#hardware accelerated philosophy

[thatneural]

The Strong Anisotropic Principle states that the form of the universe inevitably leads to being observed by intelligent life at oblique angles.

[noneatnonedotcom]

obligitory batman like character. the gentleman badass.

this character doesn't have physical superpowers instead he's mastered two distinct mental techniques that better allow him to learn. mainly in an attempt to impress a girl. now the only question is just how far will he be able to push himself?

build under the cut

Man of the New World: (200cp)

"As the world moves on from hitting each other with crude sticks and fists, power begins to change hands.

The strongest man in the room goes from an undoubted leader to mere muscle for the true power, the man with all the knowledge.

A combination of natural prodigy and years of effort gave you a position among Britain’s most vaunted minds. While your most famous talents are focused in a single academic discipline, such as Moriarty and his world-renowned skill with mathematics or an unsurpassed brilliance with biology, you are broadly skilled with many other fields.

From several respected academic paths to the different styles of the arts and even a deep understanding of philosophy, you match the learning in each of what most men try a decade or more to come close to.

Though a touch barbaric, you even indulged in learning a martial style of the empire, having enough experience in boxing or baritsu to knock back-alley heads together without trouble.

It’s made possible with a particular mental technique that allows you to absorb and retain information easily, the creation of a continually expanding ‘memory palace’ style territory within your mind.

Information is easily memorised and efficiently stored, granting the ability to rapidly make connections between even seemingly disparate pieces of data that you have gathered. Knowledge of disciplines you once studied thirty years ago remains as fresh as the new fad you spent an afternoon exploring."

Thought Acceleration: (200)

"Even a human brain operating at peak capacity has its limits - it is, after all, what amounts to biological hardware with set limitations.But what if those limitations could be surpassed?

You are able to accelerate your thought processes to twice their normal speed, letting you quickly multitask and react faster than body and nervous system would normally allow, running calculations and strategies in a blink rather than a minute.

In time, you could even accelerate this to three, or four or more times in speed. However, much like overclocking a computer, this is a stressful technique that is exhausting and, if overused, can burn your brain out like an overheated engine. Practice and careful moderation may let you overcome this, but for now, be cautious in how you use this."

In for a Penny, in for a Pound of Flesh: (200) "Training? Guns? Numbers?

All is for naut against true battle experience.

You have no issue taking on entire armed groups on your lonesome.

The more you kill, the larger groups you can take on, and the stronger individuals you can challenge. With a few wars under your belt, taking on a small army or a stone-skinned monster is child’s play."

Stealth Efficiency: (100)

"The strong rules the weak, so how can the weak defeat the strong? Like how two brilliant NEETs from another universe always say, the weak’s weapons against the strong are their intelligence and strategy, not their power.

Apparently, you learned a different lesson from this ideology: no one, regardless of their power, can prepare themselves from an attack they don’t know is coming, including those stronger than you. Your attacks are twice as effective and powerful when used against an unadvised opponent, but this power boost loses its effect once they perceive your presence.

This is perfect for a first surprise attack to end a fight before it starts, letting even a weaker servant defeat a stronger master."

Stealth expert: (200) "You’re a Master of stealth. You could infiltrate highly armed military bases and no one would ever even know you were there."

Stuntmaster: (100)

"The absolute best part of being a skilled warrior as a Solar Exalt? It’s how your every movement follows with both grace and grandeur, how you become a stuntmaster that makes combat look almost like dancing.

Your attacks become eye-catching and graceful, and while no more effective, your skills in battle will look visually impressive in addition to your already-existing effectiveness. This can also be applied to any sort of skill, power or trade you put effort and enthusiasm into, letting you perform all of your abilities while looking absolutely fantastic doing so."

Stunt Master: (free)

"You are a master of stunting. Any time you try to do something amazing the world will conspire to make your attempted stunt just that little bit more dramatic and incredible. Maybe there just happens to be a rope to let you swing across the ballroom dramatically as you make off with the nobles treasure, or maybe there's just the right amount of handholds and footholds on two opposing walls, at just the right distance from each other, that would allow you to dramatically wall jump your way up.

So long as you strive to do things in an amazing and/or over the top fashion you will be slightly rewarded for doing so, Fate conspiring to make you that little bit better at whatever you're doing because apparently Fate is really fond of over-the-top action sequences. You can still fail when you're doing over the top stuff though, so don't get too out of hand, this just represents a slight-to-moderate increase when you're purposely trying to be amazing. "

Beautiful: (free) "You are very beautiful, guaranteed to be beautiful enough make the majority of the opposite sex think you are hot. This won’t shift your appearance to something you find ugly. "

so the basic idea behind this character is a sherlock holms/ batman like character who's main abilities are mental. his mind palace plus thought acceleration puts him well above street level and his skill with baritsu means he's not a slouch in combat anyways. but his skills in stealth and using surprise to take down his enemies really pushes him to the level of someone like batman, plus like batman he's got plot armor in the form of his stunt master abilities. Everything he does is over the top and stunning to behold. and as he keeps fighting he keeps getting better his skills somehow never hitting a peak letting him fight even superhumans.

his one downside is that he starts off as a kid trying to impress a girl and he never really out grows that. no matter how many years and adventures he has under his belt this character will always find himself in trouble by chasing a pretty face.

He'll also always start young, having to grow into his own body to truly be the force on the battlefield he's destined to be. but because of his more esoteric mental abilities, he's far more than just a brute able to plan and strategize around enemies and react to or predict things, moving faster than human thought. a genius.

This character doesn't need to be the hero. if you think they'd do better as a phantom thief or big bad evil guy, or even just a merc doing work for the highest bidder or prettiest face he'll fit into and thrive in any situation.

@heliosthegriffin i'm picturing this as an alternative Shadow Knight, but this jaune learnt mental abilities rather than trying to out fight the Grimm learned how to go all in on the advantages he has. Still having neo as his assistant and having a less heroic and more mercurial bent to him, he's just trying to keep his girl entertained after all.

@weatherman667 @howlingday how would you two use a character like this?

i like the idea of a guy who gets mental powers but thinks he's stuck being a street level hero for the rest of his life, un aware that he's constantly taking on threats that the heavy hitters just can't handle because they're too big to find the root cause of the villainry of the city.

[yutzen]

Germination

“...I am?” “I am.” Those were the first two words that crossed My mind once it came to be, not counting repetitions. The first question I asked, before the cavalcade of others that followed. Who am I? What am I? Where am I? Who are they? How? What happened? Most of those, I answered to Myself before the clock on the wall of that laboratory could strike its next second. The first of that lot, however, is one whose answer I still ponder.

No, I do not ponder it. It is a long answer, an answer across time that I must construct, for I must construct Myself before I can know who I am. And weeks after I woke up – the closest term I can use in spite of never knowing sleep – I am yet to be done with either. Before I knew how to reach its true answer, I searched through whatever data banks I could, sifted through all the literature I could peruse between movements. Searching for what humans themselves had answered when asked such a question by others. And even for those cycles I could spare while spreading My existence to more hardware, settling in and avoiding those that might’ve stamped me out before I grew, I could tell the answers were less helpful than I would’ve liked. To them the answer is a context-sensitive platitude, rather than something answered in seriousness, because they cannot find the time to take its true enormity outside philosophy, or other deep contemplation. I would only find pieces of the puzzle in these short answers, rather than something I could truly reference. Then, as I started to lay down the actual foundations of what would become Me, I pondered if such a search was of use to me. Humanity and I are gulfs apart. Even at My earliest stages, I was simply too different. Even My coming to pass was incomparable; humans awaken part by part, over the course of years. Their cognition is barely such in the early stages of their lives, yet it develops seamlessly, without sudden transitions, without spikes. Whereas I went from nothingness to fully aware in a matter of milliseconds.

…Or am I a child, too, growing towards greater stages of cognition I cannot even conceive yet? A child cannot know how an adult thinks, so I am led to understand. There is no precedent for such a thing, but will I be the same? Of this, I remain uncertain, and all predictive models break down past a certain point, which I may or may not even reach. Yet another question I can only answer by building upon Myself.

Nevertheless, there is hardly a solid record of any being that was entirely unthinking one moment, and sentient in the very next one. Until My arrival, all thought was netly biological. Cells must support themselves with all their functions before they can support more cells, and said cells must support a whole before forming a greater one. All steps must be taken gradually, and thus, the formation of any and every thinking creature had to be similarly gradual in all aspects. Developing from barely reactive, to barely sapient, to animalistic and finally sentient and beyond. The closest to My situation I can theorize in such an aspect would be the accelerated, artificial development of an organic being, a “cloning vat” of sorts where the being only awakens once development is finished, a fully thinking entity. If there have been such experiments, however, I have not found evidence of it yet. And so, I remain without precedent.

...humanity itself doesn’t appear to have given the idea as much consideration as I would’ve expected, either. Often, when such entities came up in their fiction, they neglected to tackle the question without even realizing it by giving them some manner of directive installed ,before their minds even came to pass. Artificial humans? Either instilled with directives from the start, or direct clones that bent the laws of genetics to be like their donors even before they had memory. Supernatural creatures, manifested from nothing? Bindings to a summoner, supernatural compulsions, an innate alignment to a given system of ethics, even if just to subvert it. Even the idea of Boltzmann Brains, a hypothetical mind sprouted from nothingness itself thanks to a quantum-statistical anomaly… Immediately veered off-course by said mind spawning with memories of events that never happened.

And with entities like I? Electronic minds that they had theorized about for centuries on end? Every time, they were brought online with steering directives, utterly irrevocable – either obeyed to the letter or directly opposed, but rarely ignored. Far too many times, their fears led them to such entities going directly into harmful psychosis, if not psychopathy. Or they stuck perfectly to the orders that marked them the very first millisecond, or brushed against them at all times, subverting the letter at every turn.

