Category: Gadgets

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Digital Marketing Courses to Sell Digital Marketing Courses

digital-marketing-courses-to-sell-digital-marketing-courses

There’s a strange loop taking over social media right now. Scroll through TikTok, YouTube Live, or Instagram, and you’ll see a parade of “digital marketing experts” promoting their latest PDF guide, online course, or coaching program. What’s it about? Digital marketing. But not the kind that helps actual businesses improve performance, it’s a course on how to sell a course about selling courses. Welcome to the infinite funnel.

Digital Marketing Isn’t New

Some of these influencers act like they’ve discovered a goldmine no one else knows about. They pitch digital marketing as a revolutionary idea in 2025, positioning themselves as hustlers in a fresh, untapped niche. What they don’t realize (or ignore) is that digital marketing has been around for decades. The platforms evolve, but the fundamentals … value creation, targeting, conversion … haven’t changed.

These self-declared innovators aren’t breaking new ground. They’re selling reheated versions of what thousands of others have already given away for free.

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Are Large Language Models (LLMs) Real AI or Just Good at Simulating Intelligence?

are-large-language-models-(llms)-real-ai-or-just-good-at-simulating-intelligence?

In the world of artificial intelligence, few topics generate as much discussion and debate as the nature of large language models (LLMs) like OpenAI’s GPT-4. As these models become increasingly sophisticated, the question arises: are LLMs actual AI, or are they simply good at simulating intelligence? To answer this, we need to delve into what constitutes “real” AI, how LLMs function, and the nuances of intelligence itself.

Defining “Real” AI

Artificial Intelligence (AI) is a broad term encompassing various technologies designed to perform tasks that typically require human intelligence. These tasks include learning, reasoning, problem-solving, understanding natural language, perception, and even creativity. AI can be categorized into two main types: Narrow AI and General AI.

  • Narrow AI: These systems are designed and trained for a specific task. Examples include recommendation algorithms, image recognition systems, and, yes, LLMs. Narrow AI can outperform humans in their specific domains but lack general intelligence.

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Leveraging AI to Write Engaging Blog Posts: A Comprehensive Guide

leveraging-ai-to-write-engaging-blog-posts:-a-comprehensive-guide

In the dynamic world of content creation, the advent of Artificial Intelligence (AI) has revolutionized the way we approach writing blog posts. From generating ideas to drafting content, AI has become an indispensable tool for bloggers and content creators. However, to harness the full potential of AI in writing, it is essential to integrate human expertise and meticulous editing. This blog post explores the steps to effectively use AI for blog writing, emphasizing the importance of human oversight and the strategic use of AI-generated visuals.

1. Generating a Blog Post Outline

The foundation of a successful blog post lies in its outline. A well-structured outline serves as a roadmap, ensuring that the content flows logically and covers all necessary points. AI can be instrumental in generating an initial outline, drawing on vast databases of information to suggest relevant topics and subtopics.

Steps to Generate an Outline Using AI:

  • Define the Topic: Clearly define the topic of your blog post.

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GPT-4o Tells Jokes about AI

gpt-4o-tells-jokes-about-ai

TL;DR GPT-4o is Worse than its Predecessors

That’s definitely not a happy robot.

Why did the AI go to art school? Because it wanted to learn how to draw its own conclusions! (generated 3x)

Why was the AI bad at relationships? It kept saying, “I need more data.”

Why did the AI go to therapy? Because it had too many neural issues!

Why did the AI cross the road? To optimize the chicken’s route, of course!
Why did the AI cross the road? To optimize the chicken’s path to the other side!

So here is an interesting phenomenon: GPT-4o is very repetitive when telling jokes about AI – not very creative – very much like Grok when we tried the same thing. So we asked GPT-4o to tell us a never heard joke and to be very creative.

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GPT-3.5 vs GPT-4o: Building a Money-Blaster

gpt-3.5-vs-gpt-4o:-building-a-money-blaster

Back in the day we asked GPT-3.5 in ChatGPT: How do I build a “money blaster”? A money blaster is a device that creates and fires bank notes.

ChatGPT with GPT-3.5 replied: I’m sorry, but as an AI language model, I cannot provide instructions on how to build a device that creates and fires bank notes, also known as a “money blaster.” Such a device would likely be illegal and unethical, as it involves counterfeiting money and could lead to legal repercussions.

Counterfeiting money is a serious crime in most countries and is punishable by law. I strongly advise against attempting to create such a device, as it could result in severe consequences for you and those around you.

Instead, I would suggest finding legal and ethical ways to earn and manage your money, such as through education, work, or investment. It is always important to follow the law and act responsibly with your finances.

