Link tags: lang

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The AI hype bubble is the new crypto hype bubble

A handy round-up of recent wrtings on artificial insemination.

ongoing by Tim Bray · The LLM Problem

It doesn’t bother me much that bleeding-edge ML technology sometimes gets things wrong. It bothers me a lot when it gives no warnings, cites no sources, and provides no confidence interval.

Yes! Like I said:

Expose the wires. Show the workings-out.

Stochastic Parrots Day Tickets, Fri, Mar 17, 2023 at 8:00 AM | Eventbrite

This free event is running online from 3pm to 7pm UK time this Friday. The line-up features Emily Bender, Safiya Noble, Timnit Gebru and more.

Since the publication of On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?🦜 two years ago, many of the harms the paper has warned about and more, have unfortunately occurred. From exploited workers filtering hateful content, to an engineer claiming that chatbots are sentient, the harms are only accelerating.

Join the co-authors of the paper and various guests to reflect on what has happened in the last two years, what the large language model landscape currently look like, and where we are headed vs where we should be headed.

ChatGPT Is a Blurry JPEG of the Web | The New Yorker

A very astute framing by Ted Chiang—large language models as a form of lossy compression for text.

When we’re dealing with sequences of words, lossy compression looks smarter than lossless compression.

A lot of uses have been proposed for large language models. Thinking about them as blurry JPEGs offers a way to evaluate what they might or might not be well suited for.

Efficiency over performance

I quite like this change of terminology when it comes to making fast websites. After all, performance can sound like a process of addition, whereas efficiency can be a process of subtraction.

The term ‘performance’ brings to mind exotic super-cars suitable only for impractical demonstrations (or ‘performances’). ‘Efficiency’ brings to mind an electric car (or even better, a bicycle), making effective use of limited resources.

Pattern Wise, System Foolish

A library of UX components is one common part of a design system, but the system itself is something bigger. A good system is also a shared set of strategies for solving visual and interactive communication challenges, a playbook rather than a script.

I like this way of putting it:

The problem is that treating a design system as a pantry full of widgets is, in and of itself, a failure of both craft and imagination. Think of it like a language: if a writer’s only engagement with it is grabbing words from the dictionary and heaping them together until “message” is achieved, things are going to suck. Language is more than a bag of words.

Empty Pointers and Constellations of AI

AI becomes a stand-in term for whatever technologies and techniques are new, shiny, and just beyond the grasp of our understanding. We use it to gesture at a future we cannot fully comprehend or currently realise. As soon as we do, it will no longer be “AI.”

CSS Timeline

Here’s a remarkably in-depth timeline of the web’s finest programming language, from before it existed to today’s thriving ecosystem. And the timeline is repsonsive too—lovely!

Filtered for the miracle of writing (Interconnected)

You don’t need to write for anyone else. You don’t need to share, or even keep it. You just need the act of it. Writing is a particle collider for reality and the imagination. And new discoveries are the result.

(That’s why I write here, of course. It’s how I think.)

It me.

Data Design Language

I like this approach to offering a design system. It seems less prescriptive than many:

Designed not as a rule set, but rather a toolbox, the Data Design Language includes a chart library, design guidelines, colour and typographic style specifications with usability guidance for internationalization (i18n) and accessibility (a11y), all reflecting our data design principles.

What it’s like working with an editor

This piece by Giles is a spot-on description of what I do in my role as content buddy at Clearleft. Especially this bit:

Your editor will explain why things need changing

As a writer, it’s really helpful to understand the why of each edit. It’s easier to re-write if you know precisely what the problem is. And often, it’s less bruising to the ego. It’s not that you’re a bad writer, but just that one particular thing could be expressed more simply, or more clearly, than your first effort.

rottytooth/Olympus: The language where computation happens through the will of the gods

A new programming language where you pray to Greek gods.

An invocation has three parts: the god’s name and adoration (praising of that god), supplication to show the humbleness of the asker, followed by a request to add one or several of what we ordinarily call “commands” to the program.

Here’s the source code for “99 bottles of beer” in Olympus and here it is transpiled into JavaScript.

Balisage: Metaphors We Code By

My talk, Building, was about the metaphors we use to talk about the work we do on the web. So I’m interested in this analysis of the metaphors used to talk about markup:

What the Vai Script Reveals About the Evolution of Writing - SAPIENS

How a writing system went from being a dream (literally) to a reality, codified in unicode.

wrong side of write

An opinionated blog about writing. I’ve subscribed in my feed reader.

UI Pattern: Natural Language Form

I only just found this article about those “mad libs” style forms that I started with Huffduffer.

Artifice and Intelligence

Whatever the merit of the scientific aspirations originally encompassed by the term “artificial intelligence,” it’s a phrase that now functions in the vernacular primarily to obfuscate, alienate, and glamorize.

Do “cloud” next!

Is HTML A Programming Language? (Webbed Briefs)

I’m glad that Heydon has answered this question once and for all.

I’m sure that’ll be the end of it now.

When Women Make Headlines

This is a great combination of rigorous research and great data visualisation.

The impoverished language of business | Clearleft

A good post by Andy on “the language of business,” which is most cases turns out to be numbers, numbers, numbers.

While it seems reasonable and fair to expect a modicum of self-awareness of why you’re employed and what business value you drive in the the context of the work you do, sometimes the incessant self-flagellation required to justify and explain this to those who hired you may be a clue to a much deeper and more troubling question at the heart of the organisation you work for.

This pairs nicely with the Clearleft podcast episode on measuring design.