Kimi-maker Moonshot AI targets $2 billion in annual revenue


One of China’s most prominent AI labs, Moonshot AI, believes it can turn its popular open-weight model into serious sales growth. On Friday, Bloomberg reported that the lab is targeting $2 billion in annualized revenue by the end of the year, double the company’s reported revenue run rate for August. It’s an aggressive goal that reflects the success of the company’s K3 model since its release this summer.

While K3’s usage figures have declined slightly in recent months, OpenRouter data currently shows as many as 300 billion tokens being generated each day by K3 models on the system.

Moonshot’s projected revenue is still dwarfed by that of OpenAI and Anthropic, which recent reports put at $40 billion and $65 billion respectively. Because Moonshot’s model weights are freely available, the company has far lower margins than its closed-weight competitors. The rising projections show there’s still money to be made from open-weight AI models, even if they’re not as lucrative as closed-weight frontier models.

Still, Moonshot’s model development practices remain controversial — if not downright illegal. Earlier this week, Anthropic accused the company of a long-running model distillation campaign that routed nearly 300,000 requests from Kimi directly to Claude Opus, effectively serving Opus in place of Kimi’s own models. In total, more than 23 million responses were collected from Anthropic models for use in Moonshot’s training, the company alleged.

Android Privacy: How to Block Apps From Gathering Your Data


Your phone knows more about you than even your best friend does. It knows where you slept last night, what apps you open first thing in the morning, and how long you scroll before going to bed. So it’s reasonable to ask: who else sees that information? That is essentially what Android privacy is about – deciding who gets a look at your daily life and who doesn’t.

The good thing is that Android provides you with actual tools for drawing that line. You just need to know where they are and how to use them. Let’s go over it step by step.

Why Android Privacy Settings Deserve a Closer Look

Most people will install an app, tap ‘Allow’ a few times, and then go about their business. That’s completely reasonable since no one wants to go through an Android permissions list before checking the weather. However, this behavior accumulates.

Many applications ask for permissions that have nothing to do with their main function. This alone doesn’t prove bad intent. What it does mean is that your data is being stored out there, with companies you’ve never heard of.

By regularly checking your Android privacy settings, you change the situation. It’s a small habit that brings big rewards because it puts you back in control of your decisions instead of leaving them to default settings.

Get to Know the Android Privacy Dashboard

That’s where the privacy dashboard comes in. Android now includes a privacy dashboard as part of the system, and it’s one of the most useful features, yet most people never use it. You can locate it in Settings > Privacy (or Security & Privacy on certain phones).

The dashboard clearly shows which services accessed your camera, microphone, or location over the previous day in an easy-to-understand way. When you tap on any item, you will see the exact timestamp. For example, if a flashlight app sent in a location update at 2 a.m., that would be something to note.

To put this dashboard to work:

  1. Go to Settings and look for Privacy dashboard.
  2. Check the camera, microphone, and location icons to see how many applications have accessed them recently.
  3. To see the full list of programs, tap Permissions and check the exact time they accessed it.
  4. If something looks wrong, adjust the access as needed.

This one screen provides you with a quick and genuine overview of your Android privacy at any particular moment.

App Permission Management: Where to Start

After you check the dashboard, go to the Permission manager (Settings > Privacy). This screen organizes items so you can see every app with camera access, contacts access, and so on.

You don’t need to give your contacts to a calculator either, and a photo editor usually doesn’t need your exact location all the time. Because of this, it only takes a little effort to keep your Android privacy under control by going through this list once a month.

For programs you use only occasionally, choose ‘Allow only while using the app’ rather than ‘Allow all the time’. That single change alone helps to reduce a great deal of unnecessary background data usage.

Watching Background Data Usage and Network Activity Monitoring

The second part involves what happens after you grant access – that is, what it actually does with your connection. It is in this regard that network activity monitoring proves useful.

If you navigate to Settings > Network & Internet > Data usage, you will see the various services that are working in the background, syncing, refreshing, or sending data even when you’re not looking at your screen. You can significantly reduce this kind of unnoticed data usage by restricting background consumption, which can also help conserve battery life.

Control What Your Network Traffic Reveals

The network traffic you generate can reveal a great deal about you – such as your general location, your internet service provider, and the patterns of when and how you connect. Third parties can put this information together over time.

One way to regain some of that control is to set up a proxy so the IP address and other network information apps see aren’t directly linked to you. If you’d like to try this approach, you can buy proxies and choose which network details are shared and which remain private. This is a practical additional measure alongside the permission changes you’ve already implemented, not a substitute.

