2,198 karma · joined June 22, 2016
The numbers in the bank account work out, but I’m less convinced that it remains as simple when you add the existential variable into the question.
[0] Spending money
[1] Things like focusing on your kids and inheritance help subvert this a bit.
Cant’t believe this isn’t an ethics violation, it is like going into the car dealership to change my oil and them charging me to take apart the engine because “It could catch a wider range of issues”.
I know what service I want and would consent to, this “Technically correct but costs 50x as much” is harmful.
[0] This is the doctor’s response when asked why he is testing for ~20 other respiratory diseases in the drive-through coronavirus line.
These two points mean there’s no guarantee a tipped wage would convert 1:1 into an hourly wage if we simply removed tipping, even if the value provided by the tipped employee stays constant.
On the other hand, when doing a genome assembly, the Nanopore reads are good for a draft sequence and then the Illumina reads can be used to polish the sequence.
From what I can find around current crypto "credit cards", it seems they are in reality just debit cards.
[0] Not money, but Visa - though this was ambiguous as written
That and rewards are the main value-add of a traditional payment flow at the moment.
The only utility I can see is if you need to run for appointments that are easier to do when working from home, but this is less about remote work and more about flexible working hours.
[0] Having worked in a team with distributed offices, a fairly large company like your partner's can definitely solve this.
This is a bit further down in the thread, but really is the core point new engineers need to hear.
Many of us have sat through retrospectives after spending hours writing up what went wrong and even more hours fixing a problem. Sometimes the problem has arisen because the person making changes should’ve asked more questions or looked for more answers regarding the system they were changing.
The only problem I’ve ever had with questions is when the same question is asked too many times. That can mean a few different things, maybe that the team’s documentation is poor, but most of all it means that the person asking the question isn’t learning from the answer.
[0] I would use honorifics, but they are married which makes it a bit confusing. [1] Which I never took but was well regarded when I was an undergrad
The comment regarding humans not needing LiDAR misses the point, which is that either every other self-driving car group is incorrectly deploying an expensive hardware solution or there are valid technical reasons why that might be a better path to L5. Tesla trying to overcome the limitations other companies are deploying LiDAR for is a technical risk they are taking on, and, as the top level post noted, might not be the worst bet given the downside which is that they’ll just have to license the tech.
Honestly, I think the biggest issue with Elastic-style licenses moving forward is API compatibility. It is just a question of how much money is at stake for a company like Amazon to go from just operationalizing ElasticSearch to running and maintaining an API-compatible fork, just as they've done with Mongo. It would actually be a bit hilarious if Amazon open-sourced said fork with a more permissive license, given that their buck is usually made off of ops.
Given these primitives, do you think one solution to the problem is just what we see here, a new licensing structure for some types of open source? Elastic's move here, attacking the issue through licensing, is one way that this sort of business model is becoming more robust over time and would be instructive for other founders looking to create revenue generating software that is also open source.
As a developer, the main reason I _love_ open source is that I help patch issues or inspect the code to get a better understanding. Which is great because the changes Elastic are making to their license are orthogonal to the value prop for your average developer.
The bamboozling is the conclusion, not a premise of the article. Such a conclusion is done out of kindness for the voters who passed this proposition as the actual ramifications are now becoming clear. They either didn’t realize or didn’t care that we’d see incidents such as the recent firing of Von employees.
Easiest way to check if someone understood what they were voting in support of is to ask if they thought workers would be fired to be replaced with this new class of employee. That’s why I voted no. I didn’t understand how it would end up being rolled out reality and correcting ballot propositions is much more involved than an ordinary bill.
People like having cheap Ubers and didn’t prioritize about the ramifications otherwise, that’s my personal take from conversations I had around the election.
Jorge Conda [0] cited two reasons that genome sequencing (Different from 23andMe's GWAS, for example). First he cited the high upfront cost to buy the machines (Usually meaning you need to be a big hospital). The second fact was a bit more interesting, which is that doing one expensive test (Genome sequencing) which then your health care provider could do cheap queries against ("Which other users have your symptoms and similar mutations in key genes" for example) does not align with the current billing model.
I think that's the "What's next". Finding a way to effectively bring genomic care to the general population, to allow for better research into genetic conditions. If you're interested in how "big" this can be, here's a case where "This American Life" covered how just a few genetic differences was the difference between an olympic athlete and a muscular dystrophy patient [2].
There's also the bio-terrorism and pandemic response angle, which is why the DoD is investing in third-generation sequencing systems where portability has finally become more of a priority.
[0] https://en.wikipedia.org/wiki/Knome [1] https://a16z.com/bio-eats-world-podcast/ (About 13 minutes in) [2] https://www.propublica.org/article/muscular-dystrophy-patien...
I did this for a month a while back, one realization I instantly had was that a lot of the my attention issues were caused by 'micro-interuptions'. For example, spending 8 minutes answering a support question on Slack and then going to write code - how do I record that? The same is largely true with Twitter or even HN, spend 5 minutes browsing instead of doing something with intention. Recording [Activity,Start,Stop] was preferable for me, the continuous scale made it really easy to track not just what I was doing, but the interstitial time when I didn't actively have a plan to do something.
Just setting out to record what I am doing helped to limit the number of things I was doing and made me be intentional about what they were. This post was relatively timely, as I actually started doing it again this morning.