Solomon G

My Bitcoin Puppet is my only personality trait.

[Shooter McGavin @ShooterMcGavin]

ANNOUNCEMENT:

Any U.S. Citizen that wants to cheer on Belgium tonight I’ll be hosting a 9th green at 9 watch party for the match. Please dress nice. Go Belgium!

[Machina @EXM7777]

https://t.co/BNuZ1GirbS

[DAN KOE @thedankoe]

https://t.co/gN9cBK7feV

[Machina @EXM7777]

https://t.co/z3favulLvT

[Yarchi @undefinedKi]

Anthropic will pay you $85,000 to learn AI, and this is the kind of opportunity you don't let pass

It's called Claude Corps. Anthropic just launched it, and it's a 12-month paid fellowship for people at the very start of their careers.

They train you to use Claude from scratch, then place you inside a nonprofit to do real work with it for a year. You get paid $85,000 plus benefits the whole time.

They're basically paying you to master the most in-demand skill on the planet right now, then handing you real-world experience using it.

The barrier to entry is almost nothing. Over 18, less than two years of full-time work experience. No degree, no AI background needed.

If that's you, don't sit on this one.

Apply here: https://t.co/qL6r4FFkZ3
Deadline: July 17

Bookmark this

[Ole Lehmann @itsolelehmann]

i'm obsessed with AI DIY projects

my favorite one right now is this guy who built an AI system that listens for birds outside his apartment, figures out what species they are, and paints them on his wall.

here's how the whole thing works:

1. a cheap usb mic on his balcony listens for birdsong 24/7

2. BirdNET, Cornell's AI model trained on 6,000+ species, names each bird species from the sound alone (no camera needed)

3. every time it hears one, Gemini 2.5 Flash Image paints that exact bird in the style of an Edo-period japanese woodblock print

4. the new painting drops into a live collage of everything that's been singing outside in the last 24 hours

5. and it all shows up on a framed e-ink display on his wall that reads "heard today" like a little museum placard for his neighborhood

knowing which birds visit you used to take a field guide, a trained ear, plus years of patient practice.

teddy just glances at the frame on his wall and sees the cardinal came back this morning

honestly i'm highly tempted to build one myself haha

[Ridark @ridark_eth]

I genuinely don't understand why everyone isn't using this yet

Andrej Karpathy, a co-founder of OpenAI, posted a simple idea that hit 16 million views: stop using AI to write code, use it to build a second brain.

You point Claude Code at a folder, drop in any source, an article, a transcript, a PDF, and Claude reads it, links it, and files it into a living wiki of everything you know. It compounds like interest, the more you feed it, the smarter it gets.

Here's the whole thing:

> Install Obsidian, create a vault, open it in Claude Code

> Paste Karpathy's wiki idea file and tell Claude to build it

> Claude makes three folders: raw for sources, wiki for its pages, a CLAUDE.md that runs it

> Drop any source into raw and say "ingest this"

> Ask questions across everything, forever

Five minutes to set up, and you never start from a blank chat again.

Full step-by-step guide with Claude and Obsidian, link below.

Bookmark this

[Wall Street Apes @WallStreetApes]

Comparing the California High Speed Rail to Elon Musk’s SpaceX

This is how criminally inefficient California's bureaucracy has become

- The California High-Speed Rail Authority is 6 years older than SpaceX
- Total private funding for SpaceX was $12 billion, whereas California's high-speed rail is projected to cost $231 billion by the time it's completed (That's 2,000% more funding than SpaceX had)

In the same amount of time, California has laid zero miles of high-speed rails while SpaceX has developed a reusable rocket, delivered astronauts and saved astronauts from the International Space Station, and as of today has a $2.5 trillion market cap

Elon Musk will literally have been able to send people to Mars at a fraction of the cost and at a fraction of the amount of time that it's taken Gavin Newsom just to send Californians up the coast

[U.S. Air Force @usairforce]

A rare Super Delta formation featuring the Thunderbirds and the @USNavy Blue Angels soared above @UFC fans to kick off #UFCWhiteHouse. #Freedom250

🎥 by @whitehouse

[Khairallah AL-Awady @eng_khairallah1]

this is f*cking gold

How to build your first AI agent (Full guide)

if I had this a year ago, I would've shipped my first agent in a day instead of 2 weeks

in the right hands, this changes everything:

[Roan @RohOnChain]

USC mathematicians just published the most dangerous quant paper of the year.

THE MATH BEHIND HOW INSIDERS BEAT THE MARKET WITHOUT GETTING CAUGHT.

This paper will teach you to detect smart money moving before announcements. 43 pages of pure game theory. Bookmark now.

[AdiiX @adiix_official]

AMD CEO Lisa Su just killed Nvidia’s $4,000 AI box with a $1,499 lunchbox.

She walked on stage, held it in one hand, and ran a 235 billion parameter model live. No data center. No cloud. No rented GPU.

The chip inside is something nobody saw coming. AMD’s Ryzen AI Max+ 395 is the first x86 silicon where CPU and GPU share the same 128GB of memory. That single trick lets a desktop run models that used to need a server rack.

Out of those 128GB, Linux hands the GPU 110GB to play with. For context, an RTX 5090 gives you 32GB. A 4090 gives you 24. This box gives you more than three times either of them, in a chassis the size of a thick paperback.

The benchmark that broke the room: this chip beat an Nvidia RTX 5080 by more than 3x on DeepSeek R1 inference. A $1,499 lunchbox outrunning a $1,000 discrete graphics card on a real AI workload. Nvidia spent a decade convincing the world you needed their hardware for serious AI. AMD just put that on a desk for half the price.

Here is what nobody is telling you. A heavy AI user right now pays $200 for Claude Code Max, $200 for ChatGPT Pro, $20 for Cursor, $20 for Gemini. That is $5,280 a year leaving your account. The box pays itself off in 9 months and then runs free for the rest of its life.

Install Ollama. Pull Qwen3 235B. Point Claude Code at localhost. Same interface you already use, except now nothing leaves your machine, nothing costs per request, and no company throttles your usage at 3am when you finally have time to build.

This is the moment every AI subscription becomes optional. Lawyers stop fearing OpenAI leaks. Developers stop watching the token meter. Founders stop renting H100s for prototypes that never ship because the bill scared them.

The first thousand people to figure this out will own the next two years of private AI consulting.

Save this, and read the full breakdown article below you are watching the next shift hit before everyone else does.

[Elon Musk @elonmusk]

I love the incredible people of SpaceX beyond words

[Nick Sortor @nicksortor]

🚨 BREAKING: SpaceX has OFFICIALLY begun trading, immediately ROCKETING up 12%+

@ElonMusk created THOUSANDS of new millionaires today, including even CAFETERIA WORKERS at SpaceX

An absolutely incredible story.

LFG $SPCX! 🚀

[Solomon G @SolomonTheG14]

@vulturetrades What platform are you executing these trades on?

[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?

[Solomon G @SolomonTheG14]

@vulturetrades let’s run it

[NoLimit @NoLimitGains]

A fund just put 34% of their entire portfolio into a single stock.

Here it is:

[MindBranches @MindBranches]

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[Elon Musk @elonmusk]

😂