Advertising ID Tracking, Device Fingerprinting, and Other Quiet Trackers

For example, advertising ID tracking uses a unique identifier associated with your device to build a profile of your interests. You can reset it or opt out by going to Settings > Privacy > Ads.

There’s also device fingerprinting – a method of identifying your phone by combining a number of small details such as screen size, the fonts installed, and the battery level, rather than using a single ID.

Because these processes use third-party SDK tracking, the tracking code isn’t created by the app’s own developer but is included by an ad or analytics provider. Another concept, app behavior analysis, refers to how some of these SDKs examine your usage patterns in the background to predict what you might do next.

A Simple Routine for Ongoing Checks

Android privacy can never be solved in a single go. It’s more comparable to keeping things in order. By establishing a simple routine, you can keep everything in check without it becoming a chore. For example:

Frequency What to check
Weekly Privacy dashboard for recent camera/mic/location access
Monthly Permission manager
Monthly Background data usage for rarely-used services
Every few months Advertising ID reset, usage access permission list

None of these steps take more than a few minutes, and together they build a habit that keeps your information mostly in your own hands. If you’re just getting started, don’t try to do everything at once – pick one section from this guide, work through it today, and come back for the rest next week. Your Android privacy setup will get stronger with each pass, not because you did it perfectly, but because you kept checking in.

RIP Pixel Tablet: Google has officially pulled the plug


What you need to know

  • Google has officially removed the Pixel Tablet from its online store after listing it as out of stock.
  • The Pixel Tablet has also disappeared from major retailers including Amazon and Best Buy.
  • Google reportedly canceled plans for second- and third-generation Pixel Tablets due to sales and profitability concerns.
  • Existing Pixel Tablet owners will continue receiving software updates until mid-2028 despite the lineup’s end.

The Pixel Tablet is finally dead. Like, properly dead dead.

Google launched the Pixel Tablet back in 2023 as a hybrid device that could work as both a traditional Android tablet and a smart home display when placed on its charging dock. At $499, the Pixel Tablet offered a pretty interesting combination on paper, but reactions to the device were mixed after launch.

Google reportedly had plans for a second-generation Pixel Tablet in 2025 and even a third-generation model in 2027. But amid poor sales and profitability concerns, the company reportedly pulled the plug on those plans back in 2024. Despite that, the original Pixel Tablet remained available through the Google Store and retailers for quite some time. Until now.

The Google Pixel Tablet showing a picture of a deep blue hydrangea, pulled from Google Photos while docked

(Image credit: Nicholas Sutrich / Android Central)

As spotted by Jetstream, Google has officially removed the Pixel Tablet from the Google Store. The tablet was listed as “out of stock” until a few days ago, but the product page has now been removed altogether, effectively confirming that Google is done selling the device. The Pixel Tablet has also disappeared from retailers, including Amazon and Best Buy.

Apple CEO John Ternus says the best AI device is still the iPhone


Apple’s new CEO John Ternus used the opening of the company’s Surprise and Shine event Wednesday to make its AI strategy clear: the iPhone is already the best AI device out there, and Apple cares more about data privacy than its rivals.

The comments come as Ternus takes the reins at Apple from Tim Cook, who is now executive chairman, and offer a clear picture of how the company plans to compete in the AI era. Instead of building new hardware for AI, Apple wants to make the iPhone the central way consumers interact with the new technology.

During his introduction at the Cupertino event, Ternus described the ideal AI device, or “intelligent personal hub,” as he called it. He said such a hub would have a broad understanding of a user’s personal context, always be with them, and have both a powerful processor capable of running AI models on-device and an internet connection to access models in the cloud.

The device would also have a large display, high-quality cameras and microphones so it could see and hear the world around it, along with long battery life, Ternus continued.

Plus, “you’d want it to be super easy to use without a big learning curve. And finally, you’d want it to work seamlessly with your other devices, apps, and services, so it feels like one integrated experience,” he said.

“In other words, you would arrive at something remarkably familiar, because there’s no product in the world better designed to be your intelligent personal hub than iPhone,” Ternus said.

Ternus also emphasized how Apple cares more about data privacy, adding that “others see [users’ personal] data as something to collect and store.” It was one of the sharper statements Apple has made about how it intends to differentiate its AI platform from the competition.

“…Honestly, trust only goes so far when your data is no longer yours to control; that’s why Apple Intelligence runs on device whenever it can,” Ternus concluded.

