#Dynamic learning and AI

[updatedideas]

Amazons GPT55X Unveiled

Hey there, tech enthusiast! 🚀 Grab your coffee because we’re about to dive into one of the most exciting innovations in the world of AI: Amazon’s GPT55X. Picture this: you’re chatting with a friend, and they casually mention this groundbreaking piece of tech. Confused? Don’t fret. We’re here to break it down for you, friend-to-friend. Introducing the Rockstar: Amazons GPT55X Ever watched a movie…

[commandertartarsmoocher]

Oh hey, it's Commander Tartar and Smollusk hanging out!

The silly has been contained...

... Smollusk seems to be having fun so it's fine, right?

This lovely humanoid Smollusk design was made by the very talented @melonenbrot !

[1k17y]

ㅤㅤㅤWHEN   I   TOOK   UP   KITTY   AS   A   MUSE,   I   GENUINELY,   HONEST   TO   GOODNESS,   BELIEVED   [ &   WAS   OKAY ]   WITH   HER   NOT   ONLY   BEING   A   JERK,   [ SINCE   WE   ONLY   HAVE   THE   LOO   LOO   LAND   ROBO   FIZZ   AS   A   POINT   OF   REFERENCE   FOR   THE   BOTS’   PERSONALITIES ]   BUT   ALSO   MEAN,   EXTREMELY   BITTER   &   AGGRESSIVE,

ㅤㅤㅤI   HAD   A   GENERAL   IDEA   ON   HOW   I   WANTED   HER   TO   COME   ACROSS   &   WHAT   HER   RELATIONSHIPS   WITH   THE   OTHER   CHARACTERS   WERE   GOING   TO   BE   -   FOR   EXAMPLE,   WITH   BLITZ,   I   FULLY   INTENDED   FOR   HER   TO   BE   VERY   ANGRY   WITH.   WITH   FIZZ,   I   WAS   FULLY   BANKING   ON   HER   ALL   BUT   SEXUALLY   HARRASING   HIM / WANTING   TO   FUCK   HIM.   WITH   ANGEL,   SHE   WAS   GOING   TO   BE   VALENTINO’S   LITTLE   HYPEMAN   IN   TORTURING   HIM   DAY-TO-DAY.   YOU   GET   THE   IDEA,

ㅤㅤㅤALL   THIS   TO   SAY :   I’M   GLAD   IT   DIDN’T   PAN   OUT   THAT   WAY;   PRETTY   INTERESTING   TO   SEE   HOW   YOUR   MUSE   PROGRESSES   🤔🤔🤔

[economicsresearch]

page 564 panel a - Monument on a hill. I am not asleep.

[ai-higurashi]

Dropping my Undergu Empire OC before tomorrow, when it's revealed the whole empire was just those five weirdoes all along or something.

Anyways, her name is Caprikon and she's a recruiter and an instructor for the Undergu Empire's army.

She doesn't usually directly attack weaklings but, unlike Minoton, it's not out of some sense of honor or anything like that. She simply doesn't feel like they're worth going all out if they can't put up an interesting challenge.

Regardless, she finds amusing to humour them, pretending to be more on par with their abilities, just so she can watch them build themselves up and then inevitably crash once they get way too over their heads. This makes her appear kind and friendly, especially to younger recruits, even though she's usually condescending and deep down doesn't really respect them much.

When she finds strong opponents she's more than thrilled to actually throw hands herself though, and you know she actually respects someone when she doesn't hold herself back.

[frank-olivier]

The Abstraction Gap: Understanding the Relationship Between Biological and Artificial Neural Networks

The human brain is a complex and intricate organ capable of producing a wide range of behaviors essential to our daily lives. From the simplest reflexes to the most complex cognitive functions, brain activity is a dynamic and ever-changing process that is still not fully understood. Advances in neuroscience and artificial intelligence have led to a new perspective on brain function that emphasizes the importance of emergent dynamics in the generation of complex behaviors.

Emergent dynamics refers to the collective behavior that arises from the interactions of individual components in a complex system. In the context of the brain, emergent dynamics refers to the complex patterns of activity that arise from the interactions of billions of neurons. These patterns of activity lead to a wide range of behaviors, from the movement of our limbs to the perception of the world around us.

