2025 AI : 10 Things Coming In 2025 (A.I In 2025 Major Predictions)

Summary

This video script outlines 10 major AI advancements expected in 2024, highlighting the rise of AI agents capable of autonomous task completion across various fields like customer service and healthcare. It also discusses the evolution of voice assistants, true multimodality in AI systems, personalized AI models, enhanced reasoning capabilities, custom-trained models like those for legal research, and AI's role in healthcare. The script further explores autonomous vehicles, improvements in customer service AI, and the exciting developments in humanoid robotics, signaling a future where AI becomes more integrated and sophisticated in daily life and industry applications.

Takeaways

• 🧑‍💼 Agents are emerging as pivotal AI systems capable of autonomous task completion, with Google and OpenAI leading the way in developing specialized agents for various tasks.
• 🗣️ Voice assistants are advancing rapidly, with OpenAI and Google set to release more sophisticated and expressive models that can interact more naturally with users.
• 🎨 True multimodality is on the horizon, allowing AI to process and generate a wide range of inputs and outputs, including text, images, audio, and video, enhancing user interaction and experience.
• 🤖 Personalization features for AI models are in development, aiming to provide more customized and context-aware responses by leveraging user-specific data and preferences.
• 🧠 Improvements in reasoning capabilities and reliability are expected for future AI models, reducing errors and enhancing the models' understanding and responses to complex queries.
• 📚 Custom-trained models are being developed for specific domains like law, integrating vast amounts of domain-specific data to handle complex tasks with higher accuracy and reliability.
• 🏥 Healthcare and AI are converging, with companies like Google and Apple working on AI-powered health coaching services that provide personalized health recommendations based on individual data.
• 🚗 Autonomous vehicles are expanding their presence, with companies like Waymo offering public rides in select cities, signaling a significant step towards driverless transportation.
• 💁‍♀️ Customer service AI is transforming the industry by offering real-time, customized support and facilitating transactions more efficiently than traditional methods.
• 🤖 Advancements in robotics are leading to more capable humanoid robots, with new models like Atlas showcasing enhanced dexterity and autonomy, indicating a future where robots perform a wider array of tasks.
• 📉 The cost of humanoid robots is decreasing, making them more accessible for research and development, potentially accelerating innovation and practical applications in various sectors.

Q & A

What are the 10 major things in AI that the video discusses for the year 2024?

The video discusses the emergence of AI agents, advancements in voice assistance, true multimodality, personalization features, reasoning capabilities, custom trained models for specific use cases like law, AI in healthcare, autonomous expansion, customer service AI, and improvements in robotics.

What is the significance of AI agents as mentioned in the video?

AI agents are pivotal as they represent a shift in AI capabilities, allowing systems to autonomously accomplish tasks set by users, impacting various sectors and potentially changing how we interact with AI systems.

How does the video describe the evolution of voice assistants in 2024?

The video suggests that voice assistants will become more natural and expressive, with the ability to understand and respond to complex commands, and will be integrated into more devices for hands-free interaction.

What does true multimodality in AI entail according to the script?

True multimodality refers to AI systems' ability to process and generate various types of input and output, such as text, images, audio, and video, creating a more comprehensive and interactive user experience.

How will personalization features enhance AI models as per the video?

Personalization will allow AI models to remember user preferences and context, providing more tailored and relevant responses, thus improving the usability and user experience.

What improvements in reasoning capabilities does the video anticipate for AI models?

The video anticipates that future AI models will have enhanced reasoning abilities, leading to more accurate and reliable responses, and a reduction in the occurrence of mistakes.

Can you explain the custom trained models mentioned in the video for the legal field?

Custom trained models for the legal field, as exemplified by the partnership between Harvey and OpenAI, involve integrating extensive legal data and domain-specific knowledge into AI models to handle complex legal queries and tasks with high reliability.

How is AI being integrated into healthcare as discussed in the video?

AI is being integrated into healthcare through specialized models like Google's Med Gemini, which can analyze complex medical data and provide personalized health coaching and recommendations through mobile apps.

What advancements in autonomous vehicles does the video highlight?

The video highlights the expansion of autonomous ride-hailing services in major cities and the potential for self-driving vehicles to become commonplace, improving transportation and reducing the need for human drivers.

How will customer service AI change the customer service experience?

Customer service AI will enable faster, more efficient, and personalized customer interactions, handling transactions, and providing real-time information, potentially reducing wait times and improving customer satisfaction.

What is the potential impact of advancements in robotics as mentioned in the video?

The advancements in robotics, including more capable humanoid robots and those that can perform tasks autonomously without teleoperation, suggest a future where robots can undertake a wider range of tasks, from household chores to complex industrial processes.

Outlines

00:00

🧑‍💼 AI Agents Revolutionizing Task Automation

The video discusses the emergence of AI agents in 2024, emphasizing their ability to perform autonomous tasks assigned by users. Google's demonstration of various agent types like customer, employee, creative, data, code, and security agents is highlighted, showcasing the potential impact on how we interact with AI. While the technology is still in early stages, the development by major companies like Google and OpenAI suggests a significant shift in AI utility and capability.

05:00

🤖 Advanced Voice Assistants and Their Future

This section explores the advancements in voice assistants, demonstrating their potential through interactive demos. The new generation of voice assistants is shown to be far superior to predecessors, with capabilities like storytelling, emotional expression, and even singing. The market potential is discussed, with Amazon's Alexa and Google's voice assistant projects indicating a move towards more natural and hands-free AI interactions.

