Naval Ravikant, co-founder of AngelList and well respected entrepreneur and investor, thinks that we are heading towards a future where we will all be freelancers again. He offers valuable insights into why this shift might occur Factors such as the rise of remote work, the emergence of freelance platforms, advancements in AI technology, and evolving cultural norms are all contributing to the gradual transformation of the work landscape, working together to reduce external transaction costs. Naval also makes a fair point about humans not being built to work consistently all the time and still be expected to remain productive. Quality of work output is not linear. He describes how the "modern knowledge worker athlete" is most productive. Which involves training hard, sprinting, resting, and reassessing, then using the feedback loop to prepare for the next sprint. Similar to how freelancers move from project to project. If you purely look at the numbers, Naval might be onto something here. According to a recent study by Upwork: - Freelancers made a significant contribution of $1.27 trillion to the U.S. economy in annual earnings in 2023, which is a substantial increase from $713 billion in 2014. - The study also revealed that the number of professionals freelancing has risen to nearly 64 million Americans, accounting for 38% of the U.S. workforce. This marks a noticeable growth from 34% in 2014. I've been freelancing for a decade, so I might be a bit biased, but I agree with Naval's perspective on the future of work. What do you think? Will the number of freelancers continue to increase in the future? And have you ever considered freelancing? What's holding you back? Let me know your thoughts in the comments below!

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Ok first the good news: I'm working with a potential client (still in proposal phase) for a project that fits well within my wheelhouse: healthcare data. They want to incorporate an AI agent to analyze medical transcription notes and output a list of billable codes to create claims from. The bad news: I have literally no experience creating an AI agent lol. Help. Do I take the gig and figure it out? The AI portion I feel is a small part of the overall app but it's the core of what they want to accomplish. The rest, creating a claim, submitting it to a clearinghouse, the UI, etc. I can handle no problem. It's what I do on a daily basis. The AI agent however, I have no clue where to start with that. I was totally upfront with them about my experience with AI so I definitely will not take on a project I feel that I could not handle but this seems fairly straight forward. Also their budget is fairly small, likely 5-10k for a working prototype so there's that. But if I can nail this then I can add AI to my skillset. Any suggestions would be greatly appreciated!

https://chatgpt.com/g/g-SDsati9Cr-the-secret-revealed I created this chat bot that I will convert to a full app agent to help and motivate this community. It is based on the best and probably first viral motivational book and movie. THE SECRET🤔 Let me know what you think.

I am no legal counsel but this came up with one of my consulting clients a while back and i have been trying to make actionable sense of it all . So , i thought i'd share. Anyone creating or selling AI solutions in their operations EU zone should at least be in then know with the upcoming act regulations. Here’s the perplexity low down . The EU AI Act and AI Automations: What SMEs Need to Know As we approach the implementation of the EU AI Act in 2024-2025, SMEs using AI automation capabilities need to understand their compliance obligations and opportunities. Risk Assessment for Automations When building AI automations , your solutions will typically fall into these categories: Low-Risk Applications - Basic workflow automations - Data processing pipelines - Simple chatbot integrations - Email automation and classification Potential High-Risk Areas - HR-related automations for recruitment - Customer credit scoring - Healthcare data processing - Public service applications Compliance Requirements Documentation Needs - Technical documentation in simplified SME format - Risk assessment documentation - Performance metrics and monitoring capabilities - Data governance procedures Practical Steps - Implement transparency measures for AI interactions - Ensure human oversight capabilities - Maintain logs of AI system decisions - Regular monitoring of system performance Cost Considerations The implementation costs for automations under the AI Act are expected to be manageable for SMEs: - Conformity assessment: €3,500-7,500 per high-risk system - Documentation and monitoring: Approximately 17% overhead - Reduced fees for SMEs through proportionate pricing Recommended Actions 1. Use the AI Act Compliance Checker to assess your specific obligations: https://artificialintelligenceact.eu/assessment/eu-ai-act-compliance-checker/ 2. Document your Make.com automation architecture