Brian Greene on ChatGPT reproducing months of string theory research in under an hour.

“Within a half an hour it was able to reproduce the results that took us months to get.”

Giving away GPT-4 for free was both revenue positive and retention positive for OpenAI, contradicting the conventional wisdom to keep premium model tiers behind a paywall.

“We just gave it away for free and that ended up being totally revenue positive and retention positive.”

Nick Turley on the most common user inquiry about ads on ChatGPT being how to run one, not how to disable them.

“The most common inquiry about ads is not you know how do disable ads or turn off ads, but it's like how do I run an ad?”

About 10% of Scale Venture Partners' pre-GPT AI portfolio became dead on arrival after ChatGPT launched, having solved problems ChatGPT made trivially easy.

“About 10% of our portfolio was Lily DOA when chat GPT comes out because they'd solved an AI problem that was just so much easier to solve with Chachi PT that just wasn't fixable.”

Alistair Pullen on agent memory implementations being universally hacky, including his own company's.

“I haven't seen a single implementation whether it be include code to be honest whether it be ours or chat GPTs or any of them where I'm truly like oh no this isn't just a hack.”

Nick Turley on ChatGPT retention curves being unusually positive.

“The retention curves for chat GPD are smiling. Look at that. Just like that.”

Agent memory in every major product, including from Cosine AI and ChatGPT, is fundamentally a hack with no robust solution yet existing.

“I haven't seen a single implementation whether it be include code to be honest whether it be ours or chat GPTs or any of them where I'm truly like oh no this isn't just a hack.”

OpenAI Codex is being positioned as a 'home base' orchestration layer that opens and coordinates other apps, rather than a self-contained super app. Worth watching as a model for AI task management surfaces.

“It's a great home base. It's a great place to keep track of all of the things that you have to do across different surfaces and some of those things you do all of it in the app. Some of those things the app opens other apps to do right.”

ChatGPT reproduced months of string theory research results in roughly 30 minutes, according to Brian Greene.

“Within a half an hour it was able to reproduce the results that took us months to get.”

Joseph Nelson on the state of computer vision relative to language AI maturity.

“Computer vision today is roughly where language capabilities were 3 years ago with the introduction of ChatGPT and GPT-4.”