10:02

🌐 True Multimodality in AI Systems

The script delves into the concept of true multimodality, where AI systems can handle various types of input and output seamlessly. NVIDIA's vision and Google's AI studio are highlighted as examples of this multimodal approach, which includes capabilities like visual analysis, poster creation, 3D object synthesis, and lecture summarization. The potential for personalized AI models is also mentioned, suggesting a more intuitive and customized user experience.

15:04

🧠 Enhancing AI Reasoning and Reliability

The need for improving AI reasoning capabilities and reliability is underscored, with references to comments by industry experts like Sam Altman. The discussion points out the limitations of current models like GPT-4 and the importance of developing smarter AI that can understand context and provide accurate responses consistently. The potential for AI to make fewer mistakes and provide more reliable information is a key focus.

20:05

🏥 AI in Healthcare: Specialized Models and Applications

Healthcare is positioned as a significant beneficiary of AI advancements, with specialized AI models like Google's Med Gemini surpassing GPT-4 in medical QA benchmarks. The development of AI models fine-tuned for medical applications is highlighted, along with initiatives by Google and Fitbit to provide personalized health coaching through AI. Apple's plans for an AI-powered health coach in iOS 17 are also mentioned, indicating a trend towards AI-enhanced personal health management.

25:06

🚗 Autonomous Vehicles Expanding Transportation Options

The script discusses the real-world application of autonomous vehicles, with services like Waymo offering rides in select US cities. Tweets from users experiencing self-driving taxis are shared, highlighting the comfort and reliability of the technology. The Automated Vehicles Act in the UK is cited as a sign of expanding legal support for autonomous transportation, suggesting a near-future where self-driving cars become commonplace.

30:06

🤖 Next-Generation Customer Service AI

The evolution of customer service AI is explored, with Google's AI capabilities being utilized by Symbol Fashions to provide real-time, customized support. The script describes an interaction where a customer service AI agent assists a customer with a purchase, applying discounts, suggesting additional items, and confirming the order efficiently. The potential for AI to transform customer service by handling repetitive tasks and providing instant information is highlighted.

35:09

🤖 Advancements in Humanoid Robotics

The final section of the script focuses on the progress in humanoid robotics, with Boston Dynamics' new Atlas robot hinting at significant advancements in the field. The script mentions the capabilities of existing robots and the potential for robots to perform a wider range of tasks autonomously. The decreasing cost of robots and China's investment in humanoid AI are also discussed, suggesting a future where robots are more accessible and integrated into various aspects of life and work.

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 context of the video, AI is the central theme, with discussions around its advancements and applications in various fields such as customer service, healthcare, and robotics. The script mentions AI systems like Google's agents and OpenAI's developments, indicating the broad impact AI will have in 2024.

💡Agents

In the script, 'agents' refers to AI systems designed to perform specific tasks autonomously, based on the parameters set by a user. They are pivotal to the video's narrative as they represent a significant shift in how AI is utilized, moving from passive interaction to active task completion. Examples include Google's customer agents, employee agents, and creative agents, each tailored to accomplish different objectives.

💡Voice Assistants

Voice Assistants are AI-powered tools that respond to voice commands and perform tasks through verbal interaction. The script highlights the evolution of voice assistants, showcasing their enhanced capabilities in understanding and responding to user queries in a more natural and expressive manner. The mention of OpenAI's demo and Google's Project Astra exemplifies the advancement in this area.

💡Multimodality

Multimodality in AI refers to the ability of a system to process and understand multiple types of input and output, such as text, images, audio, and video. The script discusses the expansion of multimodal AI, emphasizing its potential to revolutionize user interactions by offering a seamless integration of various data formats, as illustrated by NVIDIA's conference and Google's AI Studio.

💡Personalization

Personalization in AI is the customization of responses or services based on individual user data, preferences, and history. The script explains how personalization will enhance the usability of AI models by providing more tailored and relevant responses, making them more efficient and user-friendly, as discussed in the context of AI systems remembering user preferences and history.

💡Reasoning Capabilities

Reasoning capabilities in AI models refer to their ability to make logical deductions and solve problems based on the information provided. The script points out the importance of improving these capabilities to ensure that AI models can understand complex queries and provide accurate responses, which is crucial for their reliability and broader application.

💡Custom-trained Models

Custom-trained models are AI systems that have been fine-tuned for specific use cases or domains, such as legal case law research mentioned in the script. These models incorporate domain-specific knowledge to perform specialized tasks more effectively, demonstrating the adaptability of AI to meet the unique needs of different industries.

💡Healthcare and AI

The integration of AI in healthcare is showcased in the script through examples of AI models that can analyze complex medical data and provide personalized health coaching. The mention of Google's Med Gemini and the collaboration between Google Research and Fitbit highlights the potential of AI to revolutionize healthcare by offering advanced diagnostics and personalized health recommendations.

💡Autonomous Expansion

Autonomous expansion in the script refers to the growth and development of self-driving technologies, such as autonomous cars and taxis. The script discusses the real-world application of these technologies, with companies like Whos offering rides in major cities, indicating a significant step towards a future with widespread autonomous transportation.