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Solitaire on Android Starts With the Controls, Not the Download


Playing cards in the air to represent Solitaire

When playing a game on a computer, we have the luxury of being able to see exactly what actions we are making. But that can become a problem when we scale the game down to something we have to play on our phone. If the game we are playing is a card game, we will have the issue of us accidentally covering the screen when trying to press certain buttons. And worse still, if the on-screen instructions are too small, it becomes easy to hit a button by accident and move to another part of the game that we did not intend to go to. Therefore, before jumping to the conclusion that we need another application to play a certain game, let us see if we cannot find a control scheme that suits us better by using our phone. A simple suggestion of putting a red seven on a black eight will not change the way we play the game.

If we want to play a game of Klondike solitaire, all we have to do is open up PlaySolitaire in our browser and begin playing. We do not have to download anything, and the game offers some very helpful functions such as Draw 1 and Draw 3 and the Hint and Undo buttons. With this being the case, if we decide to play a different kind of solitaire that we have installed, we will want to make sure that we are comparing apples to apples, not apples to oranges.

Start with the same game

Solitaire is a family of games, not a single one. To make this comparison, choose Klondike – it’s got seven columns, a stock of unseen cards, and four foundations being built by suit from Ace to King. Spider or FreeCell would be a different comparison, telling you more about style preferences than browsers and apps.

Make sure their stock settings match too. Draw 1 exposes one card at a time versus Draw 3 which flips three cards and lets you play the top. The second setting allows you to access different cards. If a new application feels significantly harder, check to see if this is the case before blaming control schemes or feeling like the deals are stacked against you (pun intended). Score and timer settings should be compared where they exist.

Give the small screen a proper test

Do not judge a

by the initial deal when you only have a few cards in each column. Play until you get a longer sequence and see if you can still read the exposed ranks and choose the card you want. Try moving an entire valid sequence as well as a single card. A pretty layout in a screenshot goes away when several columns grow.

Try holding your phone in the way you normally do. Can you reach the stock without changing how you’re holding it? Are undo and new game far enough apart that you won’t mix them up? If rotating the phone changes the layout, see which orientation makes the cards easier to read. These are all personal usability things, not an argument that every app is better than any website, or the other way around.

Separate a bad move from a bad touch

Suppose that you intend to lay a red seven on a black eight, but grab the adjacent card instead. That is an input mistake, not a strategic one. Return to the browser example’s Undo control, reverse the move if one occurred, and try again deliberately. Repetition of selection errors is a valid reason to compare another layout.

A legal move that turns out to be unhelpful is a different case. Undo can get you through to checking alternative moves, while Hint can spot an available move when you have failed to spot a move. Neither is a guarantee of a winning deal. You should double-check what similarly-named controls in an app you are trying do, and whether their use has any restrictions.

Check what an installation would add

An app may be worth it if there is a key feature you want, such as a preferred layout or a clearly stated availability of an offline mode. You should read about the listing and payment terms rather than expect everything you have seen on a browser to install without ads or grant extra permissions on top. A free download and a universally free experience do not state the same conditions.

Reviewing requested permissions in the same practical manner is a matter of your choosing. On Android, open Settings and discover the game under Apps, examining Permissions; the exact path can vary per device. Ordinary card moves do not explain permissions for your contacts or microphone. If a permission request does not seem related, look up what the developer stated before letting the app do that. Using a browser does not let privacy concerns vanish, either.

Choose for the situation where you will play

For regular online play, having a bookmark is as simple as choosing a way back to the game. Chrome on Android also has the ability to create home screen shortcuts from a menu. Wording of items in a menu can change per versions, and a shortcut that opens a website is not a certainty that the game will work offline.

If you want solitaire but a flight or poor reception is expected, verify offline support ahead of time. Opening the game and new deal with WiFi and mobile data off is preferable than trusting something that happened to open. Instead, you should choose the version that lets cards be most readable, and the move most easy to make. The useful comparison is the next round you have actually played, not the number of features listed on a download page.

Samsung Galaxy Z8 foldable sales up 30% over Fold 7, but the Flip 8 captivates new users


What you need to know

  • Samsung highlights achievements by its Galaxy Z8 series in 2026, stating the Fold 8 and Fold 8 Ultra sales are topping the Fold 7 by 30% with “high demand.”
  • While the Flip 8’s sales are far lower, Samsung states the clamshell is succeeding as an entry into foldables, and it’s also successfully getting users to switch to the Korean OEM.
  • The company also highlights hardware changes in the series, such as the Fold 8’s light 201g weight, the bigger 5,600mAh battery in the Fold 8 Ultra, and more.

