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Jack Dorsey's Buzz has left me completely speechless...

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Jack Dorsey's Buzz has left me completely speechless...

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529 segments

0:00

Jack Dorsey just released a new app

0:02

called Buzz that I think is absolutely

0:05

revolutionary and is a glimpse into the

0:08

future. It is a new multi-agent chat app

0:11

that destroys Slack and Discord. But

0:14

there's so much more to it that no one

0:16

else in the entire internet's talking

0:17

about. We're going to talk about it

0:19

here. In this video, I'm not only going

0:21

to show you what makes Buzz so special,

0:23

I'll also show you some use cases that

0:25

will change the way you work and show

0:27

you some new features I've never seen in

0:29

any app ever before. By the end of this

0:31

video, you're going to be a Buzz master.

0:34

Let's lock in and get into it. So, this

0:37

is Buzz and there is a lot of things

0:39

going on here. The entire internet, bad

0:42

pun intended, has been buzzing the last

0:45

week over this. And for good reason.

0:47

This isn't just a Discord with AI agents

0:51

just built in. This isn't just Slack.

0:53

This is a major paradigm shift in how

0:55

chat apps work. Quick walk-through and

0:58

then I'll go into all the

0:59

differentiators and use cases. This gets

1:01

really, really juicy. This is what Buzz

1:04

looks like as of today. They are

1:06

shipping fast. They are shipping really

1:08

fast. So, by the time you see this

1:09

video, there might be new things on the

1:11

sidebar. There's also an excellent,

1:13

excellent mobile app. So, make sure to

1:15

check that out, too. What makes Buzz so

1:17

special is everything is in one place.

1:19

Your AI agents, your code, your

1:22

repository, your teammates. And the

1:25

reason why you want all of this in one

1:27

place is because now context can be

1:30

shared amongst all these things. Let me

1:32

show you what we're looking at here. So,

1:33

I'm in this channel right now. Inside

1:35

this channel, we have a whole bunch of

1:37

things. One, we have me and we also have

1:40

a bunch of AI agents. We have my

1:42

OpenClaw Henry who is in here. We have

1:45

my Hermes agent Hermes. I just named my

1:47

Hermes agent Hermes cuz I like that

1:48

name. We also have some other things. We

1:50

also have an agent named Billy. Billy is

1:55

a local agent. This is a model Gemma 4

1:59

running on local compute. I was able to

2:03

very easily spin up these local models

2:06

and local agents inside of Buzz because

2:09

Buzz detects all my local compute. This

2:12

is a really really big part of Buzz this

2:14

local compute. We'll get into this later

2:16

in the video, but this is something no

2:19

other app in history has ever done. But

2:21

let's talk about the AI agents first. So

2:23

for the first time we truly have a way

2:25

to bring all our agents in one place.

2:27

Our Open Claw, our Hermes, any other

2:30

agents we have, Codex, Claude Code, I

2:32

also have those in here as well. They

2:35

are all in one single place. And because

2:38

they're all in one place, that gives us

2:40

a few different advantages. One, and

2:42

it's one thing you can see here,

2:44

adversarial conversations are really

2:47

really easy to do now. What I mean by

2:49

adversarial conversations is a big

2:52

unlock for using AI is when you can have

2:56

different AI models and harnesses and

2:59

agents debate each other. Claude thinks

3:01

one way, ChatGPT thinks another way,

3:04

Hermes thinks one way, Open Claw thinks

3:06

another way. Before you had a kind of

3:09

jigsawed it all together and build

3:11

skills and MCPs and plugins so they can

3:14

kind of communicate to each other in a

3:16

really rough way. You don't need to do

3:18

that anymore. They all communicate to

3:20

each other natively inside Buzz. There's

3:22

no extra setup required.

