# #456 You're so wrong

Page: https://stenobird.com/podcast/python-bytes/456-you-re-so-wrong
Text version: https://stenobird.com/podcast/python-bytes/456-you-re-so-wrong.md
Podcast: [Python Bytes](https://stenobird.com/podcast/python-bytes)
Published: 2025-11-03T08:00:00+00:00
Episode link: https://pythonbytes.fm/episodes/show/456/youre-so-wrong
Audio file: https://pythonbytes.fm/episodes/download/456/youre-so-wrong.mp3
Processing state: processed
JSON: https://stenobird.com/v1/public/podcasts/python-bytes/episodes/456-you-re-so-wrong
Duration seconds: 1546

## Resource

Explore the latest Python developments, from the PSF's strategic withdrawal of a major grant proposal to the introduction of T-strings. The episode also dives into high-performance serialization for Pydantic and the evolving landscape of developer tools.

## Highlights
- Main idea: The Python Software Foundation (PSF) has withdrawn a $1.5 million proposal for a National Science Foundation grant due to perceived high risk
- Practical takeaway: Use the new T-strings in Python 3.14 to return templates instead of strings, allowing for efficient delayed formatting in libraries
- Performance insight: A new binary serializer for Pydantic models can reduce data size by up to 85% compared to JSON, significantly lowering memory overhead
- Failure mode: Relying on F-strings for library development can lead to eager evaluation issues that T-strings are specifically designed to solve
- Industry trend: The shift from Stack Overflow's 'you're wrong' culture to the era of LLM-driven 'you're right' uncertainty is changing the developer feedback loop

## Topics

Python Software Foundation, Pydantic, T-strings, String Formatting, Data Serialization, Python 3.14, Software Engineering, National Science Foundation

## Chapters
- 2:50 — PSF Grant Withdrawal: Discussion on why the PSF decided to pull back its $1.5 million proposal for the National Science Foundation grant program.
- 6:40 — Efficient Pydantic Serialization: An analysis of a new binary serializer that significantly outperforms JSON and MessagePack in terms of payload size.
- 12:35 — The Evolution of String Formatting: A look at the history of Python string formatting, from %-formatting and templates to the modern T-strings.
- 18:20 — Python Steering Council Updates: Updates on the Steering Council's acceptance of recent Python proposals with a 'revise and resubmit' approach.
- 23:55 — The Era of LLM Uncertainty: A humorous look at how AI tools like ChatGPT have changed the developer experience from being told 'you're wrong' to being told 'you're right' (even when they aren't).

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## Transcript

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