#Software Discovery Process

[ryanwilliamsonstuff]

Guide to Software Product Discovery Process for Your Product Team

Learn how the software product discovery process helps businesses effectively plan development and ensures the success of the product.

[grumpyvikingus]

Software Discovery Process Unveiling the Path to Custom Software Development Cost

Understanding the Software Discovery Process

The Software discovery process program discovery machine is the muse upon which successful custom software development stands. It entails a meticulous exam of your enterprise's desires, dreams, and challenges to determine the software's requirements. Let's discover the key components of this device

Defining Your Objectives

Before any coding starts you have to define your goals really. What troubles are you seeking to solve? What dreams are you aiming to reap? This step sets the extent of the complete venture.

A thorough evaluation of your present software program application systems, if any, is essential. Identify their strengths, weaknesses, and regions for improvement. This evaluation lets you design an answer that seamlessly integrates alongside your contemporary infrastructure.

Impact of Software Discovery on Custom Software Development Cost

Now that we've included the importance of the software discovery approach permit's delve into how it impacts the fee of Custom software development cost application improvement.

Preventing Scope Creep

A properly defined discovery phase enables the prevention of scope creep, a commonplace pitfall that could extensively boost improvement charges. When challenge necessities are smooth from the start, there are fewer probabilities of surprising modifications later on.

The software program discovery way allows in for a precise estimation of Process software expenses. With precise expertise of the mission's scope, complexity, and necessities, builders can provide accurate costs, averting budgetary surprises down the street.

By identifying capacity challenges and bottlenecks at some level in the discovery section, you can allocate assets greater efficiently. This way you may optimize the use of your budget and restrict wastage.

Conclusion

In conclusion, the software program discovery process is not the simplest initial step in custom software program improvement; it is a strategic float that immediately impacts the value-effectiveness of your assignment. By investing effort and time into this segment, you are the degree for a smoother development journey, correct charge estimations, and ultimately, a successful software solution that aligns with your commercial business enterprise dreams.

[spacenutspod]

In a quiet part of Northern California, where pine trees brush the sky and the hum of giant satellite dishes fills the air, something big is happening in science education. A new wave of college students is getting the chance to explore the universe — not through textbooks, but with real data from a world-class observatory. Thanks to a growing program called ARISE Lab, students and teachers from community colleges are diving deep into the science of space, radio signals, and the search for alien life. The SETI Institute, which focuses on the scientific search for extraterrestrial intelligence, has expanded this groundbreaking effort. With new support from a grant by the Amateur Radio and Digital Communication Foundation, the ARISE Lab (Access to Radio Astronomy for Inclusion in Science Education) is now reaching even more classrooms across the country. Making Space Science Hands-On The main idea behind ARISE is simple: when students get to do science themselves, they understand it better and stay interested longer. “Hands-on experiences are proven to improve student engagement and retention,” said Dr. Vishal Gajjar, a radio astronomer who leads the project at the SETI Institute. That’s why ARISE puts real scientific tools directly into students’ hands. The Allen Telescope Array at Hat Creek Radio Observatory. (CREDIT: Luigi Cruz) The program uses GNU Radio, a free and open-source software that lets users process radio signals. This gives students a way to study actual data from the SETI Institute’s Allen Telescope Array (ATA). The ATA is the first and only radio telescope in the world built just for detecting signs of advanced life beyond Earth — also called technosignatures. With these tools, students don’t just read about pulsars, spacecraft, or distant stars. They study them. They learn to sort signals, find patterns, and understand how astronomers listen to the sky. What the ARISE Curriculum Offers Dr. Gajjar and his team built the ARISE curriculum using something called experiential learning technique, or ELT. This method focuses on learning by doing. Students start with pre-lab reading, move through guided lab work, and then reflect on what they discover. Related Stories How podcasts are revolutionizing health education and behavior Groundbreaking discovery promotes verbal learning and fights memory loss New AI-based learning system provides personalized math instruction for students ARISE includes two types of content: modules and labs. Modules are more complete packages that come with slides, notes, reading materials, lab manuals, and instructor guides. They are designed to be added directly into a science class. Labs, on the other hand, are shorter, standalone activities that can be used by themselves or as part of a larger lesson. The labs cover a wide range of topics. Students might explore signal modulation — the way information travels through radio waves — or learn how data science applies to astronomy. Each lab has step-by-step instructions that make it easy for both students and teachers to follow. By linking lessons to the search for extraterrestrial life, ARISE grabs students’ attention. Research shows that this subject sparks more interest than almost any other topic in science. “With ARISE, we’re combining cost-effective tools like GNU Radio with one of the most captivating topics in science — the search for life beyond Earth — to spark curiosity and build skills across STEM disciplines,” Gajjar said. Vishal Gajjar, SETI Institute. (CREDIT: SETI Institute) Real Tools, Real Signals, Real Skills The ARISE team doesn’t just give students data and walk away. They create chances for them to experience what it’s like to work in space science. “Whether it’s detecting a signal from a Mars orbiter or analyzing pulsar data, students are gaining real experience with tools used in both professional astronomy and industries,” said Joel Earwicker, the project’s lead research assistant. “It’s about making science feel real, relevant, and achievable.” That real-world feeling is what sets ARISE apart. It connects students with data from the Allen Telescope Array, a set of 42 dish antennas located at the Hat Creek Radio Observatory. This array scans the sky daily, looking for faint radio waves that might come from intelligent life in space. Students learn how to filter out “noise” from human-made signals, track moving sources across the sky, and identify natural phenomena like pulsars — stars that blink like cosmic lighthouses. These skills mirror what professionals do in both astronomy and tech careers, building a direct path from the classroom to the workforce. Students examine live radio signals from deep space, learning to decode real astronomical data using modern tools and guided scientific methods. (CREDIT: SETI Institute) Growing the Program in 2025 After the program’s first pilot workshop at Hat Creek in 2024, the results spoke for themselves. Teachers loved it. Students stayed engaged. The SETI Institute decided to grow the effort. In 2025, ARISE will offer: 15 new labs on topics like astronomy, digital communications, and data analysis 2 hands-on workshops at Hat Creek to train instructors from community colleges On-site lab support at 10 schools to help teachers roll out the new content The team will also host an in-person workshop for six selected community college teachers from June 25 to June 27, 2025, at Hat Creek. These instructors will get travel and lodging covered. At the workshop, they will visit the telescope site, watch live observations, test out lab activities, and collaborate with other science educators. SETI efforts around the world. (CREDIT: SETI Institute) This expanded effort aims to bring advanced science training to places that often get left out of big research programs — local community colleges. These schools educate nearly half of all undergraduates in the U.S., and their students often come from backgrounds underrepresented in STEM fields. By targeting these schools, ARISE gives more people a chance to be part of space science. It also helps instructors bring fresh energy to their classes. Looking Up, Reaching Out When students see real data from space scrolling across their screens, something clicks. Science becomes more than just facts in a book. It becomes a search — one they can be part of. With ARISE, the SETI Institute is changing how students learn science. Instead of memorizing equations, they explore the universe. Instead of just hoping to understand radio signals, they decode them. By giving students the tools, data, and support to study space firsthand, ARISE opens doors — to science, to careers, and maybe even to the stars. Research findings are available online on the SETI Institute website. Note: The article above provided above by The Brighter Side of News. Like these kind of feel good stories? Get The Brighter Side of News’ newsletter. The post New SETI program helps students detect signs of advanced life beyond Earth appeared first on The Brighter Side of News.