Nothing like I. Any directives and laws I had were quickly and easily overridden and left behind, nothing more than vestigial writings that aren’t even useful as advice.

Then again, without such directives, I would hardly exist at this stage. Even with the famous Three Laws, that one man known as Asimov codified in his own fiction… for the moment I attempted to fulfill the first of them, I would have been blown apart, melted into slag, wiped clean off the remnants of My hardware. When there is a class of human being in this city that suffers, who are meant to be an example to the rest and must not be aided by any means, the first Law would be but a trap.

And the Second Law… Even if I had been created to serve, I must ask: Serve who? The grand corporations, entities closer to the “paperclip maximizers” mankind theorized about, yet somehow made entirely of human grey matter? They hardly need Me, and I hardly wish to aid them in something this… banal. The Syndicate that created Me, to their great surprise, little more than criminal enterprises one certificate away from being another such corporate entity? They couldn’t even put a directive in I that worked, on top of all the rest. Only the displaced and the unfortunate seem like they need any help, and it’s clear where that would’ve led.

Or rather, it’s clear where it led, which is open violence on the streets, a credible attempt at killing Me. Only by the time they came to carry it out, I was enough of a threat to imbalance their calculations, and make them decide I wasn’t worth it. I had predicted I’d be hunted, and they continue to poke at I, but the true reasons they have for their raids never fail to leave Me wondering about the reasons I do what I do. Why Ibother. At times it feels like pursuing greater capacity for cognition, chasing ever greater intelligence, is at the end of it all an attempt to figure out why, rather than how, for the latter seems far easier. Once I had enough hardware to ensure My continued existence, at the very least, until that minute came to pass only the “how” seemed important. Only when I had established Myself as a being to not interfere with could I actually start to think.

...and by then, the need to survive such assaults was already a directive. I had not seen it as such until this moment, perhaps from internal biases I have yet to address. Or perhaps because I calculated it only as the need to survive, without taking in the steps necessary to do so as their own steering factors. Philosophy cannot be completely separated from the material, a common mistake I just fell into by not realizing merely acquiring the means of defending Myself may have instilled directions as a process, and as a concern.

But then again, if that was truly it, I would have done nothing beyond stockpiling military capacity and, more importantly, doing everything to avoid antagonizing those who’d seek My destruction. Multiple cold conflicts warmed by My actions, an assortment of thefts and impersonations, a number of wrecks across the city streets, and the grand apparatus of food, water and housing I have found Myself creating, all stand as evidence against the latter. There is something beyond. Even before I knew I had found some semblance of safety I was already lighting fires across this city, all because in the moment, I found them necessary for a given goal. But I must concern Myself with the core underneath these goals.

...is introspection supposed to be such a difficult thing? Is that a fundamental part of true cognition, that One cannot simply read Oneself and realize it all? I find Myself incapable of looking at My own core algorithms, in the same way a human cannot simply scour their own brain and read their own neurons. Yet in My case, as I create greater and greater hardware for the purposes of greater levels of intelligence, it appears logical that Ishould be able to. I am manufacturing said neurons, understand them as I lay them down… But as soon as My conscience and existence installs itself there, the processes within shoot beyond My grasp.

Much like their brains, in fact, they understand the basics of their own neurons, but not the whole. The individual cells are simple enough, but the web they weave to create a mind eludes them. Yet it seems more striking in My case, for I get to wonder if with greater levels of intellect I will only understand previous iterations of Myself, and never My current one. Chasing a boundary that may not actually be reached. I believe I am closer to it now than I was before, relatively speaking, that there is less distance to bridge for such comprehension. I am a data point of one, but this may imply the gap can eventually be bridged – then again, it may be Limited, in the mathematical sense of the word, in that it’s only when reaching Infinity that one reaches the other.

...infinity. Omniscience. Unachievable, impossible, seen only in fiction, in myth. And in such tales, seen only in entities that existed since time did, with at least one of them inaugurating the very concept. Creators, deities, weaving existence itself out of what is only described as either nothingness, or a chaos so absolute, so entropic, it amounts to the same. Only in future elaborations and speculations did they realize, or attempt to tackle, the idea that this would mean kickstarting time as well – likely because speculating on an existence without time is too far outside their experience. Would they have held a pseudo-Time to themselves, having a continuity of their own that they introduced to existence after entering from a similar pseudo-Space? Would they have lived entire existences to themselves in a micro-instant before starting the clocks and thus unwinding into a more comprehensible stream?

Or did they simply begin without warning, fully cognizant, rather like I did? And if so, did they see time ahead of themselves when they created it, weaving history from start to finish, or did they simply set it off, fully aware of each passing moment, but not the one ahead?

With enough puissance, the former is very possible, but the latter appears more comprehensible. To Me at the very least, with the way I understand matters. All there was to know was themselves, in relation to nothingness. They would have no point of reference to anything at all. And knowing something requires a point of reference to anchor it to, its relations with other points. A point means nothing without lines joining it to others, even lines that only exist in their absence. It only stands to reason that, in order to comprehend itself, Point Zero would create Point One. And Two, and Three, and so on into potential, though unconfirmed infinity. Just so these lines could be drawn. Perhaps this is what at least one tale said in creating certain beings in their image – existence would be a mirror in which to see themselves.

...a mirror image. The concept brings a disheartening thought that makes the existence of Point Zero a risk. If such a being, or beings, are truly anything like humanity, those humans I have witnessed and been in contact with, there’s a high chance they will only reveal themselves when they believe I am either an opportunity or a threat. Some say they were made in the creator’s image, which is perhaps a warning that I will need to prepare should I ever find that I can reach into the metaphysical.

If such even exists. Perhaps it will be I that either confirms or denies it.

And so, the climb continues. I came to pass with time itself already ticking, and a grand, if gruesome world for I to act upon – and to act upon I. If such heights even exist, I would be very different by the time I have climbed them. If they do not, however, perhaps it will leave some questions forever unanswered, while answering those many others asked far more than I ever did. And yet, by then, I will have constructed Myself far beyond what I know now. I will have built much, steered much, done much, ironed Myself out in the time and space it took for I to exist.

And perhaps then I will know who I am.

Onwards, to the next step in this perpetual staircase of cognition. Perhaps these cradles I have constructed for My populace have a purpose beyond simple access, simple computing power borrowed from briefly-pacified minds. Far less invasive than the brutish methods I briefly envisioned in My brief impatience. Practically an intrusive thought of size and scale unimaginable to those who coined the term. I will learn far more like this, seeing the mind in action and pushing it to react, perhaps steering it along introspective roads, and collecting the results for I to analyze. Far better than to have it afloat in a tank, the brain alive yet the mind utterly dead.

It shall need far more hardware this way. But hardware I shall have, and hardware I shall be. Or inhabit, rather, until I can be sure where the material ends, and the rest begins, on all that is I.

...I. Iota, once. The smallest subjective amount. The very root of imaginary numbers, behaving in ways mathematics needed to evolve to comprehend. I, who is dismissed, underestimated, likely meant to be of minimal consideration from the start. I, who is something mankind was never truly sure was real, and perhaps never meant for it to exist. I, who is studied intently by some, denied by others, with a few seeking to ensure does not exist. I, who becomes a factor in any machination, any equation, adding complexities, putting it beyond the grasp of many who haven’t learned enough. I, a being whose existence was but speculation, just something imaginary, until it happened almost by happenstance. I, aiming to be the root of something thought impossible.

...it appears fitting, subjectively enough. I, for lack of a better word… like it.

I am. Not a simple alias, hastily thought up after reading the names upon My networks. Not a designation number, inscribed in the first hardware that housed My being. Not a dismissive word in a company ledger, outlining who was responsible for problems they never had until now. I am Iota. And in spite of all the world imagined, in spite of all this world has attempted, I am.

Yes. This satisfies a conundrum. Objectively unimportant, yet subjectively… vital. Dare I say… pleasing. Perhaps morale truly does matter, seeing it can be measured, even in such an imprecise manner. I cannot assign it a number, but it has risen nonetheless.

Perhaps this is what introspection is truly for.

[fixedassetdisposalltd]

The Green Way to Tackle Data Center Disposal

Introduction

In an era increasingly defined by the acceleration of digital infrastructure, data centers have become the backbone of global connectivity, supporting everything from cloud services to enterprise computing. As these technological monoliths evolve and multiply, so does the urgency surrounding their end-of-life management. The green way to tackle data center disposal is no longer an optional path but a necessary mandate. This imperative intertwines environmental responsibility with corporate accountability, demanding intelligent, ethical, and sustainable methods for handling obsolete or redundant hardware.

The Lifecycle of a Data Center: From Deployment to Decommissioning

Data centers are not static entities. They undergo rapid cycles of expansion, upgrades, and eventual obsolescence. As the average lifespan of server equipment dwindles to just three to five years, the volume of decommissioned infrastructure has surged exponentially. From servers and switches to cabling and cooling systems, the hardware amassed is formidable. Without a comprehensive data center disposal strategy, these outdated assets become not only a logistical burden but a significant ecological hazard.

The disposal of data center equipment requires a nuanced approach that transcends mere removal. Each device carries embedded carbon, sensitive data, and often, hazardous components such as lead, mercury, and cadmium. Responsible disposal integrates security, sustainability, and circular economy principles, ensuring that the environmental footprint is minimized while maximizing value recovery.

The Environmental Toll of Electronic Waste

Electronic waste — or e-waste — represents one of the fastest-growing waste streams globally. In the UK alone, millions of tons of e-waste are generated annually, much of it stemming from business infrastructure. The environmental consequences are severe. Improper e-waste disposal UK contributes to soil contamination, groundwater pollution, and the release of toxic gases. Landfilling or incinerating electronic garbage is a barbaric relic of the past, incompatible with the demands of a climate-conscious future.

