Jeremy Keith

75 Best Sci-Fi Books of All Time - What Is The Best Science Fiction Book Ever Written?

This is a damned fine list.

Notes – David Bushell

David is on board. Who else?

I was having a discussion with some of my peers a little while back. We were collectively commenting on the state of education and documentation for front-end development.

A lot of the old stalwarts have fallen by the wayside of late. CSS Tricks hasn’t been the same since it got bought out by Digital Ocean. A List Apart goes through fallow periods. Even the Mozilla Developer Network is looking to squander its trust by adding inaccurate “content” generated by a large language model.

The most obvious solution is to start up a brand new resource for front-end developers. But there are two probems with that:

1. It’s really, really, really hard work, and
2. It feels a bit 927.

I actually think there are plenty of good articles and resources on front-end development being published. But they’re not being published in any one specific place. People are publishing them on their own websites.

Ahmed, Josh, Stephanie, Andy, Lea, Rachel, Robin, Michelle …I could go on, but you get the picture.

All this wonderful stuff is distributed across the web. If you have a well-stocked RSS reader, you’re all set. But if you’re new to front-end development, how do you know where to find this stuff? I don’t think you can rely on search, unless you have a taste for slop.

I think the solution lies not with some hand-wavey “AI” algorithm that burns a forest for every query. I think the solution lies with human curation.

I take inspiration from Phil’s fantastic project, ooh.directory. Imagine taking that idea of categorisation and applying it to front-end dev resources.

Whether it’s a post on web.dev, Smashing Magazine, or someone’s personal site, it could be included and categorised appropriately.

Now, there would still be a lot of work involved, especially in listing and categorising the articles that are already out there, but it wouldn’t be nearly as much work as trying to create those articles from scratch.

I don’t know what the categories should be. Does it make sense to have top-level categories for HTML, CSS, and JavaScript, with sub-directories within them? Or does it make more sense to categorise by topics like accessibility, animation, and so on?

And this being the web, there’s no reason why one article couldn’t be tagged to simultaneously live in multiple categories.

There’s plenty of meaty information architecture work to be done. And there’d be no shortage of ongoing work to handle new submissions.

A stretch goal could be the creation of “playlists” of hand-picked articles. “Want to get started with CSS grid layout? Read that article over there, watch this YouTube video, and study this page on MDN.”

What do you think? Does this one-stop shop of hyperlinks sound like it would be useful? Does it sound feasible?

I’m just throwing this out there. I’d love it if someone were to run with it.

Pop Culture

Despite all of this hype, all of this media attention, all of this incredible investment, the supposed “innovations” don’t even seem capable of replacing the jobs that they’re meant to — not that I think they should, just that I’m tired of being told that this future is inevitable.

The reality is that generative AI isn’t good at replacing jobs, but commoditizing distinct acts of labor, and, in the process, the early creative jobs that help people build portfolios to advance in their industries.

One of the fundamental misunderstandings of the bosses replacing these workers with generative AI is that you are not just asking for a thing, but outsourcing the risk and responsibility.

Generative AI costs far too much, isn’t getting cheaper, uses too much power, and doesn’t do enough to justify its existence.

The Frontend Treadmill - These Yaks Ain’t Gonna Shave Themselves

Your teams should be working closer to the web platform with a lot less complex abstractions. We need to relearn what the web is capable of and go back to that.

Let’s be clear, I’m not suggesting this is strictly better and the answer to all of your problems. I’m suggesting this as an intentional business tradeoff that I think provides more value and is less costly in the long run.

AI and Asbestos: the offset and trade-off models for large-scale risks are inherently harmful – Baldur Bjarnason

Every time you had an industry campaign against an asbestos ban, they used the same rhetoric. They focused on the potential benefits – cheaper spare parts for cars, cheaper water purification – and doing so implicitly assumed that deaths and destroyed lives, were a low price to pay.

This is the same strategy that’s being used by those who today talk about finding productive uses for generative models without even so much as gesturing towards mitigating or preventing the societal or environmental harms.

Looking back on ten years of codebar Brighton, I’m remembering how much I got out of being a coach.

Something that I realised very quickly is that there is no one-size-fits-all approach to coaching. Every student is different so every session should adapt to that.

Broadly speaking I saw two kinds of students: those that wanted to get results on screen as soon as possible without worrying about the specifics, and those who wanted to know why something was happening and how it worked. In the first instance, you get to a result as quickly as possible and then try to work backwards to figure out what’s going on. In the second instance, you build up the groundwork of knowledge and then apply it to get results.

Both are equally valid approaches. The only “wrong” approach as a coach is to try to apply one method to someone who’d rather learn the other way.

Personally, I always enjoyed the groundwork-laying of the second approach. But it comes with challenges. Because the results aren’t yet visible, you have to do extra work to convey why the theory matters. As a coach, you need to express infectious enthusiasm.

Think about the best teachers you had in school. I’m betting they displayed infectious enthusiasm for the subject matter.

The other evergreen piece of advice is to show, don’t tell. Or at the very least, intersperse your telling with plenty of showing.

