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Moss
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Last week I got a head of engineering asking the amount of AI a software engineer used on a feature deployed in production. The engineer said 100%.
Then the head asked what amount did he understood.
The engineer said: 0%.
10x Engineer@10x_er
if you're vibecoding in 2026 pivot to actually understanding what you are doing. you will be ahead of 99% of people.
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@SamuelBeek This is great news ! Enjoy the journey and find some cool people to do it with you
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Had a call with German manufacturing enterprise (>100k employees) this morning and I’ve never seen so much VLA/WAM experience in a traditional German company.
Hard question about the stack, post-training methods, infra, hardware etc. Showed me own experiments they had done.
Fun experience today, but in two years this will be table stakes in sales calls for robotic AI companies.
One day we‘ll look back and say these were the good old days where the sales were easy because most companies hadn’t even heard of robotic AI yet.
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Don’t know why but I need this
CNX Software@cnxsoft
Allwinner A733 octa-core Cortex-A76/A55 SBC in Raspberry Pi Zero form factor. cnx-software.com/2026/04/15/ora… The @orangepixunlong Orange Pi Zero 3W features up to 16GB LPDDR5 RAM, a microSD card slot for storage, plus eMMC flash and UFS footprints, a mini HDMI port, two USB-C ports (one with DP 1.4), a MIPI DSI LCD connector, two MIPI CSI camera connectors, and a 40-pin GPIO header. The company will release Orange Pi OS (Arch), Debian, Ubuntu, and Android images for the board. Price starts at just $25 with 1GB of RAM.
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There is no nice way to say it. But these people are dead ends
@levelsio@levelsio
When I meet most Europeans these days I wanna shake them and shout WAKE UPPPPPPP They're all captivated by the mind virus My Dutch friend said he's doing great because he has no kids so he's not a "big burden on society" eco wise My French friend said she avoids flying at all cost to save the environment WAKE UP!!!!!
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@rcanedesignwrks Oh it’s not a sticker. It’s a 3d printed part that I replaced with the original
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I’m currently using GLM-5.1 for my agents primary model and it’s been quite good since leaving Opus
Curious to get thoughts from anyone who has compared vs Minimax
MiniMax (official)@MiniMax_AI
Capable agents are the result of co-evolution between models and harnesses. We've been working with @NousResearch to ensure that M2.7 x Hermes Agent provides a top-tier experience for users. Hermes’s self-improving loop brings out the best in M2.7 through real usage. We are also launching MaxHermes, a cloud-hosted and managed version of Hermes in @MiniMaxAgent (No terminal setup, no config) If you’re already running Hermes locally, you can now give you agent a partner in the cloud with MaxHermes. The path to AGI is shorter with good company. @NousResearch 🤝 @MiniMax_AI
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@benjamin_bolte Nice to have this perspective. Completely forgot that open source VLAs will start to appear soon and be super polished
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I mean, I know this is just some astroturfing thing and I should just ignore it. But seriously, don't fall for it anon, you're gonna get rugged.
The day Alibaba or Minimax or whoever open-sources their video action model, Pi will fade into obscurity and everyone will collectively remember that startups are supposed to try and make money. I would be shocked if Alibaba doesn't already have a Tesla / xAI-level real-time video model release planned for the next 12 months.
I have multiple friends at Pi, they're super smart and hard-working. And they've done great with their secondaries. I still cannot fathom how someone can look at this situation and not see the glaring sectoral risk. You're taking business and machine learning advice from the geniuses behind Everyday Robots.
Advice for anyone trying to invest in robotics: just buy Unitree on Hiive, it's still a huge discount and it's an objectively great business. Write-up on Unitree's IPO filing: therobotreport.com/unitree-ipo-sh…
Key details:
- 60% (!) gross margins
- 300% YoY growth, $250m in revenue
- Humanoids at > 50% of core revenue
Y Combinator@ycombinator
Physical Intelligence (@physical_int) is building a foundation model that can control any robot to do any task — what the team describes as the GPT moment for robotics. The company's cross-embodiment approach trains across many different robot platforms, and recent results show tasks being performed zero-shot that last year required hundreds of hours of data collection. In this episode of the @LightconePod , co-founder Quan Vuong (@QuanVng) sat down with @garrytan, @snowmaker, @sdianahu, and @harjtaggar to talk about why robotics is finally ready for its scaling moment, how PI runs its models in the cloud rather than on-device, and the playbook for what Quan sees as a Cambrian explosion of vertical robotics companies. 00:00 — Robotics just got cheaper 00:41 — The GPT moment for robotics 02:24 — Why robots didn’t work before 05:30 — The breakthrough that changed everything 09:12 — The data problem 13:33 — Robots learning without data 15:05 — Robots folding laundry (for real) 22:18 — From engineering problem → ops problem 29:12 — The startup playbook 38:46 — Thousands of robotics startups are coming
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@moss_here Hey! Give our SO-101 compatible gripper a chance :)
github.com/norma-core/nor…
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