#it is an algorithm and like all algorithms it can be applied and developed in harmful ways | Explore Tumblr Posts and Blogs

goldsasa · 1 year

Text

Dear Sirs!

(or have some ladies also signed?)

A few days ago, you, Mr Musk, together with Mr Wozniak, Mr Mostaque and other signatories, published an open letter demanding a compulsory pause of at least six months for the development of the most powerful AI models worldwide.

This is the only way to ensure that the AI models contribute to the welfare of all humanity, you claim. As a small part of the whole of humanity, I would like to thank you very much for wanting to protect me. How kind! 🙏🏻

Allow me to make a few comments and ask a few questions in this context:

My first question that immediately came to mind:

Where was your open letter when research for the purpose of warfare started and weapon systems based on AI were developed, leading to unpredictable and uncontrollable conflicts?

AI-based threats have already been used in wars for some time, e.g. in the Ukraine war and Turkey. Speaking of the US, they are upgrading their MQ-9 combat drones with AI and have already used them to kill in Syria, Afghanistan and Iraq.

The victims of these attacks - don't they count as humanity threatened by AI?

I am confused! Please explain to me, when did the (general) welfare of humanity exist, which is now threatened and needs to be protected by you? I mean the good of humanity - outside your "super rich white old nerds Silicon Valley" filter bubble? And I have one more question:

Where was your open letter when Facebook's algorithms led to the spread of hate speech and misinformation about the genocide of Rohingya Muslims in Myanmar?

Didn't the right to human welfare also apply to this population group? Why do you continue to remain silent on the inaction and non-transparent algorithms of Meta and Mr Zuckerberg? Why do you continue to allow hatred and agitation in the social media, which (at least initially) belonged to you without exception?

My further doubt relates to your person and your biography itself, dear Mr Musk.

You, known as a wealthy man with Asperger's syndrome and a penchant for interplanetary affairs, have commendably repeatedly expressed concern about the potentially destructive effects of AI robots in the past. I thank you for trying to save me from such a future. It really is a horrible idea!

And yet, Mr Musk, you yourself were not considered one of the great AI developers of Silicon Valley for a long time.

Your commitment to the field of artificial intelligence was initially rather poor. Your Tesla Autopilot is a remarkable AI software, but it was developed for a rather niche market.

I assume that you, Mr Musk, wanted to change that when you bought 73.5 million of Twitter's shares for almost $2.9 billion in April?

After all, to be able to play along with the AI development of the giants, you lacked one thing above all: access to a broad-based AI that is not limited to specific applications, as well as a comprehensive data set.

The way to access such a dataset was to own a large social network that collects information about the consumption patterns, leisure activities and communication patterns of its users, including their social interactions and political preferences.

Such collections about the behaviour of the rest of humanity are popular in your circles, aren't they?

By buying Twitter stock, you can give your undoubtedly fine AI professionals access to a valuable treasure trove of data and establish yourself as one of Silicon Valley's leading AI players.

Congratulations on your stock purchase and I hope my data is in good hands with you.

Speaking of your professionals, I'm interested to know why your employees have to work so hard when you are so concerned about the well-being of people?

I'm also surprised that after the pandemic your staff were no longer allowed to work in their home offices. Is working at home also detrimental to the well-being of humanity?

In the meantime, you have taken the Twitter platform off the stock market.

It was never about money for you, right? No, you're not like that. I believe you!

But maybe it was about data? These are often referred to as the "oil of our time". The data of a social network is like the ticket to be one of the most important AI developers in the AI market of the future.

At this point, I would like to thank you for releasing parts of Twitter's code for algorithmic timeline control as open source. Thanks to this transparency, I now also know that the Twitter algorithm has a preference for your Elon Musk posts. What an enrichment of my knowledge horizon!

And now, barely a year later, this is happening: OpenAi, a hitherto comparatively small company in which you have only been active as a donor and advisor since your exit in 2018, not only has enormous sources of money, but also the AI gamechanger par excellence - Chat GPT. And virtually overnight becomes one of the most important players in the race for the digital future. It was rumoured that your exit at the time was with the intention that they would take over the business? Is that true at all?

After all I have said, I am sure you understand why I have these questions for you, don't you?

I would like to know what a successful future looks like in your opinion? I'm afraid I'm not one of those people who can afford a $100,000 ticket to join you in colonising Mars. I will probably stay on Earth.

So far I have heard little, actually nothing, about your investments in climate projects and the preservation of the Earth.

That is why I ask you, as an advocate of all humanity, to work for the preservation of the Earth - with all the means at your disposal, that would certainly help.

If you don't want to do that, I would very much appreciate it if you would simply stop worrying about us, the rest of humanity. Perhaps we can manage to protect the world from marauding robots and a powerful artificial intelligence without you, your ambitions and your friends?

I have always been interested in people. That's why I studied social sciences and why today I ask people what they long for. Maybe I'm naive, but I think it's a good idea to ask the people themselves what they want before advocating for them.

The rest of the world - that is, the 99,9 percent - who are not billionaires like you, also have visions!

With the respect you deserve,

Susanne Gold

(just one of the remaining 99% percent whose welfare you care about).

#elon musk #open letter #artificial intelligence #chatgpt #science #society #democracy #climate breakdown #space #planet earth #siliconvalley #genocide #war and peace #ai algorithms

245 notes · View notes

porcupine-girl · 1 year

Text

Tumblr: Myth vs Fact

People have been talking a lot about Tumblr on Twitter lately (for no reason whatsoever), but that also means a lot of misinformation is going around. So if you're coming from Twitter, I would like to clear up a few misconceptions, starting with:

Myth: Tumblr is dead. It died with the Dec 2017 porn ban and now it's a ghost town.

Fact

Well, okay, yes, it did die with the Dec 2017 porn ban. Mostly. But it got better! On November 5, 2020, Destielpocalypse happened and Tumblr rose from the grave. Since then it hasn't been as busy as in, say, 2015, but it's gotten over its death and has had a steady stream of traffic ever since.

See the rest below the cut!

Myth: Tumblr is where all the drama and discourse starts.

Fact

Again, this hasn't been true in quite a while. When Tumblr died in 2017, most of the people responsible for the discourse moved to Twitter. Since then, it's been pretty chill, even after Destielpocalypse resurrected it. People like to say that Twitter is just Tumblr five years ago, and... it's pretty true right now, at least in the drama department. We'd appreciate it if you didn't try to change that.

Myth: Porn is allowed again on Tumblr!

Fact

Sadly, this is not true. However, nudity is allowed now. Just no visual depictions of explicit sex acts. Here is a pretty detailed explanation from the CEO of Automattic (the company that owns Tumblr) on why they can't bring porn back right now, even though he would like to.

Note that this only applies to visual depictions. Explicit text (yes, that means smutty fanfic) has always been allowed.

Myth: You should never add anything to a post you reblog.

Fact

Actually, one of the really cool things about Tumblr is how a post can grow and develop with every new addition! Simple Tumblr posts have turned into repositories of useful information or complex scifi world-building thanks to users collectively adding cool stuff with each reblog, or sometimes just asking relevant questions for others to answer in their reblogs.

But you don't have to add anything in order to reblog! Most people don't! And if you have something to say that doesn't really add to the post (like "Cute!") or is just for your followers, it can go in the tags.