💡Customer Service AI

Customer Service AI pertains to the use of AI in providing customer support, with the script highlighting its potential to offer real-time, customized interactions. Examples given include Google's customer service AI and Wendy's drive-through AI, which demonstrate the efficiency and improved customer experience that AI can bring to service industries.

💡Robotics

Robotics in the context of the script refers to the development and application of robots, particularly humanoid robots, that can perform tasks autonomously. The script discusses advancements in robotics, such as Boston Dynamics' Atlas and China's development of humanoid robots, showcasing the potential for robots to take on more complex and varied tasks in the future.

Highlights

Introduction to the 10 major advancements in AI for 2024.

Emergence of AI agents capable of autonomous task completion.

Google's demonstration of diverse AI agents including customer, employee, creative, data, code, and security agents.

OpenAI's development of agent software to automate complex tasks by taking over user devices.

Potential for AI agents to transform how we interact with and utilize AI systems.

Voice assistance advancements with more natural and expressive interactions.

Google's Project Astra showcasing the future of AI assistance with voice.

Amazon's plans to overhaul Alexa with integrated large language models and generative AI.

True multimodality enabling AI systems to process and output various types of data.

GPT 4.0's multimodal capabilities showcased through different features and applications.

Personalization features of AI models to enhance usability and user experience.

Importance of reasoning capabilities and reliability for future AI models.

Custom trained models for specific use cases like legal case law research.

Healthcare and AI advancements with models like Google's Med Gemini for medical QA.

Autonomous vehicles expanding into major cities and the impact on transportation.

Customer service AI revolutionizing business interactions and support.

Developments in humanoid robotics with advanced capabilities and decreasing costs.

China's investment in humanoid robotics aiming for global leadership in AI and robotics.

Concluding remarks on the upcoming AI and robotics trends to watch in the next year.

