The Other Side of AI No One is Talking About

Summary

This Cold Fusion episode explores the positive applications of AI beyond consumer generative AI, focusing on AI's role in improving lives and society. It discusses AI's impact on chip design, environmental conservation, healthcare, and battery technology. The episode features AI's potential in regenerating kelp forests in Australia, aiding patients with prosthetics, and revolutionizing drug discovery. It also touches on AI's future in healthcare, emphasizing its potential to augment diagnostics and treatment, despite current limitations.

Takeaways

• 🤖 The video discusses the dichotomy between consumer generative AI and neural networks used in novel ways, emphasizing that AI and neural networks are often used interchangeably.
• 📊 A 2024 yugov poll reveals mixed public emotions towards AI, with 14% believing AI is already more intelligent than humans, and younger people tending to view AI more positively.
• 🏭 AI is being used to improve the efficiency of chip manufacturing, with Nvidia's Q litho platform accelerating the process of creating photo masks from weeks to overnight.
• 🌿 AI is aiding in environmental conservation, particularly in Tasmania, where it's used to restore kelp forests that have declined by 95%, through pattern recognition and genetic analysis.
• 🦾 AI-powered prosthetics are transforming lives by providing more intuitive and precise control, with neural networks interpreting nerve signals to allow for natural movement.
• 🏥 In healthcare, AI is augmenting diagnostics, treatment, and management, with tools like Google's Med LM streamlining tasks and Nvidia's AI tools enhancing surgeries and medical imaging.
• 💊 AI is revolutionizing drug discovery by speeding up research and reducing costs, with companies like Recursion Pharmaceuticals and Benevolent AI leveraging AI to find new medicines faster.
• 🔋 AI has been instrumental in battery research, with a study identifying promising materials for next-generation batteries that require significantly less lithium.
• 👨‍⚕️ The video emphasizes that AI is not about replacing doctors but assisting in tasks, with healthcare professionals needing to understand and adapt to the changes AI brings.
• 💼 The video concludes by promoting 80,000 Hours, a nonprofit that helps individuals find fulfilling careers that can have a high impact on solving global issues.

Q & A

What is the main distinction made between different types of AI in the video?

The video distinguishes between consumer generative AI, which is often in the news and sometimes criticized for being 'trashy', and regular neural networks that are quietly used in novel ways in the background. The terms 'artificial intelligence' and 'neural nets' are used interchangeably in the context of modern AI.

What are the four most common emotions towards AI according to a 2024 yugov poll mentioned in the video?

The four most common emotions towards AI according to the 2024 yugov poll are caution, concern, skepticism, and curiosity.

What percentage of people in the poll think AI is already more intelligent than people?

According to the poll, 14% of people think AI is already more intelligent than people.

How is AI being used to improve chip manufacturing as discussed in the video?

AI is being used to improve chip manufacturing by accelerating the computational lithography process. Nvidia developed an algorithm that can parallelize the task among many GPUs, reducing the time needed for computing a photo mask from several weeks to overnight.

What is the name of Nvidia's new platform that uses AI to speed up lithography?

The name of Nvidia's new platform that uses AI to speed up lithography is called 'Nvidia cuLitho'.

How has AI contributed to the restoration of giant kelp forests in Tasmania as mentioned in the video?

AI has contributed to the restoration of giant kelp forests in Tasmania by using Google Earth's engine and a cloud platform called Vertex AI to accelerate the discovery of remaining kelp forests. This helps researchers map and analyze the kelp forests at superhuman speeds, which is crucial for understanding the scale of the problem and planning restoration efforts.

What is the significance of using AI to analyze the genetic patterns of surviving kelp in Tasmania?

The significance of using AI to analyze the genetic patterns of surviving kelp is to uncover the genetic traits that enable the kelp to survive higher temperature ranges. Once these traits are identified, a new breed of heat-resistant kelp can be bred and used to replenish the dying population.

How do AI-powered prosthetics work as described in the video?

AI-powered prosthetics work by using neural networks and machine learning to interpret electric nerve signals from the patient's muscles, allowing for more precise and intuitive control. They can use sensors within the limb to gather information and move the limb accordingly, adapting to the user's needs over time.

What is the potential impact of AI on the healthcare sector as discussed in the video?

The potential impact of AI on the healthcare sector includes augmenting the way diagnoses are made, treatments are administered, and health is managed on a global scale. AI can help with tasks like writing patient notes, finding disease markers, and even in drug discovery by analyzing genetic patterns and predicting outcomes.

