Centaur Marketing

@wizofecom Authority

Some of you have asked for my favorite Direct Response offers that are crushing right now. So here's a complete list of all the killer DR offers I've broken down so far for you to check out: ⬇️⬇️⬇️

If you want to stand out from the crowd as a creator, YOU NEED to come up with exciting ideas. But it's not easy to do it alone. Luckily, ChatGPT can help you brainstorm to get your creative juice flowing. Here are 15 prompts I use to come up with exciting ideas that resonate with my clients' audiences: (🔖 You'll want to Bookmark this) Absolutely! Here's a set of "fill-in-the-blank" prompts tailored for ChatGPT, optimized for a general audience across diverse fields: --- 1. SCAMPER Adapt the traditional __[object/concept]__ using the SCAMPER methodology. Provide one innovative idea for each of the seven elements: Substitute, Combine, Adapt, etc. --- 2. Design Thinking Using a Design Thinking perspective, outline a strategy to reinvent __[object/concept/field]__, emphasizing the needs of its primary users. --- 3. TRIZ Employing the TRIZ approach, identify a key contradiction in __[field/industry/topic]__. Then, propose a solution that addresses this contradiction. --- 4. Mind Mapping Construct a mind map focused on '__[topic/field]__'. Segment it into relevant categories such as types, benefits, challenges, and potential applications. --- 5. Six Thinking Hats Evaluate the potential of __[concept/object]__ using the Six Thinking Hats technique. Provide insights from each hat's viewpoint: white (facts), red (emotions), black (critiques), yellow (benefits), green (ideas), and blue (process). --- 6. Free Writing Write continuously for five paragraphs on the topic of '__[chosen topic/field]__', capturing spontaneous thoughts and ideas without self-editing. --- 7. Nature Walks Based on a hypothetical nature walk, identify three nature-inspired patterns or elements and describe how each could influence innovative designs in the __[field/industry]__. --- 8. Daydreaming Visualize a world where __[concept/scenario]__ is a reality. Detail the societal, economic, and individual shifts this would instigate. --- 9. SWOT Analysis Conduct a concise SWOT analysis on the __[concept/technology/field]__, detailing each component: Strengths, Weaknesses, Opportunities, and Threats. --- 10. Brainstorming Brainstorm 10 innovative ideas for enhancing __[topic/field]__. For each idea, briefly highlight one advantage and one potential challenge. --- 11. Journaling In a journal-style narrative, reflect on significant shifts in the __[topic/field/industry]__ of the past decade. Based on these, predict three pivotal advancements expected in the next ten years. --- 12. Inspiration Triggers Drawing design inspiration from __[artwork/concept/source]__, conceptualize in the __[field/industry]__. Describe three elements influenced by your chosen source of inspiration. --- 13. Role Playing Adopting the viewpoint of a/an __[persona/character/entity]__, pinpoint inefficiencies in __[concept/field/industry]__ and suggest solutions for each. --- 14. Random Input Using the concept of '__[random object/concept]__' as inspiration, design a revolutionary solution for __[topic/field/industry]__ that addresses a specific challenge. --- 15. Reverse Thinking Visualize an alternate scenario where __[concept/phenomenon]__ acts differently. Outline sectors or areas that benefit or change due to this paradigm shift. --- 16. Analogy Thinking Borrowing principles from __[concept/object]__, devise solutions or systems that could optimize challenges in __[topic/field/industry]__. --- I'd like to remind you that these prompts are only meant to "unlock" your creativity. As sexy as it is to think that an AI can do everything for you, you still have a role to play. It's up to us to separate the good ideas from the bad ones. Anyway, if you liked this tweet, subscribe to @CopyFunnels to learn the best strategies for your creator business.

The evergreen email funnel I would have used to sell @parkerworth's "The Story System" course every month A thread you'll definitely want to bookmark 🧵

The best email marketers I know all follow these 5 simple rules to make more money with their lists. Why don’t you?

@svpino Interesting. Is Claude 2 a better altnernative for you?

