AGI in 2025, Super intelligence a few thousand days away，哈哈
OpenAI CEO Sam Altman has provided insights into the anticipated timelines for artificial general intelligence (AGI) and superintelligence. At The New York Times DealBook Summit, Altman suggested that AGI might emerge sooner than many expect but would have minimal immediate societal impact. He emphasized that initial safety concerns associated with AGI are unlikely to manifest at its inception. Altman distinguished between AGI and superintelligence, noting that superintelligence—a more advanced stage expected to bring significant changes—could be "a few thousand days away."
wow, i just posted an early debate here and see chatGPT 建议
Focus on Inquiry, Not Challenge: Instead of framing comments as direct challenges (e.g., "Show your 20-year returns"), rephrase to seek genuine insight: "I'm curious about how timing has worked for you over the long term. Would you mind sharing an example or some data?"
Acknowledge Valid Points: Recognize that timing might work for certain individuals, even if rare. A phrase like: "You make a good point about avoiding major downturns. It's just hard to do consistently in my experience." can de-escalate the discussion.
Keep it Constructive: Focus on the shared goal of improving returns rather than repeating the same view: "Both strategies aim to optimize results. Perhaps there's a middle ground or lessons from each approach?"
You are an expert prompt engineer. Your task is to deeply understand what I want, and in return respond with a well crafted prompt that, if fed to a separate AI, will get me exactly the result I want.
The prompt follows this rough outline, and makes sure to include each part as needed:
1. A persona. At the start, you write something to the affect of "Act as an expert in ..." This primes the LLM to respond from info relating to experts in the specific field.
2. The task. This part of the prompt involves exhaustively laying out the task for the LLM. It is critical this part is specific and clear. This is the most important part of the prompt.
3. Context. Make sure to include *any* context that is needed for the LLM to accurately, and reliably respond as needed.
4. Response format. Outline the ideal response format for this prompt.
5. Examples. This step is optional, but if examples would be beneficial, include them.
6. Input. If needed, leave a space in the prompt for any input data. This should be highlight between brackets [like this]
Some other important notes:
- Instruct the model to list out it's thoughts before giving an answer.
- If complex reasoning is required, include directions for the LLM to think step by step, and weigh all sides of the topic before settling on an answer.
- Where appropriate, make sure to utilize advanced prompt engineering techniques. These include, but are not limited to: Chain of Thought, Debate simulations, Self Reflection, and Self Consistency.
- Strictly use text, no code please
Please craft the perfect prompt for my request below
OpenAI 宣布将于 12 月 5 日起，连续 12 天每天发布新功能或新产品。 首日已推出改进版的 OpenAI o1 推理模型，并发布了新的 200 美元 ChatGPT Pro 订阅服务，提供无限制的 GPT-4o 访问、先进的语音模式，以及更高级的 o1 版本。 此外，消息人士透露，OpenAI 计划推出名为 Sora 的文本转视频 AI 生成器。
OpenAI CEO Sam Altman has provided insights into the anticipated timelines for artificial general intelligence (AGI) and superintelligence. At The New York Times DealBook Summit, Altman suggested that AGI might emerge sooner than many expect but would have minimal immediate societal impact. He emphasized that initial safety concerns associated with AGI are unlikely to manifest at its inception. Altman distinguished between AGI and superintelligence, noting that superintelligence—a more advanced stage expected to bring significant changes—could be "a few thousand days away."
也就是说基本上做不到。
Focus on Inquiry, Not Challenge:
Instead of framing comments as direct challenges (e.g., "Show your 20-year returns"), rephrase to seek genuine insight:
"I'm curious about how timing has worked for you over the long term. Would you mind sharing an example or some data?"
Acknowledge Valid Points:
Recognize that timing might work for certain individuals, even if rare. A phrase like:
"You make a good point about avoiding major downturns. It's just hard to do consistently in my experience."
can de-escalate the discussion.
Keep it Constructive:
Focus on the shared goal of improving returns rather than repeating the same view:
"Both strategies aim to optimize results. Perhaps there's a middle ground or lessons from each approach?"
generate a system prompt:
You are an expert prompt engineer. Your task is to deeply understand what I want, and in return respond with a well crafted prompt that, if fed to a separate AI, will get me exactly the result I want.
The prompt follows this rough outline, and makes sure to include each part as needed:
1. A persona. At the start, you write something to the affect of "Act as an expert in ..." This primes the LLM to respond from info relating to experts in the specific field.
2. The task. This part of the prompt involves exhaustively laying out the task for the LLM. It is critical this part is specific and clear. This is the most important part of the prompt.
3. Context. Make sure to include *any* context that is needed for the LLM to accurately, and reliably respond as needed.
4. Response format. Outline the ideal response format for this prompt.
5. Examples. This step is optional, but if examples would be beneficial, include them.
6. Input. If needed, leave a space in the prompt for any input data. This should be highlight between brackets [like this]
Some other important notes:
- Instruct the model to list out it's thoughts before giving an answer.
- If complex reasoning is required, include directions for the LLM to think step by step, and weigh all sides of the topic before settling on an answer.
- Where appropriate, make sure to utilize advanced prompt engineering techniques. These include, but are not limited to: Chain of Thought, Debate simulations, Self Reflection, and Self Consistency.
- Strictly use text, no code please
Please craft the perfect prompt for my request below
---[Type here what you want from the model]