How is AI being used to develop better batteries as mentioned in the video?

AI is being used to develop better batteries by sifting through millions of possible materials to pinpoint promising candidates for next-generation batteries. In one study, AI helped identify 23 materials that could replace lithium, which is expensive and harmful to the environment. This process was accelerated significantly by using AI.

What is the role of 80,000 Hours as mentioned at the end of the video?

80,000 Hours is a nonprofit organization that provides research and resources to help individuals find fulfilling careers that can have a high impact on solving the world's most pressing problems. They offer a job board with active job openings and a free in-depth career guide to assist people in planning their careers.

Outlines

00:00

🤖 AI's Dichotomy and Public Perception

The video script begins by distinguishing between consumer generative AI and regular neural networks, highlighting their diverse applications. It emphasizes the public's mixed feelings towards AI, as revealed by a 2024 yugov poll, which shows caution, concern, skepticism, and curiosity as the most common emotions. Notably, 14% of the public believes AI is already more intelligent than humans. The script also touches on the negative aspects of AI, such as corporate deception and job displacement, but it sets the stage for exploring the positive applications of AI in various fields.

05:03

🌱 AI in Environmental Conservation: Restoring Kelp Forests

The script discusses an AI-driven initiative to restore Australia's giant kelp population, which has declined by 95% due to rising water temperatures. A collaboration involving Google, CSIRO, IMAS, TNC, and others uses AI to map and analyze kelp forests from satellite imagery, identifying surviving kelp for breeding heat-resistant varieties. This project not only showcases AI's potential in environmental conservation but also its ability to address ecological challenges at a large scale.

10:04

🔬 AI's Role in Advancing Healthcare and Prosthetics

The script explores AI's impact on healthcare, particularly in the development of AI-powered prosthetics. It features stories of individuals who have regained mobility through advanced bionic limbs controlled by AI, which interprets nerve signals for intuitive movement. Companies like Autobook, Rewalk, and Ossur are mentioned for their contributions to smarter prosthetics. The script also touches on AI's broader applications in healthcare, such as Google's Med LM for streamlining medical tasks and AI's potential in drug discovery, as demonstrated by companies like Recursion Pharmaceuticals and Atomwise.

15:07

💊 AI in Medicine and Drug Discovery

This section delves deeper into AI's role in the medical field, focusing on its potential to revolutionize the practice of medicine. It discusses AI's ability to assist with patient note documentation, disease marker identification, and medical imaging. The script also highlights AI's significant impact on drug discovery, with examples of how AI has accelerated the process of finding new medicines and reduced the time and cost associated with it. The potential of AI in creating better batteries by identifying alternative materials to lithium is also briefly mentioned.

20:08

⚡ AI's Contribution to Battery Technology and Future Careers

The final paragraph discusses AI's contribution to battery technology, specifically its role in identifying new materials for next-generation batteries through a collaboration between Microsoft and the Pacific Northwest National Laboratory. The script concludes by encouraging viewers to consider careers that leverage AI for positive societal impact, promoting the non-profit 80,000 Hours, which provides resources for finding fulfilling careers that can help solve global challenges.

Keywords

💡Artificial Intelligence (AI)

Artificial Intelligence refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. In the video, AI is discussed in the context of both consumer generative AI and its more profound applications in various fields. The video emphasizes the dichotomy between the common perception of AI and its actual potential for good, such as in medical advancements and environmental conservation.

💡Neural Networks

Neural networks are a set of algorithms, modeled loosely after the human brain, that are designed to recognize patterns. They are a fundamental aspect of AI and are used in the video to explain how AI can be utilized in innovative ways, such as in the development of better chips and in the restoration of kelp forests.

💡Generative AI

Generative AI refers to AI systems that can create new content, such as images, music, or text. The video distinguishes between generative AI, which is often criticized for overpromising and underdelivering, and other forms of AI that are quietly making significant contributions in various sectors.

💡Lithography

Lithography is a process used in chip manufacturing where circuit designs are etched into semiconductor wafers. The video discusses how Nvidia's AI algorithms have accelerated this process, reducing the time needed from weeks to overnight, showcasing the practical application of AI in technology advancement.

💡AI in Medicine

The video explores the use of AI in medicine, highlighting its potential to revolutionize healthcare by aiding in diagnostics, treatment, and management of health conditions. AI's role in medical equipment, medical assistance, and drug discovery is emphasized, suggesting a future where AI could significantly improve patient outcomes and efficiency in healthcare.