One of the most important challenges in understanding brain function is the time warp problem. This problem occurs when the cadence of a stimulus pattern varies significantly, making it difficult for artificial intelligence systems to recognize patterns. Neuroscientific evidence has shown that the brain can easily solve the time warp problem. This is due to the brain's emergent dynamics, which allows it to recognize patterns that are not fixed in time but dynamic and can change in tempo.

In the context of artificial neural networks, the concept of emergent dynamics can be applied to develop more sophisticated artificial intelligence systems that can learn and adapt in complex environments. By understanding the collective dynamics of neurons in the brain, researchers may be able to develop artificial neural networks that can detect and respond to time-varying stimulus patterns, develop goal-directed motor behavior, and even perform simple reasoning and problem-solving tasks.

The relationship between abstraction and scalability in neural networks is complex. While artificial neural networks can be scaled to handle large amounts of data, they lack the ability to abstract from the details of the input data, which is a key feature of biological neural networks. To bridge this gap, researchers must prioritize developing artificial neural networks that operate at higher levels of abstraction, allowing them to efficiently process and represent complex information.

The emergence of complex behaviors in the brain is a fundamental aspect of its function. By understanding the collective dynamics of neurons in the brain, researchers may be able to develop more sophisticated artificial intelligence systems that can learn and adapt in complex environments.

The implications of emergent dynamics for brain function and artificial intelligence are significant. By applying the concept of emergent dynamics to artificial neural networks, researchers may be able to develop more sophisticated artificial intelligence systems that can detect and respond to time-varying stimulus patterns, develop goal-directed motor behavior, and perform simple reasoning and problem-solving tasks.

John J. Hopfield: Emergence, Dynamics, and Behaviour (Professor Sir David MacKay FRS Symposium, March 2016)

Dr. François Chollet: General intelligence - Define It, Measure It, Build It (Artificial General Intelligence Conference, Seattle, WA, USA, August 2024)

Prof. Alexander G. Ororbia: Biologically inspired AI and Mortal Computation (Machine Learning Street Talk, October 2024)

Introducing Figure 02 (Figure, August 2024)

Prof. Michael Levin, Dr. Leo Pio Lopez: Convergent Evolution - The Co-Revolution of AI & Biology (The Cognitive Revolution, October 2024)

Wednesday, October 16, 2024

[wiseabsol]

Chapter Summary: On Prince Mewtwo's birthday, Queen Mew gives her son a gift he didn't ask for. Mewtwo disapproves. Sabrina is confused.

Or: My "revising" old fanfiction to the point where it's something new continues. So if anyone is curious as to what a different take on the opening of Unwanted looks like, here you go!

[doom-dreaming]

I've come to the realization that my old Halo 4 canon divergence AU severely needs a character dynamic I hadn't really put much thought into at the time. Roland and Cortana.

[sotogalmo]

6:30

Tired of freenoodles fluff. (Makes them miserably comphet and species dysphoric because they want to be gay married together but the world is a fuck)

[technologysolutionsworldwide2]

Ready to elevate your business? 🌐 Discover how our #migrationservices minimize downtime and boost #productivity ! Contact us today for a free #migration #assessment . Visit https://techsolworld.com for more info! #MigrationServices #ITTransformation #DigitalTransformation #Microsoft #TechnologySolutionsWorldwide #M365 #D365 #O365 .

[technologyequality]

Boost Customer Loyalty with AI: Smarter Retention Strategies That Work

Boost Customer Loyalty with AI Smarter Retention Strategies That Work If you’ve followed this series, you know that AI has already changed how we attract leads, price our services, and close sales. But here’s a hard truth: If you’re only focused on getting new customers, you’re leaving money on the table. Acquiring new clients is great, but keeping them? That’s where the real profit is. Think…

[superavenueunknown]

The Power of Personalization in Email Marketing

In today's fast-paced digital world, email marketing remains one of the most effective tools for businesses to engage with their audience. However, with inboxes flooded daily, standing out requires more than just a generic message. This is where personalization in emailmarketing comes into play. By tailoring content to individual preferences and behaviors, brands can significantly boost open rates, click-through rates, and conversions.