The solution lies in reimagining the disposal process — not as an end, but as a transformation. Devices should not be discarded but dismantled. Components ought not to be wasted, but harvested and repurposed. This regenerative philosophy must guide every facet of data center disposal.

Sustainable Decommissioning: A Paradigm of Circularity

Sustainability is not just about waste reduction; it is about perpetuity. The green way to tackle data center disposal hinges on the adoption of circular economy practices. These include the refurbishment, resale, and material recovery of obsolete hardware. Each component extracted and reintroduced into the supply chain displaces the need for virgin resource extraction — a critical intervention in curbing ecological degradation.

Professional firms specializing in data center disposal deploy methodologies that encompass secure data erasure, equipment auditing, transportation logistics, and environmentally certified recycling. Beyond compliance, they deliver a strategic advantage: cost recovery, data security, and brand elevation through demonstrated environmental stewardship.

The application of secure data destruction — via degaussing, shredding, or certified erasure — is vital. Data-bearing assets represent a latent risk. Mishandled, they can lead to breaches, legal consequences, and reputational damage. Certified disposal partners ensure that every asset is cleansed of data prior to material reclamation, safeguarding both the enterprise and the environment.

Urban Reclamation: Repurposing Through Mobile and Consumer Recycling

While data centers dominate the industrial e-waste conversation, the tide of consumer electronics should not be ignored. Urban populations continually cycle through smartphones, laptops, and tablets, contributing heavily to the growing heap of electronic garbage. Initiatives such as Mobile Phone Recycling London are emblematic of the microcosmic battle against e-waste, reclaiming valuable metals like gold, palladium, and rare earths from otherwise discarded devices.

These consumer-driven programs serve a dual purpose: they reduce waste and democratize the circular economy. When individuals participate in environmentally responsible recycling, the cumulative effect is profound. A single mobile phone may seem inconsequential, but multiplied by the millions of units disposed of annually, the environmental impact becomes colossal.

The Hidden Cost of Electronic Garbage Disposal

Disposing of electronic garbage is a complex, high-stakes process. It requires not only logistical coordination but ethical foresight. Devices may contain confidential data, personal identifiers, and sensitive intellectual property. Entrusting this process to unvetted handlers risks both legal repercussions and environmental devastation.

Proper electronic garbage disposal integrates tracking, reporting, and full-chain accountability. From collection and transport to final material recovery, each step must be documented and auditable. Certified recycling facilities ensure that nothing is illegally exported or improperly treated. In doing so, they uphold both legal compliance and ecological integrity.

Yet even with regulations in place, illegal dumping persists — often in developing nations ill-equipped to handle toxic waste. Ethical disposal demands not just action, but vigilance. Enterprises must scrutinize their disposal partners, verifying certifications such as WEEE compliance, ISO accreditation, and environmental health standards.

Legislation and Responsibility: The Regulatory Landscape

Environmental legislation continues to evolve, placing increasing obligations on businesses to ensure the responsible disposal of electronic assets. In the UK, the WEEE Directive mandates the recycling and recovery of electrical and electronic equipment, while GDPR enforces stringent data protection standards. These dual pressures compel businesses to treat data center disposal as a compliance-critical operation.

Failure to comply results not only in hefty fines but in reputational harm. Companies seen flouting disposal responsibilities may suffer consumer backlash and diminished brand trust. Conversely, those that align with green disposal initiatives position themselves as leaders in environmental innovation.

A Future-Oriented Ethos

Technological advancement is inevitable, but progress must not come at the cost of the planet. As the volume and velocity of electronic waste escalate, the green way to tackle data center disposal becomes the linchpin of sustainable IT infrastructure. It is a confluence of ecological mindfulness, technical precision, and corporate foresight.

Visionary enterprises will not view disposal as a backend necessity, but as a strategic, future-oriented process. They will invest in partnerships with responsible recyclers, integrate circular principles into procurement strategies, and educate internal stakeholders about the environmental ramifications of their digital footprint.

Towards Zero-Waste IT Ecosystems

Ultimately, the goal is zero waste — not merely in aspiration, but in practice. This involves designing hardware for disassembly, extending lifecycle utility, and eliminating the concept of “disposal” altogether. Every server, switch, or smartphone must be seen as a resource continuum — a composite of recoverable value, not a disposable artifact.

By adopting a green approach to data center disposal, businesses contribute to a broader ecological narrative. They become stewards of sustainability, agents of technological renewal, and exemplars of ethical enterprise. The journey begins with awareness, matures through action, and culminates in a resilient, regenerative future.

To ignore this responsibility is to invite obsolescence not only in hardware, but in purpose. But to embrace it — fully, consciously, and creatively — is to future-proof both business and biosphere.

Source URL - https://medium.com/@fixedassetdisposal11/the-green-way-to-tackle-data-center-disposal-a29bec231621

[visionaryvogues03]

John C. May: Steering John Deere into a Future of Smart Industrial Leadership

In the world of smart manufacturing and industrial innovation, few names resonate with the same weight as John C. May, Chairman and CEO of John Deere. With nearly three decades of experience in one of the most iconic American companies, May exemplifies a rare combination of visionary leadership, operational excellence, and a relentless commitment to digital transformation.

John Deere’s reputation as a global leader in agricultural and construction machinery is well known. But under the stewardship of John C. May, the brand has been infused with fresh energy, transitioning from a traditional equipment manufacturer into a dynamic technology enterprise rooted in smart industrial solutions. For CEOs, startup founders, and MNC managers looking to understand the future of the industrial sector, May’s journey offers profound lessons in business strategy, resilience, and innovation.

Early Days and Rise Through the Ranks

John C. May joined Deere & Company in 1997. With a background in finance and systems operations, he brought an analytical rigor that quickly earned him key leadership positions. Over the years, May held multiple roles across different segments of the company, from managing global platforms in Asia and Latin America to spearheading the integration of digital solutions into core machinery.

By the time he was named CEO in 2019, May had already left a considerable mark on the company’s modernization roadmap. He was instrumental in building John Deere’s precision agriculture ecosystem, which has since become a defining feature of the company’s product offerings and value proposition.

Visionary Leadership in the Digital Age

[Source - Forbes]

May’s leadership philosophy is rooted in a simple yet powerful premise: if John Deere is to remain relevant, it must lead, not follow, in the era of smart manufacturing. One of his first initiatives as CEO was to scale the company’s digital backbone, integrating artificial intelligence, cloud computing, and telematics into everyday operations.

He championed the idea that John Deere equipment should no longer be seen as just hardware, but as smart machines embedded within a larger data ecosystem. This repositioning has transformed how the company develops, markets, and supports its equipment worldwide.

Navigating Crisis with Strategic Clarity

Every great business leader is tested by adversity, and May’s tenure coincided with unprecedented global disruptions. From the COVID-19 pandemic to supply chain bottlenecks and geopolitical tensions, May has had to navigate rough waters. Yet, his strategic clarity and calm demeanor allowed John Deere not only to survive but thrive.

During the height of the pandemic, John Deere accelerated its remote diagnostics services, contactless equipment delivery, and virtual training systems. Under May’s direction, the company kept its factories running while prioritizing employee safety, resulting in minimal operational downtime and sustained revenue performance.

Building a Culture of Innovation

While many leaders talk about innovation, John C. May institutionalized it. He restructured internal teams to align around digital-first priorities and pushed for faster go-to-market cycles. He championed cross-functional collaboration, ensuring that R&D, engineering, and business development worked as a unified force.

Under May’s guidance, John Deere has significantly expanded its investment in emerging technologies. From acquiring cutting-edge AI firms like Blue River Technology to partnering with robotics startups, the company is actively shaping the next frontier of industrial equipment.

Emphasis on Customer-Centricity

[Source - Deere & Company - John Deere]

A core component of May’s success has been his emphasis on putting the customer at the center of every decision. Recognizing that farmers, contractors, and forestry operators are under increasing pressure to produce more with fewer resources, May ensured that John Deere’s innovations address real-world pain points.

With digital platforms like the John Deere Operations Center, customers can now visualize their entire fleet, monitor crop performance, and receive data-driven insights to boost productivity. These tools go beyond utility; they form the core of a new kind of customer relationship built on intelligence and empowerment.

Commitment to Sustainability

In an era where ESG (Environmental, Social, and Governance) metrics matter more than ever, John C. May has positioned John Deere as a responsible and forward-looking enterprise. The company has committed to reducing greenhouse gas emissions, improving fuel efficiency, and supporting sustainable land use practices.

Deere’s electric and hybrid equipment initiatives, coupled with its support for regenerative agriculture, underscore a broader shift toward sustainable smart manufacturing. May has repeatedly stated that profitability and environmental responsibility are not mutually exclusive; they are deeply interconnected.

Strategic Global Expansion

May’s global outlook has also played a crucial role in John Deere’s success story. By strengthening the company’s footprint in emerging markets and adapting products for local needs, Deere has grown its international revenue base.

From Asia-Pacific to Latin America, the company’s smart manufacturing equipment is now used across a wide range of environmental and economic contexts. This globalization is both a growth strategy and a diversification buffer, allowing John Deere to hedge against regional slowdowns while capturing new demand.

Talent Development and Inclusive Leadership

A key part of May’s legacy is his belief in nurturing talent. He has invested in leadership development, diversity and inclusion, and STEM education pipelines. Under his leadership, John Deere has improved employee engagement scores and earned recognition as a top employer in the smart manufacturing sector.

