Shawn Wang (Swyx)

5 statements across 3 episodes · 3 bullish · 1 bearish · 1 people on the record · first statement Mar 19, 2025 by Shawn Wang · across every show →

Everything said about Shawn Wang (Swyx), oldest first

Mar 19, 2025 bearish
Opinion
Swyx: AI pre-training datasets calcify software APIs against future changes
“Like one tricky thing, I feel like it's almost like AI calcifies your API. The cost of switching APIs is so high because it's, you don't know what the hell is in those, the data set. You're not going to reach out to every model lab and like ask them to update …”
Shawn Wang Mar 19, 2025 ▶ 24:08 Fullstack-Bench: The Eval for Coding Agents — with Sujay Jayakar, Chief Scientist, Convex
Jul 28, 2026
Assertion Not checkable as stated
Swyx: Generated Playable 3D Board Game in ChatGPT Using 1.7B Tokens
“So over the weekend, I took like, 30 photos and just threw it into ChatGPT. 1.7 billion tokens later, out comes this site with a fully playable thing with three D block placement and everything because it requires physical blocks and I needed friends to train …”
Shawn Wang Jul 28, 2026 ▶ 27:50 OpenAI’s Vision for the AI Super App — Akshay Nathan, OpenAI
Jul 28, 2026 positive
Opinion
Swyx: More users should switch to Terra as Sol hits capacity limits
“More people should use Terra. One, because Sol keeps running out of capacity.”
Shawn Wang Jul 28, 2026 ▶ 21:46 OpenAI’s Vision for the AI Super App — Akshay Nathan, OpenAI
Jul 28, 2026 positive
Opinion
Swyx: ChatGPT Work is OpenAI's most successful launch, surpassing GPT-5
“I have pretty much said this is the most successful launch in a long time. I think even more successful personally than five point O”
Shawn Wang Jul 28, 2026 ▶ 43:12 OpenAI’s Vision for the AI Super App — Akshay Nathan, OpenAI
Aug 3, 2026 bullish
Insight
Custom $50B ASICs become economically rational for $500B AI training runs
“If you have a trillion dollar or five hundred billion dollar training run, then take fifty billion of that and make an ASIC. Like, it's fine. Like you will get more than 10% efficiency from the ASIC. And like, that makes sense.”
Shawn Wang Aug 3, 2026 ▶ 1:06:55 Next 100x in AI: Inference, Networking, & Self-Optimizing Models — Philip Kiely & Ali Taha, Baseten
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