Nice little idea! As a slight aside I’m not sure where the timezone / city list has come from but it labels Hanoi as in Thailand (rather than Vietnam).
I guess the question would be, if indeed these suggestions would solve those problems, how much does this cost (I genuinely have no idea!) and how much do I want to spend on this versus putting up a webpage to direct people too.
I want to shave off every last ms of latency in the services I own but at the end of the day at some point it’s good enough (and best for the business) just to manage expectations.
IIUC cm precision should be fine if the algorithms looking for stable placement accounts for that cm (and reality id imagine it’d account for less precision than that). If a placement needs sub cm precision the algorithm would just discard that option.
Additionally there shouldn’t be any accumulation in a specific direction. Any accumulated gaps would be accounted for when placing the next rock and rectified to within a cm.
A store’s opening hours will probably remain 9am-5pm regardless of any time zone changes around it. If you run a bunch of stores across time zones you need to know where each store is and whether it’s summer or winter to work backwards to find out 9-5 in UTC.
Makes we wonder how much of the investor’s money was put in to OpenAI as a company or in Sam and the leadership. I think the answer is probably the latter, and the fact that Sam’s firing was this easy (and would likely have the effect of others going in quick order) seems like a massive oversight in terms of investor due diligence in board structure etc.
I feel like trying to infer valid JSON from invalid JSON is a recipe for garbage. You’d probably be better off doing a second pass with the “JSON” through the LLM but, as the sibling commenter said, at this point even the good JSON may be garbage …
I want to hear that at normal typing speed. I feel like, unless there are a good amount of slightly varied samples, it's going to have that TR-808 repetitive vibe going on ...
Nice to see Clifford Stoll currently topping the page. I bought The Cuckoo's Egg after reading enough people recommending it on HN and so to see the author referencing the main events in that book as the most recent highlight kinda brings things full circle!
While that is true for Platform 2 drones, from reading this article [1] it seems the ruling currently only applies to Platform 1 drones (ie. the specs I was referencing). Although it does seem like the Platform 2 drones would be more of what you’d imagine for drones dropping consumer packages in the US. And that article goes on to state that this ruling seems like a jumping off point for securing further exemptions (ie for the Platform 2).
Nice article! As with all CSS posts there’s always something in there I’ve never used. Today it was `display: flow-root;` [1]. I’ll probably never use it given Grid and Flex but still interesting to see this may have saved some small headaches in the past.
Taking a picture is deterministic. You aim at something, configure the settings and the cells / CMOS will capture that light in the right manner. You can argue that autofocus and portrait-mode are eroding this but ultimately, if you, the human are not pointing at something good in the first place, well you’ll very likely not have a very good picture. I feel like with AI and a random seed you can ask a question of which you have added none of your own reflection into and it will produce something somewhat in the ballpark that may pass as real. I.e. you don’t even have to point the camera at anything good …
Edit: not to say you can’t use it as a muse or for inspiration, but it isn’t a prerequisite.
Given this is for a non-tech audience I think this is reasonable. It basically talks about it being a lossy encoding of things that represent the original. Also, if the words / chars were stored as an array or string already you wouldn’t need to read every byte.