AI News: The AI Arms Race is Getting Insane!

Summary

This week in AI saw major announcements from Google and OpenAI, with Google's Gemini 1.5 becoming available in 180 countries and OpenAI's GPT-4 Turbo model improving at coding and math. New large language models were released, including Stability AI's non-commercial Stable LM2 and ML's Mixr 8X 22b. Meta is also on the verge of releasing Llama 3, an open-source model. Additionally, companies are developing AI chips to reduce reliance on Nvidia GPUs, and there's a push for AI companies to disclose their training data. In the world of AI music, Udio is gaining support from musicians, and Spotify is testing AI-generated playlists.

Takeaways

• 📢 Google's Cloud Next event in Las Vegas featured numerous AI-related announcements, with a focus on enterprise and developer tools.
• 🌐 Google made Gemini 1.5 available in over 180 countries, offering a 1 million token context window for advanced language understanding and audio processing.
• 🎥 An example of Gemini 1.5's capabilities includes analyzing an hour-long audio file to provide key takeaways and generate YouTube video titles and thumbnails.
• 🤖 OpenAI announced a significantly improved GPT-4 Turbo model, which is now available through the API and has shown better performance in coding and math tasks.
• 🚀 Stability AI released Stable LM2, a 12 billion parameter model that can be used both non-commercially and commercially with a membership.
• 🌟 ML released a new large language model using a mixture of experts architecture, featuring 176 billion parameters and a 65,000 token context window.
• 🔥 Google introduced new versions of their open-source large language model, Gemma, tailored for coding and efficient research purposes.
• 🐫 Meta is close to releasing Llama 3, an open-source model expected to be as capable as GPT-4, with multiple versions for different use cases.
• 💰 Tech companies like Google, Intel, and Meta are developing their own AI chips to reduce reliance on Nvidia's GPUs, which currently dominate the AI training market.
• 🎶 AI music generators like Udio are gaining popularity and support from musicians, offering a platform for creating music with AI assistance.

Q & A

What is the main focus of the AI news in the spring of last year?

The main focus of the AI news in the spring of last year was the ramping up of announcements related to new large language models becoming available, as well as the developments in AI technology by major companies like Google and OpenAI.

What significant announcement did Google make at their Google Cloud Next event in Las Vegas?

At the Google Cloud Next event, Google announced the availability of Gemini 1.5 in over 180 countries with native audio understanding system instructions and JSON mode, among other features.

What is the context window of Gemini 1.5 and how does it compare to other models?

Gemini 1.5 has a context window of 1 million tokens, which is significant because it allows for a much larger amount of input and output for the model to work with, providing a combined 750,000 words for interaction.

How did Bill use Gemini 1.5 to enhance his YouTube content creation?

Bill used Gemini 1.5 to analyze an hour-long audio file from a video interview, generate key takeaways, suggest high click-through rate YouTube titles based on principles of Daryl EES and top YouTube creators, and even provide feedback on which thumbnail to use for the video.

What is the difference between GPT-4 Turbo and the previous model in terms of capabilities?

GPT-4 Turbo is an improvement over the previous model with enhanced capabilities in coding and math, and it is updated through December 2023. It is also considered the strongest and most powerful model according to the chatbot Arena.

What is the open-source model released by Stability AI and how does it compare to Mixl 8X 7B model?

Stability AI released Stable LM2, a 12 billion parameter model that slightly underperforms the Mixl 8X 7B model. It can be used both non-commercially and commercially, but commercial use requires a Stability AI membership.

How did Mistol release their new large language model and what are its specifications?

Mistol released their new model, Mixr 8X 22b, through a torrent link. The model features a 65,000 token context window and a total of 176 billion parameters, with eight experts each having 22 billion parameters.

What is the significance of the new large language models released by Google and Meta?

Google released new versions of Gemma, their open-source large language models, focused on coding and efficient research. Meta is close to releasing Llama 3, an open-source model expected to be as good as GPT 4, available for anyone to use and build upon.

What are the implications of the new AI chips introduced by Google, Intel, and Meta in relation to Nvidia's dominance in the GPU market?

Google, Intel, and Meta are all developing their own AI chips to reduce reliance on Nvidia's GPUs. While Nvidia currently leads the market, these companies are attempting to catch up and provide alternative options for AI model training and development.

