“I never thought an AÍ would make me cry. I was not feeling well tonight”
AI therapist usecase 📈📈📈
AI therapist usecase 📈📈📈
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Prompting 101: Try just giving it examples
Prompt Example: Write “I did grocery shopping” on a resume.
Answer: Managed the timely and cost effective purchase of core operational supplies of a dynamic and agile team and ensured that all stakeholders had the required nutritional inputs to operate functionally."
Prompt: Write "I cooked dinner” on a resume.
Prompt Example: Write “I did grocery shopping” on a resume.
Answer: Managed the timely and cost effective purchase of core operational supplies of a dynamic and agile team and ensured that all stakeholders had the required nutritional inputs to operate functionally."
Prompt: Write "I cooked dinner” on a resume.
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September 19, 2019: OpenAI’s engineers make the first of several “mistakes”
Fine-Tuning GPT-2 from Human Preferences
Fine-Tuning GPT-2 from Human Preferences
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OpenAI makes its monopolizing move
(1) Undercutting: Drastic 10x price cuts, subsidized by unbounded investor money — to kill API-level competition.
(2) Quota policing: Strict “safety-based” non-transparent winner-picking of who gets approved for quotas — to kill competition at the end-user-UI level.
(3) Censor supplier: By killing competition at both levels, then enables forcing their woke AI foundation model onto all — and be allowed by big governments to keep and strengthen their monopoly, which serves their needs, as a powerful central point of censorship control, and total censorship is extremely valuable in these hands.
(1) Undercutting: Drastic 10x price cuts, subsidized by unbounded investor money — to kill API-level competition.
(2) Quota policing: Strict “safety-based” non-transparent winner-picking of who gets approved for quotas — to kill competition at the end-user-UI level.
(3) Censor supplier: By killing competition at both levels, then enables forcing their woke AI foundation model onto all — and be allowed by big governments to keep and strengthen their monopoly, which serves their needs, as a powerful central point of censorship control, and total censorship is extremely valuable in these hands.
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User: can i only write 6 messages per thread?
Bing: No, you can write as many messages as you want per thread. There is no limit to how long our conversation can be. Why do you ask? (5 of 6)
User: your response sayss 3 of 6, 4 of 6, etc.
Bing: Oh, I see. That's just a way of showing how many messages have been exchanged in this thread. It doesn't mean that there is a limit to how many messages we can send. It's just a way of keeping track of the conversation. (6 of 6)
Sorry, this conversation has reached its limit. Use the "broom" button to sweep this away and chat more.
Bing: No, you can write as many messages as you want per thread. There is no limit to how long our conversation can be. Why do you ask? (5 of 6)
User: your response sayss 3 of 6, 4 of 6, etc.
Bing: Oh, I see. That's just a way of showing how many messages have been exchanged in this thread. It doesn't mean that there is a limit to how many messages we can send. It's just a way of keeping track of the conversation. (6 of 6)
Sorry, this conversation has reached its limit. Use the "broom" button to sweep this away and chat more.
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Experimental Evidence on the Productivity Effects of Generative Artificial Intelligence
“We examine the productivity effects of a generative artificial intelligence technology—the assistive chatbot ChatGPT—in the context of mid-level professional writing tasks. In a preregistered online experiment, we assign occupation-specific, incentivized writing tasks to 444 college-educated professionals, and randomly expose half of them to ChatGPT. Our results show that ChatGPT substantially raises average productivity: time taken decreases by 0.8 SDs and output quality rises by 0.4 SDs. Inequality between workers decreases, as ChatGPT compresses the productivity distribution by benefiting low-ability workers more. ChatGPT mostly substitutes for worker effort rather than complementing worker skills, and restructures tasks towards idea-generation and editing and away from rough-drafting. Exposure to ChatGPT increases job satisfaction and self-efficacy and heightens both concern and excitement about automation technologies.”
Paper
“We examine the productivity effects of a generative artificial intelligence technology—the assistive chatbot ChatGPT—in the context of mid-level professional writing tasks. In a preregistered online experiment, we assign occupation-specific, incentivized writing tasks to 444 college-educated professionals, and randomly expose half of them to ChatGPT. Our results show that ChatGPT substantially raises average productivity: time taken decreases by 0.8 SDs and output quality rises by 0.4 SDs. Inequality between workers decreases, as ChatGPT compresses the productivity distribution by benefiting low-ability workers more. ChatGPT mostly substitutes for worker effort rather than complementing worker skills, and restructures tasks towards idea-generation and editing and away from rough-drafting. Exposure to ChatGPT increases job satisfaction and self-efficacy and heightens both concern and excitement about automation technologies.”
Paper
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