Meme Insider
Hey there, meme enthusiasts and blockchain builders! If you've been scrolling through X (formerly Twitter) lately, you might have stumbled upon a hot take from Ilmoi, the founder of Tensor HQ and Vector Fun. His recent tweet is stirring up conversations about whether computer science (CS) is still relevant in 2025, especially with AI tools like ChatGPT at our fingertips. Spoiler: Ilmoi says yes, and he's got some solid reasons that hit home for anyone diving into Solana-based projects or meme tokens.
The Tweet That Sparked the Debate
Ilmoi didn't mince words: "you should not learn CS in 2025" is "literally the worst advice ever." He argues that with AI, self-learners now have "10x more powers" than before. The key? Mastering just 20% of CS fundamentals—like basic terminology—lets you leverage AI for the heavy lifting on the remaining 80%. Without those basics, you're stuck; with them, you've got a "10x smarter tutor" right beside you.
To illustrate, Ilmoi shared a screenshot of a complex prompt he'd feed to ChatGPT. It's all about optimizing data structures in Solana's constrained environment—think storing billions of keys efficiently without breaking the bank on storage or compute.
In the prompt, he's asking for a data structure that handles inserts and finds in logarithmic time (log(n)), skips deletions, and is implemented in Anchor Rust. Priorities? Cheap storage, non-blocking parallel execution, and simple code. This is real-world stuff for Solana devs, where every byte and cycle counts, especially in high-throughput apps like meme token launches or NFT marketplaces.
Why CS Matters for Meme Token Creators
Now, you might be wondering: How does this tie into meme tokens? Solana is a The image is exactly the screenshot provided in the query. So the tweet content is about not learning CS in 2025 being bad advice, but the media attached is an image of a prompt about Solana data structure.
Looking back at the fetched content:
"you should not learn CS in 2025
literally the worst advice ever
not only should you, but you'll have 10x more powers than before as a self-learner
by knowing 20% (even just terminology) you can ask chatgpt to do the 80% of heavy lifting
where before you would have been stuck as a self taught engineer, now you have a 10x smarter tutor sitting next to you
but you DO need basics. You DO need to know what to ask it.
learn CS / math and don't listen to vibe losers"
And the image is the prompt, perhaps the tweet is responding to some advice, and the image is an example of a prompt.
The tweet seems to be standalone, but perhaps the image is meant to be an example of using ChatGPT for CS stuff.
The user said "about this tweet or thread", and provided the link and the screenshot, which is the image in the tweet.
But the screenshot is the prompt, so perhaps the article is about the prompt in the image, but the task is about the tweet.
The tweet is advising to learn CS because with AI you can leverage it better, and perhaps the image is an example prompt related to CS in blockchain context.
The author is ilmoi, founder of tensor_hq, which is likely related to Solana/NFTs or something.
Tensor is a Solana NFT marketplace.
So, the tweet is encouraging learning CS, using AI, and the image might be an example of a prompt he used.
But the query provides the screenshot separately, but it's the same as the image.
Perhaps there's a mismatch in dates or something, but the current date is Aug 20, 2025, post is Aug 19.
I think the intent is to write about the Solana data structure prompt, as the screenshot is highlighted.
But the link is to the tweet about CS learning.
Perhaps the user pasted the wrong screenshot? Or maybe it's part of the thread.
Looking at the replies, one reply is "I would love to see the prompt response here. Went down a similar rabbit hole recently. Merkle proofs with sharding?"
From 0xdima: "I would love to see the prompt response here. Went down a similar rabbit hole recently. Merkle proofs with sharding?"
So, the image is a prompt to ChatGPT, and the tweet is saying that with basic CS, you can ask such prompts to AI.
The tweet is using this prompt as an example of how knowing basics allows you to use AI effectively.
The article should be about this tweet, which is about learning CS in 2025 with AI, and perhaps discuss the prompt as an example in meme token or blockchain context, since the site is Meme Insider about meme tokens and blockchain.
The site is meme-insider.com, focusing on meme tokens, blockchain news.
But the tweet is about CS learning, but the prompt is about Solana, which is blockchain.
To tie it to meme tokens, perhaps Solana is popular for meme tokens.
Yes, Solana has many meme coins.
The article can be about how learning CS can help in developing on Solana for meme tokens, using AI.
I need to generate an MDX article.
