wonzo

how @karunkaushik_ been moving

@karunkaushik_ I didn’t know u were that retarded

There’s been a lot of allegations against Delve. But we haven’t been able to share our side of the story until today due to ongoing cybersecurity and forensics investigations. Maintaining customer trust is central to everything we do. That said, we grew too fast and fell short of our own standard. To our customers, we deeply apologize for the inconveniences caused. We take these allegations seriously and have made changes: a new auditor network, free re-audits and pentests for all customers, enhanced transparency in audit communications, and more. However, we also want to set the record straight on the anonymous attacks. The evidence we have points to a targeted cyberattack from a malicious actor, not a “whistleblower.” We believe the attacker purchased Delve under false pretenses, exfiltrated internal company data, and used it to launch a coordinated smear campaign. The posts rely on a mix of fabricated claims, cherry-picked screenshots, and stolen data taken out of context. See the link in the comments for more details. Delve was built to modernize compliance. We are not going anywhere and are committed to building what's next.

@levelheaded_94 @fpv_labs Can we see a video of the transfer onto a robot ?

After 8 months of building in stealth and testing our infrastructure on 10000+ hours of real-world data and hundreds of unique environments, we're bringing @fpv_labs into the open today. FPV Labs started with the following bet - if human data proves to be the underlying factor that determines scaling laws in general-purpose robotics, it will trigger the largest economic transformation in human history, and the underlying infrastructure that captures that data will determine how fast we get there. We will achieve this by building the full-stack infrastructure for capturing, processing, transferring, and evaluating human experience into spatial, temporal, and semantic knowledge for machines. Despite all the research novelty behind ChatGPT, its success can be attributed to one foundational fact - the scaling law of transformers. We believe the same dynamics have made their way into robotics. Recent studies showed task completion rates jumping from 30% to 70% when human demonstration data scaled from 1,000 to 20,000 hours, a log-linear trend that mirrors exactly what we saw in language and vision. Seeing these emergent signs of scaling law curves in robotics, we believe we are entering the era of general-purpose robotics policies, which makes the next few years the most exciting time in the history of this field. But the library of physical interactions required to train general-purpose robot policies does not exist yet. Over the last 8 months, we've seen dozens of companies emerge in this space. We were really happy to see new companies pushing this space forward, but we also saw the same pattern repeat: every egocentric data company was making some tradeoffs between quality, scale, and diversity. We have built FPV labs on the core principle that high-quality data is orders of magnitude more valuable than sheer volume. Case in point, self-driving cars collect thousands of hours of data per day, but only a small fraction of that data is actually useful for training better models. Several studies, like RT-2, have shown that as little as 1% of data improves as much as 25% on task success. The quality and diversity of data matter a lot more than scale, so there is clearly a power law curve in the downstream impact of data. We've spent months obsessing over data quality by building our stack, discarding it, rebuilding it, and iterating until we found a formula that doesn't compromise downstream quality at scale. We believe the downstream impact here is far more profound than most people realize. Workers globally are paid around $60 trillion per year in aggregate, and a lion's share of that compensation goes to physical labor - tasks that require navigating real spaces, manipulating real objects, and negotiating the infinite variability of the physical world. Human-to-robot transfer will be one of the most important infrastructures that will shape our society in the near future, and if it works, the economic impact will dwarf every technology transition that came before it in an exponential manner and lead to the creation of goods and services we can’t imagine today. Our mission is to lay the groundwork for us to transition into this future - the future of abundance. We are deeply grateful to our earliest believers, @paraschopra and @lossfunk, who played a critical role in shaping our thinking.

