There is a particular kind of exhaustion that has no good name. It is not tiredness from physical labor that at least carries with it the decency of honest depletion. It is not the fuzzy fatigue of illness. It is something closer to the feeling of spending eight hours performing the elaborate pantomime of work attending meetings that could have been emails, updating spreadsheets that feed other spreadsheets, writing reports that nobody reads and arriving home emptied of something you cannot quite locate, understanding in your bones that you have produced nothing, moved nothing, changed nothing.
The machine ran. You were one of its parts, yet tomorrow you will do it again.
For most of the twentieth century, that feeling had nowhere to go. You absorbed it. You went to therapy, or to the bar, watched television or even doomscroll socia medias until the self dissolved pleasantly into someone else’s story.
The social contract was clear; you traded your hours for money, and the transaction, however spiritually bankrupt, kept the lights on.
Quitting looked irresponsible. Refusing the terms was pathological. The category did not yet exist for the person who looked at the arrangement clearly and said: "no, thank you".
It exists now. They are called NEETs.
What NEET Actually Means
The acronym "NEET-Not in Education, Employment, or Training" originated in British policy documents in the late 1980s, a bureaucratic label for young people who had slipped between the institutional net’s squares. It was a problem category. A risk indicator. Something to be solved. The European Commission adopted it formally in 2010, and it spread across OECD countries as a shorthand for demographic failure; the young people a society had mislaid.
Somewhere in the intervening years, the label got reclaimed. The way queer got reclaimed, the way punk got reclaimed not by committee or press release but by the subjects of the label themselves, who looked at it and thought: actually, yes. That is precisely what I am. And I am not particularly ashamed of it.

262M

ILO 2025 Global Estimate
Young people aged 15–24 worldwide classified as NEET roughly one in four of the entire global youth cohort.

By 2025, the International Labour Organization estimated that approximately 262 million young people globally that one in four between the ages of 18 and 24 were NEET.
In the United Kingdom alone, nearly a million young people had left the workforce. In the United States, over four million Gen Zers are neither in school nor working. Governments commissioned inquiries. Economists wrote alarmed papers. The prevailing narrative was one of crisis, of failure, of a generation that needed to be fixed.
But here is the question that the alarmed papers tend not to ask: what if the NEETs are right?
"I wasn’t treated like a human being there, more like a tool that could be easily replaced."
➺ Young NEET, interviewed by Vice, on leaving their apprenticeship
That quote, raw and plainly stated, contains more economic analysis than most quarterly reports. The person did not leave because they were lazy. They left because the terms were degrading. They looked at the contract 'your dignity for our productivity' and declined to sign. The system called this failure. The person perhaps called it self respect.

The Hollow Ladder

Here is what makes the automation story particularly vicious, and why it hits the NEET generation with such specific force: the jobs being automated first are not the jobs at the top, they are the jobs at the bottom. The entry level positions.
The junior analyst, the paralegal, the junior copywriter, the customer service associate, roles that generations of young people were told were the first rung on the ladder, the mandatory tunnel through which you had to pass before arriving at the work that actually mattered.
Cornell University research found that companies adopting AI reduced junior hiring by about 13% a significant effect, concentrated precisely at the entry point. Among young software developers aged 22 to 25 in AI-exposed roles, employment fell nearly 20% between late 2022 and mid 2025.
Entry-level job postings overall declined roughly 35% since January 2023. The ladder is not just shaking. Someone is removing its bottom rungs.
Revelio Labs via CNBC September 2025
Decline in entry-level job postings since January 2023. The rungs at the bottom of the professional ladder are disappearing faster than any previous transition. The next generation of senior professionals has fewer and fewer paths to become senior at anything.
The researchers at MindStudio, writing in early 2026, identified the real horror embedded in this dynamic: even if current workers aren’t being fired, the pipeline into professional careers is narrowing.
Historically, entry-level roles weren’t just labor. They were training grounds. You did the grunt work as a junior analyst because doing it taught you how the work actually functioned. You developed judgment. You moved up. If AI absorbs the entry-level task layer, the question becomes: where does the next generation of senior professionals come from?
The answer is; it doesn’t. Or rather it comes from an ever shrinking pool of people who either had the right connections, attended the right institutions, or got in before the door closed.
The meritocracy was always somewhat fictional, this was known, but now the fiction is becoming untenable. The kids who followed all the instructions, got the degrees they were told to get, applied for the jobs they were told to apply for, are finding the architecture of the promise simply gone. The contract was honored right up to the moment they tried to collect.

