personal opinions only, @ansa_research @bitrobotnetwork

Joined July 2021
218 Photos and videos
jnthnvctr 🤖 retweeted
We’re excited to partner with BitRobot Network, Lightwheel AI, Singapore Institute of Technology and contributors like Jie Tan (Deepmind), Steve Xie (Lightwheel), Michael Cho (FrodoBots), etc. Looking forward to push the boundary of humanoid loco-manipulation in this Humanoid IKEA Assembly Challenge!
Can humanoids assemble IKEA furniture? We’re inviting researchers to test their policies at the Humanoid IKEA Assembly Challenge at @ieeeras IROS 2026. Co-organized with @UnitreeRobotics, @LightwheelAI, @singaporetech, and more. We’re providing all the resources, more info ↓
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It’s time to build (ikea furniture)
Can humanoids assemble IKEA furniture? We’re inviting researchers to test their policies at the Humanoid IKEA Assembly Challenge at @ieeeras IROS 2026. Co-organized with @UnitreeRobotics, @LightwheelAI, @singaporetech, and more. We’re providing all the resources, more info ↓
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jnthnvctr 🤖 retweeted
The world's open robotics lab is entering its next phase. Contribute robotics work. Level up your lab access. Applications open soon.
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jnthnvctr 🤖 retweeted
May 4
The future is agentic and robotic 🤖
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Come see what we’ve been cooking!
See you at @consensus2026 next week! We’re unveiling the latest RoboCap hardware updates and showcasing our first-ever Agent Kit — an open-source SDK that lets anyone build and operate agents to control a rover. Tune in!
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jnthnvctr 🤖 retweeted
See you at @consensus2026 next week! We’re unveiling the latest RoboCap hardware updates and showcasing our first-ever Agent Kit — an open-source SDK that lets anyone build and operate agents to control a rover. Tune in!
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jnthnvctr 🤖 retweeted

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jnthnvctr 🤖 retweeted
1/ Introducing SN/08: RoboPlayground on TeleArms. We're bringing robotics training into simulation, turning arm manipulation tasks into mini-games anyone can join. No hardware required. Complete tasks and earn rewards while feeding real robotics R&D. ↓
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jnthnvctr 🤖 retweeted
This is precisely the reason that I have been so supportive of open-source over the years. It is an insurance policy against both tyrannical governments and the death throes of the industrial-era nation state, the latter of which I fear we are living through. Absent the oh-so-careful navigation of the narrow path (which I tried), it seemed inevitable that closed-source models would be captured by USG and thus subject to all of USG’s many mood swings, and thus intrinsically unreliable for both businesses and other countries. Alas, I did what I could to help us walk the narrow path, as did countless others. But the odds were always stacked against us. The hybrid open/closed model world was a good future. It would mean that AI is an intrinsically profitable business, favoring Western and especially American capitalistic institutions. Yet the power of the closed labs would be checked by open-weight models that, while behind the cutting-edge, provided balance. This supply chain risk designation will render closed-source models less attractive to many customers worldwide. The regulatory risk is now extremely high. USG cannot unfire the gun that it has fired—or if it can, doing so would take an extreme measure of skill, determination, and sensitivity that I do not think will be forthcoming. Thus the balanced open/closed world seems less likely on the margin, and instead it is likelier that we live in the open-source-dominant world now. This world probably favors China, because they have a political economy more favorable to large-scale subsidy of what is essentially digital public infrastructure. It also probably favors Chinese-style digital and physical surveillance (but made all the more pervasive and capable with advanced AI), since the catastrophic misuse risks of open source are higher. Chinese-style institutions have an overall structural advantage in this future, it seems to me, and Western institutions have a structural disadvantage. You can argue this has always been true, but USG just increased the likelihood of AI futures where the US is at an inherent disadvantage. And this is to say nothing of the damage to the business environment, the AI industry, etc., about which I have spoken earlier. The future is likelier to be more decentralized, more confusing, and more dangerous than it was a few weeks ago. Yet it also may be brighter; it is probably a higher variance future than the steadier transition of the narrow path. Perhaps you like that trade off. Nonetheless, we have probably been knocked off the narrow path, and the odds of a “normal” transition to the era of machine intelligence are now meaningfully lower. Humans are living through moving history once more.