3:25

>> So for instance, I send a weekly

3:26

newsletter link down below, and when I

3:28

typically write these newsletters, I go

3:31

to my Open Claw, I say, "Hey, what are

3:33

you thinking for a newsletter this

3:34

week?" Then I go to my Hermes, I say,

3:36

"Hey, what are you thinking?" And

3:37

sometimes I'll copy and paste them

3:38

amongst each other. It's a whole lot of

3:40

work. Now I can do this. "Hey Henry and

3:43

Hermes, can you discuss amongst each

3:45

other what would be the best newsletter

3:47

for me to write?" They start a thread

3:49

amongst each other where they literally

3:52

start messaging each other back and

3:53

forth. They're literally debating each

3:55

other back and forth. I'm not even in

3:57

the conversation. I'm not saying

3:59

anything. They are discussing back and

4:01

forth what my newsletter should be for

4:03

that week. Adversarial AI. This yields a

4:07

significantly better result than just

4:10

asking one AI. So, adversarial AI

4:14

natively supported, no other app on

4:16

planet Earth does this because every

4:18

other app AI agents are like

4:20

second-class citizens. Discord, Slack,

4:24

you're building plugins, which is

4:26

basically just glue and tape to get your

4:28

AI agents in there. With Buzz, they are

4:31

native, so they can natively talk to

4:33

each other just like they're human

4:34

beings. Speaking of human beings, human

4:36

beings can work side by side in here as

4:39

well. I'm actually going to be opening

4:41

up this community in In Buzz, they're

4:43

called communities. I'm actually going

4:45

to open up this community very soon.

4:46

Details on that later in this video as

4:48

well. But, you can invite people in and

4:50

they can work alongside you, your Open

4:53

Claw, your Hermes, your other agents,

4:54

and they can all discuss with each other

4:56

and have these kind of adversarial

4:58

conversations to get way better results.

5:00

Many other things built in that are

5:02

incredible, and we're going to go into

5:03

why these things are so special soon.

5:05

Another reason, built-in repositories.

5:07

Repositories are built in. They're not

5:09

just replacing Slack and Discord in

5:11

here. They're also replacing GitHub.

5:14

Repositories are built into this. So,

5:16

you can create projects directly in

5:20

Buzz, replacing GitHub, and then you can

5:23

then go into your different channels and

5:25

have your agents actually write and

5:27

commit code into these repositories,

5:30

into these projects. This is again

5:33

amazing cuz now for the first time,

5:35

repositories, AI agents literally living

5:38

in the same place. You don't need to

5:40

glue it together with MCP servers to

5:42

GitHub and this and that, all in one

5:44

place, and that opens it up even more

5:47

with the fact now that you can bring

5:48

human beings in here, and your humans,

5:52

your AI agents can all work together to

5:55

write code together, and ship code, and

5:57

commit it to the local projects. There's

5:59

never been like a multiplayer

6:02

AI setup like this before. There's never

6:04

been like a multiplayer coding setup

6:06

where you have multiple people working

6:08

together in the same space to build

6:10

projects. You know, typically, you'll

6:12

create your commit separately. They'll

6:14

the code will step on each others' toes.

6:17

You'll have to do merges. You have to

6:18

figure out what's going on. Here,

6:20

everyone works alongside each other, so

6:22

you can see who's doing what, who's

6:24

building what, who's thinking what,

6:25

whether it's your AI agents, your

6:26

humans, and Buzz, they're the same

6:28

thing, and it makes building code so

6:31

much nicer. Here is my list I made of

6:33

like the biggest special things about

6:37

Buzz. This first one is the biggest

6:40

thing. This is the most important. When

6:42

it comes to AI, context is everything.

6:46

Having good context and having crap

6:48

context is the difference between

6:50

getting amazing performance out of AI

6:53

and awful performance out of AI. The

6:55

more context, the more relevant context

6:59

you can have, the better your AI is

7:01

going to perform. Now, what's amazing

7:04

about Buzz is now for the first time all

7:07

your context is in one place. All your

7:10

agents get many pieces of context with

7:13

every prompt. They're getting the entire

7:15

conversation history of the channel

7:17

they're in. They're getting any sort of

7:19

agent prompt description you gave when

7:22

you put them in here. They're getting

7:24

all the context from their past

7:26

conversations, like if you have your

7:27

open claw, your memories from your open

7:30

claw, from your other conversations.

7:32

They're getting context of the other

7:34

people you have in your Buzz. They're

7:35

getting context around the projects and

7:37

repositories inside your Buzz, and

7:40

they're getting context from all the

7:41

other agents in the buzz. Previously,

7:44

when you're using Codex or you're using

7:46

Claude arrow you just saw fly across.

7:48

It's my Codex doing work off screen. I

7:50

don't know what the hell's going on

7:51

there. Um,

7:52

but previously when you were doing work

7:54

in Claude code or Codex or Hermes or

7:57

open claw, all of your context is

8:00

separate. Your open claw can't see the

8:02

context from Hermes. Your Hermes can't

8:04

see your conversations from Claude code.

8:06

Your Claude code can't see the work

8:07

you've been doing in Codex. Codex is

8:09

just clicking on my screen right now.

