#AI in learning

[elexuscal]

"what did students do before chatgpt?" well one time i forgot i had a history essay due at my 10am class the morning of so over the course of my 30 minute bus ride to school i awkwardly used by backpack as a desk, sped wrote the essay, and got an A on it.

six months later i re-read the essay prior to the final exam, went 'ohhhh yeah i remember this', got a question on that topic, and aced it.

point being that actually doing the work is how you learn the material and internalize it. ChatGPT can give you a short cut but it won't build you the the muscles.

[destiel-news-network]

(Source)

[inkskinned]

i love you vaccines i love you research i love you reading the book instead of having chatgpt summarize it i love you critically thinking rather than reacting to a headline i love you investigating the source material i love you science i love you math even though you are personally my enemy (math/yn slowburn) i love you writing even though you try to stab me a lot i love you Experts in Your Field i love you Using The Brain

[monsoon-of-art]

[learncontentwithai]

#Deep_Reinforcement_Learning

[almochtarak]

#Deep_Reinforcement_Learning

[0sbrain]

alternatives for ai to design ocs

hero forge

picrew

the fucking sims 4

your local furry artist

bitmoji

shitty photoshoped collage

DeviantArt bases

zepeto

making edits of your favorite character

searching "dress up game" on the app store

learning how to draw

[jamespotter7860]

Photon Insights: How AI is Redefining Data Visualization in Research

In a time when data is being generated at a rapid pace and the ability to visualize intricate information is essential for research across a variety of fields. Data visualization helps researchers analyze and present findings with greater ease by making complex data easy to comprehend and accessible. Photon Insights is leading the revolution in the field of visualization of data using the latest AI technologies that provide researchers with cutting-edge tools to improve their ability to analyse the data and communicate it. This article explains the ways in which AI transforms data visualization and the central part Photon Insights plays in this development.

The Importance of Data Visualization in Research

Data visualization is essential for a variety of reasons:

1. “Simplifying complex data Researchers are often faced with huge quantities of data. Effective visualization converts complex data into clear, concise representations, allowing users to gain insight quickly.

2. Identifying Trends and Patterns Visualizations are able to reveal trends as well as outliers, correlations and trends which are not apparent in the raw data. This is crucial for drawing meaningful conclusions as well as aiding in decision-making.

3. Improved Communication: Effectively designed visualizations present the findings to a larger public, even those with an academic background. This is crucial for involving the policymakers, stakeholders, and the general public.

4. Facilitating Collaboration Data visualizations are an unifying language for researchers from various fields, encouraging inter-disciplinary collaboration and dialog.

The Role of AI in Enhancing Data Visualization

Artificial Intelligence is revolutionizing data visualization through tools that automate, improve and create new ways in which data is displayed and interpreted. There are many ways AI can make a huge impact on data visualization:

1. Automated Data Processing

AI algorithms can cleanse and clean data, thereby cutting down on the time spent by researchers creating datasets for visualisation. This process ensures that data is reliable, accurate and is ready to be analyzed.

2. Intelligent Data Interpretation

AI-powered tools are able to analyze data and recommend the most effective visualization techniques based on fundamental characteristics of the data. This sophisticated interpretation aids researchers to choose the best charts or graphs to communicate their findings.

3. Enhanced Interactivity

AI allows the creation of interactive visualizations that permit users to look at data in a dynamic way. Researchers can design dashboards so that people can control variables and see various scenarios, increasing the level of engagement and understanding.

4. Predictive Visualization

With the help of analytic predictive capabilities, AI will be able to forecast the future developments and show potential outcomes based on data from the past. This ability allows researchers to make predictions based on data and plan in accordance with them.

5. Real-Time Data Visualization

AI provides real-time data visualization that allows researchers to make updates to their visualizations when new data is made available. This is essential in areas like finance, healthcare and social sciences, where quick insights can dramatically affect the results.

Photon Insights: Leading the Transformation

Photon Insights stands out as an innovator in the field of visualization of data through AI. The platform comes with a set of tools that are designed to improve researchers’ abilities to analyze visualize, communicate, and share their findings efficiently.

1. Comprehensive Data Integration

Photon Insights combines data from various sources which allows researchers to construct comprehensive visualizations that incorporate diverse data sets. This method of analysis is comprehensive, allowing users to study patterns and connections across different data points.

2. User-Friendly Interface

The platform comes with a user-friendly interface that makes it easy to navigate through the process of creating visuals. Researchers can drag and drop components, modify designs, and create visual outputs without requiring vast technical expertise.

3. Advanced AI Algorithms

Photon Insights employs cutting-edge AI algorithms to automate data processing and visual suggestions. This means that researchers will have less time to manage logistics, and spend more time analyzing and interpreting.

4. Interactive Dashboards

By using Photon Insights, researchers can develop interactive dashboards that permit users to interact with data actively. Interactivity encourages collaboration and increases stakeholder understanding and makes research findings more effective.

5. Customizable Reporting Tools

Photon Insights provides customizable reporting tools that allow researchers to modify their visuals to meet the needs of specific groups. This flexibility is crucial for effectively presenting complex findings to diverse people.