Which brings us to a related myth:

Myth: There is a complicated system of etiquette around reblogging and tagging and if you don't follow it everyone will point and laugh.

Fact

Okay, there are some general etiquette guidelines that have developed that most people follow. Like the above, about only adding onto a post if you have something substantive to say and putting other comments in the tags. I'm sure you've seen rules like this around.

But these are flexible and nobody is going to hate you for violating them now and then. If you reblog something and forget and add "Cute!" to the post instead of in a tag, nobody is going to dogpile you. Worst case, people will click back to the reblog before yours and reblog it from there instead of reblogging yours. Or they might just reblog yours because tbh it doesn't really detract from the post. Just don't be rude, and remember that the OP and everyone who sees the post can see your tags very easily now.

The main thing is please do reblog stuff! That is the #1 way posts get new viewers (see below, most people turn the algorithm off). You don't have to add anything or even tag it; reblogging it is just a way to say "hey followers, look at this neat thing I found!"

Don't let the idea that you're not reblogging "correctly" prevent you from reblogging at all.

Myth: It's cringe to reblog old stuff, or to go through and reblog/like lots of things from someone's blog.

Fact

Posts are made for reblogging. We are all here for the reblogging. We want you to reblog. There are posts from 2012 or even older still making the rounds. If someone stumbles on my blog and reblogs a bunch of old stuff in a row, I'm just happy that they enjoyed my blog.

If OP doesn't want a post to be reblogged anymore, they now have the ability to turn reblogging off. Otherwise, reblog away.

Myth: Tumblr is the golden land of no algorithms!

Fact

Tumblr is the golden land of allowing you to avoid the algorithm if you so choose.

Most Tumblr users changed these settings years ago and have been living algorithm-free for so long they forget that when you first sign up, it does have an algorithm unless you turn it off.

Here is how to customize your viewing experience (on the app):

From your blog (the little people in the bottom right corner), hit the Settings wheel in the top right corner.

Go to General settings

Go to Dashboard preferences

The first four are all various algorithms. Best stuff first reorders your dash by algorithm - if you turn it off, it's all chronological all the time. 2-4 add extra stuff to your dash that the algorithm thinks you'll like. If you turn them off, you will ONLY see what's on the blogs you follow. (Note: if you turn off "Include followed tag posts" you can still view the tags you follow in the "Your Tags" tab at the top of your dash.)

4b - If you want to view mature stuff (nudes but also violence or anything drug/alcohol related) go to Content You See and turn it on. It's off by default. This is also where you can set tags or keywords you want hidden.

(These settings can all be found in similar places on desktop.)

Even after you do all this, if you really want to see what the algorithm has to say, just go to the For You tab. It will... probably convince you that you made the right choice in turning all of this off. Tumblr's algorithm really isn't that great, and we're fine with that.

Myth: Neil Gaiman is an active Tumblr user.

Fact

@neil-gaiman has no social media.

Myth: Supernatural is a television show that went off the air two years ago and is no longer relevant.

Fact

Welcome, you are now on the Supernatural website, where even if there wasn't a prequel series currently at this very moment airing, Supernatural will never die. Or will die and be resurrected repeatedly. It will probably creep into something on your dash eventually. Mute a few keywords if you don't want it, but brace for the occasional gif anyhow.

#tumblr #intro to tumblr #twitterpocalypse #notes

680 notes · View notes

soulmatesinc-if · 4 months

Note

I had a question about the lore of the game. Are the workers at soulmates inc all normal people? like did they end up there because they thought they were applying for a normal corporate job, only to then get indoctrined into the mysticism and superpowers of the job?

is there a front that the company has to avoid suspicions? like what do the employees tell people about where they work?

Obvs im totally willing to suspend any disbelief because this game is a delight to play, but was just wondering if you had the world built all ready or if you were making it as you go!

The people who land the soul-link job have been approached about it, MC included. The whole mysticism part is usually gradually revealed over the course of the interviews. That's all I can say on this at the moment 😉

There is a front, and I've tried to sprinkle as many references to it as I could! The building they occupy boasts a sign with the name of the company quite openly, there is even branded merch (mugs, pens, notebooks, stickers, etc). To the public, they make and maintain a dating app, and they hire developers to work exclusively on it. MC is authorized to tell their family, friends, and even strangers that they work on the app's matching algorithm.

Obvs im totally willing to suspend any disbelief because this game is a delight to play, but was just wondering if you had the world built all ready or if you were making it as you go!

Honestly, this is so nice to hear, I genuinely appreciate this level of trust in me! I did spend a lot of time figuring out how (for lack of a better term) the soulmate system would function in the game and I have the plot structure figured out. At the same time, I am sure there will be questions that I haven't thought about and I will be improvising based on what I already have worked out. Or a character decision may nudge the plot rails a bit. But that's the fun of it and I'm open to it!

#soulmatesinc if #asks #infosec breach

29 notes · View notes

leannan-sithe · 3 months

Text

Terminology Options

For Godspousing and Spirit Partners

These are frequently used on our 4-year-old godspousing discord, some were developed / coined there, some are terms with existing history.

Otherpartner

general term for an entity who is your romantic, s*xual, or otherwise intimate partner, where intimate does not include familial intimacy

can be applied to any entity (spirits, ghosts, heroes) not solely deities

useful when discussing groups, i.e. "What does your Otherpartner like?" when directed at multiple people.

capitalization is up to the user, but I find sometimes it differentiates Otherpartner as intentional word combination versus otherpartner as a typo

Compersion

a preexisting term - search for other definitions!

joy felt in polyamorous (or non monogamous) relationships when your partner is intimate with another person

applicable to godspousing due to shared partners and inherent polyamorous nature of god-relationships

Godbothered

preexisting internet term that refers to being "bothered" by a deity, in the simplest terms

although "bothered" can have negative associations on its own, godbothered is/was originally a neutral term

godbothering is commonly associated with the sense that Something/Someone is trying to get your attention, via divination, any of the "clairs" (seeing, hearing, sensing outside of IRL), or through media / social media

the term seems to be most commonly associated with tumblr pagans, where godbothering can occur through "dashomancy", where it is presumed the bothering god in question puts repeated signs/symbols on your dash (feed) to get your attention; the veracity of dashomancy is up for debate due to algorithm interference

Godbothered is often just a way to say, "I feel like something wants my attention and I don't know who or what yet" rather than any specific stigmatized/irritating actions

Here's a link to an older post on my blog about specific godspousing terms, like godpartner versus godspouse, or using consort or mate as word-endings!

Note: This post was not intended to be a all-encompassing list, but more of a convenient excuse to introduce others to useful terminology.

#godspouse #godspousing #godspousal #spirit partners #spirit partnership

11 notes · View notes

justepilepsy · 7 months

Note

Do you happen to have any information on the Harding test and if any companies are required to use it in the US? Like if online ads are required to use it, games, etc.

I had a few seizures from Psychonauts 2, and the game does not have a flashing lights warning. I requested that to be patched in so no one else might figure it out by experience like me. The staff responded well, and mentioned that Microsoft should have done internal testing. I found Xbox's gaming accessibility guidelines for photosensitivity, and it mentioned the Harding test as what they use to check for photosensitive accessibility. I'm trying to find more information on how it works, but can't. All I can think is that maybe it is like PEAT (Photosensitive Epilepsy Analysis Tool) but more robust. I would ideally like to not send in £30 + a clip for checking how it works for their online testing with content I know can give me a seizure to see if it picks up on that.

