

Multithreading y Async en Rust 101 - HolaMundo - Parte 3

2025-01-18 | Boston, MA, US | Boston Rust Meetup

Back Bay Rust Lunch, Jan 18

2025-01-21 | New York, NY, US | Rust NYC

Rust NYC Monthly Meetup

2025-01-21 | San Francisco, CA, US | San Francisco Rust Study Group

Rust Hacking in Person

2025-01-22 | Austin, TX, US | Rust ATX

Rust Lunch - Fareground

2025-01-23 | Mountain View, CA, US | Hacker Dojo

RUST MEETUP at HACKER DOJO | Rust Meetup at Hacker Dojo - Mountain View Rust Meetup Page

2025-01-28 | Boulder, CO, US | Boulder Rust Meetup

From Basics to Advanced: Testing

2025-02-06 | Saint Louis, MO, US | STL Rust

Async, the Future of Futures

Oceania:

2025-02-04 | Auckland, NZ | Rust AKL

Rust AKL: How We Learn Rust

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

This is a wonderful unsoundness and I am incredibly excited about it :3

– lcnr on github

Thanks to Christoph Grenz for the suggestion!

Please submit quotes and vote for next week!

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

Email list hosting is sponsored by The Rust Foundation

Discuss on r/rust

[anarkittyuwuuniverse]

"Like a state, an operating system “governs” the programs and applications under it and networked with it as well as, to some extent, the individuals who avail themselves of these tools and resources. It defines us in relation to itself, and each other, as “users,” and can reward us, reject our requests, or even bar us from access according to its needs. It can also monitor and surveil us. Referring to giant metaplatforms like Android and Apple, the German sociologist Philipp Staab observes, “Their own systems are continuously optimized for maximum convenience, to reduce the need to switch to another system. On the other hand, they make it as difficult as possible for users to use certain services outside their own ecosystem.” This is our starting point for understanding the State. Its central feature is the legal, administrative, and decision-making structure we refer to as government. But the State is a much larger, more complex phenomenon, a comprehensive means of organizing and exercising power that, once it’s launched, expands to cover more and more aspects of existence according to a direction and logic of its own. “The state could never be the means for any special or definite end, as liberalism conceived it to be,” the German anarchist Rudolf Rocker wrote in his classic, Nationalism and Culture ; “it was rather, in its highest form, an end in itself, an end sufficient for itself.” At the same time, and again like a computer operating system, the State is not a material object or entity. The various pieces of “hardware” we associate with it—big, imposing neoclassical buildings fronted by Greco-Roman columns quite often come to mind, along with military bases, roads, and monuments—are merely material containers and symbols of the immaterial reality. An operating system is soft ware, a collection of embedded commands that direct a machine called a computer. The State, too, is “software”: a collection of ideas, doctrines, commands, and processes that direct the deployment of human beings and their deployment of physical resources. The State is at once a political, social-cultural, and economic entity. Like an operating system, it networks together institutions, organizations, and less formal groups including government but also many others: corporations, banks, other financial institutions (state-chartered, as it happens), and other underpinnings of capitalism; eleemosynary (nonprofit and charitable) institutions; so-called civil society groups and political parties (especially “established” parties like the Democrats and Republicans in the United States, which have evolved into quasi-state institutions); and even basic units like families and households. Other institutions and groupings that form part of the State furnish cultural and even paramilitary support to the social order, strengthen organized religion, and reinforce racial and gender stratification: for instance, the extreme wings of the nativist Alternative for Germany; the Hindu nationalist Rashtriya Swayamsevak Sangh (RSS) in India; and the American Legion, the Ku Klux Klan, the National Rifle Association, militia groups, the Proud Boys, and the Southern Baptist Convention in the United States." -The operating system: An anarchist theory of the modern state

[luizsiqueiraneto]

The true desktop metaphor is macOS

Since its initial classic version, macOS (originally called Macintosh System Software) has adopted a graphical approach that prioritizes consistency and user integration with the digital environment. The concept of operating with a single visible application, characterized by a fixed menu at the top of the screen, distinguishes macOS from many other operating systems that were inspired by it. This menu remains stable regardless of the number of open windows, establishing an intuitive relationship between the user and the system. This design harkens back to systems with interfaces exclusively based on text, where only one application was executed at a time, maintaining control at a fixed point and reducing confusion, thereby promoting an organized workflow.

With the introduction of multitasking, Apple decided to preserve the paradigm of one application at a time on the screen, later allowing the viewing of background application windows while working in the focused application. To this day, it is possible to completely hide background application windows in macOS; to do so, simply press the Command key along with the H key (Command + H), making only the active application's windows visible.