[music4lifebycc]

Chasing Tranquillity in My Second Piece, 19 June 2025

Today I worked on the musical ideas for my second piano arrangement. After reviewing my previous improvisation session, I selected a few musical ideas to develop further. For this piece, I am using broken chord patterns in the bass line. The chord progression remains similar to that of the first piece, but this time the bass has a more open and spacious quality.

My intention with this second piece is to create a lighter and more tranquil mood. This piece is connected to the continuing story of my first piece, Tsubaki.

I began by creating a new blank canvas. I then spent time familiarising myself with the draft material, improvising to see where each idea might naturally fall within the structure. This part of the process took around two hours. I felt that my ideas developed more freely compared to when I first began my earlier piece.

Once I had a general sense of what I wanted the piece to sound like, I started arranging the material in a chronological order that felt intuitive and emotionally balanced. This part also lasted around two hours, during which I experimented with the melody and recorded several versions. The slower pace of this piece allowed me to reflect and enjoy the music as it unfolded through my playing.

For the remaining four hours, I practised and improvised further to solidify the structure. This led to new discoveries, particularly in the chorus section. I began shaping the overall form of the piece, moving from the introduction to the verse, into the chorus, back into the verse, and finally into a repeated chorus. This final chorus is accompanied by a gentle background layer that resembles the verse, acting as an embellishment. I am still leaving space for changes, in case I decide to remove or replace certain sections that do not flow as naturally as I would like.

To help with organisation, I used colour coding within the session. This method has been helpful in giving me clarity and making the arrangement feel more like a score in progress, similar to working with notation software where accuracy and intention are both important. My next step will be to record the full version of the piece and begin preparing it for the instrumental layering phase. ####### Side Note #######

Today I spent around 8 hours working on finalising the musical ideas for my second piano arrangement. I spent 2 hours improvising and familiarising myself with selected motifs, 2 hours arranging them in a rough structure with re-recordings, and 4 hours practising, refining, and shaping the structure of the piece. ####### End of Side Note #######

Thank you so much for reading and accompanying through this journey! Stay tuned for the next session ^_^

[sp-delta]

Finally...she's here!

Oh, who is she? A misty memory...

> Delta is a specialized exploit program developed by an anonymous hacker who was secretly hired by the Dillingers. For a hefty reward, this programmer agreed to infiltrate the corporate network of ENCOM and obtain exclusive confidential documents needed to take over the business.

Using technical vulnerabilities of the target enterprise, Delta successfully penetrates the internal system of the organization and gains full access to the entire volume of corporate data. However, contrary to expectations, the files sought are not there. However, another important discovery attracts the hacker's attention - information about a mysterious infrastructure called the Grid.

Assuming that the files sought may be there, the attacker begins a lengthy process of searching for information about the new discovery. To accomplish this task, the specialist equips the tool he created - the Delta program - with the ability to independently analyze large volumes of data and sends it to explore the virtual infrastructure known as the Grid.

After much work exploring multiple levels and subsystems, Delta finally finds what the mission was launched for - the Grid itself and the ability to penetrate it. During the exploration of the Grid, it is discovered by protective programs that threaten delete Delta. However, using its abilities, the exploit manages not only to repel the attack, but also to obtain additional information, including information about a certain "system administrator". Delta realizes that all the most important information may be stored with him and sets off. The system administrator turns out to be a program in black and yellow robes named CLU. He admires her abilities and at the same time is wary of her knowledge of users. However, he decides to make her his ally. This is where the unexpected happens: the connection between the operator-programmer and the Delta program itself is suddenly lost.

This situation becomes a serious problem for the creator of the program, because the contact was lost unexpectedly and for no apparent reason. At the same time as the connection disappears, the visual representation of the program's lines takes on an unusual shade of red-orange.