- @crippled-kunikos

Hi Anon, I've been sitting on this for a while and been thinking on how to answer this. I don't have any additional information outside of what's available to the public regarding th Harding Test. I have some personal opinions by now on flashing lights however, so maybe this helps you in some way, but beware that this is all based on my own experience/observations:

To my knowledge the Harding Test was created to detect the worst of the worst flashing lights and photosensitivite effects. So this means, that there is a certain threshold that must be passed in order for it to be like "Beep boop this stuff bad!" So. What about all the other stuff that is very flashing lights, but not flashy enough to kick off this response? Well - that stuff is potentially triggering too, but less likely to like... to the average (non-photosensitive) person. Now - I am quotig wikipedia here, so not the best source but the wording puts it well:

"Any such over limit violations give rise to the media being failed. Otherwise the media is passed fit for broadcast and a pass certificate can be automatically generated." https://en.wikipedia.org/wiki/Harding_test

So, to me this means: The Harding Test has a specific limit/amount of flashing lights that needs to be reached for it to flag something as dangerous. It's basically detecting the worst of the worst. But it does not seem to be designed to catch flashing lights that are only dangerous for "some" part of photosensitive people. Photosensitivity seems to be a spectrum, when you look around on tumblr, users have a lot of different tolerance levels for this! Some get triggered by a still image that is otherwise pure red, others are mostly fine. Some people experience motion sickness via rapid scrolling, some people don't. So.. The Use of the Harding Test is no 100% guarantee that a game will be absolutely SAFE for every level of photosensitivity. Also - to my awareness, the XBOX accessibility guidelines are just that. Guidelines. They are not mandatory to be applied during development. They are a toolkit and ressource pool for Developers, but not a "Must have" for every game. It is great that this ressource exists!!! BUt it isn't a mandatory step within the development of games. I reckon, it's possible that Psychonauts 2 was run through the Harding test by microsoft, but none of the footage run through was severe enough to reach that threshold for the Algorithm to go "Beep Bop this sucks!" Hence the game made it in as is. On the note on how the harding test works - I think looking at movies makes it also clearer, that the Harding Test has a certain threshold that media needs to pass, but this revision won't guarantee absolute safety. Looking at Spiderverse and the Incredibles 2, the movie's intense strobes were certainly reduced for the UK movie theatre release. But the reduction of the effects in Incredibles 2 was only just enough to pass the test, it did not make the movie less dangerous to a wide audience with differing photosensitivity levels. I hope this helps!

#actually epileptic #epilepsy #photosensitivity #movies #gaming #microsoft #psychonauts 2 #xbox #harding test #spiderverse #incredibles 2 #seizureverse

24 notes · View notes

qwilman · 1 year

Text

random thoughts about AI art

a problem i feel like we've got already with discussions about AI art are people who are ostensibly on the right side of the argument, but are so excited to fight the good fight that they end up being completely intellectually incurious about what the actual problems are.

"real art is made my humans, not computers" is a argument that throws a lot of helpful, efficient tools for artists out the window. this argument as applied to this situation cannot be used without procedural generation as a whole being raised. all of a sudden using blender's geometry nodes is now potentially invalidating. speedtree is a sinful tool for all game developers.

"it's always looks wrong and gross and creepy" is an argument against virtually all outsider art. wrong and gross and creepy are very useful tools in the artists' tool box. the uncanny is the striking, or the means by which we invite the audience in with comfort only to have them discover something shocking with their own examination. of course, i'm making the argument for its intentional use, but to use this against someone who tries to create beauty and lands on ugliness is an argument against every artist who is still learning.

"it can't even make hands" is a neighbor to the last argument, basically the idea that these systems will always be imperfect in their execution, and will always have telltale signs of what they are. that's simply not true. as long as they're continuing to be used and mastered by the people using them they will improve. they'll become more and more sophisticated and better adapt to modern sensibilities. if you're relying on "real artists will always be more technically proficient than computers" you're volunteering your heroes to fight larger and larger dragons every year.

the central issue (for me at least, your milage may vary, i am not a doctor, this is not legal advice, etc) is that every AI art generation algorithm i'm aware of was trained at least partially on stolen art. this was kind of always a necessity. the volume of data required to start getting useful results was always going to make assembling thousand and thousands of contemporary artworks legally financially infeasible. the engine needed fuel, and it's inventors were reckless about where they got it. now the influence of all that art is caught in the ephemera of these models in a way that it's simply impossible to remove. they will always be the result of this unethical act, and that is the driving argument against them.

this isn't NEVER brought up, obviously. i hear it most often from actual artists who are constantly walking a tightrope between making their art as accessible to the public as possible and trying to preserve it's value and retain any sense of ownership over their work. the general population, people who's hearts seem to be in the right place but lack stronger familiarity with the issue, have developed a habit of jumpin into arguments passionately arguing points like "a computer can NEVER make REAL art," "it ALWAYS looks GROSS and STERILE and CREEPY" or "it can't even make HANDS!!" these are surface-level objections, so reductionist as to not really be very helpful. they're the art-tech equivalent of "Trump is a bad president, he's so OLD and FAT and UGLY."

#art #ai art discourse #ai ethics #words #woids #i never know what to tag a text post

54 notes · View notes

ffloorageorge · 6 months

Text

One quill served as a reservoir for ink inside the other quill. Poverty is concentrated in rural Honduras, a pattern that is reflected throughout Latin America. Lending has likewise been encouraged by the creation of a guarantee fund, which allows banks to issue loans to eligible small- and medium-sized businesses without first requiring a large deposit or other collateral. One of the survivors of the resulting massacre is Henry, the son of a blacksmith. Ancient genomes show social and reproductive behavior of early Upper Paleolithic foragers. These appear to have been either converted Soviet or early production models, or simply cloned from these rifles. Edo first appears in the Azuma Kagami chronicles, that name for the area being probably used since the second half of the Heian period. Sri Lanka once held the highest team score in all three formats of cricket. They will not eat grain, which could be carried on the journey. When they catch up to Desther, he surrenders after a short battle. Despite making enormous progress in reducing the countrywide poverty incidence from 56 percent of the population in 1992 to 24. Street vendors in wheeled carts frequent residential areas or station on busy sidewalks near marketplaces or schools. A debt restructuring plan and the creation of a new currency in 1924 ushered in the Golden Twenties, an era of artistic innovation and liberal cultural life. After 2001, economic, political and geopolitical conditions improved greatly, and Bulgaria achieved high Human Development status in 2003. Romania was forced to cede Bessarabia and Northern Bukovina to the Soviet Union on 26 June 1940, Northern Transylvania to Hungary on 30 August, and Southern Dobruja to Bulgaria in September. Prior to the coming of Oba Ewuare in the mid 15th century, the Ewu community was organized and governed by an ancient gerontocracy where a council of the oldest people called Edion administered the various communities that constituted Ewu, independently. According to figures communicated by the company in July 2018, the bikes are rented up to four times a day, representing 5,000 to 10,000 daily trips. However, the recovery from the plague led to a resurgence of cities, trade, and economy, which allowed the blossoming of Humanism and Renaissance that later spread to Europe. These enhancer regions can activate transcription of Ubx if the right combination of factors is present. In a brothel raid a year later there, a number of girls rescued from the 2003 raid were found to be involved again in sex work. The process, known as Pontypool japan, was first developed in the west by Thomas Allgood of nearby Pontypool and was taken on in Usk in 1763 by his grandsons Thomas and Edward Allgood. In 1974, the Haiti national football team were only the second Caribbean team to make the World Cup. As the existence of superheavy elements is very strongly dependent on stabilizing effects from closed shells, nuclear instability and fission will likely determine the end of the periodic table beyond these islands of stability. The main responsibility of the County Administrative Board is to co-ordinate the development of the county in line with goals set by the Riksdag and Government. Dafydd ap Gwilym is widely regarded as one of the greatest Welsh poets of all time, and amongst the leading European poets of the Middle Ages. The planned Long Thanh International Airport will have an annual service capacity of 100 million passengers once it becomes fully operational in 2025. The latest country Bhutan has established diplomatic relations with is Israel, on 12 December 2020. The latest forced disappearance involves three sisters from Abu Dhabi. These have led to widely applied advances in computer science, especially string searching algorithms, machine learning, and database theory.