Feb 28
It’s all open source models from here. American AI companies are simultaneously fighting Democrats (by automating blue jobs), Republicans (by rankling the US military), and China (by fruitlessly combating distillation attacks). Solve for the equilibrium: open source models become the only trusted models. Centralized American AI burns bright, makes a ton of money, but eventually gets outcompeted by the privacy, freedom, and trust of decentralized local AI.
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jnthnvctr 🤖 retweeted
Crypto holds the key to quantum resilience, yet this is often overlooked. At @plcapital we've made several bets in the space (denoted by an *) particularly around FHE. We consider FHE a bet on quantum resilience 🧵
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jnthnvctr 🤖 retweeted
A good summary of where Gorsuch and Roberts are at is: "With Congress neutered, Presidents now decide what big thing they want to do and look for some obscure statute never intended to authorize it, that they can stretch. That's not faithfully carrying out Congress' wishes."
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jnthnvctr 🤖 retweeted
Founders obsession with raise amounts at stupid valuations is just irresponsible ego maxing. I raised about 1.5m for @gvrn_ai @ about 10m in early 2024 from frens and close VCs only. No road show no announcements. I exited them all out (I’m still in) at 1.5x in June 2025 bc I wanted to do some non profit work and I didn’t think they should underwrite that. I was offered a 50m round and a 100m round in 2025. Turned down bc I didn’t think I wanted to sell what I considered a public good and didn’t realistically think I could grind out a 500m M&A outcome anyway with me and my cofounder having newborns. And the alternative was a token which was basically selling smoke to attract retail exit liquidity. GVRN today isn’t a unicorn. Nobody is buying it for 9 figures. Nor does it have an artificial 9 figure valuation. Nor is it for sale. But I’m proud of the actual impact we’ve had on the space. The company has one of the finest crop of young lawyers with deeply legal, commercial and strategic minds advising as general counsel to projects across the industry, led by the safest pair of hands I know @LegallyBullnde. Watching @0xlegalbeagle, @kaiciego and @waldinoz school lawyers with 10 years on them just by nature of being dynamic problem solvers brings me much joy. It’s built legaltech, frameworks and various other projects with industry participants like @KaitoAI and @MeteoraAG (more on this soon) which will hopefully change the space for the better. It’s an integrated corporate services / accounting one stop shop - servicing all major jurisdictions thanks to @locomotiff_, even running visas, payroll, HR and concierge services for our HNW clients. We have close to a 100% client retention rate except where we actively find clients new providers (for instance bc we think it’s cheaper to hire them a full time GC) or we let them go (due to internal policies). And under @Vigil_eth the company keeps growing in spite of my autistic shenanigans. Ok done with shameless self and team glazing - back to work.
Another incredibly underwhelming launch today: Aztec They raised $157M and are now trading at $59M market cap, $215M FDV. Even that feels too expensive. Their public sale two months ago was at a $480M FDV, immediate losses of over -50%. Retail is down bad. a16z and other tOp TiEr investors are probably down even worse. This reflects everything that’s wrong with the industry: - Massively overfunded VCs bidding valuations to infinity - Founders with ego issues allowing bids to infinity - Too much focus on infra and academic experiments instead of real businesses with revenue - Blind public investors aping for quick flips without understanding what they’re buying Stop complaining, because as long as you won't show more discipline with your investments, nothing will change.
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jnthnvctr 🤖 retweeted
I'm so excited for this. I received the RoboCap from @frodobots and @BitRobotNetwork. It's a hardware-synchronized egocentric capture device that has been the category of device I've been dreaming of buying forever. I'm in the process of hooking it up to @rerundotio with a hand tracking pipeline. Right now, this is very basic triangulation frame-to-frame estimation, so the temporal smoothness and quality are a bit garbage, but I wanted to get something working asap. Half the reason I work on these things is because of my desire to have a Project Aria-like device that I can actually use without being gatekept. So far, this hasn't really existed; it's either just a simple monocular/stereo camera or a VR headset that is bulky and extremely uncomfortable to wear. With the RoboCap, I can finally capture real data over long time horizons with enough sensors that capture sufficient viewpoints. The front-facing and side-facing cameras are perfect for SLAM, and the downward-facing ones are just 🤌 for not just hand tracking but full-body tracking (which is what I'll be working on next). I'm really, really excited about this hardware and will be doing my best to recreate the Project Aria-like experience on it (simultaneous localization and mapping, hand tracking, body tracking, depth estimation, etc.). My goal is that if you have a RoboCap, you can just output all of this useful data in @rerundotio rrd format from the raw data.