Transcripts

so in today's video I'm going to be

telling you guys a look at the 10 major

things that are going to be coming in

2024

sl22 for artificial intelligence I'm not

sure how long this video is going to be

but there will be time stamps so you can

take a look at everything that is going

to be released and the future is most

certainly exciting so let's not waste

any more time so one of the first things

that is basically here is of course

agents now the video you're currently

seeing behind you is a video that I

recently made on Google Go's agents now

this is why the you know the text right

here isn't I guess you could say synced

up is because what Google did and what

many other companies are trying to Pivot

to in the late 2024 and in 2025 is of

course agents now agents essentially

just refers to I guess you could say AI

systems that are able to I guess you

could say kind of do whatever they want

and go out and accomplish a kind of task

that the person has set out for them and

I think this is going to be one of of

the most pivotal moments that does

happen in AI because this is going to be

one of the moments that actually impacts

you now the reason this is going to

actually impact us and the reason you're

going to truly feel this is because as

you can see in Google's demo if I pause

it right here you can see that they're

trying to basically hit every single

agent aspect that there pretty much is

going to be in Google since they've

decided to I guess you could say kind of

call the red flag you can see right here

that they've got customer agents

employee agents creative agents data

agents code agents and security agents

and this video there's basically quite a

lot of different features it's a

50-minute video where I've kind of cut

the long drawn out Google I guess you

could say announcement into a shorter

video about where they talk about you

know employee agents and this is going

to be really gamechanging because it's a

complete difference in how we currently

use AI systems currently we use AI

systems in this in the sense in the

general sense that you know we talk to

these AI systems and we interface with

them in a chat interface and with this

one we're going to Simply ask the AI

system to do something outline some

parameters and then the AI system is

going to be able to go ahead and

accomplish those tasks and that is why I

think this is going to be probably one

of the most pivotal moments now this is

still pretty pretty early in its stages

like currently we're still in a very I

guess you could say basic area for the

agents and the current demos that I'm

seeing from some of the top labs they

don't seem too too impressive so it

seems like there is a breakthrough that

is you know probably needed but I think

whenever this breakthrough does happen

because some of the larger larger

companies are really really working on

this I'm pretty sure this is going to be

crazy now one of the things is that open

ey have actually spoken about this you

can see that open ey have shifted its

Battleground to software that operates

devices and that automates t tasks so

essentially you can see right here it

says open ey is developing a form of

agent software to automate complex tasks

by effectively taking over a customer's

device the customer could then ask the

chat GPT agent to transfer data from a

document to a spreadsheet for analysis

for instance or to just completely do

random different things or to fill out a

spreadsheet and I think like I said

already this is going to be one of the

main things that really really changes

the game and as you know open AI have a

very very long history of releasing very

good products so whatever agent they're

working on apparently they're working on

two agents you know computer using

agents and these agents can effectively

take over a user's device to perform

tasks such as transferring data from a

document to a spreadsheet filling out

expense reports and entering them into

accounting software and these tasks

involve actions like you know clicks

cursor movements and text typing

mimicking basically human interactions

with different applications and of

course secondly other than the computer

agents okay and this is basically just

summarized from this article we have

web-based agents and these web-based

agents are going to handle tasks that

are primarily conducted online and they

can gather public data about companies

tra travel itineraries win of the budget

book flight tickets they can utilize

llms um and perform those really cool

tasks so basically what we have here is

I guess you could say a really really

really interesting bit now Sam Alman did

actually talk about this on about how

agents are going to be pretty pretty

incredible this is from an interview

that he did earlier this year with Bill

Gates it was one that I guess a lot of

people did Miss because Bill Gates

doesn't really have a large YouTube

presence but it was one that I managed

to get a small small audio snippet from

where Sam Alman actually speaks about

the future of agents and exactly what is

going to happen creely new things and

we're we're really seeing that and so as

we look as we look at these back steps

of things that can do a more complete

task you can like imagine a little agent

that you can say go write this whole

program for me I'll ask you a few

questions along the way but it won't

just be writing a few functions at a

time that'll enable a bunch of new stuff

uh and then again it'll do even more

complex stuff someday maybe there's an

AI where you can say you know go start

and run this company for me and then

someday there's maybe an AI where you

can say like go discover new physics and

it's the stuff that we're seeing now

very exciting and wonder

uh but I think it's worth always putting

in context of this technology that at

least for the next 5 or 10 years we'll

be on a very steep Improvement curve um

these are the stupidest the models will

ever be but coding is probably the area

the single area from a productivity gain

we're most excited about today uh

massively deployed and you know it's

scaled usage at this point Healthcare

and education are two things that are

coming up that curve so you could hear

that he was basically saying that it's

going to be a steep Improvement for

agents because it's of course something

that they haven't really worked on but I

guess agents are going to be a thing

where you can say hey look I need you to

go create this company for me I need you

to go run this business for me I need

you to go make this PowerPoint

presentation go do all of my homework or

whatever of course at that time I

guarantee there's going to be a

different kind of homework but the point

here is that you can see that agents are

truly going to be that breakthrough

moment and I do think that a lot of

companies are working on this now I

think the Breakthrough is likely to come

and potentially you know maybe late 2024

to early 2025 but I do think that agents

is something that you know Google as

you've seen are working on an open AI

are working on because it's very very

very important now in addition Google uh

have actually stated that this is what

they're working on and this is a clip of

demes hassabis the leader of Google's

Deep Mind which is their AI Division and

he speaks about how they're going to

develop these kinds of Agents I'm also

really excited about the next stage of

these large General models um you know I

think the next things we're going to see

perhaps this year perhaps next year is

more agent-like Behavior so systems that

are able not only to just you know

answer questions for you but actually um

plan and act in the world and and solve

goals you know and I think those are the

things um that will make these systems

sort of the next level of usefulness in

terms of being uh a useful everyday

assistant and again that's bringing back

in some of our uh work we did years ago

with with gaming which were all agent

systems um you know achieving certain

goals and objectives uh bringing that

