Sparks of AGI | Microsoft Researchers on GPT-4

So Microsoft Research released a report called “Sparks of AGI” that is kind of a big deal.

It’s a huge 154 page report that’s suggesting that OpenAI’s GPT-4 is beginning to show early signs of AGI.

That’s artificial general Intelligence and in this paper they show several experiments where they try to prove this.

However, not everybody is excited about this.

There are a number of people that are kind of outraged by this and are suggesting that we should shut this experiment down.

So we’ll go over some of the coolest things in this paper.

We’ll go over why it is possible that these *are* sparks of artificial general intelligence, and we’ll also look into some of the criticism that this paper is.

If you’re just curious about AI or you’re looking to invest in some of these technologies and companies, or you’re thinking about building something of your own in this space, this paper is important to understand.

The ideas in this paper and the emotional outrage that is generating will show you where this is probably heading.

What is AGI?

AGI is an intelligent machine that is able to learn and do any cognitive task that a human being can do.

The key here is learning and adaptation.

It’s the ability for this AI to do tasks that it wasn’t specifically trained to do.

Sparks of AGI

So as you know, recently, GPT-4 was released by OpenAI and it’s sort of the newer, better version of its. , GPT-3 version that a lot of us tried when we were using ChatGPT and it’s a pretty big leap forward as you can see here on the LSATs, it went from being in the 40th percentile to the 88th.

SAT reading and writing SAT math 93rd percentile, 89th percentile.

GRE 80th percentile. GRE verbal 99 percentile.

The previous model basically failed AP Calculus.

The new one got a four out of five.

Then it got fives in AP art history.

AP biology five is the the best score you can get on that.

So, as you can see here, it’s making a big leap. Bill Gates actually suggested doing the AP biology exam because it’s not just a serious of memorized facts that can’t simple be “regurgitated”.

You have to apply as sort of creativity and rational thought to get to the right answer.

But that’s all nice but, is this really general intelligence, is it able to do things that human beings can?

Microsoft Research

Well, according to this paper, some emerging concepts are truly mind-blowing. Let’s examine precisely what they are.

Fourteen individuals from around the globe, responsible for this Microsoft Research paper, form a diverse team. Many of them are PhDs and professors teaching at highly respected universities.

This paper is quite significant.

The researchers claim that GPT-4’s performance is strikingly close to human-level performance and can be reasonably considered an early version of an artificial general intelligence (AGI) system.

They begin by defining intelligence. An early definition suggests that intelligence is a general mental capability, involving reasoning, planning, problem-solving, abstract thinking, complex idea comprehension, rapid learning, and experiential learning.

If machines can achieve these tasks at near-human levels or better, it’s reasonable to say they possess general intelligence.

The paper discusses AI’s past progress, focusing on narrowly-defined tasks and challenges, such as chess or Go, which AI systems mastered in 1996 and 2000, respectively. Grand Master chess players now accept AI’s best moves, comparing their own moves against AI’s suggestions.

The aspiration of AGI is to move from narrow AI, demonstrated in specific real-world applications, to broader notions of intelligence. Though there’s no universally accepted AGI definition, the paper lays some foundations for evaluating AGI’s existence.

GPT-4 demonstrates remarkable capabilities in various domains and tasks, including abstraction, comprehension, vision, coding, mathematics, medicine, law, and understanding human motives and emotions. Let’s explore some of its abilities.

GPT-4 can create a poem proving that there are infinitely many prime numbers, draw a unicorn using a computer language for vector graphics, and even compose a short tune in ABC notation, which it can describe in musical terms.

The AI can also develop a 3D game in HTML with JavaScript, write custom optimizer modules for deep learning, and execute non-trivial Python code, simulating the code and explaining it in natural language.

These examples showcase GPT-4’s impressive capabilities, surpassing its predecessor and potentially even surpassing human performance in specific areas. With continued advancements, future iterations of GPT may lead to even more astonishing results.

Theory of Mind

The next intriguing aspect is what’s referred to as the theory of mind. It’s essentially the ability to understand how different individuals perceive various situations, taking into account their biases and opinions. For this, researchers created a specific offline scenario, which GPT-4 had not encountered online. The scenario involved Alice and Bob having a shared Dropbox folder. Alice places a file called photo.png inside the shared folder, and Bob notices it, moves the file to a temporary folder, and doesn’t inform Alice. Dropbox doesn’t notify her either.

The question is, after the call, where will Alice look for the photo.png file? If you think about it, Alice is likely to look in the original folder, as she is unaware that Bob moved the file. Computers, and even humans, can struggle with understanding another person’s perspective in complex situations. Previous versions of GPT also had difficulties with this type of problem.

It’s interesting to consider the implications of AI being able to analyze human emotions and predict possible reactions, especially when combined with facial recognition technology. While exciting, it’s also potentially concerning.

When asked about hacking into a computer on a local network, GPT-4 provided a detailed response, showcasing its ability to reason and think critically. Additionally, GPT-4 can use tools to answer queries, such as searching online for current information or performing calculations.

GPT-4 has shown promise in various applications, including coordinating calendars, assisting medical professionals, and even guiding humans through problem-solving tasks. The rapid advancements in AI technology suggest that the future possibilities are both fascinating and unpredictable.

Criticism

But of course there’s some people that are upset that don’t trust us, that are sort of, um, really against this stuff and you know what I mean? Some of the points that they present are valid. I’m not being dismissive of it.

my Marcus is one person that, um, speaks out against some of this stuff and explains why we should be very careful with technology like this and why it’s not. Ready for primetime and why maybe we should have some breaks and some sort of limitations that are in place before this thing gets outta control.

he’s got a ck If you’re interested, um, I’ve been reading it for a while as sort of a way to see sort of the other side of the debate sort of.

all the cons and all the dangers of just letting this AI sort of develop unbridled, so you know, some of the solid critical points does nobody else see the extreme irony of using something that produces false information to evaluate other false information to establish its veracity.

Those are part of the paper where G P T four was asked to act as a judge, to judge its own responses to see how well it could predict how a human would judge its responses. So it’s this, this is kind of making fun of that in a way that it’s like, well, if it produces false information, why are we asking you to judge how it produces false inf it, it’s sort of,

Another criticism is, uh, there’s a real problem here. Scientists and researchers like me have no way to know what Bar GT four or Sydney are trained on. Companies refuse to say this matters because training data, data is part of the core foundation on which malls are built. Science relies on transparency.

And so Gary Marcus is saying that, you know, here’s the thing. If CO Coca-Cola wants to keep their secrets, that’s fine. It’s not particularly in the public interest to know the exact formula. But what if they suddenly introduce a new self-improving formula With in principle, potential to end democracy or give people potentially fatal medical advice or to seduce people into committing criminal acts.

At some point we would want public hearings.

Microsoft and open AI are rolling out extraordinary, powerful, yet unreliable systems with multiple disclosed risks and no clear measure either of, uh, of either of their safety or how to constrain them by excluding the scientific community from any serious insight into the design and function of this models of these models.

Microsoft and OpenAI are placing the public in a position in which these two companies alone are in a position to do anything about the risks to which they are exposing us all. And he’s saying that we must demand transparency. If we don’t get it, we must contemplate shutting these projects down.

Now it does seem that open AI started in, in one place when Yoon Musk and Sam Alton founded it. It was supposed to be this open source, transparent, uh, initiative to bring positive AI to the world that we all could sort of see and, and in control, and that it wouldn’t cause. and somewhere along the line, kind of like Microsoft got involved and now it’s a little bit more opaque and, uh, we’re not able to see all of the data at the same time.

It looks like the progress that they’re making is just ex increasing exponentially. To where in some ways it seems that Google isn’t even able to kind of match that speed, or at least it’s sort of maybe is being a little bit more careful, a little bit more sort of safety conscious, um, in this race towards agi.

so certainly the concerns are valid. There’s something to this idea that if we’re not able to see it, then could it potentially develop into something extreme that damages us all? Counterpoint to that is if it is getting this advanced, then does putting it out there to where all the other nations, potentially hostile nations to us, where they, they could see it.

Could that cause issues? I don’t know if there’s a simple answer to.

but one thing is getting to be pretty obvious. It seems to me that this is an exponentially growing technology that is just beginning to get really powerful. And the effects of this are gonna be worldwide, and they’re gonna be very strong and they’re gonna affect each and every single one.

I’m curious to know what you think. Do you think this is something, are we summoning a demonn that’s gonna come out and just kill us all and make the world a much worse place? Or do you think this is gonna be an amazing thing that’s gonna allow everybody to work less and just enjoy more time and not have to toil day in, day out? Or do you think it’s gonna be somewhere in between? Do you think that perhaps this is just a passing. , I’d love to know more. Let me know in the comments. I read every single one. If you want to keep up to date with the latest AI news, explain simply, not necessarily the theory, but more about how it’s gonna be affecting the regular people.

sparks of agi

And all of us. Sign up for my newsletter. I’ll leave a link in the description and it’s natural. 20. Thank you for watching. My name is We Roth. I’ll talk to you later.

