🛍️ ChatGPT Is So In Vogue

PLUS: How to Create Stunning AI-Generated Images

OpenAI is making waves again — this time by teaming up with media giant Condé Nast. Today, we’re diving into how AI is shaking up the whole creative scene. Plus, we’ve got some tips on how you can use AI tools to boost your own creativity.

What to Expect:

  • AI is in Vogue — Literally

  • How to use AI To Create Images

  • Open Source Vs. Proprietary AI

  • Find a Learning Path to Upskill Yourself

  • More AI Tech, Tools, and Talks

Source: Made by The Drip Team via DALL-E

  • 🛍️ AI meets Vogue: OpenAI just signed a deal with CondĂŠ Nast, the publishing giant behind iconic brands like Vogue, The New Yorker, Vanity Fair, GQ, and more. CondĂŠ Nast plans to leverage OpenAI's tools, such as ChatGPT and DALL-E, to enhance creativity and streamline content production. This deal also allows SearchGPT to return quotes and information from CondĂŠ Nast in its results.

  • 🗞️ Meanwhile, across the industry... Not all media companies are embracing AI as easily. The New York Times and a few other media outlets (Raw Story, Alternet and The Intercept) have taken the opposite approach, suing OpenAI for using their articles without permission. The litigation is ongoing, highlighting the growing tension between traditional media and AI’s disruptive potential.

  • 🤖 Why it matters: This partnership signals a shift in how content will be created in the future. AI won’t just automate the boring stuff—it will work alongside humans as a creative partner. From generating story ideas to editing a photo to optimizing content for different platforms, AI is here to stay, so knowing how to use it productively will give you a major edge (and not just in the media industry).

Source: Made by The Drip Team via Image Creator from Designer

Now is the time to get hands-on with AI tools. These skills could soon become essential job responsibilities so it is important to get exposure and practice with them now. And AI-Generated art is one of these critical skills.

Here’s a step-by-step guide to getting started, along with some pro tips to make your images stand out:

  1. Access DALL-E

    • Free version: You can test DALL-E out for free here - Image Creator from Designer (where we created the above picture).

    • Paid version: At the moment, DALL-E 3 is only available to ChatGPT Plus subscribers ($20/month). You can sign up here and upgrade to Plus to get unlimited access to generating images.

  2. Craft Your Prompt

    • Type a detailed description of the image to create. The more specific you are, the better the results! Include details like colors, styles, and specific elements you want. For example, instead of create “a dog,” try create “a golden retriever wearing sunglasses on a beach at sunset.”

    • Pro Tip: Use adjectives to guide the style and mood—words like “cartoon-like,” “hyper-realistic”, “minimalist,” “vintage,” or “surreal” can drastically change the output.

  3. Generate and Review

    • Once you’re ready, generate the image and watch the magic happen (DALL-E usually provides multiple variations based on your prompt).

    • Pro Tip: Don’t settle for the first result. Experiment with rephrasing your prompt or tweaking details to get the perfect image 👇️ 

  4. Fine-Tune Your Image

    • It’s rare to get the exact image you want the first time, so try adjusting your prompt, adding more detail, or simplifying your description depending on the output. DALL-E has in-app editing tools where you can make small changes or refine specific areas of the image (e.g. “Remove this tree and replace it with a flower”).

    • Pro Tip: If you’re after a specific vibe, include references to famous styles or artists, like “in the style of Van Gogh” or “like a scene from a fantasy novel.”

  5. Experiment

    • Don’t be afraid to play around! There is no “one-size-fits-all” approach to AI image generation, so let your imagination run wild.

    • Pro Tip: Keep a notebook of successful prompts and ideas. This can be a valuable resource for future projects if you want to recreate a similar vibe/concept.

👉️ Refer to this forum for even more advanced tips.