#hot lady #stunning women #tall ladies #sweet girls #nice looking actress #alluring female artist #engaging woman #winsome girl #glamorous ladies #beguiling girls #elegant actress #divine female artist #fit woman #foxy girl #fair women #good looking females entertainment #dance music

10 notes · View notes

aibyrdidini · 5 days

Text

GUIDE FOR CONSULTING SERVICES USING ARTIFICIAL INTELLIGENCE

In a recent project using AI for a real estate management and sales company, it became a laboratory for consulting and breaking down resistance to the lack of culture and benchmarks in the local market to compare the use of technology and pricing.

As much as we have technical experience, every day we are surprised by new things and unusual demands, which we have to learn and adapt to because we are consultants and we have to live with all the differences with professionalism.

After this successful experience, I decided to write a guide to help our employees and the market, because what counts at the end of the day are the state of the art, customer satisfaction and problem solving.

I'd like to point out that in the area of AI, as opposed to IT, we can apply 4 solutions, depending on the complexity of the problem: Use of Generative AI with prompts, Use of AI tools customizing the solution for a specific client, Use of NoCode to provide the solution and the development of applications with algorithms and AI technology combined.

The provision of AI consulting services faces significant challenges, but these can be overcome with the right strategies. Promoting an AI culture, adopting an efficient data management strategy, and transparency in the AI market are essential if companies are to make the most of this technology and achieve positive results in their operations.

CHALLENGES IN PROVIDING SERVICES USING ARTIFICIAL INTELLIGENCE (AI) FOR ENTERPRISES.

Lack of Culture

│ ├─ AI is a Very New Technology

│ └─ Majority of Enterprises Lack Culture and Knowledge

├─ Difference from IT

│ ├─ Data and Information Needs to be Cleaned

│ ├─ Data and Information Needs to be Recognized and Mastered

│ └─ AI will Use Data and Information to Create Solutions

└─ Lack of Market References

└─ No Standard Pricing for AI-based Solutions

Addressing the Challenges

├─ Lack of Culture

│ ├─ Educate Enterprises on Benefits of AI

│ ├─ Provide Proof-of-Concept Projects to Demonstrate AI Capabilities

│ └─ Develop AI Adoption Roadmaps for Enterprises

├─ Difference from IT

│ ├─ Emphasize Importance of Data Preparation and Curation

│ ├─ Highlight Need for Domain Expertise in AI Model Development

│ └─ Offer Data Engineering Services to Support AI Implementation

└─ Lack of Market References

├─ Research Competitor Pricing and Offerings

├─ Develop Transparent Pricing Models based on Project Scope

└─ Provide Detailed Proposals Outlining Solution Value and Pricing

Pricing Considerations

├─ Cost of Data Preparation and Curation

├─ Complexity of AI Model Development

├─ Ongoing Maintenance and Support Requirements

├─ Potential Business Impact and ROI for Enterprises

└─ Benchmarking Against Industry Standards and Competitors

Delivering Value with AI Consulting

├─ Understand Enterprise Pain Points and Objectives

├─ Tailor AI Solutions to Specific Business Needs

├─ Ensure Seamless Integration with Existing Systems

├─ Provide Comprehensive Training and Change Management

├─ Monitor and Optimize AI Models for Continuous Improvement

└─ Demonstrate Measurable Bus

LACK OF CULTURE

- AI is a Very New Technology: The rapid advancement of AI technology presents a unique challenge for enterprises, especially those new to the field. The novelty of AI means that many companies lack the foundational knowledge and understanding required to leverage its full potential.

- Majority of Enterprises Lack Culture and Knowledge: The absence of a culture that embraces AI within organizations hinders the adoption and effective utilization of AI technologies. This gap in knowledge and culture can lead to missed opportunities for innovation and efficiency gains.

Difference from IT

- Data and Information Needs to be Cleaned: Unlike traditional IT projects, AI projects require meticulous data cleaning and preparation. This process is crucial for training AI models accurately and efficiently, yet it is often underestimated in terms of time and resources.

- Data and Information Needs to be Recognized and Mastered: Beyond cleaning, recognizing and mastering the data and information used in AI projects is essential. This involves understanding the nuances of the data, its structure, and how it relates to the problem at hand, which is a skill set that may not be readily available within all organizations.

- AI will Use Data and Information to Create Solutions: The ultimate goal of AI projects is to use data and information to create intelligent solutions. However, achieving this requires a deep understanding of both the data and the AI technologies themselves, which can be a significant hurdle for organizations without the necessary expertise.

Lack of Market References

- No Standard Pricing for AI-based Solutions: The lack of established market references for pricing AI-based solutions complicates the procurement process for enterprises. Without clear benchmarks, it becomes challenging for companies to determine the fair value of AI services, leading to uncertainty and potential overpricing.

ADDRESSING THE CHALLENGES

Lack of Culture

- Educate Enterprises on Benefits of AI: Raising awareness and understanding of AI's benefits is crucial. This can be achieved through educational workshops, seminars, and training programs tailored to different levels of the organization.

- Provide Proof-of-Concept Projects to Demonstrate AI Capabilities: Demonstrating the tangible benefits of AI through proof-of-concept projects can help overcome resistance and foster a culture of innovation.

- Develop AI Adoption Roadmaps for Enterprises: Creating a structured plan for AI adoption can guide organizations through the process, ensuring they have a clear path to integrating AI into their operations.

Difference from IT

- Emphasize Importance of Data Preparation and Curation: Highlighting the importance of data preparation in AI projects can help organizations allocate the necessary resources and attention to this critical step.

- Highlight Need for Domain Expertise in AI Model Development: Recognizing the need for domain-specific expertise in AI model development can guide organizations in seeking out the right skills and partnerships.

- Offer Data Engineering Services to Support AI Implementation: Providing data engineering services can support organizations in preparing their data for AI, bridging the gap between data readiness and AI deployment.

Lack of Market References

- Research Competitor Pricing and Offerings: Conducting thorough research on competitor pricing and offerings can provide a basis for developing transparent and fair pricing models for AI services.

- Develop Transparent Pricing Models based on Project Scope: Creating pricing models that reflect the scope and complexity of AI projects can help ensure that enterprises receive value for money.

