Elon Musk CHANGES AGI Deadline..Googles Stunning New AI TOOL, Realistic Text To Video, and More

Summary

The video script discusses pivotal developments in AI, highlighting Google DeepMind's advancements in video-to-audio technology, creating realistic soundtracks for silent clips. It also touches on Google's shift from research to AI product development, facing challenges like researcher attrition. The script explores AI's role in content creation with TikTok's Symphony, Meta's open-source models, and Runway's Gen 3 Alpha for photorealistic video generation. It concludes with Hedra's character generation and Elon Musk's vision for Tesla's AI advancements, predicting AGI by 2026.

Takeaways

• 🧠 Google DeepMind's video to audio generative technology can add sound effects to silent video clips, enhancing the viewing experience with synchronized audio.
• 🎥 Google showcased the capabilities of their AI model with examples including a wolf howling at the moon and a drummer on stage, demonstrating high-quality audio-video synchronization.
• 🔄 Google's AI advancements have led to a shift from a research lab to an AI product factory, indicating a strategic move towards commercializing their AI technologies.
• 💡 Google is facing internal challenges with a 'brain drain' as talented researchers leave for other companies, seeking faster product development and deployment.
• 📈 TikTok introduces Symphony, an AI suite designed to enhance content creation by blending human creativity with AI efficiency, aiming to streamline the video production process.
• 🌐 Meta contributes to the open-source community by releasing numerous AI models and datasets, fostering innovation and collaboration in the AI field.
• 🔊 Meta's audio seal is a new technique for watermarking audio segments, potentially identifying AI-generated speech within longer audio clips.
• 🎨 Runway introduces Gen 3 Alpha, a text-to-video model that generates highly realistic videos, including photorealistic humans, pushing the boundaries of AI-generated content.
• 🤖 Hedra Labs' Character One is a foundation model for headshot generation that can create emotionally reactive characters, opening new possibilities for AI in storytelling and acting.
• 🚗 Elon Musk discusses Tesla's future with AI, including the integration of advanced AI systems into vehicles and the potential for AGI (Artificial General Intelligence) by 2026.
• 🤖 The development of AI humanoid robots like Tesla's Optimus is expected to bring a level of abundance in goods and services, potentially transforming various industries.

Q & A

What is the main update from Google DeepMind regarding video to audio generative technology?

Google DeepMind has shared progress on their video to audio generative technology, which can add sound effects to silent video clips, matching the acoustics of the scene and accompanying onscreen action.

Can you provide examples of the audio effects generated by Google's new model?

Examples include a wolf howling at the moon, a slow mellow harmonica playing as the sun sets on the prairie, jellyfish pulsating underwater, and a drummer on stage at a concert with flashing lights and a cheering crowd.

How does Google's generative audio technology work?

Google's technology uses video pixels and text prompts to generate rich soundtracks, allowing it to create audio that matches the video content effectively.

What is the significance of the drummer on stage example in Google's demonstration?

The drummer on stage example is significant because it shows the model's ability to sync the audio hits with the actual onscreen actions, indicating a high level of coordination between visual and audio elements.

What is Google's recent shift from a research lab to an AI product factory?

Google has made a major shift from focusing on research to producing AI products, which reflects a change in strategy from foundational research to commercializing their breakthroughs.

Why have some researchers left Google DeepMind?

Some researchers have left Google DeepMind due to frustrations with the company's pace of product release and a perceived lack of focus on shipping features to the masses.

What is TikTok's Symphony, and how does it help content creators?

Symphony is TikTok's new creative AI suite designed to elevate content creation by blending human imagination with AI-powered efficiency, helping users make better videos and analyze trends for effective content ideas.

What is Meta's contribution to the open-source AI community?

Meta has released a large number of open models and datasets, including multi-token prediction models, Meta Chameleon for image and text reasoning, Meta Audio Seal for audio watermarking, and Prism for diverse geographic and cultural features.

What is Runway's Gen 3 Alpha, and how does it advance video generation?

Runway's Gen 3 Alpha is a text-to-video model trained on new infrastructure for large-scale multimodal training, offering highly realistic video generation, especially with photorealistic humans.

What is Hedra Labs' Character One, and what does it enable?