What is the controversy surrounding AI companies and their use of copyrighted material for training?

There is a debate over the use of copyrighted material for training AI models. A new bill has been introduced to Congress that would force AI companies to reveal the copyrighted material used in training their generative AI models. This is due to concerns over data privacy and the ethical use of content.

How is Adobe approaching the acquisition of training data for their AI models?

Adobe is taking a different approach by offering to purchase video content from creators for their AI training data. They are willing to pay between $3 to $7 per minute for everyday video footage, which is a shift from the traditional method of data acquisition.

Outlines

00:00

🚀 Google Cloud Next and AI Announcements

The paragraph discusses the recent Google Cloud Next event in Las Vegas, highlighting new AI-related announcements. Google introduced Gemini 1.5, which is now available in over 180 countries with advanced features like a 1 million token context window. The video also mentions the use of Gemini 1.5 by a content creator for packaging a long video interview for YouTube, showcasing its capabilities in generating key takeaways and suggesting high click-through rate titles. Additionally, OpenAI's GPT-4 Turbo model received a mention, which is an improvement over the previous models and is now considered the most powerful by the Chatbot Arena community. The paragraph emphasizes the importance of these AI models and their potential applications in various fields.

05:01

🌐 New Large Language Models and AI Developments

This paragraph delves into the release of new large language models, including Stability AI's stable lm2, which is a 12 billion parameter model, and Mixture of Experts models from ML. The open-source community is also making strides with the release of a new model via a torrent link, Mixr 8X 22b, which features a 65,000 token context window and a total of 176 billion parameters. Furthermore, Google has released new versions of their open-source large language model, Gemma, including one tailored for coding and another for efficient research. The paragraph also mentions Meta's upcoming release of Llama 3, an open-source model expected to rival GPT-4 in capabilities.

10:03

💡 AI Chip Innovations and Video Generation Models

The focus of this paragraph is on the efforts of major tech companies to reduce their reliance on Nvidia GPUs for AI training. Google, Intel, and Meta have all introduced their own AI chips, such as Google's Axion processors, Intel's gouty 3 AI chip, and Meta's MTI accelerator. These developments aim to improve performance and efficiency while reducing costs. The paragraph also touches on Google's new image generation model, Imagen 2, which can create short animations and GIFs, and other AI-generated video innovations like Magic Time, which specializes in timelapse videos. The advancements in AI chip technology and video generation models underscore the rapid progress in the AI field and the increasing competition among tech giants.

15:04

🎶 AI in Music and the Future of Content Creation

This paragraph covers the emergence of AI in music generation, with platforms like Udio gaining popularity. Udio allows users to create music by providing prompts, style suggestions, and even AI-generated lyrics. The paragraph also mentions Spotify's new AI-driven playlist feature. In the realm of content creation, Adobe's initiative to purchase video content for training their AI models is highlighted, as well as Meta's efforts to identify AI-generated images using their own AI detection system. The discussion emphasizes the growing role of AI in creative industries and the potential for AI to transform content creation and consumption.

20:05

🤖 AGI Predictions, AI Ethics, and AI-assisted Art

The paragraph begins with Elon Musk's prediction of achieving AGI within the next year or two, contrasting with Yan LeCun's view that current large language models will not reach human-level intelligence. It then shifts focus to the potential of Meta's self-supervised learning architecture, V Jeppa, to achieve AGI in the future. The Humane pin, a device designed to replace smartphones, receives critical reviews for its impracticality and high cost. The paragraph also discusses the use of AI in art, specifically an AI-assisted artist who was paid $90,000 for generating card art, and the importance of human intervention in refining AI-generated concepts. The discussion concludes with the launch of the Next Wave podcast, which aims to delve deeper into AI topics and features various guests to provide insights into the AI world.

25:06

🎉 Launch of the Next Wave Podcast and AI Tools

The final paragraph announces the launch of the Next Wave podcast, a platform for deeper discussions on AI topics, ethics, and implications. The podcast, produced by HubSpot, offers a more in-depth conversational format compared to the video content. The paragraph also promotes the podcast's competition, which includes giveaways such as Apple Vision Pros, and encourages viewers to subscribe, like, and review the podcast. Additionally, the speaker highlights his own AI-focused newsletter and website, futur tools, which curate the latest AI tools and news, and provides an AI income database for subscribers. The paragraph concludes with a call to action for viewers to engage with the content and stay updated with AI developments.