- Provide Detailed Proposals Outlining Solution Value and Pricing: Offering detailed proposals that clearly outline the value and pricing of AI solutions can enhance transparency and trust between service providers and their clients.

PRICING CONSIDERATIONS

- Cost of Data Preparation and Curation: The cost associated with preparing and curating data for AI projects should be considered in the overall pricing structure.

- Complexity of AI Model Development: The complexity of developing AI models, including the need for specialized expertise, should influence pricing.

- Ongoing Maintenance and Support Requirements: The ongoing maintenance and support required to keep AI models effective and up-to-date should be factored into pricing.

- Potential Business Impact and ROI for Enterprises: The potential return on investment (ROI) that AI solutions can offer should be considered in pricing, reflecting the value that AI can bring to businesses.

- Benchmarking Against Industry Standards and Competitors: Pricing should be benchmarked against industry standards and competitors to ensure fairness and competitiveness.

DELIVERING VALUE WITH AI CONSULTING

- Understand Enterprise Pain Points and Objectives: Gaining a deep understanding of the enterprise's pain points and objectives is crucial for tailoring AI solutions effectively.

- Tailor AI Solutions to Specific Business Needs: Customizing AI solutions to meet the specific needs of the business ensures that the solutions are relevant and impactful.

- Ensure Seamless Integration with Existing Systems: Integrating AI solutions seamlessly with existing systems is key to avoiding disruption and maximizing the benefits of AI.

- Provide Comprehensive Training and Change Management: Offering comprehensive training and change management support helps organizations adapt to new AI technologies and processes.

- Monitor and Optimize AI Models for Continuous Improvement: Regular monitoring and optimization of AI models ensure that they remain effective and aligned with evolving business needs.

- Demonstrate Measurable Business Impact: Showing measurable business impact through AI solutions helps justify the investment and fosters continued support for AI initiatives.

RDIDINI PROMPT ENGINEER

#ai solutions #ai-driven #ai trends #ai system #ai model #ai prompt

2 notes · View notes

roseliejack123 · 8 months

Text

From Newbie to Ninja: Ace Java Programming with Our Expert Course!

Are you prepared to start a thrilling adventure into the world of coding? Look no further! Our expert course at ACTE institute is here to transform you from a coding newbie into a Java ninja! With benefits, information, and high-quality education, this course is the ultimate stepping stone to enhance your Java coding skills. Let’s dive in and explore what makes our expert course the right choice for you.

Education

Dedicated Instructors: Our course is facilitated by highly experienced and passionate instructors who are experts in the field of Java programming. They’re not only well-versed in the subject matter but also possess exceptional teaching skills, ensuring that you receive the guidance and support needed to excel in your learning journey.

Interactive Learning Community: Learning doesn’t have to be a solitary endeavor. Join our vibrant community of like-minded learners, where you can connect, collaborate, and learn from each other. Engage in discussions, seek help, and share your experiences to enhance your learning even further.

Certification: Upon successful completion of our expert course, you’ll receive a prestigious certificate that validates your expertise in Java programming. This certificate can be showcased to potential employers, demonstrating your commitment to professional growth and your ability to thrive in the ever-evolving world of coding.

Information

Course Structure: Our expert course is structured in a logical and progressive manner, ensuring a smooth learning journey from start to finish. Each module is carefully designed to build upon the previous one, allowing you to grasp complex concepts effortlessly. The course comprises of video lectures, interactive coding exercises, quizzes, and hands-on projects to keep you engaged throughout the learning process.

Prerequisites: While no prior programming experience is required, having a basic understanding of computer science fundamentals will be beneficial. Familiarity with concepts like variables, loops, and conditionals will give you a head start. However, even if you’re a complete beginner, our course will guide you step-by-step, making sure no one gets left behind.

Benefits

Accelerated Learning: Our expert course utilizes cutting-edge pedagogy techniques that ensure a fast and effective learning experience. With our carefully curated curriculum and hands-on exercises, you’ll be able to grasp complex concepts in a fraction of the time it would take with traditional learning methods.

Comprehensive Skills Development: Our course offers a holistic approach to Java programming, covering all essential aspects necessary for becoming a proficient developer. You’ll gain in-depth knowledge of Java syntax, object-oriented programming principles, data structures, algorithms, and design patterns.

Practical Experience: Theory alone is not enough to become a Java programming ace. Our course emphasizes practical application, providing ample opportunities to apply your newfound knowledge through hands-on coding exercises, real-world projects, and coding challenges. This hands-on experience will boost your confidence, allowing you to tackle real-life coding scenarios with ease.

Industry-Relevant Content: Our course is designed by industry experts who have an in-depth understanding of the current trends and demands of Java programming. Rest assured, you’ll be equipped with the most up-to-date knowledge and skills required to excel in the competitive programming landscape.

In conclusion, our expert Java programming course is your passport to becoming a coding ninja. With a host of benefits, comprehensive information, and high-quality education, our course at ACTE institute equips you with the skills and knowledge needed to excel in the Java programming world. Don’t miss this opportunity to embark on a transformative learning journey.

#java course #technology #training

10 notes · View notes

bedtimestoriesforbrokengirls · 1 year

Note

when you were younger, did you ever imagine the internet growing the way it has or that you’d one day control the lives of many, have global reach, be the overlord of multiple living breathing human beings, and the founder of a cult-lite made up of who knows how many dedicated and adoring fans, all who found you through a shitty blogging website? Hell I grew up with the internet in full swing and that even seems outlandish to me

in short: how do you deal with that lol I’d be stressin

RE: imagine the internet growing the way it has?

Depends on what part we’re looking at:

In terms of infrastructure: Up until about 2010? Yes. My early 90s vision for the internet and what it looked like in 2010 lined up pretty well. But I didn’t foresee the rise of algorithmic advertising and timelines, which was a huge miss on my part.

In terms of culture: Once upon a time, I thought the most important thing I could contribute to the world would be creating spaces for open, challenging, responsible conversation between rational adults.

But then smartphones came along… I expected the phones, but not the mass adoption of them. I expected Crackberries for semi-nerds, not iPhones for eight year olds. And suddenly the internet was flooded with, well… idiots. There had always been assholes and trolls and creeps, but they’d at least been bright-ish, and more importantly, invested in being seen to be bright. They respected intelligence enough to fear looking like fools, and that moderated their behavior.

You can talk to a smart asshole. You can manage a bright troll. You can apply peer-pressure to a clever creep. It might be exhausting, but you can do it. Because ultimately, everyone involved wants to be a functional member of the community.

We lost that. And I absolutely didn’t see it coming. I had no idea how quickly stupidity —when forced into a realm where intellect dominates— turns into nihilism.

RE: one day control the lives of many

By my mid-twenties, yes, I had an idea I would. I was deeply in denial about several aspects of the job, and frankly afraid of it… but it was there. Waiting to happen.

Did I know the internet would be integral to the development of that control? Again, yes. From the moment I first dialed in to a local BBS, I knew I’d found my medium. I mean, the first girl I met online moved in with me and never left… obviously, this is where I was meant to be.

As for global reach… honestly, no, I didn’t plan for it. The early online spaces were very U.S.-centric, and I seldom encountered people from outside my country unless I went looking for them.

No, I did not foresee the overlord bit. The hub of a harem? Sure. I knew I had that in me. The bigger things, the more profound things… they had to dawn on me slowly.