I've been working a lot with SAM3 and the Momentum Human Rig (MHR). I finally integrated it into the data I'm working with @rerundotio. The progression I've taken looks as follows SAM3 SAM3D-body on 1. a single image 2. a set of multiple images 3. a single video 4. A multiview video capture I took inspiration from the SAM3D-body paper and built a multiview fitting optimization pipeline. This pipeline involves using the 2D keypoints from the single-view pipeline, triangulating them, and employing an L1 loss between the 2D/3D keypoints. The temporal stability isn't great, so that's the next portion I'm going to focus on. One really frustrating thing about SAM3D-body is the lack of per-joint confidence values. It makes it harder to deal with occlusions. I'm probably going to need to use a separate model, or maybe add a confidence head.
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jnthnvctr 🤖 retweeted
Meet Sprout. Today, we’re releasing a new kind of robotics platform. One designed to move out of the lab and into the real world, closer to the people who will shape what robots become next. [1/4]
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jnthnvctr 🤖 retweeted
YES BC THE STUPID BANKS WON'T PAY INTEREST ON DEPOSITS. If we can't have yield on stablecoins, it's because our representatives in congress very clearly decided that hurting americans is ok bc the banks give them enough lobbying dollars to not care.
🇺🇸 NEW: BofA CEO Brian Moynihan warns interest-bearing stablecoins could pull as much as $6 trillion from US banks, reducing lending capacity and pushing borrowing costs higher.
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jnthnvctr 🤖 retweeted
17 Dec 2025
Belated life update: I’m back in the Solana ecosystem as Head of Marketing at @BitRobotNetwork. If you saw robots fighting at Breakpoint — that was us. It was our Trojan horse to drive curiosity about robotics. At BitRobot, we’re building the world's open robotics lab. We partner with researchers and robotics labs to collect the right data, test robots in the real world, and improve their models faster by coordinating contributors, hardware, and compute across a global network. Building this onchain allows us to track who did what and reward contributors, like Scale AI, but built specifically for robots. Solana is also where DePIN trailblazers like Helium, Render, Hivemapper, and GEODNET took root, and where DePIN robotics (or DePAI) naturally belongs. Since joining in August, it has been a privilege to work with @amanda0x @jnthnvctr @micoolcho and learn how crypto can meaningfully impact robotics’ biggest bottleneck: data. In the last few months, we’ve: - shown up and keynoted at @corl_conf, the largest robotics learning conference - announced a $5M Grand Challenges Fund to support open-source, moonshot embodied AI models - launched Subnet 5 with @virtuals_io, collecting 1M household tasks to train robots via the SeeSaw iOS app - partnered with @huggingface to open-source the Earth Rovers platform from @frodobots - and pulled off the first global robot cage fight in the UAE with @UFBots at @SolanaConf NFTs → DeFi → robotics wasn’t on my career bingo card, but it feels right to build again on Solana, this time in DePIN and working on something that can radically transform industries. If anyone is interested in being robot-pilled or collabing on building open robotics R&D, let's chat!
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RT @toly: Under the hood of this super fun demonstration is a DePIN program that’s collecting petabytes of robot real world trainin…
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jnthnvctr 🤖 retweeted
12PM GST - Investor Opening Match Two OG Solana investors step into the cage to see who’s got the skills to command and back the next founder: @KyleSamani ( @multicoin ) vs. @mdudas ( @6thmanventures ) Who takes the first win of the Robot Arena?
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jnthnvctr 🤖 retweeted
11 Dec 2025
im going to beat the shit out of Dudas at noon today
12PM GST - Investor Opening Match Two OG Solana investors step into the cage to see who’s got the skills to command and back the next founder: @KyleSamani ( @multicoin ) vs. @mdudas ( @6thmanventures ) Who takes the first win of the Robot Arena?
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jnthnvctr 🤖 retweeted
It's FIGHT DAY at the Robot Arena at @SolanaConf The first-ever @ufbots robot cage fight in the Middle East is happening live from the Etihad Arena, and streamed on the BitRobot X account for everyone watching around the world. Here are your fighters ↓
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