ikov

[ikov @ikovgeek]

Google Brain founder Andrew Ng gave the best 37-minute Stanford lecture on AI opportunities: from building AI apps to creating million-dollar businesses.

He explains how AI projects that once took 6–12 months can now be built in days.

01:15 - why AI is the new electricity
06:22 - how LLMs actually work
08:06 - building AI apps in days, not months
18:40 - low-code and no-code AI
22:23 - where the real AI opportunities are
28:29 - how to build AI startups

most people are trying to build the next ChatGPT

he explains why the bigger opportunity might be solving problems in industries nobody talks about

the next million-dollar AI business might be hiding in the

most boring industry you can imagine

this lecture is from 2023, but the lesson matters even more today

watch it today

follow me, don't lose me.

[ikov @ikovgeek]

Google Brain founder Andrew Ng gave the best 37-minute Stanford lecture on AI opportunities: from building AI apps to creating million-dollar businesses.

He explains how AI projects that once took 6–12 months can now be built in days.

01:15 - why AI is the new electricity
06:22 - how LLMs actually work
08:06 - building AI apps in days, not months
18:40 - low-code and no-code AI
22:23 - where the real AI opportunities are
28:29 - how to build AI startups

most people are trying to build the next ChatGPT

he explains why the bigger opportunity might be solving problems in industries nobody talks about

the next million-dollar AI business might be hiding in the

most boring industry you can imagine

this lecture is from 2023, but the lesson matters even more today

watch it today

follow me, don't lose me.

[beamnxw ./ @beamnxw]

holy sh*t, Google Research just open-sourced an agent that can improve its own harness

steal this blueprint for a self-improving agent

the prompts, memory, skills and tool guidance around your model can evolve as it works

it’s called Harness²

the loop:

→ propose changes to the agent’s setup
→ run candidate setups on the same task
→ compare what actually happened
→ compose a refined harness from that evidence
→ carry useful lessons into future tasks

the clever part:

it refines the harness on unfamiliar tasks without a ground-truth answer to guide those edits

the architecture:

propose → probe → compose → retain lessons → repeat

the part builders should steal:

treat your agent’s setup as something you can experiment on

pick a recurring failure
propose a specific harness change
compare execution traces on the same task
evaluate the result
keep the evidence with the change

the repo includes OpenCode and Codex executors, parallel and sequential refinement, and a local demo you can run without model credentials

save this, then read the full guide for Opus 5.5 Harness Engineering ↓

[ikov @ikovgeek]

@beamnxw thank you! saved

[ikov @ikovgeek]

STOP BOOKING HOTELS MANUALLY

xAI's Grok Bot can turn hours of hotel research into a single AI-powered workflow.

Here's how to make it your personal hotel booking agent:

Step 1: Open Grok Bot and add the Travel Coordinator.

Step 2: Give it one instruction:

"Find me the best hotel in Tokyo for 5 nights, under $200/night. Compare prices, reviews, locations and cancellation policies. Find the best overall deal and prepare it for booking."

Step 3: Let Grok Bot handle the research:

→ Search hotels across booking platforms
→ Compare room prices and total costs
→ Analyze ratings and guest reviews
→ Check availability for your dates
→ Find hotels within your budget
→ Compare locations and nearby attractions
→ Identify hidden fees
→ Check cancellation policies
→ Rank the best available options
→ Prepare your preferred hotel for booking
→ Request your approval before payment
→ Organize your itinerary and calendar

Step 4: Review the best option and approve the booking.

No endless tabs. No manual comparisons. No wasted hours.

Just tell Grok Bot where you're going and what you need.

The video illustrates how an AI hotel-booking workflow can look.

follow me, don't lose me.

[ikov @ikovgeek]

STOP BOOKING HOTELS MANUALLY

xAI's Grok Bot can turn hours of hotel research into a single AI-powered workflow.

Here's how to make it your personal hotel booking agent:

Step 1: Open Grok Bot and add the Travel Coordinator.

Step 2: Give it one instruction:

"Find me the best hotel in Tokyo for 5 nights, under $200/night. Compare prices, reviews, locations and cancellation policies. Find the best overall deal and prepare it for booking."

Step 3: Let Grok Bot handle the research:

→ Search hotels across booking platforms
→ Compare room prices and total costs
→ Analyze ratings and guest reviews
→ Check availability for your dates
→ Find hotels within your budget
→ Compare locations and nearby attractions
→ Identify hidden fees
→ Check cancellation policies
→ Rank the best available options
→ Prepare your preferred hotel for booking
→ Request your approval before payment
→ Organize your itinerary and calendar

Step 4: Review the best option and approve the booking.

No endless tabs. No manual comparisons. No wasted hours.

Just tell Grok Bot where you're going and what you need.

The video illustrates how an AI hotel-booking workflow can look.

follow me, don't lose me.

[Gipp 🦅 @gippp69]

https://t.co/gTEKJ3i4XU

[ikov @ikovgeek]

OpenAI co-founder Andrej Karpathy just delivered the best 30-minute masterclass on Agentic Engineering: from vibe coding to Software 3.0.

00:44 - why programmers feel behind
02:28 - Software 3.0 explained
09:41 - why AI needs verification
15:46 - vibe coding vs agentic engineering
25:17 - agents everywhere

Prompts → Vibe Coding → Agents → Engineering

most people will stop at generating code and call it progress

he explains why building reliable systems requires an entirely different discipline

you can outsource the thinking, but not the understanding

watch it today

follow me for more AI breakthroughs, engineering insights, and tutorials worth your time.

[ikov @ikovgeek]

@0x_Vexly yes

[ikov @ikovgeek]

Elon says connecting Grok Bot to X is the best way to use it.

So we took that idea and built something for crypto.