What is Personalization in Email Marketing?

Personalization in email marketing is the practice of using customer data to create targeted and relevant email campaigns. It goes beyond just addressing the recipient by their first name; it involves leveraging behavioral insights, past purchases, browsing history, and preferences to craft messages that resonate.

Why Personalization Matters in Email Marketing

1. Increased Engagement

Studies show that personalized emails have higher open rates and engagement levels. When customers receive content that aligns with their interests, they are more likely to interact with the email, leading to better conversion rates.

2. Improved Customer Experience

Modern consumers expect brands to understand their needs. Personalized email marketing fosters a sense of connection, making customers feel valued and appreciated. This enhances brand loyalty and trust.

3. Higher ROI

According to research, businesses that implement email marketing personalization experience a substantial return on investment (ROI). By sending relevant content, brands reduce unsubscribes and improve email deliverability.

Effective Strategies for Email Personalization

1. Segmenting Your Audience

Segmentation is the foundation of email marketing personalization. By categorizing subscribers based on demographics, behavior, and preferences, businesses can send highly relevant content to each segment.

2. Dynamic Content

Using dynamic content allows marketers to customize email elements such as images, text, and offers based on user preferences. This technique enhances the relevance of the email, improving engagement and conversions.

3. Behavioral Triggers

Automating emails based on user behavior ensures timely and relevant interactions. Examples include:

●       Welcome emails for new subscribers

●       Cart abandonment emails

●       Re-engagement emails for inactive users

●       Post-purchase follow-ups

4. Personalized Subject Lines

An engaging subject line can make or break an email campaign. Studies indicate that personalized subject lines increase open rates significantly. Incorporating the recipient's name or referencing their recent activity can create a compelling first impression.

5. AI and Machine Learning

Artificial intelligence (AI) and machine learning help analyze customer data and predict preferences. These insights enable businesses to craft hyper-personalized email campaigns that drive better results.

The Role of MagixBowl in Personalized Email Marketing

At MagixBowl, we specialize in innovative email marketing strategies that incorporate advanced personalization techniques. Our team helps businesses leverage customer data to create impactful, results-driven campaigns that maximize engagement and ROI.

Case Study: How MagixBowl Transformed a Brand’s Email Strategy

A leading e-commerce brand partnered with MagixBowl to revamp its email marketing strategy. By implementing AI-driven personalization and dynamic content, the brand saw a 40% increase in open rates, a 25% boost in conversions, and a 30% reduction in unsubscribes within three months.

Measuring the Success of Personalized Email Campaigns

To ensure effectiveness, businesses must track key email marketing metrics such as:

●       Open Rates – Percentage of recipients who open the email

●       Click-Through Rates (CTR) – Number of recipients clicking on links

●       Conversion Rates – Percentage of users taking the desired action

●       Bounce Rates – Emails that fail to reach the recipient

●       Unsubscribe Rates – Users opting out of future emails

Analyzing these metrics allows brands to refine their email marketing personalization strategy for optimal results.

Future Trends in Email Personalization

As technology evolves, the future of personalized email marketing will be driven by:

●       AI-Powered Hyper-Personalization

●       Interactive Emails with Dynamic Elements

●       Predictive Analytics for Behavior-Based Campaigns

●       Integration with Omnichannel Marketing Strategies

Conclusion

Email marketing personalization is no longer optional—it’s necessary for brands looking to stand out in crowded inboxes. Businesses can create impactful, highly engaging campaigns by leveraging customer insights, segmentation, dynamic content, and AI. Partnering with experts like MagixBowl ensures that your email marketing strategy is optimized for maximum success.

Are you ready to unlock the full potential of personalized email marketing? Contact MagixBowl today and elevate your brand’s engagement and conversion rates!

contact us :  +91 7996316333

visit us: https://magixbowl.com/.

[kotori-mochi]

Can't afford art school?

After seeing post like this 👇

And this gem 👇

As well as countless of others from the AI generator community. Just talking about how "inaccessible art" is, I decided why not show how wrong these guys are while also helping anyone who actually wants to learn.

Here is the first one ART TEACHERS! There are plenty online and in places like youtube.