@0x796F @humbavc @vsodera @spacecadet @Position_VC could've made it 6.7 :/

After 8 years of shipping hardware as a founder, I'm super excited to announce Anvil's next chapter! Anvil Robotics has raised $6.5M led by hard-tech veterans Matter Venture Partners with participation from @humbavc, @vsodera , @spacecadet , @Position_VC

@azurephoenix_ @realDonaldTrump

@aaawonzo @realDonaldTrump R u a Bot? Yes you are. Fuck off

thanks so much @realDonaldTrump !! I’m so tired of winning! longest #BWI line I’ve ever seen in my life

bros 1 carti album away from shit falling apart

@_joe_harris_ depends on the types of robot. There's a huge data problem in dexterous manipulation

everyone says robotics needs more data. thats wrong. there's more useful robotics data sitting in S3 buckets right now than most foundation model teams have ever trained on. every robotics company that's been deploying for more than six months has the same problem. their robots generate sensor data on every single mission: IMU, camera feeds, lidar, joint states, behaviour logs. terabytes of it. real-world production data from real environments. it all goes into storage and mostly stays there. meanwhile the foundation model teams are spending millions on simulation environments and teleoperation rigs to generate training data from scratch. manufacturing the thing that production teams already have. except the production data is real. it has noise, edge cases, actual physics. but it's trapped. different sensors, different formats, different schemas, different robots. nothing is labelled, nothing is standardised, nothing is searchable. to actually use any of it you'd need to normalise it, time-align it, index it, make it queryable, embedded. the data bottleneck in robotics isn't scarcity. it's accessibility. the data is there. nobody can use it, fast, when they need it.

@ycombinator @Starcloud_ Unicorn pre anything. Actually idiotic

Congrats to @Starcloud_ on their $170M Series A at a $1.1B valuation! They're building data centers in space—just 17 months from YC Demo Day to unicorn. They launched their first satellite with an Nvidia H100 GPU last year and are now developing Starcloud-3, a spacecraft designed to launch from Starship that aims to be cost-competitive with Earth-based data centers for AI inference. techcrunch.com/2026/03/30/sta…

@azurephoenix_ @realDonaldTrump r u retarded?

@aaawonzo @realDonaldTrump It’s Baltimore a blue shit hole that doesn’t want ICE help and Democrat scum in Congress refuses to fund TSA AND ICE TOGETHER. Fuck you america hate communist dem

we are looking at (approximately) negative fucktillions of goybucks

@MeekMill Nah j use AI

I need a GitHub too! Is it like that or nah?

@HotAisle Sounds based

@aaawonzo you'd be surprised at how many of the greatest minds, people who built the internet we know today, were at those parties.

I did this once in the late 90's at a party in the middle of a forest north of SF, in Willits, CA (iykyk). It was back when you could buy this legally off the internet from "research labs." Nothing as fancy and scripted as this. Just at a nice location surrounded by a bunch of other like-minded individuals. Take a pinch and go. Only lasts a few minutes, but what a great experience to unlock parts of your brain you never knew were there. I still remember the feeling. For me, this experimentation is akin to a child spinning in circles until they fall down from the high. Since the dawn of time, humans have been drawn to these things without even knowing it. Once was enough, never felt the need to continue doing it.

@StringerViral @realDonaldTrump Yup feel free to post it with my credit.

@aaawonzo @realDonaldTrump Hello @aaawonzo, I hope you are fine . I am a journalist with a London based news agency . Is this your video ? We would like to use it for our coverage and to distribute it with our media partners with Credit to you . Can you please follow me back for DM . Thanks

what’s happening in this country is no coincidence. the most dangerous adversary to the American empire isn’t China, Iran, or Russia. It’s systemic polarization. In Washington’s Farewell address he warned that party spirit would divide the country, encourage "alternate domination" of opposing factions, and prioritize party power over the common good. sound familiar?

@ReikoSPCT Yup I did

@aaawonzo Thank you very much! We appreciate it and will credit it to you/@aaawonzo. Did you film it on Sunday, March 22?

@CNNSarahD Please quote me with “Those who polarize Americans wish to destroy America!”

@aaawonzo Hi - hope you are doing OK! My name is Sarah Dewberry, and I am with CNN. Is this your video? If so, does CNN have your permission to use it across our platforms and affiliates with credit to you? Many thanks!

@ReikoSPCT 1. Yes I did 2. Yes you may— cite me and make sure you quote me “Those who polarize Americans wish to destroy America!”

@aaawonzo Hi, I’m Reiko with Spectee, an online news agency. 1. Did you record/own this video yourself? 2. May we and our media partners use it with credit/@aaawonzo? 3. Please let me know the filming date/time. Thanks.