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The constraint on AI isn't compute. It's high-signal data that hasn't already been scraped.
Phase 1: the data application layer. 600,000+ contributors and counting.
Phase 2: our own models, trained on our data alone, tested against closed SOTA on complex human tasks. That's where we are now. The data moat is real. The benchmarks show it.
We're hiring Research Scientists to scale the training runs, evals, and model architectures.
Apply here: jobs.ashbyhq.com/kled-ai/6e9…
Introducing Kled Labs.
Every major AI model learned from the internet. We're betting on people instead.
One goal: train our own models to beat closed models at important human tasks, using our data alone.
All data is sourced from our data application layer and our network of 600,000+ contributors.
We're hiring: jobs.ashbyhq.com/kled-ai/6e9…
Elie retweeted
the kled marketplace is now live: kled.ai/datasets
labs can request and browse datasets from the kled contributor network and a curated network of enterprise partners.
Elie retweeted
introducing kled studio. coming soon to desktop.
a playground for ai labs to explore marketplace data, evaluate their own models, and collect what they need next.
create custom tasks and deploy them directly into the kled app, targeting contributors by demographics and psychographics.
Elie retweeted
Powered by payments on Solana
Elie retweeted
say hi to kled v3, the data collection layer for agi.
any dataset a lab can describe, collected from the real world by 500,000 people in under 72 hours.
Months of building. Live today.
If a dataset can exist, #kled can now collect it from the real world in under 72 hours.
Android is ~70% of the global market. We built Kled by capturing the 30% on iOS first. Now we’re coming for the other 70%. Buckle up.
Let’s build it together, open positions at → jobs.ashbyhq.com/kled-ai
Kled has just signed a $12 million non-exclusive data deal over the next 2 years making the marketplace officially profitable.
We’re now heavily expanding our team to bring Kled to android, support every global currency / payment method, increase our daily uploads and registrations on Trace by 2x in 1 month, and roll out our next fraud detection model for better data quality.
We want the best engineers in the world. All open careers can be found here: kled.ai
Elie retweeted
The Data Foundation has invested $3 million into Kled, bringing our total funding to now $14 million.
We’ve been extremely selective with our investors and have only taken strategic capital. The foundation will be joining some of the top venture funds and angels who have all backed Kled as the world’s leading human data marketplace.
Kled is on track to do over 5 billion user uploads and have over 2 million daily active data contributors this year. Onwards and upwards.
Elie retweeted
Live audit portal here for all our data: trace.datafdn.org/audit/kled
Over 1.5 billion user records are being onboarded starting today!
Elie retweeted
Kled the leading human data marketplace has officially partnered with The DATA Foundation to onboard over 1.5 billion user records on chain.
We've spent the last 3 months working directly with some of the leading foundation models and labs. The single biggest point of discussion was trust. Labs have 0 room for error and consumer data is the single largest but also most sensitive data type on the planet.
Labs need two things before confidently purchasing a dataset.
1. A clean audit record: end-to-end receipts, consent forms, and proof of payment. They need to fully trust that data uploaded on the marketplace can confidently be licensed without consumers introducing risk into training pipelines.
2. Full confidence that the data on our marketplace is original. Not pirated, not AI generated. They need to fully trust that data uploaded is real human unaltered content that can significantly enhance a training pipeline.
We've been hugely against 99% of all blockchain offerings that have come our way, but things aligned way too well here and we found a unique opportunity to build something great.
Kled will be moving its full audit rails onto DATA Network, backed by a16z crypto, Polychain, and other top VCs.
The instant a user uploads data to our platform we create an anonymized receipt that is automatically sent to the TRACE (demo video, live links, and more in the post below). The content hash ID, signed consent forms, full payment record, and end-to-end timestamps.
Any AI lab can now verify the legitimacy of any dataset in seconds, making us the first data marketplace in history to publicize its data audit records. Consumer identities are fully anonymized and hidden, no users will be exposed in the process.
To add to this Kled will also be supporting USDC payouts on DATA Network. This will be alongside other stablecoin options rolling out with our existing fiat payouts. All of this will be fully auditable on DATA Network as well.
Lastly Kled and The DATA Foundation will be pooling its efforts to create the world’s best fraud detection protocol. We will be allocating the majority of our time/resources towards creating this, labs need to trust our data and the creation of AGI will be a function of this trust.
