Daily Reading List – September 3, 2024 (#389)

I had a good 3-day weekend and will now struggle all week to remember what day it actually is. Today’s reading list offers some controversy (“founder mode!”), survey data (“Python users!”), and a little intrigue (“web3 heists!”).

[blog] Measuring meaningful availability / uptime of Wise. How does availability differ from uptime, and how does this fintech company look at reporting those values? Educational read.

[blog] Founder Mode. This one had the socials buzzing over the weekend, with lots of contrasting takes. I liked it. “Manager mode” versus “founder mode” can even apply within existing companies; you see the creators of teams or divisions choose either path.

[blog] Mastering Controlled Generation with Gemini 1.5: Schema Adherence for Developers. You want a blueprint for how responses come back from an LLM? Gemini has offered JSON mode for a while, and this lets you define a schema for the LLM response.

[blog] Svelte adoption guide: Overview, examples, and alternatives. I hear good things about this frontend framework, and this is a big post with tons of details.

[blog] Your ultimate guide to the latest in generative AI on Vertex AI. You don’t need to follow every announcement in tech. I mean, you’re reading this daily post, so you’re probably fairly up to date. But, I like these sorts of recap blogs that give you a single place to catch up.

[site] Python Developers Survey 2023 Results. Some fresh survey results here which convey insights into developer choices in frameworks, tools, clouds, and more.

[blog] DeFied Expectations — Examining Web3 Heists. I know there are books about this topic, but wow. There’s a lot of money and a lot of creative attacks at play.

[paper] Generative Verifiers: Reward Modeling as Next-Token Prediction. New paper from DeepMind that looks at training models as verifiers of LLM responses.

[blog] Flutter Vs React Native : Performance Benchmarks you can’t miss ! 🔥⚡️ [Part -1]. I haven’t seen many benchmarks like this, and it’s useful to see where each framework lines up on head-to-head comparisons.

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