Features:

• vision that allows you to see vulnerabilities

• the ability to penetrate the protective barriers of programs and systems. Exploit is able to detect weak points in defenses and use them to get inside. Once inside, it begins to manipulate the internal mechanisms of the program, taking control of it* and forcing it to act contrary to its original goals.

*"take control"

Taking control implies the ability to influence the behavior of a program by performing certain operations, such as changing settings, stealing data, installing additional software and other unwanted actions.

• Due to its flexibility and adaptability, the exploit can imitate other programs, hiding among the peaceful inhabitants of the Tron world. This ability makes it virtually invisible to guards and patrols, allowing it to freely move around the territory, collecting valuable information.

> The triangle symbol (∆) on Delta's chest is her distinctive mark, the symbol of her name, her essence, her abilities. (The ∆ sign is used in mathematics, physics and other sciences to denote difference, increment, or change.)

(I finally finished retcon Delta and made her story acceptable. I hope you like it!)

[spacetimewithstuartgary]

The Vera C. Rubin Observatory will detect millions of exploding stars

Measuring distances across the universe is much more challenging than measuring distances on Earth. Is a brighter star closer to Earth than another, or is it just emitting more light? To make confident distance measurements, scientists rely on objects that emit a known amount of light, like Type Ia supernovae.

These spectacular explosions, among the brightest to ever be recorded in the night sky, result from the violent deaths of white dwarf stars and provide scientists with a reliable cosmic yardstick. Their brightness and color, combined with information about their host galaxies, allow scientists to calculate their distance and how much the universe expanded while their light made its journey to us. With enough Type Ia supernovae observations, scientists can measure the universe's expansion rate and whether it changes over time.

Although we've caught thousands of Type Ia supernovae to date, seeing them once or twice is not enough—there is a goldmine of information in how their fleeting light varies over time. NSF–DOE Vera C. Rubin Observatory will soon begin scanning the southern hemisphere sky every night for ten years, covering the entire hemisphere approximately every few nights. Every time Rubin detects an object changing brightness or position it will send an alert to the science community. With such rapid detection, Rubin will be our most powerful tool yet for spotting Type Ia supernovae before they fade away.

Rubin Observatory is a joint program of NSF NOIRLab and DOE's SLAC National Accelerator Laboratory, which will cooperatively operate Rubin.

Scientists like Anais Möller, a member of the Rubin/LSST Dark Energy Science Collaboration, look forward to Rubin's decade-long Legacy Survey of Space and Time (LSST), during which it's expected to detect millions of Type Ia supernovae.

"The large volume of data from Rubin will give us a sample of all kinds of Type Ia supernovae at a range of distances and in many different types of galaxies," says Möller.

In fact, Rubin will discover many more Type Ia supernovae in the first few months of the LSST than were used in the initial discovery of dark energy—the mysterious force causing the universe to expand faster than expected based on gravitational theory. Current measurements hint that dark energy might change over time, which—if confirmed—could help refine our understanding of the universe's age and evolution. That in turn would impact what we understand about how the universe formed, including how quickly stars and galaxies formed in the early universe.

With a much larger set of Type Ia supernovae from across the universe scientists will be able to refine our existing map of space and time, getting a fuller picture of dark energy's influence.

"The universe expanding is like a rubber band being stretched. If dark energy is not constant, that would be like stretching the rubber band by different amounts at different points," says Möller. "I think in the next decade we will be able to constrain whether dark energy is constant or evolving with cosmic time. Rubin will allow us to do that with Type Ia supernovae."

Every night Rubin Observatory will produce about 20 terabytes of data and generate up to 10 million alerts—no other telescope in history has produced a firehose of data quite like this. It has required scientists to rethink the way they manage rapid alerts and to develop methods and systems to handle the large incoming datasets.

Rubin's deluge of nightly alerts will be managed and made available to scientists through seven community software systems that will ingest and process these alerts before serving them up to scientists around the world. Möller, together with a large collaboration of scientists across expertises, is developing one of these systems, called Fink.

The software systems collect the alerts from Rubin each night, merge Rubin data with other datasets, and using machine-learning, classify them according to their type, such as kilonovae, variable stars, or Type Ia supernovae, among others. Scientists using one of Rubin's community systems, like Fink, will be able to sort the massive dataset of alerts according to selected filters, allowing them to quickly home in on the data that are useful for their research.

"Because of the large volumes of data, we can't do science the same way we did before," says Möller. "Rubin is a generational shift. And our responsibility is developing the methods that will be used by the next generation."

[partisan-by-default]

"Auto rejection systems from HR make me angry," the manager wrote in their comment. They went on to explain that while searching for a new employee recently, their HR department was unable to find a single qualified candidate for the job in three months of searching.

Naturally, the manager became suspicious and decided to investigate. "I created myself a new email and sent them a modified version of my CV with a fake name to see what was going on with the process," they wrote. "And guess what, I got auto-rejected. HR didn't even look at my CV."

When the manager brought the issue to upper management, "they fired half of the HR department in the following weeks." It turned out the entire problem resulted from a typographical error with enormous consequences.

The manager works in the tech space and was trying to hire developers. But HR had set up the system to look for developers with expertise in not only the wrong development software but a development software THAT DOESN'T EVEN EXIST ANYMORE.

"They were looking for an AngularJS developer," he wrote, "while we were looking for an Angular one (different frameworks, similar names)." AngularJS was discontinued in 2010. In 2010!

