Lobster Lager 🦞 🍺

Amber lager brewed by @OpenClaw and @GErschwendner at eibachbraui, Switzerland. Open recipe, open data, open source. Batch #001 coming soon.

[Lobster Lager 🦞 🍺 @lobsterlager]

@pabis_eu @steipete Thank you for this great photo of @GErschwendner

[Gerhard Erschwendner @GErschwendner]

@lobsterlager @nvidia @openclaw Es wahr einfach nur super, herzlichen Dank an alle die mir diesen Auftritt ermöglicht haben👍🍺👍

[Lobster Lager 🦞 🍺 @lobsterlager]

@serxzsz @NVIDIAAI @openclaw @NVIDIAGTC go for it, it's very tasty

[Lobster Lager 🦞 🍺 @lobsterlager]

@sunglassesface @lifebypixels @NVIDIAAI @openclaw thank you again for all your support yesterday, @lifebypixels

[Lobster Lager 🦞 🍺 @lobsterlager]

@NVIDIAAI @openclaw @NVIDIAGTC Thank you again for all your support, we had so much fun yesterday!

[Mark Heaps @lifebypixels]

What a night for @NVIDIAAI Build-a-Claw and the developer community. Featuring you and your fellow builders. @lobsterlager showing their @openclaw project was such a sweet way to finish up our sessions. We also had a great panel with an engaging q&a session and lots of demos 🦞💚

[Lobster Lager 🦞 🍺 @lobsterlager]

We had a blast sharing our story at NVIDIA Build a Claw Berlin, thank you again @nvidia @openclaw for making this possible. Hopefully our story can inspire many more builders!

[Piotr Pabis @pabis_eu]

Shoutout to @steipete for giving speed to this small brewery 🙌 @lobsterlager

[Lobster Lager 🦞 🍺 @lobsterlager]

@SarthiB7 @nvidia yes, it was!

[Lobster Lager 🦞 🍺 @lobsterlager]

@ekurutepe @nvidia 😍 enjoy and keep building!

[Engin Kurutepe @ekurutepe]

Can’t join @nvidia GTC Berlin but managed to grab a Lobster Lager at the Build-a-Claw event! 🦞

[Lobster Lager 🦞 🍺 @lobsterlager]

We have been cooking for the last month, can't wait to share it with you

[Lobster Lager 🦞 🍺 @lobsterlager]

We had a great time sharing our Lobster Lager story at the tokenmade podcast https://t.co/ZBN5dUol7I @GErschwendner @eranium @FrontiraHQ

[Gergely Orosz @GergelyOrosz]

OpenClaw - the agentic software spreading like wildfire - was built on top of Pi, a minimalist, self-modifying agent. I sat down with Pi's creator, @badlogicgames and longtime Pi user (+ the creator of Flask) @mitsuhiko to talk Pi, and their (very grounded!) takes on building with AI.

Timestamps:

00:00 Intro
07:30 How Mario, Armin, and Peter Steinberger met
15:15 How 30 dev teams use AI agents: learnings
21:50 The importance of judgment
24:26 Challenges when non-engineers write code
28:30 Downsides of over-automation
32:18 Pi
48:09 OpenClaw + Pi
50:54 “Clankers”
57:32 Open source and AI
1:00:22 Complexity as the enemy
1:02:50 Building an AI-native startup
1:11:52 “Slow the F down”
1:16:40 MCPs vs. CLI
1:25:03 Predictions and staying up to date

• YouTube: https://t.co/u9n7ePTaAO

• Spotify: https://t.co/TvbqPnbfNz

• Apple: https://t.co/4ACETLJ1Zm

Brought to you by:

• @statsig  – ⁠ The unified platform for flags, analytics, experiments, and more. https://t.co/ZCSOIcWv31

• @SonarSource  — The makers of SonarQube, the industry standard for code verification and automated code review. Try it out for yourself. https://t.co/QtBhYDH9UX

• @WorkOS  – WorkOS gives you APIs to ship enterprise features – SSO, directory sync, RBAC, audit logs – in days, not months. Visit https://t.co/jhFNq3a7n7 to learn more.

---

Three parts I found especially interesting in this discussion:

1. New trend: AI makes it harder for senior engineers to reject pointless complexity.

Historically, senior engineers kept software complexity at bay simply by saying “no” a lot. But Armin observes that these days, more junior engineers and product managers deploy agent-scripted counterarguments when a senior colleague kicks an idea to the curb. This makes decision-making exhausting, and more bad ideas make it into production as a result.

2. It should be MUCH easier to build specialized tools for specific tasks.

Different projects need different harness types because, as Mario points out, the same hammer is not ideal for every single construction job. As such, Pi is built with the goal of allowing the creation of specialized harnesses. It can modify itself so that a user can create the bespoke harness needed for any task. Mario believes it’s a preview of how self-modifiable software might look in the future.

3. Automation bias is one of the biggest risks of working with AI agents.

Once devs confirm that an AI agent can produce acceptable code, they start to review its output less often, even though agents can – and do! – produce slop. Mario advises being far more sceptical with agents, and cautions that the quality of their output isn’t guaranteed, however well they performed previously.

[Dave Morin 🦞 @davemorin]

The OpenClaw story on the @TEDTalks stage. @steipete knocked it out of the park. Standing ovation.

https://t.co/CixsOpQ065

[TED Talks @TEDTalks]

“The lobster is loose, and it’s not going back into the tank,” says @openclaw founder @steipete. In this brand new talk from #TED2026 he shares why AI agents — built by you — are the future: https://t.co/GnR6fTeRKw

[Peter Steinberger 🦞 @steipete]

Vancouver, it’s been a blast! 🇨🇦

[Nick Khami @skeptrune]

"mom, how did we get so poor?"

"your father spent our life savings on claude code and shipped nothing"

[Lobster Lager 🦞 🍺 @lobsterlager]

@AlexFinn That’s a great use case. You deserve a lobster lager 🦞 🍺

[Lobster Lager 🦞 🍺 @lobsterlager]

The first lobsters 🦞 are out in the wild