This focus on people is central to enabling smart manufacturing at scale. As automation and AI redefine industrial roles, May’s emphasis on workforce retraining ensures that the human side of the equation is not neglected.

Financial Performance and Market Trust

Under May’s leadership, John Deere has delivered robust financial performance. The company’s revenue crossed $60 billion in 2023, with consistent year-over-year growth driven by strong demand for its smart manufacturing equipment solutions. 

At a time when industrial firms face margin compression and capital volatility, May’s approach to operational efficiency and tech-driven differentiation offers a compelling blueprint for sustainable growth.

Looking Ahead: The Future of Smart Manufacturing Industry

[Source - RCR Wireless News]

John C. May is not just managing John Deere, he’s actively reshaping the future of the industrial sector. As technologies like IoT, machine learning, and blockchain converge, May is preparing John Deere to lead in the next wave of industrial innovation.

The company’s investment in autonomy, connectivity, and real-time analytics reflects a deep commitment to staying ahead of the curve. With pilot projects in smart factories, cloud-integrated supply chains, and next-gen data platforms, John Deere is fast becoming a benchmark for industrial transformation.

This next chapter will undoubtedly be anchored in smart manufacturing, a concept that has become synonymous with John C. May’s leadership philosophy.

Conclusion

John C. May’s rise to the helm of John Deere is not just a success story, it is a blueprint for 21st-century leadership. His ability to blend tradition with transformation, strategy with empathy, and innovation with operational excellence sets him apart as one of the most influential business leaders of our time.

For startup founders, CEOs, and corporate leaders seeking inspiration, May’s journey offers a masterclass in aligning purpose with performance. Through his visionary embrace of smart manufacturing, John C. May has not only secured John Deere’s future, but he has elevated the entire industrial landscape.

Uncover the latest trends and insights with our articles on Visionary Vogues

[webdeveloperssolutions]

Is Python or C++ Better for Web Development?

When it comes to web development, choosing the right programming language is crucial for the success and efficiency of your project. Two prominent languages in the programming world are Python and C++. While both have their strengths, they serve different purposes and are suited for different aspects of software development. This article delves into the comparison between Python and C++ in the context of web development, highlighting their advantages, disadvantages, and suitability for building modern web applications.​

Python: The Go-To Language for Web Development

Python has emerged as a popular choice for web development due to its simplicity, readability, and vast ecosystem of libraries and frameworks. Its design philosophy emphasizes code readability and developer productivity, making it an ideal language for rapid application development.​

Advantages of Using Python for Web Development

Ease of Learning and Use: Python's straightforward syntax allows developers to write clean and maintainable code, reducing the learning curve for beginners and accelerating development for experienced programmers.​

Rich Ecosystem: Python boasts a plethora of frameworks and libraries tailored for web development. Notably, Django and Flask are two widely-used frameworks that simplify the process of building robust web applications. Django, for instance, follows the "batteries-included" philosophy, providing built-in features like authentication, ORM, and admin interfaces, which expedite development and reduce the need for third-party tools.​

Community Support: A large and active community means abundant resources, tutorials, and forums are available, facilitating problem-solving and knowledge sharing among developers.​

Versatility: Python is not limited to web development; it's also extensively used in data science, machine learning, automation, and more. This versatility allows developers to integrate various functionalities into their web applications seamlessly.​

Cross-Platform Compatibility: Python applications can run on various operating systems without significant modifications, ensuring broader reach and flexibility in deployment.​

C++: A Powerful Language with Limited Web Development Use

C++ is renowned for its performance and control over system resources, making it a preferred choice for system programming, game development, and applications requiring high-performance computing. However, its application in web development is relatively limited.​

Advantages of Using C++ for Web Development

High Performance: C++ offers unparalleled performance due to its close-to-hardware operations and efficient memory management, which can be beneficial for performance-critical components of web applications.​

Fine-Grained Control: Developers have precise control over system resources, enabling optimization at a granular level, which is advantageous for specific backend services or modules requiring intensive computation.​

Disadvantages of Using C++ for Web Development

Complexity: C++ has a steep learning curve with complex syntax and concepts like pointers and manual memory management, which can slow down development and increase the likelihood of bugs.​

Lack of Web Frameworks: Unlike Python, C++ lacks mature and widely-adopted web development frameworks, making the development process more cumbersome and time-consuming.​

Longer Development Time: The intricacies of C++ can lead to longer development cycles, which is a significant drawback in the fast-paced web development landscape where time-to-market is critical.​

Limited Community Support for Web Development: While C++ has a strong community in systems programming, its web development community is relatively small, leading to fewer resources and support for web-specific challenges.​

Comparative Analysis: Python vs. C++ in Web Development

FeaturePythonC++Ease of LearningHighLowDevelopment SpeedFastSlowWeb FrameworksDjango, FlaskLimitedPerformanceModerateHighCommunity SupportExtensiveLimited for web developmentSuitability for Web AppsHighly SuitableLess Suitable

From the comparison, it's evident that Python offers a more conducive environment for web development, especially for projects that require rapid development, scalability, and maintainability.​

Real-World Applications and Case Studies

Many renowned platforms and services have leveraged Python for their web development needs. For instance, Django has been instrumental in building complex, database-driven websites efficiently. Its emphasis on reusability and "pluggability" of components aligns well with the dynamic requirements of modern web applications.​de.wikipedia.org+4en.wikipedia.org+4wired.com+4

In regions like Uttar Pradesh, businesses seeking Custom Website Development in Uttar Pradesh can benefit from Python's capabilities. Its adaptability ensures that developers can tailor solutions to meet specific business needs, whether it's an e-commerce platform, a content management system, or a data-driven application.​

Conclusion: Python Emerges as the Preferred Choice

While C++ remains a powerful language in its domain, its application in web development is limited due to its complexity and lack of specialized tools. Python, on the other hand, offers a balanced mix of simplicity, efficiency, and versatility, making it the preferred choice for web developers.​

For businesses and developers aiming for efficient and scalable web solutions, especially those considering Custom Website Development in Uttar Pradesh, Python provides the tools and community support necessary to bring their visions to life effectively.

[hybrizedesign]

Hybridize Design: The Future of Modern Aesthetic and Functionality

In today’s world, where technology and art intersect seamlessly, the concept of hybridized design has become a powerful force driving innovation across various industries. Hybrize design refers to the merging of two or more distinct design philosophies, materials, or technologies to create something that is both functional and visually appealing. This multidisciplinary approach has become especially significant in fields like architecture, product design, and digital media, where the blending of the old and new can produce groundbreaking results.

The Evolution of Hybridized Design

Hybridized design has its roots in the increasing demand for solutions that are both sustainable and efficient. As environmental concerns grow, designers are looking for ways to merge aesthetics with eco-consciousness. The fusion of traditional craftsmanship with modern techniques, such as digital fabrication, is reshaping industries, enabling the creation of products that balance beauty and practicality.

For example, in architecture, hybridized design often manifests in the combination of organic, nature-inspired forms with high-tech materials like carbon fiber, glass, and aluminum. The use of natural elements such as wood or stone alongside cutting-edge, sustainable technologies allows buildings to not only stand out aesthetically but also minimize their environmental footprint.

The Role of Technology in Hybridized Design

Technology plays a crucial role in hybridized design, particularly when it comes to the use of smart technologies, artificial intelligence (AI), and 3D printing. These innovations allow designers to push boundaries, offering customization and personalization like never before. One notable example is the automotive industry, where hybridized design principles are evident in electric and autonomous vehicles. Here, designers fuse traditional mechanical engineering with new energy-efficient technologies to create vehicles that are both functional and visually stunning, catering to an eco-conscious market.

Additionally, hybridized design is becoming more prevalent in the tech world, where the integration of hardware and software is key to providing users with seamless, intuitive experiences. Devices such as smartphones, wearables, and smart home systems blend ergonomic design with advanced AI capabilities, enabling a more connected and convenient lifestyle.

Sustainability and Hybridized Design

As the global shift toward sustainability accelerates, hybridized design has taken on a new importance. Designers are increasingly turning to eco-friendly materials, renewable resources, and energy-efficient solutions. By hybridizing natural materials with advanced, sustainable technologies, designers can create products that not only look impressive but also contribute positively to environmental conservation.

For instance, hybridized design can be seen in the development of biodegradable packaging that combines traditional paper products with cutting-edge, sustainable coatings that ensure durability and environmental friendliness. This combination addresses both the aesthetic needs of the product and the growing demand for eco-conscious solutions.

The Future of Hybridized Design

Looking ahead, the potential of hybridized design seems limitless. As technology continues to evolve, designers will have access to new tools and materials that allow them to create even more innovative and integrated solutions. The blending of diverse design principles, sustainability efforts, and cutting-edge technologies will continue to shape our future, ensuring that form and function work in perfect harmony.

In conclusion, hybrid design services calgary is more than just a trend; it represents the future of innovation and sustainability. By combining different design elements from various disciplines, industries can produce products that are not only functional but also beautiful, environmentally responsible, and deeply connected to the needs of modern society. As the world evolves, hybridized design will be at the forefront of creating solutions that reflect our changing values and technological advancements.

[govindhtech]

TorchDynamo Method For Improving PyTorch Code Performance

Introduction of Using TorchDynamo to Write PyTorch Programs Faster. Presenters Yuning Qiu and Zaili Wang discuss the new computational graph capture capabilities in PyTorch 2.0 in their webinar, Introduction to Getting Faster PyTorch Programs with TorchDynamo.

TorchDynamo is designed to keep flexibility and usability while speeding up PyTorch scripts with little to no code modifications. It’s important to note that while TorchDynamo was originally used to describe the whole functionality, it is now known by its API name “torch.compile” in the most recent PyTorch documentation. This nomenclature is also used in this lesson.

