is content creating using AI really a solved problem ?

January 6, 2025

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ai is being used extensively to generate content but, here are some things i don't find ok :

  • style (everything sounds the same)
  • no novel ideas (everyone writes the same)
  • yapping (irrelevant information no one needs)
  • non-reliable style cloning (you can't clone styles reliably using few-shot examples)
  • fine-tuning is hard (and i am lazy)
  • people are lazy, no will to self-curate (everybody wants the ai to do everything - but are afraid of AGI lol)

AI Content Creation Issues

what are my thoughts as a consumer ?

i am an ai engineer with above average joe search skills at least. as someone who likes to read blogs and twitter threads, (not linkedin BS, please never :)), these are some things that make me engage with the content :

  • exclusivity of information (i can't get it somewhere else). for example :

    • workflows
    • thoughts on something
    • new experiments
  • writing style (the way someone writes) for example :

    • mark manson (for strong and witty language)
    • sam altman blog (concise, and direct thoughts)
    • dan koe (dense, hard hitting lines that gives you can itch in the mind)

but, what turns me off instantly when i see content is :

  • overuse of emojis (linkedin is professional, since when you started emojis huhhhh !)
  • yapping (ai yaps, but you post that yap - so in my eyes you yapped)
  • irritation while reading the text
  • no personality (why will i read your post if i can get the same things from gpt, better than you can generate tbh :))
  • creating content for the "sake" of it (do some work, and then post it. not work for posting)

now, where does ai comes to the picture ?

all of these things that turns me off while reading, are a direct-effect of using "AI" to generate content for the sake of it, and without a second thought or reading.

just tell me, how can you read this without thinking cringe ? just tell me the truth :

Cringe AI Generated Content

really man ? people will post this. logistics ? just stfu.

now, there is only one problem .

you have heard this one : "a warrior in a garden is better than a gardener in a war" and people are just the "gardeners in war". they don't want to learn how to properly use AI

content is being generated out of FOMO, without even a bit of second thought of differentiation. they don'e even proof-read it.

at least don't outsource your intelligence, take help, don't depend on it !

i hate to see this pollution happening on the internet. everyone with a twitter/linkedin account makes an account and starts yapping (the ai yaps, and they post, so they yap ok !)

i get it, but how can i improve and write good content ?

just three things, that you are trained and made to do will improve everything :

  • think
  • create
  • write

this will make everything better, the internet will still have good enough content. people are not willing to write but are willing to post.

listen up, people who know about your laziness, will instantly reject you. atleast i will if i hire sometimes in the future.

don't generate, "self-curate"

give your own master data and ask chatgpt to edit it minimally and then post something. you will be amazed of the quality you get. this is what it is made for.

look, chatgpt is AI.

AI systems need a goal and context to perform. you give the goal, but the context ? you don't give it

do this simple practice and you will be able to generate good enough content that takes humanity 0.00000000000001 step forward. this is huge contribution. post to help. not to post.

  • do what you are doing, and keep making rough notes at each step
  • combine those notes into one file
  • mark them by date or time as you were writing
  • now, give it to an LLM and ask it to extract insights and my learnings from it
  • there are many ways to do this, experiment and find what you need
  • now, ask it to write a concise linkedin/x post that people can learn from. no yapping
  • now, post it
  • ask for review and then thank me later.

a your post is your own thought, and if even that small thought is generated by an LLM -> idk where you are going

stop yapping, start wrtiing, start posting.

conclusion

content creation was always a problem of self. you will do and you will create. what ai can do, is make the expression of your work and the problems you solved and logged (linkedin/X) posts presentable to other humans and help them learn from it. it won't write what you didn't do. one more thing, remember this .


Final Thoughts on Content Creation

Last updated: January 10th, 2024 - Adding supplementary notes and references to strengthen the core ideas discussed above.


#writing-style Writing style is identified by analyzing patterns in: ^4453c8

  • Diction: Word choice (formal/informal, technical/plain).

  • Syntax: Sentence structure (length, complexity, variety).

  • Tone: Attitude conveyed (sarcastic, serious, humorous).

  • Voice: Distinct personality/perspective.

  • Rhetorical Devices: Use of metaphors, questions, etc.

  • Pacing and rhythm: How quickly does the text move or get slower

Number of Examples for Good Style Analysis:

  • Minimum: At least 5-10 substantial examples of original writing (e.g., tweets, blog posts, paragraphs) are needed for a basic understanding.

  • Ideal: 20+ diverse examples allow for a much more comprehensive and accurate analysis, capturing nuances and inconsistencies.

  • More is better: More diverse examples are needed if the individual writes in different style for different content types, etc.

#writing-style-hitesh ^482d3a

Hitesh Bandhu's Style Guide: A Standard Operating Procedure for Content Creation

Introduction:

This document outlines the specific writing style of Hitesh Bandhu, aiming to provide a comprehensive guide for content creators seeking to emulate his unique voice. The style is characterized by a blend of technical expertise, sharp wit, blunt honesty, and a strong emphasis on practicality.