💡Prosthetics

Prosthetics in the video are discussed in the context of AI-powered devices that can restore mobility to individuals who have lost limbs. AI is used to interpret nerve signals and control the movement of prosthetic limbs, providing a more intuitive and responsive experience for users.

💡Drug Discovery

Drug discovery is the process of identifying new pharmaceutical agents for therapeutic use. The video mentions how AI can expedite this process by analyzing vast amounts of data to identify potential drug candidates, reducing the time and cost associated with traditional drug discovery methods.

💡AI Ethics

AI ethics is the consideration of the moral implications of AI and its applications. While not explicitly named in the video, the discussion around the use of AI in various fields touches on ethical considerations, such as the responsible use of AI to benefit society and the environment, rather than merely for profit or efficiency.

💡AI in Environmental Conservation

The video highlights a project in Tasmania, Australia, where AI is being used to help restore kelp populations that have declined by 95%. This example illustrates the application of AI in environmental conservation, demonstrating how technology can be harnessed to address ecological challenges.

💡AI and Job Displacement

The video briefly touches on the concern that AI might replace human workers, as exemplified by a graphic designer whose job was made redundant due to AI. This keyword is significant as it raises the question of how AI's efficiency might impact employment and the need for a societal conversation about the future of work.

💡80,000 Hours

80,000 Hours is a nonprofit organization mentioned in the video that helps individuals find fulfilling careers that can have a significant positive impact on the world. The reference to 80,000 Hours ties into the video's overall theme of using AI and technology for good, suggesting that individuals can contribute to solving global problems through their career choices.

Highlights

AI is often misunderstood and conflated with consumer generative AI, but it encompasses a broader range of applications.

Public opinion on AI is divided, with emotions ranging from caution to curiosity, and a significant number believe AI is already more intelligent than humans.

Younger generations tend to view AI more positively, including its impact on society and the economy.

AI's potential for good is often overshadowed by negative press, but there are many positive applications being explored.

AI is being used in novel ways in fields like disability support, medicine, and chip design.

Nvidia's GPUs, which are crucial for AI, are now being improved by AI itself, creating a cycle of enhancement.

Nvidia's Q litho platform uses AI to accelerate computational lithography, drastically reducing the time needed for chip design.

AI is helping to regenerate kelp plants in Australia, which have declined by 95%, through a collaborative project involving Google and other organizations.

Google's AI is used to map and analyze kelp forests from satellite imagery, aiding in the restoration of these vital ecosystems.

AI-powered prosthetics are providing mobility to those who have lost limbs, with neural networks interpreting nerve signals for precise control.

Healthcare is being revolutionized by AI, with applications in diagnostics, treatment, and medical equipment.

AI is streamlining drug discovery, reducing time and costs, and increasing the success rate of finding effective medicines.

AI has the potential to improve battery technology, with studies showing it can identify promising materials for next-generation batteries.

Despite the hype, AI is making significant strides in solving real-world problems and has the potential to greatly benefit humanity.

80,000 Hours is a nonprofit that helps individuals find fulfilling careers that can have a high impact on solving global issues.