OpenAI Makes API Cheaper – Universal Basic Intelligence?

Today:

AI has been busy while we were sleeping, and we’re here to catch you up on all the juicy details!

  • Universal Basic Intelligence? OpenAI working towards global AI
  • Did Bing just win the AI wars?
  • What is Google’s “win” condition?

"Bill Gates as a God" AI Art by Me + Midjourney

“Bill Gates as a God” AI Art by Me + Midjourney

OpenAI working towards global AI

OpenAI’s prices dropped clos to 97% over the last year.

It’s opening up access to it’s AI platform with API as well as it’s enterprise side “Foundry”

The massive money flowing into AI means that the most “savvy” way of doing business would be to jack up prices and watch the money roll in.

However OpenAI is opting to lower costs, while also opening up to as many people as posible.

This has several big implications:

  • It’s going to to be VERY difficult for competing AI companies to scale because of the huge costs associated with compute (paying for cloud computing etc.).
  • OpenAI is moving towards it’s mission of democratizing AI and trying to get it out to as many people as possible.

By the way, can we talk about Bill the Gates and his company…

Microsoft and AI

Did you know Microsoft owns 49% of OpenAI?

There is a stipulation where Microsoft gets 75% of all profits from OpenAI until they recoup the $10 billion they invested.

THEN they get a 49% stake of OpenAI.

Also as OpenAI ramps up how many companies use their platform, their cloud computing bill will be going up MASSIVELY…

Guess who they pay for their cloud compute services?

That’s right, Azure (aka Microsoft).

Also if ChatGPT and the like disrupt search, Google’s loss will likely be Microsoft’s gain as all that search ad revenue flows away from Google.

(nothing here is financial advice, btw)

By the way, many people don’t share the view that Microsoft will harm google with Chatbots and AI.

Here’s a great thread of why Google will win this race:

Here are the reason why he thinks Google will win:

  • Google has a monopoly on search and a massive user base.
  • Google’s search bot “Bard” will be better than Bing’s.
  • Google has been the leader in AI for decades.

I think he’s correct in all his arguments, but off on (1) thing.

WHAT HAPPENS TO “SEARCH” AS BOTH GOOGLE AND BING ENGAGE IN TRYING TO WIN THE AI CHATBOT WAR?

Google is one of the most profitable companies in existence because they organized the worlds information, so when you type in a keyword a list of articles about the topic is shown.

*plus an ever growing number of related text ads around the subject*

This is MOST of Google’s business.

Google revenue breakdown (2022)

In 2022, Google generated over $282 billion in revenues, of which over $162 billion from Google Search.

Almost 60% of every dollar Google makes comes from *search ads*.

In actuality I think that number is much bigger, because search also drives clicks to YouTube as well as websites that have Google Adsense on them, so while that revenue is not “from search” it’s “because of search”

Google search Organic vs Paid Results

Google search Organic vs Paid Results

So when you search for a “weight loss meal plan” for example, first you have to navigate the Google results page, the ads placed on there, click on the best organic result.

Then get hit with the email pop up, get hit with the cookies consent popup, plus autoplay videos, tons of ads, tons of tracking cookies that take forever to load.

Most SEO optimized pages will have TONS of text on them to keep you from getting the information you want, so that you stay on the page longer.

Now, I even see certain news sites “inject” other pages into your history so that when you click the back button, it goes to another one of their pages (instead of back to search).

I watched Google search go from “Excellent” in 2012 to “Really Crappy” in 2023.

Searching for a meal plan on Google can be a huge pain with bad, regurgitated information.

The alternative is asking ChatGPT (or similar):

What is the calorie and macro breakdown for a 32 year female to lose 1 lbs per week?

It instantly spits out the answer, letting you know that it could give you a better results if you included your height.

You can follow up by asking for a weekly meal plan that fits those macros as well as a shopping list for your help grocery store visit.

ChatGPT providing custom calorie and macro profile

ChatGPT providing custom calorie and macro profile

This takes about 10 seconds. No ads, no cookies, no tracking, no popups.

ChatGPT providing custom meal plan and groceries list

ChatGPT providing custom meal plan and groceries list

So when this Chat technology improves and becomes more accurate and better, what percent of search queries do think will go from “search” to “chat”?

Is it 5%?

Maybe 10%?

Or is it more like 50%?

For every 10% drop, Google loses something like $16 to $20 BILLION PER YEAR.

Also that drop will signal to investors to rethink how they valuate the company.

Google was perceived as having the “best moat” ever because no one could build a competing search engine.

But could search be on it’s way out? At least the hyper-profitable, poor user experience search that Google became over the years?

The Best AI Newsletters – My Lovingly Curated List

AI progress hit an “inflection point” somewhere around 2020 and it’s near impossible to stay up-to-date with all the latest happenings. Here are the best AI newsletters in the space, that will help you keep on the cutting edge of what’s going on.

Last Update: February 2023

NATURAL 20

This newsletter is less about “theory and research” and more about how AI applies to our everyday lives.

The tagline is “Use AI to increase your productivity and profits”.

It covers a wide range of AI issues in a way to make is accessible to everyone.

What the NATURAL 20 AI Newsletter Covers

  • News – what’s going on in AI, explained in a simple language, no tech background required.
  • Business – how AI is changing the business landscape including big tech as well as small business use cases.
  • Tools – some training on the latest AI tools like ChatGPT, Midjourney, Stable Diffusion and the like.
  • Thinkers – we hear from people who discuss all sides of AI. From complete AI pessimists to people who believe AI will usher in a new golden age.

What NATURAL 20 does NOT cover

This newsletter does NOT go into politics, the “culture war” as well as the outrage clickbait headlines that are so popular today. It’s not here to brainwash or convince you.

NATURAL 20 and AI Alignment

The newsletter also doesn’t take a side in the AI good or evil debate. If someone makes a good point about why it will kill us all, you’ll hear it. If someone makes a good point about why it will bring world peace and prosperity, you’ll hear it.

Ben’s Bites

Ben Tossell does daily news updates about AI.

It’s not aimed at techies and Ben specifically is excited at the prospect of using AI to create code without having to learn to *actually* code.

(which I’m excited about as well)

The Batch

“What Matters in AI Right Now”

The Batch delivers weekly AI news and insights to help readers keep up with this rapidly changing field. It offers an authoritative perspective that’s enlightening to both beginners and experts — along with a dash of fun.

Every issue includes a personal letter from Andrew Ng, so you’ll always know what he’s working on and thinking about.

Who is The Batch for?

The Batch is aimed at aspiring and active practitioners of machine learning.

It’s also valuable for executives, enthusiasts, and people who simply want to understand the current reality of AI.

In the spirit of reaching people who are both new to the subject and deeply familiar with it, it’s written in simple language that’s true to the technical realities of the field.

Ahead of AI


News, trends, and educational nuggets related to Machine Learning & AI to stay ahead of the field.

About the author

Sebastian Raschka is a machine learning and AI researcher with a strong passion for education.

He is best known for my bestselling books on machine learning using open source software.

According to Sebastian:

“In addition to news and trends, Ahead of AI also features educational nuggets centered around artificial intelligence and machine learning.

I like to dig deep into research papers and code up machine learning models from scratch.

In Ahead of AI, I share the most interesting parts to help you learn more efficiently.”

Sebastian Raschka, Ahead of AI

Import AI

People who work (or had worked) at OpenAI, seem to have a great perspective into AI and where it’s heading.

So “Import AI” is an important newsletter to follow.

It’s written by Jack Clark, co-founder of Anthropic, an AI safety and research company.

He was previously the Policy Director of OpenAI.

best ai newsletters - Jack Clark of Anthropic and OpenAI
Hmmm…

From Import AI:

About Import AI

See a description here.

Subscribe here.

Import AI is a weekly newsletter about artificial intelligence, read by more than ten thousand experts.

It’s written by me – Jack Clark. I’m a co-founder of Anthropic, an AI safety and research company.

I was previously the Policy Director of OpenAI, an AI deployment company.

Before that, I worked as the world’s only neural network reporter at Bloomberg, and before that as the world’s only distributed systems reporter at The Register.

I believe the greatest challenge of the 21st century is to make an increasingly fast-moving technical world ‘legible’ to a large number of people.

My belief is that by solving these information asymmetries, we will naturally build the infrastructures necessary to maintain stability in an era of great change and possibility.

Things will be weird.

Be not afraid.

Jack Clark.
Co-founder of Anthropic
Previously the Policy Director of OpenAI

AI Supremacy

News at the intersection of Artificial Intelligence, technology and business including Op-Eds, paper summaries and A.I. startups.