Case Studies: The Impact of AI-Driven Visualization

To show the potential transformative of AI in visualization of data, take a look at the following case studies that show how Photon Insights has had an important impact:

Case Study 1: Healthcare Research

In research in healthcare, visualizing patient data can help reveal important patterns in outbreaks of disease and treatment efficacy. Utilizing Photon Insights’s technology researchers were able to automate the review of patient data and create real-time dashboards which display the demographics of patients, their outcomes of treatment, and the prevalence of disease. The dashboards allowed healthcare providers to make fast, informed decisions which ultimately improved the quality of care for patients.

Case Study 2: Market Research

A marketing team that is analyzing the behavior of consumers, Photon Insights allowed for the integration of data from surveys and social media analytics, as well as sales data. The AI-driven platform suggested the best ways to display data, which resulted in interactive charts that revealed trends and preferences of consumers. This improved the ability of the team to plan and execute their marketing campaigns efficiently.

Case Study 3: Environmental Studies

In the field of environmental research, recognizing the complexity of data sets that are related to climate change is essential. Researchers employed Photon Insights to display large amounts of data on temperature fluctuations as well as carbon emissions and environmental impacts. The ability to predict visualizations enabled them to present possible future scenarios that could inform policymakers and encouraging the public to take climate change action.

“The Future of Data Visualization with AI

In the years ahead, as AI technologies continue to advance its influence on visualization of data will only grow. Certain trends will influence what the next phase of AI will look like:

1. Enhanced Personalization.

AI can provide more personalised visualizations that are tailored to particular audience requirements, increasing the user’s engagement and understanding.

2. Greater Accessibility: The latest developments in AI can allow data visualization tools to be accessible to those who don’t have expertise, while also making data interpretation more accessible across different disciplines.

3. Integration with Virtually as well as Augmented Reality: The application for VR as well as AR in visualization of data will provide the user with immersive experiences, and allow them engage with their data in different and creative ways.

4. Enhanced Collaboration.

AI will enable more robust collaboration among researchers from different disciplines, leading to deeper analysis and deeper insights.

Conclusion

AI is changing the face of research data visualization by enabling researchers to transform their data into compelling, clear visuals that aid in understanding and facilitate communication. Photon Insights is at the forefront of this change by providing tools that automate data processing, suggest efficient visualization methods and facilitate collaboration between researchers.

Through the use of AI technology, Photon Insights empowers researchers to present their research findings in an appealing and effective method. As the need for efficient visualization of data continues to increase platforms such as Photon Insights will play a significant part for shaping research’s future. They will make the findings more easily accessible and actionable to all those that are. The new era of visualization of data is underway and AI is driving the way.

[kylominis]

touchy feely mornings with mr. clingy [♡]

[eerieeccentrix]

Black Bat Flower

(tacca chantrieri)

[bitchesgetriches]

31% of employees are actively ‘sabotaging’ AI efforts. Here’s why

"In a new study, almost a third of respondents said they are refusing to use their company’s AI tools and apps. A few factors could be at play."

[river-taxbird]

AI hasn't improved in 18 months. It's likely that this is it. There is currently no evidence the capabilities of ChatGPT will ever improve. It's time for AI companies to put up or shut up.

I'm just re-iterating this excellent post from Ed Zitron, but it's not left my head since I read it and I want to share it. I'm also taking some talking points from Ed's other posts. So basically:

We keep hearing AI is going to get better and better, but these promises seem to be coming from a mix of companies engaging in wild speculation and lying.

Chatgpt, the industry leading large language model, has not materially improved in 18 months. For something that claims to be getting exponentially better, it sure is the same shit.

Hallucinations appear to be an inherent aspect of the technology. Since it's based on statistics and ai doesn't know anything, it can never know what is true. How could I possibly trust it to get any real work done if I can't rely on it's output? If I have to fact check everything it says I might as well do the work myself.

For "real" ai that does know what is true to exist, it would require us to discover new concepts in psychology, math, and computing, which open ai is not working on, and seemingly no other ai companies are either.

Open ai has already seemingly slurped up all the data from the open web already. Chatgpt 5 would take 5x more training data than chatgpt 4 to train. Where is this data coming from, exactly?

Since improvement appears to have ground to a halt, what if this is it? What if Chatgpt 4 is as good as LLMs can ever be? What use is it?

As Jim Covello, a leading semiconductor analyst at Goldman Sachs said (on page 10, and that's big finance so you know they only care about money): if tech companies are spending a trillion dollars to build up the infrastructure to support ai, what trillion dollar problem is it meant to solve? AI companies have a unique talent for burning venture capital and it's unclear if Open AI will be able to survive more than a few years unless everyone suddenly adopts it all at once. (Hey, didn't crypto and the metaverse also require spontaneous mass adoption to make sense?)

There is no problem that current ai is a solution to. Consumer tech is basically solved, normal people don't need more tech than a laptop and a smartphone. Big tech have run out of innovations, and they are desperately looking for the next thing to sell. It happened with the metaverse and it's happening again.