📺Here is my list:

Proko (Free, mostly teaches anatomy and how to draw people. But does have art talks and teaches the basics.)

Marc Brunet (Free but he does have other classes for a cheap price. Use to work for Blizzard and teaches you everything)

Aaron Rutten (free, tips about art, talks about art programs and the best products for digital art)

BoroCG (free, teaches a verity of art mediums from 3D modeling to digital painting. As well as some tips that can be used across styles)

Jesse J. Jones (free, talks about animating)

Jesus Conde (free, teaches digital painting and has classes in Spanish)

Mohammed Agbadi (free, he gives some advice in some videos and talks about art)

Ross Draws (free, he does have other classes for a good price. Mostly teaching character designs and simple backgrounds.)

SamDoesArts (free, gives good advice and critiques)

Drawfee Show (free, they do give some good advice and great inspiration)

The Art of Aaron Blaise ( useful tips for digital art and animation. Was an animator for Disney. Mostly nature art)

Bobby Chiu ( useful tips and interviews with artist who are in the industry or making a living as artist)

Sinix Design (has some tips on drawing people)

Winged canvas (art school for free on a verity of mediums)

Bob Ross (just a good time, learn how to paint, as well as how too relax when doing art. "there are no mistakes only happy accidents", this channel also provides tips from another artist)

Scott Christian Sava (Inspiration and provides tips and advice)

Pikat (art advice and critiques)

Drawbox (a suggested cheap online art school, made of a community of artist)

Skillshare (A cheap learning site that has art classes ranging from traditional to digital. As well as Animation and tutorials on art programs. All under one price, in the USA it's around $34 a month)

Human anatomy for artist (not a video or teacher but the site is full of awesome refs to practice and get better at anatomy)

Second part BOOKS, I have collected some books that have helped me and might help others.

📚Here is my list:

The "how to draw manga" series produced by Graphic-sha. These are for manga artist but they give great advice and information.

"Creating characters with personality" by Tom Bancroft. A great book that can help not just people who draw cartoons but also realistic ones. As it helps you with facial ques and how to make a character interesting.

"Albinus on anatomy" by Robert Beverly Hale and Terence Coyle. Great book to help someone learn basic anatomy.

"Artistic Anatomy" by Dr. Paul Richer and Robert Beverly Hale. A good book if you want to go further in-depth with anatomy.

"Directing the story" by Francis Glebas. A good book if you want to Story board or make comics.

"Animal Anatomy for Artists" by Eliot Goldfinger. A good book for if you want to draw animals or creatures.

"Constructive Anatomy: with almost 500 illustrations" by George B. Bridgman. A great book to help you block out shadows in your figures and see them in a more 3 diamantine way.

"Dynamic Anatomy: Revised and expand" by Burne Hogarth. A book that shows how to block out shapes and easily understand what you are looking out. When it comes to human subjects.

"An Atlas of animal anatomy for artist" by W. Ellenberger and H. Dittrich and H. Baum. This is another good one for people who want to draw animals or creatures.

Etherington Brothers, they make books and have a free blog with art tips.

📝As for Supplies, I recommend starting out cheap, buying Pencils and art paper at dollar tree or 5 below. If you want to go fancy Michaels is always a good place for traditional supplies. They also get in some good sales and discounts. For digital art, I recommend not starting with a screen art drawing tablet as they are usually more expensive.

For the Best art Tablet I recommend either Xp-pen, Bamboo or Huion. Some can range from about 40$ to the thousands.

💻As for art programs here is a list of Free to pay.

Clip Studio paint ( you can choose to pay once or sub and get updates. Galaxy, Windows, macOS, iPad, iPhone, Android, or Chromebook device. )

Procreate ( pay once for $9.99 usd, IPAD & IPHONE ONLY)

Blender (for 3D modules/sculpting, animation and more. Free)

PaintTool SAI (pay but has a 31 day free trail)

Krita (Free)

mypaint (free)

FireAlpaca (free)

Aseprite ($19.99 usd but has a free trail, for pixel art Windows & macOS)

Drawpile (free and for if you want to draw with others)

IbisPaint (free, phone app ONLY)

Medibang (free, IPAD, Android and PC)

NOTE: Some of these can work on almost any computer like Clip and Sai but others will require a bit stronger computer like Blender. Please check their sites for if your computer is compatible.