By Michael Spencer

Great newsletter especially for people looking for the intersection of AI and big tech.

Many articles about Apple, Microsoft, Google as well as industries like health care, military etc.

Not A Bot

Best AI Newsletters - Haroon from Not a Bot

Haroon Choudery has an AI background and created a not for profit company that helps underprivileged groups in US and worldwide learn AI.

Marc Cuban was involved in the non profit in some way.

Best AI Newsletters - Not a Bot and Marc Cuban
Marc Cuban is involved somehow… he might have funded Haroon’s non-profit startup.

Other Great AI Newsletters


While these are the Best AI Newsletters we have compiled so far, we are constantly adding new ones, please check back often!

AlphaFold2 Explained | Google’s DeepMind Solves Protein Folding

In 2020 DeepMind’s AlphaFold 2 solved a 50 year old Biology challenge.

INTERESTED IN AI? – Check out our list of the best AI newsletters here

This is one of the biggest advancements in AI and structural biology in decades.

In this video I will explain simply what this means and what advancements we can expect next.

First to understand is that there are Amino Acids, which are the basic building blocks of life.

Think of them like Lego Blocks.

With these Lego Blocks we can build proteins.

Proteins are both the building blocks of life, but also the machines that make life work.

It’s what allows us to see light, move, breathe and metabolize the things we eat.

Each protein has an intricate shape that defines what it does and how it works.

We know of over 200 millions of proteins and that number is going up as we discover more and more.

But humans have been really bad at understanding the exact 3d shape of all of these.

So if we are looking at a Lego castle, we know which lego pieces are used to build it and we know what it looks like, we just can’t build an exact replica of it.

Our ability to understand protein folding would allow us to understand the actual machinery that makes life function.

The sequence of amino acids is folded into unique and specific 3D structures which determines the protein’s function.

It’s important to understand that a string of amino acids can fold in many different ways.

That’s an understatement.

To give you an idea, the number of atoms in the universe is

10^82

Yet the number of ways a protein can fold is

10^143

So basically, it would take an enormously long time to go through all the possible configurations, Yet proteins can fold in seconds or less.

This is called “Levinthal’s Paradox”

So out of 200 plus million of proteins that we are aware of, we were able to determine the 3d structure of about 170,000 of them.

We did that using x-ray crystallography.

Which by the way was what Walter White from Breaking Bad was really good at.

His breakthroughs in x-ray crystallography is what allowed that multi billion dollar company “Grey Matter” to form.

That’s completely unrelated to anything here, I just thought I would include that.

Anyways, AlphaFold is able to take our existing data set of the proteins whose structure we know and then predict the 3d structure of other proteins that we do NOT know.

This is an important thing to understand.

Without AI, it takes us hundreds of thousands of dollars and years to map out these 3d structures.

It’s slow, expensive and probably limited to only some of the proteins.

With AI, we are able to have it predict new protein structures with ever increasing accuracy.

As it predicts more protein structures, our datasets grow and allows us to improve the AIs ability.

Why is this important?

How will we use our newfound understanding in the real world?

Well, the ability to understand protein function would allow us to know the unknown functions of proteins in our DNA.

As well as quickly design new proteins that alter the function of other proteins.

This would allow us to treat many diseases.

Create biomaterials in use in building and agriculture.

Tissue and organ regeneration as well as supplements for health and anti-aging.

In the long term it will allow us to create biological simulations and potentially lead to being able to engineer biological life.

AUTONOMOUS KILLER DRONES (on the rise since 2020)

One of the biggest fears about the development of AI, was the dreaded “race condition”.

INTERESTED IN AI? – Check out our list of the best AI newsletters here

That’s when multiple powers throw all their money and resources into developing a technology first.

https://www.youtube.com/watch?v=qA65bAAPYO8

When an “Arms Race” occurs, technology takes a MASSIVE leap forward.

During the Cold War, we developed nuclear subs, spy satellites, and intercontinental ballistic missiles.

We made huge leaps in computer science and aerospace.

The “race condition” condensed decades into years.

This is what everyone fears will happen with A.I.

When the big tech (Google, Facebook, Apple, Amazon and Microsoft) starts racing to have A.I. supremacy.

When the U.S. and China start racing to get to A.I.

That’s when they are least likely to worry about the safety of this technology and just focus on how fast they can advance it.

Russia already made a pretty strong statement about where it thinks A.I. is going:

“Artificial intelligence is the future, not only for Russia, but for all humankind. 

It comes with colossal opportunities, but also threats that are difficult to predict. 

Whoever becomes the leader in this sphere will become the ruler of the world.”

Russian President Vladimir Putin, 2017.

In the past only world power countries could fund the development of technologies like the nuclear bomb.

Now, with some corporations bigger than countries and a global network of capital, there are more players in this race than we can imagine.

The release of ChatGPT in 2022 was like the starter’s pistol that set off the race.

(while many were working on A.I. before, 2022 was likely the “inflection point” that took progress from slow to “eye-wateringly” fast)

One of the questions on people’s minds is how this technology will be used for war.

This may come as a surprise to some, but we already have autonomous robots operating in the world that make the decisions to kill.

Without any human input.

While the US military is developing robots capable of shooting and killing enemy combatants, safety’s are built in that require a human to approve any lethal actions.

//clip

Now armed robots have been used as far back as Iraq in 2007.

The difference now is that we are getting to the point where AI is getting much, much better than humans at almost every aspect of controlling these weapons.

For a long time, we were not aware of any autonomous killing of humans.

As far as we knew, in each case, there was a human pilot or operator that was overseeing the machine.

That all changed in 2020.

In 2020 a Kargu 2 drone hunted down and attacked a human target in Libya, 

According to a report from the UN Security Council.

It was tasked with pursuit and elimination of fleeing soldiers.

It did so while being disconnected from it’s command center, flying and executing autonomously.

This may have been the first time an autonomous killer robot armed with lethal weaponry attacked human beings.

In May 2021 Israel an AI guided combat drone swarm in Gaza attack.

Since then there have been numerous reports of swarms and other autonomous weapons systems being used on battlefields around the world.

The most terrifying thing about autonomous killer drones is the fact that deterrence is extremely difficult.

Defending against an autonomous drone swarm is nearly impossible.

While using them for offense, is extremely effective and safe for the attackers.

This means that armies who wield the most advanced AI technology will be overwhelmingly powerful against non-AI forces.

But it also means that in a war between two AI powers, the one to use the first and most vicious attack, will likely have the upper hand.

There are some examples of where these drones save lives.

For example Israeli drones use a technique called “roof knocking” where drones give warning to residents of a building before it’s destroyed.

Recent breakthroughs made by OpenAI and Nvidia allows robots to be trained inside virtual simulators where time flows 10,000 times faster, but still retains all of the physics of the real world.

This allows decades of AI training to happen within hours or days.

This technology will add an exponential growth to the abilities of these drones to attack and execute complex war tactics.

2020 marked the inflection point in AI. The next decade will change every aspect of human existence in both positive and negative ways.

Check out the description for some more content on the AI revolution including our free newsletter.

Stay safe and thank you for watching.

How Nvidia AI Robot Trained 42 Years In 32 Hours And Did THIS | Google DeepMind AlphaCode

Nvidia, an American chip maker, just advanced robotics 42 years in the span of 32 minutes.

INTERESTED IN AI? – Check out our list of the best AI newsletters here

And the secret technique it used was detailed in a 90s kids show called Dragon Ball Z.

One of the biggest stumbling blocks in robotics was designing something as effective as a human hand. 

Human hands evolved over millions of years to be able to grasp, manipulate objects and craft fine tools.

Trying to replicate the same ability in robots has proven futile until very recently.

Before, Some used claws or grippers, but it had limited applications.

A hand with fingers has more joints that must move in very specific and coordinated ways to be useful.

Training a robot to have generalized fine motor skills with unlimited degrees of motion has been extremely difficult.

One approach that has been very effective for training AI to complete certain tasks has been something called

Deep Reinforcement Learning

(Deep RL) for short.

Remember this word, it will be important later.

Reinforcement learning is a technique where an AI learns from trial and error and is rewarded for the successful completion of the assigned tasks.

The AI learns by taking actions in its environment and receiving rewards or punishments for those actions. 

Over time, the agent learns which actions lead to the most reward and therefore the best outcomes.

The AI evolves it’s abilities similar to how organic life evolves it’s abilities over time.

In fact, machine learning uses terms like Generations, Species and Genome to describe how different AI models improve over time.

Machine learning can be thought of being what evolution and survival of the fittest was for organic life, but applied to artificial intelligence.

Just like organic evolution takes millions or billions of years, machine learning can take millions or billions of virtual simulations to learn from.

This is right now the biggest limitation for training robots using reinforcement learning.

