LVC 📚

Remember your feelings when you received kindness in your difficult times. Remember and try to share it with those in need.

#xrp
#crypto enthusiast

[Elon Musk @elonmusk]

So true

[Saganism @Saganismm]

“Education is the ability to listen to almost anything without losing your temper or your self-confidence.”

— Robert Frost

[Alex Finn @AlexFinn]

AI subscriptions are dead

Claude Fable 5 will only be on the Anthropic subscription until June 22nd. After that, you will need to pay for usage per token

This will be the start of a much larger trend

Frontier models will no longer be included in subs

You’ll pay a fee and it will only get you access to older, much cheaper models

If you want access to that dank AI sour diesel, you’re going to need to pay for every token you use. No more subsidies

And it make sense. The subsidies were just a Ponzi scheme

For those that don’t know, when you pay $200 a month for an AI sub, you get thousands of dollars of tokens

These AI companies actively lose tremendous amounts of money because of these subscriptions. GDPs of most countries every year are lost on your $200 Claude Max sub

The investor money is running dry. IPOs are coming because of this. And with IPOs need to come profitability

The golden age of paying $200 a month and being able to code on 40 Claude Code instances and getting a usage reset every 5 minutes are about to die

The party couldn’t continue ever. You can’t just leverage the entire global economy for years and expect nothing to break. Now it’s time to pay up

Means a few things:

1. Time to be responsible when it comes to which models you use. You don’t need Fable 5 for GPT 5.5 Xhigh for everything. Build the skill of knowing when to use cheap models

2. Local LLMS/hardware will come even more in demand. I’m currently running GLM on my Mac Studio. It’s great. Is it Fable? No. But it gets the job done for free on simple tasks. Learn about local LLMs

3. This is the beginning of the wealth gap expansion. Those that can afford to spend $10,000 a month on Fable 5 will build incredible products that eat up more and more of the economy. Those that can’t afford Fable 5 will have an insane disadvantage

4. The government will need to step in eventually. There will be too much civil unrest. I hope the answer isn’t free money. That won’t do anything. I hope the answer is education/access to AI resources for ALL. Universal Basic Opportunity

5. You need to seriously reconsider where your money goes every month. If you are complaining about AI prices and in the back of your mind you know your skill set is becoming quickly irrelevant, all while spending money every month on Netflix, Xbox Live, Paramount +, drugs, DoorDash, Uber, and other things that bring nothing positive to your life, you are simply doing it wrong. AI is an investment in yourself. It’s an investment in your relevance to the global economy. You need to make sure you make that investment

The pieces on the board are quickly moving around. The rules are changing. The battlefield is shifting. If you’re not strategizing accordingly, you’re cooked.

[Coin Bureau @coinbureau]

🎥WATCH: PALANTIR CEO DROP THE HARD TRUTH ABOUT AI

“There’s a myriad of problems these models solve, and an even bigger amount of problems they create.”

[LVC 📚 @LVC51308469]

@vincent_vancode @minchoi Actually they are Large Multimodal Models.

[Ihtesham Ali @ihtesham2005]

Two math olympiad champions wrote a training manual in 1993 on two old Macintosh computers, and every American kid who has won a major math competition in the last decade learned to think from it.

Their names are Sandor Lehoczky and Richard Rusczyk. The book is called The Art of Problem Solving. Most people in math know it as AoPS.

Since 2015, every single member of the US International Math Olympiad team has been an AoPS student. Not most of them. Every one.

That statistic sounds impossible until you understand what the book actually does.

Lehoczky and Rusczyk were not professors. They were competitors. Lehoczky earned the sole perfect AIME score in 1990 and led the national first place team. Rusczyk was a USA Mathematical Olympiad winner and a perfect AIME scorer in 1989. They had both survived the same brutal selection process the book was designed to train students for.

And the first thing they decided was that almost every existing math textbook was teaching the wrong thing.

School math gives you formulas. You memorize them. You apply them. You pass the test. Then you sit down in front of a real competition problem and the formula does not apply, and you have nothing underneath it.

That is the gap. The gap is not knowledge. It is thinking.

The entire premise of AoPS is that problem-solving is a transferable skill, not a bag of memorized tricks. A student who genuinely understands why a technique works can adapt it, combine it with something else, and deploy it in a context they have never seen before. A student who only memorized the technique freezes the moment the problem looks different.

The book teaches the difference between a formula and a method.

A formula tells you what to compute. A method tells you how to see. The students who win olympiads are not the ones who know more formulas. They are the ones who have trained themselves to look at an unfamiliar problem and recognize its structure. To see that this problem is secretly asking the same question as a problem they solved three weeks ago, just dressed differently.

Rusczyk calls this "learning to read the problem." Not reading the words. Reading what the problem is actually asking underneath the words.

The second thing they built into the book is tolerance for being stuck.

Most students treat confusion as a signal to stop. The book treats confusion as the starting point. Every chapter pushes students past the point where the obvious approach runs out. That moment of running out is not failure. That is where the actual thinking begins.

Lehoczky once described it this way. If you can solve a problem quickly, you are not learning. You are performing. Learning only happens when you are past the edge of what you already know.

The book was written on old Macintosh computers in 1993. Rusczyk launched the AoPS website in 2003. Today the community has over one million users. Thousands of students enroll in AoPS online courses every year. Most winners of every major American math competition are AoPS alumni.

A platform built by two kids who were good at math competitions has become the infrastructure that produces the next generation of mathematicians, engineers, and scientists who are good at thinking.

The formulas you memorized in school will eventually be obsolete.

The thinking you trained will not.

What is one problem in your life right now that you have been avoiding because you do not yet know the right formula to solve it?

[0xMarioNawfal @RoundtableSpace]

GITHUB JUST CERTIFIED THE AI JOB OF THE FUTURE

* GH-600 formalizes the “Agentic AI Developer” role — engineers who build, supervise, and deploy AI agent systems
* As companies adopt agent-driven workflows, knowing how to orchestrate AI may become as valuable as writing code itself

[Eren Chen @ErenChenAI]

“The next trillion-dollar opportunity is Physical AI and Robotics.”

— Masayoshi Son, CEO of SoftBank, also just became the richest in Asia

[Vincent Van Code @vincent_vancode]

I missed buying XLM when DTCC news came out.

I would be r3tarded to not buy any now that's it's back down to the original price.

Very rarely do you get second chances in life.

I believe XRP is heavily discounted too, and yesterday I bought some more.

While I never usually post this stuff, just think this is an absolute golden time to stock up.

[Atlas Press @realAtlasPress]

Leonardo da Vinci's greatest paragraph

[Philosophy Mastery | Modern Stoic @MasteryNotes]

7 laws that give you an unfair advantage:

1. Kidlin's law

[Simone Conradi @S_Conradi]

Another one!
Made with #python #numpy #matplotlib and #marimo (and also #wigglystuff)

[Interesting STEM @InterestingSTEM]

"The value of a college education is not the learning of many facts but the training of the mind to think."

- A. Einstein

[LVC 📚 @LVC51308469]

@pmamtraveller :)

[David Hering @hering_david]

Why does Sting look like the head of a planetary council in a science fiction film

[LVC 📚 @LVC51308469]

@yhbryankimiq (6+6)x6 = 12x6 = 72

[LVC 📚 @LVC51308469]

@Airaasayss

[LVC 📚 @LVC51308469]

@maxnonso 3 1 2

[LVC 📚 @LVC51308469]

@Bird_XRPL

[LVC 📚 @LVC51308469]

@MichaelAArouet :) so you can figure out easily they are not trying to save the world :)