To differentiate its system from macOS, Microsoft chose to display each application in a window instead of occupying the entire screen like macOS, which gave rise to the system's name: Windows. However, this choice created a challenge: if applications are in windows, where could users manipulate documents? To address this issue, Microsoft adopted the concept of Multiple Document Interface (MDI). This approach significantly deviated from the cohesive logic of macOS and broke the paradigm of the workspace.

MDI example

In an MDI environment, multiple document windows could be contained within a single "parent window." Although this structure provided a solution for document management, it also introduced unnecessary complexity, making it difficult to manage each document individually. For users, the presence of multiple "child" windows under a main window created a confusing and fragmented semantic experience, distancing them from the direct and intuitive organization of the interface and compromising the use of the workspace as a support for activities.

The gradual abandonment of MDI by Microsoft helped resolve some of this confusion but brought forth a new problem: high memory consumption. In Windows, each open document began to require its own instance of the application, significantly increasing resource usage. In contrast, macOS maintained a single-instance approach: one application could manage multiple documents without creating new instances for each one. This optimizes memory usage and contributes to more efficient performance. In macOS, there are no copies of the same application running; there is only one instance, resulting in greater efficiency for the system and clearer user experience.

Mac OS Classic

Another essential aspect that differentiates macOS's philosophy is the "desktop" paradigm. Since its early versions, the desktop in macOS has functioned as a natural extension of physical workspace. Users could drag and drop texts, images, files, and other objects directly onto the desktop for temporary storage and later use. This model directly reflects a physical desk where items being worked on can be left while another task is performed, allowing for easy retrieval later.

For this reason, it has never been truly possible in macOS to make a window occupy the entire screen; doing so would compromise the idea that the desktop is more than just a background. It allows users to interact both within the application window and with objects arranged on their workspace. Thus, the Zoom behavior—clicking on the Zoom Box in classic macOS or double-clicking at the top of a window—does not maximize the window on-screen; instead, it seeks to adjust it to optimize content presentation while allowing manipulation of objects on the desk.

This philosophy continues today in macOS Sequoia; even with the adoption of “Snap,” which automatically organizes windows on-screen, they do not touch each other or the screen edges—reinforcing thus the paradigm of windows on a workspace while preserving original language intact and coherent. The red button on windows aims to emulate iPadOS and iOS functionality, facilitating adoption by users already familiar with these systems.

To accommodate iPadOS and iOS paradigms—which lack a workspace—macOS employs the concept of Spaces introduced alongside Mission Control. This concept allows for multiple applications and distinct workspaces within their own spaces. The first workspace always contains a desktop area, thus prioritizing classic window and workspace paradigms.

In Windows, users tend to maximize application windows, rendering workspace use ineffective. When an application is maximized in Windows, it emulates total focus on that application—similar to what occurs in macOS—but renders workspace use impossible. Over time, Windows completely abandoned this area; it became primarily a location for program shortcuts.

The ability to drag and drop objects in macOS reinforced a strong focus on "drag-and-drop" interaction, creating a more immersive experience for users. This behavior was inspired by earlier systems like Xerox Alto and Xerox Star that explored graphical interface concepts with direct object manipulation. macOS enhanced this idea by offering an interface where digital components could be dragged and intuitively manipulated like physical objects.

NeXTSTEP

This paradigm transformed user experience into something more cohesive; the desktop was not just a place for application shortcuts but an extension of ongoing work. The influence of NeXTSTEP—the operating system developed by Steve Jobs after leaving Apple—reinforced this design philosophy. With concepts like object-oriented development introduced by NeXTSTEP, significant advances were made in macOS's structure and usability.

The Dock, for example—one of macOS's most iconic elements—originated from NeXTSTEP and provides quick access to applications and documents in a single accessible visual line. Additionally, NeXTSTEP introduced advanced frameworks that enabled more modular and interactive applications. These technical details reflect coherence and elegance in macOS's interface.

The system is designed not only to execute specific functions but also to provide intuitive integration between user and machine, promoting a work semantics more aligned with what is natural in graphical environments. While Windows and other operating systems have attempted to emulate parts of this unique macOS experience, many concepts remain unmatched within this system.

Over decades, this approach to graphical interface has solidified as a reference for coherence and functionality; drawing inspiration from past systems (like Xerox Star and NeXTSTEP) while remaining true to its clear user experience vision. This established continuity and simplicity in interactions that contribute even today to perceiving macOS as more than just an operating system: it is seen as a natural extension designed to work harmoniously with its user beyond superficial appearances.