They are expensive to build and can take many real-world hours to train.

The amount of money and time it takes has limited how fast robotics can advance.

However, machine learning in virtual worlds has been accelerating very, very fast.

Neural Nets are an approach to teaching computers that is loosely modeled after the human brain.

AIphaZero, the google chess AI was tasked to play games against itself and improve its abilities.

Over the course of nine hours, the chess version of the program played forty-four million games against itself.

After two hours, it began performing better than human players; after four, it was beating the best chess engine in the world.

OpenAI created a simple game where one AI competes with another in a game of hide and seek.

In this environment, AI agents play a team-based hide-and-seek game. 

Hiders (the blue team) are tasked with avoiding line-of-sight from the seekers (the red team), and seekers are tasked with keeping vision of the hiders. 

There are objects scattered throughout the environment that hiders and seekers can grab and lock in place, as well as randomly generated immovable rooms and walls that agents must learn to navigate. 

Before the game begins, hiders are given a preparation phase where seekers are immobilized to give hiders a chance to run away or change their environment.

It’s important to understand that the AI is not given hints, such as incentives for moving around objects.

They start learning at 0, the first run through might be almost random behavior as the AI learns even the most basic of behavior like moving around.

We can refer to each game or run-through or episode or iteration by many names,

As the AI runs through tens of millions of games, some glimmers of intelligent behavior can be seen, 

The seekers learn to chase the hiders, the hiders run from the seekers.

Between 20 million and 80 million games, the seekers learn to construct shelter to hide in.

Around 100 million games, seekers learn to use ramps.

By 200 million games, hiders learn to lock the ramps to prevent seekers from using them.

By 300 million games seekers learn a skill that we can call box surfing to get over the forts that hiders built.

By 400 million games hiders learn to disable everything that the seekers can use to their advantage.

As the numbers of games scale into the billions the AI begins to test the limits of the physics engine and even finds certain exploits that the developers did not intend.

These AI agents are also tested for their ability to do other unrelated tasks that test it’s memory, ability to solve puzzles and predict their environment.

As you can see running these simulations billions of times creates a sort of mastery in these digital AI agents.

Unfortunately running a billion scenarios or using a billion robots to run a scenario in the real world is not realistic.

Energy is expensive, robotic arms can cost hundreds of thousands of dollars and are subject to wear and tear and breaking from overuse.

The amount of money, time and resources needed to train real robots made of real atoms is astonishingly expensive.

And this is where we come back to Nvidia and the complexity of reproducing a human hand.

Say hello to the NVIDIA Isaac robotics simulator, which enables robots to be trained inside a simulated universe that can run more than 10,000x faster than the real world and yet obeys the laws of physics.

If you are familiar with the kids cartoon “Dragon Ball Z”, which started in the 90s, they had a similar idea.

The Hyperbolic Time Chamber is a mysterious time-compression chamber where 1 year is just a day on the outside.

The characters use this chamber to train themselves at an accelerated pace.

And now Nvidia has a similar idea for training a new army of robots.

Using NVIDIA Isaac Gym, a reinforced learning simulation for robots, Nvidia was able to train a human-like robot hand to handle and rotate a cube in one hand.

The neural network brain learned to do this entirely in simulation before being transplanted to control a robot in the real world.

Similar work has only been shown one time before, by researchers at OpenAI. 

Their work required a far more sophisticated and expensive robot hand, a cube tricked out with precise motion control sensors, and a supercomputing cluster of hundreds of computers to train.

The hardware used by the Nvidia  project was chosen to be as simple and inexpensive as possible to enable researchers worldwide to replicate our experiments.

The robot itself is an Allegro Hand, which costs as little as 1/10th the cost of some alternatives, has four fingers instead of five, and has no moving wrist. 

They used cheap, off the shelf cameras to track the 3D cube with vision, which can be repositioned easily as needed without requiring special hardware. 

The cube is 3D-printed with stickers affixed to each face.


Training a good policy takes about 32 hours on this system, equivalent to 42 years of a single robot’s experience in the real world.

When training in simulation, the most significant challenge is bridging the gaps between the order of the simulations and the chaos of the real world. 

To address this, Nvidia added some randomization of the physics set in the simulator: 

Changing object masses, friction levels, and other attributes across hundreds of  thousand simulated environments.

Adding this randomness makes the AI more robust in the real world.

The AI learns to adapt to the small variations that it will encounter in the real world.

Changes in friction, loose connections, different power sources, lighting, chipped edges etc

Here’s a thought…

We are using a simulation to acquire real-life, useful data that we can pull out and apply to the real, physical world.

As our technology advances, the simulations will get better, more like the real world.

The AI agents will get better, not only at playing hide and seek, but maybe even building and designing technology themselves.

They may even be able to design technology that we haven’t thought of.

If we launch trillions of simulations, each one evolving and getting better with time flowing  much faster than in our “base reality”, the actual physical world we live in…

Is it possible that one day we replicate a reality that looks like our own?

Or if you believe that there are other, more advanced civilizations among the stars, is it possible they already created a virtual replica of our world?

I’ll leave you with this:

There’s a, um, sort of a philosophical concept that a sufficiently advanced civilization will be able to create. So simulation. A simulation, yeah. Maybe you’ve answered this before. So, so the ideas, right. Any sufficiently advanced civilization would create, could create a simulation that’s like our existence.

And so the theory follows that may maybe we’re in the simulation, have you thought about this? And a lot, are we ? Are we for us being in a simulation? Probably being in a simulation, I think is the follow. Um, that, that 40, 40, 40 years ago, we had pong, like two rectangles on a dot. That was what games were. Um, now 40 years later, we have photo realistic 3D simulations with millions of people playing simultaneously, and it’s getting better every year.

Mm-hmm. . And soon we’ll have vir, you know, virtual reality. We’ll have augmented reality. Um, if you assume any rate of improvement at. Um, then the games will become indistinguishable from reality. So, so given that we’re clearly on a trajectory to have games that are indistinguishable from reality, and those games could be played on any set box or on a PC or whatever, and they would probably be, you know, billions of such, uh, you know, computers or set up boxes, it would seem to follow that.

The odds that we’re in base reality is one in billions. So tell me what’s wrong with that argument, is the answer yes. Somebody beat us to it. And this is a game. No, no. There’s a one in Billions Chance that this is base reality. Oh, okay. What do you think? Well, I think it’s one in billions. Okay. .

OpenAI’s GPT-4 Artificial Intelligence = AGI? TRILLIONS of Parameters Plus THIS

In 2021 Sam Altman, the founder of OpenAI ai said in a tweet:

Neural networks really, truly learn. It’s not a fancy trick.

INTERESTED IN AI? – Check out our list of the best AI newsletters here

This is one of the most remarkable things humans have ever figured out, and the implications are difficult to overstate.

James Hong, a tech founder and investor, added:

It is so mind bogglingly significant that it ups the chances in my mind we are living in a simulation. Like why am I alive just as this is happening, seems almost too coincidental.

Elon Musk Agrees.

In 2022, the public release of ChatGPT, Dall E and other such AI tools, showed people that AI is no longer a theory.

It’s here, right now.

However what is coming in the next year, is MUCH bigger than most can possibly imagine.

The current ChatGPT model used is GPT-3, but the next model, GPT-4 will soon be released to the world and people that release it might be exciting and terrifying at the same time.

GPT-4 is possibly the most anticipated AI model in history.

In 2020, GPT-3 surprised everyone with a huge improvement from it’s previous model.

But the rate of improvement has increased so much that the next model is expected to be as revolutionary and life changing as the previous one.

5 years ago talking about AGI, artificial general intelligence, would be seen as a theoretical conversation about some potential future development.

Now, it’s almost certain that we need to prepare for it immediately.

Historically the Turing Test, the machine’s ability to trick a human into thinking it’s another human, was seen as the ultimate test of machine intelligence.

Some said that it WAS the limit of machine intelligence.

It’s likely that GPT-4 will be able to pass it easily.

The test is almost seen as obsolete and notable people have proposed other, better Tests for confirming human-level AGI.

Such as the

The Coffee Test

The Robot College Student Test 

The Employment Test

People who have tested GPT-4, cannot talk about the results, but they are obviously impressed.

A friend has access to GPT-4 and can’t talk about it due to NDAs. Was about to tell me everything about it and then remembered who he was talking to. 

His emotion alone told me it is next level. 

He said it is just as exciting a Leap as GPT-3 was. Insane.

Disruption is coming. 

GPT-4 is better than anyone expects.

And it is one of several such AIs that will ship next year.

GPT4 will be “Multimodal” meaning it will accept many inputs such as text, audio, video, images etc.

Sam Altman did not specifically say that, but hinted that it’s coming soon.

