Patch

cosmolinguist

Jacobin’s Eric Blanc spoke with Aru Shiney-Ajay, Sunrise Movement’s executive director and a lifelong Minneapolis resident, about Minneapolis’s organizing pushback and how ICE’s opponents can go on the offensive nationwide by pressuring companies like Hilton, Enterprise, and Home Depot to stop collaborating with the agency.[...]

Aru Shiney-Ajay: I don’t think the main barrier in the US is fear. It’s skepticism. Most people don’t believe in our ability to change things. So one of the most important things for organizers right now is to pick campaigns that are ambitious, tangible, and winnable — wins that aren’t so small they feel meaningless but are still actually achievable. Because one of the biggest things we need to prove to ordinary people right now is that we really do have power over how the government operates, and over what happens in our society.

Divya Tyagi, a graduate student pursuing her master’s degree in aerospace engineering, completed this work as a Penn State undergraduate for her Schreyer Honors College thesis. Her research was published in Wind Energy Science.

“I created an addendum to Glauert’s problem which determines the optimal aerodynamic performance of a wind turbine by solving for the ideal flow conditions for a turbine in order to maximize its power output,” said Tyagi, who earned her bachelor’s degree in aerospace engineering.

In this essay, I will argue that, your favourite “tells” that a document was produced by AI, at best, is wrong, and depending on your position, in life, at worst, is dangerous and harmful.[...]
So who trained [AI]? A lot of the early training, data annotations and other manual processes, happened with cheap labour in African countries. There are multiple sources that have revealed the hidden economy of workers that big-tech outsources these kinds of tasks to African countries with unstable political situations, weaker workers rights, and cheap labour.

I appreciate a lot of work Cory Doctorow has done in the last decades. But the arguments he presents here to defend his usage of LLMs for this rather trivial task (which TBH could probably be done reasonably well with traditional means) are part of why the Internet – and therefore the world – looks like it does right now. It’s a set of arguments that wants to delegitimize political and moral actions based on libertarian and utilitarian thinking.

But the mundane reality is much simpler: LLMs fail to effectively solve the problems we have, while creating a vast new class of problems to be solved. They are, ultimately, completely mis-aligned with our needs, and incompatible with the society we live in.

everyone's talking about their teams like they were at the peak of efficiency and bottlenecked by ability to produce code
here's what things actually look like:
- your org rarely has good ideas. ideas being expensive to implement was actually helping
- majority of workers have no reason to be super motivated, they want to do their 9-5 and get back to their life
- they're not using AI to be 10x more effective they're using it to churn out their tasks with less energy spend
- the 2 people on your team that actually tried are now flattened by the slop code everyone is producing, they will quit soon
- even when you produce work faster you're still bottlenecked by bureaucracy and the dozen other realities of shipping something real
- your CFO is like what do you mean each engineer now costs $2000 extra per month in LLM bills"

1. How often does the team routinely ship new versions of the software they build?
2. How often do things break when the team ships a new version?

The social group I still identify with shares my values. We value learning. We value the merits of language design, type systems, software maintenance, levels of abstraction, and yeah, if I’m honest, minute syntactical differences, the color of the bike shed, and the best way to get that perfectly smooth shave on a yak. I’m not sure what we’re called now, "heirloom programmers"?