In summary:

Ai hasn't materially improved since the launch of Chatgpt4, which wasn't that big of an upgrade to 3.

There is currently no technological roadmap for ai to become better than it is. (As Jim Covello said on the Goldman Sachs report, the evolution of smartphones was openly planned years ahead of time.) The current problems are inherent to the current technology and nobody has indicated there is any way to solve them in the pipeline. We have likely reached the limits of what LLMs can do, and they still can't do much.

Don't believe AI companies when they say things are going to improve from where they are now before they provide evidence. It's time for the AI shills to put up, or shut up.

[inkskinned]

i have chronic pain. i am neurodivergent. i understand - deeply - the allure of a "quick fix" like AI. i also just grew up in a different time. we have been warned about this.

15 entire years ago i heard about this. in my forensics class in high school, we watched a documentary about how AI-based "crime solving" software was inevitably biased against people of color.

my teacher stressed that AI is like a book: when someone writes it, some part of the author will remain within the result. the internet existed but not as loudly at that point - we didn't know that AI would be able to teach itself off already-biased Reddit threads. i googled it: yes, this bias is still happening. yes, it's just as bad if not worse.

i can't actually stop you. if you wanna use ChatGPT to slide through your classes, that's on you. it's your money and it's your time. you will spend none of it thinking, you will learn nothing, and, in college, you will piss away hundreds of thousands of dollars. you will stand at the podium having done nothing, accomplished nothing. a cold and bitter pyrrhic victory.

i'm not even sure students actually read the essays or summaries or emails they have ChatGPT pump out. i think it just flows over them and they use the first answer they get. my brother teaches engineering - he recently got fifty-three copies of almost-the-exact-same lab reports. no one had even changed the wording.

and yes: AI itself (as a concept and practice) isn't always evil. there's AI that can help detect cancer, for example. and yet: when i ask my students if they'd be okay with a doctor that learned from AI, many of them balk. it is one thing if they don't read their engineering textbook or if they don't write the critical-thinking essay. it's another when it starts to affect them. they know it's wrong for AI to broad-spectrum deny insurance claims, but they swear their use of AI is different.

there's a strange desire to sort of divorce real-world AI malpractice over "personal use". for example, is it moral to use AI to write your cover letters? cover letters are essentially only templates, and besides: AI is going to be reading your job app, so isn't it kind of fair?

i recently found out that people use AI as a romantic or sexual partner. it seems like teenagers particularly enjoy this connection, and this is one of those "sticky" moments as a teacher. honestly - you can roast me for this - but if it was an actually-safe AI, i think teenagers exploring their sexuality with a fake partner is amazing. it prevents them from making permanent mistakes, it can teach them about their bodies and their desires, and it can help their confidence. but the problem is that it's not safe. there isn't a well-educated, sensitive AI specifically to help teens explore their hormones. it's just internet-fed cycle. who knows what they're learning. who knows what misinformation they're getting.

the most common pushback i get involves therapy. none of us have access to the therapist of our dreams - it's expensive, elusive, and involves an annoying amount of insurance claims. someone once asked me: are you going to be mad when AI saves someone's life?

therapists are not just trained on the book, they're trained on patient management and helping you see things you don't see yourself. part of it will involve discomfort. i don't know that AI is ever going to be able to analyze the words you feed it and answer with a mind towards the "whole person" writing those words. but also - if it keeps/kept you alive, i'm not a purist. i've done terrible things to myself when i was at rock bottom. in an emergency, we kind of forgive the seatbelt for leaving bruises. it's just that chat shouldn't be your only form of self-care and recovery.

and i worry that the influence chat has is expanding. more and more i see people use chat for the smallest, most easily-navigated situations. and i can't like, make you worry about that in your own life. i often think about how easy it was for social media to take over all my time - how i can't have a tiktok because i spend hours on it. i don't want that to happen with chat. i want to enjoy thinking. i want to enjoy writing. i want to be here. i've already really been struggling to put the phone down. this feels like another way to get you to pick the phone up.

the other day, i was frustrated by a book i was reading. it's far in the series and is about a character i resent. i googled if i had to read it, or if it was one of those "in between" books that don't actually affect the plot (you know, one of those ".5" books). someone said something that really stuck with me - theoretically you're reading this series for enjoyment, so while you don't actually have to read it, one would assume you want to read it.

i am watching a generation of people learn they don't have to read the thing in their hand. and it is kind of a strange sort of doom that comes over me: i read because it's genuinely fun. i learn because even though it's hard, it feels good. i try because it makes me happy to try. and i'm watching a generation of people all lay down and say: but i don't want to try.

[kawareo]

"AI does this better than me :("

"My work is never as good as AI's :("

"I have to use AI to be good :("

you're devaluing yourself. AI is not smart, it's not creative, it just has access to the whole internet at once (which btw includes all the wrong things), and guess what, so do you. You're better than the plagiarism machine and you've been lied to and told that it's smarter than you and I hope you stop believing that because you deserve better

[learncontentwithai]

#Gamified_AI_Learning_for_Students_Revolutionizing_Education