Human Research Is Not Scaling Well Enough.
Most research is garbage. The signal-to-noise ratio is abysmal. Everyone else is still hiring armies of humans to produce mediocre papers that no one reads and fewer understand.
The bottleneck isn't intelligence—it's taste and verification at scale.
Full Automation Is Here.
Automated research isn't coming—it's possible now. The models are good enough. What's missing is the engineering to create end-to-end systems that don't just generate content, but identify diamonds in the rough.
We're not building another GPT wrapper. We're building taste accelerators—systems that can distinguish breakthrough insights from bullshit better than any peer review committee ever could.
Higher Standards, Real Impact.
Our bar is higher than NeurIPS. While others debate incremental improvements, we're shipping automated systems that output society-level infrastructure using research that converts directly into meaningful products.
No vaporware. No promises. Just systems that work.
The Clock Started Running a Year Ago.
Everyone else is wrong about timelines. Crunch Time isn't coming—it started a year ago. Every day we delay is a day lost in the race toward post-scarcity.
We're not waiting for full automation in someone else's image. We're building it today.