Doom Powered Entirely by AI, Cursor AI, Meta SAPIEN, OpenAI Drama, Project Orion

Summary

This week's tech news features Google's groundbreaking neural net enabling real-time game creation like Doom, hinting at personalized content futures. Cursor AI's code editor allows natural language programming, democratizing app development. Boston Dynamics unveils a new Atlas 2 robot, while Reflect Orbital proposes sunlight delivery via space reflectors. Meta's new model, Sapiens, advances human-centric vision tasks. Open AI's internal conflicts over AI regulation surface, as Microsoft's AI search feature and Salesforce's AI sales agents are set for release, signaling AI's expanding role in various industries.

Takeaways

• 🧠 Google Research has developed a method to recreate the game Doom in real-time using a neural net, showcasing a significant leap in AI's capability to generate content dynamically.
• 🎮 The future of video games is predicted to involve neural nets creating personalized experiences, with the potential to design any world for gameplay.
• 🤖 Elon Musk hints at Tesla's ability to simulate the real world using neural nets, suggesting advancements in AI's application to real-world data.
• 🔧 Cursor AI is gaining attention for its ability to allow users to build and edit code using natural language, democratizing software development.
• 💡 a16z's investment in Cursor signifies the growing recognition of AI's role in programming and its potential to reshape the developer landscape.
• 🤖 Boston Dynamics' new Atlas 2 robot demonstrates impressive physical capabilities, indicating progress in humanoid robotics.
• 🌞 Reflect Orbital proposes a system to direct sunlight or its reflection to any location on Earth using space-based reflectors, an idea reminiscent of science fiction.
• 👀 Meta's new 'Sapiens' models aim to enhance human-centric vision tasks, with applications in various fields including video games, autonomous vehicles, and content creation.
• 🚨 A letter from former OpenAI employees raises concerns about the rapid development of AI and the lack of whistleblower protections, highlighting internal conflicts and safety issues.
• 💻 Microsoft's upcoming release of the AI-powered 'Recall' feature for Windows search is a step towards more integrated AI in daily computing tasks.
• 📈 Salesforce's introduction of AI sales agents like Einstein SDR and Sales Coach aims to automate and scale sales processes, though the effectiveness and reception of such tools remain to be seen.

Q & A

What significant advancement in video game technology was discussed in the script?

Google Research has developed a method to create the game Doom in real time using a neural net, meaning the game is not pre-programmed but created on the fly by the neural net.

What does the real-time creation of Doom using a neural net imply for the future of video games?

It suggests that future video games will be dynamically created by neural nets, allowing for personalized content and experiences, with games being generated in real time based on player interactions and preferences.

How did Elon Musk respond to the video about Google's neural net creating Doom?

Elon Musk replied to the video, suggesting that Tesla can do something similar with real-world video, hinting at the potential for Tesla to reproduce real-world scenarios using neural nets.

What is Cursor AI and how does it relate to the future of programming?

Cursor AI is a code editor that is AI-native, allowing users to describe what they want to build in natural language, and the AI builds it for them. This technology could lead to a future where billions of developers can create apps and software without needing to know how to code.

What is the significance of a16z's investment in Cursor AI?

The investment by a16z, a prestigious VC firm, indicates the potential and importance of Cursor AI in revolutionizing software development by making it accessible to non-programmers through AI-assisted programming.

What new capabilities were showcased by Boston Dynamics in their Atlas 2 robot video?

The video showcased the Atlas 2 robot's ability to jump on the ground and perform push-ups, demonstrating improved form factor and consumer-appealing design compared to previous versions.

What is Reflect Orbital's proposed method for directing sunlight to any location on Earth?

Reflect Orbital plans to use a constellation of in-space reflectors to capture sunlight and direct it to any location on Earth, potentially providing on-demand light and energy, although the practical effects remain unproven.

What concerns were raised by former OpenAI employees about the company's practices and stance on AI regulation?

Former OpenAI employees expressed concerns about the company's rapid development of artificial general intelligence without adequate whistleblower protections and criticized OpenAI for opposing California legislation aimed at restricting AI, while also showing the government their top-secret projects.

What is the AI Rec feature that Microsoft is planning to release to testers?

AI Rec is a feature that takes snapshots of a user's Windows environment, allowing them to search through everything they've done on the computer using natural language, similar to chat GPT.