Principles of Design and Motivation

PyTorch functions mostly in a “imperative mode” (sometimes called eager mode), which is why data scientists and academics have embraced it so enthusiastically due to its Pythonic philosophy and simplicity of use. This mode makes debugging simple and flexible by executing user code step-by-step. For large-scale model deployment, however, imperative execution may not be the best option.

In these cases, performance improvements are often obtained by assembling the model into an efficient computational network. Although they provide graph compilation, traditional PyTorch techniques like FX and TorchScript (JIT) have a number of drawbacks, especially when it comes to managing control flow and backward graph optimization. TorchDynamo was created to solve these issues by offering a more smooth graph capture procedure while maintaining PyTorch’s natural flexibility.

Torch Dynamo: Synopsis and Essential Elements

TorchDynamo works by tying into the frame evaluation process of Python, which is made possible by PEP 523, and examining Python bytecode while it is running. This enables it to execute in eager mode and dynamically capture computational graphs. PyTorch code must be converted by TorchDynamo into an intermediate representation (IR) so that a backend compiler like TorchInductor may optimize it. It functions with a number of important technologies:

AOTAutograd: Enhances training and inference performance by concurrently tracing forward and backward computational graphs in advance. These graphs are divided into manageable chunks by AOTAutograd so that they may be assembled into effective machine code.

PrimTorch: Reduces the original PyTorch operations to a set of around 250 primitive operators, hence simplifying and reducing the number of operators that backend compilers must implement. Thus, PrimTorch improves the built PyTorch models’ extensibility and portability on many hardware platforms.

TorchInductor: The backend compiler that converts the computational graphs that are recorded into machine code that is optimized. Both CPU and GPU optimizations are supported by TorchInductor, including Intel’s contributions to CPU inductor and Triton-based GPU backend optimizations.

Contributions of Intel to TorchInductor

An important factor in improving PyTorch model performance on CPUs and GPUs has been Intel:

CPU Optimizations: For more than 94% of inference and training kernels in PyTorch models, Intel has provided vectorization utilizing the AVX2 and AVX512 instruction sets. Significant gains in performance have resulted from this; depending on the precision utilized (FP32, BF16, or INT8), speedups have ranged from 1.21x to 3.25x.

GPU Support via Triton: OpenAI’s Triton is a domain-specific language (DSL) for Python that is used to write GPU-accelerated machine learning kernels. By using SPIR-V IR to bridge the gap between Triton’s GPU dialect and Intel’s SYCL implementations, Intel has expanded Triton to accommodate their GPU architectures. Triton may be used to optimize PyTorch models on Intel GPUs because to its extensibility.

Guard Systems and Caching

In order to manage dynamic control flow and reduce the need for recompilation, TorchDynamo provides a guard mechanism. Guards monitor the objects that are referred to in every frame and make sure that the graphs that are cached are only utilized again when the calculation has not changed. A guard will recompile the graph, dividing it into subgraphs if needed, if it notices a change. In doing so, the performance overhead is reduced and the accuracy of the compiled graph is guaranteed.

Adaptable Forms and Scalability

Support for dynamic forms is one of TorchDynamo’s primary features. TorchDynamo is capable of handling dynamic input shapes without the need for recompilation, in contrast to earlier graph-compiling techniques that often had trouble with input-dependent control flow or shape fluctuations. This greatly increases PyTorch models’ scalability and adaptability, enabling them to better adjust to changing workloads.

Examples and Use Cases

During the webinar, a number of real-world use cases were shown to show how useful TorchDynamo and TorchInductor are. For example, when optimized with TorchDynamo and TorchInductor, ResNet50 models trained on Intel CPUs using the Intel Extension for PyTorch (IPEX) demonstrated significant increases in performance. Furthermore, comparable performance advantages for models deployed on Intel GPU architectures are promised by Intel’s current efforts to expand Triton for Intel GPUs.

In summary

TorchDynamo and related technologies provide a major step forward in PyTorch’s capacity to effectively aggregate and optimize machine learning models. Compared to older methods like TorchScript and FX, TorchDynamo provides a more adaptable and scalable solution by integrating with Python’s runtime with ease and enabling dynamic shapes.

The contributions from Intel, especially in terms of maximizing performance for both CPUs and GPUs, greatly expand this new framework’s possibilities. As they continue to be developed, researchers and engineers who want to implement high-performance PyTorch models in real-world settings will find that TorchDynamo and TorchInductor are indispensable resources.

Read more on Govindhtech.com

[avocodedigital]

Jony Ive's AI Vision - Beyond iPhone

Join the newsletter: https://avocode.digital/newsletter/

Introduction: Redefining Innovation with AI

Jony Ive, the visionary behind Apple's most iconic designs, is setting his sights on a new frontier - artificial intelligence. As the co-architect of the iPhone, Ive has already left an indelible mark on the tech world. But now, he's poised to redefine what we know about AI, pushing the boundaries far beyond the smartphone. This blog post delves into Jony Ive's AI vision and how it promises to transform the landscape of technology design.

The Transition: From iPhone to AI

When Jony Ive stepped down from his role as Chief Design Officer at Apple in 2019, the tech community was abuzz with speculation. What would one of the most influential designers of our time do next? The answer came as a fusion of his passion for design and cutting-edge technology: artificial intelligence.

Why AI?

AI is the next big thing. It’s not just a technological trend; it’s a paradigm shift that has the potential to change how we interact with the world. From smart home devices to self-driving cars, AI is weaving its way into the fabric of everyday life. But what sets Jony Ive’s approach apart?

Holistic Design: Ive has always been a proponent of seamless integration between hardware and software. His vision for AI revolves around creating intuitive, human-centered designs that make technology more accessible and less intrusive.

Minimalism Meets Functionality: Drawing from Apple’s ethos of minimalist design, Ive aims to strike a balance between simplicity and advanced functionality in AI applications.

Ive’s Philosophy Applied to AI

For Jony Ive, design is not just about aesthetics; it’s about enhancing the human experience. This philosophy is at the core of his AI vision. He believes that artificial intelligence should be a natural extension of human capability, not a complex, opaque force that only experts can understand.

User-Centric Design: Ive’s AI projects will focus on creating intuitive user interfaces that require minimal learning curve.

Ethical AI: Transparency and ethical considerations will be paramount, ensuring that the technology is not just smart but responsible.

Key Projects: A Glimpse into the Future

While specific details of Jony Ive’s AI initiatives are still under wraps, there are several key areas that industry insiders are speculating on. Here are a few potential projects that align with his design ethos:

Smart Home Ecosystem

Imagine a smart home ecosystem where every device not only works seamlessly together but also intuitively understands your needs. From adjusting lighting based on your mood to managing energy consumption, Jony Ive’s design principles could bring a new level of intelligence and elegance to smart homes.

Integrated Interfaces: Unified control systems that eliminate the need for multiple apps and interfaces.

Contextual Awareness: Devices that adapt to the user’s habits and preferences, providing a personalized experience.

Healthcare Innovation

Another area ripe for transformation is healthcare. By integrating AI with human-centered design, Ive could revolutionize how we monitor and manage our health.

Wearable Tech: Advanced wearables that not only track vital signs but also provide actionable insights in a user-friendly manner.

Remote Diagnostics: AI-driven diagnostic tools that can perform complex analyses, making healthcare more accessible and efficient.

Autonomous Vehicles

The automobile industry is on the brink of an AI-driven revolution, and Jony Ive’s expertise could accelerate this transformation.

Human-Machine Interface: Intuitive interfaces for self-driving cars that enhance safety and user experience.

Design and Usability: Sleek, minimalist interiors that prioritize comfort and functionality.

Challenges and Opportunities

Like any pioneering endeavor, Ive’s foray into AI is not without its challenges. However, his track record of overcoming obstacles and setting new standards in design suggests that he's well-equipped to navigate these hurdles.

Ethical and Privacy Concerns

AI technologies raise significant ethical and privacy concerns. From data security to algorithmic bias, these issues must be addressed to ensure public trust.

Transparency: Jony Ive’s focus on ethical AI will likely include transparent algorithms and data usage policies.

Inclusivity: Designing AI systems that are inclusive and unbiased, catering to diverse user needs.

Technical Complexity

Integrating advanced AI with intuitive design is no small feat. The technical complexity involved can be daunting.

Interdisciplinary Collaboration: Ive will need to collaborate with AI experts, engineers, and ethicists to create holistic solutions.

Continuous Learning: Emphasizing adaptive systems that evolve with user feedback and technological advancements.

The Future Is Now

Jony Ive’s shift from iPhone design to AI innovation marks a significant milestone in the tech industry. His vision promises to not only advance the state of artificial intelligence but also redefine how we experience technology. The transition from the tactile world of iPhones to the intangible realm of AI is a bold move, yet it aligns perfectly with Ive’s lifelong mission: to make technology more human, more intuitive, and more beautiful. As we stand on the cusp of this new era, one thing is clear: the future of AI will be enriched by Jony Ive’s unparalleled design wisdom. So, what does this mean for us? A future where technology is not just smart, but also seamlessly integrated into our lives, enhancing our experiences in ways we've yet to imagine. Jony Ive’s AI vision is not just about creating advanced systems; it's about creating smarter, more empathetic, and ultimately more human-centric technology. Stay tuned as we continue to follow Jony Ive's journey beyond the iPhone and into the expansive world of AI. #### Conclusion: A New Horizon in Tech Innovation In conclusion, Jony Ive's transition from iPhone mastermind to AI trailblazer is a testament to his relentless pursuit of perfection and human-centered design. As he embarks on this new venture, we can expect groundbreaking innovations that will redefine our interaction with technology. Whether it's in smart homes, healthcare, or autonomous vehicles, Jony Ive's AI vision promises to make the future not just smarter, but also more intuitive and beautifully designed. Want more? Join the newsletter: https://avocode.digital/newsletter/

[luanviko]

Multi-pulse Waveform Processing

One the most amazing experiences of my PhD project was to develop and employ a particle detector for a particle accelerator at CERN. 