The Coin That Says the Quiet Part Loud

Into this specific cultural moment, young people locked out of entry level work by machines, demoralized by stagnant wages, increasingly skeptical of the entire apparatus of formal employment comes a Solana meme coin called $NEET, with a tagline that reads; dispatches from the other side of the 9 to 5.
It sounds absurd. It is, in many ways, absurd. And it is also, in the particular way that good jokes are honest, one of the more accurately titled financial instruments of the current moment.

Thanks for reading btwn :)

follow me on 𝕏;https://x.com/GeekyDamian

There’s a principle in Economics called Opportunity Cost.

It simply means;
Every choice you make is costing you something else《Forgone alternative》
Not always money.
sometimes it’s time, focus, energy, or even the version of yourself you could have become.

When you spend 3 hours scrolling…
the cost isn’t just “3 hours gone.”
It’s;
➺ the skill you didn’t build.
➺ the idea you didn’t explore.
➺ the momentum you didn’t create.

That’s the real price.

The scary part?
Opportunity cost is invisible, youu don’t feel it immediately.
no alerts, no notifications, no “you just missed something important” warning.
It just quietly compounds in the background.

But here’s where things becomes different.
When you choose to learn something, even small, you’re also paying a cost.

And what are these costs ?
Comfort, ease, instant pleasure.
But what you gain?
That compounds louder over time.

So today...
Don’t just ask "what am I doing?"

Ask:
"What am I giving up by doing this?"
That question alone can shift how you move for the rest of the day.

Have a lovely day fren.

When someone asked what we wanted to be, the answer never needed too much thoughts.
We just knew.

Some of us worked towards that dream with deep conviction.

Some of us didn't because we were too scared.

Some of us quietly put it down, promising ourselves we’d come back for it later because dreams also needs funding.

Dreams doesn't really die, they're just forgotten.
Laying in plain sight till something reminds you of them.

until a song, a moment, a question, a random thought, an atmosphere, a scenerio, an environment taps them on the shoulder and says, “Remember me?”

This reminder doesn't come by mistake.
It lights a fire you forgot you ever carried.

I've been asked many times what my dream was and I just gave what I thought was the safest answer
"I want to be rich".

Whereas I always wanted to be a rockstar.

I wanted to sing until my voice cracked.

I wanted to dance without caring about who was watching.

I wanted to write stories that outlived me. To become an author whose words felt like home to strangers.

But I never chased those dreams because of the search for paper 💵.

I didn’t abandon those dreams because I stopped loving them.
I abandoned them because I started surviving.

The world has a way of teaching you that passion alone doesn’t pay rent, that art doesn’t always fill your plate, that survival often demands compromises.

And so, I survived first, quietly shelving the dreams, putting them in a corner, folding them up neatly… hoping one day I’d unfold them again.

I believe dreams are patient.
They wait for stability.
They wait for courage.
They wait for the moment when finances stop being a cage and become fuel.

As long as I can fund them, I believe I can still fulfill them at any stage of my life.

Because Dreams don't really die, they just get — forgotten — hidden in a place within our heart patiently waiting for light to shine on it once more......

And when that day comes…
everything will feel a little like home again.

For in the end, dreams isn't a question of age, time, or circumstance.

They are a measure of courage.
The courage to remember, the courage to start all over. And the courage to refuse to let life make us forget that wish we've always wanted.

And then one day, when the world is most quiet you’ll feel it — that small spark you thought was gone.

It will rise from the hidden corners of your heart, soft but undeniable, and whisper: “It’s your turn now.”
And in that moment, you’ll know that dreams truly never die.
They only wait for you to remember how to live them.
.
.
We are all strangers living with a broken and forgotten dreams.
.
.
I hope all our dreams comes to pass one day. 🫶🩵

𝗔𝗜 𝗕𝗥𝗔𝗜𝗡- 𝗛𝗢𝗪 𝗔𝗜 𝗟𝗘𝗔𝗥𝗡𝗦.