What are the new AI sales agents released by Salesforce called, and what do they do?

Salesforce released two new AI sales agents called Einstein SDR and Einstein Sales Coach. These autonomous agents are designed to scale sales teams by automating manual tasks and handling sales interactions.

What achievement did Cerebrus Systems claim with their new inference technology?

Cerebrus Systems claimed their new inference technology, Cerebrus Inference, has taken the top spot for inference speed, with the ability to process 450 tokens per second, 20 times faster than GPUs, and at a fifth of the price of hyperscalers.

Outlines

00:00

🎮 Real-Time AI-Powered Doom Game

Google research has unveiled a groundbreaking method that uses a neural net to recreate the game Doom in real time. This technology signifies a leap in the future of video games, as it demonstrates content creation 'on the fly' without traditional coding. The video showcases the game's dynamic elements like menus, health logic, and reloading, all rendered in real time. Despite minor glitches, the achievement underscores the potential for personalized video games, TV shows, and movies, tailored by neural nets based on descriptions alone. The concept extends to world simulators, with Elon Musk hinting at Tesla's similar capabilities using real-world video, suggesting a future where neural nets can reproduce reality.

05:00

🤖 Cursor AI: The Future of Coding

Cursor AI, an AI-native code editor, is revolutionizing software development by enabling users to build applications using natural language. This tool eliminates the need for traditional coding skills, allowing anyone to create apps, as demonstrated by an 8-year-old building a chat app. The technology has garnered significant attention, with a16z investing heavily in Cursor. AI models are now capable of basic programming tasks with high accuracy and are expanding into more complex, real-world applications across multiple languages. The evolution of AI in coding is set to increase the number of developers exponentially, democratizing app creation.

10:01

🤖 Boston Dynamics' New Atlas Robot

Boston Dynamics has released a video showcasing their new Atlas 2 robot, demonstrating its advanced capabilities in a short but impressive demo. The robot is designed with a more consumer-friendly appearance and performs tasks like push-ups with ease. The video highlights the progress in humanoid robot development, hinting at a future where such robots are commonplace in households.

15:02

🚀 Reflect Orbital: Sunlight on Demand

Reflect Orbital is a company proposing a futuristic concept of directing sunlight or its reflection to any location on Earth using a network of space-based reflectors. Although the technology is not yet proven and the demo video is simulated, the idea is captivating. Potential applications include powering solar arrays around the clock, which could revolutionize energy production. The project is in its early stages, with plans for limited availability starting in Q4 2025.

🧠 Meta's Presentation of Sapien Models

Meta has introduced a suite of models called 'Sapien' designed for key human-centric vision tasks such as 2D pose estimation, body part segmentation, depth estimation, and surface normal prediction. These models are capable of high-resolution inference and can be easily adapted for specific tasks through fine-tuning. With pre-training on over 300 million human images, the Sapien models have a wide range of applications, including video games, autonomous vehicles, and content creation.

📜 Whistleblower Concerns at Open AI

A group of former Open AI employees has raised concerns about the rapid development of artificial general intelligence (AGI) and its potential risks to society, such as cyber attacks or biological weapon creation. They express concern over Open AI's lack of transparency and internal conflicts, including premature deployment of technology and security breaches. The letter calls for whistleblower protections and regulation in AI development, reflecting a debate on the cautious and responsible advancement of AI technologies.

💻 Microsoft's Upcoming AI Recall Feature

Microsoft is set to release its AI Recall feature to testers in October, a tool that allows users to search their computer's history using natural language queries. Initially delayed due to security and privacy concerns, the feature is now expected to address these issues with improved encryption and data handling. The AI-powered search is anticipated to enhance productivity by providing context-aware search results from the user's digital activities.

🤖 Salesforce's AI Sales Solutions

Salesforce has ventured further into AI with the release of Einstein SDR and Einstein Sales Coach, autonomous AI sales agents designed to scale sales teams. These tools aim to automate manual sales processes, though the effectiveness of AI in sales remains a topic of debate. The introduction of AI in sales could potentially increase efficiency but may also lead to a decrease in the quality of sales interactions.