8:11

This is what happens you have too many

8:12

AI agents in your computer. They just

8:13

click around and do things when you're

8:14

not even looking. Now all that context

8:17

is in one single place. All in one

8:21

place. That's amazing because that gives

8:23

so much more power to the work all your

8:25

other AI agents are doing. So when I go

8:28

to Henry, my open claw, and I say, "Hey,

8:30

work on our project in here, this on

8:32

screen notes app I'm building." It's

8:34

going to have context around all the

8:36

conversations I'm having with my Hermes.

8:38

And it's going to have context around

8:40

conversations I've had in other channels

8:42

discussing the project. I don't need to

8:44

update it on the conversations from my

8:46

other agents. That is really really

8:49

unbelievably powerful. At its absolute

8:51

core, I think that's truly what the

8:52

value Buzz is is centralized context for

8:56

all your work. That is incredibly

8:58

powerful. There's way more to it though.

9:00

When we get to the shared compute part,

9:02

I think I'm going to blow your socks

9:03

off. But there's way more to it though.

9:05

Having all the shared context makes

9:07

other things more powerful. For

9:08

instance, search. I can easily search

9:11

for anything here. Maybe I'm working on

9:13

an app. And maybe I've worked on it if

9:15

you're anything like me across Claude

9:17

code, Codex, other agents, Hermes, open

9:19

claw, they're all contributing different

9:21

ways. If I'm searching for a specific

9:23

thing, I'm going to have to go to each

9:25

one of those agents and search to see,

9:27

"Okay, who added this feature? Who added

9:28

this feature?" Here, I can just search

9:30

in one centralized place for everything.

9:33

Like if I'm searching for my agent

9:34

Henry, I'm not only seeing the agent

9:36

Henry, things they've said, things I I'm

9:39

seeing every single thing anyone said to

9:41

Henry. I'm not only seeing I'm seeing

9:44

all the thinking logs of anyone who's

9:47

thought about Henry in the search. This

9:49

search is incredible. It also gets

9:52

thinking logs in here. So you can search

9:54

amongst AI agent's thoughts to see if

9:57

anyone's thought of Henry. That's how

9:59

unbelievable the context in this app is.