Transcripts

this video is brought to you by 880,000

hours hi welcome to another episode of

Cold

Fusion before I even utter a syllable I

think we should make something clear

when we say AI our minds go straight to

the often trashy consumer generative AI

that's been all over the news but

there's a distinction between that and

regular neural networks that are quietly

being used in novel ways in the

background I've called artificial

intelligence and dichotomy multiple

times for this reason

and just a last bit of housekeeping

we're not going to split hairs on

semantics here because basically

artificial intelligence in the modern

Zid K is synonymous with neural Nets so

the terms will be used interchangeably

just for

Simplicity okay so there's no question

that AI certainly has split opinions

among the public we can take America as

an example to quantify this a 2024 yugov

poll breaks it down the four most common

emotions towards AI are caution concern

skepticism and curiosity interestingly

14% think it's already more intelligent

than people and another note the younger

people are the more positive they're

likely to view AI this includes views on

ai's effects on society their own life

or the economy whatever the figures are

globally one quick look online will show

you a fact a lot of people love to hate

AI online all you hear about is scummy

companies that lie that overpromise its

capabilities and underd deliver and then

there's the other end you also hear

about sneaky companies replacing workers

with AI for example this unfortunate guy

I just lost my job and I lost it to AI I

I've been a graphic designer for the

past eight years of my life on Monday

this week I got told that I'm being made

redundant turns out basically all of the

material that I've provided over the

past 6 years is now being fed to Ai and

templated a design that would take me 30

minutes now takes AI 30 seconds in fact

a little while back I made an episode

looking at the corporate deception when

it comes to AI but that's all the

surface stuff that everyone keeps

talking about what about something new

what if we dug deeper and took a

comprehensive look at the flip side that

is how can AI be used for good what I

mean is this are there any world

benefiting positive applications of AI

that can't be achieved with any other

technology so in this episode we'll

explore how AI can and is making a

difference in many fields like

disability support medicine designing

better chips and other important sectors

keep in mind that some of these projects

featured are still in their early stages

so a lot could change in the future but

conceptually I found these very

interesting we also feature a special

segment from Tasmania Australia I

traveled there to see how AI is being

used to help replenish a species that

has declined by

95% so in this episode let's dive into

the real world impacts of AI

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you are watching cold fusion

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TV it's no secret by now that AI is