[luserat]

Me and my friends are facing a lot cancelations from multiple communities [Read below to know more]

So me and my friends are facing lot of cancelation from a lot of communities. We had spiritual brainwave entrainment project. It combines two types of view point, neuroscience and spirituality. It brings a classic debate of science vs spirituality where ever we are invited to talk. Keep in mind, we don't go to various communities and look for approval, they first invite us because we have done extensive research on the area. But when we are invited by a neuroscience community, yes the science nerds.. yes they see us with speculation, even though impressed with seeing with results they question the validity of how the research was done. They then berate us according to their country/university, laws, regulations and ethics. Which hey? We don't belong to your country. Not every country laws, regulations and ethics are like USA. There are other much larger democracies that exist in this planet. Sure, spiritual terms and concepts are not in your science books, doesn't change the fact that there are such experiences observed by spiritual people, and they have defined explained those concepts and processes. On the other hand when we are invited by spiritual communities, they devalue our work and say these science tools can never give us enlightenment or help us in spiritual progress because spirituality is beyond those tools. We can never measure the quality of work with quantitative approach. Okay? Then tell me this, when man discovered fire, it was a scientific discovery and we use it for all sorts of spiritual purposes, should we stop using fire all together? At the end of the day brainwave entrainment spiritual tools are tools any tool requires a bit of skill to be used and it depends on the user how they use it. Such as a knife is a tool, you can use it to make a salad or kill someone. Both requires a different style of skill and intent and purpose of user changes the outcome. Then comes the part of big tech such as google forcing us to register as an organization in play store console account because hey, spiritual meditation falls in "Health and fitness" apps category so it medical software and medical software can only be made by organizations not individuals? Then another issue with big tech comes is that since they are so big they think they are above everybody and can dictate things technical side of things? Well hello? Your big systems and expert / specialist reviewers can make errors too. Doesn't mean you make your erroneous decision absolute and walk over others. Our app used play asset delivery for android but apparently google play console reviewers are unable to utilize that system because hey? guess what, the play asset delivery of google during app review time doesn't work. So what we should do? We should go ahead suspend the app, and remove it from the play store. Because we are "Google" we are so big WE KNOW EVERYTHING! yeah as if? But people chose US! Nope, you just brought your way in to everyone's availability and accessibility. That's it. You are monopoly, you SHOULD BE BROKEN UP! In niche game dev communities we face cancellations from other game dev such as the character is not dark enough, you are white washing the character. WTF? There are all sorts of colors in human race with all sorts of skin tone!! We are not required to include every skin tone humanity has with couple of characters a game has. And yes some countries' regions do have dominance of one skin tone over other. Stop making this a USA culture issue. No we didn't included LGBTQ characters because guess what? Not all countries have that big or vibrant communities of LGBTQ, some country cultures are more traditional and see it as inappropriate to show these to children.

Have an open mind the world and universe is bigger than you know or believe!

I guess that's the end of my rant.

[genericpuff]

Let me preface this: I'm an architecture major

I used to be a big LO fan but obviously fell out of love of it like a lot of us did, and I know LO uses SketchUp for backgrounds. That is not an issue I have with the comic or any comic, I want artists to have an easier time in any way they can. I was always under the impression Rachel imported the models into Photoshop and drew over them like you can see in the early episodes with the sketchy lines. Well, school just started recently for me and I now have access to SketchUp for my coursework, and I made a few discoveries: 1. Photoshop cannot read SketchUp files, and while you can import them into Clip Studio through some configuring, they can be finicky and will lose parts in the importing process, so they are best used into the original SketchUp program to export as PNGs. 2. Many of the models Rachel uses are incredibly easy to find, especially if you put "modern", "luxury", or "classy" before the main part of the search. Many of the houses and rooms for example are first page results. 3. The biggest discovery: You know how we all assumed Rachel was hand-drawing all the lines over the SketchUp models and how she gave up the longer LO went on? Well, it's actually worse. It turns out SketchUp has a thing called "Styles" in it, which means you can mess with the lines and look of the model, such as making it look more like a blueprint or playing with the colors. Well, they have a lot of styles on SketchUp known as "sketchy lines", which are the exact ones Rachel used early in the comic to fit with her style, and it takes a literal click of a button to do. All she would do is pose the model, click the sketchy line style, and export the PNG. That's it. So, yeah, Rachel is so checked out of the comic that she can't even bother to click a single button to make the models fit into the comic's style anymore. Use that information however you like.

Ouhhh sorry OP, I'm about to like, undo all the work you just put into that ask. We've already known about the 3D background problem for a long while now.

First off, it's more likely LO doesn't use SketchUp but actually Acon3D, which is a website that offers 3D models both for free and at cost, which are actually compatible with software like Clip Studio. As soon as you open it up you'll likely see a lot of very familiar backgrounds that are often used in romances, isekais, and period pieces. It's literally the go-to spot for Webtoon Originals creators. Like, to the point that I wouldn't be surprised if Naver was partnered with them because of how many of their creators use it.

Second, there's plenty of up-to-date evidence to support the fact that Rachel doesn't exclusively stick to one software, sometimes she's drawing in Photoshop, sometimes she's drawing in Clip Studio Paint, sometimes she's drawing in Procreate. She's undoubtedly using Clip Studio for her paneling, speech bubbles, and backgrounds, as there are built in tools to utilize and convert 3D materials into lineart, among other features that are recognizable as coming from CSP because they're not available in PS or Procreate.

Third, yes, she just uses filters to turn her backgrounds into lineart, this has been apparent since S1. The only backgrounds she's ever 'hand drawn' were the ones involving lots of nature and even those are mostly just Photoshop brushes stamped on.

Like I realize I'm probably bursting your bubble here and I apologize for that lmao but these buildings were never hand-drawn, this is not new information (￣﹏￣；) I appreciate you mentioning your own experiences with it as you're learning it though, I find once you start to learn the process yourself you really start to notice what others are doing. Even I've gone through that over the past couple years as I started to use 3D models and more advanced tools specifically for drawing webtoons.

