Author | Lightnews

Ray Myers @raymyers.bsky.social · 12d

C++ people are getting so upset whenever Rust does something well.

Many words. So few positive words about C++ other than that it’s here, and must be tolerated.

2

Ray Myers @raymyers.bsky.social · 13d

(on untested code before #RedGreenRefactor)

1

Ray Myers @raymyers.bsky.social · 13d

#RefactorGreen

1 1

Ray Myers @raymyers.bsky.social · 13d

What we expect, we also enable.

An aspirational mantra for software teams.

1

Ray Myers @raymyers.bsky.social · 13d

Wow your right, it's like he's double punished now... almost makes it worth it!

Ray Myers @raymyers.bsky.social · 13d

Through me, it would wield a power too great and terrible to imagine.

GitHub notice saying merging is blocked but allowing a force merge for admins to bypass the rules. Gandalf from Lord of the Rings with the caption "Don't tempt me, Frodo!"

Reposted by Ray Myers

Ian Bicking @ianbicking.org · 14d

I was reading this post talking about the great things about text adventures, and it got me thinking about parsing and representation... entropicthoughts.com/the-greatnes...

Specifically from the question: do text adventures really give players a lot of freedom?

The Greatness of Text Adventures

entropicthoughts.com

1 4 5

Ray Myers @raymyers.bsky.social · 14d

Basically if you want to talk to your chatbot before you talk to me that’s fine. Just don’t expect me to care what your chatbot said.

When I hear from you, I want to hear things that you think and decide to say.

I have my own chatbots to talk to, I don’t need yours.

Better Things Are Possible @internethippo.bsky.social · 14d

I'll cautiously say I've noticed more skepticism about AI in the corporate world and it's mostly because people's coworkers are creating extra work for them. They don't have the vocabulary to describe it yet but it's basically the "Why should I read what you couldn't be bothered to write" thing

Ray Myers @raymyers.bsky.social · 14d

I am the loop.

1

Ray Myers @raymyers.bsky.social · 19d

My loose model: LLMs are the biggest win for:

Low risk
Clear context
Easy to check

Side projects are usually that. Legacy code is the opposite. Can be dealt with but requires significant other measures to counter those, especially risk.

Ray Myers @raymyers.bsky.social · 19d

Great thread.

Making a talk called “AI Hates Legacy Code” for similar reasons.

1

Ray Myers @raymyers.bsky.social · 19d

Yes. It’s a classic blame the user when it breaks, your experience is only valid when it works. We need badly to get away from that behavior.

Ray Myers @raymyers.bsky.social · 20d

Cheers from OpenHands. ACP is gonna be important I think. Good luck with the webinar!

Ray Myers @raymyers.bsky.social · 21d

Such an honor to even be in the same sentence there! I’ll have to start posting here more :)

samuelpx @samuelpx.disludo.com.br · 21d

always cool finding ppl from professional networks in here, really cool picking up "golden breadcrumbs". I always recommend @lizthegrey.com and @raymyers.bsky.social

Ray Myers @raymyers.bsky.social · Sep 30

The existence of the Association for Computing Machinery implies the existence of the Association *against* Computing Machinery.

Ray Myers @raymyers.bsky.social · Sep 29

I feel like one of the biggest gripes about Rust is really that it feels trendy.

Sure, trendiness is an asinine reason to make good choices.

On the other hand, we’ve had mixed results getting people to make good choices any other way.

1

Ray Myers @raymyers.bsky.social · Sep 28

More of a highly emotional robot at any rate. Not sure if that helps sry

1

Ray Myers @raymyers.bsky.social · Sep 28

"You're absolutely right! I should have tested this properly instead of creating multiple broken versions."

1

Reposted by Ray Myers

Iris van Rooij 💭 @irisvanrooij.bsky.social · Sep 26

Let’s say, hypothetically, you appreciated our position paper and @olivia.science and I would be recording answers to questions about it. What questions would you have?

Olivia Guest · Ολίβια Γκεστ @olivia.science · Sep 6

Finally! 🤩 Our position piece: Against the Uncritical Adoption of 'AI' Technologies in Academia:
doi.org/10.5281/zeno...

We unpick the tech industry’s marketing, hype, & harm; and we argue for safeguarding higher education, critical
thinking, expertise, academic freedom, & scientific integrity.
1/n

Abstract: Under the banner of progress, products have been uncritically adopted or
even imposed on users — in past centuries with tobacco and combustion engines, and in
the 21st with social media. For these collective blunders, we now regret our involvement or
apathy as scientists, and society struggles to put the genie back in the bottle. Currently, we
are similarly entangled with artificial intelligence (AI) technology. For example, software updates are rolled out seamlessly and non-consensually, Microsoft Office is bundled with chatbots, and we, our students, and our employers have had no say, as it is not
considered a valid position to reject AI technologies in our teaching and research. This
is why in June 2025, we co-authored an Open Letter calling on our employers to reverse
and rethink their stance on uncritically adopting AI technologies. In this position piece,
we expound on why universities must take their role seriously toa) counter the technology
industry’s marketing, hype, and harm; and to b) safeguard higher education, critical
thinking, expertise, academic freedom, and scientific integrity. We include pointers to
relevant work to further inform our colleagues.

Figure 1. A cartoon set theoretic view on various terms (see Table 1) used when discussing the superset AI
(black outline, hatched background): LLMs are in orange; ANNs are in magenta; generative models are
in blue; and finally, chatbots are in green. Where these intersect, the colours reflect that, e.g. generative adversarial network (GAN) and Boltzmann machine (BM) models are in the purple subset because they are
both generative and ANNs. In the case of proprietary closed source models, e.g. OpenAI’s ChatGPT and
Apple’s Siri, we cannot verify their implementation and so academics can only make educated guesses (cf.
Dingemanse 2025). Undefined terms used above: BERT (Devlin et al. 2019); AlexNet (Krizhevsky et al.
2017); A.L.I.C.E. (Wallace 2009); ELIZA (Weizenbaum 1966); Jabberwacky (Twist 2003); linear discriminant analysis (LDA); quadratic discriminant analysis (QDA).

Table 1. Below some of the typical terminological disarray is untangled. Importantly, none of these terms
are orthogonal nor do they exclusively pick out the types of products we may wish to critique or proscribe.

Protecting the Ecosystem of Human Knowledge: Five Principles

5 12 23

Reposted by Ray Myers

Gergely Orosz @gergely.pragmaticengineer.com · Sep 24

Linear has a 30-minute weekly meeting called "Quality Wednesdays." I sat through one and WOW

Devs show a quality or perf-related fix they did last week. It can be big, or small. We went through 17 issues, from massive backend performance wins, to this tiny one. Can you see it?

3 8 67

Ray Myers @raymyers.bsky.social · Sep 19

Very well written.

Ray Myers @raymyers.bsky.social · Sep 18

This post dedicated to @grammargirl.bsky.social

Ray Myers @raymyers.bsky.social · Sep 18

This just in, Weird AI calls for serifed fonts. Or it might have been Weird Al we’re not sure

1 1 3

Ray Myers @raymyers.bsky.social · Sep 15

Incredulous cis people on other sites have again demanded I explain why I acknowledge gender identities beyond the ones they were aware of in 3rd grade.

In case it's helpful I've captured my stance as clearly as I can here. As always, listen to those it affects more.

raymyers.org/post/gender-...

On Gender Identity

Gender, sex, identity, and acceptance.

raymyers.org

2