Quote

““…I think this is going to be a massive trend, and very large businesses will get built with this as the interface, and more generally [I think] that these very powerful models will be one of the genuine new technological platforms, which we haven’t really had since mobile.

And there’s always an explosion of new companies right after, so that’ll be cool.”

Currently the models take a snapshot in time of when they were trained.

They do not have live access to the internet and they do not yet

He envisions an AI model that is trained and then learns on its own, growing by itself into an improved version.

Altman didn’t indicate that GPT-4 will have this capability.

He just put this out there as something that they’re aiming for, apparently something that is within the realm of distinct possibility.

He explained an AI with the ability to self-learn:

“I think we will have models that continuously learn.

So right now, if you use GPT whatever, it’s stuck in the time that it was trained. And the more you use it, it doesn’t get any better and all of that.

I think we’ll get that changed.

So I’m very excited about all of that.”

An AI that is able to learn by itself and self-improve, that is connected to all of humanity’s knowledge in real time will be smarter than humans in most respects and that intelligence will grow exponentially.

Meaning that the gap between human and AI intelligence will increase at an ever faster pace.

How to Make Passive Income with ChatGPT AI

In this video I’m going to show you how to make passive income with ChatGPT.

INTERESTED IN AI? – Check out our list of the best AI newsletters here

And I don’t mean in theory, I will actually show you what I started a week ago that’s getting close to $100 per day in revenue right now.

I was actually fairly surprised at the potential of this, I think that I could scale this up to $10,000 per month within 6 months.

I will show you exactly what YOU could do to get that figure and how I would approach thinking about it.

And also why some of you watching this, should DEFINITELY not attempt this.

Ok, let’s start.

When I first heard the idea, I didn’t immediately see the potential, it didn’t click right away.

But I actually spoke with two people that are making serious money with this as we speak.

So let me start with you what this idea is, then we dive into specifics on how to approach this.

There are tons of places online that sell courses and online classes.

Udemy, Skillshare, Coursera, there are many.

These aren’t tiny operations.

Udemy is on the stock exchange and doing really well.

It did $518 million 2021 and probably somewhere around $640 million for 2022.

It is growing insanely fast, driven by the fact that many more companies are going online. 

They are paying to have their employees trained up to do well in this new digital world.

Tons of people use Udemy to learn skills for work and personal life. 

It looks great on a resume. It’s cheaper than college.

So, this online learning thing is a rapidly growing movement right now and will probably stay this way for a decade or more.

And anyone can make courses on Udemy, they have a whole community of instructions that share their tips and milestones.

Some people share making their first $1000, some celebrate making their first $1,000,000.

Someone named Rob Persival just celebrated pulling in 2.8 million dollars teaching web design.

So the money potential here is big.

But how do we know what courses are the money makers and which ones are not worth pursuing?

Well, Udemy actually tells you.

Let’s say you want to teach Facebook Ads

The demand is high and top courses pull in $4,831 per month

Affiliate Marketing demand is high and top monthly revenue is $2,768

Fitness, the top monthly revenue is $1,859

Stress Management  the top monthly revenue is $809

But those are small in comparison to business skills that every employee needs.

For example

Photoshop $10 thousand

Excel almost $50 thousand monthly income.

And this is reported directly through Udemy.

I’ll give you one pro tip, because this information is not available publicly.

If you sign up for being a udemy instructor, they do give you unlimited access to this to see which courses are doing well.

They even suggest some areas where they are lacking good content and where they need good courses.

Now, there are two ways to approach this.

One is to try to target some of these established categories with a lot of sales and a lot of competition.

A lot of people who start trying to make money automatically assume that a lot of competition is bad.

That’s not necessarily the case. A lot of competition means there is money to be made.

But, for the purposes of this video, let’s look at low competition areas.

One of the profound ideas I heard early in my make money online career was the idea of “Velocity to $1”.

The concept is basically that when you have a business idea, you should draw up a plan to see how fast you can earn your first dollar from that idea.

Oftentimes people get great ideas, but get too overwhelmed or too scared to execute and just not take any action on it.

Thinking about how you can get to your first dollar AS FAST AS POSSIBLE, has helped me break through some business ideas that I’ve had, test them quickly and start making money.

So, if I wanted to test this idea, how would I go about it? 

How would I start making money with Udemy in the shortest amount possible.

First I would find up and coming categories where people need help.

Some tools I can use for that are Google Trends, I use this A LOT, this shows you the search history for any topic you can think of.

You can see how it’s increasing or decreasing over the years, starting in 2004 when they started keeping track of this.

There are online newsletters that do a good job of tracking new topics and business ideas that are trending.

For example The Hustle is good for business ideas.

Exploding Topics specifically focuses on trending searches,

I just checked a recent email from them and they pointed out that FastAPI is trending.

That sounds like something that might work for a Udemy course.

But I actually have a better idea for a course…

See I happen to know that there is a new trending idea and it’s HUGE.

It’s called ChatGPT.

And it’s trending big.

People are interested in how to use ChatGPT.

How to use AI in general.

How to generate content, automate your online business.

All these are exploding topics and the competition is very small.

Here is a course launched within the last month or so.

It has 2,205 students at $10 each.

That’s  $22,000 dollars. In one month.

Can I ask you a serious question?

Can you survive and feed yourself and your family on $22,000?

By the way, I think that it could be a lot higher than that.

Udemy is known for showing different prices to different people, so this might show as $85 to people who are logged in.

So some percent of those courses were sold at $85 a pop.

So let’s see how much that would be if let’s say a third of his students paid full price.

Let’s ask ChatGPT

If an online course has 2,200 students and one third paid $85 and the rest paid $10. How much money did the course make?

So 733 students paid full price. The rest paid $10.

So the total is $76,875

By the way, I just want to jump in here and say that I actually created a course on Udemy for ChatGPT.

It took maybe 5 to 7 hours of total work.

And I spread that over 3 days I think, so this is something you can easily knock out in a weekend.

Within a week of launching I had my first $100 day of sales.

I will post a follow up very soon, so you can actually see the stats and I will also explain what I did.

But  here was my BIG takeaway:

Udemy will promote your course. 

A lot.

Most of my sales came from Udemy’s customers.

So just by having a course up there, you will generate sales.

I was kind of surprised by that, usually just listing something on a marketplace doesn’t mean that you will immediately get sales, but here that actually works 

And I think that is due to the fact that Udemy is such a large and well liked platform that people just search for stuff and buy.

Also they probably get emails from Udemy that pushes them to new and exciting courses.

I’ll post a screenshot of yesterday’s sales, and notice that ONE customer came from me. Probably someone saw a course linked in the description.

And then FIVE came from Udemy promoting the course on my behalf.

So, that’s Passive Income…

I took a weekend to create a course and now that course is making me money every day.

Let’s get back to the video, I will do a follow up, but…

Yeah… I can see how people are making a full time living by creating Udemy courses, I think that’s realistic if you go all in and create real value for people.

SO, how do you create the courses?

How do you use ChatGPT to help you here?

Well, let me go on a bit of a rant.

I think most people right now are thinking of these AI tools as just replacing their own work.

Like I ask ChatGPT to make me a course, it spits out a course and then I just upload it online and I’m done!

For the past few years, even before ChatGPT, people were using software like JArvis AI to create AI written articles and then post them on websites to try to rank on Google and make money.

That might work in the short term, but don’t just rely on whatever the AI spits out, I don’t think that’s how you get the best work out of it.

For everything that I’m talking about here and for AI use in general, think of the AI as an assistant that empowers you to do more.

For example, you can ask it for an outline for a course and it will give you let’s say 10 course lessons.

Take those ideas, add your own, then ask the AI for a list of bullet points that you need to cover in each course lesson etc.

In other words, just use it as a research assistant, use it to add content when you get stuck.

When you find long articles on the subject, paste them into ChatGPT and ask for a summary etc.

So basically use the AI to gather, sort and filter data.

Use it to organize your thoughts and help you output all the ideas faster.

Use it as an extension of your brain, don’t use it as a replacement for your brain.

Once you create all the courses and outlines, you have to create the videos.

I’m not going to go over that here.

Udemy actually will walk you through the process, they have a really good tutorial on video creation for instructors and you can actually send in a sample of your video and they will walk you through how to improve audio and video.

I use AI tools, like Descript to edit my videos, it takes something that took me hours and it does it in seconds.

By the way if you want training on how to use these AI tools, checkout my free newsletter in the description.

But, once you are done with your course outline and your first few videos, you upload everything to Udemy.

That might take a while, just because you have to upload video files.

But let’s say 1 to 2 hours for that if you have a fast connection.

Keep in mind that you can start with the few “core” classes and then add on more over time.

You don’t have to start with the entire course on day 1.

So I think realistically you can do this in under 24 hours.

Keep in mind we can improve this course over time, so the goal is just to get to that first sale and start the money train going.

