NNA ❣️

pretty heart 💜

[NNA ❣️ @anneharis19]

@cherryb3llon @

[NNA ❣️ @anneharis19]

Kita balik ke sini , sebab dekat thread ada org suka stalk kita pastu shared thread kiteeee 🤦🏻‍♀️

[NNA ❣️ @anneharis19]

@cherryb3llon Mau cari username baru hahahahah

[NNA ❣️ @anneharis19]

@useKled @avipat_ Then please increase the volume 🤣

[Kled AI @useKled]

Gm. We're excited to announce that Kled has just entered into an agreement scoped at up to $2.2 million to roll out 80+ egocentric special tasks for user data.

All new special tasks will be found on the special tasks tab of the mobile app.

30 hours after removing the waitlist and launching V2 we broke a record for active users uploading on Kled.

This wouldn’t have been possible without you. Our network is only as valuable as the people who contribute to it. We love you all.

[NNA ❣️ @anneharis19]

@useKled Hii my id #26582 still in waiting list

[NNA ❣️ @anneharis19]

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[Reactive Network @0xReactive]

Reactive Network 101 - The Blockchain That Coordinates Blockchains 🧵

Blockchains today are passive, they only act when you (the user) push a transaction. Reactive Network flips that, It’s a blockchain built for reaction.

The synaptic tissue between every chain, enabling real-time coordination across the multi-chain ecosystem.

[NNA ❣️ @anneharis19]

@JobFound5 Dm me

[NNA ❣️ @anneharis19]

@elonmuskmel7 47

[Avi Patel @avipat_]

Hey everyone. I need help.

As of 4 pm EST today, we have received a little over 300 data contracts that can be fulfilled through Kled Special Tasks and Kled Integrations.

It's pretty terrifying to look at them. Not scared of the work. I just have this constant looming anxiety that we're moving too slow, and won't be able to keep up.

We just raised money, most of it has to go into data infra and marketing to keep up with demand, but the part that I'm not as confident in is our current engineering speed.

Here are a few examples of the range of products we need to build for some of these contracts:

Hedge funds want app usage data. That means building integrations for over 10,000 publicly traded companies to collect their data and provide alpha.

Retail companies want data on how users interact with AI. That means creating sign in flows for Claude, OpenAI, Cursor, and every major model people use.

Transportation companies want pictures of potholes and a million other niche things. That means building classifiers to verify if a user actually uploaded a pothole picture and paying them fairly based on its quality.

Extrapolate these examples into every industry, and you still probably don't understand the amount of tech we have to build here.

Our CTO Elie is one of the most talented engineers I've ever met. But in retrospect, he has minimal support, and no matter how talented he is, we need help.

I actively have over $1 billion of contracts to buy data sitting on my table that people are fighting for. Kled is the best positioned app to supply this data and fulfil these contracts.

If you are a talented engineer based in SF, please message me. I'll talk to anyone, and I'll hire the best. I've been very very lucky to find the ppl around me.

I genuinely believe Kled will be a unicorn by the end of this year, with absolute certainty by 2026. I have zero doubt about the demand or supply.

Please email me, or dm me. I'm not sleeping for the next 48 hours until I find a few great engineers who can help us keep up.

email: [email protected]
all socials: @avipat_

[Avi Patel @avipat_]

We’ve realized something: data infrastructure has become the single biggest bottleneck to global onboarding. The data acquisition business is scaling faster than the systems that support it.

So we’re committing a large portion of our $3 million raise to building our own in house servers capable of hosting petabytes of data.

In the next few days, the waitlist on our app will be fully removed and we’ll open the floodgates. Over 200 international data packages are being shipped to our offices containing petabytes of film data.

Our sales teams are actively structuring organized datapacks from both users and enterprise clients to serve a wider range of AI labs and buyers. We expect a substantial surge in volume and partnerships as this infrastructure goes live.

The workload on both our team and systems will be tested in the coming days. We're ready for it. Thank you to all our enterprise partners and users for trusting us with your data. We're just getting started and will not let you down.

Since October 28th, Kled has signed another $310,000,000 worth of enterprise data from international film studios.

[Kled AI @useKled]

We’re launching Kled HADES: The Human Aligned Data Evaluation Standard.

As Kled has matured, we’ve realized something the AI industry still hasn’t addressed. The world’s most advanced models are being evaluated on synthetic, filtered, or scraped data that doesn’t reflect real human behavior. They perform well on benchmarks that exist in theory but collapse when faced with the entropy of the real world.

Mercor’s APEX measures how well models perform economically valuable work across consulting, law, and medicine. Kled HADES, by contrast, measures how well those same models perform when exposed to real human data.

For example, a model might summarize a clean academic paper perfectly, but fail when given a real student’s PhD thesis draft full of comments, formatting errors, handwriting, and half finished equations. HADES tests models on that kind of reality, the raw, unfiltered data that defines how people actually create and communicate.

Those failures are not a labeling problem. They are a distribution problem. Models fail because they have never been exposed to this kind of authentic, human data during training. The world they were taught to understand is synthetic. The world they are being deployed into is not.