[icgoodfind]

Beginner's learning to understand Xilinx product series including Zynq-7000, Artix, Virtex, etc.

Xilinx (Xilinx) as the world's leading supplier of programmable logic devices has always been highly regarded for its excellent technology and innovative products. Xilinx has launched many excellent product series, providing a rich variety of choices for different application needs.

I. FPGA Product Series

Xilinx's FPGA products cover multiple series, each with its own characteristics and advantages.

The Spartan series is an entry-level product with low price, power consumption, and small size. It uses a small package and provides an excellent performance-power ratio. It also contains the MicroBlaze™ soft processor and supports DDR3 memory. It is very suitable for industrial, consumer applications, and automotive applications, such as small controllers in industrial automation, simple logic control in consumer electronics, and auxiliary control modules in automotive electronics.

The Artix series, compared to the Spartan series, adds serial transceivers and DSP functions and has a larger logic capacity. It achieves a good balance between cost and performance and is suitable for mid-to-low-end applications with slightly more complex logic, such as software-defined radios, machine vision, low-end wireless backhaul, and embedded systems that are cost-sensitive but require certain performance.

The Kintex series is a mid-range series that performs excellently in terms of the number of hard cores and logic capacity. It achieves an excellent cost/performance/power consumption balance for designs at the 28nm node, provides a high DSP rate, cost-effective packaging, and supports mainstream standards such as PCIe® Gen3 and 10 Gigabit Ethernet. It is suitable for application scenarios such as data centers, network communications, 3G/4G wireless communications, flat panel displays, and video transmission.

The Virtex series, as a high-end series, has the highest performance and reliability. It has a large number of logic units, high-bandwidth serial transceivers, strong DSP processing capabilities, and rich storage resources, and can handle complex calculations and data streams. It is often used in application fields with extremely high performance requirements such as 10G to 100G networking, portable radars, ASIC prototyping, high-end military communications, and high-speed signal processing.

II. Zynq Product Series

The Zynq - 7000 series integrates ARM and FPGA programmable logic to achieve software and hardware co-design. It provides different models with different logic resources, storage capacities, and interface numbers to meet different application needs. The low-power consumption characteristic is suitable for embedded application scenarios such as industrial automation, communication equipment, medical equipment, and automotive electronics.

The Zynq UltraScale + MPSoC series has higher performance and more abundant functions, including more processor cores, larger storage capacities, and higher communication bandwidths. It supports multiple security functions and is suitable for applications with high security requirements. It can be used in fields such as artificial intelligence and machine learning, data center acceleration, aerospace and defense, and high-end video processing.

The Zynq UltraScale + RFSoC series is similar in architecture to the MPSoC and also has ARM and FPGA parts. However, it has been optimized and enhanced in radio frequency signal processing and integrates a large number of radio frequency-related modules and functions such as ADC and DAC, which can directly collect and process radio frequency signals, greatly simplifying the design complexity of radio frequency systems. It is mainly applied in radio frequency-related fields such as 5G communication base stations, software-defined radios, and phased array radars.

III. Versal Series

The Versal series is Xilinx's adaptive computing acceleration platform (ACAP) product series.

The Versal Prime series is aimed at a wide range of application fields and provides high-performance computing and flexible programmability. It has high application value in fields such as artificial intelligence, machine learning, data centers, and communications, and can meet application scenarios with high requirements for computing performance and flexibility.

The Versal AI Core series focuses on artificial intelligence and machine learning applications and has powerful AI processing capabilities. It integrates a large number of AI engines and hardware accelerators and can efficiently process various AI algorithms and models, providing powerful computing support for artificial intelligence applications.

The Versal AI Edge series is designed for edge computing and terminal device applications and has the characteristics of low power consumption, small size, and high computing density. It is suitable for edge computing scenarios such as autonomous driving, intelligent security, and industrial automation, and can achieve efficient AI inference and real-time data processing on edge devices.

In short, Xilinx's product series are rich and diverse, covering various application needs from entry-level to high-end. Whether in the FPGA, Zynq, or Versal series, you can find solutions suitable for different application scenarios, making important contributions to promoting the development and innovation of technology.

In terms of electronic component procurement, Yibeiic and ICgoodFind are your reliable choices. Yibeiic provides a rich variety of Xilinx products and other types of electronic components. Yibeiic has a professional service team and efficient logistics and distribution to ensure that you can obtain the required products in a timely manner. ICgoodFind is also committed to providing customers with high-quality electronic component procurement services. ICgoodFind has won the trust of many customers with its extensive product inventory and good customer reputation. Whether you are looking for Xilinx's FPGA, Zynq, or Versal series products, or electronic components of other brands, Yibeiic and ICgoodFind can meet your needs.

