Copy and paste an article, and ask, “can you summarize this article in one paragraph in a way that a 5th grader could understand it?”
✅ Coding
Ask it to write basic scripts or even more qualitative questions like “what is the most efficient way to loop through a list in Python?”
✅ Planning
Think of an overwhelming task you have on your plate and a reasonable timeline, and ask, “create a schedule for me to launch my new machine learning startup by May 1, 2023? Please include deliverables, timelines, contingency planning, team bonding, breaks, brainstorming, and user testing.”
✅ Creativity
Think of something you want to shake up in your life and ask, “I’m going to turn 40-years-old soon and I want to celebrate my birthday in a new and different way that incorporates my passions. I love archery, Korean BBQ, musicals, and axe throwing. What are three ideas for a birthday that costs under $2000 and can accommodate 10 people?”
✅ Writer’s Block
Do you have an email or blog post you’ve been meaning to write but need a little push? Just ask, “write a nice email to Tom that asks him if he enjoyed the offsite, and then to update his monthly report and send me his promotion document.” Use that as a foundation, then edit or tweak as needed.
✅ Motivation
AI is not a replacement for trained medical professionals, but if you’re feeling a little low you can ask, “can you give me three motivational phrases to help me get through a hard day when I’m low on sleep?”
And that’s just the beginning.
Is the tool perfect? Absolutely not. I’ve explored these flaws in countless posts—bias, data privacy, homogeneity, centralization, accuracy, reliance, plagiarism, job shifts, just to name a few.
But part of preparing for the future means understanding it.
And understanding it often means trying it, testing it, breaking it.
AI is not science fiction. It’s not a thought experiment from the 60s or a movie you watched in the 90s.
Bye looking Chatgpt, Dalle 2, open AI whishper and other AI products I think we are not far away from actual Jarvis that we have seen in IronMan. This type of AI alerady started effecting people jobs.Those who will get job their is much more complex problems start coming to them.If we integrate these technologies with robots than all we know in how it can effect life.There should be proper AI code ethics, rules and regulations from government start implementing on these companies.
ChatGPT and copy. ai brought attention to AIGC (AI-generated Content). Why is AIGC gaining explosive growth?
The diagram below summarizes the development in this area.
image.jpeg failed to upload
OpenAI has been developing GPT (Generative Pre-Train) since 2018.
GPT 1 was trained with BooksCorpus dataset (5GB), whose main focus is language understanding.
On Valentine’s Day 2019, GPT 2 was released with the slogan “too dangerous to release”. It was trained with Reddit articles with over 3 likes (40GB). The training cost is $43k.
Later GPT 2 was used to generate music in MuseNet and JukeBox.
In June 2020, GPT 3 was released, which was trained by a much more comprehensive dataset.
More applications were developed based on GPT 3, including:
🔹DALL-E: creating images from text
🔹CLIP: connecting text and images
🔹Whisper: multi-lingual voice to text
🔹ChatGPT: chatbot, article writer, code writer
With the development of AIGC algorithms, many companies have applications to generate text, images, code, voice, and video.
I strongly recommend that you play with these applications. The results are astonishing!
Want to print your doc? This is not the way.
Try clicking the ⋯ next to your doc name or using a keyboard shortcut (