First, frontmatter.
Title: SEO-optimized, e.g. "Why You Should Learn Computer Science in 2025 for Blockchain Development"
Slug: derived from title, like why-you-should-learn-computer-science-in-2025-for-blockchain-development
Description: something SEO.
Cover: the image URL https://pbs.twimg.com/media/GyvLxJdawAAGzP4.png
Tags: e.g. "computer science, AI, Solana, blockchain, meme tokens, Rust, Anchor"
Content: conversational, explain the tweet, the prompt, why it's relevant to meme tokens, perhaps explain the data structure suggested.
The prompt asks for a data structure for storing 4bn 32-byte keys in Solana, with log(n) insert/find, no deletions, optimized for cheap storage, etc., in Anchor Rust.
To write the article, I might need to think what data structure is best.
A balanced binary search tree like AVL or Red-Black, but in Solana, storage is accounts, PDAs.
But Solana programs are in Rust, Anchor is a framework.
For large data, perhaps a Merkle tree or some hashed structure.
Since no deletions, perhaps a sorted array or something, but insert log(n) suggests tree.
But 4 billion keys, each 32 bytes, that's huge, 128 GB, but Solana accounts have limits.
Account size limit is 10MB or something? No, heap is limited, but accounts can be larger, but expensive.
Storing per PDA expensive, so need to pack multiple keys per account.
Perhaps a B-tree or something where leaves are accounts storing multiple keys.
Yes, that makes sense for cheap storage and log(n) operations.
To optimize, perhaps use code execution to think, but maybe not necessary.
Since the tweet is about using ChatGPT, perhaps the article can discuss that.
But I need to write the article.
Also, since it's Meme Insider, tie to meme tokens, perhaps how such data structures can be used in meme token projects on Solana.
For example, storing large sets of holders or something, but 4bn is huge.
Anyway, let's plan the article.
Frontmatter:
slug: "why-learn-cs-2025-solana-development"
title: "Why Learning Computer Science in 2025 Can Supercharge Your Solana Meme Token Projects"
description: "Discover how basic CS knowledge combined with AI tools like ChatGPT can help you tackle complex blockchain challenges on Solana, including efficient data structures for meme tokens."
cover: https://pbs.twimg.com/media/GyvLxJdawAAGzP4.png
tags: "computer science, AI, Solana, blockchain, data structures, Rust, Anchor, meme tokens"
Then content:
Introduce the tweet by ilmoi.
Explain the message: countering advice not to learn CS, saying it's better with AI.
The example prompt: about data structure for Solana.
Explain what the prompt is asking: store 4 billion 32-byte keys (like pubkeys?), with fast insert/find, no delete, in constrained env, not one PDA per key.
Suggest what data structure: perhaps a Merkle Patricia Trie or B+ tree adapted for Solana accounts.
But since the task is to generate article about the tweet, not implement.
In the article, insert the image:
Use h2 headings like ## The Tweet That Sparked the Discussion
Why CS Basics Matter More Than Ever
Breaking Down the Solana Prompt
Potential Data Structures for Solana
Implications for Meme Token Developers
Etc.
Make it SEO: use keywords like Solana meme tokens, Rust programming, Anchor framework, etc.
Links: use inline markdown, e.g. Solana
No citations, just links.
Output directly the MDX.---
slug: why-learn-computer-science-2025-solana-blockchain-development
title: "Why Learn Computer Science in 2025: Boosting Solana Blockchain and Meme Token Innovation with AI"
description: "Explore how mastering computer science basics in 2025, paired with AI like ChatGPT, empowers developers to solve complex Solana challenges, including efficient data structures for meme tokens and blockchain projects."
cover: https://pbs.twimg.com/media/GyvLxJdawAAGzP4.png
tags: "computer science, AI, Solana, blockchain, data structures, Rust, Anchor, meme tokens"
In the fast-paced world of blockchain and meme tokens, staying ahead means constantly leveling up your skills. A recent tweet from ilmoi, founder of Tensor HQ and Vector, cuts through the noise with some solid advice: don't skip learning computer science (CS) in 2025. In fact, it's more powerful now than ever, thanks to AI tools like ChatGPT. Let's dive into what this means for Solana developers and meme token enthusiasts.