Summary by Yibeiic and ICgoodFind: Xilinx (Xilinx) as an important enterprise in the field of programmable logic devices, its products have wide applications in the electronics industry. As an electronic component supplier, Yibeiic (ICgoodFind) will continue to pay attention to industry trends and provide customers with high-quality Xilinx products and other electronic components. At the same time, we also expect Xilinx to continuously innovate and bring more surprises to the development of the electronics industry. In the process of electronic component procurement, Yibeiic and ICgoodFind will continue to provide customers with professional and efficient services as always.

[seogoogle1]

Windows Server 2016: Revolutionizing Enterprise Computing

In the ever-evolving landscape of enterprise computing, Windows Server 2016 emerges as a beacon of innovation and efficiency, heralding a new era of productivity and scalability for businesses worldwide. Released by Microsoft in September 2016, Windows Server 2016 represents a significant leap forward in terms of security, performance, and versatility, empowering organizations to embrace the challenges of the digital age with confidence. In this in-depth exploration, we delve into the transformative capabilities of Windows Server 2016 and its profound impact on the fabric of enterprise IT.

Introduction to Windows Server 2016

Windows Server 2016 stands as the cornerstone of Microsoft's server operating systems, offering a comprehensive suite of features and functionalities tailored to meet the diverse needs of modern businesses. From enhanced security measures to advanced virtualization capabilities, Windows Server 2016 is designed to provide organizations with the tools they need to thrive in today's dynamic business environment.

Key Features of Windows Server 2016

Enhanced Security: Security is paramount in Windows Server 2016, with features such as Credential Guard, Device Guard, and Just Enough Administration (JEA) providing robust protection against cyber threats. Shielded Virtual Machines (VMs) further bolster security by encrypting VMs to prevent unauthorized access.

Software-Defined Storage: Windows Server 2016 introduces Storage Spaces Direct, a revolutionary software-defined storage solution that enables organizations to create highly available and scalable storage pools using commodity hardware. With Storage Spaces Direct, businesses can achieve greater flexibility and efficiency in managing their storage infrastructure.

Improved Hyper-V: Hyper-V in Windows Server 2016 undergoes significant enhancements, including support for nested virtualization, Shielded VMs, and rolling upgrades. These features enable organizations to optimize resource utilization, improve scalability, and enhance security in virtualized environments.

Nano Server: Nano Server represents a lightweight and minimalistic installation option in Windows Server 2016, designed for cloud-native and containerized workloads. With reduced footprint and overhead, Nano Server enables organizations to achieve greater agility and efficiency in deploying modern applications.

Container Support: Windows Server 2016 embraces the trend of containerization with native support for Docker and Windows containers. By enabling organizations to build, deploy, and manage containerized applications seamlessly, Windows Server 2016 empowers developers to innovate faster and IT operations teams to achieve greater flexibility and scalability.

Benefits of Windows Server 2016

Windows Server 2016 offers a myriad of benefits that position it as the platform of choice for modern enterprise computing:

Enhanced Security: With advanced security features like Credential Guard and Shielded VMs, Windows Server 2016 helps organizations protect their data and infrastructure from a wide range of cyber threats, ensuring peace of mind and regulatory compliance.

Improved Performance: Windows Server 2016 delivers enhanced performance and scalability, enabling organizations to handle the demands of modern workloads with ease and efficiency.

Flexibility and Agility: With support for Nano Server and containers, Windows Server 2016 provides organizations with unparalleled flexibility and agility in deploying and managing their IT infrastructure, facilitating rapid innovation and adaptation to changing business needs.

Cost Savings: By leveraging features such as Storage Spaces Direct and Hyper-V, organizations can achieve significant cost savings through improved resource utilization, reduced hardware requirements, and streamlined management.

Future-Proofing: Windows Server 2016 is designed to support emerging technologies and trends, ensuring that organizations can stay ahead of the curve and adapt to new challenges and opportunities in the digital landscape.

Conclusion: Embracing the Future with Windows Server 2016

In conclusion, Windows Server 2016 stands as a testament to Microsoft's commitment to innovation and excellence in enterprise computing. With its advanced security, enhanced performance, and unparalleled flexibility, Windows Server 2016 empowers organizations to unlock new levels of efficiency, productivity, and resilience. Whether deployed on-premises, in the cloud, or in hybrid environments, Windows Server 2016 serves as the foundation for digital transformation, enabling organizations to embrace the future with confidence and achieve their full potential in the ever-evolving world of enterprise IT.

Website: https://microsoftlicense.com