That is where Kled comes in. The data we collect through our platform reflects the real world in all its complexity: videos, documents, conversations, behavioral data, and sensory recordings, all verified and sourced from real people. When AI labs integrate this data into training and evaluation, models become more robust, grounded, and aligned with reality.

To make HADES truly representative, we’ve partnered with experts across disciplines to construct domain specific evaluation rubrics. With partners at Latham & Watkins, engineers from over 20 Fortune 500 companies, five Grammy nominated artists, six Division I athletic coaches, and ten decorated medical professionals, we’re designing tests that expose where models fail to interpret the data real people produce.

Where Mercor uses experts to measure task performance and close the gap with more labor, Kled uses experts to measure data comprehension and close the gap with better data. HADES doesn’t evaluate what a model can output. It evaluates whether the model can even understand the inputs humans generate every day.

We’ve assembled a dedicated research team to design the evaluation sets, metrics, and scoring frameworks that will form the foundation of HADES and define what true alignment with human data looks like.

We will use HADES to evaluate and rank the top models from every major AI lab on how well they understand authentic human data. The insights we uncover will guide where the industry’s data needs to evolve and position Kled as the primary source for closing those gaps.

This benchmark is more than research. It is one of the most important steps in increasing the scale, defensibility, and value of Kled’s ecosystem. It also marks the second to last piece of the puzzle before our full company update.

We’re hiring. If you’re an AI researcher who wants to help define this new standard and work alongside top talent from Stanford SAIL, email: [email protected].

[Kled AI @useKled]

Kled will be officially supporting Cash App and Venmo payouts in our Version 2 app release.

[NNA ❣️ @anneharis19]

@elie_dev_ hi elie , can approve my kled id #26582 . Big thanks 😊

[Kled AI @useKled]

Introducing Kled ROS. The future of data collection for robotics.

For the past three months, Kled has been building the most advanced infrastructure for robotic perception, from top tier data collection systems to intuitive labeling interfaces.

We’re now expanding into one of our first domain specific data collection categories: household and daily life robotics tasks, filmed by everyday Americans.

Kled has allocated $150,000 toward purchasing cutting edge visual equipment such as Meta Glasses, GoPros, and wearable 4K sensors, which will be shipped to thousands of middle income Americans who have agreed to record their daily household routines.

Another $150,000 has been allocated directly to rewarding participants for their contributions.

After months of small scale testing, we now have the full production infrastructure ready, enabling large scale robotic training data collection at an unprecedented level of realism.

Our team of engineers is currently finalizing action labeling interfaces that break down each task, including washing dishes, taking out the trash, making the bed, vacuuming, and cooking, into repeatable programmable sequences, turning every action into structured code readable events.

Kled will also be co sponsoring multiple upcoming events with leading Silicon Valley robotics companies throughout the next two months.

Stay tuned, this is just the beginning of Kled ROS.

[Kled AI @useKled]

Introducing Kled Enterprise V2. We’ve officially migrated the majority of all of our enterprise contracts to not only include past catalogs but now future catalogs in their possessions.

In other words Kled’s content library from some of the biggest holdings companies, orgs, and conglomerates now grows along side theirs.

After this migration we have added over 300 titles, with tens of thousands of pieces of content coming our way progressively every day, month and year.

Titles include: Al Capone, Fury, Mighty Mouse, Star Trek: The Animated Series, Atomic Train, Death Valley Days, Casper the Friendly Ghost, etc. We’ve attached a more complete list of content that was recently added as a result of our contract format to this thread.

This new structure perfectly aligns with our vision that: companies should keep focusing on what they do best, creating great content or acquiring great content, while Kled focuses on what we do best, finding new ways to monetize their catalogs for the age of artificial intelligence.

[NNA ❣️ @anneharis19]

Register with my code CYK3AJP7 before it launch.

[Kled AI @useKled]

We’re excited to finally introduce Kled Special Tasks, the final major feature included in the V2 app update.

Users will now have access to a fully interactive terminal where they can view and complete domain specific upload tasks directly from enterprise buyers. These tasks can be region locked and person specific. For example, PhD students at Stanford might be prompted to upload their coursework or research materials and get paid for it.

Our first domain specific task will focus on homework collection from high school and college students across Europe and the United States. Students will verify their emails and academic credentials directly within the app. We’ve built labeling workflows to ensure all uploaded content meets our criteria, and participants will receive weighted payouts based on the value of their submissions.

We’ve already built a network of over 3,800 students from Stanford, MIT, UIUC, Rutgers, and Duke who will be actively onboarded to contribute content.

Kled will work hand in hand with our research division, HADES, to justify the large scale purchase of this homework content. Several enterprise buyers have already expressed interest, each confirming that academic data from students represents a growing multi year industry requiring a continuous flow of fresh material.

Kled Special Tasks also gives us the ability to internally identify valuable content types, issue calls for specific datasets, and collect 1,000-2,000 unique samples per task. We can then package these datasets into specialized data packs that our sales team will use to pitch directly to AI labs and enterprise clients with matching data needs. This will be one of our most powerful tools for expanding Kled’s buyer network.

All of this will be fully available in the V2 update. We’re excited to show just how advanced our segmentation and data validation software has become as we bring this release to market.