"Generate creative 100x effective content Ideas for the LinkedIn carousel
Details:
Title: SEO
Ideas into table view list"
2. Sub-content creation:
𝗣𝗿𝗼𝗺𝗽𝘁:
"Stage sub-content creation:
8-slide LinkedIn carousel (each slide with the same number of words) (content idea: 8 Top Bad and Outdated SEO Techniques to Avoid) #Bold headline Add CTA at the end and my username @eyishazyer"
3. Generate marketing copy
𝗣𝗿𝗼𝗺𝗽𝘁:
"Write a catchy description for (AirPods Pro) new product (Use the writing style of Seth Godin) #simple"
4. Creative writing
It can write:
→ Poems
→ Stories/books
→ Music and lyrics
→ Scripts for anything
It can even write quotes for your IG theme page
𝗣𝗿𝗼𝗺𝗽𝘁: ”the most stronger words said by big people about AI all the time in history or will be in future”
5. Learn Anything Faster
𝗣𝗿𝗼𝗺𝗽𝘁:
"Break down (a topic you’d like to understand) into smaller, more manageable chunks. Make the subject more relevant by using analogies and real-life experiences."
6. Edit your writing
𝗣𝗿𝗼𝗺𝗽𝘁:
"Rewrite each bullet point in a manner
Set the tone with the right words
Cut 90% of the time words like "very," "really," "thing," "just," and "that."
If this thread is worth your time:
1. Follow me @eyishazyer for more 2. If you wanna support me go back to 1st tweet and rt
Love you all❤️
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Here's are true reasons why hallucinations occur, as shown in the paper, along with 6 solutions🧵
1. AI is trained in such a way that it cannot say
"I don't know"
The biggest cause of hallucinations lies in the AI's training method itself.
In the current evaluation systems, even if the answer is incorrect, guessing provides a higher score than answering "I don't know," so the AI ends up learning to actively lie (bluff).
2. "Accuracy Supremacy"
Encourages Lying Benchmarks that measure AI performance basically only look at whether the answer is correct or incorrect.
Answering "I don't know" gets 0 points, so even in uncertain cases, guessing yields a higher expected value.
This "test-soaked" state has been producing AIs that confidently lie.