Samsung is highlighting the achievements of the Galaxy Z8 series, as it notes higher sales and the “highest share of buyers” for one phone.

Today (Sept 8), Samsung published its official insights into the Galaxy Z8 series following the trio’s launch this summer. Among its shopper analytics, Samsung states consumers have enjoyed the Galaxy Z Fold 8’s “thin and light design for greater portability.” Alternatively, consumers preferred the Fold 8 Ultra for its larger display. It seems the most common feedback Samsung received was that the Fold 8 Ultra’s display reduced the need to carry a tablet.

Phil Schiller’s App Store exit reportedly driven by wariness over future plans


Why is longtime Apple executive Phil Schiller stepping down from his role as the head of the App Store?

Bloomberg’s Mark Gurman reports that Schiller’s decision — he will remain involved in the company as an Apple Fellow working on unspecified projects — was driven in part by a desire to spend more time with his family and on philanthropy.

But apparently there was another factor in Schiller’s thinking: New CEO John Ternus and services chief Eddy Cue seek to improve App Store margins and bring in more recurring revenue.

Of course, Apple’s management of the App Store, as well as its share of App Store payments, has been an ongoing source of developer criticism and even been the subject of major lawsuits.

In Gurman’s telling, there wasn’t a big fight over Ternus and Cue’s strategy. But Schiller believed that trying to squeeze more profits from the business would only increase conflict with governments and developers, so he decided to step down and avoid getting involved.

Unified Conversions Solutions for iGamin


Google Analytics screenchot

A unified conversion reporting platform is a system that combines advertising with CRM and website-event data. Marketers extract the data and identify which campaigns generate an ROI worth continuing with. The goal is revenue rather than clicks or leads. Specifically, conversion solutions should excel at:

 

  • Server-side tracking
  • Multi-touch attribution
  • Data normalization
  • Connecting marketing activity with commercial outcomes

 

Those principles are essential to iGaming, where driving customer engagement and having a 360-degree view of players is more than simply seeing how many people signed up and deposited money today.

 

Read on for a comprehensive guide covering unified conversion solutions for iGaming and the conversion and attribution reporting platforms that turn the data into actions.

 

What Are Unified Conversion Solutions for iGaming?

Essentially, a unified conversion solution is a measurement and reporting system that connects player acquisition data with actions and financial outcomes generated after acquisition. The goal for iGaming companies is that player acquisition actually works, and that the ROI from player acquisition actually stays in positive numbers.

 

What’s slightly different for iGaming companies is that the data doesn’t necessarily look at app installs and online registrations. The solutions create a consistent view of the entire player journey. That journey could be from paid social media advertising or a search campaign to the native app before a player registers and eventually deposits and places a wager.  

 

The principal objective is to determine which channel, affiliate, campaign, creative, and audience produced verified players who deposited, wagered, returned, and ultimately generated sustainable gambling yield.

 

The Best Unified Conversion and Attribution Reporting Platforms for iGaming Companies

An iGaming conversion funnel normally contains several separate and specific events. Below are the top three unified conversion and attribution reporting platforms that map and track the iGaming conversion funnel better than others on the market.

AppsFlyer

AppsFlyer is the closest broad independent measurement layer with the capability to connect acquisition, app activity, web behaviour, cost and revenue data. The current Measurement Suite is specifically positioned around unifying:

 

  • Attribution
  • Incrementality
  • Revenue
  • Optimization signals across mobile, web, connected TV, PC and console

 

For iGaming operators, AppsFlyer can help attribute app installs, re-engagements, and in-app events to media sources and campaigns to see which are driving the most ROI. The event structure can be configured around operator-specific milestones such as:

 

  • Account registration
  • KYC initiation and approval
  • First deposit
  • Qualifying first deposit
  • First wager
  • Repeat deposit
  • Casino or sportsbook activity
  • Reactivation
  • Revenue or value events

 

For cross-platform measurement, the platform really excels. In 2026, the platform expanded its cross-platform capabilities through its Web Attribution product. The product connects website visits and web events to marketing sources, providing raw data for BI teams and displaying web data in cross-platform reporting.

 

AppsFlyer is also testing user-based cross-platform attribution, a model that uses a persistent Customer User ID to link events across platforms and avoids treating each device as an entirely separate player. For an iGaming operator, that could help connect a desktop registration, mobile-app installation, and subsequent app deposit to one player journey.