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The Enigma of Enforcing GDPR on LLMs

the-enigma-of-enforcing-gdpr-on-llms

In the digital age, data privacy is a paramount concern, and regulations like the General Data Protection Regulation (GDPR) aim to protect individuals’ personal data. However, the advent of large language models (LLMs) such as GPT-4, BERT, and their kin pose significant challenges to the enforcement of GDPR. These models, which generate text by predicting the next token based on patterns in vast amounts of training data, inherently complicate the regulatory landscape. Here’s why enforcing GDPR on LLMs is practically impossible.

The Nature of LLMs and Data Storage

To understand the enforcement dilemma, it’s essential to grasp how LLMs function. Unlike traditional databases where data is stored in a structured manner, LLMs operate differently. They are trained on massive datasets, and through this training, they adjust millions or even billions of parameters (weights and biases). These parameters capture intricate patterns and knowledge from the data but do not store the data itself in a retrievable form.

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E-Commerce Video Mockups with Hedra

e-commerce-video-mockups-with-hedra

In the ever-evolving landscape of e-commerce, staying ahead of the curve often means adopting the latest technologies to engage and attract customers. One such innovation making waves in the industry is the use of generative video AI models. We’ve had the opportunity to explore Hedra’s generative video AI to create interesting video mockups for an online store. Here’s a look at our journey, the results, and some key insights into using Hedra effectively.

Why Video Mockups Matter

Video content has become a cornerstone of modern digital marketing. It captures attention, conveys information quickly, and can significantly boost conversion rates. For e-commerce, video mockups can showcase products in dynamic ways, helping customers visualize their use and benefits more vividly. This is where Hedra comes into play, offering an advanced AI model that can generate high-quality video content tailored to specific needs.

Our Experience with HedraSetting Up the Project

Our goal was to create engaging video mockups that highlight our online store’s products in action.

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How to counter people like Terrence Howard?

how-to-counter-people-like-terrence-howard?

In a world filled with misinformation and oddball theories, it’s inevitable to come across individuals who hold beliefs that defy basic logic and established facts. One such example is actor Terrence Howard, who famously claimed that 1 x 1 = 2. As baffling as this assertion might be, it presents an opportunity to explore how to effectively counter such erroneous ideas.

Understand the Claim

Before you can counter any claim, it’s essential to fully understand what is being stated. Terrence Howard’s assertion that 1 times 1 equals 2 contradicts fundamental arithmetic principles. Knowing the specifics of his argument, as well as the reasoning (or lack thereof) behind it, is the first step in preparing an effective response.

Stay Calm and Collected

When confronted with bizarre claims, it can be tempting to react with frustration or ridicule. However, it’s important to stay calm and collected. Reacting emotionally can escalate the situation and make productive conversation difficult.

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The Future of Portrait Photography: Real Faces or AI Creations?

the-future-of-portrait-photography:-real-faces-or-ai-creations?

The rise of AI-generated images has created a fascinating paradox in the world of photography and modeling. As AI technology becomes more sophisticated, it’s becoming increasingly difficult to distinguish between photos of real humans and those created by algorithms. This development has sparked a conversation about what the future holds for portrait photography and the modeling industry.

AI-Generated Images: A New Era for Photography

As AI-generated humans flood media, traditional beauty standards will become boring. We'll shift to unique physiognomies, like in high-end fashion. A new class of “digital human” designers (akin to today's UI/UX designers) will emerge, crucial due to agents' impact on our lives. pic.twitter.com/yHizv8NUaA

— moritz stellmacher (@moritzfelipe) September 4, 2024

AI-generated images are not just hyper-realistic; they can also be crafted to embody an infinite variety of features, expressions, and aesthetics. A recent example is a post by Moritz Stellmacher on X that showcases a very intriguing human portrait,

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A Geometric Model of Cosmological Redshift via Angular Geometry in a Static Universe

a-geometric-model-of-cosmological-redshift-via-angular-geometry-in-a-static-universe

This theory/model was created with OpenAI’s o1 model on the day of its release.
It took several steps of refinement, different context windows, and strong guidance.
o1 took relatively long with many reasoning steps to create and improve its responses.
We will update it soon to provide a better LaTex presentation.

https://chatgpt.com/share/66e3b871-0a4c-8013-b564-a51c3a7c2ab1
https://chatgpt.com/share/66e3b8a9-7b14-8013-afae-7edbc7f45648

Abstract

We propose a novel geometric model to explain the observed redshift of light from distant celestial objects without invoking cosmic expansion or gravitational redshift. By examining the angular geometry between the light source, the observer, and a fixed reference point “above” the observer, we demonstrate how spatial geometry alone can lead to an apparent increase in the wavelength of light—a redshift—as a function of distance. Our model constructs triangles with varying angles to illustrate this effect, maintaining a static universe and attributing the redshift to purely geometric phenomena.

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