3 ms·

I can see it, it's independently verifiable by others, and it's measurable

nfw2 9mo ago
The same is true of AI productivity https://resources.github.com/learn/pathways/copilot/essentials/measuring-the-impact-of-github-copilot/ https://resources.github.com/learn/pathways/copilot/essentia... https://www.anthropic.com/research/how-ai-is-transforming-work-at-anthropic https://www.anthropic.com/research/how-ai-is-transforming-wo... https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier https://www.mckinsey.com/capabilities/tech-and-ai/our-insigh...
- deleted 9mo ago
  [deleted]
- davidgerard 9mo ago
  lol those are all self-reports of vibes then they put the vibes on a graph, which presumably transforms them into data
  - nfw2 9mo ago
    "Both GitHub and outside researchers have observed positive impact in controlled experiments and field studies where Copilot has conferred: 55% faster task completion using predictive text Quality improvements across 8 dimensions (e.g. readability, error-free, maintainability) 50% faster time-to-merge" how is time-to-merge a vibe?
    - Orygin 9mo ago
      The subject is productivity. Time to merge is as useful metric as Lines of Code to determine productivity. I can merge 100s of changes but if they are low quality or incur bugs, then it's not really more productive.
      - davidgerard 9mo ago
        this guy has elsewhere in this thread cited "a16z revenue benchmarks" as evidence of productivity. you know, the sector most famous for setting more money on fire faster than anyone in living memory.
- intended 9mo ago
  > https://metr.org/blog/2025-07-10-early-2025-ai-experienced-os-dev-study/ https://metr.org/blog/2025-07-10-early-2025-ai-experienced-o... Shows that devs overestimate the impact of LLMs on their productivity. They believe they get faster when they take more time. Since Anthropic, GitHub are fair game here’s one from Code Rabbit - https://www.coderabbit.ai/blog/state-of-ai-vs-human-code-generation-report https://www.coderabbit.ai/blog/state-of-ai-vs-human-code-gen...

nfw2 9mo ago

The same is true of AI productivity https://resources.github.com/learn/pathways/copilot/essentials/measuring-the-impact-of-github-copilot/ https://resources.github.com/learn/pathways/copilot/essentia... https://www.anthropic.com/research/how-ai-is-transforming-work-at-anthropic https://www.anthropic.com/research/how-ai-is-transforming-wo... https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier https://www.mckinsey.com/capabilities/tech-and-ai/our-insigh...

deleted 9mo ago
[deleted]
davidgerard 9mo ago
lol those are all self-reports of vibes then they put the vibes on a graph, which presumably transforms them into data
- nfw2 9mo ago
  "Both GitHub and outside researchers have observed positive impact in controlled experiments and field studies where Copilot has conferred: 55% faster task completion using predictive text Quality improvements across 8 dimensions (e.g. readability, error-free, maintainability) 50% faster time-to-merge" how is time-to-merge a vibe?
  - Orygin 9mo ago
    The subject is productivity. Time to merge is as useful metric as Lines of Code to determine productivity. I can merge 100s of changes but if they are low quality or incur bugs, then it's not really more productive.
    - davidgerard 9mo ago
      this guy has elsewhere in this thread cited "a16z revenue benchmarks" as evidence of productivity. you know, the sector most famous for setting more money on fire faster than anyone in living memory.
intended 9mo ago
> https://metr.org/blog/2025-07-10-early-2025-ai-experienced-os-dev-study/ https://metr.org/blog/2025-07-10-early-2025-ai-experienced-o... Shows that devs overestimate the impact of LLMs on their productivity. They believe they get faster when they take more time. Since Anthropic, GitHub are fair game here’s one from Code Rabbit - https://www.coderabbit.ai/blog/state-of-ai-vs-human-code-generation-report https://www.coderabbit.ai/blog/state-of-ai-vs-human-code-gen...