Hacker News

...

MontyCarloHall

5483

Karma

2019-06-19

Created

Recent Activity

  • Commented: "The 1979 Design Choice Breaking AI Workloads"

    I ran into a similar issue years ago, where the base infrastructure occupied the lion's share of the container size, very similar to the sizes shown in the article:

       Ubuntu base      ~29 MB compressed
   PyTorch + CUDA   7 – 13 GB
   NVIDIA NGC       4.5+ GB compressed
    The easy solution that worked for us was to bake all of these into a single base container, and force all production containers built within the company to use that base. We then preloaded this base container onto our cloud VM disk images, so that pulling the model container only needed to download comparatively tiny layers for model code/weights/etc. As a benefit, this forced all production containers to be up-to-date, since we regularly updated the base container which caused automatic rebuilding of all derived containers.

  • Commented: "Claude Code Remote Control"

    I'm willing to bet you don't full-on YOLO vibecode like the lead Claude Code developer, running 10 Claude Code sessions in parallel to push 259 pull requests that modify >40k lines of code in a month [0]? There is zero chance any of that code was rigorously reviewed.

    I use Claude Code almost every day [1], and when used properly (i.e. with manual oversight), it's an amazing productivity booster. The issue is when it's used to produce far more code than can be rigorously reviewed.

    [0] https://www.reddit.com/r/ClaudeAI/comments/1px44q0/claude_co...

    [1] https://news.ycombinator.com/item?id=45511128

  • Commented: "Sub-$200 Lidar could reshuffle auto sensor economics"

    >Waymo benefits from Google's unparalleled geospatial data.

    How much of Waymo's training data is based on LIDAR mapping versus satellite/aerial/street view imagery? Before Waymo deploys in a new city, it deploys a huge fleet of cars that spend months of driving completely supervised, presumably to construct a detailed LIDAR map of the city. The fact that this needs to happen suggests Google's geospatial data moat is not as wide as it seems.

    If LIDAR becomes cheap, you could imagine other car manufacturers would add it cars, initially and ostensibly to help with L2 driver aids, but with the ulterior motive of making a continuously updated map of the roads. If LIDAR were cheap enough that it could be added to every new Toyota or Ford as an afterthought, it would generate a hell of a lot more continuous mapping data than Waymo will ever have.

HackerNews

About