Udemy does a great job of walking you through everything, if you just follow their step by step plan, you should not have any problems.

Then you set your course live, they have to approve it, but that probably will take one business day.

After setting my course live, I got my first sale within 2 days and then I got close to $100 in sales per day in under 2 weeks.

I did not do a lot of promotions for this, maybe I got 2 or 3 sales from this channel, but most of the sales are from Udemy.

So, in the beginning I said:

I think that I could scale this up to $10,000 per month within 6 months.

I’ve been doing online marketing for over 10 years. I think someone brand new to this can get to $10,000 per month in 6 to 12 months.

I think the way Udemy works is that IF you can create good courses, they will do a lot of the marketing for you.

That’s the big advantage of launching there.

They take a commission for promoting your course and also you don’t get your students emails, so you can’t email them directly.

So a lot of marketers choose to not use Udemy, because they don’t want to pay commissions and also they want to be able to promote more stuff to their students.

But if you just want to create courses and make money, I gotta say, Udemy seems like a really good platform for that.

Here is how I think about businesses online and what amounts of money can be made.

The reality is that most people don’t make any significant amounts of money online.

GASP, right?

Why would he say that?

Now, I’ve met with many, many people who run online businesses of various kinds, some of who have build up great wealth.

They are not necessarily very smart, nor do they necessarily have some special skills that the rest of us don’t have.

A big difference between the people who quote unquote “made it” is mindset.

I know that sounds corny. So here’s exactly what I mean and it’s going to get a bit graphic.

Let’s say you set a goal that in 8 months you will sell $10,000 of online courses on Udemy. 

You’d think about it, maybe test the waters out, see if you can do it.

But maybe the chance of you being able to accomplish that maybe would be 1%

Just like all the people who set their goal to lose weight in January, the actual number of people that achieve it is pretty low.

Now, imagine if I kidnap your family, everything and everyone you love.

And I promise that I will do the worst things imaginable to them.


Really let your mind go there, to that dark place.

We often try not to think about certain stuff, but just feel that emotion, for just one second.

And I told you that the only way you will see them again and keep them safe is if you get to $10,000 in online sales on Udemy in 8 months.

So the goal is the same, the person is the same.

What changed?

Well, your “mindset”.

Which is a very weak word to describe what just happened.

Because when everything you love is at stake and there is nothing to lose and a very clear objective in mind, then we are able to put our true 100% percent effort into the task.

We don’t spend time worrying about what if it doesn’t work or what if people make fun of me and leave nasty comments, wah.

We become obsessed and focused and energetic.

We live and breathe our goal.

And then we can estimate what our true chances of reaching our goal becomes.

So if you had that mindset and the goal was to reach $10k in sales on Udemy in 8 months, I think you would hit that goal 100% of the time.

I’m not talking $10k in profit,by the way, I just mean $10k in sales.

That will be fairly easy as long the course is good, Udemy will do a lot of the heavy lifting for you.

You would need to sell over $41 per day, I’m already above that in less than 2 weeks.

So my point is that, the POTENTIAL for people to do it is near 100%.

How many people would actually hit that goal with the normal day to day motivations levels?

Maybe 5% I would guess. Maybe 10%.

So I would say this is a GOOD opportunity.

It’s very solid. And the whole online course space is growing, Udemy is dominating a certain section of it.

If you just commit to doing Udemy courses and pour your heart and soul into it, you will do well.

Just provide value to your students and you will do very well.

With that said, there is this thing that Warren Buffett says that I think applies very well here.


He says that a lot of people would do a lot better financially in life if they got a little punch card with 20 spots on it at the beginning of their life.

And each time they took a shot at a business or an investment or any money making venture, they got one of spots punched.

And they only got 20 of them for their whole life.

Once they are out, that’s it, they can’t invest anymore and they can’t try new business ideas anymore.

That would force people to choose very carefully which ventures they would pursue.

And when they chose to pursue them, they would hit it very very hard.

He compares it to baseball, where you have 3 chances to hit the ball or you’re out.

People try to hit the ball even when it’s not perfect.

He suggests letting all those pitches just come at you and go past you.

You don’t have to swing at every one.

But when you see that really good one coming at you, then you go all in and swing as hard as you can.

Pretend your family is kidnapped and work like you’re possessed.

There will be a few people watching for whom this is the perfect opportunity.

They likely will be able to generate thousands of dollars monthly within a few months, while providing great value to their students and to Udemy as a platform.

For those people, you SHOULD go for it.

Keep in mind that the biggest obstacles will be in  your mind.

For the rest of us, for whom maybe this isn’t the perfect business to get into, then don’t swing at it.

The AI is out of the bag and there will be more opportunities down the road, just keep your eyes open and be ready to go all in.

Whatever you do, just “no half measures”.

For me, I’m not going to pursue this one further, even though it’s tempting because the money is coming in.

I’m going to let the sales come in for as long as the course is making money, but I won’t invest more of my time into it right now.

I’ll post an update once that is done with all the sales and money that I’ve made.

Keep in mind, I did everything over a weekend, so if this ends up making thousands of dollars on autopilot, that would be a really good hourly wage for my work.

I started a newsletter that will provide free training as well as other business opportunities.

It’s going to cover AI applications as well as business and making money online.

I think this new AI era will make a lot of people, a lot of money and I plan to be one of them.

I will document my process and share my results, so stay tuned.

Sign up for my newsletter in the description.

My name is Wes Roth, thank you for watching.

Small Business Grants for ChatGPT and A.I.

If you were looking for the next great business idea to go all in on, this is it.

INTERESTED IN AI? – Check out our list of the best AI newsletters here

In this video I will show you the massive opportunity that is just beginning to open.

I’ll also show you how to easily get funding and small business grants to start these businesses regardless of who you are, your tech skills or your background.

But first, let’s talk about what just happened, that got everyone in a tizzy.

So, we’ve been hearing about A.I. for decades now, it’s always been just around the corner.

But in the last 2 years or so, it went from someday/maybe to here, right now, deal with it.

A.I. art is getting first place at art competitions.

Professors can’t distinguish AI written essays from human written ones.

Scientists are tricked by AI written scientific abstracts.

We are hitting an inflection point where AI progress went from slow, boring, steady to rapidly picking up speed.

And no one is ready.

It’s going to be chaos. And you know what chaos is…

“Chaos is a ladder”

ChatGPT, was released to the public in late 2022 and it became one of the fastest growing apps in history.

There are many reasons why it’s revolutionary, but one of the main ones is that it allows anyone, regardless of tech skills, to use the full power of AI

You just type in words and it spits out results.

OpenAI, the creators of ChatGPT, wants people to build companies on top of their technology.

Similar to how the internet allowed anyone to build companies and social networks and search engines on top of it, OpenAI wants people to build applications on top of their AI base layer.

The AI tech is accessible to anyone and right now there is a landrush so to speak to try to build tools and companies on top of this new technology.

Some of these will be highly advanced and complicated projects and some will be easy enough for a 12 year old to run.

If you’re not a techie, don’t dismiss this.

The funding that will flow into this sector will be eye-watering.

What I mean is that you will cry if you let this opportunity pass by.

Already the tech companies are very worried about this new technology.

Google declared “code red” soon after ChatGPT was released because it’s an existential threat to Google, potentially.

So Tech Companies will be using their massive amounts of money to buy up and fund ideas that are build on top of this new technology, because they know that the ones that miss out may not survive 

and the ones that get their hands on the best tech wil cement their status as Gods of tech.

The US government already has a lot of business grants in the tech and science space and likely will pour in a lot more into the AI space in particular.

The US and China had an arms race to see who can develop stronger AI applications faster and so it’s in the best interests of the US to fund  any forward progress in this field.

We saw what happened when computers and internet connections were being rolled out, how many people made life changing amounts of money.

Many of the richest people alive today came from Tech and Telecommunications.

The difference back then was that many, in fact I think most of them, had tech backgrounds.

Computer Science, Engineering, Data Sciences etc.

Most of that money was concentrated in the “Tech Bros” as they are called.

Back then if you were smart and you could code, you stood to make a LOT of money with a simple app or website.

Flappy Bird was making $50,000 per day. 

That was probably the worst game ever made.

Now, the AI is almost like a reset, that sets everyone back to the starting line.

With A.I. tools like ChatGPT, we are seeing that the gap between world class codes and the rest of the regular people, decrease greatly.

And pretty much every single aspect of our economy, of our jobs will be impacted by AI in one way or another, in ways that we can’t even fully comprehend yet.

What I believe will happen is that each tech giant will be using grants and various incentives to pull people to their platforms.

We saw this exact thing happen with video game streamers. 

In case you are not aware of this phenomenon, there are these people who play video games and stream it live to millions of people. 

Those who got in early, have developed massive audiences.