🧠 Google's New AI Models

Google has introduced new experimental AI models, including Gemini 1.5, which has shown promising results in performance tests. These models are designed to improve upon previous versions, offering faster inference speeds and better performance. While initial tests have been mixed, the potential for these models to advance AI capabilities is significant.

🌌 Elon Musk's AI Super Cluster

Elon Musk has shared a video showcasing Tesla's new AI super cluster, a massive computational system designed to tackle real-world AI challenges, potentially including autonomous vehicle technology. The super cluster represents a significant investment in AI infrastructure, indicating a commitment to advancing AI capabilities and contributing to the competitive landscape of AI development.

🔮 Open AI's Strawberry AI and Orion

Open AI is reportedly using Strawberry AI to train its next frontier model, GPT 5, code-named Project Orion. This training process involves creating synthetic data to address the shortage of high-quality training data in AI development. The use of synthetic data in training models is a novel approach that could potentially enhance the capabilities of AI models. However, Open AI's reluctance to release the model's code or weights openly has raised concerns about transparency and openness in AI development.

🚀 Cerebrus Systems' Breakthrough in AI Inference

Cerebrus Systems has achieved a significant milestone in AI inference speed with their Cerebrus Inference, outperforming GPUs and offering a more cost-effective solution. The company's custom chips and inference technology have set a new benchmark, achieving speeds of up to 1,800 tokens per second for certain models. This advancement could have far-reaching implications for the efficiency and cost-effectiveness of AI applications.

Keywords

💡Neural Net

A neural net, or neural network, is an artificial intelligence system inspired by the human brain that is capable of recognizing patterns. In the video, Google Research's use of a neural net to recreate the game Doom in real time is highlighted, emphasizing the technology's ability to generate content dynamically rather than through pre-programmed code.

💡Doom

Doom is a seminal first-person shooter video game from the 1990s known for its influence on the genre and its numerous ports across various devices. The script discusses how Doom is being reimagined with a neural net, showcasing the game's logic and elements being rendered in real time, which represents a significant leap in video game technology.

💡AI-Native

The term 'AI-native' refers to software or tools that are inherently designed to integrate with artificial intelligence capabilities. Cursor AI, mentioned in the script, is described as an AI-native code editor that allows users to build and edit code using natural language, which is a significant shift from traditional coding practices.

💡Cursor AI

Cursor AI is an innovative code editor that leverages AI to assist in programming tasks. It enables users to describe what they want to build in natural language, and the editor constructs the code accordingly. The script highlights Cursor AI's potential to democratize coding and make app development accessible to a broader audience.

💡AGI

AGI stands for Artificial General Intelligence, which refers to an AI system with the ability to understand, learn, and apply knowledge across a wide range of tasks at a level equal to or beyond that of a human. The script touches on concerns about the rapid development of AGI and the potential risks it may pose to society.

💡Einstein SDR

Einstein SDR, as mentioned in the script, is an AI-driven sales agent developed by Salesforce. It is designed to automate and scale sales tasks, such as handling cold emails and lead assignments, which could revolutionize the sales industry by introducing a new level of efficiency.

💡AI Co-Pilot

The AI Co-Pilot, while not explicitly defined in the script, is implied to be an AI assistant that works alongside human users to enhance productivity, possibly in the context of programming or other tasks. It represents the growing trend of integrating AI into various aspects of work and daily life.

💡Inference Speed

Inference speed in the context of AI refers to how quickly a model can make predictions or process information after it has been trained. Cerebrus Systems, introduced in the script, claims to have achieved record inference speeds with their custom chips, which is crucial for real-time AI applications.

💡Reflect Orbital

Reflect Orbital is a company that proposes using a constellation of in-space reflectors to direct sunlight or sunlight reflections to any location on Earth. While it sounds like science fiction, as mentioned in the script, the idea suggests potential applications in providing light for solar arrays around the clock.

💡Meta's Sapiens

Meta's Sapiens refers to a family of AI models developed for human-centric vision tasks such as 2D pose estimation, body part segmentation, depth estimation, and surface normal prediction. The script notes that these models are significant for various applications, including video games, content creation, and autonomous vehicles.

💡Boston Dynamics

Boston Dynamics is a company renowned for its advanced robotics. In the script, the video showcases the Atlas 2 robot, demonstrating its capabilities in performing physical tasks like jumping and push-ups. It represents the ongoing advancements in humanoid robot technology.