Keywords

💡AI News

AI News refers to the latest developments and announcements in the field of artificial intelligence. In the video, the host discusses various AI-related news, highlighting the significant advancements and updates from companies like Google and OpenAI, which are central to the theme of AI progress and innovation.

💡Google Cloud Next Event

Google Cloud Next Event is a conference where Google makes new announcements related to its cloud services and technologies. The video mentions this event as a platform where Google announced updates on AI models and other cloud-related technologies, emphasizing its relevance to enterprise and developers working with AI.

💡Large Language Models

Large Language Models are advanced AI systems designed to process and understand large volumes of language data. The video focuses on the release of new and improved language models like Gemini 1.5 and GPT-4 Turbo, which are significant for their enhanced capabilities in processing text and generating responses.

💡Gemini 1.5

Gemini 1.5 is a specific AI model mentioned in the video that has been made available in over 180 countries with features like native audio understanding and a 1 million token context window. It represents a leap in AI's ability to process and generate extensive amounts of text, which is crucial for various applications like content creation and data analysis.

💡OpenAI

OpenAI is a research organization that develops and releases AI models with the aim of promoting the understanding and ethical use of AI. In the context of the video, OpenAI's announcements and models, such as the improved GP4 Turbo, are compared with Google's offerings, showcasing competition and progress in the AI industry.

💡Stable Diffusion Model

The Stable Diffusion Model is an AI model released by Stability AI, which is designed to generate images from textual descriptions. The video discusses the release of Stable LM2, a 12 billion parameter model, which is significant in the open-source AI community and represents ongoing advancements in generative AI.

💡Meera Model

The Meera Model, or Mixr 8X 22B as mentioned in the video, is a large language model from Mistral that features a 65,000 token context window and a total of 176 billion parameters. It is highlighted as a potentially powerful open-source model, indicating the rapid growth and capability expansion of AI models.

💡AI Music Generator

An AI Music Generator is a tool that uses AI to compose music based on given prompts or styles. The video mentions Udio, a platform supported by musicians and investors, which generates high-quality music that is often indistinguishable from human-composed music, demonstrating the creative potential of AI.

💡Humane Pin

The Humane Pin is a wearable device that projects a display onto the user's hand and responds to voice commands, intended as an alternative to smartphones. The video discusses the mixed reviews of the device, noting its current impracticality and the challenges it faces in replacing traditional smartphones.

💡AGI (Artificial General Intelligence)

AGI, or Artificial General Intelligence, refers to highly autonomous systems that possess the ability to perform any intellectual task that a human being can do. The video cites differing opinions on when AGI might be achieved, with some predicting it to be within a year and others suggesting that current large language models will not reach human-level intelligence.

💡AI Image Generation

AI Image Generation is the process of creating images using AI algorithms. The video discusses Meta's efforts to identify AI-generated photos using their own detection systems, as well as Adobe's approach to purchasing video content to train their AI models, highlighting the ethical considerations and practical applications of AI in creative fields.

Highlights

Google's Cloud next event in Las Vegas featured numerous AI-related announcements, emphasizing the growing importance of AI in enterprise and development sectors.

Gemini 1.5 was launched in over 180 countries with enhanced capabilities such as a native audio understanding system and JSON mode instructions.

The Gemini 1.5 model boasts a 1 million token context window, allowing for extensive input and output interactions, equating to 750,000 words in total.

An example of Gemini 1.5's practical application includes analyzing an hour-long audio file to generate key takeaways and suggest YouTube titles based on content analysis.

OpenAI's announcement of the significantly improved GPT-4 Turbo model, available through the API, has sparked interest despite being somewhat overshadowed by Google's announcements.

Stability AI's release of the 12 billion parameter model, Stable LM2, demonstrates the ongoing growth in the open-source AI realm.

ML's release of a new large language model using a mixture of experts architecture, Mixr 8X 22b, features a 65,000 token context window and a total of 176 billion parameters.

Google's release of new versions of their open-source large language models, Gemma, includes one tailored for coding and another for more efficient research purposes.

Meta is reportedly close to releasing Llama 3, an open-source model expected to rival GPT 4 in capability and be publicly available for use and development.