I. Core Principles of Hitesh Bandhu’s Writing Style:

  1. Unapologetic Honesty & Directness:

    • Instruction: Communicate directly and without pretense. Avoid euphemisms or softening language. State your opinions clearly, even if they are controversial. Don't hold back.
    • Example:
      • Instead of: "It may be argued that some AI applications are not entirely novel."
      • Use: "Most AI apps are just wrappers. Stop acting like they are revolutionary."
    • Consideration: This requires a confident and transparent approach. Don't be afraid to be critical.
    • Specific Words: "fuck," "blunt," "honestly," "dont judge," "sharam aani chahiye" "tbh"
  2. Sardonic Sarcasm & Dry Wit:

    • Instruction: Employ sarcasm and irony subtly, often with a dry delivery. Highlight the absurd aspects of situations and have a self-deprecating sense of humor.
    • Example:
      • Instead of: "The leaderboard seems to have some issues."
      • Use: "the llmsys is the most shittiest LLM leaderboard there is"
    • Consideration: This shows intelligence and a playful skepticism. Don’t take things too seriously.
    • Specific Words: "lol," "hunch," "honestly," "tbh," "maybe"
  3. Practicality & Pragmatism:

    • Instruction: Focus on actionable insights and real-world applications. Avoid abstract discussions and emphasize problem-solving. Cut the fluff.
    • Example:
      • Instead of: "The theoretical concept of input validation is important"
      • Use: "Implement I/O guardrails. Stop wasting money."
    • Consideration: This requires a hands-on, solution-oriented mindset.
    • Specific Words: "implement," "stop," "try," "make," "just"
  4. Technical Competence (But Not Obscurantism):

    • Instruction: Use technical terms with confidence, but don't over-complicate things with jargon. Make explanations clear and accessible.
    • Example:
      • Instead of: "The utilization of complex natural language processing algorithms can enhance output"
      • Use: "Write fastapi apps to integrate llms efficiently."
    • Consideration: This indicates a deep understanding of tech, without alienating non-technical audiences.
    • Specific Words: "LLM," "API," "fine-tune," "guardrails," "datasets"
  5. Passionate & Opinionated Delivery:

    • Instruction: Take strong stances on topics, showcasing clear values. Don't shy away from expressing emotions (frustration, excitement, etc.).
    • Example:
      • Instead of: "The current political situation is not ideal."
      • Use: "Politics doesnt respect human innovation. period. Disgusting."
    • Consideration: This demonstrates engagement and authenticity.
    • Specific Words: "fuck," "disgusting," "I think," "tbh"
  6. Colloquial & Conversational Tone:

    • Instruction: Use informal language (slang, contractions) to create a conversational tone. Directly address the reader.
    • Example:
      • Instead of: "Individuals should consider their habits"
      • Use: "You should stop yapping and start writing bro"
    • Consideration: This fosters approachability and builds rapport.
    • Specific Words: "bro," "guys," "wanna," "btw," "man,"
  7. Rhetorical & Engaging Approach:

    • Instruction: Use rhetorical questions, exclamations, and metaphors to make your points impactful.
    • Example:
      • Instead of: "The process is somewhat complex."
      • Use: "how to achieve so much in 24 hours that it feels illegal."
    • Consideration: This keeps the audience engaged and thinking.
    • Specific Words: "why," "what," "how,"

II. Content-Specific Applications:

  1. Twitter Threads:

    • Structure: Short, punchy tweets in a numbered sequence. Each tweet focuses on one key point. Start with an engaging hook.
    • Tone: Use a conversational tone, employing direct language and sarcasm. Use emojis sparingly.
    • Example: 1/10 : "Is AI content really a solved problem? 🙄Let's break down what's wrong and how to fix it. #AI #ContentCreation #rant" 2/10 : "AI-generated content is just... mush. Zero personality, same boring style. No spice. Like, stahp! 🙅‍♂️"
  2. Blog Posts:

    • Structure: Combine technical details with opinions. Use headings and subheadings to break up text.
    • Tone: Start with a hook, then transition to technical content with a candid, conversational tone.
    • Example:
      • Title: "Fine-Tuning? More Like Fine-Fiddling: My Lazy Engineer's Guide (and Rant)"
      • Opening: "Alright, let's talk about fine-tuning. Or, as I like to call it, fine-fiddling. Because honestly, that's what it feels like most of the time..."
      • Body: "You spend hours curating a dataset, cleaning it up, formatting it just right, and for what? To get a model that, maybe, kinda does what you wanted it to do."
      • Closing: "Get your hands dirty and get to building!"
  3. LinkedIn Updates:

    • Structure: Brief, direct updates that focus on practical insights or personal experiences. Avoid too much jargon or corporate speak.
    • Tone: Use direct language and focus on value. No fluff.
    • Example: "Just implemented guardrails for our new AI app. Saved us a fortune. Stop wasting money on bad inputs. #AI #Guardrails #Tech"

III. Key Words and Phrases:

  • Directives: "do," "just," "lets," "dont," "should," "try," "make," "start," "stop,"
  • Intensity: "really," "very," "damn," "so," "much," "just," "actually," "tbh"
  • Skepticism: "i think," "maybe," "lol," "hunch," "honestly," "tbh"
  • Action/Effort: "building," "shipping," "working," "grind," "lets," "do," "done"
  • Technical: "LLM," "AI," "guardrails," "prompts," "API," "fine-tune," "datasets"
  • Colloquial: "bro," "guys," "shit," "wanna," "btw", "man,"
  • Emphasis: "you," "your," "this," "that,"
  • Contractions: "you're", "I'm", "it's", "they've", "don't", "can't"

IV. Considerations:

  • Authenticity: Strive to be yourself, not just a clone. This guide helps to emulate my style, but your voice should shine through.
  • Audience: Be mindful of the audience, but never compromise on your tone.
  • Iterate: Use feedback to refine your writing, but stay true to the style outlined here.

V. Conclusion

This Style Guide is a tool designed to help content creators channel the core elements of Hitesh Bandhu's style. Consistency and application of these guidelines will be key to successfully emulating the distinctive voice and message. This is a living document, so iterate with feedback, and keep building.

By following this SOP, content creators can produce writing that captures the essence of Hitesh Bandhu's style, making their communication both impactful and engaging.