So do with this information as you will but as you can tell there are ways to learn how to become an artist, without breaking the bank. The only thing that might be stopping YOU from using any of these things, is YOU.

I have made time to learn to draw and many artist have too. Either in-between working two jobs or taking care of your family and a job or regular school and chores. YOU just have to take the time or use some time management, it really doesn't take long to practice for like an hour or less. YOU also don't have to do it every day, just once or three times a week is fine.

Hope this was helpful and have a great day.

"also apologies for any spelling or grammar errors, I have Dyslexia and it makes my brain go XP when it comes to speech or writing"

[economicsresearch]

page 564 panel a - I am not asleep.

[jcmarchi]

Beyond Large Language Models: How Large Behavior Models Are Shaping the Future of AI

New Post has been published on https://thedigitalinsider.com/beyond-large-language-models-how-large-behavior-models-are-shaping-the-future-of-ai/

Beyond Large Language Models: How Large Behavior Models Are Shaping the Future of AI

Artificial intelligence (AI) has come a long way, with large language models (LLMs) demonstrating impressive capabilities in natural language processing. These models have changed the way we think about AI’s ability to understand and generate human language. While they are excellent at recognizing patterns and synthesizing written knowledge, they struggle to mimic the way humans learn and behave. As AI continues to evolve, we are seeing a shift from models that simply process information to ones that learn, adapt, and behave like humans.

Large Behavior Models (LBMs) are emerging as a new frontier in AI. These models move beyond language and focus on replicating the way humans interact with the world. Unlike LLMs, which are trained primarily on static datasets, LBMs learn continuously through experience, enabling them to adapt and reason in dynamic, real-world situations. LBMs are shaping the future of AI by enabling machines to learn the way humans do.

Why Behavioral AI Matters

LLMs have proven to be incredibly powerful, but their capabilities are inherently tied to their training data. They can only perform tasks that align with the patterns they’ve learned during training. While they excel in static tasks, they struggle with dynamic environments that require real-time decision-making or learning from experience.

Additionally, LLMs are primarily focused on language processing. They can’t process non-linguistic information like visual cues, physical sensations, or social interactions, which are all vital for understanding and reacting to the world. This gap becomes especially apparent in scenarios that require multi-modal reasoning, such as interpreting complex visual or social contexts.

Humans, on the other hand, are lifelong learners. From infancy, we interact with our environment, experiment with new ideas, and adapt to unforeseen circumstances. Human learning is unique in its adaptability and efficiency. Unlike machines, we don’t need to experience every possible scenario to make decisions. Instead, we extrapolate from past experiences, combine sensory inputs, and predict outcomes.

Behavioral AI seeks to bridge these gaps by creating systems that not only process language data but also learn and grow from interactions and can easily adapt to new environments, much like humans do. This approach shifts the paradigm from “what does the model know?” to “how does the model learn?”

What Are Large Behavior Models?

Large Behavior Models (LBMs) aim to go beyond simply replicating what humans say. They focus on understanding why and how humans behave the way they do. Unlike LLMs which rely on static datasets, LBMs learn in real time through continuous interaction with their environment. This active learning process helps them adapt their behavior just like humans do—through trial, observation, and adjustment. For instance, a child learning to ride a bike doesn’t just read instructions or watch videos; they physically interact with the world, falling, adjusting, and trying again—a learning process that LBMs are designed to mimic.

LBMs also go beyond text. They can process a wide range of data, including images, sounds, and sensory inputs, allowing them to understand their surroundings more holistically. This ability to interpret and respond to complex, dynamic environments makes LBMs especially useful for applications that require adaptability and context awareness.

Key features of LBMs include:

Interactive Learning: LBMs are trained to take actions and receive feedback. This enables them to learn from consequences rather than static datasets.

Multimodal Understanding: They process information from diverse sources, such as vision, sound, and physical interaction, to build a holistic understanding of the environment.

Adaptability: LBMs can update their knowledge and strategies in real time. This makes them highly dynamic and suitable for unpredictable scenarios.

