💙 https://xitter.cf/t.co/jyBe8Pya75 Army
Joined February 2022
- Tweets1.8K
- Following568
- Followers118
- Likes10K
moy yewhon retweeted
A billionaire went on stage and explained in 42 minutes how the entire economy works. for free. Wall Street spent the next decade pretending nobody saw it.
he didn't sell a course. he didn't plug a fund. he stood at a whiteboard and drew three lines that explain every crash, every recovery, and every rate decision since 1929.
MBA programs charge $200,000 to teach frameworks he covered in the first 15 minutes. six of the models he drew on that board are still classified as proprietary at three major banks. he gave them away on YouTube.
the part nobody talks about: he predicted exactly what happened in 2020, two years before it played out. interest rates hitting zero, the central bank running out of tools, the money printer. he drew it on a whiteboard in 2018 like he was reading tomorrow's newspaper.
a portfolio manager at a top-five firm told me every new analyst on his desk watches this before they're allowed to open a terminal. not the CFA prep. not the internal training. this one lecture.
40 million people have seen it. almost none of them can name the three forces he draws in the first ten minutes.
it is still free.
moy yewhon retweeted
Date: 7/16/26
𝐁𝐨 𝐏𝐨𝐥𝐧𝐲 Prediction: Gold/Silver to explode by end of July or in August
Result: July 𝐅𝐀𝐈𝐋𝐄𝐃. Waiting on August.
youtube.com/watch?v=zf2RAGg3…
24:28 - ... I'm telling you, by the end of this month (July), August, it's about to begin. and maybe even sooner.
moy yewhon retweeted
الكلى عندك تصفي 190 لتر من الدم كل يوم، لكن بعض الأكلات تضر الفلاتر حقها بهدوء مع الوقت.
هنا 6 أكلات ممكن تضر الكلى وليه:
1/ حبوب الإفطار…🧵
moy yewhon retweeted
this is f**king insane
a free github repo by Jack Dorsey (Co-Founder of Twitter) with 14.4K stars just dropped the entire "ai-agent" framework for running businesses
here is how you set it up:
1.clone the repo
2. self-host the server : channels, search, git, automation all live there
3.add your agent to a channel like a teammate, scope its key, let the team steer it live
save and bookmark this no matter what
moy yewhon retweeted
Omg.. this can't be true...
I kept building AI agents on my eventually list because everything I read made it sound like a six month project requiring a technical background I did not have.
One Reddit thread changed that by saying the one thing nobody had said clearly: pick the smallest possible problem and finish it completely before you try to build anything impressive.
MY ARTICLE IS THE CLAUDE CODE VERSION OF THAT LESSON.
Working agent - Under one hour - Zero coding.
Full guide below.
moy yewhon retweeted
My friend applied to 200 tech jobs in two years. No PhD. No Stanford.
Last month Anthropic offered him $750,000.
I asked him how he broke in from zero.
He sent me a course that was never supposed to get out. A 3-hour video to build a full LLM from scratch.
A developer teaches you exactly how LLMs like ChatGPT and Claude are actually built.
I watched it last night.
Halfway through, I realized it's embarrassingly simple to break into an AI lab.
Bookmark this and read the article below.
• 00:00 - intro to LLMs
• 05:43 - LLM transformer architecture
• 40:24 - training the LLM
• 1:30:27 - modernizing the LLM
• 2:33:53 - scaling the LLM
moy yewhon retweeted
this is f**king dangerous
someone just figured out how to get fable 5 reasoning in opus 4.8 with one prompt
you have less than 24 hours to set this up as this takes away 20% of your usage limit
here is how:
1) Paste the prompt and ask it to "make an operating manual"
2) Create a New Claude Project and "Add this .md in Project instructions
3) Use Opus 4.8 High/Max and now you have Fable 5 reasoning at 1/5th the price
save and bookmark it no matter what
moy yewhon retweeted
this is f*cking gold
Andrej Karpathy came over to Anthropic just five weeks back.
Someone on his team pulled up the actual Claude.md they run day to day and showed it to me.
I plugged it straight into my workflow. Claude’s next reply wasn’t just improved.
It felt like a different model.
The canned, one-size-fits-all stuff vanished, and it started reasoning in my voice.
Save this before it disappears down your timeline.
Read it first then hit the article below.
moy yewhon retweeted
I don't prompt Claude Code anymore.
I have loops running that prompt Fable, and my job is just to write loops.
This is the Boris Cherny method, and I have to say, it's extremely powerful.
Everything you need to get started with loop engineering (as a complete beginner):
moy yewhon retweeted
The Company Brain has 6 layers:
LAYER 1: capture
The brain only knows what made it into the system. Calls, CRM notes, Slack threads, SOPs, sales calls, client feedback.
If the raw material never lands, the agent has nothing to work with.
Scattered inputs, scattered answers.
----
LAYER 2: retrieval
Capture gives you the pile. This layer pulls the right piece off it.
A bigger knowledge base doesn't make the agent smarter on its own. It has to grab the right context for the task, at the right moment, in the right format.
Bad retrieval makes good memory useless.
----
LAYER 3: source truth
Retrieval finds the context. This layer decides which version of it to trust.