predominantly powered by Nvidia gpus

especially in the training process so

much so that it's seen nvidia's value as

a company quite literally Skyrocket

along with the AI hype these gpus rely

on powerful silicon to deliver their

capabilities but there's a Twist now ai

is improving the very same chips that

they run on it's an interesting Clos

Loop cycle let's see how it works in

chip manufacturing there's a key step

known as lithography this is where

detailed circuit designs are edged into

semiconductor Wafers it's achieved with

something called a photo mask Nvidia

designed a new GPU based algorithm along

with a new library which accelerate

computational liography by 4 times

basically they've developed an algorithm

which paraly their task among many gpus

this reduces amount of time needed for

computing a photo mask from several

weeks to an overnight job the main

problem was that creating photo masks

used to be a slow arduous task that

could take weeks but now Nvidia has a

new platform that consists of generative

AI algorithms that can speed up the

process what used to take weeks is now

40 times faster and can be done

overnight there are 89 reticles for the

Nvidia

h100 running on CPUs a single reticle

currently takes 2 weeks to

process kitho running on gpus can

process a reticle in a single 8-hour

shift nvidia's new platform is called Q

litho and it chews through nanoscale

computational lithography problems at

incredible pace and at incredibly small

scales we're talking 2 nanom in size

that's like comparing the width of a

human hair to the size of a football

field this AI driven approach isn't all

just about speed it's about making what

seemed physically impossible

possible tsmc the world's largest

independent semiconductor Foundry is

already using this accelerated process

other big names in the industry like

asml have joined the effort together

these companies are setting the

foundation for the next generation of

semi conductors aiming for 2 nanom

technology and Beyond so then if Nvidia

has been using AI to create their own

chips you'd expect to see a huge bump in

performance right well where is it well

take a look at this chart comparing

nvidia's GPU performance to Mo's law

it's hard to know exactly how much the

AI system is helping but AI is making a

difference here so what's the takeaway

well what's fast today is about to get a

whole lot faster AI could take the

computing power of tomorrow to levels

we've only dreamed of and as a side I'm

sure most of you know about dlss it's

nvidia's AI upscaler that manages to

provide higher quality visuals without

demanding excessive computational power

better chip design is something that one

might probably expect in terms of

contributions of AI but using AI to help

regenerate kelp plants in remote parts

of Australia well that's new even for

me I was invited to travel to Tasmania

Australia to check out how AI was being

used to help restore Australia's giant

kelp population thanks to a project by

Google the Commonwealth scientific and

Industrial research organization or CSO

The Institute for marine and Antarctic

studies or imass The Nature Conservancy

or TNC the Great Southern Reef

foundation and the kelp Alliance that's

a lot of collaboration so something must

be going on here and before we dive into

it we got to understand what's at stake

here so Australia has a massive kelp

forest stretching from Midway down the

West Coast all the way to the island

nation's East Coast in fact 70% of

Australians live within 50 km or 31 Mi

of a kelp forest due to Rising water

temperatures a large population of kelp

has died off over time in Tasmania this

number is at a staggering

95% that's right only 5% of the original

population

remains so who cares about some undersea

plans

well kelp is actually important in

sustaining thousands of types of sea

life for example some animals feed off

kelp others make kelp their homes and

other animals feed off those animals and

so on it's a massive community and

ecosystem with thousands of types of sea

life depending on kelp it's not hard to

imagine the runaway domino effect if the

kelp forest goes permanently

extinct to get started on fixing a

disaster in the making mapping out the

scale of the problem was essential now

doing this by hand is virtually

impossible possible so how does Google's

AI help well Google is using their own

engine from Google Earth and a cloud

platform called vertex AI to accelerate

the discovery of the remaining kelp

forest at superhuman speeds Google is

partnering with the ngis to quote locate

and analyze kelp forest in more than

7,000 square km of satellite imagery for

the first time this helps researchers

paint a more complete picture of these

ecosystems we sat down in person with

Leia Kaplan sustainability business

leader at in Tasmania to share more the

giant kelp is interesting because it the

canopy floats on the surface which means

that we can actually detect it with

satellite imagery um the reason that is

important is because understanding the

entire um geographical span of the giant

kelp in Australia actually hasn't been

done before um and so to generate a map

of where the kelp is remaining so that

we can understand how restoration

efforts are progressing that's really

really important and it's something we

can do at scale with satellite imagery

which is just way more affordable than

the old way of doing it which was

basically to fly a plane and take

photographs so um satellite imagery can

be automated the processing and the AI

detection of CP can be automated um and

so we can actually um have ongoing

remant Maps once the mapping is carried

out Google the csiro and imass can use

AI to do what it does best pattern

recognition and prediction using the 5 %

kelp that has survived the higher

temperature range AI analysis can

uncover the genetic patterns that enable

this kind of kelp to survive once that's

figured out this special kind of kelp

can be bred and then used to replenish

the dying population with a new breed of

heat resistant kelp we had a tour of the

CSO and imass labs to see parts of this

in action to get more insight into the

genetic profiling I had a chat to Andrew

Carroll product manager at Google

research to give some further details so

one component of of any sort of study is

to understand what amount of genetic

diversity is present in the species just

to understand where the starting point

is the second set is to understand what

are the traits that give resilience to

various challenges and that the key

challenge here is is thermal tolerance

it's the ability for Kel to withstand an

increase in in ocean temperatures This

research project wouldn't just make a

difference in Australia but could have a

positive impact globally Google states

that they're making the geospatial map

accessible to all scientists and the AI

tools used are open

source perhaps one of the most

incredible ways that AI could make a

difference is potentially giving