Hedra Labs' Character One is a foundation model that enables reliable headshot generation and storytelling with emotionally reactive characters, allowing next-level content creation.

What are Elon Musk's predictions regarding Tesla's AI advancements?

Elon Musk predicts that Tesla will achieve AGI, or Artificial General Intelligence, by 2026 at the latest, enabling humanoid robots to perform a wide range of tasks with a high level of intelligence.

Outlines

00:00

🎥 Google DeepMind's Audio-Video Generative Technology

Google DeepMind has made significant progress in video to audio generative technology, allowing silent video clips to be matched with appropriate sound effects and theme tunes. The technology showcases four examples, including a wolf howling at the moon, a harmonica at sunset, jellyfish underwater, and a drummer at a concert. These examples demonstrate the system's ability to generate high-quality, realistic audio that syncs well with the video content. Google's approach to using video pixels and text prompts to create soundtracks is seen as more advanced than current systems, which typically rely on text prompts alone.

05:00

🔄 Google's Shift from Research to AI Product Factory

Google has been undergoing a major transition from a research lab to an AI product factory, which has led to internal conflicts between the desire to prioritize safety and the push to release products. This shift has resulted in a 'brain drain', with talented researchers leaving Google for companies like Lumina and OpenAI, seeking more rapid deployment of AI technologies. Google's struggle to balance foundational research with commercialization has been highlighted by recent events, including the departure of key personnel and the underwhelming reception of Google's AI Overviews.

10:01

🎼 TikTok's Symphony: AI Suite for Content Creation

TikTok introduces Symphony, a creative AI suite designed to enhance content creation by blending human imagination with AI efficiency. Symphony is an evolution of TikTok's creative assistant, offering AI-powered tools to analyze trends and best practices to produce effective video content quickly. It includes features like AI-generated TikToks, transl for global reach with multi-language translations, and a selection of AI avatars for commercial use, aiming to break down global barriers and provide cost-effective narration for brands.

15:02

📚 Meta's Contribution to Open Source AI Models

Meta has released a plethora of open models and datasets, contributing significantly to the open-source AI community. The release includes a multi-token prediction model for faster inference, Meta Chameleon for image and text reasoning, Meta Audio Seal for audio watermarking, Meta Jasco for music generation, and Prism for enhancing geographic and cultural diversity. Meta's commitment to open science and sharing their work publicly is seen as a move to lead the open-source community and foster innovation.

20:03

🎨 Runway's Gen 3 Alpha: Advanced Text-to-Video Model

Runway has introduced Gen 3 Alpha, a groundbreaking text-to-video model that sets a new standard in video generation with its ability to create photorealistic humans. The model is part of Runway's new infrastructure for large-scale multimodal training and has been praised for its high-quality output that is difficult to distinguish from real footage. The potential applications of this technology are vast, raising questions about the future of online content and the辨别ability of AI-generated media.

🤖 Hedra Labs' Character One: Emotionally Reactive AI Characters

Hedra Labs has released Character One, a foundation model capable of generating reliable headshots and telling emotionally engaging stories. The technology stands out for its ability to animate realistic human faces, as demonstrated in a touching Father's Day message video. This development signifies a step towards more realistic and emotionally responsive AI-generated content, blurring the lines between fantasy and reality and prompting discussions about the future of digital interactions.

🚗 Tesla's AI and Optimus: Future Automation and Education

Elon Musk discusses Tesla's upcoming advancements in AI, including the integration of their AI system, Gro, into Tesla vehicles, enabling cars to perform tasks like picking up groceries. He also mentions the potential of Tesla's Optimus humanoid robot, which could be used for a variety of tasks, including education and language support. Musk predicts that AGI, artificial general intelligence, will be achieved by 2026, leading to an abundance of goods and services facilitated by AI and robots.

Keywords

💡AI Generative Technology

AI Generative Technology refers to the use of artificial intelligence to create new content, such as images, videos, or audio, that did not exist before. In the video, Google DeepMind's update on video to audio generative technology is highlighted, showcasing how it can add sound effects to silent video clips, enhancing the viewing experience by matching the acoustics of the scene.

💡DeepMind

DeepMind is a UK-based artificial intelligence company that was acquired by Google and is now part of Alphabet Inc. It is known for creating advanced AI systems. In the script, DeepMind's progress on a video to audio generative model is discussed, emphasizing its ability to generate sound for silent video clips, which is a significant development in the field of AI.

