ultima

content creator | ai developer

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[ultima @ultimaxbt]

Google Brain founder Andrew Ng:

"Prompting will die in 6 months

Harnesses are what's replacing it"

Prompts → Agents → Harness → Loops → Graphs → Self-Improving Systems

In 97 minutes, Andrew shows how to build a harness that lets agents plan, execute, verify, and improve without you

A harness → Loads the right context → Routes each task → Checks the output → Triggers the next step

Most people are still perfecting prompts while the real work is moving into the harness

Bookmark and watch it today

Then save the full guide on harness engineering below ↓

[rari @0xwhrrari]

https://t.co/3ANIWs48lJ

[ultima @ultimaxbt]

Google Brain founder Andrew Ng:

"Prompting will die in 6 months

Harnesses are what's replacing it"

Prompts → Agents → Harness → Loops → Graphs → Self-Improving Systems

In 97 minutes, Andrew shows how to build a harness that lets agents plan, execute, verify, and improve without you

A harness → Loads the right context → Routes each task → Checks the output → Triggers the next step

Most people are still perfecting prompts while the real work is moving into the harness

Bookmark and watch it today

Then save the full guide on harness engineering below ↓

[ultima @ultimaxbt]

Anthropic hired this engineer at $250K–$750K a year because he knows how to build harnesses for multi-agent systems

In a 15-minute workshop, he shows exactly how to build one from scratch

AI → Agents → Harness → Loops → Graphs

step 1 → start with the Claude Agent SDK — the harness handles loops, context, and sandboxing

step 2 → separate the brain from the hands — reasoning in one place, tools in a sandbox, 60% faster to first token

step 3 → run it server-side and log every step — close your laptop and it keeps running, crashes resume from the log

step 4 → make failure cheap — retry dead sandboxes and replay lost context instead of starting over

step 5 → turn yesterday's logs into new memory and skills — the harness wakes up smarter

Anthropic calls this "dreaming"

Most people spend weeks building this by hand

You don't have to

Bookmark and watch it

Then read the full harness engineering guide below ↓

[ultima @ultimaxbt]

Anthropic hired this engineer at $250K–$750K a year because he knows how to build harnesses for multi-agent systems

In a 15-minute workshop, he shows exactly how to build one from scratch

AI → Agents → Harness → Loops → Graphs

step 1 → start with the Claude Agent SDK — the harness handles loops, context, and sandboxing

step 2 → separate the brain from the hands — reasoning in one place, tools in a sandbox, 60% faster to first token

step 3 → run it server-side and log every step — close your laptop and it keeps running, crashes resume from the log

step 4 → make failure cheap — retry dead sandboxes and replay lost context instead of starting over

step 5 → turn yesterday's logs into new memory and skills — the harness wakes up smarter

Anthropic calls this "dreaming"

Most people spend weeks building this by hand

You don't have to

Bookmark and watch it

Then read the full harness engineering guide below ↓

[rari @0xwhrrari]

https://t.co/3ANIWs48lJ

[ultima @ultimaxbt]

Andrej Karpathy spent 8 years at OpenAI and Tesla

Last week, he condensed everything he knows into one free 2-hour lecture

Agents → Loops → Harness → Self-Improving Systems

People pay $14K for bootcamps that teach less than this

This lecture beats most paid AI engineering courses

You probably don't have 2 hours right now

Don't let this disappear from your feed

Bookmark and watch it

Then read the article below

[ultima @ultimaxbt]

Andrej Karpathy spent 8 years at OpenAI and Tesla

Last week, he condensed everything he knows into one free 2-hour lecture

Agents → Loops → Harness → Self-Improving Systems

People pay $14K for bootcamps that teach less than this

This lecture beats most paid AI engineering courses

You probably don't have 2 hours right now

Don't let this disappear from your feed

Bookmark and watch it

Then read the article below

[rari @0xwhrrari]

https://t.co/3ANIWs48lJ

[ultima @ultimaxbt]

SpaceXAI engineer Lauren Tan:

"I'm running 20+ GrokBot agents with /loop and /goal inside pstack

My bots ship code while I sleep

At SpaceXAI, 85% of engineers are already running 10+ GrokBot agents as a team

One Chief of Staff agent knows every other bot and manages the entire system"

GrokBot → /loop → /goal → Chief of Staff → Agent Teams

In a 1-hour workshop, Lauren shows how to build a team of GrokBot agents from scratch

Research → Code → Review → Ship

Worth more than most $1500 agent engineering courses

Bookmark and watch it today

Then read the full article on building a GrokBot agent team from scratch

[ultima @ultimaxbt]

SpaceXAI engineer Lauren Tan:

"I'm running 20+ GrokBot agents with /loop and /goal inside pstack

My bots ship code while I sleep

At SpaceXAI, 85% of engineers are already running 10+ GrokBot agents as a team

One Chief of Staff agent knows every other bot and manages the entire system"

GrokBot → /loop → /goal → Chief of Staff → Agent Teams

In a 1-hour workshop, Lauren shows how to build a team of GrokBot agents from scratch

Research → Code → Review → Ship

Worth more than most $1500 agent engineering courses

Bookmark and watch it today

Then read the full article on building a GrokBot agent team from scratch

[rari @0xwhrrari]

https://t.co/GoJ0DWB7Ve

[ultima @ultimaxbt]

OpenAI CEO Sam Altman:

"You don't need to write prompts yourself anymore"

ChatGPT → Context → Tools → Agents → Self-Prompting Systems

In under 40 minutes, he explains how to use ChatGPT better than most people

He originally delivered this lecture to Stanford students

A friend sent me the recording

I watched it last night and realized I was using less than 12% of what ChatGPT can actually do

Bookmark and watch it

Then read the guide below to build a system that prompts itself

[ultima @ultimaxbt]

OpenAI CEO Sam Altman:

"You don't need to write prompts yourself anymore"

ChatGPT → Context → Tools → Agents → Self-Prompting Systems

In under 40 minutes, he explains how to use ChatGPT better than most people

He originally delivered this lecture to Stanford students

A friend sent me the recording

I watched it last night and realized I was using less than 12% of what ChatGPT can actually do

Bookmark and watch it

Then read the guide below to build a system that prompts itself

[rari @0xwhrrari]

https://t.co/3ANIWs48lJ

[ultima @ultimaxbt]

Andrej Karpathy:

"Prompting is fading away

The real work is building the harness around the model"

In this 1-hour lecture, he explains why model intelligence alone isn't enough and how the surrounding system turns it into reliable software

The missing layer most people overlook:

LLMs → Prompts → Agents → Harnesses

The model is only one component

The harness is what makes it useful

Bookmark and watch it first

Then read the full Harness Engineering guide below

[ultima @ultimaxbt]

Andrej Karpathy:

"Prompting is fading away

The real work is building the harness around the model"

In this 1-hour lecture, he explains why model intelligence alone isn't enough and how the surrounding system turns it into reliable software

The missing layer most people overlook:

LLMs → Prompts → Agents → Harnesses

The model is only one component

The harness is what makes it useful

Bookmark and watch it first

Then read the full Harness Engineering guide below

[rari @0xwhrrari]

https://t.co/3ANIWs48lJ