low cortisol trading @villagersdao / @etherus_io
on-chain
Joined March 2021
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nat3 retweeted
Right, we should just stick to memecoin pvp slop instead of a token tied to equity in a company that will be worth billions with future in-app integration for the token.
The real problem with solana:1zJX5gRnjLgmTpq5sVwkq69mNDQkCemqoasyjaPW6jm is the trenches are too low brow to understand what’s being built under their noses.
Stick to animal coins everybody, if that’s what you have the aptitude for.
solana:1zJX5gRnjLgmTpq5sVwkq69mNDQkCemqoasyjaPW6jm is onchain’s iq test and 99% of ya’ll will fail.
nat3 retweeted
my unfiltered thoughts on the data industry right now:
there are too many brokers in the data space. in the last 4 months this industry has become the new equivalent to dropshipping.
i have no issue with that. but if your entire moat is spam calling smb owners all day and begging them to license their data for a micro1 referral fee, you are not going to make it, and you are not the next mercor. most of you are not building anything at all.
to everyone reading this, and the hundreds of other posts on your timeline from 18 year old sf kids claiming $200m run rates please ignore them. these are the modern day elizabeth holmes’.
they're taking one day of contracted (not paid) revenue and multiplying it by 365. the worst i've seen is someone who made $100k off a micro1 referral fee in 6 hours and claimed they're at a $73m run rate (12 (daily working hours) / 6 x $100k x 365).
this is literal fraud, especially if you raise money off of this claim. you see this in a lot of yc companies in recent batches.
the only businesses i see surviving this are the giants that already exist (mercor, micro1, surge ai, turing) and the non consensus bets: consumer data collection apps like kled, robotics data collection companies like build ai and meckaai, etc.
tldr: don’t believe everything you read, and just brokering company data is not a venture scale business and should not be claimed as such.
nat3 retweeted
the data economy is gonna be insane. for process knowledge alone there's ~1 million SMBs who can sell their data for $100k+ to 1000s of data brokers and 100s of RL env cos and 10s of labs. $100T market easily
nat3 retweeted
i’ve been bagholding KLED for a little over a year now and i strongly believe it’ll be one of my best trades of all time on here
nat3 retweeted
kled now works with almost every frontier lab.
we now exclusively sell consumer data, directly from our opt in consumer data collection app.
we stripped everything else off the marketplace today: kled.ai/datasets.
nat3 retweeted
Over the weekend, Kled received a complex multichannel Korean audio task from one of the frontier labs. Within 48 hours, it was live in the Kled app.
We are now sourcing thousands of Korean speakers to produce millions of hours of multichannel audio.
The spec calls for per-speaker isolated channels, speaker attribution, persistent speaker IDs across recordings, a five-hour capture limit per speaker, 16 kHz+ audio, and documented consent for AI training use.
Available today on iOS: apps.apple.com/us/app/kled/i…
nat3 retweeted
A friend of mine is making $10M / month right now going to restaurants, hotels & construction companies in New York and brokering their data to AI labs.
Was a generational opportunity to start a company like this during late August - start of October. Seems like this inefficiency is about to be aggressively corrected by companies like Kled.
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.
nat3 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.
nat3 retweeted
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…
nat3 retweeted
This is why solana:1zJX5gRnjLgmTpq5sVwkq69mNDQkCemqoasyjaPW6jm is the most asymmetric bet onchain right now.
The moat is proprietary, real-world data that other labs can’t easily capture. A customizable mobile app, available globally, that turns human data collection into a scalable procurement layer is the network effect that doesn’t exist elsewhere.
BTW 5% of @useKled equity is tokenized, with the token also set to integrate into the mobile app to create a flywheel for holders and users.
You can still be unbelievably early, for now. Tick tock.
nat3 retweeted
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…
nat3 retweeted
Kled AI is extremely overlooked: AI data collection platform on the DATA Network reporting 1.5B+ uploads, 5M+ per day and millions in revenue.
@useKled pays people for photos, videos and targeted tasks, supplying AI labs with real-world training data, including household footage for physical AI.
nat3 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.