💡Multimodal AI

Multimodal AI refers to systems that can process and understand multiple types of data inputs, such as text, images, audio, and video. The script mentions Google's infrastructure for multimodal AI, suggesting that they are developing systems that can integrate various forms of data to create more immersive and realistic AI outputs.

💡AI Product Factory

The term 'AI Product Factory' is used in the script to describe Google's shift from a research-focused lab to a company that is focused on producing AI products for commercial use. This shift has implications for the pace of innovation and the approach to safety and commercialization within the company.

💡Brain Drain

Brain drain refers to the emigration of highly trained or intelligent people from a particular country or organization. In the context of the video, Google is said to be experiencing a brain drain, with many of its top researchers leaving to join other companies or start their own ventures, which could impact Google's ability to innovate in the AI space.

💡Open Source

Open Source in the context of AI refers to the practice of making the source code of AI models and tools freely available for others to use, modify, and distribute. The script discusses Meta's contribution to the open-source community by releasing a number of AI models and datasets, which can accelerate innovation and research.

💡Meta Chameleon

Meta Chameleon is a model released by Meta that is capable of reasoning about images and text using an early fusion architecture. It represents an advancement in multimodal AI, as it can process and generate a combination of text and images, which is a significant step towards more unified and efficient AI systems.

💡Text-to-Video Model

A text-to-video model is an AI system that generates video content based on textual descriptions. The script highlights Runway's Gen 3 Alpha, which is praised for its ability to create highly realistic video content, including photorealistic humans, from text inputs.

💡Photorealistic Humans

Photorealistic humans in AI refer to the generation of human images or videos that are so realistic that they closely resemble actual photographs or footage of real people. The script emphasizes the impressive quality of photorealistic humans generated by Runway's text-to-video model, noting that they are difficult to distinguish from real humans.

💡AGI (Artificial General Intelligence)

AGI, or Artificial General Intelligence, is the hypothetical ability of an AI to understand, learn, and apply knowledge across a broad range of tasks at a level equal to or beyond that of a human. In the script, Elon Musk is quoted discussing Tesla's advancements towards AGI, suggesting that it is closer than many might think and could have profound implications for various applications, including autonomous vehicles and humanoid robots.

💡AI Watermarking

AI watermarking refers to techniques used to embed a digital signature or mark into AI-generated content, allowing for the identification of such content. The script mentions Meta's 'audio seal,' a new technique for watermarking audio segments, which could be used to detect AI-generated speech within an audio snippet, raising questions about the authenticity and attribution of AI content.

Highlights

Google DeepMind's update on video to audio generative technology that adds sound effects to silent clips.

Google's AI model can generate high-quality audio prompts for various scenes, including howling wolves and drummers on stage.

The release of Google's video model, 'vo', which generates drummers hitting drums in sync with audio.

Google's shift from a research lab to an AI product factory, facing challenges with balancing safety and product release.

TikTok introduces Symphony, an AI suite to enhance content creation efficiency.

Meta's release of numerous open models to foster community innovation in AI.

Meta Chameleon, a model for joint text and image processing, and its potential impact on the AI community.

Runway's Gen 3 Alpha, a breakthrough in text-to-video models featuring photorealistic humans.

Hedra Labs' character generation model that creates emotionally reactive characters for content creation.

Elon Musk's vision for Tesla's AI advancements, including autonomous tasks and multilingual support.

Meta's commitment to open science and the release of research models and datasets to accelerate community innovation.

The potential for AI to blur the lines between fantasy and reality with advancements in character animation.

The ethical and practical implications of AI-generated content and its impact on digital authenticity.

The importance of data quality in AI model training and its effect on output realism.

The race between AI companies to release the most advanced models and the potential societal impacts.

Musk's prediction of AGI's arrival and its potential to transform abundance and service provision.

