jpking

An animal does not choose to live a wild or farm life. I assume that fewer farmed animals does not increase the number of wild animals.

I’ve done this recently for similar reasons. It’s easy to set up and seems to work well so far. DKIM signing of emails doesn’t work yet when sending emails from the Apple Mail apps. But it does work in Thunderbird.

Paying less than £1 a month and can share with family members too. Plus the other stuff like Private Relay on iCloud+ which are cool extras.

Hawthorn Effect is right although it is disputed [1]. Interestingly, the interpretation that I remember is that productivity increased because the subjects were part of an experiment and being observed.

[1] https://en.wikipedia.org/wiki/Hawthorne_effect

Spaced repetition in form of testing yourself. Anki and other software help with this.

This used to be me. Now I don’t care, I follow the text set by the lecturer. Look up a uni you respect and see if they have a course on the topic you are interested in, then find their recommended reading.

In addition, if you don’t like the text don’t be afraid to change. But if it’s working don’t worry about something better. Just get the content done, you will be in a better position to appreciate if something else is better then.

I found by going back to uni I have been forced to learn a lot of things which I wouldn’t have taken the time to look at before. And they are actually really interesting and useful!

Excellent points. For more established fields this is where textbooks are really useful. Plus, university course syllabi/recommended reading can be a nice way to find useful content in the field.

For less established fields I’d be looking for review articles.

I find practicing is key to truly understanding the content. When I find the practicing difficult, it means I don’t fully appreciate what I read. The process of practice and reading other sources to try and wrap my head around a concept is where I really learn.

Practice. That means both doing problem sets and teaching others (or thinking through the content as if you are teaching, so ask lots of questions and think about how the concepts fit into other ideas).

At the moment I’m working through CLRS intro to algorithms. There’s some math in there and derivations. I tend to run through the derivations separately while I’m working through the content to really internalise them (and I just enjoy the math). The author is nice enough to provide extensive problems to solve too.

Similar can be said of The Art of Programming. Plenty of maths in there to follow along with and plenty of problems to solve.

In addition, don’t be afraid of revisiting content. If you read over a text once but don’t fully internalise it, you hopefully have gained enough knowledge to have an idea of when it might be useful to you. So when you’re working, go back to the text and read through what’s useful and implement that.

In addition this is potentially a good sign for optimisation of both CAC (better quality marketing) and LTV (better quality product).

I do think "everyone" was hyperbole, yes.

However, I'm unsure why clickbait has to be dishonest. In the example the headline was clearly written to attract people with (or susceptible to) a preconceived belief (which the article argues against). Those people are probably more susceptible to the clickbait.

Could you elaborate on the dishonesty?

Context is essential in headline writing. You must consider your audience and the goal. Here, the title of paper plays a very different role to the title of a blog post.

The blog post example is designed to attract a specific audience. Clearly, you are not a member of that audience. However, that does not prevent them from writing articles which would be of interest to you. It also does not mean that the audience doesn't exist, however small you believe it to be.

Polar sounds interesting. I've got experience in helping the tech-focused sell their visions, so I might be able to help.

Despite that I'm probably not co-founder material. I'm heading back to Uni in September to study comp sci. But I'm interested in finding impactful side projects.

If you're interested in a chat email me: jpk@zealous.digital

The thing which worries me about OnePlus and similar cheaper options is the security patches. They seem to be very slow/non-existent and the devices aren't supported for very long.

>> bundled

My iPhone bought direct from Apple didn't have anything like that. Nor did my friends who buy on contract with carriers (UK).

What carrier did you buy from and did you restore from a backup/iCloud?

The redoing my partner saw was often because an experiment didn't result in what the researcher expected. Rather than try to figure out what went wrong (or why their expectations were wrong), they'd spend lots of time repeating exactly the same thing.

You could look at it that way. Hours of time would be spent like this toward the end of the day so why not just go home?

In addition, mindlessly repeating experiments isn't a break.

I don't think that these 12 hour days are full of productivity. My partner spent some time in the summer as a researcher at a key lab in Shanghai. She observed that researchers put in long hours (if the boss was around) but often spent time on their phones and repeated experiments mindlessly.

Kai-Fu Lee discusses this culture in the Founders Fund podcast Anatomy of Next. He suggests that many of the workers will be the only ones in their family who have high paid office jobs. The rest work in factories, farms and other manual labor. Thus, they see an opportunity to be successful and lift their family out of poverty.

I consulted with a great company in this field and they also use a mix of OCR and humans. Difference is they have trained in-house staff, rather than farming it out to just anyone for the cheapest they can get.