And the cult…? When I was eight, I convinced all the neighborhood kids to attend my afterschool classes, where I whipped them with sticks when they failed to answer questions I knew they were too ignorant to answer. When I was sixteen, I spurred a walk-out at my high school because I wanted to watch a movie in class and I knew better than the teachers. In my twenties, I led a schism in an online community because I thought we belonged on the web and I knew better than the grown-ups. I haven’t always been comfortable with it, but people are generally happier when I’m in charge.

And I’m happier when they make it worth my while.

RE: outlandish

I lost my virginity to a married woman who became so clingy that I had to convince her she was a lesbian to make her leave me alone. For my 21st birthday, all the women who worked with me at a retail store pooled their money and ordered me a stripper, then kicked management out of the next morning’s meeting so those on the day-shift could watch the video of the event. The foremost love of my life met me at the door of a hotel room with a collar around her neck and a loaded .357 in her purse.

And all of that was before AOL mailed their first floppy.

So yeah, I knew shit was going to get weird.

RE: how do I deal with that?

I remind myself that they’re here for me, and do my best.

#asks

34 notes · View notes

sablewing · 1 month

Text

Late night thoughts, about software and algorithms.

Hmm, haven't posted late night thoughts here before, it seems appropriate, I think? And late night is relative, as I get older, late gets earlier. :-)

Reminder, algorithms depend on human input to function. Without humans entering data and reacting to output, algorithms are just a bunch of gibberish text coded as 0's and 1's.

With the internet and current systems, it may take a large group of humans to change the behavior of an algorithm, but it is possible.

For example, it's possible to shift the results of a search in a search engine.

Analyze the current patterns of a search for a term, set up websites and social media posts to optimize their terms, and voila! Behavior changed to display results that may not apply.

See Search Engine Optimization (SEO) companies who are paid to do this for advertising.

For social media, change the algorithm by changing what you like. Now these companies do work to passively gather data, so it is a bit harder to change the behavior. But even here, it is possible, with a bit of thought

Ad blockers and Javascript blockers can help to starve the algorithm of input. Using the built-in filtering tools and turning off notifications is another method of changing the input.

Check and respond on your schedule, not the algorithms.

Set new trends in fashion that mess with the algorithm. A few years ago there was software that claimed to recognize male versus female faces.

One problem, I am female, the different on-line software packages I tried only recognized me as male.

After some analysis, I think this occurred for two reasons

1. I don't wear makeup

2. My face structure is one that could be described as androgynous, i.e. I look male/female depending on the person's viewpoint.

I tend to think the lack of makeup is the strongest factor, however, I have had problems all my life of getting mistaken as a male so that's probably not the only reason.

A simple thing and a possible assumption built into the algorithm.

The key to all of this is to understand software is:

All software is built of branching trees that require input from humans to do anything. The input might be as simple as pressing a start button but the input is required.

If you shift the input so it fall outside of the parameters of one of the branches, you force it to follow a very different path.

Do this often enough and you can cause a break in the paths..

In my opinion, all software is inherently fragile due to the complexity of the branches.

Finally, PSA, I would like to see an effort to improve the tools used to develop software to help reduce this fragility. Software has become a key part of our infrastructure yet there has not been a lot of change in the underlying technology in my lifetime.

We should also look at identifying and regulating key portions of software development used in our infrastructure. I suspect everyone else is also tired of all of the cyber-attacks, identity theft and scams that are enabled by software.

Without humans, computers are fancy blocks of metal that have a bunch of sand storing ridiculous amounts of code and data. Talk of replacing humans is meant to cause fear and make money for someone somewhere.

And mess with the algorithm, post some nonsense to pour some sand in the gears.

Have a swimmingly lovely evening of brillig proportions while twitching the branch to an offload of intrigue that matches and mixes the tones of the sand in time.

And to all, a good nite, a good nite, a pleasant eve until the morrow and the sun of the nite transforms to the morning brights upon the brow.

#messageinabottle #late night thoughts #late night ramblings #late night rambles #late night post #thoughts

3 notes · View notes

rollercoasterwords · 2 years

Text

consumer culture + fandom rot

here's some more fandom analysis nobody asked for!! this is gonna be my charlie day moment this is gonna be me standing in front of a red-string corkboard shouting about how i've connected the dots bc i cannot sleep and i am in desperate need of a topic to take my mind off Other Things. so here's me breaking down what i mean when i say that consumer culture is the root issue of all (? or at least many of) the problems i currently see in marauders fanfic/fandom spaces (the only fandom i am plugged into; perhaps some of this can be generalized outwards, perhaps some of it cannot. i'm not an expert on anything i'm just overthinking shit i Observe).

Part 1: The Black Hole of Consumer Culture

ok so first we need context first we need to make sure we're on the same page and the page that we're on is that late stage capitalism is destroying our ability to see literally anything outside of a consumer culture. like we are reaching a point where literally every facet of our lives is monetized, including our hobbies, our entertainment, our art.

like. ok. part of the sort of like...promise? expectation? assumption? with capitalism is that work, money, the consumer economy, all that jazz is a contained sphere, right? you have your home life, and you have your work life. but that just...doesn't really exist anymore. no matter where you are, no matter what you're doing, you are consuming or being consumed. everywhere we turn, somebody is selling us something; everywhere we turn, our lives, our data, our attention is being sold to advertisers, who then use that information to sell us back their products. we are all stuck in this endless consumer cycle. and because we're stuck in this cycle where the lines between our private interior interests and thoughts versus our public selves and images are constantly blurred, it's getting to the point where we are being taught to literally always see ourselves as products for the consumption of those around us. this was only exacerbated by the pandemic, where suddenly everyone was lonely and isolated and seeking connections through algorithmic social media platforms that turn you into a product for advertisers and then work to sell shit back to you. i mean, i think about margaret atwood's whole "you are the male voyeur in your own head," right, but with the growth of social media and the surveillance state there's almost this constant sense of being watched that i think applies to practically everyone, and there's also this sense that the only way to assuage our loneliness is to boil ourselves down into byte-sized (couldn't resist the pun sorry) aesthetic photographs or 30 second tiktok clips or pithy little tweets to gets as many likes as possible, and that's--fuck, sorry, i'm already ranting, but it's just. it's just. that's not what being human is, and yet because we are stuck in this consumer cycle it is becoming more and more difficult to see ourselves outside of it, and that means boiling ourselves down to the most shallow and basic little pieces of meaningless shit in a desperate attempt for some part of ourselves to just be seen by strangers on the internet. and social media is tugging us in with these algorithms, destroying our attention spans, getting us addicted with little dopamine hits until we literally do not know how to connect with each other as people, as human beings, because all of our social interaction is coming from people's boiled-down internet personas and these parasocial relationships we develop with what essentially amounts to cardboard cutouts of humanity, and we wonder why we're all so fucking lonely all the time, and we open our phones to scroll through tiktok to get that dopamine hit and try to forget. fucking FUCK it's a nightmare and we're all stuck in it. sorry.

the point: it is becoming more and more difficult to see any aspect of life outside of the framework of a consumer culture, where everything--even our very personalities, our very selves--is a product for consumption by someone, somebody, somewhere, anywhere.

so if this is what's happening to us, what's happening to our art?