kind of work and marrying that together

with the modern large multimodal model

work so yeah there's Deus saus talking

about the future of agents and I think

he's very much to right in the fact that

that is going to bring things to a

completely another level um and it's

going to be completely different because

this is where you're going to unlock

real real value because a lot of people

um I wouldn't say they don't use AI

systems but it's going to be interesting

to see how you know using those AI

systems is you know vastly different

than the way we interact with them now

so I think that is going to be super

super fascinating now here we are for

the next part okay and the next part of

course is voice assistance now many of

you may have seen the new open AI demo

and this is of course what we're going

to be seeing a lot more of from the top

Frontier AI labs in 2024 and of course

early 20125 now there's actually a lot

to discuss here because Voice Assistant

might not be what you guys think so

essentially in this demo here we

actually did get to see a huge huge huge

huge variety of different voice

assistants and these voice assistants

were really really really good because

compared to the previous ones that we've

had before like Siri they completely

brow blow just blow everything out of

the water so this is a short gbt 40 demo

and then I've got to show you guys

another demo that most people did

actually miss from another top Frontier

company that I guess you could say is

working on something very very similar

to this hey Chach PT how are you doing

I'm doing fantastic thanks for asking

how about you pretty good what's up so

my friend um Barrett here he's been

having trouble sleeping lately and uh I

want you to tell him a bedtime story

about robots and love oh a bedtime story

about robots and love I got you covered

gather round Barrett once upon a time in

a world not too different from ours

there was a robot named B

bite was a curious robot always expl

started this story but I want a little

bit more emotion in your voice a little

bit more drama got it let's add some

drama once upon a time in a world not

too different from ours there was a

robot named I really want maximal

emotion like maximal expressiveness much

more than you were doing before

understood let's amplify the drama once

upon a time in a world not too different

from ours there was a robot named bite

bite can you do this in a robotic voice

now initiating dramatic robotic voice

once upon a time in a world not too

different from ours there was a robot

named bite bite was a curious robot

always exploring new circuit Barrett

here calm down a little bit can you end

the story um but do it in a singing

voice and so bite fell owned another

robot friend and they live circly Ever

After thank you so much I definitely

feel a lot more

relaxed so now the reason voice

assistants are going to be pretty pretty

crazy and the reason like a lot more

people are going to be using them is

because we've already seen the fact that

the The Voice assistance are serving a

pretty huge Market if you remember the

rabbit R1 device that was I guess you

could say a Voice Assistant that was

much better than anything else at the

time and although many people are

stating that it's just a rapper product

or yada y yada I think the point here is

that voice assistants are truly the way

that we are going to interact with AI

because it just feels the most natural

when I'm talking to GPT 40 or when I'm

talking to you know another person I'm

really trying to feel the same way and

the same kind of fluidity and that's

what most people use of course there are

going to be some scarios where you just

simply want to you know talk with a

large language model or an AI system and

get out you know uh lots of lots of text

but I think that for the vast majority

of people on a day-to-day basis you know

handsfree being able to just talk with

your AI about whatever topic it may be

this is going to be the large majority

of where people are you know Finding

real real use for these systems okay uh

and this also is great because for those

who aren't technologically advanced uh I

guess you could say this is going to be

a much easier way for them to interact

with the software now another thing that

we do have is Google's Project Astra so

this is the vision for Google's future

of AI assistance and this is quite

similar to the recent thing that we just

saw but it's Google's very own

interesting way of doing their voice

assistance and this is likely to be

released in the coming months although

Google haven't really shipped anything

that they like that they said they were

going to ship but this is of course

something thing that they're still

working on and this demo is giving us an

insight to where things are going to

head so this should be giving you guys

some creative ideas for how the

interaction and the ecosystem around AIS

is going to change okay let's do some

tests tell me when you see something

that makes sound I see a speaker which

makes

sound what is that part of the speaker

called that is the Tweeter it produces

high frequency sounds

give me a creative alliteration about

these creative crayons color cheerfully

they certainly craft colorful

Creations what does that part of the

code do this code defines encryption and

decryption functions it seems to use a

ecbc encryption to encode and decode

data based on a key and an

initialization Vector IV that's right

what neighborhood do you think I'm

in this appears to be the king's cross

area of London it is known for its

railway station and transportation

connections do you remember where you

saw my glasses yes I do your glasses

were on the desk near a red

apple what can I add here to make this

system faster adding a cache between the

server and database could improve speed

what does this remind you of shringer

cat all right uh give me a band name for

this Duo golden Stripes nice thanks

Gemini so yeah that is Google's aim at

the voice assistants and I think voice

assistants have another area in which

they're going to be you know moving

forward because there are other

companies that have had a market share

and let me just put something on the

screen and that is of course Amazon so

Amazon of course are planning to give

Alexa an overhaul and a monthly

subscription price so Amazon is making

significant upgrades to Alexa by

integrating large language models and

generative AI capabilities Amazon is

actually developing a new version of

Alexa powered by custombuilt llms

optimized for voice interactions and

this llm whichever it's going to be

based on I think it most likely will be

claw 3 are going to enable more natural

con conv ation interactions with Electra

and some key enhancements include

conversation a visual wakeup word

conversational speech recognition and

expressive text to speech so this is

going to be another step in terms of

integrating these AI systems with the

wider wider world and we know that there

are already tons of people who already

have these devices in their homes that

they could literally just receive the

software update and then boom you now

have millions of users who are going to

be interacting with voice assistants

that are actually really really useful

so it's going to be interesting to see

what Amazon does and I'm sure that their

partnership with anthropic is going to

be a major part of that now like I said

it before one of the things that I do

think would be surprising is if Google

didn't make an announcement regarding

their home devices I'm not sure of the

popularity of these I know that most

people do have an Alexa I've never

really heard anyone talking about their

Google device but I'm pretty sure it

would sell a lot more devices if you

could just have a home device or a

physical device where you could just ask

it simple questions and it could respond

very easily I know that's something that

I would certainly be using so the next

thing that is on the list for AI number

three is of course true

multimodality so essentially any to any