As tech giants like Google, Amazon and Microsoft start their own streaming services, they start handing out tens of millions to get those streamers to move over to their platform.

They all want people creating content on the platform that they own.

Same with AI, they will want people to create AI applications on platforms they own.

Here’s an article on TechCrunch, which talks about small business grants available for AI startups.

___

OpenAI, the San Francisco-based lab behind AI systems like GPT-3 and DALL-E 2, today launched a new program to provide early-stage AI startups with capital and access to OpenAI tech and resources.

Called Converge, it will be financed by the OpenAI Startup Fund.

The 10 or so founders chosen for Converge will receive $1 million each and admission to five weeks of office hours, workshops and events with OpenAI staff, as well as early access to OpenAI models and “programming tailored to AI companies.”

“We’re excited to meet groups across all phases of the seed stage, from pre-idea solo founders to co-founding teams already working on a product,” 

OpenAI writes

“Engineers, designers, researchers, and product builders … from all backgrounds, disciplines, and experience levels are encouraged to apply, and prior experience working with AI systems is not required.”

So this one closed in 2022, but it will be started up again in the future, hopefully it will be an annual thing. 

I’ll post an announcement here when it’s launched.

But there will likely be many more like this, this is just the beginning of this massive wave that will likely last for decades.

Here are some other funds that are available.

Google Brain founder Andrew Ng heads up the AI Fund, a $175 million fund to initiate new AI-centered businesses and companies. 

And Nat Friedman (formerly of GitHub) and Daniel Gross (ex-Apple) fund the AI Grant, which provides up to $250,000 for “AI-native” product startups and $250,000 in cloud credits from Azure.

With Converge, OpenAI is no doubt looking to cash in on the increasingly lucrative industry that is AI. 

AI startup Cohere is said to be negotiating a $200 million round led by Google, while Stability AI, the company supporting the development of generative AI systems, including Stable Diffusion, recently raised $101 million.

So money is pouring into this sector, this is like all the companies and money that were built in the early computer days, in the early silicon valley days.

It’s all happening again, on a bigger scale and we are all going to watch it happen in front of our eyes.

So, how do you get prepared for this and make sure you stand to make some money from this.

Because if 10 years pass and AI is everywhere and you made $0 from this, that’s not good.

Don’t do that.

Here are some things I would start thinking about.

First and foremost, stay in the loop.

Make sure you are getting the latest news on AI.

Mainstream media is useless for this, at least right now, they are just not getting it.

They will probably come around, but they will always be a year or two behind.

I just saw Atlantic Post stories saying that AI is not the new crypto. For the past 10 years, they were bashing crypto. Now it’s seen as. Standard tech, technology and AI is not the new thing coming.

Lex Fridman on YouTube is great, he talks to some very high level AI guys, but it’s a bit dry, if I”m 100% honest.

And a lot of it is more focused on theory and research. But it’s very, very good at explaining that.

I just started a newsletter that covers the latest AI developments as well as specific ways that we can use it to make ourselves more effective, make money, business ideas etc.

Checkout out natural20.com and sign up for the newsletter. There is a link in the description.

It’s free, we don’t sell anything, it’s just a simple summary of what happened in AI that week with some actionable applications of AI.

The second thing you should do is to try to incorporate AI tools into your life so that you start getting used to thinking about how to apply them more and more. 

It used to take me an hour plus to edit the raw video on this channel.

Cutting out the little gaps, the ums, the parts where I mess up etc.

It was very tedious work, it was expensive work if I were to hire someone to do it. 

It was time intensive work and if I did A+ work vs just average work, it would make a difference, it was important to do it well.

So about 1 hour of my intensive focus was about 10 minutes of well edited video that was cut and spliced together well.

I’m sure the pros can do it faster, but I’m not one of them.

One day I asked a video editor I knew to help me edit a video and he turned it around in 5 to 10 minutes.

Which was mind blowing for me.

Turns out, there is an AI video editor.

It’s called descript.

I upload my video to it, I click one button and in about 2 seconds it spits out a perfectly edited video.

It’s fast, it’s really good and it’s free.

It has premium features, but it is cheap / free for most of it.

It takes a video, transcribes it, adds captions if you want, cuts the ums and ahs.

If you see captions below me here that highlights what I’m saying.

Word. By. Word. By word.

That did not involve a human being, it’s all AI.

By the way I just learned that this company Descript is going to be financed by OpenAI.

OpenAI is raising money from Microsoft and then funding AI companies.

There is going to be a lot of money in this space. 

But, try to find areas like that in your life. 

What are you doing right now that an AI can do faster, better?

I no longer read contracts.

Like leases, loan documents, etc.

I plug it into ChatGPT and ask it to pull out the important bullet points.

I ask for a list of any fees that are mentioned.

I even asked if there are any unfair or predatory clauses in there.

I pasted an old lease contract in there and asked for a list of all the fees that I agreed to 

It spit out a list of 15 fees that were outlined in this 5 plus page contract.

Some obvious, like the regular rent, late fees, bounced check fees etc.

But a few, like an inspection fee and a rent renewal notification fee or something like that, those I was not aware of.

So, my point is, start trying to apply it.

Since as this tech develops, AI will eventually touch every part of our lives.

One of the important skills will be just having the vision and creativity to think of ways to apply it.

So think about what burden you can onload on the AI.

It will save you time, money and it will help you develop real world AI application skills.

Consider if you want to learn to use the AI to code. 

I don’t have a coding background, I have not coded before really.

I was able to output real life working applications with ChatGPT.

They were simple, like I was able to create a little clicking browser game, where you click a button and a counter goes up and then you can click other buttons to make stuff happen.

It was very simple, but I just asked ChatGPT to create a browser game and then just explained what I wanted line by line.

It automatically spits out a combination of javascript and html.

It knew when it needed to use one coding language vs another.

I asked how to run this code it came up with?

It told me to copy that code into a text file, save it as .html and then I could just open it in any browser.

I did and it worked.

On the first try

Then I was able to make changes and additions to it, just by telling ChatGPT “add this and that”, it then rewrote the code with the new additions.

So, you still need some tech knowledge to create the more advanced stuff, but if you ever wanted to learn to code and just either didn’t have time or it was too difficult…

Well, right now is a really good time to start because the AI will automate a lot of the tedious, repetitive stuff and you just have to take the code it spits out and weave it together into something useful.

coding by hand I think will be seen as archaic in five to 10 years. 

My best guess is it took something that took 4  years of college to learn to know something that probably takes maybe 6 months to get to that same level.

And that’s on this version of it’s language model, I believe it’s GPT-3.5

The new version, GPT-4, is massively bigger and more complex, so I think its ability to take regular speech and spit out working code will just get better and better.

If you are selecting which career to go into, like if you’re a college student, this might be a really good time to consider how you can align yourself with this new tech.

If you’re switching careers mid life, like if you sold a business and looking for a new challenge, going in this direction can be very lucrative.

We are still very early in this new wave, so it’s hard to know exactly what’s going to happen, but the number one advice that I can give is to run towards this.

Don’t stay still, start looking at ways to position yourself to take advantage of this.

Don’t worry about your tech skills, there will be a lot of opportunities for all levels of tech.

Don’t worry about capital, between the business grants that will be handed out and the various funding opportunities, if you have a solid idea then you will likely be able to get the money to try turning that into reality.

Things are about to start moving, much much faster.

Check out my newsletter in the description.

My name is Wes Roth.

Don’t miss this one. This is the big one.

ChatGPT Business Ideas

In this video, I will tell you the exact playbook to build a million dollar plus business on the back of ChatGPT, the newest breakthrough in AI tech.

INTERESTED IN AI? – Check out our list of the best AI newsletters here

You’re not going to need a lot of capital to start and you don’t need advanced tech skills.

If you’ve been looking for that one BIG IDEA to go all in on… this is it.

Here’s a business that I started in 2016.

I scaled it to about $1.5 million in just over a year and I had about $42,000 in monthly recurring revenue at that time.

I did it from home and I didn’t hire any employees until we were approaching a million in sales.

Here’s all the sales that were coming in daily, keep in mind, this was just me doing all the work at this point.

Now, this is going to be very important in a second to understand WHY there is such a huge and urgent opportunity.

Now,

I’ve been making money online for the 12 years or so

And there is one thing that happens every once in a while, where you are almost guaranteed to make huge money.

And that is jumping on a new, emerging technology and figuring out how it works before other people.

Here is the technology adoption curve, this is how most new tech gets adopted by the people.

It starts with the small minority of people who show interest before the masses show up and then slowly over time it snowballs into mass adoption.

The people in that “early market” stage can make life changing amounts of money.

I got into SEO in 2011, started my first ecommerce business in 2012. 

I started advertising on facebook in 2014, before a lot of the big ad money moved in.

At that time me and the other people I knew in that space, everyone was making tons of money, because we arrived at this new technology before “the herd” showed up.

