JSON

4 statements across 4 episodes · 2 bullish · 2 bearish · 4 people on the record · first statement Sep 27, 2024 by Harrison Chase · said 10 times in 5 episodes since 2024 · across every show →

Mentions by year

brought up most by Jason Liu (3), James Brady (2), Harrison Chase (2), Ben Firshman (2), Bret Taylor (1)

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Everything said about JSON, oldest first

Sep 27, 2024 positive
Assertion Supported
Harrison Chase says TypeScript yields better LLM tool-calling performance than JSON
“I saw some paper that used TypeScript notation instead of JSON notation for tool calling and it got a lot better performance.”
Harrison Chase Sep 27, 2024 ▶ 46:42 Language Agents: From Reasoning to Acting — with Shunyu Yao of OpenAI, Harrison Chase of LangGraph
Nov 28, 2024 negative
Insight
Schluntz: JSON Escaping Overhead Degrades LLM Performance Across the Board
“Like if you're trying to output a code in JSON, there's a lot of extra escaping that needs to be done. And that actually hurts model performance across the board. Where versus like if you're in just a single XML tag, there's none of that sort of escaping that …”
Erik Schluntz Nov 28, 2024 ▶ 36:44 The new Claude 3.5 Sonnet, Computer Use, and Building SOTA Agents — with Erik Schluntz, Anthropic
Apr 15, 2025 positive
Insight
Pokrass: Use XML for structuring LLM inputs and JSON for parsing outputs
“I do think XML is very helpful for structuring prompts, whereas for parsing outputs maybe the story is a bit different. Like sometimes it's really useful to get outputs in JSON, so you can plug them directly into your application. But I do think the models wor…”
Michelle Pokrass Apr 15, 2025 ▶ 24:38 GPT 4.1: The New OpenAI Workhorse
Aug 3, 2026 negative
Insight
Unclosed JSON syntax is the primary cause of model tool hallucinations
“The challenge with tool calling more and more seems to be that the companies want certain tool calling, which is a very sensitive thing to train. And because you're dealing with all of the JSON outputs, if it doesn't like close the end of the request in a very…”
Ali Taha Aug 3, 2026 ▶ 7:57 Next 100x in AI: Inference, Networking, & Self-Optimizing Models — Philip Kiely & Ali Taha, Baseten
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