Transcripts

there were actually so many different AI

stories that I nearly wasn't able to

keep up but I'm going to show you guys

some of the most important ones because

these ones were pretty pivotal so coming

in at number one we have Google Deep

Mind actually giving us a very

fascinating update you can see that

Google Deep Mind said that we're sharing

progress on our video to audio

generative technology it can add silent

clips that match the Acoustics of the

scene accompany onscreen action and more

and here are four examples basically

what they're doing is if you have a

video that doesn't have any sound

effects you can use Google's new model

in order to add sound effects and the

theme tune behind it it's really really

cool so what I will do right now is I'll

show you a couple of the examples and

then we'll do a deep dive onto why this

is probably happening

[Music]

h

[Music]

[Applause]

[Music]

pretty fascinating about these examples

is that we can actually see the prompts

that they used as well so it takes a

combination of the prompts and then of

course the video you can see right here

prompt for audio wolf howling at the

moon then right here which I mean if you

just saw the wolf howling at the Moon

that one was pretty pretty nice it

actually sounded like a really really

high quality scene so I do think that

you know Google have you know shown us

this demo in a way that makes me believe

that this is pretty much near ready

because the limitations that they speak

about they don't seem to be that crazy

and after all this is just an audio

model then of course we had this one a

slow mellow harmonica plays as the sun

goes down on the Prairie I thought this

one was really fascinating too cuz the

sound of this one actually sounded

realistic the sound for the jellyfish

pulsating underwater marine life ocean

didn't sound as great as many other

things could be but I do think that it

was pretty decent in with regards to

what it was able to do and then of

course this one right here this is the

one that I want to talk about the most

because the prompt for the audio was a

drummer on stage at a concert surrounded

by flashing lights and a cheering crowd

so with this one the reason I liked this

one so much is because it actually

synced up to the hits of the beat so I

think that what Google have shown us

here is that considering the fact that

these output Generations if you didn't

know these were also AI generated so a

lot of the stuff that you're looking at

here like all of these Generations they

are generated by Google's in-house

system vo if you aren't familiar with vo

basically around two weeks ago Google

sort of shown us okay some more of their

capabilities of their video model and

right here you can see the video model

in action being able to generate a

drummer hitting the drum and like I said

the most impressive thing is that it

didn't just take poor representations of

what was going on in the video it

managed to actually sync up the hits

with the actual audio that the system

gave it so this is something that I

think is remarkably remarkably also do

have an additional web page right here

where they explain how generating audio

for video works so essentially they talk

about how it uses video pixels and the

text prompts in order to generate Rich

soundtracks and I think that this is

where Google actually comes over the

edge because I think Google is you know

using systems that are a little more

advanced than what we initially have

most systems that we currently have

today they only really allow us to do

text prompts and then you have have to

kind of generate as much as possible and

then hopefully they sync up to what it

is that is on screen now usually if it

is just like an acoustic scene like for

example a peaceful Meadow or a relaxing

Park where you're just hearing like

crickets or something like that those

things don't really require much

onscreen syncing but in certain

scenarios Google's process here actually

comes in very very useful so I'm

wondering what kind of creative process

Google are going to be having

because you can see that they've got vo

and they've got this and it seems that

they're building the entire

infrastructure for their multimodal AI

now if we are continuing to talk about

Google we need to talk about Google's

major shift Google recently have made a

major shift from research lab to AI

product Factory now if you remember

you've been watching the channel this is

something that I spoke about for quite

some time and I spoke about how Google