What if Grok Bot could find promising projects before influencers even mention them?

Here's the concept we built:

- scans GitHub for unusual developer activity
- tracks funding rounds and early investor moves
- monitors X for emerging narratives and discussions
- connects the signals to identify projects gaining momentum
- flags potential opportunities and risks before the hype starts

The goal isn't to chase the next 100x after everyone starts posting about it.

It's to spot the signals before the timeline catches on.

My read: everyone is using AI to analyze what's already trending. The real opportunity is finding what hasn't started trending yet.

Here's what our Grok Bot concept looks like ↓

[Gipp 🦅 @gippp69]

https://t.co/gTEKJ3i4XU

[ikov @ikovgeek]

Skip Netflix & chill tonight. Learn these 600 DeepSeek prompts instead.

Most people use AI like a search engine. These prompts help you unlock what it can actually do.

→ Coding & Development
→ AI Agents & Automation
→ Business & Monetization
→ Research & Analysis
→ Content Creation

And the timing couldn't be better.

DeepSeek just released a new model that's making AI agents dramatically cheaper.

A friend of mine wrote an excellent breakdown of the update, including 3 copy and paste JSON prompts to get started.

Full article below. Save this.

[ikov @ikovgeek]

Skip Netflix & chill tonight. Learn these 600 DeepSeek prompts instead.

Most people use AI like a search engine. These prompts help you unlock what it can actually do.

→ Coding & Development
→ AI Agents & Automation
→ Business & Monetization
→ Research & Analysis
→ Content Creation

And the timing couldn't be better.

DeepSeek just released a new model that's making AI agents dramatically cheaper.

A friend of mine wrote an excellent breakdown of the update, including 3 copy and paste JSON prompts to get started.

Full article below. Save this.

[yurshev @yurshevv]

https://t.co/ubeBj9Y9zf

[ikov @ikovgeek]

SpaceXAI engineer Lauren Tan just explained how she shipped 2,000+ PRs in one month using AI agents.

The best 1-hour breakdown of autonomous engineering I've seen:

00:00 - building trust in AI agents
11:09 - scaling software factories
26:01 - agent tools and constraints
33:02 - orchestration and loops
46:07 - autonomous code reviews
56:02 - reusable agent skills

Prompts → Agents → Loops → Systems

most people will stop after building one agent and call it automation

she built the verification system that lets agents keep

shipping without constant supervision

same models, completely different workflow

watch it today

the full Grok Bot guide is below, save it while it is still early ↓

[ikov @ikovgeek]

DeepSeek just beat Claude Opus 5 on an AI coding benchmark at roughly 50x lower cost.

Yannic Kilcher's 1-hour DeepSeek lecture explains the engineering behind its rise:

00:00 - DeepSeek and GRPO
03:50 - building training datasets
18:20 - model training
27:26 - reinforcement learning
30:52 - how GRPO works
1:03:23 - what comes next

Data → Training → Reasoning → Agents

most people will compare benchmark scores and stop there

the real opportunity is building agents that cost a fraction of what they used to

same tasks, different economics
watch it today

the full DeepSeek V4.1 breakdown and 3 ready-to-use prompts are below, save it while it is still early ↓

[ikov @ikovgeek]

DeepSeek just beat Claude Opus 5 on an AI coding benchmark at roughly 50x lower cost.

Yannic Kilcher's 1-hour DeepSeek lecture explains the engineering behind its rise:

00:00 - DeepSeek and GRPO
03:50 - building training datasets
18:20 - model training
27:26 - reinforcement learning
30:52 - how GRPO works
1:03:23 - what comes next

Data → Training → Reasoning → Agents

most people will compare benchmark scores and stop there

the real opportunity is building agents that cost a fraction of what they used to

same tasks, different economics
watch it today

the full DeepSeek V4.1 breakdown and 3 ready-to-use prompts are below, save it while it is still early ↓

[yurshev @yurshevv]

https://t.co/ubeBj9Y9zf

[ikov @ikovgeek]

WOULD YOU TRUST YOUR LIFE TO A FLYING TESLA?

Elon Musk just unveiled the new Tesla Roadster, and the numbers sound like science fiction.

0–60 mph: 0.81 seconds claimed
Top speed: 230+ mph
Range: 300+ miles
SpaceX thrusters for midair maneuvers
Production target: 2028

The prototype can jump over cars, flip through the air, and even drive upside down.

This isn't a movie anymore.

Would you actually get behind the wheel?

[ikov @ikovgeek]

WOULD YOU TRUST YOUR LIFE TO A FLYING TESLA?

Elon Musk just unveiled the new Tesla Roadster, and the numbers sound like science fiction.

0–60 mph: 0.81 seconds claimed
Top speed: 230+ mph
Range: 300+ miles
SpaceX thrusters for midair maneuvers
Production target: 2028

The prototype can jump over cars, flip through the air, and even drive upside down.

This isn't a movie anymore.

Would you actually get behind the wheel?

[ikov @ikovgeek]

THIS RARE ANDREW NG LECTURE EXPLAINS WHY AI TEAMS ARE THE FUTURE.

“Agentic workflows will drive massive AI progress.”

And xAI is already putting that idea into practice.

One Grok Bot engineer went from managing 15 cloud agents to over 200.

With just six bots.

Five specialized engineers. One operations manager.

The secret isn't having more bots.

It's building a team where every agent has its own role, memory, and responsibilities.

Watch this lecture, then read my full guide below on how to build your first AI team with Grok Bot. ↓

[distort @distortgeekin]

Grok Bot could be the first team you build instead of hire

Six bots can run 200+ agents, hold their own 5 a.m. standup and hand you one board in the morning

In this article, I show you how https://t.co/cqCWdWY857