“He blew the doors off of something we already knew was happening.”
Usually when an investigation blows the doors off of something, it’s because although many people were aware of what was happening inside, not enough did. Even if the primary gain is bringing awareness to an issue, investigative journalism like this is still important. After all, the doors were closed for a reason
What does OC mean in this context?
I don’t have input on cameras specifically, but I have gone pretty deep into trying to understand how to maximise security and interoperability in smart home stuff, through open source control.
A starting point for the you-in-control app to use for smart devices is Home assistant. I was surprised by how easy it was to set up self hosted smart home stuff, largely because there’s loads of guides that build around home assistant. So whether a particular camera works with home assistant is a good starting search filter
For a while, I was subscribed as a patron to Elisabeth Bik’s Patroeon. She’s a microbiologist turned “Science Integrity Specialist” which means she investigates and exposes scientific fraud. Despite doing work that’s essential to science, she has struggled to get funding because there’s a weird stigma around what she does; It’s not uncommon to hear scientists speak of people like her negatively, because they perceive anti-fraud work as being harmful to public trust in science (which is obviously absurd, because surely recognising that auditing the integrity of research is necessary for building and maintaining trust in science).
Anyway, I mention this because it’s one of the most dystopian things I’ve directly experienced in recent years. A lot of scientists and other academics I know are struggling financially, even though they’re better funded than she is, so I can imagine that it’s even worse for her. How fucked up is it for scientific researchers to have to rely on patrons like me (especially when people like me are also struggling with rising living costs).
It’s from 2024, but some of the best coverage of the use of AI in this genocide is from 972mag, a journalistic outlet whose team includes Israelis and Palestinians. https://www.972mag.com/lavender-ai-israeli-army-gaza/
I was talking about this recently with someone (read: ranting as they nodded sympathetically) and I finished up by saying “what’s the point of ‘smart’ tech if the humans who use it are steadily disempowered and ultimately, made less smart?”
I’ve recently been dabbling in HomeAssistant and learning how to set things up properly feels like it’s been making me more smart.
Do you have a link? Because if you tell me you found it but don’t tell me where, then that may put you at risk of being in the same ring of hell as people who comment “nvm, solved it” to their tech forum posts.
That’s incredible, thank you for sharing
As a society, we need to better value the labour that goes into our collective knowledge bases. Non-English Wikipedia is just one example of this, but it highlights the core of the problem: the system relies on a tremendous amount of skilled labour that cannot easily be done by just a few volunteers.
Paying people to contribute would come with problems of its own (in a hypothetical world where this was permitted by Wikipedia, which I don’t believe it is at present), but it would be easier for people to contribute if the time they wanted to volunteer was competing with their need to keep their head above the water financially. Universal basic income, or something similar, seems like one of the more viable ways to improve this tension.
However, a big component of the problem is around the less concrete side of how society values things. I’m a scientist in an area where we are increasingly reliant on scientific databases, such as the Protein Database (pdb), where experimentally determined protein structures are deposited and annotated, as well as countless databases on different genes and their functions. Active curation of these databases is how we’re able to research a gene in one model organism, and then apply those insights to the equivalent gene in other organisms.
For example, the gene CG9536 is a term for a gene found in Drosophila melanogaster — fruit flies, a common model organism for genetic research, due to the ease of working with them in a lab. Much of the research around this particular gene can be found on flybase, a database for D. melanogaster gene research. Despite being super different to humans, there are many fruitfly genes that have equivalents in humans, and CG9536 is no exception; TMEM115 is what we call it in humans. The TL;DR answer of what this gene does is “we don’t know”, because although we have some knowledge of what it does, the tricky part about this kind of research is figuring out how genes or proteins interact as part of a wider system — even if we knew exactly what it does in a healthy person, for example, it’s much harder to understand what kinds of illnesses arise from a faulty version of a gene, or whether a gene or protein could be a target for developing novel drugs. I don’t know much about TMEM115 specifically, but I know someone who was exploring whether it could be relevant in understanding how certain kinds of brain tumours develop. Biological databases are a core component of how we can big to make sense of the bigger picture.
Whilst the data that fill these databases are produced by experimental research that are attached to published papers, there’s a tremendous amount of work that makes all these resources talk to each other. That flybase link above links to the page on TMEM115, and I can use these resources to synthesise research across so many separate fields that would previously have been separate: the folks who work on flies will have a different research culture than those who work in human gene research, or yeast, or plants etc. TMEM115 is also sometimes called TM115, and it would be a nightmare if a scientist reviewing the literature missed some important existing research that referred to the gene under a slightly different name.
