FM News
Founder Mode reads
Stop optimizing for latency and start building deeper agentic loops
◆ 85RelevanceOn a story from Latent Space1d ago
Ultra-fast inference at DeepSeek-level quality removes the latency penalty for complex, multi-step agentic workflows. You can now prioritize exhaustive verification and iterative self-correction in your product without degrading the user experience.
Takeaways
- NaiveAI hits 2,100 tokens per second while maintaining DeepSeek-level coding quality.
- Extreme throughput enables real-time, iterative "try and verify" loops for agents.
- High-speed inference shifts the bottleneck from generation time to architectural reasoning.
Read the original at latent.space
NaiveAI Promises 2,100 Tokens per Second. How Well Does It Code?
fmode.me/n/naiveai-promises-2100-tokens-per-second-how-well-does-it-code
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 Latent Space.
More from FM News
Nvidia’s stock drops as board reportedly preps to oust CEO Jensen Huang1 pts · TechCrunch AI14 of the 30 most valuable vertical AI companies now train their own models1 pts · CB InsightsAnthropic built a model that beats Opus. It recommends Opus anyway.1 pts · The New StackWhy Nvidia gave OpenShell to the CNCF1 pts · The New Stack