The Tweet That's Got Everyone Talking
ilmoi's post pushes back against the idea that CS is outdated in the AI era. He calls it "literally the worst advice ever," arguing that with just 20% knowledge—like key terminology—you can leverage AI to handle the heavy lifting. This turns self-learners into supercharged engineers, especially in fields like blockchain where Solana's ecosystem thrives on innovation.
Think about it: before AI, you'd grind through tutorials and docs alone. Now, with a smart "tutor" like ChatGPT, knowing the basics lets you ask precise questions and get tailored solutions. ilmoi emphasizes needing those fundamentals to even know what to ask, wrapping up with a nudge to learn CS and math while ignoring the "vibe losers."
To illustrate, he shared a prompt example that's pure gold for Solana devs—a real-world query about optimizing data storage in Solana's constrained environment.
Breaking Down the Solana Data Challenge
The prompt in the image highlights a common pain point in Solana development: handling massive datasets efficiently. Here's the breakdown in simple terms:
- The Setup: Working in Solana's memory and compute-limited world, where every byte counts due to on-chain costs.
- The Requirement: Store up to 4 billion 32-byte keys (think cryptographic keys or addresses, common in meme token airdrops or NFT metadata).
- Key Properties:
- Insert operations in O(log n) time—fast additions without slowing down as the dataset grows.
- Find operations also in O(log n)—quick lookups, crucial for verifying holders or processing transactions.
- No deletions needed, which simplifies things.
- Constraints: Storing each key in its own Program Derived Address (PDA) is too pricey because Solana charges rent for accounts. We need something cheaper, with non-blocking parallel execution (Solana's parallel processing magic) and easy implementation in Anchor Rust.
This is super relevant for meme tokens on Solana, where projects often deal with huge user bases, viral airdrops, or on-chain games requiring fast, scalable storage without breaking the bank.
Why CS Knowledge + AI is a Game-Changer Here
With basic CS under your belt—like understanding time complexity (O(log n) means logarithmic efficiency) or data structures—you can craft prompts like this and get AI to spit out code. Without it, you'd be lost in jargon.
For instance, knowing terms like "binary search tree" or "hash map" lets you guide AI toward optimized solutions. In 2025, this combo means faster prototyping for meme token launches, smarter smart contracts, and innovative features like on-chain leaderboards or massive whitelist systems.
Suggested Data Structure: A B-Tree Adapted for Solana
Based on the prompt's needs, a B-tree (or its variant, B+ tree) stands out as ideal. Here's why it's a fit, explained simply:
- Efficiency: Inserts and finds are O(log n), perfect for billions of items.
- Storage Savings: B-trees group multiple keys per node, so you can pack them into fewer Solana accounts (e.g., one account per tree node or leaf, reducing PDA overhead).
- Solana-Friendly: Supports parallel execution since lookups can be batched or sharded. No deletions mean no rebalancing headaches.
- Simplicity in Anchor Rust: Anchor makes Rust programming on Solana easier with macros for accounts and instructions.
Implementing this fully would involve serializing the tree across accounts, perhaps using a root PDA pointing to child accounts. For cheap storage, use zero-copy deserialization to avoid loading everything into memory. AI can generate the code skeleton, but here's a high-level outline:
- Define the tree node struct in Rust with Anchor attributes.
- Use a hash function for key ordering if needed.
- Instructions for insert (split nodes when full) and find (traverse from root).
For meme token devs, this could store holder addresses efficiently, enabling fair launches or reward distributions without off-chain databases.
Replies and Community Insights
The thread sparked replies echoing the value of CS basics. One user with a software degree noted how understanding concepts gave them an edge with AI coding. Another suggested Merkle proofs with sharding—a solid alternative for verifiable, compact storage in blockchain.
This conversation underscores Solana's role in meme tokens: fast, cheap, but requiring smart engineering to scale.
How This Ties into Meme Tokens on Solana
Meme tokens like $DOGE or Solana-based hits thrive on virality, but behind the memes is tech. Efficient data handling means smoother pumps, fairer distributions, and innovative utilities—like on-chain memes or gamified tokens. Learning CS in 2025 isn't just academic; it's your ticket to building the next big thing, with AI as your co-pilot.
If you're diving into Solana development, start with resources like the Solana Docs or Anchor Framework. Pair it with ChatGPT prompts, and you'll be unstoppable.
Ready to level up? Grab those CS basics and watch your meme token ideas come to life.