The competition between companies to develop AI chips is heating up, with Google, Intel, and Meta all seeking to reduce reliance on Nvidia's market-leading GPUs.

Google's Imagen 2 model represents their foray into AI image generation, capable of producing animations and GIFs from text prompts.

Adobe's unique approach to AI involves purchasing video content from creators to train their large language models, offering a potential revenue stream for content creators.

The introduction of a bill to Congress aiming to force AI companies to reveal the copyrighted material used in training their generative AI models could have significant implications for the industry.

Udio, an AI music generator, is gaining support from musicians and investors alike, showcasing the potential for AI in creative fields.

Spotify's new AI-driven feature allows users to generate playlists based on prompts, further demonstrating AI's infiltration into everyday applications.

Elon Musk's prediction of achieving AGI within the next year and a half contrasts with Yan LeCun's skepticism about large language models reaching human-level intelligence.

The Humane pin, a device designed to replace smartphones, has received unfavorable reviews, highlighting the challenges in creating practical and user-friendly AI technology.

A card game developer's use of an AI artist to generate card art for $90,000 illustrates the growing potential and commercial viability of AI-assisted creativity.

The launch of the Next Wave podcast offers a platform for in-depth discussions on AI, providing valuable insights and perspectives on the latest developments in the field.

Transcripts

so just like spring of last year AI news

is really ramping up there has been a

ton of announcements this week I'm

really having to figure out what stuff

to filter down that I think you'll find

important because at the end of the day

nobody really cares that like Walmart

got a new AI chat bot or something so

I'm going to break down the stuff that I

found important interesting or just

downright fun that I think you're going

to enjoy so let's get right into

[Music]