has has everything they need in order to

take on companies like chat GPT slop aai

but the problem is that they have a

situation on their hands where they're

trying to focus on safety and not push

out any products and the craziest thing

about this all is that Google Deep Mind

have been losing consistently

researchers because people wouldn't push

features out now I made a 20-minute

video on this explaining the details of

all the reasons and all the failings

that Google had but if you didn't

believe believe me this is someone who

used to work at Google that actually

went to join Luma you know how Luma just

recently released their new AI dream

machine that people can actually use for

text a video he says now you know why I

left Google to join Luma I was in the

team that developed vo early on but I

knew it would never be shipped to the

masses for quite some time the same for

Sora not until a company like Luma

forces their hand that is at least I

hope give me access so basically saying

that you know I knew that Google weren't

going to ship out anything for such a

long time so I decided to leave and of

course join Luma and remember this isn't

the first Google employee to do this

many of them have left to join open aai

many of them have left to start their

own startups so Google has had this kind

of brain drain problem where they losing

their best talent to other companies and

of course people that want to start

their own thing because they don't like

like how Google's handling this AI craze

now essentially you can see here it says

over one week in miday two companies

introduced AI products being built using

one of Google's major breakthroughs

openi of course announced the new model

that underpins chat GPT and of course

Google announced AI overviews but

remember the overviews didn't go well

which were pretty pretty embarrassing

you can see here this article continues

to State the discontentment about

pushing to too hard on commercialization

is a mirror image of the internal

critique from the last 2 years when

Google was struggling with bringing

generative AI to Consumers researchers

who wanted to ship products departed for

startups because they thought the

company was moving too slowly according

to people familiar with the lab brain

researchers have also mourned the loss

of their brand and some even welcom the

prospect of stronger leadership

basically some of them thought that look

the Google brand isn't what it used to

be and maybe we need new leadership if

someone can't navigate this AI industry

so overall this article details a few

things about how the company has

combined its two AI labs to develop

Commercial Services A Move That Could

undermine its long running strength in

foundational research so the problem is

is that Google is one of those labs that

like they are so good at doing research

and making breakthroughs like I've

already said they made the Breakthrough

that powers chat G PT but they're

thinking do we now spend more of our

time focusing on actually

commercializing some of our

breakthroughs rather than just

experimenting in the research Labs that

could potentially lead to more

interesting things overall it's a very

very hard thing it's you know very very

hard to prioritize whatever it is at a

company that you know could decide the

fate of your business for the next 10 to

20 years on one side if you don't

prioritize product people get frustrated

they're like okay we're just going to

you know all flock to chat GPT or

whatever state-of-the-art system there's

going to be but of course if you don't

make incredible breakthroughs you're

never going to get to that next level of

AI where you truly have outstanding

products that stand the test of time and

have an incredible mode it's a very hard

position for Google to be in especially

since they're a bigger company and the

problem is they don't have the newness

to be able to make mistakes and for

people to not critique them if open AI

kind of does something wrong it's like

ah they're kind of like a newer kid on

the Block but Google's a behemoth a

company that's been around for years

that has a pretty pretty impressive

reputation to uphold so it will be

interesting to see how Demis aabis and

Sundar Pai managed to work together to

get Google off the ground I do hope that

they manag to ship good products and

keep a steady hold on their research

initiatives because someone wants said

and I don't remember who said it but

they said that if there's any company

that should achieve AGI and that You'