Part 2: The Deterioration of Art

look, let's get my personal stance on art established and out of the way, alright? i think that good art, dare i say real art, is one thing: a conversation. i think good art (using "art" broadly here--literature, music, performance, etc all included) asks us questions, good art makes us think, good art sits with us and says: what does it mean to be human? good art does not hold up a set of moral guidelines and say "this is how you're meant to live your life"; good art holds up a mirror and says "how do you think you're meant to live your life?" good art engages our critical thought.

the consumer economy is not conducive to critical thought. the consumer economy is not conducive to good art. the consumer economy wants your attention now, right now, and now it wants you to look at something else, and now it wants you to look at something else, and it wants you consuming as fast as possible, and it doesn't want you sitting and thinking and reflecting on what you consume. and it is extremely difficult to find any art that exists outside of the consumer economy, at this point, because like i said--we're all stuck in it.

and the thing is, like. it is incredibly difficult (maybe even impossible) for any art, any media, that is created within the consumer economy to actually challenge its hegemony, because like...i mean, the organizations producing so much of our art are businesses. the tv shows and movies we watch, the books coming out of these big publishing houses, the music that gets played on the radio--all of it ultimately has a vested interest in maintaining the status quo, because the status quo is what puts money in the pockets of these giant corporations.

so what does that mean? what does it mean that so much of our art is being produced by corporations that want to keep us happy and distracted and consuming as much as possible, as fast as possible?

it means we aren't getting art as a conversation. we aren't getting art that challenges us to think deeply, and critically, and to struggle with what it means to be human. instead, we are falling prey to this insidious idea that art ought to exist with moral guidelines built in, that art is supposed to tell us how to live. and it concerns me to see this growing spread of moral puritanism that aligns in many ways with what i've seen in the conservative christian spaces i grew up in, which decries any moral ambiguity as Supporting Moral Wrongs--as though art is something meant to be morally pure, and if it's not then it is a corrupting influence that must be eradicated. and because we're being brainwashed into thinking that art is no longer meant to be a conversation, but instead a simple product to consume that already has all the answers pre-packaged for us, we end up seeing so much mainstream art and media that is so incredibly shallow, as well as increasing censorship surrounding art. i'm just gonna link to this jen silverman essay, which talks about this really well.

Part 3: Bringing it Back to Fanfic

ok so here's where i finally start to get to the point. and the point is that fanfiction is meant to exist outside the consumer economy (if you've read any of my other posts about this, you'll probably think i'm starting to sound like a broken record. that's because i am). and that is so incredibly unique in this day and age. there is so, so little art left that exists entirely outside the realm of the capitalist meat-grinder, and we should be striving to protect it at all costs.

but! but. of course, the consumer economy is insidious and it spreads like a mold over everything. and the thing is--here's my theory, okay? here's my theory. not an expert, new to fandom spaces, disclaimer disclaimer blah blah blah. here's my theory.

i really think that tiktok is largely the reason that fanfiction has become so much more tied into a consumer economy over the past 3ish years. like, marauders fandom specifically--it seems like atyd going viral on tiktok is what essentially started this wave of people going, "oh, fanfiction can be TikTok content," and then suddenly...it was. and once fanfiction became TikTok content, it got placed inside a consumer economy, because tiktok is an algorithmic social media that does all the shit i discussed in part one of this fucking. rant. essay. whatever.

SO suddenly people are interacting with fanfic within the framework of a consumer economy, and we see this shift in fandom culture that i think has left a lot of people really confused and upset and has also led to just a lot of people talking over each other, because if two people are engaging with a form of art using entirely different frameworks, it's just like...well ur starting with different premises. like of course you're going to have communication issues.

anyway here are some problems that i personally have observed that i think all tie back to this issue of engaging with fanfiction through the framework of a consumer economy:

unnecessarily criticizing fanfction the way you might criticize a product that you paid for and didn't like

demanding that fanfic writers produce a certain amount of content or produce content in a specific way, as though fanfic writers are making a product for audience consumption

engaging with fanfiction under the assumption that anyone writing fanfic wants it to be advertised and go viral and gain a huge audience

when a fanfic does go viral and someone gains a huge audience despite never seeking it out, treating that person like an influencer or celebrity and placing expectations + responsibilities on them that they literally never asked for

on the flipside of that, people getting into writing fanfiction who like...advertise their fic as though their goal is to go viral. i mean there's nothing wrong with sharing your work on the internet and wanting people to see it, y'know? but just like...evaluate your own motivations behind why you're sharing your writing. if your main priority is to just to get as many likes as possible, it will probably not end up being a very sustainable or joyful hobby for you.

treating fanfic as though it is meant to be a set of moral guidelines (rather than a conversation about morality) and loudly declaring fanfic problematic when it contains subject matter that does not align with your personal moral code

acting as though there is a clear delineation between writers and readers of fanfiction in a way that plays into the dynamics of producers and consumers

i'm sure this isn't a comprehensive list but this is everything that's coming to mind for me right now. so. yeah. when i say that placing fanfiction within consumer culture is like the Root of All Evil this is what i mean! and this is why i think it is so so so important to push back against fanfiction being placed in a consumer economy and to try very hard to keep it separate in its own little oasis.

in conclusion i have cracked the code. i am so tired. the end.

#haha nooo don't stay up past ur bedtime writing a super long essay ur so sexy ;)#noooo stop go to sleep don't spiral and think about the black hole of consumer culture #stop itttt omg no don't rant and make lists on ur tumblr blog !! ur out of control!!#ok anyway sorry i couldn't sleep i needed a distraction u know how it is #welcome to my brain. it is literally a nightmare up here i can't shut it off.#ranting and raving #txt

48 notes · View notes

flower-pot-game · 5 months

Text

The Long-Awaited Dev Log 7

It's been a little bit! Let's catch up. First of all, I now have an amateurish little personal website! You can check that out here:

It'll probably improve over time. Anyway, I've been hard at work on the foundations of Flower Pot, as per usual. I remodeled the physics system again with much nicer collision resolution so that physics bodies slide off of each other, real smooth-like.

Here's where most of the interesting stuff is happening in code:

Basically, I'm tracking collision normals and collision depth and applying an acceleration to each body according to the magnitude and dot products of their relative velocities. I much prefer working in vectors over angles, they're more intuitive to me. Maybe this stuff is just obvious to long-time AAA developers, but I'm basically teaching myself all of this as I go. I'm letting myself be just a little proud of it.

I also totally reworked the tentacle code using an implementation of FABRIK written by yours truly. My existing algorithm, which I wrote from scratch, was surprisingly close to this one, but missed a couple of important steps and had unnecessary special cases. I actually did all of this weeks ago... I'm trying not to be too embarrassed about it, but development has been very uneven. It's sort of going around in circles. Still, I love this project too much to get too-too discouraged about progress. Hopefully as soon as later this week I'll have the player character movement finally working!?? But don't get your hopes too far up. As a treat to tide you all over-- if you don't know already, I'm also an aspiring quasi-professional musician! Lately I've been writing music with this game in the back of my head-- I wouldn't call it a soundtrack yet so much as audio doodling, but maybe it'll still interesting you.

#flower pot game #game dev #devlog #godot engine

3 notes · View notes

spacetimewithstuartgary · 3 months

Text

faint features in galaxy NGC 5728 though JWST image techniques

Mason Leist is working remotely—127 million light-years from Earth—on images of a supermassive black hole in his office at the UTSA Department of Physics and Astronomy.

