#learning model

[bacchuschucklefuck]

couldnt draw my thang for mid-autumn so treated myself to a calne redesign instead

[usciedu]

Best Model Courses | Learning Model | USCI

Discover the transformative S.U.R. Model of Learning at USCI, integrating Skill, Understanding, and Reinforcement for comprehensive education. Unlock your full potential today!

[realityfragments]

Hungry Ghosts of Technology.

This morning I was reading up on how tech companies had cut corners to get data to feed their generative AIs, and what really rang out in the article was the incessant need for more stuff to shove into learning models. As a sidenote, it’s pretty amazing that people can get together, swap bodily fluids and grow another person that spends a life hopefully learning, with so much less of a carbon…

[cozylittleartblog]

Columbo and the Knight (1984)

put me in the universe where Columbo ran through the 1980s and had a crossover episode with Knight Rider. I think they deserved it, and I am not just saying that because they're my two favorite Old Shows. @telebeast wrote a little fanfic blurb about it and I HAD to visualize it into a comic (which is also the longest comic I have finished thus far at five pages...), so writing credit goes to them.

Autism W!

[hinamie]

i'm exactly as normal about him as I thought I'd be

[kazehita]

He has entered the third dimension

he is.. Kind of rigged. The cloak rig in particular is truly a disaster - so much so that for the statue i just poly-modeled it into shape. the topology is also a bit challenged in the joint areas - so he is far from perfect, but I love him and I learned so much making him!!!

[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.

[ikachap]

Etho in blockbench?!?! Its more likely than you think...

(I am going insane its 4am)

[learningexp]

Signs You Suck at Learning Model

A learning model, in the context of the website Knowledge Synonyms' discussion on "Art, Media, and Engagement," refers to a structured approach or framework designed to facilitate effective and engaging learning experiences within the fields of art and media. This model encompasses strategies, methodologies, and techniques employed to convey knowledge, develop skills, and promote active participation and interaction among learners.

https://justpaste.it/cv6q8

[learningorganizationdevelopment]

The Evolution of Learning Models: A Comprehensive Exploration

Understanding Learning Models: From Traditional to Modern Approaches

Introduction:

The pursuit of knowledge has always been a fundamental aspect of human existence. Over the centuries, various learning models have emerged, each shaping the way we absorb and retain information. From traditional classroom-based teaching to modern technology-driven approaches, the evolution of learning models has been nothing short of revolutionary. In this comprehensive exploration, we will delve into the diverse world of learning models, shedding light on their significance and impact on the educational landscape. Join us as we embark on a journey to understand how these models influence the way we learn, with a special focus on the innovative approaches presented by Knowledge Synonyms.

Defining Learning Models:

Learning models are structured frameworks that outline the methods and strategies used to facilitate the process of acquiring knowledge and skills. These models aim to optimize learning outcomes by tailoring instructional techniques to cater to diverse learning styles and preferences.

Traditional Learning Models:

Lecture-Based Approach: In the traditional classroom setting, the lecture-based approach is a common model where instructors deliver content through lectures, and students take notes to absorb the information.

Socratic Method: Derived from the teachings of Socrates, this model emphasizes guided questioning and critical thinking, encouraging students to actively engage in discussions.

Apprenticeship Model: Historically, craftsmen and artisans used this model to pass down skills and knowledge to apprentices through hands-on training and mentorship.

Modern Learning Models:

Blended Learning: Blending traditional face-to-face instruction with online learning, this model combines the best of both worlds, offering flexibility and personalized learning experiences.

Flipped Classroom: In the flipped classroom model, students access instructional content online before class, allowing in-person sessions to focus on collaborative activities and problem-solving.

Project-Based Learning (PBL): PBL immerses students in real-world projects, promoting experiential learning and critical thinking as they apply knowledge to solve practical challenges.

Personalized Learning: Leveraging technology and data analytics, personalized learning tailors content and pace to each student's unique needs and learning abilities.

The Knowledge Synonyms Approach:

At Knowledge Synonyms, we believe that the art of media engagement enhances the learning experience, making it more interactive and memorable. Through innovative educational media and engagement techniques, we strive to revolutionize the way knowledge is presented and absorbed.

Interactive Content: Our learning models integrate interactive elements, such as quizzes, simulations, and multimedia, fostering active participation and knowledge retention.

Visual Storytelling: Embracing the power of visual storytelling, we captivate learners through captivating visuals and narratives, making complex concepts easier to grasp.

Gamification: We infuse gamification elements into our learning models, turning the learning process into an enjoyable and immersive adventure.

Real-World Context: Knowledge Synonyms learning models connect theoretical concepts to real-world applications, promoting a deeper understanding of the subject matter.

Conclusion: Embracing the Learning Models of Tomorrow

As the educational landscape continues to evolve, learning models remain at the heart of innovation. From traditional lectures to modern personalized learning, each approach offers unique advantages for learners and educators alike. Knowledge Synonyms, with its pioneering approach to media engagement and interactive content, stands at the forefront of this revolution. Embrace the learning models of tomorrow, and embark on a journey of knowledge that knows no bounds.

Reference:

Metaverse use cases and benefits

Exploring the Best Learning Models in India: Empowering Education through Innovation

[mechncheese]

Science AU Thundercracker model by @heliotr0pic ! THANK YOU AGAIN OH MY GOD HE’S BEEN SO FUN TO POSE AND PLAY WITH, GENUINELY SUCH A WELL-MADE AND BEAUTIFUL MODEL !! When I get a handle on Blender Animation I will make him move and groove ! imagine he's running from a fusion cannon blast in the last one BAHAHA

[kiranokira]

You could have atleast kissed the brick before throwing it at me 💔💔

[normal-about-the-dca]

They're just bobbing there.... MENACINGLY!

[hyunpic]

daily gifs until hyune day: what can’t he do? — talented singer-songwriter, rapper, dancer, choreographer, producer, model. some other talents including: swimming, football, painting/drawing, pottery & photography: “the moment i realize, oh, i can love this too! my world expands. if i keep discovering new things that i enjoy, there’s no end to it. who knows? maybe three years from now, i’ll be completely obsessed with fishing. just imagine how happy i’d be watching the fish swimming in the water! thinking about what i might come to love in the future makes me look forward to tomorrow a little more”

[whiteraven90]

I tossed a horse and a cat in a blender for a project