After four days, I've decided and also I'm strong enough to continue shipping out contents on things I'm learning and also using it as a medium to grow my audience, as I'll get to meet new folks who fw my content in the process.

The first example that was given when I started watching the video was how algorithm works.

It cited an example of how when you click a particular video, let's use tiktok or IG as an example, the algorithm brings more videos that's looks like the one you interacted with to your timeline.

Now proceeding to how algorithmic bots works.
In the old times, humans built algorithmic bots by giving them instructions like "if this◇then that".

But there was also a downside I'd say.

There are too many problems are too for humans to write simple instructions for.

How this algorithmic bots are built are classified, meaning the organisations that built and uses this algorithmic bot, don't want to let it slip out.

I feel like I'm deviating, or moving off course.

The video explained not necessarily knowing how these bots are built but can give a quaint, but understandable ways bots can be built.

You build bots that builds bot, then you build bots that teaches bots.

Each having it's specific tasks.
- one for building.
- the other for teaching which is called the teacher bots.

I'd love to have gone deeper, but it'd be better that you watch the video and get a better understanding of the info I'm trying to pass.

youtu.be/R9OHn5ZF4Uo?si…

Here you go.

Like y'all said, I'd be making it shorter.

More like a summary.

Today I'd be looking at DCA- Dollar Cost Averaging.

I believe majority of us have heard of this term.

I learnt about it during the time of Magic Newton.

Then, I talked about how Newton agent(the recurring buy agents) uses recurring buys and it was a strategy known as DCA.

I'd provide the link to the tweet in the comments section, please do well to check it out.

Now back to what DCA is.

Dollar Cost Averaging is an investment strategy where you invest a fixed amount of money at regular intervals, regardless of the asset's price, to reduce the impact of volatility and potentially lower your average cost per share over time.

How does DCA work ?

- Instead of investing a large sum at once (lump sum), you break it down into smaller, consistent investments (e.g., $50 every week).

Newton is one of the best AI Agent I know which is best for DCA.

How many of us was here during the time of Magic Newton?

First two steps are usually easy.

Consistency is where the real task begins.

Today I'd be looking at Oracles and Smart contracts.

I know this #LearningInPublic might seem a little bit different, but this is me learn Web 3 terms. Wanted to say basic terms, but this might not be very basic.

I have a plan on something I want to do, but that would be after I'm done with this ones. It's for the future Newbies.

Now back to what we have for today.

smart contracts are self-executing, transparent, and immutable programs on a blockchain.

Smart contracts are foundational to Web3 and dApps. Their key characteristics and functions may include;
▪︎ Automation.
▪︎ Transparency and immutability.
▪︎ Limitations.

Now let's talk about Oracles.

An Oracle is a service (or device) that provides a specific data set for use within a blockchain.
Once the data is placed on the network, it becomes available for use in smart contracts.

Essentially, oracles are a bridge between two worlds between the decentralized and centralized worlds, between a smart contract and a third-party data provider. Their main task is to provide reliable information for smart contracts.

I suppose you're getting the whole picture now ? How smart contracts and Oracles relate ?

Smart contracts cannot inherently access external data, and Oracles act as essential third party services that act as data bridges, connecting smart contracts to real-world information and offchain systems, thereby expanding their functionality.

Types of Blockchain Oracles 《won't be going into details here》
▪︎ Pull-Based Oracles
▪︎ Push-Based Oracles
▪︎ Cross-Chain Oracles
▪︎ Compute-Enabled Oracles

Key notes; probably the most important thing to note and remember is;

"A blockchain oracle is an entity that enables smart contracts, autonomous pieces of code that self-execute once conditions are met, to execute based on inputs and outputs from the real world."

Source of research > Chainlink.
Stellar.

X tweet https://x.com/i/status/2000991598704742798=

I suppose I need not an introduction.

Like I mentioned few days ago, I have no idea if I actually did that, I'd be starting a 30days #LearningInPublic Journal.

I'm very much eager to start today and I hope the spark to complete this 30days challenge never leaves.