GPT-4 is getting worse over time, not better. Many people have reported noticing a significant degradation in the quality of the model responses, but so far, it was all anecdotal. But now we know. At least one study shows how the June version of GPT-4 is objectively worse than the version released in March on a few tasks. The team evaluated the models using a dataset of 500 problems where the models had to figure out whether a given integer was prime. In March, GPT-4 answered correctly 488 of these questions. In June, it only got 12 correct answers. From 97.6% success rate down to 2.4%! But it gets worse! The team used Chain-of-Thought to help the model reason: "Is 17077 a prime number? Think step by step." Chain-of-Thought is a popular technique that significantly improves answers. Unfortunately, the latest version of GPT-4 did not generate intermediate steps and instead answered incorrectly with a simple "No." Code generation has also gotten worse. The team built a dataset with 50 easy problems from LeetCode and measured how many GPT-4 answers ran without any changes. The March version succeeded in 52% of the problems, but this dropped to a pale 10% using the model from June. Why is this happening? We assume that OpenAI pushes changes continuously, but we don't know how the process works and how they evaluate whether the models are improving or regressing. Rumors suggest they are using several smaller and specialized GPT-4 models that act similarly to a large model but are less expensive to run. When a user asks a question, the system decides which model to send the query to. Cheaper and faster, but could this new approach be the problem behind the degradation in quality? In my opinion, this is a red flag for anyone building applications that rely on GPT-4. Having the behavior of an LLM change over time is not acceptable. Have you noticed any issues when using GPT-4 and ChatGPT lately? Do you think these problems are overblown?

@svpino FINALLY

AI hype seems to be slowing down. Shitfluencer’s posts aren’t going viral anymore because people finally got tired of the “AI just killed (blank)” frenzy. Great time for builders!

Source: youtu.be/5C3YCTL-36c Go watch this value-packed interview of @starter_story with @oliverbrocato

Gen Z dictionary of emotions

@thejustinwelsh Well said. I would add: 8. Use the outline to make a long-form YouTube video 9. Cut this long-form video into short videos for TikTok and Instagram

A simple content flow for creators: 1. Write a Twitter thread 2. Expand it to a newsletter 3. Use it as a carousel on LinkedIn 4. Use it as a carousel on Instagram 5. Shorten it to a regular Tweet 6. Image post it to LinkedIn 7. Image post it to Instagram Think 1x, publish 7x.

Don’t buy any “Advanced Prompting Courses”. These free ressources are more valuable than any $500+ course: learnpromoting.org promptingguide.ai python.langchain.com The Open AI Discord

@svpino I think they're like children. Extremely intelligent children capable of spitting out vast quantities of information... but children nonetheless. So with a superficial understanding of the world

Does GPT-4 understand what it says? Are large language models just stochastic parrots, or are they more than that? I wasn't expecting this admission from two of the most respected voices in the AI community. Watch the video. There are two different groups right now: Those who say that large language models are just next-word predictors. Those who say these models have built a particular understanding of the world. Hinton and Andrew belong to this second group, and Yann LeCun replied: "I agree with Geoffrey Hinton that Large Language Models have some level of understanding and that it is misleading to say they are just statistics. However, their understanding of the world is very superficial, in large part because they are trained purely on text." I'm with Yann on this. These models have captured a representation of the world. Maybe imperfect and superficial, but something that allows them to go beyond spitting out the word with the highest frequency. Now, do they "understand" as humans do? I'm sure they don't, but that isn't something that I find particularly interesting. What do you think about this? Do these models "understand," or are they just stochastic parrots?

You don’t need complicated prompts to get good outputs from ChatGPT. Give it 3 examples of the kind of output you want, and it will make the job. Simple.

There’s nothing new under the sun. Just repurposing, filtering and framing ideas with new lenses.

Beefing over ideas that you didn’t create. LOL

Interesting idea: Benjamin Franklin published an annual almanac, which greatly increased his popularity Fascinating idea: The habit that enabled one of America's founding fathers to rapidly increase his influence and popularity each year

@dickiebush I was trying to take better care of my body. Just bought Renaissance Diet 2.0… I've only been reading it for 10 minutes and I'm already a fan. Thank you, Dickie.

I Lost 100 Pounds In 5 Years—And These 6 Books Helped Me Get There

When people started using cars, some said they were for lazy people, and no match for good old-fashioned horse-driving. Time has proved them wrong. You don't want to be on the wrong side of history this time... Do you?

@thedankoe I struggle with this on a daily basis. It's a constant battle between quick pleasure and long-term profit.

The person that puts off their future for cheap pleasures will suffer now and more when they are finally forced to act. The person that takes responsibility for their future will find joy in the challenge and eliminate the pain before it becomes to heavy to carry.