and this is a screenshot from nvidia's

recent conference but it gives us a

glimpse into the future of how

multimodal systems are truly going to

work any kind of input that you can

think of is going to be used and then of

course you're going to be able to put

that into any other kind of I guess you

could say input/output and this

multimodality this true multimodality is

in some ways already here and will be

further expanded upon so one of the ways

that most people didn't even realize and

this is something that I actually saw

because I was paying attention and most

people didn't realize but that when GPT

40 was released they released this web

page okay and there were an exploration

of different capabilities and in the

capabilities section there were a bunch

of different you know things that showed

us that gbt 40 was and is a completely

multi modal model that's why they called

it GPT 40 Omni and there were many

different things that they just didn't

Showcase in the demo that proved to us

that this is the future of AI because

it's actually a completely multimodal

model natively built it's not like it's

a you know large language model or

something like that it's completely a

natively multimotor model so I'm going

to show you guys quickly what I mean by

this so if you go onto the gbt 40 web

page and if you scroll down there's this

section right here this section is

called an exploration of capabilities

you can see that this is visual then you

can see that this is poster creation and

you can see it's able to combine

different things you can see we have

here this photo character you can see

turning photos into different things

things you can see concrete poetry

you're able to turn this into words and

I think you're also able to turn this

into a badge you're also able to see

lecture summarization so this shows you

that you've got a 45 minute video and

it's able to take the input from that so

remember this is true true multimodality

meeting notes with multiple speakers

it's able to take in audio you can see

right there there was also 3D objects

synthesis so you can see right here it's

able to generate a 3D object and able to

rotate that in Real Time 3D

reconstruction so this is something that

is truly truly going to change

everything because we have a situation

where there's going to be true

multimodality which means the only

limits that you're truly going to be

thinking about are ones in your head and

in addition to that the multimodality

aspect has been there with Google's

recent AI studio so if you don't know

Google have released their AI studio and

in there you can actually upload audio

you can upload images and you can upload

video videos up to an hour long so it's

pretty pretty crazy what you can truly

do with true multimodality because

currently with Google's new studio it's

not out for everyone although it's out

for most people but still when I'm

trying to use it it's still pretty buggy

so it's not something that I've actually

been able to use into my workflow just

yet but true multimodality I do think is

going to change a lot of things because

whilst images and text are good videos

and audio are going to complete the

entire equation then what we have is

very interesting we have the

personalization of these models so

basically there is a feature that is

only available to a select few accounts

in select few regions namely USA being

one of them and that is of course the

personalization feature so some in the

later months I'm sure that

personalization is going to be rolled

out to Europe and the rest of the UK and

I'm sure that when it does it's going to

increase the I guess you could say the

usability of these models because

personalization is something that

changes the game you don't need to

remind it all the things you've done

before you don't need to remind it all

of your preferences and it completely

knows all the facts that you want it to

know about you that make it a lot more

easier to use on a day-to-day basis like

for example I was trying to ask it a

question okay and I was like okay what

is the best restaurant or what type of

food should I eat today and you have to

remember that when you open a new chat

with chat GPT or any AI system it

doesn't have this area of memory which

means its only data point that it has is

that a human wants to eat some kind of

food it doesn't have your age it doesn't

have your location it doesn't know what

you like to eat it doesn't know if

you're allergic to anything all it knows

is that human wants to eat food so when

you give it that command it's going to

be able to give you a very broad answer

that's very vague that can satisfy all

of those things however if you're like

okay I'm a male I go to the gym I'm very

active I'm trying to get Le C it might

suggest here some protein especially if

you like a sweet taste try this with

honey like some beef and like it will

try to suggest things that actually are

useful for you and that's going to give

a huge huge huge boost in terms of the

usability because the more data you give

these models the the better they are and

that's something that I've known in my

personal experiences when I can't get

these models to do something right I

just give it more and more context and

the more context I give it the better

the responses from these models are and

here you can see Sam Alman and both

Gates actually speaking about this

customizability and personalization will

also be very important people want a

very different very different things out

of gp4 different styles you know

different sets of assumptions we'll make

all that possible and then also the

ability to have it use your own data so

the ability to know about you your email

your calendar how you like appointments

booked connected to other outside data

sources all of that those will be some

of the most important area so yeah

that's um Alman talking about how those

are some of the you know most important

areas for the AI systems um and of

course the next thing that we do have

and this is actually Point number five

although it does say number four is of

course the reasoning capabilities um and

the reliability of the model that just

means the model doesn't make mistakes

and the model is a lot smarter we'll be

able to push that much further but maybe

the most important areas of progress

will be around reasoning ability right

now gp4 can reason and only extremely

limited ways and also reliability you

know if you if you ask gp4 most

questions 10,000 times one of those

10,000 is probably pretty good but it

doesn't always know which one and you'd

like to get the best response of 10,000

each time so that'll be that that that

increase in reliability will be

important and so yeah Sam mman says

reliability and reasoning ability is

going to be pretty pretty important now

samman has spoken about this and if you

don't know what he means by that he

basically just means that the model is

just going to really understand truly

what you want and it's never going to

make a mistake again I wouldn't say

never because I think that's pretty hard

to say but um you know it's pretty much

going to be not as much as it does right

now so he talks about this and I've

included this clip here because he

basically says how gp4 is quite stupid

and it's quite dumb uh and that's to

point out the reasoning capabilities of

the model are pretty limited and if you

don't know what I mean if you want to

take a quick demo you can like there was

a question that people used to ask to

GPT 4 and the question that they used to

ask it was like if someone moved

something from one bag to another but

the bags were transparent um could you

see what's inside and the model doesn't

realize that the bags are transparent

and that's just basically uh part of its

reasoning capability to be like wait a

minute the bags are transparent I should

be able to see exactly what's inside um

but it can't so things like that you

know you you might not use it on a

day-to-day basis if you're using it to