Highlights

Google Research released a paper detailing a method for creating the game Doom in real time using a neural net, emphasizing that the game is not pre-programmed but created on the fly.

The future of video games is predicted to involve neural nets creating content on the fly, personalized for individual audiences.

Elon Musk hints at Tesla's capability to simulate the real world using neural nets, suggesting potential applications in reproducing real-world scenarios.

Cursor AI, an AI-native code editor, is gaining attention for enabling users to build and edit code using natural language, democratizing app development.

a16z invests in Cursor, highlighting the growing capability of AI models to perform basic programming tasks with high accuracy.

Boston Dynamics unveils the Atlas 2 robot, demonstrating advanced physical capabilities and humanoid robot evolution.

Reflect Orbital proposes using in-space reflectors to direct sunlight to any location on Earth, offering potential applications in solar energy.

Meta presents Sapien, a suite of models for human-centric vision tasks, supporting high-resolution inference and adaptability.

Former OpenAI employees advocate for whistleblower protections in AI, expressing concerns over the rapid development of AGI and potential societal risks.

Microsoft plans to release its AI search feature, which allows searching through computer activities using natural language, to testers in October.

Salesforce introduces Einstein SDR and Einstein Sales Coach, autonomous AI sales agents aimed at scaling sales teams and automating sales processes.

Google rolls out experimental models Gemini 1.5 Flash AB and Gemini 1.5 Pro, which are said to perform well in tests despite some inconsistencies.

Elon Musk shares a video of Tesla's new AI training super cluster, indicating the company's commitment to advancing real-world AI applications.

OpenAI's use of Strawberry AI to develop Orion is discussed, highlighting the potential of synthetic data in training advanced AI models.

Cerebrus Systems introduces Cerebrus Inference, which claims to achieve high inference speeds and cost efficiency for AI models.

The video transcript covers a range of AI advancements and controversies, reflecting the rapid pace of development and ethical considerations in the field.