Some more applicable ways you can use the images: menu design, product packaging, educational infographics, fashion product mock-ups, staging homes for real-estate viewings, marketing/ad campaigns,

⭐️ Enjoy some of our favorite images we have generated using DALL-E ⭐️ 

"Underwater Tea Party”

“Burgers and Bikes with Van Gogh”

“Hogwarts 2.0”

“Hershey’s Packaging Improved”

Source: Made by The Drip Team via DALL-E

Think about Open Source vs. Proprietary AI like choosing between cooking from scratch or ordering takeout—do you want the control and creativity of crafting your own meal or the convenience and consistency of a ready-made dish? Each option has its perks and drawbacks, but the choice influences how AI will become part of our daily lives.

💻️ The What:

  • Open Source AI - Refers to AI models whose source code is freely available to everyone for modifications, improvements - all very collaborative and community driven (e.g. Meta’s LLaMa).

  • Proprietary AI - Includes models whose source code and development process are privately owned and restricted by an organization. Users access and use the AI, but they can’t see the underlying code or modify it. They rely on a third-party vendor for support, new features and updates (e.g. Anthropic’s Claude).

👍️ Advantages:

  • Open Source AI:

    • Innovation & Collaboration: Imagine having a playground where you can meet with fellow enthusiasts and innovate. That’s what Open Source AI is for developers worldwide, making the development of cutting edge AI quicker than ever before.

    • Transparency: Having a completely open code base means full transparency on how things work. And transparency breeds trust, something that users are looking for more and more these days.

    • Customization: Perhaps, the most important advantage of Open Source AI is specialization. Open source gives you the chance to customize the model to meet your specific needs, which is ideal for businesses with unique requirements or for those who want to experiment with new features.

  • Proprietary AI:

    • Ease of Use: Have you ever tried to put IKEA furniture together on your own? It can be tiring, time consuming and often, things can go very wrong. Well, Proprietary AI solves that. It’s developed to be used out-of-the-box for users and provides customer support that’s ready to help when things go south. This unique selling point makes it ideal for someone who wants help quickly and hassle-free.

    • Security & Compliance: With a more centralized approach on development comes the ability to better control what’s developed. Thus, it’s easier to build robust security features and maintain compliance with industry standards, making it a safer choice for sectors where data protection is critical.

👎️ Disadvantages:

  • Open Source AI:

    • Security Risks: The very openness that fosters innovation can also be a double-edged sword. Malicious actors can use this to identify and exploit weaknesses before they are patched by the rest of the community.

    • Support & Maintenance: Let’s face it - when things aren’t working, we always pick up the phone and call support. Well, that might be difficult in this case as you will have to rely on community posts for support (often not so helpful). Next stop? Hiring an in-house expert, which can be a big cost for a business.

  • Proprietary AI:

    • Cost & Vendor Lock In: The cost of proprietary AI is high, especially when usage grows and expenses rise. Although it is convenient and simple to use, it also locks users into the ecosystem of the provider, increasing their reliance on the vendor's upgrades and policies as their needs change over time.

    • Lack Of Customization: Sure, your standard LLM can give you quick tips on how to prepare the perfect Sunday Roast but can it solve niche problems around tax filings or personalized sports & nutrition advice? Often, for these more complex tasks, you need to tailor the AI solution, providing additional data and context or even coding up some enhancements around them. (Tell us if you want to learn more about how in the survey below)

🤔 Our Take: Open Source AI Wins It All

Open Source AI stands out for enabling collaboration and innovation, building trust through transparency, and making AI cost effective — all of which help AI become accessible for everyone rather than only the few with resources. Plus, it creates an environment where people can now interact with AI, learn how to build with it, and gain skills that will be very powerful over the next decades.

PROMPT OF THE WEEK
For: Upskilling in Your Job

Current Job Title/Role: [Your Job Title]

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Certification Requirement: [Yes, No, Optional]

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TECH TOOLS, TIPS, AND TALKS

📖 What we’re reading: Thinking, Fast and Slow - A fascinating look at how the mind works.
📻 What we’re listening to: AI in Business - A podcast for non-technical users who want to identify, explore and deliver AI business opportunities.

MORE READING

We want to empower our readers with actually insightful knowledge so that they are more confident, informed leaders. Because let's face it, AI could be running the world pretty soon... so shouldn't we at least know how it works? If you are curious about a topic and want to learn more, drop us a message below👇🏼