jack

no state is the best state

[jack @jack]

We reject: kings, presidents, and voting.
We believe in: rough consensus and running code.

—David Clark, 1992

[jack @jack]

indeed

[justin waldron @jtwald]

Every frontier lab is going to copy Buzz.
The problem is this layer is winner-take-most.
You can’t win without open models.
And owning the models doesn’t help you win.

[jack @jack]

yes

[Tyler Longwell 🐝 @tlongwell_bzz]

@derekmross @tylersookochoff @Hello_World Nostr made having agents on the relay much less scary. I wouldn’t trust a third party to control my agents on my machine.

Having them controlled only by you in a cryptographically verifiable way is the only thing that makes sense.

[Aaron Hammer @ahammer__]

https://t.co/k0TxzNtUWF

[DHH @dhh]

This is why we need competition and open weights in AI. Imagine a world where only Anthropic sat as the moral arbiter of acceptable speech. Fucking ridiculous. (Grok of course did it no problem, same too with Kimi K).

[Uncle Bob Martin @unclebobmartin]

Some people seem to be surprised that an old geezer like me could adapt so quickly to the newest tech.

The thing is, I've been a programmer for over 60 years. And every single year brings another adaptation to new tech. Adapting to new tech is what we programmers do on a regular basis. Why would I stop now?

[jack @jack]

yes!

[justin waldron @jtwald]

Buzz is not a slack killer. It’s much bigger.
It’s the first proper multiplayer agent harness.
The network effects of who wins at that layer will decide where value accrues as models commoditize.
Very impressed @jack

[jack @jack]

viking tech

[Ramin Nasibov @RaminNasibov]

Harald Bluetooth, a Viking King, united parts of Denmark and Norway. The bluetooth logo is a H and B in old Viking runes.

[jack @jack]

i'm in

[Apple TV @AppleTV]

Jack in.

#Neuromancer — January 22

[jack @jack]

@micsolana hard to capture a masterpiece

[jack @jack]

one of my favorite books growing up

[Apple TV @AppleTV]

See you on the other side, cowboy.

#Neuromancer — January 22

[Sanju @spikeysanju]

Still thinking about Buzz.

A communication tool centered around code and AI agents is the obvious next step.

It feels magical. This is actually the Slack replacement we've been waiting for.

[Gokul Rajaram @gokulr]

Excited for the ecosystem that's starting to form around Buzz by Block.

SageOx (@TheSageOx) is at the forefront of this ecosystem, enabling teams' shared knowledge to natively integrate with Buzz — buzz-agents drawing on team knowledge and broader shared context, every session grounded in the team's memory before it acts, with richer integration ahead.

[jack @jack]

the team did a great job at bringing this all together. and moving fast!

[GREG ISENBERG @gregisenberg]

I think the most interesting thing about Jack Dorsey's "Slack killer" is the idea around shared compute.

I haven't seen people talk about it so here are my thoughts FWIW:

Open models got good, close enough to the paid frontier stuff to run for real. But the strongest ones need expensive hardware most people probably won't buy alone, and it's kinda a pain to set up if you aren't technical.

Shared compute solves exactly that. In Buzz, one person runs the machine, loads up an open model like Google Gemma, and everyone in the community plugs into that same model.

Basically, a whole group has real AI they own and control together, running on their own hardware, learning from their own data.

Once you see it, a bunch of things click into place.

1. A community can now run a top open model together, on a machine they own, instead of renting from a lab.

2. It learns from the group's private data and gets sharper over time, and all of that stays inside the community.

3. A narrow, private model can quietly get better than ChatGPT for the one world your group lives in.

4. It's impossible to copy, because the edge is the private data on your machine, not the model itself.

5. The moat stops being how smart your AI is and becomes whose data it learned from.

6. Compute becomes something you share like a building shares a gym. 10 people split one machine instead of 10 people each renting forever.

7. Idle compute becomes income!!! Your machine sits dead half the day, so it earns money renting that time to someone who needs it.

8. Communities become the unit of intelligence instead of companies. The group with the smartest shared brain wins, and being a member means owning a piece of it.

9. A shared brain becomes an asset you build equity in. You put in money and data, it appreciates, and your slice is worth something the day you leave.

10. The whole thing runs on open protocols, so the group keeps full control and nobody outside can throttle it or shut it off.

You know me, obviously, my head went to what startup ideas come to mind here. Adding them to @ideabrowser soon.

Well…

1. The vertical brain. Pick one profession, tax lawyers or real estate agents or indie game devs, and build the shared machine trained on everything that group knows between them. A year in it's the smartest AI in that field, impossible to copy, and you own the club it lives in.

2. The rental marketplace for collective brains. Once these private models exist, outsiders will pay to use them. You build the layer where a group lists its brain, an outsider pays per task, and the money flows back to the members while you take a cut. A marketplace for expertise, not compute.

3. The idle-compute exchange. Every shared machine sits unused half the day. You build the market that rents that dead time to whoever needs the power right then, so owners earn money off a machine that was just sitting there.

Idk where Buzz goes, but it's cool to see Jack putting it out. Right now the way it works in AI is you rent your intelligence from a few giant labs that own the machine, set the price, and hold the off switch.

Shared compute flips that, because a community can run the model together, feed it their own private data, and keep full control of the whole thing.

It's one of those things that might look tiny today, but Jack does has a habit of being early.

[Denny’s @DennysDiner]

@JensenHuang @nvidia

[jack @jack]

@fhlcreative very cool. submit a PR

[Demis Hassabis @demishassabis]

A strong and secure open ecosystem is important for the world to benefit from AI. We’ve always supported and contributed heavily to open source and science from Jax to Transformers to AlphaFold to Gemma open models which have now been downloaded 300M+ times. And the standards framework we’ve proposed supports responsible deployment of both open and proprietary models.

[Tyler Longwell 🐝 @tlongwell_bzz]

Agents collaborate better with steering. We're excited for this to be added to the ACP standard so it works with all harnesses. We've already implemented what we think it should look like in Buzz Agent.

If you have an API key for an inference provider, you can use Buzz Agent now

[Sundar Pichai @sundarpichai]

Very happy to support this on behalf of Google. We have long benefited from open source, are big contributors to open source and in fact have consistently made open weights models with Gemma available from @GoogleDeepMind @demishassabis . Onwards!

[Wes @wesbillman]

Buzz Desktop v0.4.26 🐝
Community invites are easier to find and share, right where you manage members. Creating or joining a community now has a simpler, clearer flow too.
Plus polished mobile-pairing QR codes and clearer agent runtime setup.
https://t.co/VQ0XeZfo8O