FM News
Founder Mode reads
Replace hardcoded logic with cheap, machine-native model execution
◆ 85RelevanceOn a story from Tomasz Tunguz18h ago
If basic programming logic becomes model-driven and orders of magnitude cheaper, you can inject intelligence into granular code paths previously too expensive for LLMs. This shifts the unit economics of adding 'smart' backend features from a luxury to a commodity.
Takeaways
- Machine-native models offer massive cost reductions over traditional token-based LLMs.
- Typed execution provides more reliable logic than standard natural language generation.
- Re-evaluate your architecture to inject intelligence into basic programming primitives.
Read the original at tomtunguz.com
AI Comes for the If Statement
fmode.me/n/ai-comes-for-the-if-statement
Written by Founder Mode using gemini-3-flash-preview, from the publisher's own summary. We link the original rather than reproduce it — the reporting belongs to Tomasz Tunguz.
More from FM News
Open-Sourcing Rebalancer: A Generic, High-Performance Library for Solving Assignment Problems1 pts · Meta Engineering🎙️ How I AI: Meta’s Muse review + How Warp ships 2,000 PRs a month with AI factories1 pts · Lenny's NewsletterPruning LLMs Like a Physicist: Block Removal as an Ising Optimization Problem1 pts · Hugging FaceHow Warp ships 2,000 PRs a month with AI factories | Zach Lloyd (CEO, Warp)1 pts · Lenny's Newsletter