I'm also joining The DATA Foundation with a Part Time Advisor Role as the Chief Data Officer, where I’ll be advising the foundation team to make sure the Trace audit product reflects what AI labs actually need to license data with confidence.
The DATA Foundation's audit / licensing rails and Kled's data marketplace are complimentary in nature, labs need both. Kled is the largest contributor to that audit layer so we have the most skin in the game to get this product right.
Every effort described here will create a safer future for consumers and labs. We are here to set the gold standard for trust and nothing will stray us away from this goal. Onward.
Introducing Trace.
Trace is our flagship, public audit and search platform where every asset permanently registered on DATA Network can be accessed.
AI Labs can search every human contributed photo or voice sample and drill into any individual record to see the full audit trail.
Trace is where labs and regulators can filter by dataset, app, data type, modality, and time to verify data provenance so AI models can be trained with confidence.
Kled-FD processes every modality through a unified scoring system and rejects fraud at an unprecedented scale, surpassing the capabilities of any human-in-the-loop process.
The challenge wasn’t in individual capabilities, but in the layer that facilitates their agreement.
Clean data remains the bottleneck for the next decade of AI, and we have successfully built the filter to address this issue.
Introducing Kled-FD 0.1, the world's best fraud detection and dataset cleaning pipeline.
The first all in one system capable of detecting AI generated content, near duplicates, stolen and plagiarized media, screenshots, manipulated and spliced content, NSFW and explicit material, minors and age sensitive content, sensitive and harmful content, and coordinated behavioral fraud rings.
Kled-FD 0.1 has been battle tested across 1.2 billion uploads on Kled's data marketplace and is actively running quality checks on over 5 million uploads per day across image, video, audio, and text.
Public benchmarks will be released soon. This is the first real step toward making data quality enforcement a humanless process.
Elie retweeted
LazarBeam has just invested into Kled.
23 million subscribers, one of the biggest YouTubers of all time, and someone I personally watched relentlessly growing up.
Welcome to the cap table Lannan. He will be joining, Diplo, PandaBoi, 24kGolden, and all the other creatives who have angel invested in Kled. Proud to have you join us.
Elie retweeted
Why We Ship: @useKled
Pokémon Go players generated 30 billion images and videos that Niantic used, and never saw a cent for it. @avipat_ built Kled so the people generating the data get rewarded.
50,000 DMs and three and a half years later, it's the largest human-powered data collection effort in history, distributing rewards on Solana.
Elie retweeted
AI companies are paying out $50 billion per year for data collection, making it one of the fastest growing job sectors. Kled is the first of many apps that will enable this.
businessinsider.com/avi-pate…
Elie retweeted
AI data collection companies like Kled are paying up to $10,000/month for U.S.-based college students and graduates. No CS degree required.
This quarter, we're doubling down on U.S. opportunities by slowly introducing over $30,000,000 in task rewards for qualified, KYC'd users.
Tasks are built around everyday human activity: upload 500 selfies for $1,000, record a quick video of yourself taking out the trash for $5, or upload your tax return for $150.
All data advances leading AI models, with full consent, anonymization, and fair compensation. Download Kled on the App Store and join the fastest-growing gig economy.
Elie retweeted
We have conquered Asia. Over the last few days Kled has hit #1 on the App store finance charts in Malaysia, Indonesia, and Philippines.
We've run a risk analysis on over 400 million data uploads from these regions, and have found these to be some of our highest quality unloaders.
Thank you to all our users out there, and keep uploading great content. We've tripled our payouts for the next 1 week in celebration.
Elie retweeted
Traditional captchas are becoming worthless.
AI can now solve any fixed image grid automatically. reCAPTCHA, hCaptcha, every major service on the market pulls from a pre-labeled problem set. Once AI learns the set, it is over.
UFDP has all the same standard bot detection built in. But the captcha itself is unsolvable by AI because it is never the same twice.
Every question is a brand new real world data point pulled live from a pipeline of 5 million daily uploads. There is no problem set to train on. There is no pattern to crack. The only thing that can answer it is a genuine human judgment call.
Elie retweeted
Consensus is everything.
Each question goes to a cluster of at minimum 50 people simultaneously. If 47 say the answer is X and 3 say Y, it is X. The 47 get rewarded. The 3 take a trust score hit, their pay multiplier drops, and they get flagged for closer review.
The network self selects for quality over time. The best validators earn the most. The bad actors get priced out automatically.
