This is f*cking insane. Sam Altman (CEO of OpenAI):
"You don't need to write prompts anymore. You need loops and graphs."
In 37 minutes he explains how to use LLMs better than almost anyone does
Prompts → Agents → Loops → Graphs
skip a layer and it comes back as a failure you blame on the model
by the time you trace it the week is already gone
most people keep chasing better prompts. the loop is what makes the model work for you
watch it today, then save the full ai engineering guide below ↓
This is f*cking insane. Sam Altman (CEO of OpenAI):
"You don't need to write prompts anymore. You need loops and graphs."
In 37 minutes he explains how to use LLMs better than almost anyone does
Prompts → Agents → Loops → Graphs
skip a layer and it comes back as a failure you blame on the model
by the time you trace it the week is already gone
most people keep chasing better prompts. the loop is what makes the model work for you
watch it today, then save the full ai engineering guide below ↓
This is f*cking insane... Andrej Karpathy. 8 years at OpenAI and Tesla.
Last week he packed everything he knows into one free 2-hour lecture.
Agents → Loops → Harness → Graphs
People burn $15k on bootcamps that cover less than this.
2 hours feels like a lot right now.
Don't let it scroll past your feed.
Watch it today, then save the full graph engineering guide below ↓
This is f*cking unbelievable. Anthropic engineer:
"You're not supposed to prompt Opus 5.5
You're supposed to build a system that prompts itself. At Anthropic, 90% of our engineers have already built such systems"
In 30 minutes she shows exactly how Anthropic builds agents that remember, fix their own errors and get sharper with every run.
95% of people are still prompting manually, the 5% who watch this know what building looks like
Worth more than any $1,500 course on agents you'll find
Watch it, then read the article below ↓
This is f*cking insane. Andrej Karpathy (ex-OpenAI, ex-Tesla AI lead):
"Agents aren't magic. They're distillation at scale
99.99% of your model's capacity is wasted on data it never needed"
In 16 minutes, he breaks down the stack that actually ships: a small model, the right tools and a closed loop
Big Model → Small Model → Right Tools → Closed Loop → Self-Improving Agent
skip the loop and it comes back as a failure you blame on the model
Worth more than any $500 AI course this year
Bookmark and watch it today
Then read the "Harness, Loops, Graphs" guide below - the closed loop is the harness ↓
This is f*cking insane. Anthropic Research Lead:
"Over 90% of our code is already merged by Claude
The secret is a harness that lets the model check its own work, fix it and run again"
In 20 minutes, an Anthropic researcher walks through building the exact harness that makes every agent run sharper than the last
Claude → Harness → Plan → Verify → Loops → Self-Improving Agents
skip the harness and it comes back as a failure you blame on the model
by the time you trace it back the week is already gone
Worth more than most $1,000 harness engineering courses
Bookmark and watch it today
Then read the full ai engineering guide below ↓
Сhisei retweeted
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Hyped NFT project on @QuaiNetwork
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Hyped NFT project on @QuaiNetwork
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Сhisei retweeted
Hyped NFT project on @QuaiNetwork
10 @quaipenguins 🐧 Whitelist Giveaway here on X and
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Сhisei retweeted
Replying to @QuaiNetwork
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Hyped GTD Whitelist giveaway
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