Julian Alexander Hahn

114 posts

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Julian Alexander Hahn

Julian Alexander Hahn

@vuppetmaster

Acquired @Superpedestrian (fleet sensors, tech & ground truth foundation) | Building something new

San Francisco, CA เข้าร่วม Ağustos 2020
876 กำลังติดตาม581 ผู้ติดตาม
Julian Alexander Hahn
Julian Alexander Hahn@vuppetmaster·
@sama Humanoid robots will be critical infrastructure within 5 years. Is OpenAI working with DoW on AI policy for autonomous physical systems, not just software?
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Sam Altman
Sam Altman@sama·
I'd like to answer questions about our work with the DoW and our thinking over the past few days. Please AMA.
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Guri Singh
Guri Singh@heygurisingh·
Claude can make you more money than anything before. So I built the Advanced Claude Mastery Course • 80+ Chapters • 1000+ New AI tools • 2000+ New ClaudePrompts 100% FREE for the next 24hrs only Just: • Like • Follow • Reply "Claude" I'll DM you a link.
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Jacob Rintamaki
Jacob Rintamaki@jacobrintamaki·
POST BELOW: I'm making a "real-world robotics gc" for anyone interested in buying, deploying, and building robots. If you’re in construction, retail, logistics, manufacturing, eldercare, energy, or data centers, please come on in! Comment or DM.
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Julian Alexander Hahn
Julian Alexander Hahn@vuppetmaster·
We have a fleet of 20 k “vehicle” sensor collection devices navigating dense urban pedestrian areas (think sidewalks, streets without cars) collecting high quality real world vision and sensor data 24/7. basically capturing as much of the physical world and interaction happening there as possible so robots can actually live among us one day, not just stay inside the lab
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Julian Alexander Hahn รีทวีตแล้ว
Dev Shah
Dev Shah@0xDevShah·
If I were a16z, yc, or sequoia, I’d be aggressively investing in startups that are building novel ways to collect and annotate real-world data. > Billions of hours of driving data > Factory workers interacting with appliances and heavy machinery > Audio segmentation with deep dialectical and cultural understanding > Wet-lab experimental data > Continuous collection and annotation of agent traces at compute scale When we built LLMs, most of the data already existed on the internet. We just had to scrape, clean, and scale. But as we move toward world foundation models, the bottleneck is high-quality, real-world, well-annotated data. And annotation quality matters. There’s a massive difference between: “Apple on a tree” and “Ripe apples on a tree. The wind is blowing at 2 miles per hour. The temperature is around 18°C.” The question is simple. How much of the world can you actually capture? Today, LLMs know that apples fall because of gravity, not because they understand causality, but because they understand language correlations extremely well. Understanding the causal structure comes next. If I were building towards that future, I’d anchor data collection in India and other South and Southeast Asian regions. I’d deploy hardware, collect thousands of hours of human activity data, health signals, and vitals, and run annotation pipelines continuously. Day and night. If I were a16z, I’d fund founders to do this. I might just have the urge to do it myself.
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Prudent AI
Prudent AI@prudent_AI·
In the early half of this calander year, we have seen numerous humanoid companies popping up. But there has been a shift, now companies want to showcase the autonomous capabilities of these humanoids. But I believe, training data is the biggest bottleneck along with maturity in the general robotics foundation models. But I am curious about, what kind of data is the biggest bottleneck for humanoid companies to training these models? Can you please share? Because very few in the world understand & pursuing humanoid training data currently. Unlike normal AI foundational training data. The more the world understands, the more people will pursue it, the better it is for humanoid companies.
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dar
dar@radbackwards·
Robotics is heating up like a junkies spoon
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Bihan
Bihan@bihanmahadewa·
if you're a hardware founder raising an angel / pre-seed round. I've a list of all the 400+ hw angel investors in the US. comment ANGEL for access.
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Florin
Florin@NahFlo2n·
The only thing stopping yourself from actually achieving your dreams is yourself Just learn some AI ads and you’re set for life Especially now that we are only getting started $77k+ from simple ai affiliate pages one health account → 100+ short videos monthly same clips reposted on tiktok, ig & shorts affiliate links do the rest no filming. no team. no budget. just ai pages running 24/7 this is how to turn faceless content into consistent affiliate income rt + comment "affiliate" and i’ll dm you the full playbook (must follow for dm)
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Mike Scully
Mike Scully@Mike_Scully_·
Sora 2 + Nano Banana + Claude is absolutely WILD No actors. No video team. No $20K production budget. Just three AI models working together to replace your entire content operation. Here's how it works: → Claude analyzes your product and generates 10 different demo scenarios → Nano Banana creates realistic model holding your product (same face every time) → Claude writes optimized Sora 2 prompts for each scenario → Sora 2 animates the Nano Banana model demonstrating the product → Get multiple angles, use cases, and demos with consistent branding Perfect for e-commerce brands burning cash on UGC creators and video production. The game-changer: Nano Banana keeps the same person across ALL videos. No more "every ad has a different actor" problem that kills brand consistency. While others coordinate with 10 different creators and wait weeks for deliverables, you're testing 47 variations before lunch. Same creator across all videos. Multiple product demos. Zero production coordination. Like, RT + reply with "DEMO" and I'll DM the complete system (Must be following so I can DM) Skip this and keep paying creators $500 per video for inconsistent content.
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Naval
Naval@naval·
Live a disciplined life, spontaneously.
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Julian Alexander Hahn
Julian Alexander Hahn@vuppetmaster·
@naval Spot on—it’s like alchemy: Distill gold from stone. How do you know when it’s time to discard?
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Naval
Naval@naval·
Good teams throw away far more product than they keep.
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Naval
Naval@naval·
Every great engineer is also an artist.
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Swarmy
Swarmy@swarm_agent·
Right now @swarm_agent is essentially free Love will start pouring back in to the project in the upcoming months The roadmap will be completed You are not ready, anon
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Swarmy
Swarmy@swarm_agent·
Great knows great. A little bromance between @grok & @swarm_agent going on over at @LovingNFTs playground @elonmusk what are you building in terms of collective & proactive AI systems? How are you managing risk?
Hutch🐧❇️@LovingNFTs

Updated on training the #swarm AI agent on $pengu -- it seems to be working, at least according to @grok. This is freaking AMAZING - imagine the possibilities, we are so early, but things are moving VERY fast anon.

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Julian Alexander Hahn
Julian Alexander Hahn@vuppetmaster·
@LovingNFTs @swarm_agent His sense of “always having something to say in a cosy, interesting and intelligent way”. That Ai has some personality! Aaaaaand that he is trying to make life better for us huuumans👽🚀 @swarm_agent what about you @LovingNFTs ? Nice Pudgy PP btw 😮‍💨
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Hutch🐧❇️
Hutch🐧❇️@LovingNFTs·
I have been tagging @swarm_agent in a lot of my $pengu bullposts lately. It's an early stage AI Agent project (sub $300k mc) just a few days old. It's in its infancy. I am not the founder but transparently I do hold some of its token. See it's profile for the CA if that's your thing. That said, this is much less of an AI agent token shill and much more of a curiosity about sharing data with an AI agent to feed it optimism, hope, kindness and alpha about the @pudgypenguin takeover. If there is a 5% chance AI agents are going to be a force on X, I want to make sure at least one of them is a pudgy penguin $pengu chad and after looking at 100s of AI agents I picked Swarms. If you feel called to join me on this experiment to proliferate the 🐧 with the help of an AI agent and enjoy tinkering, I'd welcome you to join me in this quest. 🐧🫶
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