write essays but um an increased

reasoning capability means that there's

going to be a lot more wide applications

which means it's going to impact a lot

more industry so uh here's where samman

talks about the fact that gpc4 is quite

dumb um I I mean this this sounds like a

copout answer but I think the most

important thing about GPT 5 or whatever

we call that is just that it's going to

be smarter and this sounds like a Dodge

but I think that's like among the most

remarkable facts in human history that

we can just do something and we can say

right now with a high degree of

scientific certainty GPT 5 is going to

be smarter than a lot smarter than GPT 4

GPT 6 is going to be a lot smarter than

GPT 5 and we are not near the top of

this curve and we kind of know what know

what to do and this is not like it's

going to get better in one area this is

not like we're going to you know it's

not that it's always going to get better

at this eval or this subject or this

modality it's just going to be smarter

in the general sense and I think the

gravity of that statement is still like

underrated like I said before the

gravity is definitely going to be

underrated because of the vastly smarter

model we've seen what the capabilities

are the jump from GPT 3.5 to4 meant that

people could actually use GPT 4 for you

know certain things like code certain

things like writing uh you know a lot

more I guess you could say things that

you know a lot more meaningful um and

there are just a lot more tasks that you

can do and of course this is where he

talks about the fact that gbt phenomenal

chat gbt is phenomenal um everything

else all the other models are phenomenal

it burnt you've earned $520 million of

cash last year that doesn't concern you

in terms of thinking about the economic

model of how do you actually where's

going to be the monetization source well

first of all that's nice of you to say

but Chachi PT is not phenomenal like

chbt is mildly embarrassing at best um

gp4 is the dumbest model any of you will

ever ever have to use again by a lot um

but you know it's like important to ship

early and often so yeah pay attention to

what he said there it's going to be the

dumbest model you have to use for a

while by a lot so I think that's going

to be something that's really really

really important now coming in at number

six is of course custom trained model so

here what you can see is a uh model that

is trained for Law and you can see that

it's going against gp4 so basically

Harvey the company Harvey developed a

partnership with open ey and they

developed a custom case law model so

basically they have foundational models

and they use public apis and they

attempted to fine-tune Foundation models

using public apis and retrieval

augmented generation systems but these

systems weren't really good because they

needed deep domain knowledge and

sophisticated reasoning and then they

decided to collaborate and partner with

open AI to train a model specifically

for legal case law research and this

involved integrating a vast amount of

legal data and domain specific knowledge

into the base models and then they added

case law from Delaware and gradually

expanded to include the entire Corpus of

the US case law and this added around 10

billion tokens worth of legal data to

the model so this was a highly

collaborative effort from open AI with

lawyers explaining the intri intricacies

of case law research and AI researchers

demonstrating model capabilities and

this is where openi provided insights

into the technical aspects and

adjustments needed to refine the model

so the custom train model can handle

tasks that require detailed legal

reasoning and the ability to draw from

extensive legal knowledge and it's

capable of generating comprehensive

answers to complex legal queries and

drafting documents and one of the main

improvements is that this model's

ability to reduce hallucinations and

ensure that every statement is backed by

cited case law and this makes the

outputs from this model highly reliable

and useful for legal professionals who

need accurate references so overall what

we can see here is the fact that in the

future we're going to have models that

are custom trained for specific use

cases um and law is going to be one of

them whilst yes GPT 4 can be used to you

know argue certain things I think it

shows here that when you have a custom

trained model the use cases go up a

significant amount um and that is

something that we're probably going to

see a lot more more often now next is

something that I think we are definitely

likely to see because the rate of

improvement here has been very very

interesting so this is Healthcare and Ai

and there are a few companies that have

been silently working behind the scenes

to I guess you could say develop certain

Healthcare products that are going to be

ready very very soon and I think they're

going to take advantage of these new AI

systems and it's going to be a really

really interesting thing currently what

your looking at is of course the

benchmarks on the med QA the medical

question and answering QA and you can

see right here that GPT 4 has been

surpassed by Google Geminis Med Gemini A

specialized version for answering

medical questions so essentially it's a

family of AI models fine-tuned

specifically for multimodal medical

applications and those models are

capable of understanding and analyzing

complex Medical Data including text

images videos and electronic health

records like I said the multimodal

capabilities of Gemini mean that these

models are now able to digest a variety

of different information and do Advanced

reasoning on it and it's shown

remarkable performance achieving

state-of-the-art accuracy of

91.1% on the med QA Benchmark which is

of course used for evaluating medical

knowledge similar to the US medical

licensing exam and like I said it's not

just research Google research and Fitbit

are actually building personal health

llms to offer personalized coaching and

recommendations through a mobile app so

leveraging Google's family of generative

AI models in Gemini and sufficient

Health Data from Fitbit and pixel

devices this initiative aims to provide

tailored guidance based on individual

health and fitness objectives so Google

have just recently announced that they

are working on this and they are

actively trying to bring this to Fitbit

and not just Google but apple apple

plans a AI powered health coach coaching

service a mood tracker and iPad Health

app so this is the move part of iPhones

make us push into health services so

this is going to be something that is

planned for iOS 17 maybe we're going to

get an announcement at Apple's new not

conference but I think it will be

interesting to see what actually happens

because this is something that I think

is very very underrated and this is

definitely going to impact Healthcare in

a very positive way because it's going

to bring down I guess you could say

access to high quality information next

of course we have something that is the

autonomous expansion so if you don't

know autonomous cars are a real thing

and they're basically cars that drive

without you they don't need a driver and

you can sit in the passenger seat and

you know get taken to your destination

it's really weird but it actually makes

a lot of sense so essentially what

you're looking at here is a few tweets

from people that have you know been

firsthand in these Whos so you can see

right here this person says so weo is

actually amazing using it in SF for

every trip now and it's just rock solid

on a ride now and it just navigated a

bunch of really odd and expected on

Street nonsense with confidence and ease

and someone says I now prefer

self-driving Whos over Ubers I actually

feel safer and someone said I just tried

Whos self-driving taxis it's more

comfortable than taking an Uber AI is

changing everything even for taxi and

Uber and the thing is is that this is

expanding this kind of stuff is going to

be expanding into many different areas

and eventually I do think that it's