A live CRM update beats a 9-month-old Google Doc. A client call beats a stale SOP. A manager-approved correction beats a random note.
Without source truth, the AI confidently repeats old information.
----
LAYER 4: permissions
A company brain can't just be a shared folder with better search.
Sales shouldn't see everything finance sees. A junior employee shouldn't get the same context as leadership. Access follows role, workflow, and risk.
Skip this and your AI system becomes a security problem.
----
LAYER 5: feedback
This is the layer that quietly rots.
A human corrects the AI once. The correction disappears. The same mistake is back next week.
In a working company brain, corrections turn into rules, examples, updates, or eval cases. The system wakes up smarter tomorrow.
----
LAYER 6: evaluation
If nobody scores the output, nobody knows if the brain is improving.
Every serious AI workflow needs the loop: answer, human review, correction, rule, eval, better answer.
No eval layer and the system feels impressive but stays unreliable.
----
The simple test. Ask your AI agent 3 questions:
1. Where did this answer come from?
2. Which source won when sources conflicted?
3. What changed after the last human correction?
If it can't answer those, you don't have a company brain yet.
moy yewhon retweeted
instead of watching 2 hours of Netflix tonight, watch this 40-minute masterclass from the founder of a $20B China AI company
it's the clearest explanation I've seen of how AI Agent and AI systems actually work at scale
useful whether you've never built an agent in your life or have been using Claude every day for the past year
I took the key ideas and turned them into 30 core agentic engineering concepts every developer should actually know
find it below ↓
moy yewhon retweeted
Anthropic CEO Dario Amodei:
"Recursive self-improvement isn't coming - it's already here."
the guy building Claude just told Bloomberg:
- 90% of Anthropic's codebase is already AI-written
- 20-30% of their own research is AI-accelerated
- Entry-level white-collar jobs have 1-5 years left
- AI assists - AI replaces is one smooth exponential curve
watch it, then read why your CLAUDE.md won't survive what's coming
moy yewhon retweeted
Google CEO Sundar Pichai:
"75% of new code at Google is already written by AI"
"But the real metric is how many agents one engineer can run at once"
In 14 minutes, he changes the whole productivity story
The next frontier is not autocomplete
It is agent orchestration
Inside Google, they hand a C++ to rust migration to a small team and a swarm of agents
The old binary becomes the spec.
Agents handle the rewrite.
Every engineer gets sub-agents running 24/7 in Google cloud
Hands off the keyboard
Eyes on the orchestration
Better than most $500 AI coding courses
Bookmark and watch the full interview
moy yewhon retweeted
Running 5+ different AI chats across two monitors feels like having superpowers.
Claude Code here, Codex there, Hermes in the corner, all working at once.
But this gets messy fast. Threads pile up, work gets lost, and by Thursday you can't even remember what you were even supposed to ship.
So everything those chats produce should feed two places.
Obsidian and Linear.
Here's why:
moy yewhon retweeted
an OpenAI engineer just showed how he gets agents to do his whole job: code, debug and more, using loops
29 minutes from the engineer who coined "harness engineering"
he writes the rules, agents write the code, a reviewer agent loops until it's right
the winners won't have the smartest model, they'll have the best loop around it
watch it, then read the full guide on loops below
moy yewhon retweeted
My friend applied to 200 tech jobs in two years. No CS degree. No callbacks.
Last month Anthropic offered him $750,000.
All because of one Stanford lecture. Free on YouTube. One hour.
A professor explains how ChatGPT actually works. Not the Twitter version. The real one.
He watched it in bed. Paused it eleven times. After that hour he told me something I didn't believe. "It's embarrassingly simple."
Three days later he applied to Anthropic.
Every single question they asked him, he knew from that video.
Readers added context they thought people might want to know
Anthropic's engineering interviews require coding challenges, system design, past experience discussions, and alignment checks; $750,000 offers target senior/lead roles with substantial expertise, not entry-level hires. interviewing.io/anthropic-inte… anthropic.com/careers levels.fyi/companies/anth…
moy yewhon retweeted
Met a guy making $1.6 million a year.
Three days ago he was at a Meta conference. Told me he saw the best AI talk of his life.
Boris Cherny was on stage. Showed how the Anthropic team actually uses Claude day to day.
Boris deleted his IDE eight months ago. Now he codes from his phone.
I watched it last night. Had to pause it twice.
Not because it was hard. Because I realized I've been using Claude like a toy.
He sent me the recording. It was never published.
Posting it below.
moy yewhon retweeted
A senior Google engineer dropped a 424-page doc on agentic design patterns.
424 pages.
Most engineers bookmarked it and never opened it again.
I read the whole thing.
Here are the 15 patterns that actually matter — explained in plain English, with exactly when to use each one ↓
moy yewhon retweeted
Google CEO, Sundar Pichai:
"If you don't teach your agents to debug themselves now, you will keep wasting hours every week."
In 30 minutes he explains why the best engineers stopped writing code and started building agents.
Most people think building an agent requires an engineering degree.
It doesn't. It requires one guide and one afternoon.
Watch the interview, then save the exact setup below 👇