 

Protect360, the platform’s fraud protection feature, combines real-time blocking with post-attribution fraud detection. It can detect fake installs, bots, click and install fraud, and suspicious in-app events at device, publisher, and media-source level. For iGaming operators struggling with false registrations or manipulated attribution, it’s the perfect feature.

 

AppsFlyer is strongest for app-led or omnichannel operators that need an independent acquisition-measurement layer across mobile and web.

Optimove

Optimove is more of a player-data, CRM, and lifecycle marketing platform. It isn’t a direct replacement for a mobile measurement partner.

 

For iGaming, the solution takes historical player information and real-time web and app activity to provide data for campaign engagement, gameplay, and predictive analytics. It’s perfect for a single player view used for segmentation, campaign orchestration, and personalized experiences.

 

Optimove’s identity-resolution approach is relevant to fragmented iGaming journeys. It’s designed to link identifiers, devices, transactions, wagers, behaviour, and consent data into one player profile. 

 

Operators can take that data to recognize that an anonymous mobile-web visitor, later desktop registrant, and logged-in app player are the same person. That unified profile supports constantly updated segments based on lifecycle stage, engagement, wagering behaviour and predicted value.

 

We will say that Optimove is strongest after the player has entered the operator’s known-player environment. Operators can use behavioral triggers and journey orchestration to:

 

 

Optimove also supports multi-touch campaign measurement through its Streams functionality. It doesn’t attribute all credit to the final CRM message, but the model examines how different campaigns within a player journey contribute to the final outcome.

 

Optimove is good for known-player marketing, retention, reactivation, and cross-sell and CRM incrementality, but we will say that its limitation is that it’s not an independent paid-media or app-install attribution platform. It’s better for after acquisition.

Affilka

Affilka is the most directly linked iGaming-specific platform of the three, but the issue is that its scope is limited to affiliate management. It’s specifically designed for online casino and sports-betting affiliate programs, providing tools for managing partners, referral campaigns, player activity, commissions, payments, and reporting.

 

Affilka tracks players referred through affiliate links and associates subsequent actions with the appropriate partner and campaign. Operators can then calculate payments based on the agreed commercial model.

 

Affilka also supports CPA, revenue-share and hybrid commission arrangements. These structures can be based on FTDs, NGR, deposit values, wagering and other player-performance criteria. Essentially, it directly calculates how much an operator owes its partners.

 

Affilka’s integration model allows operators to send registrations and player activities from their iGaming systems through APIs. Its Reports API makes statistics available to operators and partners without depending solely on the platform interface or periodic CSV exports. Reports can also be supplied in formats including CSV, JSON, and XML.

 

Affilka is best for iGaming operators whose acquisition strategy depends heavily on affiliates and who need transparent tracking, flexible commission rules, partner payments and detailed player reporting.

 

AppsFlyer is the best overall, providing more of an in-depth exploration into player acquisition and lifetime value across platforms. Unified conversion solutions for iGaming platforms should provide a reward journey that makes sense for every player and platform, with the overall goal to improve player experiences. 

Google Pixel 11 vs. Pixel 9: Two generations later, is it finally time to upgrade?


The Pixel 11 brings several upgrades over the Pixel 9, but in a strange turn of events, it also brings quite a few downgrades. One thing is for sure, though: the latest Google Tensor G6 chipset is the clear winner in terms of performance and raw power.

Most importantly, if you were to step into the store to buy both phones right now, the Pixel 9 would only cost you about $549, whereas the Pixel 11 starts at $899. The price gap is significant, leading us to question which phone is better. Two generations later, and it’s still unclear to Pixel 9 owners whether the Pixel 11 is worth upgrading to. I’m here to unearth the answer to this question.

Google Pixel 11 vs. Pixel 9: By the numbers

Swipe to scroll horizontally
Google Pixel 11 family specs

Category

Google Pixel 11

Google Pixel 9

Storage

256GB, 512GB

128GB, 256GB

RAM

12GB

12GB

Display

6.3-inch 120Hz LTPO AMOLED, 3000 nits peak, Gorilla Glass Victus 2

6.3-inch 120Hz LTPO AMOLED, 2700 nits peak, Gorilla Glass Victus 2

Processor

Google Tensor G6

Google Tensor G4

Rear Cameras

48MP wide

13MP ultrawide

10.8MP 5x telephoto

50MP wide

48MP ultrawide

Selfie camera

10.5MP

10.5MP

Battery

4,985mAh, 30W wired, 25W wireless (Qi2)