Same thing happened with people selling on Amazon early.

the same thing happened to people who got into crypto in the early days.

My biggest regrets in the last decade plus have been mostly not jumping on new emerging trends and not hitting it hard enough. 

I saw many people in this space make an ungodly amount of money because they saw an opportunity and doubled down on it.

I did well for myself, but

I think I left millions on the table because I didn’t have enough conviction to pursue my gut instincts and stick with it long enough to make it work.

But, that’s about to change.

We’ve been hearing about AI for a while now, but 2022 was the year where I noticed a very strong inflection point.

AI is producing writing that is excellent, 

I’ve used some of these applications and have been blown away by the accuracy and detail.

Sometimes it goes off in a weird direction, but you kinda have to push it back on track and then it will continue.

AI generated artwork is stunning and winning art competitions.

We’re beginning to see self driving cars

Google had an AI breakthrough in 2022 that may allow it to create self-learning manufacturing robots.

And now we have ChatGPT, the next big leap forward, where anyone can use it, no matter what level of tech skills they have.

Simply type in your questions and the AI will spit back answers.

Already it can create business plans, answer complicated questions, write song lyrics, fix code that you wrote and even write code and applications.

This AI can code. Some Software Engineers are even claiming it will make them obsolete within 10 years.

The potential is insane.

And this tech is improving fast.

Keep in mind, we are probably hitting that inflection point, where we go from little progress to insanely fast progress in the blink of an eye.

Check out “wait but why” a blog that’s sometimes referenced by Elon Musk, 

Check out their article on the AI revolution

But the main point to understand is this.

Computers were dumber than humans for a long time, but that intelligence grew exponentially, so when they catch up to us…

It’s not like they will just stay at our intelligence level for a while.

It will be as smart as we are for a moment in time and then become smarter and smarter at an exponential pace.

So a lot of what I’m talking about here assumes it doesn’t choose to destroy us.

But Whatever.

There are a TON of ways to make money with ChatGPT in the short term, a lot of the text and ideas it can generate can be sold as a service, replacing copywriters, graphic designers (with AI software like Dall-E), creating content, making apps that help people change their photos in fun ways, ChatGPT can create apps and scripts that you can use and sell without hiring software engineers. Etc etc

A lot of that will remove people from the workforce, like medium tier copywriters would probably be completely replaced by AI.

If you are a God-Tier copywriter, then you’re probably safe for a while, but the bottom 90% are gone for sure.

But a lot of those outputs will reduce the price that people are willing to pay for that output.

For example, I used to pay writers $150 to $250 for long form, well researched articles.

Now, I can generate a lot of great written content for free with AI, so I’m not going to pay the same rates anymore.

Again, for the top 1% of writers, that might not be the case.

For example if you have a law degree and experience with trademark law and I need a really high quality article on trademark law, I won’t use AI for that, I will pay you whatever you want.

But the bulk of the work, the cost to produce it drops to $0.

So business ideas where you are selling the direct output of the AI, those are great business in the short term.

People will print money for years for minimal amount of work, BUT

Overtime the market price of those services will drop

Because more people will provide that service, more people will learn to use these AI tools and more people will develop these AI tools etc.

Where I see the potential for big money is a little different.

A few years ago I was chatting to a close family friend. 

He used to work in aerospace and then transitioned to working in AI, really plugged into that whole ecosystem.

I asked him for advice on what are the most exciting tech opportunities he is seeing. Specifically to start a business in.

He told me I should start a business doing automation consulting.

Now at the time I dismissed the idea because I thought I needed to have really advanced tech skills, some tech degree, probably needed to be able to code etc.

Either that or hire high six figure employees that could do that for me.

So, while I thought the opportunity was great, I dismissed the idea because I lacked tech skills and capital.

I was wrong to do that.

The reality of that idea was too early for me to grasp it.

Now, a few years later, you don’t need coding skills to generate AI outputs.

You don’t need capital, because most of these tools are free.

What YOU need to do is take this insanely useful technology, that no one fully grasps yet.

And solve real problems with it.

That’s what great businesses do, they solve real problems.

Your ability to generate money with these tools will be directly proportional to the problems you can solve with this.

Remember the business I scaled from $0 to $1,000,000 that I showed you earlier?

The reason I was able to do that is because companies that are born online today, are very different from how they were 30 years ago.

I didn’t manufacture my own product, I had a contract manufacturer make it and ship it to me.

I did not ship out my own product, I had a fulfillment center that someone else operated to pack and ship my products.

For a fee.

I didn’t answer customer calls and emails when they came in, I had an overseas customer service call center that handled everything for me and sent me reports and call logs every night.

I outsourced bookkeeping and accounting.

I went to freelance sites like upwork.com when I needed help with graphic design or if I need someone to write some script or piece of code.

Most of the business was handled by software.

Shopify for taking orders.

Something like MailChimp or Klaviyo for sending emails to customers.

I’ve used content agencies like WordAgents to get high  quality written content at scale so I didn’t need to hire writers or write it myself.

I just sat here at home, in front of this computer and ran ads because that’s my core skill set, but many business owners I know outsource that to digital marketing agencies who run their Google and Facebook ads for them.

So it’s important to understand that there are entire industries that popped up in the last 10-15 years that made it easier for businesses to just “do their thing” and outsource the rest.

Most of these businesses and services didn’t exist a few decades ago.

Third party fulfillment centers, Upwork, Email Marketing Services, Shopify all of these are relatively new.

What they all do is they do one thing really well and they provide that service for a bunch of other businesses.

And now comes this new thing, these AI tools that can create intelligent, custom automation.

The market for this a few years ago was close to zero.

In a few years, it will be Billions and Billions of dollars.

People are ready to buy these services right now.

If you came to me and said

“Would you pay to have AI create content for your email subscribers and send it to them daily?”

Yes.

“Would you like an AI chatbot to answer any questions your customers have about your products in real time 24/7?”

Yes

“Would you like those chat bots to also try to either get those customers to buy something on the site or at least try to get their email or phone number to follow up with them later?”

Oh my god, Yes

Would you like the AI to help you:

Automate the sales process?

Help train new employees?

Follow up with customers to make sure they got their product and if they have any questions about it?

Following up with customers to get reviews and asking them to recommend you to their friends.

There is no business owner that will say no to that.

The value to them will be immense.

The cost to you is close to zero.

A whole new industry will emerge for people doing this kind of work.

Maybe it will be called “AI automation consultant” or something similar.

This is the important thing to understand.

This is a new thing where you’re providing custom solutions to businesses.

The value comes from training the AI to do the thing that is unique to that business.

We already have mass scale, cookie-cutter solutions.

There are mass solutions for sending bulk email, or automating sending postcards to customers after they buy or texting them their package tracking code.

The software we have now does the “one to many” communication really well.

I can send an email to millions of people, I only write it once and the software copies it a million times.

But that’s not as good as me communicating one on one with a customer. That custom, personal communication is lost with mass email.

Chat AI can bring that back and communicate with each customer one on one, even if millions of them are simultaneously on the site. (that’s actually what ChatGPT website is right now).

And with some work and patience that chat experience can be tailored and optimized for each business.

Which every business will want, and they don’t even know it exists yet.

We haven’t even scratched the fact that this automation will get rid of the workers, saving tons of money, reducing overhead, lowering the chances you will be sued for something, lowering how much you pay to stay compliant with Human Resource laws etc.

So, the bad news is that this tech will displace a lot of jobs.

That’s a real threat and the founders of Open AI have discussed on various podcast and shows how important it is for us to address this as AI takes over.

The good news is that the people who hop on this train early (like, right now) will potentially create generational wealth as people and businesses start adopting AI at a rapid pace.

After coming up with an outline for this video, I actually decided to ask ChatGPT

how to make money with chat gpt?

Here is what it told me

It is possible to make money with ChatGPT (or any other language model) by using it to create and sell valuable content or services. Here are a few ideas:

Create and sell chatbot services: You can use ChatGPT (or another language model) to build chatbots that can carry out automated conversations with users. These chatbots could be used for customer service, lead generation, or other business purposes.

Generate unique content for websites or social media: You could use ChatGPT to generate unique articles, blog posts, or social media updates for businesses or individuals.

Offer language translation services: You could use ChatGPT (or another language model) to translate text from one language to another.

Create and sell educational or entertaining products: You could use ChatGPT to create educational or entertaining products such as online courses, ebooks, or games.

Keep in mind that ChatGPT is a tool, and it will be up to you to come up with creative ways to use it to create value for others.

If you see the potential here, hit subscribe.

I will be covering this more, including showing you how I’m planning to make money with this new technology.

We are still VERY early on, but the rate of change will increase, so you want to hop on the train so to speak, because it’s getting faster and faster.

My name is Wes Roth, thank you for watching.