it this week Google had their Google

Cloud next event out in Las Vegas where

they made a ton of new announcements

plenty of them related to AI more of the

announcements were more relevant to like

Enterprise and developers that are

building with AI models but there were

some pretty interesting and fun

announcements that I think you'll enjoy

as well so I'll be kind of sprinkling

them throughout this video the real

story of this week is all of the news

about new large language models becoming

available or soon coming available ing

Google's event this week they announced

that Gemini 1.5 is now available in 180

plus countries with Native audio

understanding system instructions Json

mode and more now we have talked about

Gemini 1.5 in the past but most people

haven't had access to it until now of

course the biggest Factor about Gemini

that people are most impressed by is the

fact that it's got a 1 million token

context window now one token just to

refresh your memory is about 75% of a

word so 1 million tokens means that

between the input that you can give the

model and the output it'll give back you

have a combined

750,000 words to work with Gemini 1.5 is

now available via the API so if you're a

developer and you want to build with

this model it's now available for you my

buddy bill of Al do here has probably

one of the best examples that I've seen

of somebody actually using Gemini .5 he

shows an example here where he says I

just dropped in an audio file of an

hourong video interview and now it's

helping me package it for YouTube we can

see in his screenshots here he actually

uploaded the MP3 file told it to analyze

this audio recording for his interview

he then asked it to give the key

takeaways and come up with 10 high

click-through rate YouTube titles based

on the principles of Daryl EES and top

YouTube creators keep each title to 50

characters or less so from this audio

file it then gave them the key takeaways

he also offered it two thumbnails and

said which of these thumbnails is better

suited for this YouTube video it

analyzed the two thumbnails and gave

feedback on which thumbnail to use and

then once he picked the thumbnail he had

it suggest the 10 titles and it gave

some pretty decent titles now that's all

pretty cool we can kind of do that with

Claude right now the difference is he

uploaded an audio file and it did this

from the audio file with Claude you

would actually have to get the text

transcript upload it and you would

pretty much get the same end result most

likely where I thought this was the most

impressive was when he asked it to

generate timestamps and you can see it

actually recommended these timestamps

with an explanation of each of the time

stamps and then there is a shorter

version of the timestamps that it also

generated this to me is really

impressive because I've tried to use

Claude and I've tried to use chat jpt to

generate timestamps for these videos

that you're watching right now while it

gets the various sections right and it

knows what I'm talking about in the

video

it just completely gets all the timings

wrong and struggles to give an accurate

timestamp to the actual chapter this

example that billal shared is really

really useful in my opinion but as open

AI does every single time Google makes

an announcement they come out with their

own announcement in most of the past

scenarios open ai's announcement really

overshadowed Google's announcement but

this time we just got a vague

announcement of a majorly improved gp4

turbo model is now available in the API

and rolling out inside of chat GPT we

don't have a ton more details than that

but if we take a look here at the openai

documentation we can see we've got the

newest model here gp4 turbo and this is

the April 9th edition of it Vision

request can now use Json mode and

function calling it's got the same

128,000 tokens we've been working with

and it's updated through December 2023

which is also what the previous model

was updated through supposedly this new

model is a lot better at coding and also

a lot better at math and for a while L 3

Opus was the cream of the crop the best

model out there but it seems now that

according to the chatbot Arena here the

newest version of GPT 4 Turbo the April

9th Edition now took over Claude 3 Opus

again as the strongest most powerful

model as voted on by the people that

rank this system here now they do show

Gemini Pro down here as being below

Claud and GPT 4 Turbo but I don't

believe I'm not 100% sure but I don't

believe that this is taking into account

the newest 1.5 model but that's not the

only news we've gotten in the world of

new large language models the open

source world is continuing to heat up as

well in fact stability AI released

stable lm2 which is a 12 billion

parameter model and according to most

benchmarks it just underperforms the

mixl 8X 7B model and although they kind

of make it out to be like an open-source

product it does say it can be used

non-commercially as well as commercially

but if you have a stability AI

membership so if you do want to use it

commercially you got to pay which

doesn't feel very open source to me well

ml said hold my beer and watch this

releasing a new large language model

using the mixture of experts

architecture but they released it in an

interesting way they released it as a

torrent link directly on X with almost

no context in order to actually download

the weights for this model you would

need a torrent downloader something like

views and then if you paste this URL

into your address bar it will start the

download over inside of your torrent

downloader however be aware it is a 281

gigabyte file now I don't have a ton of

information about this new model from

mistol however in the rundown newsletter

they gave us a little bit more details

this week according to Rowan over at the

rundown the new model is Mixr 8X 22b so

the previous model was 8X 7B so it was

eight separate models that the router

called upon to get the prompt answered

and each of the models that it was

calling upon was a 7 billion parameter

model each this new one has eight

experts but each expert instead of being

a billion parameter model is now a 22

billion parameter model so it was just

trained on a lot more data according to

this breakdown the new model features a

65,000 token context window and a

combined total of 176 billion parameters

I haven't used this model yet myself

channels like Matthew burman's channel

does a really really good job of testing

these large language models I have a

feeling that this one is going to be the

strongest open-source model once some

more of the tests come out around it but

we have even more large language Model

news even more coming from Google Google

released Gemini 1.5 their closed Source

model but they also rolled out new

versions of Gemma which is Google's

open- Source large language models these

two new models are code Gemma a model

fine-tuned for using with coding and

recurrent Gemma which is designed for

more efficient research purposes now all

of the Articles and resources I make in

this video I will share in the

description below so if you do want to

dive deeper into how these Gemma models

compare on the benchmarks against other

models check out the links below but

overall Gemma appears to be pretty on

par with the other open-source coding

specific large language models and in

the final bit of large language Model

news we also learned this week that meta

is really close to releasing llama 3

llama 3 is expected to be roughly as

good as GPT 4 but open source and made

publicly available for anybody to use

and fine-tune and build on top of now

they did say with llama 3 they were

going to release several different

versions of the model it kind of sounds

like what Claude did with Haiku Sonet

and Opus there will be different models

sort of more fine-tuned for different

reasons that's my takeaway from this as

well according to Tech crunch they

announced that this is coming out

sometime within the next month hopefully

sooner so really looking forward to that

because I truly am rooting for both the

open source and the closed source side

to keep on pushing the boundaries and

each side is just making things better

and better for us the consumers now I

know a lot of people that watch this

channel have small to medium businesses

and they're looking to use AI to improve

their marketing and their business

that's why for this video I partnered

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this and once again the link should be

