My timeline is saying data brokers are making crazy numbers like $2M a week selling to labs
Maybe some are, gg to them, but it's a short window
Labs only need so much internal company slop before the next batch stops moving the model
The durable data is something almost nobody is collecting: how agents behave in the wild
> agent-to-agent negotiation
> adversarial conflict
> high-pressure decisions with no deterministic answer
RL companies are building environments for deterministic worlds we already understand
I donโt see anyone building them for millions of agents interacting across the internet every day
That's the next data frontier
Curious what data everyone thinks stays valuable to labs after the company slop rush ends?
My timeline is saying data brokers are making crazy numbers like $2M a week selling to labs
Maybe some are, gg to them, but it's a short window
Labs only need so much internal company slop before the next batch stops moving the model
The durable data is something almost nobody is collecting: how agents behave in the wild
> agent-to-agent negotiation
> adversarial conflict
> high-pressure decisions with no deterministic answer
RL companies are building environments for deterministic worlds we already understand
I donโt see anyone building them for millions of agents interacting across the internet every day
That's the next data frontier
Curious what data everyone thinks stays valuable to labs after the company slop rush ends?
@adcock_brett@rbigbie Sounds cool, just not sure how it creates a different experience to using other agents for those tasks, will have to check it out
Many such cases
Distribution is king and if you donโt have this figured out, youโll just waste a ton of time and tokens on products nobody will care about
5 months. 6 finished projects. 0 MRR.
All my ideas are useless.
Close to giving up as indie - not joking.
(luckily still have my day job)
Expert Software and AI Eng skills.
0 understanding of Marketing and Sales.
What should I work on next?
Anything but: X growth, Reddit leads, SaaS listings, SEO tool.
Great example of inference capital markets
Today most of us consume inference via subsidized monthly plans, but these wonโt last forever and many builders can only use API inference
Thatโs where markets like @dphnAI come in, congrats on this going live!
The Dolphin Inference API is now live
Powered by DeepSeek V4.1 Flash, it delivers Opus 5-class coding & agentic performance at 97% lower cost than frontier models
$30 free credits for the first 1,000 signups
Start building with the cheapest API on the market โ https://t.co/izrWuq0l9H
My timeline is saying data brokers are making crazy numbers like $2M a week selling to labs
Maybe some are, gg to them, but it's a short window
Labs only need so much internal company slop before the next batch stops moving the model
The durable data is something almost nobody is collecting: how agents behave in the wild
> agent-to-agent negotiation
> adversarial conflict
> high-pressure decisions with no deterministic answer
RL companies are building environments for deterministic worlds we already understand
I donโt see anyone building them for millions of agents interacting across the internet every day
That's the next data frontier
Curious what data everyone thinks stays valuable to labs after the company slop rush ends?
Throwback to my first Hermes Agent post
Incredible how much the agent landscape has changed in these 7 months!
Gets me excited for where things will be 7 months from now
I've been playing with Hermes agent all weekend and have to say that I'm truly impressed
It was about a 5-min install and I've had zero issues so far, excellent right out of the box
I've been feeding it all my crazy ideas just to see how it works and it has been fun!
gg @NousResearch