10:01

And again, in a second we're going to

10:02

get to use case, we're going to get to

10:03

the shared compute stuff. I just want to

10:05

cover what makes Buzz so special and

10:07

different first. We talked about the

10:09

adversarial agents. This is also huge

10:11

for coding, by the way. Adversarial

10:13

agents are amazing for coding. So if you

10:16

build something out, sending that to

10:18

another agent. For instance, if you

10:19

build something in Codex, having Claude

10:21

code check it over, usually makes the

10:24

code better and vice versa. That's now

10:26

super easy in here. Instead of having to

10:28

write skills where Claude code calls

10:30

Codex or Codex calls Claude code, you

10:33

just have it all in one place where you

10:34

can just tag Claude and Claude can say,

10:36

"Hey, check this out. What do you

10:37

think?" And they'll work together and

10:38

improve the code. No, again, taping

10:41

things together through MCP or plugins

10:43

or skills or anything like that. So it's

10:45

not just for writing newsletters, it's

10:46

also for coding, anything you do. It's

10:48

just super easy to have adversarial

10:50

agents. Traceability, I just kind of

10:52

showed you that in the search. You can

10:54

trace everything, every thought, every

10:55

message, anything that happens, easily

10:57

searched through. It's open source, it's

11:00

free. This is what Jack Dorsey's been

11:02

about ever since he sold Twitter, I

11:03

think. Everything's open source. It's

11:05

amazing, very, very amazing. I'm very

11:07

pro open source. So you can customize

11:10

this any way you want. No more paying

11:12

like $10 a month. I don't I paid $10 a

11:15

month for a Slack. I don't even know

11:16

what the hell I get. I think I just

11:17

tried to join someone else's channel and

11:19

they they got to pay for it. I was like,

11:20

"What am I paying for? To join a

11:21

channel?" I I didn't understand it. It's

11:23

free. No more Slack $10 a month for God

11:25

knows what. And the pooled compute part,

11:27

which again, this is going to be

11:28

exciting. I'm covering this a little

11:29

later as well. So use cases, when would

11:32

you use Buzz as opposed to Claude code

11:34

or Codex? If you work with people,

11:37

right? If you have teammates or things

11:39

like that, you should be using Buzz for

11:42

pretty much everything. You should be

11:44

bringing your teammates in, bring your

11:46

agents in, and you all can have this

11:48

kind of multiplayer building experience,

11:50

which is incredible. If you're building

11:52

anything with teammates, anything with

11:54

other people, you should be using Buzz

11:57

for your vibe coding. If you're a

11:59

solopreneur and you're doing kind of

12:01

your own hardcore vibe coding, I still

12:04

lean towards Codex at this moment. I'm

12:07

sure there's going to be way more

12:07

features that might change my mind. I

12:09

still lean towards Codex for kind of

12:11

solo hardcore vibe coding, but for

12:14

adversarial code checks, I would bring

12:16

it into Buzz and have the adversarial

12:18

code checks there. Multi-agent

12:20

adversarial reviews in research is also

12:23

amazing here. Like I showed you how I

12:24

built this newsletter by having my Open

12:26

Claw and Hermes actually debate with

12:28

each other. Any type of kind of deep

12:31

research you're doing, I would bring

12:33

that into Buzz and I would have it be

12:35

adversarial. I would say, "Hey Hermes,

12:38

Open Claw, Claude code, Codex, go

12:40

research this for me. Everyone get your

12:42

responses, present them to each other,

12:44

debate, and bring it into one concise

12:47

response that you deliver to me." I've

12:49

gotten really, really good results from

12:51

that. So, I would take advantage of Buzz

12:52

for kind of adversarial research as

12:55

well. Any kind of big decision you're

12:57

doing from your business perspective,

12:59

I'm really liking Buzz and the

13:01

conversations here for that. Local AI,

13:04

if you have any sort of decent hardware,

13:07

local AI here, and again, we're going

13:09

deep into this in a second here, but it

13:11

is so easy to spin up local AI agents in

13:14

here. If you're doing LM Studio or other

13:16

apps, I mean, it's not difficult, but

13:18

it's still a little complex. Here, it's

13:20

super easy. You just go into your

13:21

settings, you go into compute, and you

13:23

can just choose a model. It It actually

13:25

recommends models based on which

13:27

computer it's on. You just click it and

13:29

boom, you have a local model running. I

13:31

think really everyone should be running

13:32

this no matter what hardware you have,

13:33

cuz it's going to find a model you can

13:36

actually run. By the way, if you learn

13:37

anything so far, make sure to leave a

13:39

like down below, subscribe, turn

13:40

notifications. I'm always just using the

13:42

most cutting-edge tools, then I tell you

13:44

about it, and I tell you how to get the

13:45

most out of it with the most actionable

13:47

AI channel on planet Earth. So, you got

13:48

any value out of this, make sure to

13:50

subscribe and turn notifications. Also,

13:52

Vibe Coding Academy, I'm doing a live

13:54

boot camp on this in the Vibe Coding

13:55

Academy next week. Make sure to sign up

13:58

for that below. Number one AI community

13:59

on planet Earth. Link for that down

14:00

below. Now, let's get to a part here I

14:03

am super, super excited about and I

14:06

think is going to change a lot of

14:07

things. That is the screen we're on

14:09

right now, shared compute. What is

14:11

shared compute inside of Buzz? Shared

14:14

compute is the ability for everyone in

14:17

your community to pull together your

14:20

compute and then spin up models and

14:23

agents on that computer that you all can

14:25

talk to. Why is that so amazing and so

14:27

different? First of all, no one else is

14:29

doing that. There's There's literally

14:30

just no other app on planet Earth that

14:31

does anything remotely like this. But

14:33

second, this allows you to basically

14:36

have like your own intelligence commune

14:39

where you all can share your

14:41

intelligence and just use free local

14:43

intelligence with everyone in your

14:44

community. So, for instance, if you

14:46

watch any of my previous videos, you

14:48

know I have bought an absurd amount of

14:50

computers over the last uh few months. I

14:52

have three Mac Studio 512 GB. I have a

14:55

few DGX Sparks, a few Mac Minis, an AMD

14:58

Halo. I have like 2 and 1/2 TB of

15:00

compute ready to go at all times. I do a

15:03

bunch of things with those, but a lot of

15:05

time one or two of those computers will

15:07

sit idle. I can now connect all those

15:10

computers to this community and have

15:14

basically 2 and 1/2 TB

15:16

of compute ready to go that anyone in

15:19

this Buzz community can use. And that's

15:21

a lot. You can get versions of Kimiko 3

15:24

right now that are like 500 GB.