"Delta-Neutral"

When I made a tweet yesterday regarding Multipli’s scenerio Analysis, a mutual @violetttchan (X user name) , made mention of "Delta-Neutral" which best described what I was talking about at that moment.

That was my first time coming across such phrase.

So I went ahead to look it up using Google search engine.

After my research I came up with this.

Moving on to the most important part where I talk about what Delta-Neutral actually is.

It is a trading strategy.

Delta neutral is a sophisticated portfolio strategy that balances positive and negative deltas to achieve an overall zero delta.

This approach helps options traders profit from implied volatility or time decay while also serving as an effective hedging technique.

By offsetting the delta of various positions, investors can stabilize their portfolios against minor market swings, although dynamic hedging is required for maintaining balance over time.

Take a look at the diagram below on how to set up a Delta-Neutral strategy.

Main post on X here https://x.com/i/status/2000609569043591548

But he said he isn't God that he should be merciful.

But isn't that more reason why he should forgive me ?

I'm human, human make mistakes
To err is human, but to forgive is divine.

"I'm not a divine being!!!!!" He retorted

All I could feel at that moment was the tip of the cold pistol he had to my head.

What baffled me the most was how cold his heart has become.

"Ice blazing" should be the word.

That's what I get for being behind the death of his only daughter. Only child I also heard.

He pulled the trigger.

Turns out my life depended on that plea after all.

"What's the difference between a token and a coin?"

This was the question asked in the Flares event also attended today.

I sat on my seat, searching through my head to give an answer, but nothing came up.

Then it dawned on me that I didn't actually know the difference.

No.

I knew the answer, but I couldn't actually put it to words.

I know not because I have gone to check the meaning before, but because of how often I've used and heard it being used.

Well, as someone who likes learning every day, I went ahead to make my research, although we were told the difference there.

I'd prefer I first give a definition of what a coin and token is.

𝐂𝐨𝐢𝐧𝐬 are the digital currencies which are native to their blockchains.

While 𝐓𝐨𝐤𝐞𝐧𝐬 are typically designed to facilitate decentralized projects by leveraging established blockchain networks. They are created via smart contacts. Tokens may offer a variety of functionalities which are specific to certain platforms and blockchains.

The main difference between a coin and a token is that coins have their own native blockchain, while tokens are built on an existing blockchain.

Coins are designed to function as a medium of exchange or a store of value, like $BTC, $ETH or $SOL.

Tokens are built on other blockchains and typically represent a utility, an asset, or a right within a specific ecosystem, such as a decentralized application (dApp).
$NEWT as an example.

This picture shows the difference between a coin and a Token.

While looking for the first Defi topic to take as a Crypto content creator, I stumbled upon MEV.

I'm not necessarily a newbie, but this was the first time I'm coming across a term like this.

Now this is going to take a unique pattern where we first talk about what MEV is.

𝑾𝑯𝑨𝑻 𝑨𝑪𝑻𝑼𝑨𝑳𝑳𝒀 𝑰𝑺 𝑴𝑬𝑽?

MEV which is the acronym for Maximal Extractable Value is the maximum value miners or network validators can extract by rearranging and reordering transactions waiting to be added to the blockchain.

Blockchains allow anyone to broadcast transactions to a shared network, where they wait in a mempool before inclusion in a block.

In practice, miners or validators《the block producers》select transactions from the mempool when building a new block and can order them arbitrarily. Because this ordering is not fixed by the protocol, block producers effectively hold discretionary power. They can determine the order in which transactions are processed on the blockchain and exploit that power to their advantage.

In other words, by reordering or inserting their own transactions around pending ones, a block producer can extract extra profit beyond normal fees and rewards.

𝙒𝙃𝘼𝙏 𝘽𝙇𝙊𝘾𝙆𝘾𝙃𝘼𝙄𝙉 𝙁𝙄𝙍𝙎𝙏 𝙀𝙓𝙋𝙀𝙍𝙄𝙀𝙉𝘾𝙀𝘿 𝙈𝙀𝙑?