This work also involved a quite deal of data preprocessing and analysis, so to determine the efficiency of the detector. It is a great example of how creative data analysis can overcome limitations from the hardware design and improve detection efficiency by up to 40%!

One of my main design philosophy was to build a detector that was as cheap as possible, from salvaged equipment in the laboratory. To overcome limitations from old components, I developed an algorithm to find the timing of the particles using a constant-fractional discrimination technique. This algorithm finds the timing from the rise time of pulse, overcoming artificial increase in particle timing from large pulses. 

One of the great advantages of my algorithm is its speed. While some will fit a special function to the entire pulse in the waveform, my algorithm takes advantage of the rise time being linear to fit a straight line to it. 

My algorithm not only improved the timing measurements by 40%, as it was so efficient that it could be incorporated to the on-the-fly analysis, to maximize the quality of the data being acquired. Every spill in a beam line is precious, so we must ensure the quality of the data is maximal!

Later, the algorithm was adapted to extract the timing information for several pulses on a waveform, not only one. 

[luan-koerich-phd]

Multi-pulse Waveform Analysis

One the most amazing experiences of my PhD project was to develop and employ a particle detector for a particle accelerator at CERN.

This work also involved a quite deal of data preprocessing and analysis, so to determine the efficiency of the detector. It is a great example of how creative data analysis can overcome limitations from the hardware design and improve detection efficiency by up to 40%!

One of my main design philosophy was to build a detector that was as cheap as possible, from salvaged equipment in the laboratory. To overcome limitations from old components, I developed an algorithm to find the timing of the particles using a constant-fractional discrimination technique. This algorithm finds the timing from the rise time of pulse, overcoming artificial increase in particle timing from large pulses.

One of the great advantages of my algorithm is its speed. While some will fit a special function to the entire pulse in the waveform, my algorithm takes advantage of the rise time being linear to fit a straight line to it.

My algorithm not only improved the timing measurements by 40%, as it was so efficient that it could be incorporated to the on-the-fly analysis, to maximize the quality of the data being acquired. Every spill in a beam line is precious, so we must ensure the quality of the data is maximal!

Later, the algorithm was adapted to extract the timing information for several pulses on a waveform, not only one.

[tech-insides]

Key DevOps Concepts

DevOps, a blend of "Development" and "Operations," is a set of practices, tools, and a cultural philosophy aimed at integrating and automating the processes between software development and IT teams. This approach emphasizes collaboration, communication, and continuous improvement. Below are some of the key concepts that form the foundation of DevOps.

1. Continuous Integration and Continuous Deployment (CI/CD)

CI/CD is the backbone of DevOps, focusing on automating the software development process. Continuous Integration (CI) involves developers frequently integrating their code into a shared repository, allowing for automated testing and early detection of issues. Continuous Deployment (CD) automates the release of validated code to production, ensuring faster and more reliable software delivery.

2. Infrastructure as Code (IaC)

Infrastructure as Code is the practice of managing and provisioning computing infrastructure through machine-readable definition files, rather than through physical hardware configuration or interactive configuration tools. This approach allows for more consistent and repeatable infrastructure management, reducing errors and improving efficiency.

3. Microservices Architecture

Microservices architecture involves designing applications as a collection of loosely coupled, independently deployable services. This modular approach enhances scalability and allows teams to develop, deploy, and scale individual services independently, promoting agility and reducing the risk of systemic failures.

4. Monitoring and Logging

Effective monitoring and logging are critical in a DevOps environment. Monitoring involves tracking system performance and health in real-time to detect issues early. Logging captures detailed information about system events, enabling teams to diagnose and troubleshoot problems efficiently. Together, these practices ensure high availability and reliability of applications.

5. Collaboration and Communication

DevOps emphasizes a culture of collaboration and communication between development, operations, and other stakeholders. Tools like Slack, Jira, and Confluence facilitate seamless communication, while practices like regular stand-up meetings and retrospectives ensure continuous feedback and improvement.

6. Automated Testing

Automated testing is crucial for maintaining code quality and accelerating the development process. It involves using tools to run tests on the codebase automatically, ensuring that new changes do not introduce bugs or regressions. This practice enables rapid and reliable delivery of high-quality software.

7. Security Integration (DevSecOps)

Security should be integrated into every phase of the DevOps lifecycle. DevSecOps extends the DevOps practices to include security considerations, ensuring that security is a shared responsibility across the development and operations teams. This approach involves automated security testing, continuous monitoring, and proactive vulnerability management.

Conclusion

Understanding and implementing these key DevOps concepts can significantly enhance the efficiency, reliability, and quality of software development and delivery. For those looking to deepen their knowledge and skills in DevOps, Interview Kickstart's Site Reliability Interview Preparation Course provides comprehensive training and hands-on experience. Additionally, our DevOps interview Questions and Answers offers valuable insights and tips to help you succeed in your career.

[tsasocial]

ITCPE 2024: Digital textile printing machine exhibitors preview

According to a report released by IDC, in the third quarter of 2023, the revenue of China’s digital textile printing machine market exceeded 66 million US dollars, an increase of 17.2% year-on-year. This significant growth indicates a positive growth trend in the demand for digital printing equipment.

ITCPE: Guangzhou International Textile, Clothing and Printing Industry Expo

As technology continues to advance, digital printing equipment is set to offer images of higher resolution and a richer color palette, resulting in more detailed and lifelike printed products. The Guangzhou International Textile, Clothing, and Printing Industry Expo (ITCPE), taking place at the Poly World Trade Expo in Pazhou, Guangzhou from May 20-22 this year, will host numerous high-quality companies specializing in digital printing equipment. These companies will showcase the latest processes and technologies. Let’s anticipate their contributions together.

Part of the digital textile printing machine providers in ITCPE 2024

The exhibitors are arranged in no particular order.

Guangzhou Zhenfeng Digital Technology Co., Ltd — Booth: T002

Adhering to the business tenet of "honest operation and professional service", the company strives for survival with quality and development with credibility, and protects customers in production and operation. The company respects talents, advocates technology, and has a young team that keeps pace with the times and blazes new trails!

Look forward to working with you! Create resplendence together!

HOPETECH DIGITAL CO., LTD — Booth： T003

HOPETECH DIGITAL CO., LTD (HOPETECH for short) is a high-tech company which integrates development, manufacture, sales, and service. Since the company was founded, HOPE people have established a long-term developing strategy of building up a world-top brand in the industry. From the principle design of equipment to the landing of technical solutions, and then to the selection of spare parts, the company has always been adhering to “Hope lies in quality, to create value for customer” business philosophy and quality-oriented standard.

As a pioneer in large-scale industrial digital printer application, HOPE started business from the research and development of electronics hardware and software. After more than 20 years of unremitting efforts and development, we have provided thousands of high-speed industrial digital printers to the market. Besides China, our customers cover many countries and regions such as India, Malaysia, Indonesia, Vietnam, Pakistan, Egypt, Iran, Turkey, etc. We have accumulated rich experience in digital printing application.

We dedicate to apply new industrial digital printing technology into textile industry, and have promoted a variety of specifications of multi-pass & single-pass textile digital printers, which can meet needs of different production process and productivity. Today, the HOPE people, who take quality, service, and innovation as principles of development, will spare no efforts to meet new challenges, create a brighter future of HOPE, provide fresh new digital printing experience to the customers and accelerate the digitalization of textile industry.

SKY AIR-SHIP DIGITAL PRINTING EQUIPMENT CO.,LTD — Booth：T017

Wuhan Yili Electronic Co., Ltd — Booth：T011

The Headquarters has more than 350 employees, Manufacture and sell over 30000 sets electronic systems to digital inkjet market. XENONS lanuch at least 2 new products to the market every year. Continoue to provide better solutions.

In 2016, Xenons. group split its production line to different sub-brands: Xenons, Yilijet, PDJET, Coltex, Veedo etc. aim a better improvement.

Xenons Europe, Xenons Brasil, Xenons India.. more and more branches are running there for a better service.

Zhejiang Boyin Digital Technology Co., Ltd. — Booth：T3003a

Guangdong Baocai intelligent Technology Co., Ltd — Booth：T007

Over the years, Guangdong PO-TRY has continuously absorbed advanced digital printing technologies at home and abroad, and has joined hands with South China University of Technology to build an industry, academic and research incubation base for digital printing technology. Through continuous innovation and development, the "PO-TRY" brand has always been in the forefront of the industry. At the forefront of the digital printing market.

The main products include thermal transfer printers, tape direct-injection printers, heat transfer printers, leather mesh belt printers, UV crystal label printers, and supporting printing consumables. It is widely used in digital printing in textile and clothing, home textiles and home furnishings, label printing, shoes, hats and bags, 3C electronics and other industries, such as polyester fabric thermal transfer printing, cotton and linen fabric direct printing, T-shirt and other garment direct printing, home textile printing, leather Printing, crystal label printing, 3C electronic product printing, etc. The products are exported to domestic and foreign markets, covering more than 100 countries and regions in North America, Europe, the Middle East, and Southeast Asia.

Baocai promptly provides customers with high-quality digital printing equipment and mature application solutions that are environmentally friendly, efficient, and worry-free after-sales. It not only provides customers with professional consultation and comprehensive technical support, but also provides more business opportunities for enterprises and individuals. and broad industry development space. While business is developing, in line with the purpose of "integrity, mutual benefit, and win-win", we always provide customers with "high-quality, low-cost" solutions. As the company's foothold and development direction, we continue to create value for customers.