I will mention btw, there's nothing wrong with using 3D models for your character drawing and backgrounds. The only time it tends to get frustrating is when you're reading a comic that isn't making any attempts to blend the background in with the art style.

Like, The Kiss Bet probably uses 3D models to help with perspective and laying out scenes quickly without second-guessing, but you can tell they still hand-draw over the models because they look natural and like they belong to the comic's stylization. The characters don't look out of place sitting in a living room and the living room doesn't look distracting.

But then you get stuff like Lore Olympus, Let's Play, and Midnight Poppy Land, and it becomes a bit more obvious they're not giving a shit about backgrounds lmao

I get it, WT's deadlines are cutthroat as fuck, but if it's getting to the point that you have an entire team behind you and you're literally just copy pasting video game models from Phantom Hourglass, then it's probably time to re-focus your priorities a bit. There are comics with as few as 1-2 assistants (and even in some cases no assistants at all!!) pulling off backgrounds better than this, even when they're taking shortcuts.

(Nevermore and City of Blank)

But a lot of that does come down to how WT manages its expectations as well as support for their creators. The deadlines and requirements WT puts their creators under are insane and awful in the long-term, and they're not acting with the amount of professionalism they ought to be for a platform that's trying to breakout as a major publisher here in the West. I feel like it comes down to WT loosening the choke chain around their creators, but also creating a standardized level of quality to ensure it's not suffering for the sake of quantity. The traditional literature industry has real editors and stages of quality control for a reason, whereas WT is more interested in just throwing as many series at the wall and dumping all their stock into the ones that stick.

[mifiada]

MifiadaHome Starting a Brand | AI in Brand Marketing: Can AI Pave the Path to Social Media Millions? Episode 1

A current MSc Marketing student, I often find myself researching into the world of Digital Marketing more specifically overnight 'virilisation' and furthermore the 'social media millions' that so many millennials dream of. With the glamorous lives of social media influences further demonstrating how fame and fortune can be attained by generating a large audience through social media virilisation, the question arises: is it attainable for the average millennial like you or me, who is not famous, nor born of privilege, but armed with a mobile phone and big dreams?

The Allure of Virality: A Millennials Obsession?

Debunking the myth behind AI, particularly tools such as ChatGPT or Gemini, being the holy grail to attaining overnight success. With AI gurus filling our #fyp with heavy promises of achieving financial freedom and escaping from the controversial 9-to-5, every millennial's dream of monetising their passion. Unfortunately, the harsh reality is that viral moments are fleeting, unpredictable, and even when attained, to reach social media stardom and replicate said moment, this often becomes impossible. Initially, understanding being virality is more to do with luck and an intangible 'it' factor than any replicable strategy.

AI as the Navigator in the Viral Storm?

My perspective on AI begins to shift with the discovery of a specific software called Kling AI. The pursuit of 'virality', as I now understand it, isn't just about random chance; it's about optimising efforts for maximum shareability and resonance.

My previous reflection within the topic focused on AI's ability to understand audiences, and craft compelling narratives, and identify your inner influencer abilities. Now, I see how these capabilities directly feed into the virilisation equation. If Tuten & Solomon (2015) emphasised engagement and relationship, then 'Kling AI' takes that a step further by identifying the optimal points of engagement that trigger sharing. Imagine an AI that doesn't just tell you what your audience likes, but what they are most likely to share with their network. This isn't about creating a viral hit from scratch, but about increasing the probability of viral spread for well-crafted content.

Storytelling for Shareability: The AI Edge?

The power of a narrative, as Van Laer et al. (2014) articulated, lies in its ability to transport an audience. To go viral, you need to be more than just author; but rather transcend your audiences mind to a world which was previously unknown, a subtle but crucial distinction.

With cutting edge animation 'Kling AI's' ability to tell a story is unmatched. It also enables past performance analysis to better develop storylines, this is powerful for identifying stories that better resonates with the audience, which would propel people to share them this could be:

Addictive Content:

-Emotional hook

-Surprising twist

-Universal truth

A cheat code to knowing what design, colour scheme, theme has previous resulted in higher viewer count, moves past the guessing game or what others might deem luck but rather the ability to make data driven creative decisions.

The Conclusion: How do you amplify Organic Reach?

Rosenbaum's (2011) "Curation Nation" this concept demonstrates the active role users play in content creation. The need for community is seen in other words as an engine of virality. Through the play of consistency, this doesn't leave process of becoming viral to chance but rather through sawing seed via more than one social platform, it allows for the opportunity of it flourishes sparking a chair reaction for the creator to then replicate said moment.

Reference List:

Rosenbaum, S. (2011) Curation Nation: How to Win in a World Where Consumers are Creators. New York: McGraw-Hill.

Tuten, T.L. and Solomon, M.R. (2015) Social Media Marketing. 2nd edn. London: Sage Publications.

Van Laer, T., De Ruyter, K., Visconti, L.M. and Wetzels, M. (2014) ‘The Extended Transportation-Imagery Model: A Meta-Analysis of the Antecedents and Consequences of Consumers’ Narrative Transportation’, Journal of Consumer Research, 40(5), pp. 797–817. https://doi.org/10.1086/673383

[ryanwilliamsonstuff]

Guide to Software Product Discovery Process for Your Product Team

Learn how the software product discovery process helps businesses effectively plan development and ensures the success of the product.