Transcripts

there's been so much news already in

this week that I had to create a video

immediately let's get right into it the

first one is truly mind-blowing I have

been talking about the future of video

games the future of content in general

and now we really see a glimpse into

what that future can be Google research

just released a paper that details their

method for creating the game Doom in

real time using a neural net that means

that this game was not pre-programmed I

cannot emphasize that enough this game

was not written in traditional coding

languages it is being created on the Fly

by a neural net let's watch a little bit

more of this video because I really

can't even believe what I'm seeing so

Doom is a game that came out I believe

in the 9s one of the most popular games

to port to every device possible it's

been ported even to calculators and now

we have a neural net powering it now

what you're seeing here is truly the

future of video games the menu Health

the logic for how the game works works

the reloading absolutely everything is

being rendered in real time using a

neural net and you can actually see a

little bit of issues here and there so

obviously the zombie guy is kind of

Disappearing and then coming back some

of these numbers in the bottom right are

changing without really needing to

change so there are definitely some

issues but to look at what has been

accomplished really blows my mind so in

the future we are going to have video

games delivered to an audience of one

just like we're going to have TV shows

and movies delivered to an audience of

one that means that a neural net is

going to be able to create any content

we want simply by describing it and it's

going to be consistent it's going to

have all of the logic we need if it's a

video game to actually play it and we're

basically going to be able to design any

world that we want to play with in now

taking this a step further into the

future a lot of people have discussed

Sora by open Ai and other neural network

techniques for generating video as World

simulators and if you're not convinced

that these models can be World

simulators in the future True World

simulators I don't know what's going to

convince you interestingly Elon Musk

replied to this video saying Tesla can

do something similar with real world

video that is fascinating I'm not

exactly sure what he's referencing but

as soon as there's more information I

will report it to you I suspect that

with all of the real world information

that Tesla has collected from all of the

vehicles on the road they essentially

can reproduce the real world using a

neural net so it's not actually there

but they're reproducing it anyways that

is a world simulator if I've ever heard

of one so the teams at Google research

Tel Aviv University and Google Deep Mind

have released a paper released more

videos and if you want me to do a full

breakdown of this let me know in the

comments I'm probably going to do it but

yeah let me know anyways next if you

haven't been hearing about cursor AI

lately it has been all over Twitter and

the internet in general people are

realizing how powerful cursor AI is and

building incredible things without

actually needing to know how to code if

you're not familiar with cursor it is

basically a code editor that is AI

native you go in there you simply

describe in natural language what you

want to build and it builds it for you

you can edit the code using natural

language you can iterate on the code you

can test the code all using natural

language paired with AI this should be

very convincing that in the short and

medium term we are going to have

billions of developers and then you know

I've said this a million times after

that we won't need any developers but in

the meantime it's going to be a lot of

fun because everyone is going to be able

to create apps whenever they want

regardless of skill set I've seen

examples where entire iOS applications

have been built I saw a video of an

8-year-old girl build a chat application

to chat with Harry Potter and again all

of this in natural language and now a16z

one of the most prestigious VC firms in

Silicon Valley has made a huge

investment in cursor the first line llms

are getting good at writing Cod and that

is a massive understatement all of the

major AI models can now perform basic

programming tasks reliably with greater

than 90% accuracy they are starting to

tackle more complicated real world tasks

and they can do it in more than 80

languages however writing code isn't

just about writing new code the majority

of a developer's time has spent

maintaining debugging and tweaking code

and to do that reliably requires

actually understanding the code and the

intent of the system this is something

that large language models to date have

not been great at maybe with the

exception of the project AER a i d r

which I've reviewed on this channel

being able to pass in a massive code

base into the context window of a large

language model has been a limiting

factor on the capabilities of what those

large language models can do with code

but as context Windows increase as rag

Solutions get better and as we figure

out more ways to map code bases and

really just compress code bases using

large language models to iterate on

large code bases becomes more and more

of a reality we believe that therefore

the interface between programmers and AI

models will soon become one of the most

important pieces of the dev stack and

we're thrilled to announce our series a

investment and cursor the leading

company working on this problem cursor

is a fork of VSS code so vs code by

Microsoft Is An Open Source coding

editor it's the one I use it is

extremely popular open source as I

mentioned and now cursor forked it and

made it AI native and it's heavily

customized for AI assisted programming

it works with all the latest llms and

supports the full vs code plug-in

ecosystem system what makes it special

is the features designed to integrate AI

into developer workflows including next

action prediction natural language edits

chatting with your codebase and a bunch

of new ones to come so if you haven't

used cursor regardless of if you're a

programmer or not you need to check it

out because you can build anything you

want now we are beginning down the path

of having billions of programmers and I

cannot wait next Boston Dynamics

released a new video of their brand new

Atlas 2 I believe it's called their new