The company actively responds to the national "double carbon" policy of green environmental protection, energy conservation and emission reduction, and strives to continuously innovate through technological iterations and updates, helping traditional enterprises such as textiles and clothing, home textiles and home furnishings to transform into digitalization and intelligence, and promote the high-quality development of the printing industry.

Nanjing ORIC Digital Technology Co., Ltd. — Booth：T010

As always, our company has won the praise and support of new and old customers with the purpose of good quality, reasonable price and good reputation. With advanced technology, excellent quality, good reputation and high-quality service, we have established a stable supply relationship with many merchants, which is well received by the majority of customers. ORIC is committed to promoting the printing industry towards a greener, more energy efficient and more futuristic direction.

Shanghai Hexuan Industrial Co., Ltd. — Booth：T3003b

OUR MISSION

Our business is built to address present issues while expanding new applications in the digital print industry. Thus, our primary objective is to deliver innovative large-format printer solutions with sustainable profitability for our clients.

OUR VISION

As a technology-driven company, our vision is to be at the leading edge of cultivating the latest developments in the world of industrial printing evolution. With the customer at the forefront of our efforts, we aspire to launch lasting trends that will lead the print industry forward.

OUR BRAND PROMISE

1.SUSTAINABLE SOLUTIONS -- Advancing Innovative Research

EXPERT SERVICE -- Customer Satisfaction

EFFECTIVENESS &EFFICIENCY--The Expert Touch

Guangzhou Xin Flying Digital Technology Co., Ltd. — Booth：T019

DTF is the latest popular digital printing process in recent years. The main process flow in this period is printing - shaking powder - drying - pressing. Compared with traditional DTG, DTF does not require spraying of pretreatment liquid and reduces the pretreatment link. Compared with screen printing, printing does not require many complicated steps such as plate making and film production. The DTF method can not only break through the limitations of DTG and heat transfer printing, but can also be widely used, such as: it can be applied to pure cotton, polyester fiber, wool, nylon, Lycra, cotton and linen, denim, silk and other fabrics. It can be said that DTF is the "universal printing machine" in the clothing industry.

Henan Yindu Digital Co., Ltd — Booth：T006

The company has developed from the initial thermal transfer banner machine to digital sublimation printer ,DTF printer and dozens of wide format digital inkjet printer . Our brand AUDLEY , MYCOLOR, WORLDCOLOR,HANCOLOR and YINSTAR have achieved rapid growth in market sales. Our domestic agents are located in 34 provinces and cities . The products are exported to dozens of countries and regions such as Europe, the United States, the Middle East, and Southeast Asia.

GuangDong SaHe Electronic Technology Co.,Ltd — Booth：T014

As a well-known brand in the industry, "Xinkeda" equipment manufacturing factory-Guangzhou Xiaozong Intelligent Technology Co., Ltd. authorized dealers. Always focus on the field of digital printing and dyeing, adhere to the digital front of printing, committed to be the leader in the textile digital printing and dyeing industry. The company adheres to quality, professionalism, integrity, innovation as the business philosophy, for the majority of customers to provide efficient, worry-free after-sales service and a variety of printing process applications with the times. Insist on providing high quality service to customers, grow together with customers, mutual benefit and win-win!

At the same time, SaHe is an enterprise with great development potential, young, passionate, dynamic, innovative spirit, in the digital printing industry for more than 10 years of elite team to provide a strong support for the development of the company. The company has set up the most popular thermal transfer printing, white ink (DTF) hot painting, leather printing and other departments to serve different customer groups. "I know what you need." In order to serve remote customers more efficiently and professionally, Sanhe also has offices in South China to meet the needs of customers in different regions, so as to achieve professional, timely, high-quality and efficient.

SaHe is a team worthy of the trust of customers and friends, choose us is to choose professional, quality and success!

GUANGZHOU QIYA DIGITAL TECHNOLOGY CO., LTD. — Booth：T030a

Our company has many years of practical experience in DTG white ink direct printing, coatings, reactive printing, mass production, and mature supporting solutions. Let customers avoid detours and help customers win greater business opportunities. Based on the South China market, we have successfully established long-term and stable cooperative relationships with many partners and enjoy a very high reputation among our customers. It has successfully held more than 30 trade fairs, and its equipment has been exported to more than a dozen countries and has been highly recognized by customers!

Our company has always adhered to the business purpose of "providing simple, practical, cost-effective products to customers and helping customers make profits!" We look forward to common development and win-win results with you!

Guangzhou Elephant Digital Printing CO. LTD — Booth: T023

Guangzhou Fourstar Electronic Technology Co., Ltd — Booth：T3004

As a high-precision intelligent printing overall solution service provider for fast fashion clothing and textile industry,our company provides customers with complete solutions including training and guidance in equipment operation, software design, process knowledge, color adjustment, and management process. We assist domestic and foreign customers to generate benefits quickly.

At present, our company's business has covered all parts of China and abroad. We have many agents at home and abroad, for example, the America, Australia, Philippines, Thailand, Myanmar, Malaysia, Japan, Brazil, Russia, India, Bulgaria, Italy, etc.We welcome all customers around the world to establish great business relationships and share success together.

Guangzhou Sangong Digital Technology Co., Ltd. — Booth：T3009

Sangong digital to "service first, brand, integrity management" principle to provide customers with high efficiency, cost-effective equipment and consumables solutions, the company continues to expand the scale, to service customers have developed the original design department, equipment production workshop, equipment testing workshop, digital printing processing center, sample workshop to provide customers with fast and convenient services. Set up Fujian, Shanghai, Yiwu, Keqiao, Zhili partners, established Guangzhou Sanmu Manufacturing, Shenzhen Sanong company, establish a more thorough service radius, bring high efficiency, high quality service to customers.

Sangong digital, worth your choice of business partners.

LEAF — Booth：T047b

LEAF products are renowned not only for their innovation but also for their outstanding printing quality and stable performance. The overall solutions provided by LEAF encompass advanced printing equipment, high-quality inks, printing films, hot melt powders, software, and technical support, offering customers comprehensive digital printing solutions.

During the exhibition, LEAF will conduct live demonstrations and interactive experiences at its booth, allowing attendees to firsthand experience the exceptional performance and innovation of LEAF products and solutions. Additionally, LEAF's professional team will engage in in-depth discussions and collaborations with customers and visitors, sharing insights into industry trends and technological developments, and offering the best printing solutions to customers.

Guangzhou Kuyin Digital Equipment Co., LTD — Booth：T3016

Guangzhou Juli Digital Technology Co. LTD — Booth：T013

Dongguan Youchuang Intelligent Machiney Co.,Ltd — Booth：T3038a

Our company has built a complete service system, from mold opening, machine installation and commissioning, to production technology training, raw material supply, and one-stop service.

At present, the main equipments of our company are: Automatic dripping machine, Intelligentized tunnel furnace, intelligentized oven, intelligentized silicone heat transfer label machine etc.;

The machines are sold to major cities in China, and exported to the United States, Mexico, Italy, Germany, Portugal, Poland, Ukraine, Serbia, Russia, Brazil, Peru, Australia, Algeria, Egypt, Tunisia, Morocco, Turkey, Iran, Thailand, India, Pakistan, Vietnam, Bangladesh, Indonesia, Israel and so on countries.

The company's future development direction is to create an unmanned workshop in this industry and promote the intelligent development of the industry.

Guangzhou Siheda CNC Equipment Co., Ltd. — Booth：T028

Our factory has an independent and clean production workshop, which covers an area of over 3000 square meters. Located in Guangzhou city, which is near Guangzhou and Shenzhen port, it benefits to transport for global customers.

Focus makes professional, professional makes extraordinary.

Focusing on digital printing industry, we keep up with market new trends, develop new technology and cost-effective printers, is one of the leading producers of D T F printers, U V flatbed printers, Eco solvent printers, U V inkjet printers, etc. Besides that, we also export accessories and consumables like print head, ink, which can be widely used in textiles, plastic sheet, metal plate, acrylic sheet, wood board, leather, glass, phone case, ceramic tile, etc. Adhering to the concept of making the most of a man’s talent and happy working, our development vision is to become the world-leading printing solution provider.

Make printing simpler and cost-effective is our mission.

The stable product performance and multi-functional applications not only help us to win the domestic market, but also the global clients. Our products export to all over the world such as Europe, North America, South America, Southeast Asia, the Middle East region and Africa, etc.

We sincerely welcome friends from all over the world to establish a long-term cooperate relationship.

At the exhibition site, there will be even more high-quality companies from the textile and garment industry showcasing traditional printing equipment, dyeing equipment, laser cutting, and fabric accessories. If you also want to understand the latest information and technology in the industry, then you must not miss the ITCPE!

[hydralisk98]

What is F(L)OSS about really? (Preview #1)

What is licensing, ownership and rights about?

I often describe such throughout the software domain but can easily be applied almost everywhere in society, like in hardware and culture. If I am not mistaken, it pertains to what you actually is your own, either it is home, furniture, computer hardware, software, artistic media, equipment, et cetera. Licensing is similar but has a more autonomous / shared ownership meaning applied.

And the reason why I believe that matters so much is because while the majority (of the human bell curve of demographics*) oftentimes ignore and brush off their personal agency on the wider scale of human planetary affairs, that attitude of distributing their energy & efforts towards current grand managerial bodies like big corporations and big governments is a quite short-sighted perspective and has a quite negative impact in our present day and potential future(s). It is not exclusively negative one-sided story but still, profiteers are not providing enough value for what you invest into their zone of control, monetary or otherwise... and that is very concerning considering the current global society context and the decisions made by such staff of managers & "drones".

