A Filipino virtual assistant was replaced by AI, sparking comments that reveal widespread misunderstanding of AI capabilities; the author argues that poor prompting and lack of AI fluency, not the tools themselves, lead to unsatisfactory results.
A Filipino VA got replaced by AI. The comments revealed more bitterness than AI knowledge. The weirdest part wasn't the layoff. It was reading comments like: "ChatGPT couldn't come up with copies as witty as humans." "Gemini and ChatGPT have shit writing skills." "I boycotted the app." "Humans have done amazing works in millennia without this bullshit that's hurting people and the environment." "AI is helpful but if you've seen the kind of copies and captions it produces, you'd cringe a lot." "We are spending more time than before editing the things he's generating." And then realizing almost nobody was talking about AI fluency. Nobody was talking about context. Nobody was talking about references. Nobody was talking about iteration. Nobody was talking about agents. Nobody was talking about workflows. Nobody was talking about Description, Delegation, Discernment, and Diligence. Instead, the entire discussion felt like: Prompt once → bad result → AI bad 😭 The funny part is the people getting amazing results and the people getting garbage are often using the exact same model. The difference is usually the operator. Description. Can you clearly explain the objective, audience, tone, context, references, and constraints? Delegation. Do you actually know which parts should be done by AI and which parts should stay human? Discernment. Can you tell the difference between a weak output and a strong one? Diligence. Are you refining, iterating, rejecting bad outputs, fact-checking, and improving the direction? Because honestly, when I read: "ChatGPT couldn't come up with copies as witty as humans." My first question isn't "Wow AI sucks." My first question is "What exactly did you ask it?" 😭 The same people calling prompting "brainless" are accidentally proving it isn't. If it was brainless, everyone would get the same output. They don't. Some people get garbage. Some people build businesses. Some people automate workflows. Some people cut ten hours of work into two. Some people are still arguing with Prompt #1. The environmental argument was funny too. Every time the discussion got back to capability, workflow changes, or productivity, somehow it immediately became: Data centers. Water. Humanity. Civilization. Sam Altman. As if OpenAI is the entire AI industry. Meanwhile there's Anthropic, Google, Meta, open-source models, AI safety researchers, ethicists, scholars, and entire teams working on different approaches. The water and energy concerns are real. Nobody serious denies that. But every civilization-scale technology has tradeoffs. Cars. Aviation. Smartphones. Streaming. Cloud infrastructure. Manufacturing. The internet itself. The difference is some people ask, "How do we improve it?" Others stop at, "Therefore technology bad." And honestly, I think that's why the comments were more interesting than the layoff. Because the discussion wasn't really about AI. It was about what happens when a tool starts touching work people thought was untouchable. Great writers will still be great writers. Great artists will still be great artists. Great strategists will still be great strategists. But if some random college kid understands context, prompting, agents, iteration, workflows, and AI systems better than you, there's a very real chance that kid produces a better result than someone with years more experience. Not because the kid is smarter. Not because AI is magic. Because while some people were busy learning the tools, others were busy writing essays about why the tools shouldn't exist. Honestly, I don't think people are scared of ChatGPT. I think people are scared of the guy using ChatGPT better than they are. 😭
An employee used an AI agent to auto-respond to Slack messages, and it gave a confidently wrong answer about a client deadline, highlighting the risk of trusting tone and fluency over accuracy.
A developer shares their experience replacing a human assistant with AI agents, and ultimately building a shared memory layer tool called Orbitagents.xyz to solve context retention issues across different AI sessions.
The author reflects on how reliance on AI tools for writing and coding has diminished their own skills, leading to self-doubt and a decision to retrain.
A Twitter user argues that people underestimate AI because they see it as just a chatbot, but the real impact will come when AI agents autonomously handle tasks like booking, emails, and paperwork.
The author argues that current AI excels at processing transcript language but misses non-verbal cues like hesitation and tone, highlighting a gap between understanding language and understanding human communication.