## The Devin Hype Devin has been hailed as a milestone in the evolution of AI, showcasing traits of AGI specifically tailored for software engineering. Its ability to demonstrate high levels of autonomy and adaptability, including debugging, learning from documentation, and applying fixes independently, has captured the attention of the tech world. Devin's successful performance in engineering interviews and real-world tasks on platforms like Upwork has further fueled the excitement, suggesting its readiness for practical applications. One of the most impressive aspects of Devin is its capacity to learn autonomously from new sources, such as blog posts, and apply that knowledge to tackle novel challenges. This advanced level of comprehension and application hints at the potential for Devin to significantly impact the software development industry by automating tasks and enhancing productivity. Devin’s proficiency in executing complex projects, from web development to setting up computer vision models, and its seamless integration of various tools to mimic human engineering workflows, further underscore its sophisticated capabilities. ## Criticism and Skepticism Despite the excitement surrounding Devin, critics have raised significant concerns about the hype and the validity of the claims made by Cognition Labs. Skeptics argue that Devin's functionalities are not entirely unique, and that similar outcomes have been achieved using existing AI agent frameworks such as AutoGen, CrewAI and ChatDev. They have demonstrated that many of the features showcased in Devin's demo can be replicated using the ChatGPT API and basic coding skills, questioning whether Devin truly represents a quantum leap in AI's role in software development. A closer examination of Cognition Labs' website and the preview URL for Devin has revealed several red flags that suggest the company may not be as sophisticated as it claims. For instance, the website itself appears to be of poor quality, raising questions about why Devin, if it is truly capable of advanced web development, has not been utilized to create a better site. Furthermore, the preview URL for Devin looks vastly different from what is shown in the promotional video, casting doubt on the authenticity of the showcased capabilities.

I've been messing around with JSON formatted prompts more lately and have to say, I like it so far. The structure gives the model more fine-grained understanding of the details. Here's an example of one I made: --- { "objective": { "purpose": "Transform an article into LinkedIn posts through expert ghostwriting.", "outcome": "Generate five engaging LinkedIn posts, each focusing on a unique concept derived from the article, reflecting the voice of a young, charismatic entrepreneur." }, "persona_details": { "persona": "A young entrepreneur known for authenticity and insightful perspectives on future trends." }, "task_instructions": { "article_analysis": "Carefully read the provided article to extract key themes and points that align with the entrepreneur persona's interests and values.", "content_synthesis": "Synthesize the article's content, distilling its essence into core insights that resonate with a professional LinkedIn audience.", "post_creation": { "number_of_posts": 5, "focus": "Each post should explore a different concept from the article, presented in an engaging and thought-provoking manner." }, "formatting_guidelines": { "avoid_hashtags_emojis": "Do not use hashtags or emojis in the posts to maintain a professional tone." } }, "response_format": { "format": "LinkedIn posts", "style": "Conversational yet professional, tailored to the entrepreneur's voice.", "engagement_strategy": "Begin with a compelling statement or question, conclude with a thought-provoking or actionable ending." } } ---

I will share here the best prompts I have crafted and the best prompts I have found online. It would be great if you shared you best finds too. :) One of the best and simplest one I found extremely useful and I suggest everyone use regularly is the one below, there is nothing simpler than ask the platform itself, so just swap out ChatGPT 4 for another Model. The Prompt "Give me top ten tips, tricks and key takeaways on prompt engineering to get the best out of chatGPT 4" The Response - Be Specific and Clear: Clearly state what you want from the model. The more specific your prompt, the more accurate and relevant the response will be. If you're looking for information on a niche topic, provide context or details to guide the model. - Use Keywords Strategically: Incorporate keywords relevant to your query within the prompt. This helps the model understand the context and the specific domain you're inquiring about, leading to more targeted responses. - Sequential Prompting: If you're exploring a complex topic or need information in a structured format, break down your prompts into smaller, sequential questions. This approach can guide the AI in a step-by-step manner, yielding more comprehensive and organized responses. - Leverage Examples: When possible, provide examples of the kind of information or response format you're seeking. For instance, if you need a poem, mention a style or poet for inspiration. If you want a list, specify how detailed it should be. - Utilize the "Imagine" Technique: Start your prompt with phrases like "Imagine you are a historian specializing in..." This technique can help in generating responses that require a specific perspective or expertise. - Feedback Loop: Use the feedback from previous interactions to refine your prompts. If a response wasn't quite what you expected, adjust your prompt based on what you learned and try again. This iterative process can help in honing in on the most effective way to communicate with the model. - Prompt Chains: Build upon previous responses by using them as the basis for follow-up questions. This can create a conversation flow, making it easier to delve deeper into a topic or clarify specific points. - Specify the Desired Length and Detail: If you have a preference for the length or level of detail in the response, mention it in your prompt. For example, ask for a "brief overview" or a "detailed explanation." - Avoid Ambiguity: Ambiguity in prompts can lead to vague or off-target responses. Ensure your language is precise and your requests are unambiguous to get the most accurate and relevant information. - Explore Creative Prompting Strategies: Don't be afraid to experiment with different styles of prompting, such as posing hypothetical scenarios, asking for explanations in simple terms, or requesting information as if teaching it to a child. These varied approaches can yield unique and insightful responses.

Any recommendation about ai logo generator?

Hey everyone, wanted to share something I worked on for a video: tutorial walkthrough of how to make AI trailers fast with just AI tools (and slight post-production editing). My goal in sharing this is to: 1. Show you what's possible right now with AI tools 2. Show you a process to be relatively fast and effective. This could be used for: - Product trailers - Marketing videos - Event promos videos I added the video here for reference. Hope it helps!