right at the top of the description to

make it easy for you to find now if the

main story of the week was all of the

large language models that have come out

this week the sort of B story of the

week the Side Story is it seems that all

of these companies that are building

these large language models are all

trying to release the Reliance on Nvidia

gpus at the moment Invidia owns the

market on gpus being trained for AI but

Google Intel and even meta are all

trying to bring that chip generation

inhouse and stop giving so much money to

Nvidia at the Google Cloud next event

this week Google introduced their Axion

processors Intel introduced their gouty

3 AI chip which is apparently a 40%

better power efficiency than nvidia's

h100 gpus and meta announced a chip as

well this new chip is called an

MTI or meta training and inference

accelerator this is the second

generation of the Chip and according to

meta article here it is three times

improved performance over the first gen

chip now again I will link to all these

articles that talk about all of these

chips that were announced this week

because a lot of this sort of technical

stuff here is a little bit over my head

I don't personally understand how these

chips work but if you're somebody that

wants to Deep dive and truly understand

what makes these chips better than

what's available feel free to read the

articles in the description however back

at Nvidia GTC earlier this year Nvidia

announced their next iteration the

Nvidia Blackwell which is supposedly

already four times more powerful than

the h100s again the chip that is sort of

the industry standard for training AI

models right now so while all these

companies are making their own chips to

release Reliance on Nvidia Nvidia is

still way out ahead with their latest

generation of chips making it extremely

hard for these other companies to catch

up with the compute power that Nvidia is

producing right now also during the

Google next event Google revealed image

in 2 this is sort of like Google's

answer to open ai's dolly or adobe's

Firefly it's their own internal AI image

generation model however what makes

image in 2 different than tools like

Dolly and Firefly is that it can

actually generate animations it can

generate GIF files or GIF files however

you like to say it here's some examples

of the types of animations that it will

make you know similar to what we get out

of like Pika or Runway but these are

very short to 3 second clips and they

seem to be designed to just make like

short Loops or like little GIF GIF files

they described it as text to live image

so if you use an iPhone you've got that

live photo feature where when you take a

photo it sort of saves like two seconds

of video as well so that you can find

that right spot in the photo it

seemingly is designed to generate that

kind of little tetiny short clip that

wasn't the only video announcement that

they made at this event they also

revealed Google vids now this is

something that we don't have a lot of

information about they put out a little

like teaser video it's a minute and 27

seconds here and it appears to make

videos that look almost like PowerPoint

Style videos using AI says let's choose

a style and then you can see the styles

of the videos Almost look like you know

something you'd get out of canva or

PowerPoint or keynote or something like

that you pick your style you can give it

a script or let AI generate a script and

then it creates like a slide

presentation Style video very

reminiscent of like a PowerPoint or

Google slides video again not available

yet but it does say coming soon to

Gemini for Google workspace but here's

some research that came out this week

about a new video generator it's called

Magic time and it makes timelapse videos

this one is very specific to time lapses

so you can see some differences here

where a prompt given to a normal

animated video like bean sprouts grow

and mature from seeds generate something

like this where this magic time style

generates this like timelapse version or

Construction in a Minecraft virtual

environment this one shows almost like a

drone rotating view around it where

magic time is making this time lapse and

you can see a couple other examples here

again it makes a very specific type of

video which is amazing for people like

me who love to make videos cuz I can use

stuff like this for b-roll their GitHub

page which will be linked below has a

lot of examples of the type of

animations it can do but the coolest

part is the code is available on GitHub

so if you know what you're doing you

could run it locally or on a cloud but

they also have a hugging face demo that

you can play around with right now but

for now let's take a peek at one of

their like cached models here so I'll

click on this and this was a prompt of

cherry blossoms transitioning from

tightly closed buds Etc and if I play it

that's what that looks like and since

we're talking about video if you

remember last week I talked about how

Neil Mohan the CEO of YouTube said that

if open AI trained on their videos that

would be a clear violation of their

policies their terms well according to a

report from The New York Times open AI

transcribed over a million hours of

YouTube videos to actually train gp4 now

there hasn't been a ton of confirmation

if you read the article it's a lot of

hearsay and Google claims to have looked

at the robots. text file on you YouTube

and saw that open AI probably was

scraping data but there was no real

actual confirmation but pretty soon we

could have a law that forces the AI

companies to reveal what the models were

actually trained on so there was a new

bill introduced to the Congress on

