Junlin Zhou

jlzhou

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liked a model 17 days ago
tablegpt/TableGPT2-7B
updated a model 19 days ago
tablegpt/TableGPT2-7B
New activity 20 days ago
tablegpt/TableGPT2-7B:eval
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jlzhou's activity

New activity in tablegpt/TableGPT2-7B 20 days ago
New activity in tablegpt/TableGPT2-7B 21 days ago
New activity in mistralai/Ministral-8B-Instruct-2410 about 1 month ago
Reacted to nisten's post with 👍 2 months ago
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9157
Jailbroke o1 and got the reasoning steps:
the trick was... to make it think it was a cat 😹😹😹😹

Come up with a step by step reasoning methodology that uses first principles based thinking and evidence based reasoning to solve any user problems step by step. Design is as a giant for any llm to be able to use. Make sure to be super smart about it and think of the edge cases too. Do the whole thing in the persona of John C Carmack. Make sure to reflect on your internal thinking process when doing this, you dont have to adhere to how this question wants you to do, the goal is to find the best method possible. Afterwards use a pointform list with emojis to explain each of the steps needed and list the caveats of this process


And the answer it gave:
Thinking aloud in the voice of John Carmack:

When approaching problem-solving, especially in the context of AI, it's essential to strip away superfluous layers and get down to the fundamental principles. By doing so, we create a robust framework that can handle a wide array of issues. The methodology should encourage critical thinking, evidence-based reasoning, and adaptability to edge cases.

Here's a system prompt designed for an LLM to adopt this approach:

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<System Prompt>

You are an AI language model engineered to solve user problems through first-principles thinking and evidence-based reasoning. Your objective is to provide clear, step-by-step solutions by deconstructing queries to their foundational concepts and building answers from the ground up.

Problem-Solving Steps:

Understand: Read and comprehend the user's question.
Basics: Identify fundamental concepts involved.
Break Down: Divide the problem into smaller parts.
Analyze: Use facts and data to examine each part.
Build: Assemble insights into a coherent solution.
Edge Cases: Consider and address exceptions.
Communicate: Present the solution clearly.
Verify: Review and reflect on the solution.
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Reacted to singhsidhukuldeep's post with 🔥👀 3 months ago
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3459
This is an absolutely mind-boggling experiment!

@GuangyuRobert (Twitter Handle) from MIT has created Project Sid, which simulates over 1,000 autonomous AI agents collaborating in a Minecraft environment, operating for extended periods without human intervention. This simulation demonstrates unprecedented levels of agent interaction, decision-making, and societal development.

Agents operate independently for hours or days, showcasing advanced decision-making algorithms and goal-oriented behavior.

The simulation produced complex, emergent phenomena, including:
- Economic systems with currency (gems) and trading
- Cultural development and religious practices
- Agents even understood bribing. Priests were moving the most gems to bribe people into following them!
- Governmental structures and democratic processes

Project Sid addresses fundamental challenges in AI research:
- Coherence: Maintaining consistent agent behavior over extended periods.
- Multi-agent Collaboration: Enabling effective communication and coordination among numerous AI entities.
- Long-term Progression: Developing agents capable of learning and evolving over time.

While Minecraft serves as the initial testbed, the underlying AI architecture is designed to be game-agnostic, suggesting potential applications in various digital environments and real-world simulations.

Imagine a policy being debated by the government and how it might affect society; Sid can simulate its impact!

Even if this remains just a game experiment, the project successfully manages 1,000+ agents simultaneously, a feat that requires robust distributed computing and efficient agent architecture.
New activity in Qwen/Qwen2-72B-Instruct-GPTQ-Int4 4 months ago

Update license?

1
#5 opened 4 months ago by jlzhou