Learning from failure to tackle hard problems
Mood
thoughtful
Sentiment
mixed
Category
science
Key topics
Machine Learning
Problem-Solving
Research Methodology
The article discusses how machine learning research can learn from failure to tackle extremely hard problems, with commenters debating the novelty and practicality of the ideas presented.
Snapshot generated from the HN discussion
Discussion Activity
Active discussionFirst comment
6d
Peak period
11
Day 6
Avg / period
7.3
Based on 22 loaded comments
Key moments
- 01Story posted
Oct 30, 2025 at 2:18 PM EDT
25 days ago
Step 01 - 02First comment
Nov 5, 2025 at 10:47 AM EST
6d after posting
Step 02 - 03Peak activity
11 comments in Day 6
Hottest window of the conversation
Step 03 - 04Latest activity
Nov 7, 2025 at 5:18 AM EST
17 days ago
Step 04
Generating AI Summary...
Analyzing up to 500 comments to identify key contributors and discussion patterns
Take building a viable company. You know that many people have solved this. But you also know that 9/10 fail.
So you need the time and the money to try enough times to make it work.
https://clarifycapital.com/blog/what-percentage-of-businesse...
That 80% number is after 20 years. That's far longer than almost anyone stays at the same employer. Maybe if those failures are the owners retiring.
You're being lied to. The myths of silicon Valley are not there for the benefit of founders.
That may not apply to a building a viable company directly. It might suggest that new companies should avoid replicating elements of failed companies.
343 is 7 cubed, so just call it "cube barrier!" and it becomes a worthy challenge
My mind was so familiar with all the constraints, all I had to know was that there was a solution and I knew exactly where it had to be.
But before knowing there was a solution I hadn't realized that.
Naively, one of those things is not like the others.
When I run into things like this, I just stop reading. My assumption is that a keyword is being thrown in for grant purposes. Who knows what other aspects of reality have been subordinated to politics by the writer.
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