How LBMs Learn Like Humans

LBMs facilitate human-like learning by incorporating dynamic learning, multimodal contextual understanding, and the ability to generalize across different domains.

Dynamic Learning: Humans don’t just memorize facts; we adapt to new situations. For example, a child learns to solve puzzles not just by memorizing answers, but by recognizing patterns and adjusting their approach. LBMs aim to replicate this learning process by using feedback loops to refine knowledge as they interact with the world. Instead of learning from static data, they can adjust and improve their understanding as they experience new situations. For instance, a robot powered by an LBM could learn to navigate a building by exploring, rather than relying on pre-loaded maps.

Multimodal Contextual Understanding: Unlike LLMs that are limited to processing text, humans seamlessly integrate sights, sounds, touch, and emotions to make sense of the world in a profoundly multidimensional way. LBMs aim to achieve a similar multimodal contextual understanding where they can not only understand spoken commands but also recognize your gestures, tone of voice, and facial expressions.

Generalization Across Domains: One of the hallmarks of human learning is the ability to apply knowledge across various domains. For instance, a person who learns to drive a car can quickly transfer that knowledge to operating a boat. One of the challenges with traditional AI is transferring knowledge between different domains. While LLMs can generate text for different fields like law, medicine, or entertainment, they struggle to apply knowledge across various contexts. LBMs, however, are designed to generalize knowledge across domains. For example, an LBM trained to help with household chores could easily adapt to work in an industrial setting like a warehouse, learning as it interacts with the environment rather than needing to be retrained.

Real-World Applications of Large Behavior Models

Although LBMs are still a relatively new field, their potential is already evident in practical applications. For example, a company called Lirio uses an LBM to analyze behavioral data and create personalized healthcare recommendations. By continuously learning from patient interactions, Lirio’s model adapts its approach to support better treatment adherence and overall health outcomes. For instance, it can pinpoint patients likely to miss their medication and provide timely, motivating reminders to encourage compliance.

In another innovative use case, Toyota has partnered with MIT and Columbia Engineering to explore robotic learning with LBMs. Their “Diffusion Policy” approach allows robots to acquire new skills by observing human actions. This enables robots to perform complex tasks like handling various kitchen objects more quickly and efficiently. Toyota plans to expand this capability to over 1,000 distinct tasks by the end of 2024, showcasing the versatility and adaptability of LBMs in dynamic, real-world environments.

Challenges and Ethical Considerations

While LBMs show great promise, they also bring up several important challenges and ethical concerns. A key issue is ensuring that these models could not mimic harmful behaviors from the data they are trained on. Since LBMs learn from interactions with the environment, there is a risk that they could unintentionally learn or replicate biases, stereotypes, or inappropriate actions.

Another significant concern is privacy. The ability of LBMs to simulate human-like behavior, particularly in personal or sensitive contexts, raises the possibility of manipulation or invasion of privacy. As these models become more integrated into daily life, it will be crucial to ensure that they respect user autonomy and confidentiality.

These concerns highlight the urgent need for clear ethical guidelines and regulatory frameworks. Proper oversight will help guide the development of LBMs in a responsible and transparent way, ensuring that their deployment benefits society without compromising trust or fairness.

The Bottom Line

Large Behavior Models (LBMs) are taking AI in a new direction. Unlike traditional models, they don’t just process information—they learn, adapt, and behave more like humans. This makes them useful in areas like healthcare and robotics, where flexibility and context matter.

But there are challenges. LBMs could pick up harmful behaviors or invade privacy if not handled carefully. That’s why clear rules and careful development are so important.

With the right approach, LBMs could transform how machines interact with the world, making them smarter and more helpful than ever.

[marketinggs]

10 Game-Changing AI Marketing Hacks to Skyrocket Your Business in 2024

Introduction In the fast-paced world of digital marketing, artificial intelligence (AI) is no longer just a buzzword—it’s a game-changer. From startups to Fortune 500 companies, businesses are leveraging AI-driven marketing strategies to outpace their competition. But with so many AI tools and techniques available, where should you start? This guide will walk you through 10 powerful AI marketing…