robot and it's pretty impressive so

let's take a look it's only 22 seconds

but let's

see so we have it jumping on the ground

and now doing push-ups seemingly easily

this is a beautiful form factor much

more consumer polished than their

previous versions and there we go it

gets back up and that is a very short

demo video of what this robot can do so

very very cool and yeah these humanoid

robots are getting better and better and

I cannot wait to see them in every

household next in what looks like

complete science fiction and it's not

actually artificial intelligence but

it's so cool I have to cover it there is

a new company called reflect orbital

that essentially can point the Sun or a

reflection of light from the Sun at any

location on Earth using a constellation

of inspace reflectors and yeah this is

absolute science fiction so this is a

demo video and as the community note

says in case this isn't obvious this is

a simulated video No Such satellites

have been launched yet and the Practical

effect of on demand light from orbital

mirrors remains unproven but it's still

cool to think about let's take a look

the spot yeah watch this bring it over

to us here isn't that crazy no

way all right so the demo video looks

really cool it is not real it is just a

simulated video according to the

community notes and it could be cool for

the future but I can also see it being

used as a weapon so this is the website

reflect orbital sunlight after after

dark reflect orbital is selling sunlight

using a constellation of inspace

reflectors so let's take a look at how

they propose doing it the sun is a huge

Fusion reactor that supports all life on

Earth the Sun's light contains 24

trillion times more energy than Humanity

uses today it is an unending source of

energy reflect captures that sunlight so

they have this inspace reflectors that

are circling the globe and brings it

down to earth using mirrors and space

powering a solar future and lighting our

world so there are a number of use cases

that I can think of OB obviously

powering solar arrays is probably the

most obvious one when it's night time

your solar arrays are done they're not

being powered obviously because there's

no sunlight but if you can have sunlight

focused on a specific position focused

on the solar array directly those solar

arrays can be running at 100% efficiency

24 hours a day so applications are

closed limited availability delivery

begins Q4 2025 so they have this kind of

cool demo thing on their website and

yeah you could check it out it's

definitely far away still and we'll see

if it actually manifests into something

real and practical but it's cool to

think about nonetheless next meta

presents sapiens a foundation for human

Vision models so we present sapiens a

family of models for four fundamental

human Centric Vision tasks 2D pose

estimation body part segmentation depth

estimation and surface normal prediction

and so we're seeing all of those right

here we have the pose the segmentation

the depth and and the normal it natively

supports 1K high resolution inference

and are extremely easy to adapt for

individual tasks by simply fine-tuning

models pre-trained on over 300 million

in the wild human images so obviously

this is good for video games this is

good for the future of content in

general this is good for autonomous

vehicles there are a number of different

applications for this and I'm so happy

that meta continues to release awesome

open-source projects to the world next a

new letter from former open AI employees

who have been advocating for

whistleblower Protections in AI on SB

1047 legislation now if you're not

familiar with that that is the

California legislation to essentially

restrict AI I'm not going to get too

deep into it but it's California

legislation for AI Sam Alman our former

boss has repeatedly called for AI

regulation now when actual regulation is

on the table he opposes it so let's read

a little bit about it so dear Governor

Nome Senate President Pro tempor Maguire

and assembly speaker Rivas open Ai and

other AI companies are racing to build

artificial general intelligence along

the way they may create systems that

pose a risk of critical harm to society

such as unprecedented cyber attacks or

assisting in the creation of biological

weapons if they succeed entirely

artificial general intelligence will be

the most powerful technology ever

invented and they go on to talk about

being extremely concerned with the

accelerating progress of artificial

intelligence towards AGI and

specifically why open AI has not given

the public any com confidence so in the

absence of whistleblower protections

open aai demanded we sign away our

rights to ever criticize the company

despite touting cautious and gradual

deployment practices gp4 was deployed

prematurely in India in direct violation

of open ai's internal safety procedures

more famously open AI provided

technology to Bing's chatbot which then

threatened and attempted to manipulate

users they've had major security

breaches and prominent safety

researchers have left the company so

another mixup within open AI and I don't

know I don't know what to think at this

point it does seem like there's a lot of

churn and a lot of drama going on inside

open AI but I guess that's what happens

when you're building the future and in a

recent video I talked about how open aai

has shown the government GPT 5 according

to an article from the information so

we'll see how all of this transpires but

right now open AI definitely makes me a

little bit nervous they kind of seem

like they're talking out of both sides

of their mouth on the one side they're

saying they're being cautious and

they're all for regulation but at the

same time they are opposing regulation

which by the way I don't necessarily

agree with that California bill and then

at the same time they're also showing

the federal government some of their top

secret coming projects so what do you

think about this do you trust open AI

let me know in the comments next in news

that I'm very excited about Microsoft

will release controversial Windows

recall AI search feature to testers in

October now I was extremely disappointed

when Microsoft decided to delay AI Rec

recall and if you don't remember the

recall feature basically takes snapshots

of your windows environment all the time

and you can search through everything

you've done on that computer using

natural language exactly like you would

do with chat GPT except now it has all

