Quaramly

Web3 Educator | Sharing alpha & guides

[Quaramly @quaramly]

@theSethian and she explain it for good

[Quaramly @quaramly]

SHE SPENT 30 MINUTES TEACHING AI A JOB SHE'LL NEVER HAVE TO DO AGAIN

Instead of asking Claude another question, she opened her browser, hit record and simply worked the way she always does. Searching filings, opening reports, clicking through pages. Every step became part of a workflow the AI could repeat on command

For years we automated spreadsheets, databases, and software. Now we're starting to automate ourselves. Not by replacing people, but by capturing the routines that quietly consume hours every week

People who move fastest won't be the ones using more AI tools. They'll be the ones turning their own habits into systems

[Quaramly @quaramly]

A 25-YEAR-OLD SPENT MONTHS DIGGING THROUGH THOUSANDS OF GITHUB REPOS SO YOU DONT HAVE TO

He wasn't searching for another prompt library, he was looking for the tools that quietly remove hours of repetitive work, letting Claude manage projects, split tasks across multiple agents, remember previous sessions, browse websites, and even organize massive codebases without falling apart

After a certain point the difference between two developers isn't the model they're paying for, it's the workflow they've built around it, because the right open source tools can make the same AI feel twice as capable while everyone else is still using it like a basic chatbot

The next breakout developers won't necessarily write better code, they'll assemble better AI systems, turning free community projects into an advantage that compounds every single day

[Quaramly @quaramly]

@diamai_ claude help and make big works

[Quaramly @quaramly]

@choopyplug1 man kimi have also open sourse model

[Quaramly @quaramly]

@0xbobaaa it can be big hit soon

[Quaramly @quaramly]

@Nezukoa4 haha I remeber this story

[Quaramly @quaramly]

@Damir_Akaza why people not hear him...

[Quaramly @quaramly]

@0xdimix this man is speaking about big facts

[Quaramly @quaramly]

@poly0015iew bro I never thinking about it before

[Quaramly @quaramly]

@0xRicker kimi making all process for best

[Quaramly @quaramly]

@Yamik1shi ai help making all works better

[Quaramly @quaramly]

@theSethian love to read article about it

[Quaramly @quaramly]

@ridark_eth it's new era to crating this video

[Quaramly @quaramly]

ELON MUSK IS WORRIED ABOUT HOW FAST AI IS EVOLVING

"We may have AI that is smarter than any human by the end of this year and smarter than all of humanity within the next few years"

With every new model that prediction feels less like science fiction because AI is rapidly moving beyond answering questions toward autonomous systems that can think reason and execute increasingly complex work

Most people still see chatbots while the industry is already building the next generation of intelligence and nobody knows exactly where the limit is

The biggest AI shift may still be ahead of us

[Quaramly @quaramly]

@theSethian it's real good how they made it

[Quaramly @quaramly]

YOUR AI IS ONLY AS SMART AS YOUR DATA IS ORGANIZED

An inside look at how the BBC engineering team prepared its archives for AI

The BBC spent years rebuilding the metadata behind more than a century of content. Thousands of disconnected systems, duplicate records, legacy databases and inconsistent formats had to be unified before AI could reliably search, organize and understand the archive

It was eliminating duplicate metadata, creating a single canonical catalog and making every AI-generated asset reusable across the entire organization instead of recreating the same work over and over again

The quality of an AI system is ultimately limited by the quality of the data infrastructure behind it. Most organizations don't have an AI problem. They have a data architecture problem

[Quaramly @quaramly]

MACHINE LEARNING LOOKS LIKE MAGIC UNTIL YOU SEE WHAT IT'S ACTUALLY DOING

73 minutes from Stanford's CS221 course on the deceptively simple ideas behind modern machine learning

Machine learning doesn't begin with neural networks or giant models. It begins with a much simpler question. How do you turn messy real-world data into numbers that a computer can actually learn from?

The lecture starts with spam detection, but quickly builds the intuition behind almost every modern AI system. Features become numbers, numbers become predictions, predictions create errors, and those errors slowly reshape the model until it begins making better decisions on data it has never seen before

[Quaramly @quaramly]

@wizzardouthere he have good life to make it

[Quaramly @quaramly]

@isa2112mi haha very cool video

[Quaramly @quaramly]

@rvaniaaaa Im waiting to play in this game

[Quaramly @quaramly]

@nverbullish all this combine and make profits

[Quaramly @quaramly]

@Yamik1shi can't agree with him about it