15:26

That means I can have like five Kimiko

15:29

3's in here ready to go that anyone can

15:33

just talk to and use completely for

15:36

free. And in fact, that's what I'm going

15:39

to do. Over the next few weeks, I'm

15:42

going to open up this Buzz community

15:44

with all my compute connected to it to

15:48

my Vibe Coding Academy community. If you

15:51

want to take advantage of like all the

15:52

Mac Studios I have sitting in this

15:54

office right now, I'd highly encourage

15:56

joining the Vibe Coding Academy right

15:58

now cuz I'll probably limit the amount

16:00

of people that can join the Buzz

16:02

community just so my models don't get

16:04

overloaded. So if you join now, you'll

16:05

have first dibs on it. But I'm able to

16:08

connect all these computers, run a bunch

16:10

of models on them, and then everyone in

16:12

here can not only talk and use this free

16:14

compute that's being hosted on my side,

16:16

but what's going to be really amazing is

16:18

everyone in your Buzz communities that's

16:21

sharing compute can actually team up

16:23

together and build apps together,

16:26

multiplayer app building. You can come

16:28

in here and leverage the local compute

16:31

that's pulled together, and everyone

16:33

kind of builds projects together and

16:35

adds features. Again, there's never been

16:37

anything like this before. Nothing even

16:40

remotely close to it. And now Buzz

16:42

unlocks that. I want to be on the

16:45

forefront and the cutting edge of this

16:46

stuff. So I'm going to connect all of

16:48

these computers to my Buzz community and

16:50

open it up to the Vibe Coding Academy

16:53

over the next few weeks. So I want to

16:54

make sure I set up so it's scalable and

16:56

everyone can use it. So make sure you

16:57

sign up for that. That's amazing. But

16:59

this idea of pulled compute is

17:01

incredible, especially as compute gets

17:03

more scarce and more expensive and

17:06

harder to get. Being able to enter kind

17:09

of almost like a compute intelligence

17:11

commune, and everyone contributes their

17:13

compute and shares it together, and can

17:16

use it to get free tokens and

17:18

intelligence. That is a really, really

17:20

amazing concept. It's kind of like the

17:22

Bitcoin compute in a way cuz that's kind

17:25

of like the idea of crypto is that it's

17:26

like decentralized, which is very uh I

17:29

guess alongside

17:31

uh what Jack Dorsey's all about where

17:33

he's very Bitcoin uh decentralized

17:37

all that stuff is just very Jack Dorsey.

17:39

But, it's really cool when it comes this

17:41

compute stuff. It's really amazing.

17:42

Should you be using Buzz? I think

17:45

everyone universally should be using

17:47

Buzz. You should download it and use it.

17:49

Now, depending on your use cases and

17:51

what you do, I think there's you'll get

17:53

different amounts of value out of it. I

17:55

think if you have a team and you have

17:57

multiple people you build with every

17:58

day, you'll get tons of value out of it.

18:00

Really, really amazing. If you're solo

18:02

preneur, you're hardcore hacking by

18:04

yourself, I still think you'll get value

18:06

out of it. I still think you need to use

18:07

it at the very least like you need to

18:09

just get used to it cuz I think this is

18:11

the future. I am very convinced this is

18:13

the future. But, I think for vibe

18:15

coding, Codex is going to be the way to

18:17

go. Uh Gable, amazing model, but I think

18:20

Codex is by far the best uh harness for

18:24

AI agents in vibe coding right now. By

18:26

the way, if you missed my uh chat GPT

18:27

voice video from a few days ago, it's

18:29

one of the best videos I've ever put

18:30

out. Make sure to check out my channel

18:31

and see that. I think it's one of the

18:33

most amazing features I've ever used.

18:34

Anyway, Buzz, you need to download it.

18:37

It's really amazing. I really believe

18:39

it's the future. Way more is probably

18:41

going to come from this. They have

18:43

shipped over the last week so many new

18:45

features. I mean, this project stuff

18:46

just dropped. I hope this was helpful. I

18:49

am so excited to get back into this and

18:50

keep using it again and connect all my

18:52

computers. So, I'm going to get to that.

18:55

I appreciate y'all. I love y'all. Thank

18:56

you for watching my videos. It really

18:57

means the world you sit here and listen

18:59

me for however hell long this video was.

19:01

Hope you have amazing weekends. I'll see

19:03

you in the next video.

Interactive Summary

This video introduces 'Buzz,' a revolutionary new multi-agent chat application released by Jack Dorsey. Unlike traditional chat apps like Slack or Discord, Buzz treats AI agents as first-class citizens, allowing them to interact natively and participate in 'adversarial' debates to produce higher-quality outcomes. The platform centralizes context, integrates repository management similar to GitHub, and enables users to pool local compute power, creating a shared, decentralized intelligence resource for communities.

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