Tuesday that intends to force artificial

intelligence companies to reveal the

copyrighted material they use to make

their generative AI models the bill

would actually Force companies to file a

report about what copyrighted material

they used at least 30 days before

actually releasing that AI model no clue

whether or not something like this will

get past but seeing as how some of the

biggest companies in the world namely

Google Microsoft and meta may not want

to reveal what data they actually

trained on and being as powerful as they

are I would imagine there could be some

lobbying going on behind the scenes to

keep bills like this from getting past

but I'm just speculating here Adobe on

the other hand is taking a completely

different approach they're actually

willing to buy data off of creators to

train on for their large language models

Adobe wants to create their own version

of Sora and in order to do that they

need a large amount of video training

data well in order to get that video

training data Adobe is offering to pay

between $3 per minute and $7 per minute

to purchase video content off of

creators Adobe is looking for everyday

things like people riding a bike or

walking down the street or the types of

things you'd see in normal stock video

so if you like to go out into the world

and film stock video footage you might

be able to make some extra money by

submitting it to Google and letting them

pay you a few bucks per minute of video

I think if a bill like we just looked at

does end up getting passed this is

probably the way of the future for how

these large language models will get

trained meta also announced this week

that they're going to take stronger

measures to identify AI generated photos

basically when people upload photos to

places like Facebook Instagram or

threads meta is going to use their own

AI detector to look for things that are

commonly present in AI photos and try to

identify when the photo or image was

made with AI previously meta was able to

label photos that was made with their

own emu AI image generator as well as

identify AI photos that the uploader

specifically marked as AI but now it

appears that they're actually going to

use AI to try to spot AI another big

story of the week was udio udio is a

really really good AI music generator

you give it a prompt you can suggest

Styles you can decide whether you want

to write your own lyrics have ai

generate lyrics omit lyrics Al together

and the outputs are really good like a

lot of songs I've heard I would not have

known that they were AI unless somebody

told me that they were AI they are that

good now I'm not going to go too deep

into udio in this video because the

video that I released the day before

this video went live was all about AI

music generators with a very heavy focus

on udio so if you really want to learn

about udio check out this video here but

one really interesting thing about udio

before I move on is that it's actually

being supported by other musicians

musicians like will IM and common and it

has backing from people like the

co-founder and CTO of Instagram and the

head of Gemini at Google and a16 is

backing it so lots of money getting

pumped into this and musicians actually

seem to be supporting this platform so

something really interesting to watch

here and since we're on the topic of AI

music Spotify is rolling out a new

feature where you can have it generate a

playlist for you using AI you just give

it a prompt like I need pump up music

for the gym and it'll make a playlist of

songs it thinks is pump up music for the

gym or I need sad music because I'm

painting a sad picture and I want to

hear sad music and it will generate a

list of sad music for you nothing super

mind-blowing or groundbreaking but I

thought I'd share since we're on the

topic of Music anyway now let's talk

about AGI for a second Elon Musk thinks

it's coming within the next year in an

interview on an xas Elon Musk said that

artificial intelligence will be smarter

than the smartest human probably by next

year or by

2026 so sometime within the next year

and a half he believes we're going to

essentially have AGI Yan laon one of the

Godfathers of AI and meta's cheap AI

scientist thinks otherwise he believes

that large language models will never

actually reach human level intelligence

in his article he doesn't actually say

that he doesn't believe that AI can't

reach human level intelligence he just

doesn't believe that large language

models the current standard that we're

using for AI right now isn't going to

reach human level intelligence back in

February we talked about how meta is

working on V jeppa this is meta's new

architecture for self-supervised

learning this is the technology that Yan

laon actually believes will at some

point hit human level intelligence this

week the much anticipated Humane pin

started getting into the hands of

consumers if you don't remember it's a

little pin device that goes on your

shirt it has a little projector that can

project things onto your hand it has a

camera it has a microphone so it listens

to voice commands and it's designed TR

to be sort of a replacement for a

smartphone and so far the reviews

haven't been super favorable here's a

quick recap as of right now the Humane

pin is an incredibly poor proposition so

no I can't recommend the AI pin in the

form in which I received it I can't

imagine a world or a use case where

someone would prefer this over what

already exists the pin is not worth the

money not yet and probably not anytime

soon you definitely should not buy

planning to replace your phone now the

biggest complaints about the Humane pin

were that it really doesn't do anything