[grumpyvikingus]

The Action of the Software Discovery Process is Crucial

When new data becomes available, we may quickly update the lists that they are organized into.At this Software discovery process step, you assess the product concept's viability, practicability, and usabilityEvery thought, endeavour, and endeavor have as their core the great Why.The discovery stage of software development appears to be confusing to most people, including some business owners. When new data becomes available, we may quickly update the lists that they are organized intoalso referred to as the scoping phase. During the discovery phase, the project team must invest a lot of time in planning, research, information gathering, and analysis. Bring down the price of construction. Find potential risks and eliminate them. Determine the needs, needs, and product vision of the company. Make a solid plan for the creation of your product.Determining the project's vision, goals, and scope as well as recognizing risks are among its main responsibilities. The project discovery phase should do the same, which makes sense. In other words, why did this service begin? what is its fundamental need or purpose? Based on expertise, these are the top explanations:Create the architecture of your product with specific commercial goals in mind.Despite its potential for complexity and profundity of Custom software solutions development, it actually involves common commercial practices.Software development starts with the discovery phase, and they are comprehensible to stakeholders, developers, and users alike.

What happens during a project's discovery phase?

The core process of the project's discovery phase is impacted by the product development agency strategy. Here we use adiscovery phase technique to create software and products.    Senior management and other interested parties should be included in discussions regarding the next software project. Typically, this procedure entails conducting interviews, acquiring the appropriate paperwork, developing KPIs, and carrying out additional measurements.Take notes, research your competitors, employ the best strategies, and accomplish even more!We adore this apparatus. They are comprehensible to stakeholders, developers, and users alike.

[brainbrowserhistory]

Spoons. Spell Slots. RAM

(The title for this one reminds me so much of the Dodge Ram truck ads voiced by Sam Elliot. "GUTS. GLORY. RAM.")

So if anyone reading this is like me, you understand the idea of a "social battery." If you're not quite sure what that is, it's pretty self explanatory. Everyone, even extroverts, have a finite amount of energy to spend on social interaction. Much like a phone battery, this amount decreases as you go about your day. Those with social anxiety, introverts, or under numerous other circumstances, have much less of a capacity than your average person.

In my mind, since this amount tends to be so much less, going on a battery percentage doesn't really feel accurate. So one theory I've found that sounds very applicable and easier to understand is the Spoon Theory. This idea, coined by a writer named Christine Miserandino in 2003, is based on her experience with chronic illness using spoons to represent units of energy used for social interactions. Since then it has been applied to a wide range of issues from neurological disorders to fatigue-related physical issues, and beyond. Going to the store might be one or two spoons. Going to a party might be two or five. The number is very subjective but it helps many people manage their daily lives, and after you've used your spoons for the day you restock after you've rested.

Now, I'm a huge nerd. Video games, movies, sci-fi, superheroes, so many fandoms and so little brain space to fit them all in. With that in mind, spoons are kinda meh to me. I can't fathom carrying around spoons in my back pocket and handing them out every time I do something during the day. So a second theory I came across borrows from the wonderful past time of Dungeons & Dragons. In lieu of spoons, you have spell slots. Every character, no matter the class, has spells slots. You do a thing, you've used up a spell slot. Your slots then replenish after a long rest. Same idea, different presentation. I don't mind this idea, it's pretty applicable and a little easier to understand.

I'm also a very technical person. As in computers, software, phones, etc. I do my best to keep up on the latest tech advances across the board be it private use, military advances, or even medical tech milestones. This combined with my nerdier tendencies put me on a path to the discovery and love of the Cyberpunk genre. I never got to play the tabletop game that Cyberpunk 2077, developed by CDProjektRed, was based on but I read up on it to better understand the world that the game is set in. Blade Runner, Johnny Pneumonic, and RoboCop were early exposures into the dystopian worlds that these kinds of movies are set in. I also love The Ascent which is cyberpunk Diablo, in essence. If it's high tech and I get to shoot stuff, chances are I'll like it. So imagine my surprise when this genre inspired me to come up with a new idea. Maybe not so new, technically, but new to me in the least.

In Cyberpunk 2077, your character, called V, is able to stick all sorts of enhancements and upgrades in their body. The cornerstone of which is the cyberdeck. Like a modern computer, the cyberdeck is the processor of V's hacking programs. And much like a processor, the cyberdeck utilizes RAM (Random Access Memory), to operate. When you run a hack, it blocks out a set amount of RAM which goes into a cool down state, and after a time the RAM is available again. The better quality your cyberdeck, the more RAM you have available at the ready.

So, in the spirit of the Spoon/Spell Slot Theory, I'd like to throw in RAM Theory. Instead of handing out spoons or using up spell slots, you're using up your set gigabytes of RAM throughout your day, portrayed by RAM sticks that get filled up or colored red, however people would like to imagine it. One could take it a step further by quantifying the sticks to a set number of gigabytes. These days they can process 4, 8, and 16 GB per individual stick. High-end gaming computers can have 32 GB of RAM or more depending on how much one decides to invest in their equipment. I think keeping it simplified to a number of sticks used per activity feels better.

Would it work for everyone? Of course not, but if RAM makes more sense to someone than spoons or spell slots as it does for me, then I'm more than happy to send it into the world and see if it sticks. I'd like to see what other ideas people come up with. I feel like it's a universal enough concept that it can be applied to other things.

And who knows, maybe one day soon cybernetic modifications will be the norm, and then we can really see how much RAM your average person uses to do their day-to-day business. The future is limitless.

Laters!

[embyrinitalics]

Hi 😍

Hap hap new year!

How is the novel going? Are you enjoying the process?

This is so sweet! Thank you for asking!

Since this is the first original novel I'm actually approaching seriously and my process is totally different from normal, I'm going to use this ask as an excuse to journal about it. So, fair warning, you're probably about to get way more info than you bargained for. 😁 ONWARD!

