Problem with ambiguous boundaries, messy constraints and no linear path to a solution
Ask HN: What hard problems are still underexplored?
1–10 of 31 posts
Re: Ask HN: What hard problems are still underexplored?
#2I'll give you one: "Do any odd perfect numbers exist?"
You can read about it here: https://en.wikipedia.org/wiki/Perfect_number#Odd_perfect_num...
You can watch a short documentary about it here: https://www.youtube.com/watch?v=Zrv1EDIqHkY
Re: Ask HN: What hard problems are still underexplored?
#3Observability that can produce causal explanations rather than just timelines. We have great tooling for logs/metrics/traces, but very little that helps engineers understand why a distributed system behaved the way it did. Automated causal graphs for incidents still feel like an open problem.
Re: Ask HN: What hard problems are still underexplored?
#4Observability that can produce causal explanations rather than just timelines. We have great tooling for logs/metrics/traces, but very little that helps engineers understand why a distributed system behaved the way it did. Automated causal graphs for incidents still feel like an open problem.
That you know of.
Re: Ask HN: What hard problems are still underexplored?
#5[flagged]
Re: Ask HN: What hard problems are still underexplored?
#6Anti-cheat systems in multiplayer video games. It seems like every multiplayer game out there eventually gets overrun with cheaters and that cheat developers win every time.
Re: Ask HN: What hard problems are still underexplored?
#7[flagged]
Why contribute if you have nothing to say? What even is this reply?
Re: Ask HN: What hard problems are still underexplored?
#8Re: Ask HN: What hard problems are still underexplored?
#9Observability that can produce causal explanations rather than just timelines. We have great tooling for logs/metrics/traces, but very little that helps engineers understand why a distributed system behaved the way it did. Automated causal graphs for incidents still feel like an open problem.
In distributed systems, at least we have the variables, functions, pods, log traces, spans etc some pre defined structure, and some level of determinism. I would say Causality is still not fully explored territory when it comes to human brain.
When I think of human brain or may be to some extent LLMs, it's difficult to understand what is invisible. For distributed systems we will build tools, there is ongoing research in LLM Observability, but I wonder what about human brain
Re: Ask HN: What hard problems are still underexplored?
#10I'll give you one: "Do any odd perfect numbers exist?" You can read about it here: https://en.wikipedia.org/wiki/Perfect_number#Odd_perfect_num... You can watch a short documentary about it here: https://www.youtube.com/watch?v=Zrv1EDIqHkY
Is 2+2 still 4 :p