probably trust with AGI it's most

certainly going to be Google in a bit of

strange news we have Tik Tok actually

introducing Symphony their new creative

AI Suite now I don't usually cover AI

social media tools sometimes I do but I

wanted to cover a broad range of things

that are going on in the AI industry so

basically symphony is designed to

elevate your content creation Journey

every step step of the way it basically

Blends human imagination with AI powered

efficiency now this tool is basically an

evolution of their creative assistant

it's an AI powered virtual assistant

that basically just helps you make

better videos overall so you know how

sometimes people look on social media

they'll try and find different Trends

they'll be like okay what is going on

here what are the best practices what

kind of ideas should I be making well

this is a platform that actually uses

generative a to be able to analyze all

of those things and then come up with

something very effective so you can see

right here this is the thing in action

you can see you have your product you

have the description then of course you

have the media assets then of course you

can see you're able to actually create

Tik toks that are AI driven in just

seconds you can see that once you manage

to import your content it actually

allows you create AI generated content

pretty quickly now this is relatively

different because it's not creating AI

generated content it's synthesizing your

content with AI in order to produce that

content at Mass scale so I think this is

probably the right approach because I

think if you can get content out faster

with the help of AI that helps everyone

who wouldn't want to save time but of

course people do not want AI slop on

their timelines which is why stuff like

this I guess it still works and

something that they do have as well is

that they have transl for Global reach

tell your message for audiences around

the world by translating the script and

dubbing the voice over in multiple

languages with just a few clicks this is

something that's going to bring down the

global barrier and of course they have

this a prebuilt AI Avatar selection that

allows you to use it for commercial use

so like stock photos they provide quick

accessible costeffective narration for

Brands bringing your product to Life

Next we had meta release a huge amount

of open models it was so many that it's

hard to even fathom what's going on at

meta now these aren't game-changing

models but they will change the

community a lot of times a lot of the

Community Innovations that we see are

built off the back of Open Source models

and this entire ecosystem of Open Source

development is continuing to thrive

thanks to meta take a listen to what

they had to say and then we'll dive into

some of the more intricate details of

what they released today at meta we are

sharing some of our latest research

models and data sets we've shared some

of the papers for this work but um by

sharing more of the artifacts we should

enable the community to innovate faster

and also develop new research now this

is part of our decades long commitment

to open science and sharing our work

publicly what's included in the release

today there's a multi-token prediction

model that can actually reason about

multiple outputs at a time enabling

faster inference there is meta chameleon

a model that reasons about images and

text using an early Fusion architecture

there is a meta audio seal a new

technique for watermarking audio

segments there's meta Jasco a technique

for music generation that allows better

conditioning on chords and Tempo and

there's prism a data set that enables

better diversity from Geographic and

cultural features there's a few more

things as well uh I really uh am excited

to continue our work towards open

research I look forward to seeing what

the community will build with these uh

latest artifacts and of course look

forward to sharing more with you over

time so here you can see Meta sharing

new research models and data sets from

meta fair this is pretty remarkable

stuff meta seems to be one of the only

companies backing The open- Source area

from a position of strength whilst yes

companies like Google have released

things like Gemma 7 billion parameters

and those smaller models meta are taking

a clear stand I think meta's initiative

is that they want to be the leaders in

the open source community and it makes

sense because what they've released are

things that are truly truly impressive

you can see right here they've released

meta chameleon it's a family of models

that can combine text as images as input

and output any combination of text and

images with a single unified

architecture for both encoding and

decoding so this is very very

fascinating take a look at this video

that they had on their page CU I think

meta is going to become one of the major

players that sneak up on everyone

especially since they're supposed to

release llama 3 meta chameleon is a

unified multimodal model with joint

modeling of text and images in one

Transformer it's able to perform any

combination of inle text and images and

its input and output without the need

for modality specific

modules most current late Fusion models

use diffusion based learning for image

tasks and tokenization for language

tasks built upon an early Fusion

architecture meta chameleon uses

tokenization for text and images making

for a more unified approach we believe

this approach can scale better than late

Fusion or modular models while being

easier to design and maintain

[Music]