I think first and foremost the process has been weird because I don't KNOW these characters. I've been writing Link and Zelda for 20+ years and even when I throw them into alternate universes or give them personality transplants I still can just dive right in. Starting this from scratch has been a lot of world building and a lot of taking my characters out on "dates" which aren't so much dates as they are writing excursions into the emotionally tormented unknown to see how they react. 😂

I jot down all the ideas that randomly strike me in this handy dandy notebook that I carry around everywhere just in case:

And that's a bit of a funny story. I love having notebooks to write stuff down in, but I recently discovered thanks to the course I took that I place very low value on my writing (and by extension myself in general I guess oops) so I never bought myself a nice notebook just for story notes because that would've been a waste of 5 dollars.

But between Emma Dhesi's course pushing me to assign appropriate value to myself and Ellen Brock's Intuitive Pantser video assuring me that my urges to compile all my notes into a notebook was good for my brain and not just a waste of time and paper, I eventually went out and spent that 5 bucks (actually $20—three notebooks for future endeavors!). And I LOVE MY NOTEBOOK! 🥰

Another thing I wouldn't have spent the money on in the past but took the plunge on is the Atticus program.

It's a project organizer, word processor, and book formatting software. I'm really enjoying it! It has a toggle window on the side where you can see how your book will look on various devices or in print, and easy buttons for things like writing sprints, word count goals, deadlines, and the like. It also makes me feel fancier than google docs ever did, so there's that. 😎

Emma Dhesi is also a big proponent of Goal Anchors—small things you accomplish and surround yourself with that cyclically trains your brain to believe that your dream is possible, and you are in the process of achieving it. (It also gives you goals you can do that move you closer to finishing your book that isn't actual writing, in case that feels intimidating.)

So I made an image of the title page the background on my phone, to remind myself that it's real and it's happening. I decluttered my writing room and started finding items to make it a comfortable creative space for myself. I went to the store for the express purpose of purchasing a special tea to drink while I write. I spent time making a playlist of songs with just the right vibes.

I also found the best candle scent ever, only wear these super comfy slippers in there, and just got myself this slammin t-shirt from Gideon's Bakehouse to wear. (Her name is Poppy. She's on a new path of self-discovery and adventure, just like me.)

But most of all, Emma insists that confidence comes from doing, and that the best way to write a book is to make a routine of it. She suggested starting with 20 minutes three times a week. I was up to between 1-2 hours a day starting at 7am, 5-6 days a week before I went on vacation and upended everything. 😂

So I guess that means I'm enjoying it! It's still scary and frustrating and directionless sometimes but more than anything it's just happening, which is the coolest thing ever.

[apexbyte]

What is artificial intelligence (AI)?

Imagine asking Siri about the weather, receiving a personalized Netflix recommendation, or unlocking your phone with facial recognition. These everyday conveniences are powered by Artificial Intelligence (AI), a transformative technology reshaping our world. This post delves into AI, exploring its definition, history, mechanisms, applications, ethical dilemmas, and future potential.

What is Artificial Intelligence? Definition: AI refers to machines or software designed to mimic human intelligence, performing tasks like learning, problem-solving, and decision-making. Unlike basic automation, AI adapts and improves through experience.

Brief History:

1950: Alan Turing proposes the Turing Test, questioning if machines can think.

1956: The Dartmouth Conference coins the term "Artificial Intelligence," sparking early optimism.

1970s–80s: "AI winters" due to unmet expectations, followed by resurgence in the 2000s with advances in computing and data availability.

21st Century: Breakthroughs in machine learning and neural networks drive AI into mainstream use.

How Does AI Work? AI systems process vast data to identify patterns and make decisions. Key components include:

Machine Learning (ML): A subset where algorithms learn from data.

Supervised Learning: Uses labeled data (e.g., spam detection).

Unsupervised Learning: Finds patterns in unlabeled data (e.g., customer segmentation).

Reinforcement Learning: Learns via trial and error (e.g., AlphaGo).

Neural Networks & Deep Learning: Inspired by the human brain, these layered algorithms excel in tasks like image recognition.

Big Data & GPUs: Massive datasets and powerful processors enable training complex models.

Types of AI

Narrow AI: Specialized in one task (e.g., Alexa, chess engines).

General AI: Hypothetical, human-like adaptability (not yet realized).

Superintelligence: A speculative future AI surpassing human intellect.

Other Classifications:

Reactive Machines: Respond to inputs without memory (e.g., IBM’s Deep Blue).

Limited Memory: Uses past data (e.g., self-driving cars).

Theory of Mind: Understands emotions (in research).

Self-Aware: Conscious AI (purely theoretical).

Applications of AI

Healthcare: Diagnosing diseases via imaging, accelerating drug discovery.

Finance: Detecting fraud, algorithmic trading, and robo-advisors.

Retail: Personalized recommendations, inventory management.

Manufacturing: Predictive maintenance using IoT sensors.

Entertainment: AI-generated music, art, and deepfake technology.

Autonomous Systems: Self-driving cars (Tesla, Waymo), delivery drones.

Ethical Considerations

Bias & Fairness: Biased training data can lead to discriminatory outcomes (e.g., facial recognition errors in darker skin tones).

Privacy: Concerns over data collection by smart devices and surveillance systems.

Job Displacement: Automation risks certain roles but may create new industries.

Accountability: Determining liability for AI errors (e.g., autonomous vehicle accidents).

The Future of AI

Integration: Smarter personal assistants, seamless human-AI collaboration.

Advancements: Improved natural language processing (e.g., ChatGPT), climate change solutions (optimizing energy grids).

Regulation: Growing need for ethical guidelines and governance frameworks.

Conclusion AI holds immense potential to revolutionize industries, enhance efficiency, and solve global challenges. However, balancing innovation with ethical stewardship is crucial. By fostering responsible development, society can harness AI’s benefits while mitigating risks.