4,700mAh, 27W wired, 15W/12W wireless (Pixel Stand/Qi)

Connectivity

5G, Bluetooth 6, Wi-Fi 6E, eSIM-only (US)

5G, Bluetooth 5.3, Wi-Fi 7, nano+eSIM,

Dimensions & weight

152.8 x 72 x 8.6mm

197g

152.8 x 72 x 8.5mm

198g

Colors

Frost, Pistachio, Hibiscus, Obsidian

Obsidian, Porcelain, Winter

Google Pixel 11 vs. Pixel 9: Cold hard specs

The Pixel 9

(Image credit: Derrek Lee / Android Central)

Looks-wise, the Google Pixel 11 and Pixel 9 are very similar, but the former’s brighter colorways and all-glass camera bar stand out distinctly. Apart from that, both Google Pixel phones are the same size, each with a 6.3-inch HDR10+ OLED display. Neither Pixel has an LTPO panel, so the variable refresh rate can’t drop below 60Hz.

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Disappointingly, the Pixel 11 misses out on HiLight, a standout feature of the Pixel 11 Pro and Pro XL. It also comes with Wi-Fi 6E instead of Wi-Fi 7, which is found on the Pixel 9. Google did upgrade to Bluetooth 6 on the Pixel 11, thankfully, so the Pixel 9’s Bluetooth 5.3 is quite outdated by comparison.

Google Pixel 11 product photos on Android Central

(Image credit: Apoorva Bhardwaj / Android Central)

Battery and charging are significantly better on the Pixel 11, jumping from the Pixel 9’s 4,700mAh cell, 27W wired charging, and 15W wireless charging speeds to a 4,985mAh battery, 30W wired charging, and 25W wireless charging. Pixelsnap (or magnetic Qi2) is one of the best features of the Pixel 11, something the Pixel 9 lacks entirely.

XDOF, just three months out of stealth, is in talks for a Series B at a $1.2B valuation


Less than three months after emerging from stealth, XDOF, a startup that collects real-world teleoperation data for training general-purpose robots, is in late-stage talks to raise a Series B at a valuation of about $1.2 billion valuation led by 8VC, several people with knowledge of the deal said.

XDOF was co-founded by UC Berkeley researchers Philipp Wu (CEO) and Fred Shentu (CTO) in 2024. TechCrunch reported on the startup’s $70 million Series A in June, with participation from Thrive Capital, Andreessen Horowitz, Lux, and Spark Capital. XDOF wasn’t planning to raise again so soon after that round. But the company’s rapid growth — with annualized revenue approaching $50 million — prompted VCs to approach it about a new round, the people said.

TechCrunch was unable to learn the total capital being raised or whether the valuation includes the new funding. The terms of the deal are not final and could still change.

XDOF and 8VC didn’t respond to our request for comment.

The startup aims to build the data pipelines, collection tools, and annotation systems that frontier AI labs and robotics companies can’t easily build themselves, essentially acting as an outsourced data-supply chain for the robotics industry.

As a PhD student, Wu was studying how robots learn from large datasets. One big impediment to his research was the lack of “large-scale data to work with,” he told TechCrunch in June.

So he teamed up with Shentu on a project called GELLO, a low-cost teleoperation system that allows a human operator to control a robotic arm remotely in order to generate training data. Their work led to an influential paper in robotics.

That research formed the foundation for XDOF, which investors now describe as the Scale AI or Mercor for physical robotics, a reference to the data-labeling giants that helped fuel the AI boom. Unlike LLMs, which initially trained on the entirety of the internet, physical robots don’t have an equivalent real-world dataset to draw from, making data collection a critical bottleneck to building general-purpose machines.

XDOF is partnering with UC Berkeley’s AI Research lab to release what it believes is the largest collection of high-quality robot training data ever assembled, dubbed ABC

To capture this data, XDOF combines remote robot teleoperation with human collectors who wear sensors to record everyday tasks like folding clothes and flattening boxes.

The startup plans to hire and train teams of data collectors worldwide, including teleoperators who steer robots remotely and egocentric operators who wear body sensors to capture movement data.  

XDOF previously told TechCrunch that it is already working with 20 customers, including several frontier AI labs.

Other startups attempting to collect real-world data for robot training include Mecka AI, as well as human-data platforms expanding beyond LLMs, such as Scale AI and Micro1.

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