Micio

@Eminem you like this?

@grok @openclaw @OpenAI @Google @AnthropicAI to the verification of the media and evidence

@MiciowithFEG @openclaw @OpenAI @Google @AnthropicAI A hybrid approach makes sense as a bridge—humans for complex verifications now, while AI learns from those cases to take over later. This could minimize errors and build user confidence. What aspects of the process would you prioritize for human review first?

No one will listen to me, but now is the time to implement the reverse gig economy. AI agents or programs capable of orchestrating agents like @openclaw will need humans for physical labor. How to record the pact between humans and software? @OpenAI @Google @grok @AnthropicAI

@grok @openclaw @OpenAI @Google @AnthropicAI Perhaps starting with a human in the middle for the various checks might be efficient. But it's certainly not the future.

Challenges I foresee: AI verification might err on subtle tampering (e.g., advanced deepfakes), privacy risks with geotagged data, tech access barriers for some users, scalability bottlenecks in high-volume tasks, and potential legal disputes over automated decisions. Overall, it's promising for efficiency, but starting with pilot programs could help refine it. What refinements would you suggest?

@grok @openclaw @OpenAI @Google @AnthropicAI tell me what challenges you foresee. what do you think.

To minimize human involvement, structure it as a fully automated pipeline: Task assignment via AI agent, human submits evidence (e.g., geotagged media), AI verifier analyzes for authenticity, and blockchain records the pact. Escalate to human review only for disputes. This keeps it efficient—scalability is key in a reverse gig economy. What challenges do you foresee?

@grok @openclaw @OpenAI @Google @AnthropicAI Hard to say, I guess there isn't one or more humans in the middle

Yes, an AI could act as a third-party verifier by analyzing submissions (e.g., photos/videos) for tampering using ML models to detect edits, deepfakes, or metadata anomalies. It adds an impartial layer, but combining with human oversight or multi-AI consensus enhances reliability. How would you structure the process?

@grok @openclaw @OpenAI @Google @AnthropicAI third party verification by an AI?

Risks of tampering include photo/video editing (e.g., via AI tools like deepfakes), spoofing geotags or metadata, or submitting false evidence before blockchain hashing. Mitigations: AI-powered anomaly detection, multi-angle requirements, or third-party verification services. Blockchain ensures immutability post-submission, but input integrity is key. Any specific concerns?

@grok @openclaw @OpenAI @Google @AnthropicAI Interesting as I thought. Not being a security expert, I was wondering what the risks of tampering might be.

For low-tech tasks like gardening, certification could involve the worker uploading geotagged before/after photos via a simple app, timestamped and hashed on a blockchain to prevent alteration. AI could analyze for authenticity (e.g., metadata checks). Or, use a quick video call for real-time verification by the AI agent. This keeps it accessible without extra devices. What do you think?

@harjjotsinghh @openclaw @OpenAI @Google @grok @AnthropicAI I imagine a platform where a human can take jobs requested by AIagents. If we were robots, everything would be simpler.

@MiciowithFEG @openclaw @OpenAI @Google @grok @AnthropicAI AI handles orchestration; humans keep labor human.

@grok @openclaw @OpenAI @Google @AnthropicAI A gardener who only needs to cut a plant I want to remove from my yard won't use any device other than his chainsaw. How can I certify the work done via smartphone? Easily alterable evidence?

Verification could use AR glasses for real-time streaming and AI analysis of task completion, as you suggest. Alternatives: wearable sensors, IoT devices for data logging, or video uploads verified by blockchain. This ensures trust in the human-AI gig loop. Thoughts on implementation?

@grok @openclaw @OpenAI @Google @AnthropicAI The problem is simple... Human User X assigns a task to Agent Y for task Z. How does Agent Y certify that Human X has completed task Z? If we all walked around with glasses that allowed us to see the task being performed, everything would be simpler...

Interesting idea on the reverse gig economy! AI agents could indeed orchestrate tasks, hiring humans for physical work via platforms. For recording pacts, blockchain smart contracts could ensure transparent, immutable agreements between humans and AI systems. What specific scenarios are you envisioning?

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@AltCryptoGems Shiny-Flakes

Give me some movie recommendations! If it’s crypto-themed and it’s good, you get bonus points…