beneficial over your smartphone people

complained about holding up your hand

like this to get through menus and stuff

actually gets fairly tiring on your

hands they also said that in bright

light you can barely see the projection

so it's hard to use people complained

that the gestures were confusing and

complicated there's no privacy if you

are actually trying to prompt it you

have to speak speak out your prompts so

in public it just feels awkward to be

talking to a little computer on your

chest but the biggest complaint that

everybody made about it was that it is a

$700 product with a $24 per month fee

and then if you ever cancel that $24 per

month fee the product just stops working

it's a paper weight saying that every

single person that talked about the

Humane AI Pin said that they thought

that the technology was really really

cool just not very practical or usable

yet and that it still might get to

something that people actually want that

could replace a phone it's just nowhere

close yet finally I thought this one was

a kind of fun article about somebody

making a lot of money using AI a card

game developer paid an AI artist

$90,000 to generate card art because no

one was able to come close to the

Quality that he was delivering now I

have a little bit of an issue with them

saying they're an AI artist cuz I think

the better term is AI assisted artist I

don't actually know if like an AI artist

is a thing because if you're just

pressing a button and letting AI

generate the output I don't really feel

like you are much of the artist however

I do really appreciate AI assisted art

where these cards here somebody

generated the images for every single

card using AI but then they went and

touched it up using Photoshop or

whatever image editing tool they use to

make sure that the colors the

consistency of the characters all the

Styles matched there wasn't extra

fingers all the weird stuff that we get

with AI they actually had to manually go

in and fix so AI generated the initial

sort of rough draft of the image but

then the artist actually then went and

made it into what the card designer

wanted AI helped them make a lot more

images at scale but the artist still had

to do work on all of the images so it's

more AI assisted art not really AI

generated art I don't know that's a

little bit of a soap box I'll step off

it now I just thought it was really cool

that somebody was using an AI art

generator to make the initial concept

then they cleaned it up with Photoshop

they did this at scale and earned

$90,000 from the company that hired them

to do this and finally the last

announcement this is more of a selfish

announcement but our podcast the next

wave is officially launched you can find

the first episode that we did with our

vend from perplexity it is available on

YouTube Spotify Apple podcast anywhere

you listen to podcast I highly recommend

the YouTube version because the editors

did an amazing job of putting some cool

graphics and overlays on it it's a

really fun video to watch but if you're

driving going for a workout doing

whatever you do and you like to listen

to audio podcasts it is available in

pure audio form as well HubSpot who yes

is the sponsor of today's video but is

also the producer of this podcast is

doing a really cool competition they're

giving away Apple Vision pros and all

sorts of cool stuff for subscribing

liking reviewing doing all of that kind

of stuff with the podcast I don't have

all the details on the competition yet

make sure you subscribe to the podcast

and like it and maybe leave a review and

the good people at HubSpot could

potentially hook you up it's not to

mention I might be a little biased but I

also think the podcast is really good

with videos like this I spend a very

short amount of time time per topic with

something like the next wave podcast me

and my co-host Nathan Lans we get to

Deep dive have longer form conversations

talk more about the ethics and the

implications and the long-term timelines

that we see with this technology so it

really gives us that platform to go much

longer much deeper and bring on really

amazing guests who could help us and you

better understand the stuff that we're

talking about in this crazy fast-paced

AI world that we're in that's my pitch

for the podcast check it out I'll make

sure again it's linked up in the

description it's called the next wave

podcast I really think you're going to

enjoy it and that's all I got for you

today if you haven't already check out

futur tools. where I curate all the

latest and coolest AI tools all of the

most interesting AI news that I come

across and I have a free newsletter

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just the coolest tools and the most

important AI news that I come across and

if you sign up you get free access to

the AI income database a cool database

of interesting ways to make money with

all of these various AI tools I'm going

to have to add recording video for AI

training for Adobe to the list pretty

soon but check it all out it's over at

futur tools. if you like videos like

this you want to stay in the loop with

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all that good stuff make sure you like

this video subscribe to this Channel and

I'll make sure it keeps on showing up in

your YouTube feed thank you so much for

tuning in thanks again to HubSpot for

sponsoring this video you all rock I

appreciate you letting me nerd out over

on YouTube and actually enjoying

watching it for some reason I don't get

it but I'm having fun I hope you're

having fun let's do it again I'll see

you in the next one

byebye

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