We used RasterFlow to run Meta's SAM3 against 133 GB of NAIP satellite imagery. 312,000 building roof detections later, we asked: are these any good? Get the full breakdown: https://t.co/h3aD7VZCtO
Every LLM from any lab today traces back to this guy, who was the only person at OpenAI pushing for pretraining transformer language models.
He built GPT-1. After that did others see the potential.
He invented it, and almost none of the so called AI experts even know his name.
Majidreza Rahnavard’s final words before his execution by the Islamic Republic, November 2022:
'I don’t want them to cry at my grave. Don't read the Quran. Don't pray. Instead, celebrate and play happy music.'
👉🏻 This is exactly what the people of Iran are now doing at the graves of all their loved ones.
#IranMassacre
OpenAI JUST released how people are using chatgpt
each bar in this chart is a billion-dollar wedge if you build the right verticalized, trust-rich AI startup:
1/ tutoring + teaching (10.2%) - people want on-demand teachers more than almost anything else. a personal ai tutor that explains things your way, remembers your progress, and nudges you daily.
2/ how-to advice (8.5%) - this is consumer SaaS for micro-niches: “how to fix my resume,” “how to meal prep,” “how to set up my Shopify store.” every “how-to” is a wedge into a vertical AI agent.
3/ personal writing + editing (18% combined) - 8% of traffic is people asking AI to write emails, 10.6% is editing or critiquing text. this is demand for AI copilots inside every workflow tool: sales, legal, HR, PR.
4/ health, fitness, beauty, self-care (5.7%) - validated consumer wedge. people already trust AI with their bodies. AI trainers, AI nutritionists, AI skin coaches — with a human layer for accountability.
note: btw if you like seeing ideas/trends like this, you'll like @ideabrowser (free/paid plans)
5/ purchasable products (2.1%)- tiny % but huge monetization. people literally asking AI what to buy. the Amazon affiliate model gets reborn here. whoever builds the “AI-powered shopping layer” owns the new SEO.
6/ translation (4.5%)still unsolved. what people want isn’t raw translation, it’s contextual translation: tone, culture, slang. AI that doesn’t just translate but localizes your intent.
7/ computer programming (4.2%) - we know this, but it’s worth underlining: devs want copilots. the non-obvious play is vertical code copilots... Shopify dev copilot, Unreal Engine copilot, etc.
TLDR;
every bar is a behavior that people are already paying for elsewhere. translate those behaviors into vertical ai agents and startups.
the data doesn't lie.