of the context of everything you've done

on the computer now it is opin so if

you're not into it if you think there

are security and privacy risk there you

are totally welcome to just not opt into

this feature and that's why they delayed

it because I believe a few research

found out that everything was being

stored in plain text or unencrypted now

I believe everything was being stored

locally but that's usually not enough

they have to encrypt it in some way to

truly be secure but apparently they

fixed a lot of these issues and now it's

coming soon this is a future I'm very

excited about I am less concerned with

the privacy and security issues and I

just can't wait to use it and as soon as

it comes out you know I'm going to use

it now here's the thing AI co-pilot plus

PCS have come out they're pretty awesome

but for the most part A lot of the

features that were promised with them

have not come out yet and this is one of

them that promises to be a real game

Cher at least for me the AI hopefully is

going to be powered locally by the npus

and the other chips in these AI PCS and

that is a great use case for on device

AI next Salesforce is continuing to get

into the AI game they have released

Einstein SDR and Einstein sales coach

two new autonomous AI sales agents to

scale your sales team so doing sales

with AI is definitely a bit scary but if

you're a sales team and you're looking

to scale up and automate a lot of the

stuff that is super manual then this

might be a good solution so here it

shows a video of the agent being created

then you can customize the agent telling

it when you want it to actually act and

assigning it leads this is you know less

than $10,000 so maybe low quality leads

and then here's an example so we have an

outbound cold email by Einstein Simon

replies how much does your solution cost

Einstein automatically replies so again

all of this has been done by kind of

entry-level sdrs to date but now it can

be done by AI but I think if I see an

email from an AI I'm probably going to

ignore it I already ignore all cold

emails for the most part but now

definitely from AI I'm going to ignore

it and the signal to noise ratio is

going to be off so I'm actually not sure

how I feel about this I've run sales

teams in the past so I think from that

perspective I would have appreciated

this but as now on the flip side of it

as a consumer I probably don't want a

bunch of emails coming in and just a

bunch of noise in my inbox much more so

than I already have all right thanks to

Sean Ralston for pointing this out

apparently there are two new models in

lmc.org engine test and little engine

test and these are both from Google

these are both test models from Google

and he was kind enough to do the marble

question and it passed it perfectly so I

don't know much more about these models

these might might be the new models that

were just released by Google here is

Logan Kilpatrick from Google saying

today we are rolling out three

experimental models a new smaller

variant Gemini 1.5 flash AB a stronger

Gemini 1.5 pro model and a significantly

improved Gemini 1.5 flash model you can

test these all out on AI Studio I've

tested them they still haven't performed

all that well being honest but according

to chatbot Arena it performs really well

basically just below chat GPT 40 latest

I just haven't been able to get it to

perform all that well but I'm willing to

give it another try definitely next Elon

Musk posted a video of their AI super

cluster in action and it looks

incredible let's take a look so he said

video of inside of Cortex today the

giant new AI training super cluster

being built at Tesla HQ in Austin to

solve real world Ai and so I guess by

real world AI he probably is referring

to Tesla autonomous vehicles but Maybe

not maybe this is actually grock 3 I'm

not sure but nonetheless this is just a

massive super cluster and the energy

consumption must be tremendous still

very cool and I'm all for another

company producing Frontier models and

increasing the competition now I just

want to quickly touch on this next story

but I already covered it in depth in a

previous video which I'll link to in the

description below open AI shows

strawberry AI to the feds the federal

government and uses it to develop Orion

so the gist is strawberry qar the thing

that we've been talking about and

hearing rumors about for a while now is

actually being used to train their next

Frontier Model GPT 5 code named project

Orion the way it does that is by

creating really high quality synthetic

data and that is one of the limitations

that AI companies are facing right now

there just isn't enough new highquality

training data so there's really two

solutions to that problem one is you do

a lot more with the data you have and

that's something that Sam Alman has

talked about in previous interviews and

two you create highquality synthetic

data so using one model to create data

for another model to train on and we

haven't really seen a Frontier Model

being trained on Purely synthetic or

majority synthetic data to date so it'll

be interesting to see if this actually

works and as I mentioned they showed it

to the feds so again as I mentioned

earlier in the video they're kind of

talking out of both sides of their mouth

right now open AI is they're showing

this model to the federal government

they are keeping the weights private

they are keeping the code private are

not releasing it in open source in any

way and I just don't agree with this

approach I would much rather everything

be out in the open and Jimmy apples all

the way back in November 2023 says let's

conquer the cosmos mood curious Jimmy so

Jimmy already posted about Orion almost

a year ago so if you're looking for real

open AI leaks Jimmy apples he's the one

to follow next the company named

cerebrus systems introduced cerebrus

inference and they have currently taken

the top spot for inference speed llama

3.1 70b at 450 tokens per second 20

times faster than gpus 60 cents per

million tokens a fifth of the price of

hyperscalers full 16bit precision and

they were actually able to reach 1,800

tokens per second for the AP model which

is just insane to think about so yeah if

you want to try it out they have their

own custom chips they're running their

own inference and it's super fast so

definitely check them out so that's it

for the news today let me know what you

think of all the stories in the comments

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