so yeah meta have released some pretty

interesting stuff audio seal being the

first audio watermarking technique

specifically designed for the

localization of detection of AI

generated speech making it actually

possible to pinpoint AI generated

segments within a longer audio snippet

so all of these things that they

released like even the prism data set

which actually increases the diversity

of certain things I think meta is taking

a different stance you know people have

realized that you look didn't mean to do

that people have realized that look

opening eye has the llm area down meta

they're doing things that are truly

Innovative because of course they have V

jeppa if you don't know that is a unique

architecture that apparently might

actually lead us to systems that truly

understand what's going on and of course

they have the open source area where

people are going to be building upon it

and then of course we're going to get

Innovations on top of that now if you

were living under a rock you may have

actually missed one of the most

important announcements in video

generation Runway introduced gen 3 Alpha

so gen 3 Alpha is the first of an

upcoming series of models trained by

runway on a new infrastructure built for

large scale multimodal training long

story short their text to video model is

absolutely insane now I did cover this

earlier this week it was truly truly

impressive what we saw was something

that was so amazing and I think one of

the key features about Runway that you

probably should be paying attention to

is the fact that they have

photorealistic humans everything about

their system is really really good but I

have to be honest with you the photo

realistic humans genuinely looks better

than open AI Sora and that isn't some

sort of clickbait some sort of you know

exaggeration I've looked at both videos

now and every time I look at the

photorealistic humans that comes from

Runway I struggle to see any true issues

with the quality of the content in terms

of just the you know nature of how it

looks like it does look extremely

realistic and I still struggle to

believe that what I'm looking at is

truly text a video so yeah it's pretty

strange that right now we have text a

video that's so high quality and there

aren't any any imperfections that would

make you think otherwise but this thing

is truly truly impressive with as to

what it's able to do because I mean like

I said before I just can't see enough

mistakes in these clips for me to

realize that it's AI generated whereas

with other models you can actually see

that so I would argue that this AI

system with the photo realistic humans

which is a special feature that they

decided to train on I'm guessing that

whatever kind of training mechanism they

used for this one they had a lot of high

quality data sets and as we know data

definitely affects the output so with

this right here what we can see is that

Runway is going to be the leader in

terms of these photorealistic humans and

I think it's also going to be pretty

fascinating because this marks a new

stage where not even I can tell if

something is AI generated and for sure

I'm going to be questioning nearly

everything I see online especially when

there's a HD video of a human human

because I'm not going to be able to know

if that is real or if it is AI generated

now unfortunately with Runway we don't

actually have access to this yet it does

look very very interesting and very very

effective as it's able to cover a wide

range of styles and it's able to

essentially merge things that haven't

been merged before in a very effective

way so it will be interesting to see who

releases first will it be Runway will it

be Sora I mean we've got a very

fascinating you know few months for the

rest of the year in terms of what the

releases are going to be like and of

course in terms of AI development so it

will be interesting to see what kinds of

models do come out of this area now in

AI video news we got introducing the

research of our foundation model

character one available today at hr.com

basically this is something that can

actually do reliable head shot

generation tell stories that if you

didn't know before this is something

that AI particularly struggles with and

we've seen that AI systems have been

able to do this with Microsoft Versa one

but hedra have gone ahead and of course

released this for the public to use for

free it's something that's going to

allow Next Level content Creation with

emotionally reactive characters now

there is one example that I want to show

you that shows you how crazy this is

because it's pretty pretty incredible

with as to what you can can do with this

kind of Technology let me show you you

can see here uncanny Harry AI says meet

my mate Dave he's had a belated Father's

Day message for everyone sound on please

I made Dave on Father's Day with a mid

Journey image and 11 Labs voice to voice

and a new tool called hedra Labs it's

the closest thing to acting that I've

seen from an AI generated video and out

of all the examples even the one on

hedra's page this by far seems like the

most interesting example that I've seen

so far my old dad he was old school you

know British stiff up a li he loved me

and I loved him but we didn't talk about

it much didn't have that sort of

relationship so when he got to cancer

and my mom was looking after him I'd see

him but I always thought I'd had time

one day I got the call and I rushed to

the hospital I was going to tell him

everything but it was too late he'd

already passed we never got the chance

to tell him thank you for being a good

dad thank you for teaching me how to be

a good dad thank you for teaching me how

to be a man thought dad still land go

and tell him now that you love him

before it's too late so yeah that is

pretty pretty incredible I mean if we

look at how the face is moving how the

skin is folding it just looks remarkably

impressive and it doesn't just look like

they've isolated the face you can also

see that the the rest of the area is

moving as well so this is a truly truly

pivotal moment because I think maybe

they're going to have cartoon versions

be a lot more realistic because of

course of course if you could just put

in any realistic human's face and it be

able to animate it it's going to present

a lot of issues and maybe even there

could be some liability for hedra

themselves so this is the kind of

technology that starts to blur the lines

between fantasy and reality and this

also brings the question what kind of

things do you think people are going to

be in the future when we are actually

looking at these kinds of content if we

can imagine a stage where AI gets to the

level where the latency drops down to

let's say a few milliseconds are we

going to be interacting with humans or

these things over the internet that are

basically digital twins something to

think about and for the last clip we

have Elon Musk talking about Tesla's new

announcements and of course his AGI

revised date Tesla so you'll be able to

access Gro through Tesla through your

Tesla and you also be able to ask it to

do whatever you want you could uh ask

your car to go go pick up uh a friend or

anything you can think of it it'll the

car will be able to do it yeah you'll be

able to ask your Tesla to go pick up

groceries pretty much anything op

Optimus is really going to be next level

you'll be able to uh skin Optimus in a

wi you know pretty much with anything so

people on the internet have asked me to

make cat GS real and actually you can

make cat gills real if you you have a

robot you have a robot catg yeah Optimus

will will be able to pick up your kids

from school and Optimus will be able to

be school if you want be able to teach

kids anything yeah it'll support any

language too I think AI will be next

year probably it's not next year it's I

say

2026 at the latest for AGI at the latest

oh hope it's nice to us so when defines

AGI is uh smarter than any human I think

it's we're less we're less than 24

months away from that yeah please be

nice to us AI humanoid robots will user

in a level of abundance that was hard to

hard to imagine there will be no

shortage of goods and services