Mobility back to those who have lost it

introducing AI powered Prosthetics yeah

so it's a full it's a full robotic arm

like there's a AI chip in here and then

this like attaches to like the remainder

of my arm there's uh sensors and stuff

in here that reads the signals and

nerves in my arm that the surgeons REM

so like me thinking about opening

closing like I'm using the same nerves

and stuff he evidently looks quite happy

and you can feel his Joy let me tell you

another story this is Sarah deard 2

years ago she lost her arm in a subway

accident at age 45 she's gotten a new AI

assisted bionic arm it trains itself and

gets better the more she uses it but the

thing is it's heavy and has to be

charged every day but still the

important thing is that it's given her

the ability to do everyday tasks that

were once impossible simple things like

making a coffee straightening her hair

and hugging her daughter the New York

Times did a piece on her earlier this

year and they put it all perfectly quote

AI is seeping into further Fields like

healthcare while many researchers have

raised alarms about ai's risks other

experts said that those concerns must be

weighed against the Technology's

potential to improve lives end quote and

that is the central theme of this

episode AI can do good so with all seen

Prosthetics before but how do these AI

powered ones work neural Nets and

machine learning are used in these

Prosthetics to interpret electric nerve

signals from the patient muscles it

allows for more precise and intuitive

control AI basically gives the

prosthetic a brain imagine a prosthetic

leg that knows that you're climbing a

stair or a hand that can grab a cup

smoothly without spilling that's neural

networks in action it can use sensors

within the limb to gather information

from the external environment sensors

read the muscle signals then move the

limb and it can be smart and adapt

several companies are using AI to create

smarter prosthetic limbs Autobook offers

a bionic hand which uses AI for improved

functionality and control rewok is known

for their powered walking assistant

system last year they revealed their

plan to use AI for autonomous decision-

making in the new exoskeleton prototype

how long had it been since you took a

step almost 20 years 20 years when you

stand up and you hadn't stood up in

years that was something that um that

was the best part of it other examples

include osor an Icelandic firm that

makes bionic prosthetics for lower limb

utees actively powered technology allows

power KN users to expand their

activities including those that are

still challenging for users of passive

knees an atom limbs which combines

Advanced senses and machine learning for

more accurate and realistic movement in

prosthetic arms we basically cover your

your stump in electrodes and you train

it up with your Phantom limb that we

can't see but you can flex your finger

extend your finger rotate your wrist

rotate it the other way and our machine

learning and AI system takes a huge

amount of training and spits out a

result so that now you whenever you

think can just move so there's nothing

in your head nothing on your head

nothing in your arm it's all this

surface electrode and AI that basically

Powers it according to an estimate

there's over 550 million mpts worldwide

there's 2 million in the US alone and

that number is expected to double by

2050 so just take a second to think

about how many people's lives could be

changed by Ai and Advanced Prosthetics

but there's a catch even though there's

huge potential this technology is not

quite ready for the prime time for

people who need it most one big reason

is as you've probably already guessed

the cost building a robotic system that

can mimic all the movement is quite

challenging to add to this recreating

sensation is probably still decades away

at this point if it's even possible at

all but even with what's available right

now it's no doubt changing lives for

those who have access to it over time as

the technology improves and

Manufacturing becomes cheaper access

will increase and that is a great

thing Prosthetics are just the start but

in the field of healthcare neural

networks are showing potential it's

augmenting the way we diagnose treat and

manage Health on a global scale this

graph extensively lists the areas in

which healthc care is already having an

impact sectors such as medical equipment

prep medical assistance and a variety of

technicians are the ones being most

affected the implications for healthcare

are enormous and most doctors right now

are sleepwalking they do not understand

how artificial intelligence is going to

completely change the practice of

medicine I'm a doctor myself once more

this is not an attack against any one

doctor but I believe the medical

profession has completely sold out and

they totally deserve what is about to

come to them over the next few years and

if any doctor out there thinks they can

Shield themselves from these changes

well good luck to you because you are

absolutely not going to be able to do

that big change ahead better brace

yourself for that this next section is

bypassing that tide conversation of AI

replacing doctors and other healthcare

workers that's not what I'm going to be

talking about this is more about AI

helping with the heavy lifting in many

ways Google's Med LM aims to do just

that Med LM is a set of AI tools created

to do things like quickly write up

patient notes and help find important

markers and diseases the idea is to make

healthc care tasks easier and more

efficient it's not just Google though

Nvidia has rolled out some AI tools to

make surgeries and Medical Imaging

smarter and faster Titans like Johnson

and Johnson and GE Healthcare are on

board with nvidia's AI tools looking to

the field of medicines our Ural from ey

Americas has seen a positive shift in

the biofarma industry they note that AI

has gone from a meaningless buzzword to

a real game changer in just a year and a

half what do they mean by this typically

finding new drugs is a lengthy Journey

filled with research clinical trials and

testing this process can cost

pharmaceutical companies billions of

dollars and all with a high risk of

failure now with the help of AI they can

cut down on time and cost and that's a

big deal we can point to a few biotech

companies that are already using Ai and

deep learning to boost their research

for example recursion Pharmaceuticals is

using nvidia's AI supercomputer bioh 2

to find new medicines faster benevolent

AI checks drugs that are almost ready

for testing they want to treat diseases

that don't have good treatments yet

atomwise on the other hand utilizes its

atom net deep learning neuron Network

for binding Affinity prediction this is

a crucial step in the drug Discovery

process this helps them find effective

drugs quickly and more often neural

networks are speeding things up and

making the whole operation more

efficient and smarter Mr armchair