Technically, it was @Bitcoin $BTC via miners reordering and fee manipulation. But it didn't become a major Topic or rather the term "MEV" wasn't coined until @ethereum $ETH in 2019 when Phil Daian and other researchers wrote a paper titled "𝑻𝒉𝒆 𝑭𝒍𝒂𝒔𝒉 𝒃𝒐𝒚𝒔 2.0"

You can check out the research paper here.
《 arxiv.org/pdf/1904.05234 》

The research showed that Ethereum miners were already capturing value by reordering transactions on decentralized exchanges. Early estimates found that by January 2021 around $78 million of MEV had been extracted on Ethereum; by the end of 2021 this had skyrocketed to $554 million.

𝙃𝙊𝙒 𝘿𝙊𝙀𝙎 𝙈𝙀𝙑 𝙒𝙊𝙍𝙆?

The Maximal Extractable Value is possible due to the decentralized nature of the blockchain and the crypto industry.

Contrary to the traditional finance world, where transaction orders are rigidly enforced, crypto miners and validators can reorder and sequence a set of transactions as they wish within a given block.

MEV emerges from two core blockchain design elements;

Public transaction pool which pending transactions are publicly visible in the network’s mempool before they are confirmed. Anyone (including miners) can see large trades or orders as soon as users broadcast them.

Producer driven ordering where the chosen block producer has full control over which transactions to include and in what order. Although miners/validators typically include the highest fee transactions first to maximize profit, the protocol imposes no strict rule on order by time. Thus in principle a block producer can shuffle, include, or skip any transactions in the block they build.

These factors mean that a malicious or opportunistic miner can see a pending transaction and place new transactions around it for gain.

For example, if Miner A sees a large Uniswap trade in the mempool, they might insert their own buy order just before it (front-running) or after it (back-running) to profit from the resulting price change.

In essence, "block producers are able to extract value by arbitrarily reordering, including, or excluding transactions within a block”.

This ability to reorder is built into blockchains like Ethereum and Bitcoin it is not a bug but a consequence of how decentralized blocks are formed.

𝙏𝙔𝙋𝙀𝙎 𝙊𝙁 𝙈𝙀𝙑.

This would be incomplete if I don't drop the types of MEV as it would help to fully understand the concept of MEV.

▪︎ DEX Arbitrage
In the traditional financial system, arbitrage takes advantage of a difference in an asset’s price across different trading venues. In this MEV type, searchers generate additional value by purchasing tokens at a lower price on one exchange to sell them on another exchange at a higher value. They also derive a profit by taking advantage of any price discrepancies across different liquidity pools on the same exchange.

▪︎ Liquidations
In DeFi, liquidation is a process that occurs when the value of a borrower’s collateral does not cover the value of their loan or debt. Once a debt is liquidated, any individual can purchase the original collateral at a discount and resell the asset at a higher price to make a profit.
In this MEV type, searchers act as liquidators who scan the blockchain for unhealthy loan positions that need to be liquidated. These individuals identify loan positions that are eligible for liquidation, acquire the borrowers’ collaterals at a discounted price, and resell at a higher price to gain extra value.

▪︎ Sandwich Attacks
Sandwich attacks are a malicious type of MEV, where the searcher executes a transaction ahead of an initially identified trade (front-running) and follows the target transaction with another trade (back-running). This strategy is often employed to take advantage of large orders that cause the price of assets to fluctuate.

• Front-running
Front-running is the first phase in a sandwich attack, which involves searching through a blockchain’s mempool for pending transactions that could impact a specific asset’s price and from which they can extract significant value. For instance, if a frontrunner often a sophisticated bot detects a large buy order for a specific cryptocurrency, they recognize that this transaction could drive the token’s value higher once confirmed.

• Back-running
To complete the sandwich attack, the bot also creates a sell order, intending to have it executed right after the target transaction, thereby selling the asset at a higher price.
Ultimately, this type of MEV will reduce the value the targeted traders would have otherwise gained from their transactions. Meanwhile, the searcher benefits from the price fluctuations triggered by the target transaction.

In my next tweet, I'd be comparing MEV on solana and on Ethereum.

In summary, MEV will persist because it is baked into decentralization itself. Anywhere decentralized actors must sort, include, or exclude user actions, opportunities for extraction arise. MEV’s history and scale show that the combination of transparent mempools, rich DeFi markets, and profit-driven actors inevitably leads to extractable value.