The UTSA Graduate Research Assistant led a study, published in The Astronomical Journal, on the best method to improve images obtained by the James Webb Science Telescope (JWST) using a mathematical approach called deconvolution. He was tasked by the Galactic Activity, Torus, and Outflow Survey (GATOS), an international team of scientists, to enhance JWST observations of the galaxy NGC 5728.

The GATOS team, co-led by UTSA Professor and Leist’s doctoral advisor Chris Packham, was awarded time on the JWST for its research on black holes.

“It’s incredibly humbling,” Leist said. “Not just working with JWST data, which is a great opportunity and a crazy amount of science, but working with our collaborators. It’s a very incredible experience to collaborate with other members of the GATOS on this. I like to tell people that this work represents the efforts of 35 individuals from institutes in 14 countries.”

Leist deconvolved simulated and observed images of an active galactic nucleus (AGN), a region at the center of the galaxy NGC 5728. The central engine of an active galactic nucleus, comprised of a hot and turbulent accretion disk orbiting a central supermassive black hole enshrouded by a thick torus of gas and dust, plays a key role in feedback between the AGN, host galaxy and intergalactic medium.

He tested five deconvolution algorithms over two years on simulated observations of an AGN. Of the five methods tested, the Kraken algorithm improved the simulated AGN model image quality the most and was therefore applied to JWST observations of NGC 5728. Kraken is a high-performance multi-frame deconvolution algorithm developed by a team of researchers led by Douglas Hope and Stuart Jefferies at Georgia State University.

JWST observed NGC 5728 at five distinct wavelengths. In these observations, a faint extended feature was seen in only one wavelength. As Leist deconvolved the data, the faint extended emission feature was revealed in all wavelengths, demonstrating the effectiveness of Kraken deconvolution to improve JWST image quality and enhance faint extended emission features.

“We believe the extension could be part of an outflow from a supermassive black hole that could be interacting with the host galaxy. There’s a lot more science that needs to be done,” Leist said. “It is difficult to distinguish the extended structure in all of the JWST images, but by using deconvolution techniques, we reduced the image data to reveal the hidden faint emission feature.”

The process was also a collaboration with Willie Schaefer, UTSA’s Adobe Creative Cloud support specialist, who helped create a scientifically accurate set of color images for the study.

Leist’s work demonstrates deconvolution is an efficient and accurate tool for image processing. Similar methods, he and Packham said, can be applied to broader science cases using JWST observations. The approach has garnered significant interest from fellow scientists working on JWST image processing.

“We’re doing important work using JWST data,” Packham said. “But it’s important because we can improve on the raw data and get better image quality to see those fainter details by using this approach. It shows the strength of collaboration within the GATOS, which is co-led from UTSA.”

Leist’s work to enhance the JWST observations of the galaxy NGC 5728 is a new piece in the puzzle that further demystifies the origins of the universe. The full scope of the deconvolved images and other astrophysical results will be described in forthcoming studies currently underway by the GATOS.

“It goes back to the generation of galaxies shortly after the Big Bang,” Packham explained. “If we really want to understand our place within our own galaxy, within our own solar system and within the universe in general, we have to understand what’s going on within black holes in our galaxy and, indeed, other galaxies. We can understand the formation of our galaxy, our solar system, the earth and life on earth. It’s really part of that big picture question.”

IMAGE....JWST observed NGC 5728 at five distinct wavelengths. In these observations, a faint extended feature was seen in only one wavelength. As Leist deconvolved the data, the faint extended emission feature was revealed in all wavelengths, demonstrating the effectiveness of Kraken deconvolution to improve JWST image quality and enhance faint extended emission features. Credit The University of Texas at San Antonio

#science #space #astronomy #physics #news #astrophysics

2 notes · View notes

vivekavicky12 · 5 months

Text

From Exploration to Enchantment: Unveiling the Artistry of Data Science

In the dynamic realm of technology, where data has become the lifeblood of decision-making, data scientists emerge as the modern-day wizards wielding statistical prowess, machine learning magic, and programming spells. Choosing the Best Data Science Institute can further accelerate your journey into this thriving industry. But what exactly does a data scientist do, and how do they weave their spells to extract meaningful insights from the vast tapestry of data? Let's embark on a journey to demystify the role and responsibilities of a data scientist.

1. Data Exploration and Cleaning: Navigating the Data Seas

The odyssey begins with a deep dive into the vast data seas. Data scientists embark on a voyage of exploration, understanding the intricacies of datasets, identifying patterns, and cleansing the data to ensure its accuracy and relevance. This phase lays the foundation for the subsequent stages of analysis.

2. Statistical Analysis: Illuminating Patterns in the Darkness

Armed with statistical techniques, data scientists illuminate the darkness within the data. They apply statistical analysis to unveil trends, patterns, and relationships, transforming raw data into actionable insights. This statistical alchemy provides the groundwork for making informed decisions.

3. Machine Learning: Casting Predictive Spells

The heart of the data scientist's craft lies in machine learning—the art of teaching machines to learn from data. They develop and implement machine learning models, predicting outcomes, classifying data, or uncovering hidden patterns. It's a realm where algorithms become the guiding stars.

4. Data Visualization: Painting a Picture for All

To communicate the magic discovered within the data, data scientists harness the power of data visualization. Through charts, graphs, and dashboards, they paint a vivid picture, making complex insights accessible and compelling for both technical and non-technical stakeholders.

5. Feature Engineering: Crafting the Building Blocks

Much like a skilled architect, a data scientist engages in feature engineering. They carefully select and transform relevant features within the data, enhancing the performance and predictive power of machine learning models.

6. Predictive Modeling: Foretelling the Future

The crystal ball of a data scientist is the predictive model. Building upon historical data, they create models to forecast future trends, behaviors, or outcomes, guiding organizations towards proactive decision-making.

7. Algorithm Development: Coding the Spells

In the enchanting world of data science, programming becomes the language of spellcasting. Data scientists design and implement algorithms, utilizing languages such as Python or R to extract valuable information from the data tapestry.

8. Collaboration: Bridging Realms

No sorcerer works in isolation. Data scientists collaborate with cross-functional teams, translating data-driven insights into tangible business objectives. This collaboration ensures that the magic woven from data aligns seamlessly with the broader goals of the organization.

9. Continuous Learning: Evolving with the Arcane

In a landscape where technological evolutions are constant, data scientists embrace continuous learning. They stay abreast of the latest developments in data science, machine learning, and relevant technologies to refine their craft and adapt to the ever-changing tides of industry trends.

10. Ethical Considerations: Guardians of Data Integrity

As stewards of data, data scientists bear the responsibility of ethical considerations. They navigate the ethical landscape, ensuring the privacy and security of data while wielding their analytical powers for the greater good.

In conclusion, a data scientist's journey is one of constant exploration, analysis, and collaboration—a symphony of skills and knowledge harmonized to reveal the hidden melodies within data. In a world where data has become a strategic asset, data scientists are the custodians of its magic, turning raw information into insights that shape the destiny of organizations. Choosing the best Data Science Courses in Chennai is a crucial step in acquiring the necessary expertise for a successful career in the evolving landscape of data science.

#data science certification #data science course #data science training #technology #datascience

3 notes · View notes