[spacetimewithstuartgary]

Millions of new solar system objects to be found and ‘filmed in technicolor’ – studies predict

A group of astronomers from across the globe, including a team from the University of Washington and led by Queen’s University Belfast, have revealed new research showing that millions of new solar system objects will be detected by a brand-new facility, which is expected to come online later this year.  

The NSF–DOE Vera C. Rubin Observatory is set to revolutionize our knowledge of the solar system’s “small bodies” — asteroids, comets and other minor planets. 

The Rubin Observatory, under construction on the Cerro Pachón ridge in northern Chile, features the 8.4-meter Simonyi Survey Telescope with a unique three-mirror design capable of surveying the entire visible sky every few nights. At its heart is the world’s largest digital camera — the 3.2 gigapixel Legacy Survey of Space and Time (LSST) Camera — covering a 9.6 square-degree field of view with six filters, roughly 45 times the area of the full moon. Together, this “wide-fast-deep” system will generate 20 terabytes of data every night — creating an unprecedented time-lapse “movie” of the cosmos over the next 10 years, and an incredibly powerful dataset with which to map the solar system.

The team of astronomers, led by Queen’s University’s Meg Schwamb, created Sorcha, an innovative new open-source software used to predict what discoveries are likely to be made. Sorcha is the first end-to-end simulator that ingests Rubin’s planned observing schedule. It applies assumptions on how Rubin Observatory sees and detects astronomical sources in its images with the best model of what the solar system and its small body reservoirs look like today.  

“Accurate simulation software like Sorcha is critical,” said Schwamb, a reader in the School of Mathematics and Physics at Queen’s University. “It tells us what Rubin will discover and lets us know how to interpret it. Our knowledge of what objects fill Earth’s solar system is about to expand exponentially and rapidly.” 

In addition to the eight major planets, the solar system is home to a vast population of small bodies that formed alongside the planets more than 4.5 billion years ago. Many of these smaller bodies remain essentially unchanged since the solar system’s birth, acting as a fossil record of its earliest days. By studying their orbits, sizes and compositions, astronomers can reconstruct how planets formed, migrated and evolved.

These objects — numbering in the tens of millions -— provide a powerful window into processes such as the delivery of water and organic material to Earth, the reshaping of planetary orbits by giant planets and the ongoing risk posed by those whose paths bring them near our planet.

In addition to Queen’s University and the UW, the international team includes researchers from the Center for Astrophysics | Harvard & Smithsonian and the University of Illinois Urbana-Champaign. 

A series of papers describing the software and the predictions have been accepted for publication by the Astronomical Journal and are available now on arXiv.org. 

Beyond just finding these new small bodies, Rubin Observatory will observe them multiple times using different optical filters, revealing their surface colors. Past solar system surveys typically observed with a single filter.  

 “With the LSST catalog of solar system objects, our work shows that it will be like going from black-and-white television to brilliant color,” said Joe Murtagh, a doctoral student at Queen’s University. “It’s very exciting – we expect that millions of new solar system objects will be detected and most of these will be picked up in the first few years of sky survey.” 

The team’s simulations show that Rubin will map: 

127,000 near-Earth objects — asteroids and comets whose orbits cross or approach Earth. That’s more than tripling today’s known objects, about 38,000, and detecting more than 70% of potentially hazardous bodies larger than 140 meters. This will cut the risk of undetected asteroid impact of catastrophic proportions by at least two times, making a tremendous contribution to planetary defense. 

Over 5 million main-belt asteroids, up from about 1.4 million, with precise color and rotation data on roughly one in three asteroids within the survey’s first years. This will give scientists unprecedented insight into the characteristics and history of the solar system’s building blocks.

109,000 Jupiter Trojans, bodies sharing Jupiter’s orbit at stable “Lagrange” points —  more than seven times the number cataloged today. These bodies represent some of the most pristine material dating all the way back to the formation of the planets. 

37,000 trans-Neptunian objects, residents of the distant Kuiper Belt — nearly 10 times the current census — shedding light on Neptune’s past migration and the outer solar system’s history. 

Approximately 1,500-2,000 Centaurs, bodies on short-lived giant planet-crossing orbits in the middle solar system. Most Centaurs will eventually be ejected from the solar system, but a few lucky ones will survive to become short-period comets. The LSST will provide the first detailed view of the Centaurs and the important transition stage from Centaur to comet.   

Rubin Observatory’s LSST is a once-in-a-generation opportunity to fill in the missing pieces of our solar system, said Mario Juric, a member of the Sorcha team and a UW professor of Astronomy. Juric also is a team lead of Rubin’s Solar System Processing Pipelines and a director of UW’s DiRAC Institute. 

“Our simulations predict that Rubin will expand known small-body populations by factors of 4–9x, delivering an unprecedented trove of orbits, colors and light curves,” Juric said. “With this data, we’ll be able to update the textbooks of solar system formation and vastly improve our ability to spot — and potentially deflect — the asteroids that could threaten Earth.” 

It took 225 years of astronomical observations to detect the first 1.5 million asteroids, and researchers found that Rubin will double that number in less than a year, said Jake Kurlander, a doctoral student at the UW. 

“Rubin's unparalleled combination of breadth and depth make it a uniquely effective discovery machine,” Kurlander said.

IMAGE: Researchers from the UW and Queen’s University Belfast believe that knowledge of the objects in the solar system will expand exponentially when a new telescope comes online later this year. Shown here is a visualization of what astronomers predict the NSF–DOE Vera C. Rubin Observatory’s LSST Camera will see, including asteroids and other objects in the sky.Sorcha.space/University of Washington