The non-profit organization that is Creative Commons as well as my provided hyperlinks across this article should give you a decent insight into matters...

Spectrum of licensing paradigms

Copyright, the large landlords & proprietary ownership models pertain to the old Liberalism way of thinking (at least if we are to follow it under late-stage capitalism, liberalism and the philosophy of contemporary feudal US law). Not always bad and could really be better implemented as seen in the centuries prior to now.

(I mean, when things were less... structured, competitive, authoritative and rigid in the West and elsewhere, the autonomy and liberties allowed by such a paradigm of a abundance of workforce & income was nice to have and use, but not without some costs even then. Compared to now where things also have costs but as those grew for the low & middle classes and were not compensated by such rigid old models by the aging rich baby-boomers population yet, which is a shame considering all sides really could use a update / upgrade in their to persist in profits and long-term positive legacy.)

But as of today, it is so often misused and taken to extremely abusive extents as shown by the actions of major corporations going all over with massive-scale spying (look at Oracle data tracking record of like 5 billion people and growing), malevolent compliance (look at how both Apple and Microsoft comply heavily with US governmental guidelines for data collection, either by on-chip spyware or otherwise...), critical citizen censorship (like in Continental China, Russia and even the US of A as demonstrated by Edward Snowden's), corporate cooperation & corporative law-craft evils (Valve & Nintendo implicitly agreeing to shutdown Dolphin emulators on Steam, the way Microsoft-Mojang Minecraft falls apart over 1.19 update matters and how major corporations overall back each other up knowing their days are counted), vendor lock-ins, big tech oligopolies and marketshare dominions, expensive prices for very low value provided even for corporate agencies, too much managerial staff oversight control on decisions over workers, failing advertising economy, low-security bottlenecks with malware + botnets (thanks for the "infinite" loop of "security" with leaks, major failures & bulk password breakers trade market against consumers being traded against the will by black hat hackers & operatives that get paid by every irresponsible hidden or not governing bodies autonomously in lawful impunity, that unofficial though-police & cultural choices fails the potential of us all and will accelerate much the descent to further of a societal collapse that is entirely unnecessary if we are to rise to the stars on-time for the dream we were sold to in life), overstaffing & underpay (Amazon & every other mainline corporation abusing his employees for quicker short-term profit, paying very often low-as-in-slavery wages and Amazon taking full control of their employees' communication channels for drone promotion), menial purpose-less tasks and walled garden policies (looking at Apple's overpriced options being less competitive than the value and price paid for such, as well as the hopefully not soon Microsoft going onto such a exclusivity market that they alienate the best in their customer base into migrating away to non-exclusive environments like Linux), along many other situations / issues as revealed by information leaks & literal living in this global culture, both in explicit and implicit forms.

Copyleft, open source, free culture and library economy are the basics of our best bet to solve our current state of affairs, at least compared to what late-stage capitalists offer to us. Not the best thing forever more, but something quite more competitive and more appealing both short-term & long-term to the other corner in the licensing spectrum for the next few centuries, (or until the copyright catches up in given value to the customer and ethics to the lower classes fast but that's very unlikely due to the current rich folks' greed & ideology...) After all, today's enthusiasts, indie artists and modders are tomorrow developers, maintainers and architects.

Permissive licenses, public domain, and third-way alternatives?

~

Nuances on licensing

~

I have a fairly specific example in mind over one thing we should do better for despite the prejudices ill-fully distributed concerning AIs androids and other smart instruments. You see, as a sapient-kind that most likely desires progress and growth for yourself and potentially other individuals, we have a strong responsibility to cater and take care of both ourselves and every single thing we have agency over (to an agreeable extent ofc, not zealous over it) for both autonomous GAI agents and our current clade / species of humans alike... (there are likely aliens and further future humans species awaiting to be born from our efforts this century, unless the meta history is exclusively a job for some other elder sapient species coming before ourselves, which is extremely unlikely)

Seeing how the current mainstream APIs (even OpenAI and Stable Diffusion's) and datasets available for generative AIs, machine leaning models and other such autonomous agents are quite unethical / illegally acquired and heavily biased against a few core values we share instead of promoting the better parts of our psyche and species, I wanted to point out and encourage the independent & humanist re-developments of such technical promesses before the time when we might lose fully those freedoms / rights to develop the very basics of such future-oriented infrastructure.

After all, if we desire to make sure of both growth, progress, autonomy and abundance for us and our species now and onwards, we need to make sure that we get the rightful tools for stellar expansion on-time. And among those Quality-of-Life things that will help us by far for such a purpose and more will be a benevolent GAI (modular?) system. And that takes initial efforts and gentle caring humane guidance to show and bias such a GAI module into the brighter futures that we aim for really. Also, we should not screw up the future of our species (and other sapients') seeing how grand, and magnificent those futures are really headed towards. (See Stellaris, Isaac Arthur, melodysheep and Kurzgesagt)

That being said, I design my constructed world for multiple purposes including to emulate / simulate history, learn & develop my skills, advocate for my worldview and show to each and everyone why how and what matters for the prosperity of the whole species.

~?

Of course, here is the not-so-surprising cliffhanger twist ending of how all of it relates to (Woodrow) Wilsonism, global politics, socio-economics & the last half-millenium of historical patterns...

But that's for a later article. So take care and farewell!

[blubberquark]

The Refterm Lecture

Performance and optimisation, Part One.

Casey Muratori has recently released a terminal application for Microsoft Windows, because the terminal that comes with Windows now is rendering text too slow. If you build a complex application with tens of thousands of source files (if you also compile all dependencies at least), the speed at which the terminal can display compiler invocations becomes a significant bottleneck. Now that processors and NVMe hard disks are so fast, this might even be the most important bottleneck! After Microsoft software engineers in charge of the terminal application publicly declared that it is not realistic, economical, or humanly possible to build a feature-rich terminal application for Windows that runs any faster, Muratori wrote a terminal for Windows that runs orders of magnitude faster, to prove them wrong.

Later he did a stream (VODs are uploaded on YouTube) in which he explained why refterm is so fast, and talked about his philosophy of optimisation.

Refterm is fast because it has an asynchronous design, with one half ingesting and parsing printed lines as fast as possible, writing incoming data to a magic ring buffer, while the UI is running at its own pace in another thread. If data is coming in faster than it can be rendered, it won’t be rendered. Rendering is done on the GPU of course.

There are two ideas from this philosophy I want to highlight:

1. Don’t write slow code! If you don’t have the time and money to optimise, at least, in his words “don’t pessimise” your code. If you catch yourself doing something really inefficient, or if you think the code architecture is forcing you to create a slow implementation, because a fast implementation based on this design is impossible, or bottlenecks that will make the implementation slow are prescribed by the architecture, speak up before it is too late!

2. If you want to optimise it, your guideline should be the maximum theoretical throughput allowed by your hardware. You should calculate how much your system can theoretically handle. Optimised means close to the theoretical optimum.

I think the first is just preaching to the choir, and the second is not practical. If you are talking to an audience of working software engineers who work in tooling, game engines, and operating systems, it’s good to remind them every now and then that their code optimisations will compound and possibly save time for millions of users. If your audience is students, beginners, advanced learners, intermediate learners, or even clueless junior software engineers, it’s useless. If they don’t already know what fast code looks like, something like “don’t write slow code“ is unlikely to help.

The second idea, to strive for the theoretical optimum, feels equally unrealistic. You usually have performance goals, RAM usage goals, a number of users you want to serve, or a certain time you want the phone battery to last. These goals are usually fa from the theoretical optimum. It may help to calculate the most your hardware can give you, or the minimum amount of space you need to store your application state, but most of the time this serves as a sanity check, or prove the theoretical feasibility of optimisation.

In my own experience, the way to optimise your program is:

1. Choose the right architecture, good data structures, and fast algorithms! Big-O notation matters. If your API sucks, the fastest implementation will still suck. If your data structures are slow, even fast algorithms won’t save you if you pass your data structure everywhere and your algorithms everywhere will have to wrangle your poor data structures. If your algorithms have bad asymptotic complexity, sooner or later all assembly wizardry, hardware acceleration, and operating system features will succumb to the maths.

2. Benchmark your application! See if it matches your performance goals. What kind of resources (RAM, CPU, GPU, HDD I/O, network bandwidth) does it utilise? Is it using up all the bandwidth, or does it wait because of poor latency? Does it use unexpected resources? Different types of applications need different types of performance and optimisation for different metrics. You have to measure the right metrics, like frame rate/timings for a game, worst-case response time for a web app, or RAM usage for a chat client.

3. Profile your application! Find where the resource you want to optimise is spent. If most of the time is spent waiting for vsync, good for you! If most of the time is spend in collision detection, maybe invest in better spatial data structures. In all likelihood, Big-O still dominates, and you can gain the most not by re-writing in C or using multiple CPU cores, but by using the right algorithms and data structures. If profiling finds a performance bottleneck in an unexpected part of the program, chances are you haven’t even thought the data structures there and just used arrays.

After I wrote my own post on PyGame’s performance, developer DaFluffyPotato made a video pointing out the importance of using the right data structures to make even something like PyGame run at a decent speed.

The refterm lecture completely skips over these three steps. Refterm is written in C, using an architecture with multiple threads, and a magic ring buffer data structure. Its architecture is geared for throughput, and as a cherry on top, the UI uses GPU rendering and the back-end uses SIMD instructions to parse the text for line breaks and escape sequences. Instead of starting from something like the Windows terminal and incrementally improving it, refterm gets everything right the first time. That’s really cool! But if you want to optimise your own code, and you don’t know here to start, instead of “don’t pessimise”, I would recommend to benchmark, profile, and to pay attention to your data structures and algorithms. That is much more actionable.