> and have discovered things that work and things that don't.
Could you share some of your insights?
108 karma · joined January 30, 2018
Could you share some of your insights?
Example: You read a study and think: “Ah, this is not surprising. It is exactly what I have expected”. You can catch this thought and identify it as hindsight bias. And then think more deeply about the results without the bias.
Similar about mental models. They can guide your thinking about a specific problem. But this takes time and mental energy. So you will only apply them when it is worth the effort.
So it would not be individuals but a team with some high-level goals they plan to work on for the next year.
I have no idea how many people would fund a project like this but it would be a fast and low cost experiment to find that out.
I would not position this as "the people vs. the industry", it would be just an additional option to move Rust forward.
PLM software exists since a long time but I agree that it might not serve user needs optimally. But this is more a market failure than a technical problem.
Product lifecycle management (PLM) software provide such features.
Study was done with a largely Caucasian, New Zealand cohort born in the 1970s.
Factors which correlate with enduring mental health:
Childhood factors:
- little evidence of strong negative emotions
- social support and sociability
- self-control
Familiy environment factors:
- fewer first- and second-degree relatives with mental health issues
- less negative discipline
- reduced likelihood of parental loss
Not relevant:
- socioeconomic advantage
- perinatal complications
- physical health
- intelligence
> a lot of high-quality information isn't paid
Maybe I was biased towards paid content because I did an enterprise search project on scientific articles before.
> users could plug in sources that are particularly useful for them
That could work if you have a local copy of the data which can be indexed. E-Book DRM might be a problem.
> But maybe the userbase of people who need high quality, non-subscription info is too small to get this started.
That was my impression. I almost always got puzzled looks when I described the idea. And most of those people were “knowledge workers”. But if you are a specialist, you already know where to look for the information you need in your area of expertise.
The biggest hurdle I found no way around is the content. Not all but a lot of high-quality information is paid. You get access to it as a user but not if you want to index it as a platform. And you need a lot of different providers to have good coverage. That might get easier if you have lots of users, but you do not get users without content. The platform chicken-egg problem.
Profitable niches like Bloomberg’s business information definitively exist but this would not be the high-quality generic search engine you described.
(2) For physical documents I use a Fujitsu ScanSnap iX500[4] for scanning. A runtime-licencse of ABBYY FineReader for OCR is included. The resulting PDF has embedded text which I extract using pdftotext[5]. I wrote a python application to search and tag this documents. It loads all the text in-memory which is perfecty fine as I have < 10,000 documents. I use it since 5 years and it works OK.
[1] https://github.com/gwgundersen/anno
[2] https://news.ycombinator.com/item?id=22033792
[4] https://www.fujitsu.com/global/products/computing/peripheral...
Two possible reasons:
- Risk assessment: In 2 - 5 years, will there still be further development, bug fixes, especially of security bugs. Taking over responsibility for all those abandoned projects is not an option.
- Cultural differences: Large corporations understand requirements of other large corporations better. Like long-term maintenance commitments.