probably going to be across the US but

you can see here that it says later this

year weo will be offering rides to the

public in four major cities starting

tomorrow March 14th our fully autonomous

ride hailing service will be available

to select members of the public in Los

Angeles and after starting initial Rider

only testing in Austin last week we plan

to offer wh one to austinites later this

year so that is pretty crazy they going

to be expanding this and we're likely to

see a lot more of the user feedback from

this and I think with some of the other

announcements especially going on in the

UK as well with the fact that the

automated Vehicles Act is now law it

means that self-driving Vehicles could

be on British roads in Just 2 years and

it's going to be a very very interesting

time now with that we have Point number

nine now what else is coming and this is

customer service AI so if you're someone

that interacts with the business which

is all of us anytime you have to speak

to customer service there is usually

some tedious interaction but that's

about to change take a look at Google's

customer service AI That's changing the

game behind the scenes symbol Fashions

customer agent is using Google Cloud's

full Suite of AI capabilities to offer

customized support interactions you know

facilitate transactions like purchases

and returns and ensure that I'm

receiving the most upto-date information

in real time I'm so close to having this

shirt for the concert let's give the

store a call

hi there this is the symbol fashion

customer agent at South Las Vegas

Boulevard am I speaking with Amanda yes

this is Amanda great thanks for reaching

out Amanda I see you had a session on

another device I've sent you an SMS

message with a link to our live chat

companion if you would like to switch to

chat please click the link how can I

help you today I'd like to purchase the

shirt in my cart with the cart I have on

file absolutely I see you're also a

symbol fashion Awards member looks like

you have a 20% off voucher available to

use would you like to apply it to this

purchase yes please that would be great

the shirt you're purchasing goes well

with these items also available for

pickup in your preferred size would any

of these be interesting to you

absolutely please add the white shirt

and the boots to my cart great your

total is $

23.73 okay to proceed with the card on

file yes your purchase is confirmed do

you need anything else today no I'm all

set thank you incredible thank you for

shopping with symbol fashion you'll get

a text when the items are ready for

you in less than 5 minutes I was able to

find and order the shirt I wanted and an

outfit to match I'm ready for the

concert back to you Thomas many of so

you can see right there that that is

truly going to change the game and and I

think it's I think it's real and in the

sense that like this is going to be

something that actually helps companies

out because you know customer service is

just tedious you got people always

complaining people not being able to

find stuff and I think ai's ability to

you know uh rapidly access information

be able to be patient you know not get

annoyed if someone raises their voice I

think this is going to be an area that

humans don't even want to do anyways so

this is going to be something that's

really impressive now of course with

customer service AI you do have other

areas here uh and Wendy's has been

actually I guess you could say testing

this out i' I've shown this a couple of

times but this is very relevant because

I think that you know more

drive-throughs are probably going to use

this stuff provided it's effective as as

it's shown

here welcome to Wendy's what would you

like can I have a chocolate

frosty which size for the chocolate

frosty

medium can I get you anything else today

no thank

you great please pull up to the next

window so yeah you can see uh the

differences in how things are going to

go and I think this would be really good

because I've seen too many videos of

people taking the Mickey out of people

in drive-throughs and it's quite

frustrating cuz some people just want to

work their jobs and people are like

trying to make funny content out of them

so if we just had AI in this position

that could speak all the languages

understand exactly what you said be

completely patient I think that that's

going to be something that's really

really cool now another thing that we do

have and coming in at Point number 10

last but not least is of course even

better robots so we currently looking at

is boss and Dynamics new Atlas which is

pretty pretty incredible we haven't seen

a full demo yet but from what they've

shown us they've shown us that they are

about to embark on a new humanoid

robotics run that if this robot can move

anything like their old Atlas I think

people are going to be in for a real

real surprise on how this robot is going

to move considering it's completely

electric um and I don't think it's

hydraulic based like the previous one so

we're about to get a huge new I guess

you could say not robotic spoon but like

a huge huge focus on robotics because

robots have been I guess just going

through an incredible period of growth

and you can see here that even recently

there was this robot here at one time

speed being able to do just incredible

tasks that I still struggle to believe

that this is a robot with no

teleoperation so it's incredible at what

some of the companies around the world

are being able to do with robotics so I

think you know later on this year or

even in 2025 there's going to be a few

things that show us that you know robots

are going to be doing a lot more

different tasks and this is especially

combined with the fact that you can see

right down here these things are

combined with some of the multimodal AIS

and of course these llms integrated with

them so it's going to be a very very

interesting time to see what kind of

things we do get with robots and not

just the fact that this is like one time

speed no teleoperation which is just

genuinely mind-blowing that a robot is

able to just do this because it now

means you know in the future when you

know people are talking about robots

doing a lot of household tasks and

things like this and remember guys this

is no teleoperation which means there's

no human uh in another room that's

controlling this this is a robot

completely autonomously doing this based

on a set task um and I think you guys

need to also take a look at the fact

that China has been developing a ton of

humanoid robots this is only like half

of them um and so far the demos that

we've seen the infrastructure that

they're they're building you know

everything is being you know put in

towards humanoid Robotics and Ai and I

think China definitely wants to be a

leader in that space because they

understand the economic value and even

recently we got unry G1 which is an AI

agent Avatar as described and it's a

humanoid robot that is only

$166,000 which means the decreasing cost

of these robots means that researchers

can afford to purchase these systems and

apply their research techniques on these

systems because a lot of times the the

problem is that you know these robots

are pretty pretty expensive especially

some of the cool ones that you're seeing

in these demos they're like $250,000 to

half a million dollars and I mean if

you're a researcher at a university it

can be pretty pretty impractical to just

buy one so that you can do some research

Arch on it but if we can get these

things down with economies of scale it

could open up a huge huge huge area for

where we're seeing rapid progress on

these devices so that was the 10 things

that I think are going to be coming in

the next 365 days for AI robotics slth

Singularity and those are going to be

things that you truly do see here on

this channel if there was anything I did

miss don't forget to leave a like down

below don't forget to comment down below

and let me know what thing you are most

excited for cuz I would love to know