skeptic out there might shout I call BS

but this is not just theoretical

McKenzie published a research study

where they found that AI does indeed

positively impact productivity and boost

success rates in biofarma research this

is a hidden movement going on under the

noses and away from all the general AI

hype already two 270 Aid driven drug

Discovery companies have been

founded combined with rapid advancements

if corporate greed stays out of it we

could see new medicines with less side

effects for a cheaper price it's a tall

ask but a man can dream others in the

space like delire Diagnostics have

developed a test that uses AI to

identify indicators of lung cancer

similarly researchers at the Children's

National Hospital in Washington have

created an AI tool designed to diagnose

rheumatic heart disease and children

and in the past year there's been plenty

of these Medical Solutions coming online

in a previous episode not long ago we

already saw how cancer detection is

being made easier through the use of AI

all you need is a simple sample of dried

blood detection rates can reach up to

85% and best of all it's quick and cheap

and it's not just one research paper or

one hospital that's used this solution

it's almost prolific so in science

independent verification is always great

so this is really exciting in robotic

surgery AI is helping doctors and

surgeons with Precision we've covered

the robot surgeon Da Vinci all the way

back in 2018 but now it can utilize

machine learning image recognition and

more for advanced image analysis

surgical planning and real-time

adjustments tailored to the patient

unique Anatomy so in all of this it's

important to note that the training data

is critical for healthcare related

Solutions the effectiveness of the data

can be cut down due to variables like

demographics age G gender and

environmental factors so even though I

think these early signs are very

promising we have to be realistic it

will probably take some time before we

see a robust meaningful impact for the

average person but this is still a great

start what if artificial intelligence

could help create better batteries

lithium ion types of batteries are

crucial for everything from mobile

devices to electric vehicles but lithium

is very expensive and WS havoc on its

intermediate

environment replacing lithium is a major

challenge that could take years and it

could involve testing millions of

alternative materials AI can be

extremely useful in this context and

it's already being used to great effect

in a notable study AI was instrumental

in sifting through millions of

possibilities to pinpoint 23 materials

that hold promise for Next Generation

batteries this collaborative effort

between Microsoft and the Pacific

Northwest National Laboratory has been

documented in a recent publication in

related research in early 2024

Microsoft's Nathan Baker and his

colleagues used AI to sift through 23.6

million candidate materials it tweaked

existing electrolyte designs by

replacing some lithium atoms with other

elements the result was a battery that

required 70% less lithium than other

Current Designs the Breakthrough

material that the AI found was named

n216 experts from the Department of

energy later ensured the Practical

viability of the material

n216 is essentially a novel electrolyte

where half of the lithium atoms were

replaced with sodium this unconventional

recipe opens up exciting possibilities

for battery

physics using this material they were

able to whip up a rough low conducting

prototype that could turn a light bulb

on but the thing is from the idea to a

working prototype only took 9 months a

massively accelerated time scale

especially for a brand new chemical in

battery research but of course there's

some catches so not so fast there are

still some questions over the training

data as the available data in battery

engineering is limited and there could

be some unforeseen complications in

bringing future AI designs to life in

these batteries but this is no doubt

some cool

progress I think it's safe to say that

by now we've been inundated with

consumer facing AI applications with

every single company adding AI as some

quote novel perk honestly it's been over

done and frankly it's annoying at this

point but as a person who's been

covering neural networks on this channel

since 2015 before all of this hype it's

good to get the full picture the stories

I just covered are ones that I

personally found fascinating it helps to

see where we stand in the grand scheme

of things and not to get too tied up in

the noise sure I guess some people might

find it interesting to generate AI

stickers in their messaging app for

whatever reason but to have ai

potentially solve some of the broader

problems of humanity and to ultimate Ely

help us dream of a better world as

cliched as it sounds that's what most of

us have always imagined AI to be and now

that it's showing some promise in some

of these areas it's good to see that

there's some positive movement in that

direction and that's despite the

complete mess on the other side of the

coin so what do you guys think feel free

to share your thoughts in the comment

section

below today we've seen AI helping

Humanity but what if you wanted a career

to do the same actually have you ever

thought about how long a career is on

average it's about 80,000 hours of your

life so it's worth spending some time to

plan it and this is where the nonprofit

80,000 hours can help after 10 years of

conducting research with academics at

Oxford University they've come up with

some of the most fulfilling career paths

careers to help solve some of the

world's most pressing problems 80,000

hours has a job board that's constantly

updated with hundreds of active job

openings that they think might help you

have a high impact you can filter the

job by location role type job

requirements and what problem area they

work on I want to highlight that

everything that they provide is free

they're a nonprofit their only aim is to

help you find a fulfilling high impact

career for example I think the career

path of information security in high

impact areas is critically important and

there'll be more demand as time passes

and they've got an entire career review

on it go to 8000 hour.org coldfusion to

be sent a free copy of their in-depth

career guide which helps you learn about

what makes for a high impact career get

new ideas for impactful paths and make a

plan plan based on what you've learned

and put it into action so that's 80,000

hour.org

coldfusion so thanks for watching and I

hope you learned a thing or two

hopefully this has opened your eyes a

little bit just to see that AI isn't all

completely bad anyway that's enough for

me my name is toogo and you've been

watching cold fusion and I'll catch you

again soon for the next episode cheers

guys have a good one

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true s for

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