Bret Viktor demonstrates this when he demonstrates scientific communication as sequential art:

This page presents a scientific paper that has been redesigned as a sequence of illustrations with captions. This comic-like format, with tightly-coupled pictures and prose, allows the author to depict and describe simultaneously — show and tell.

It works remarkably well. I remember how well it worked when Google first launched their Chrome web browser. They released a 40 page comic book illustrated by Scott McCloud. There is no way I would’ve read a document that long about how browser engines work, but I read that comic cover to cover.

This visual introduction to machine learning is another great example of simultaneous showing and telling.

So showing augments telling. But interactivity can augment showing.

Here are some great examples of interactive explainers:

• Cameras and Lenses by Bartosz Ciechanowski,
• An Interactive Guide to CSS Grid by Josh W Comeau,
• CSS :has() Interactive Guide by Ahmad Shadeed,
• Pizza Exchange Rate by Nathan Yau, and
• just about everything by Nicky Case.

Lea describes what can happen when too much theory comes before practice:

Observing my daughter’s second ever piano lesson today made me realize how this principle extends to education and most other kinds of knowledge transfer (writing, presentations, etc.). Her (generally wonderful) teacher spent 40 minutes teaching her notation, longer and shorter notes, practicing drawing clefs, etc. Despite his playful demeanor and her general interest in the subject, she was clearly distracted by the end of it.

It’s easy to dismiss this as a 5 year old’s short attention span, but I could tell what was going on: she did not understand why these were useful, nor how they connect to her end goal, which is to play music.

The codebar website has some excellent advice for coaches, like:

• Do not take over the keyboard! This can be off-putting and scary.
• Encourage the students to type and not copy paste.
• Explain that there are no bad questions.
• Explain to students that it’s OK to make mistakes.
• Assume that anyone you’re teaching has no knowledge but infinite intelligence.

Notice how so much of the advice focuses on getting the students to do things, rather than have them passively sit and absorb what the coach has to say.

Lea also gives some great advice:

1. Always explain why something is useful. Yes, even when it’s obvious to you.
2. Minimize the amount of knowledge you convey before the next opportunity to practice it. For non-interactive forms of knowledge transfer (e.g. a book), this may mean showing an example, whereas for interactive ones it could mean giving the student a small exercise or task.
3. Prefer explaining in context rather than explaining upfront.

It’s interesting that Lea highlights the advantage of interactive media like websites over inert media like books. The canonical fictional example of an interactive explainer is the Young Lady’s Illustrated Primer in Neal Stephenson’s novel The Diamond Age. Andy Matuschak describes its appeal:

When it wants to introduce a conceptual topic, it begins with concrete hands-on projects: Turing machines, microeconomics, and mitosis are presented through binary-coding iron chains, the cipher’s market, and Nell’s carrot garden. Then the Primer introduces extra explanation just-in-time, as necessary.

That’s not how learning usually works in these domains. Abstract topics often demand that we start with some necessary theoretical background; only then can we deeply engage with examples and applications. With the Primer, though, Nell consistently begins each concept by exploring concrete instances with real meaning to her. Then, once she’s built a personal connection and some intuition, she moves into abstraction, developing a fuller theoretical grasp through the Primer’s embedded books.

(Andy goes on to warn of the dangers of copying the Primer too closely. Its tricks verge on gamification, and its ultimate purpose isn’t purely to educate. There’s a cautionary tale there about the power dynamics in any teacher/student relationship.)

There’s kind of a priority of constituencies when it comes to teaching:

Consider interactivity over showing over telling.

Thinking back on all the talks I’ve given, I start to wonder if I’ve been doing too much telling and showing, but not nearly enough interacting.

Then again, I think that talks aren’t quite the same as hands-on workshops. I think of giving a talk as being more like a documentarian. You need to craft a compelling narrative, and illustrate what you’re saying as much as possible, but it’s not necessarily the right arena for interactivity.

That’s partly a matter of scale. It’s hard to be interactive with every person in a large audience. Marcin managed to do it but that’s very much the exception.

Workshops are a different matter though. When I’m recruiting hosts for UX London workshops I always encourage them to be as hands-on as possible. A workshop should not be an extended talk. There should be more exercises than talking. And wherever possible those exercises should be tactile, ideally not sitting in front of a computer.

My own approach to workshops has changed over the years. I used to prepare a book’s worth of material to have on hand, either as one giant slide deck or multiple decks. But I began to realise that the best workshops are the ones where the attendees guide the flow, not me.

So now I show up to a full-day workshop with no slides. But I’m not unprepared. I’ve got decades of experience (and links) to apply during the course of the day. It’s just that instead of trying to anticipate which bits of knowledge I’m going to need to convey, I apply them in a just-in-time manner as and when they’re needed. It’s kind of scary, but as long as there’s a whiteboard to hand, or some other way to illustrate what I’m telling, it works out great.

Declare your AIndependence: block AI bots, scrapers and crawlers with a single click

This is a great move from Cloudflare. I may start using their service.

Amateur Mathematicians Find Fifth ‘Busy Beaver’ Turing Machine | Quanta Magazine

The mathematics behind the halting problem is interesting enough, but what’s really fascinating is the community that coalesced. A republic of numbers.