Making these biological databases link up properly requires active curation, a process that the philosopher of Science Sabine Leonelli refers to as “data packaging”, a challenging task that includes asking “who else might find this data useful?” [1]. The people doing the experiments that produce the data aren’t necessarily the best people for figuring out how to package and label that data for others to use because inherently, this requires thinking in a way that spans many different research subfields. Crucially though, this infrastructure work gives a scientist far fewer opportunities to publish new papers, which means this essential labour is devalued in our current system of doing science.
It’s rather like how some of the people who are adding poor quality articles to non-English Wikipedia feel like they’re contributing because using automated tools allows them to create more new articles than someone with actual specialist knowledge could. It’s the product of a culture of an ever-hungry “more” that fuels the production of slop, devalues the work of curators and is degrading our knowledge ecosystem. The financial incentives that drive this behaviour play a big role, but I see that as a symptom of a wider problem: society’s desire to easily quantify value causing important work that’s harder to quantify to be systematically devalued (a problem that we also see in how reproductive labour (i.e. the labour involved in managing a family or household) has historically been dismissed).
We need to start recognising how tenuous our existing knowledge is. The OP discusses languages with few native speakers, which likely won’t affect many who read the article, but we’re at risk of losing so much more if we don’t learn to recognise how tenuous our collective knowledge is. The more we learn, the more we need to invest into expanding our systems of knowledge infrastructure, as well as maintaining what we already have.
[1]: I am not going to cite the paper in which Sabine Leonelli coined the phrase “data packaging”, but her 2016 book “Data-Centric Biology: A Philosophical Study”. I don’t imagine that many people will read this large comment of mine, but if you’ve made it this far, you might be interested to check out her work. Though it’s not aimed at a general audience, it’s still fairly accessible, if you’re the kind of nerd who is interested in discussing the messy problem of making a database usable by everyone.
If your appetite for learning is larger than your wallet, then I’d suggest that Anna’s Archive or similar is a good shout. Some communities aren’t cool with directly linking to resources like this, so know that you can check the Wikipedia page of shadow library sites to find a reliable link: https://en.wikipedia.org/wiki/Anna’s_Archive
1 ↩︎
This isn’t useful to me at the moment, but nonetheless, I really appreciate when people like you take the time to share knowledge in this way.
There is a special place in heaven for the people who do this, just as there’s a special place in hell for people who reply to their own forum post about a complex technical problem.
(Side note: I tried the find the xkcd where he is yelling at his computer after finding a forum post from someone who has the exact same computer problem as he does, but the original poster hasn’t updated it. Alas, I couldn’t. If anyone knows which one I mean, I’d appreciate you pointing me to it, because it’ll drive me mad until I remember how to find it)
Exactly. DevOps engineers are already super skilled at using automation where appropriate, but knowing how and when to do that is still an extremely human task
A handful of senior engineers or developers. And then we’re even more ducked when they retire or die, because the no-one is hiring junior engineers or developers
This is supremely silly. I will never use it, but I’m glad that it exists; you’re delightful
What do you mean by “ideological reasons”? You’re using the phrase as if it’s a bad thing, but I struggle to imagine how anyone could exist in a political role such as FTC chair and not bring their ideology into their work.
“too dumb to understand code requirements in every industry and profession.”
Or selfish. Unfortunately Hanlon’s razor can only cut so deep.
Is it? I didn’t get that sense. What causes you to think it’s written by chatGPT? (I ask because whilst I’m often good at discerning AI content, there are plenty of times that I don’t notice it until someone points out things that they notice that I didn’t initially)
Sometimes, I feel like writers know that it’s capitalism, but they don’t want to actually call the problem what it is, for fear of scaring off people who would react badly to it. I think there’s probably a place for this kind of oblique rhetoric, but I agree with you that progress is unlikely if we continue pussyfooting around the problem
“not that hard to do”
Eh, I’m not so sure on that. I often find myself tripping up on the xkcd Average Familiarity problem, so I worry that this assumption is inadvertently a bit gatekeepy.
It’s the unfortunate reality that modern tech makes it pretty hard for a person to learn the kind of skills necessary to be able to customise one’s own tools. As a chronic tinkerer, I find it easy to underestimate how overwhelming it must feel for people who want to learn but have only ever learned to interface with tech as a “user”. That kind of background means that it requires a pretty high level of curiosity and drive to learn, and that’s a pretty high bar to overcome. I don’t know how techy you consider yourself to be, but I’d wager that anyone who cares about whether something is open source is closer to a techy person than the average person.
Glad to see People Make Games cover this. They have a lot of reach