New nano banana model hits the sweet spot for cost / performance
With past models, quality is there but unit economics were the biggest challenge. Until now.
Agree that workloads will run on cheaper models.
This is a reason to be bullish in Google . There will be always be a place for frontier intelligence but majority of everyday workloads (outside eng) will run on optimized models and compute. Google is the only company that
Good take
My guess is
- demand for intelligence is near infinite
- but 80% of workloads will be running on 99% cheaper models within 12-18 months
- 20% of workloads will still run on latest gen models where IQ maxing is important (scientific breakthroughs, higher level
Moving from slides to html presentations last year has been a game changer.
I have a local file system with a catalog of html slides (slide for knowledge worker vs C suite vs eng leader) and have built a workflow to build a narrative > select slides > tailor to them to audience
Peloton should pivot into Inference-aaS and ai hardware
GPUs on bike and unlimited energy supply with spin classes
Surely this makes more sense then all birds
“We’ve also been moving off legacy systems with poor, slow, outdated, and inconsistent APIs.”
If you’re building software that can’t work fully headlessly in a way that agents want to use, you’re not prepared for what the future of software is going to look like.
Agents will
Almost every SaaS app inside Vercel has now been replaced with a generated app or agent interface, deployed on Vercel.
Support, sales, marketing, PM, HR, dataviz, even design and video workflows. It’s shocking.
The SaaSpocalypse is both understated and overstated. Over because