If you're sure you're going to make $1,000,000,000,000,000 as long as you hold onto 10000 pieces of paper, selling them for way, way less than that is very stupid. Even if it's generational wealth, it's still very stupid.
Most of the openai share owners are already millionares, either via the high salaries or whatever. To have people like altman, a billionaire, sell "trillionare" shares for mere millions of even hundreds of millions strongly implies a need to cash put at the top of the bubble, put those hundreds of millions in your hyped up pocket, and let the rubes hold the bag.
The other part of this is the marketing. It may very well be the biggest IPO ever, which will be splashy and loud and keep the bubble going longer, which is exactly something you want if you have no substance to show instead.
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France's data protection authority on Wednesday issued record fines against search giant Google and fast-fashion platform Shein for failing to respect the law on internet cookies.
The two groups, each with tens of millions of users in France, received two of the heaviest penalties ever imposed by the CNIL watchdog: 150 million euros ($175 million) for Shein and 325 million euros for Google.
Cookies are small files saved to browsers by websites that can collect data about users' online activity, making them essential to online advertising and the business models of many large platforms.
France’s data protection watchdog CNIL on Wednesday fined Google €325 million ($380 million) and fast-fashion retailer Shein €150 million ($175 million) for violating cookie rules.
Looks like there are currently four "clubs". Each club has an album release every month. Are the tracks all released by the same artists (new material) or do they select current tracks on Bandcamp to feature in their monthly list? If it's the latter, then it'd be closer to humble monthly but it's DRM-free and you get to keep what was available to you when you were subscribed, even after unsubscribing.
I think my ideal scenario would be a spin-off of this idea, where you pay a monthly fee to select, say, five artists on Bandcamp. For the month you would be able to download all of their content, and the monthly fee is split between the five artists. With this it just seems random, but if you are looking for new content, it may be nice.
I think the price make sense because Bandcamp need to share profit between them, the curator and the artist . You also got an exclusive interview and live session
I personally just don't like the concept. Music is very subjective even if the curator is an talented artist and like you said you said its a mystery album that you may not like
$13/month is so expensive though. And as far as I know, there's still no way to delete anything from your Bandcamp library....and the album is automatically added. What if you hate it?? It'll be there forever.
Yep, I went to check it as soon as it got announced thinking it would be a couple bucks for a monthly mystery album. but it's the same price as a regular one. Maybe if could be worth it later when it gets more clubs since you could find one that fits an specific niche. Rightnow the four ones feel a bit generic
I think the price make sense because Bandcamp need to share profit between them, the curator and the artist . You also got an exclusive interview and live session
I am a bit afraid that they would one day kill bandcamp daily and only keep that. I think it is also problematic that they didn't mention compensation percentage between the curator and the artist
Few countries in the world are considered more vulnerable to the impact of rising sea levels and climate change than Bangladesh, a nation of 175 million people squeezed into a landmass the size of Iowa.
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So much fear mongering and incorrect statements... and I'm only 3 minutes in. I can't...
Nearly all encryption mechanism currently in use on the modern internet is quantum resistant. Breaking RSA-2048 would require millions of stable, error-corrected qubits. I believe the biggest systems right now are at 500 bits at most.
The NIST Post-Quantum Cryptography project has finalized new quantum-resistant algorithms like CRYSTALS-Kyber and Dilithium. These will replace RSA and ECC long before practical quantum attacks exist. Migration has already started.
Symmetric cryptography is mostly safe. Algorithms like AES, SHA-2, SHA-3, and similar remain secure against quantum attacks. Grover's algorithm can halve their effective key strength. Example: AES-256 becomes as secure as AES-128 against a quantum attacker. To crack on AES-128 hash with current efficiency you need ~88TW of power... Even if we make it 10 or 100x more efficient over time... It's too expensive. We don't have the resources to power anything big enough to crack aes-128... The biggest nuclear reactor (Taishan) only puts out a mere 1,660MWe...
It's not happening in our lifetimes. and probably not at all until we start harvesting stars.
Edit: Several typos.
Edit 2: For the AES-256 example that get's reduced to AES-128. It would take implementing efficiencies that reduce power usage by 1000x (there's a few methods that might get worked out in our lifetimes... lets just take them as functional right now). Then you'd need 55 of the biggest nuclear reactors we have on the planet... Then you wait a year for the computer to finish the compute. That decrypts one key.
Weaker keys might be a problem. Sure. But by the time we're there... it won't matter. For things like Singal, Matrix, or anything else that's actively developed... Someone might store the conversation on some massive datacenter out there... And might decrypt it 200 years from now. That's your "risk"... Long after everyone reading this message is dead.
Edit 3: Because I hadn't looked at it in a few months... I decided to check in on Let's Encrypt's (LE) "answer" to it. Since that's what most people here are probably interested in and using. First... remember that Let's Encrypt rotates keys every 90 days. So for your domain, there's 4 keys a year to crack at a minimum. Except that acme services like to register near the halfway point... So more realistically 8 keys a year to decrypt a years worth of data. But it turns out that browsers already have the PQC projects done... And many certificate registrars already support it as well. OpenSSL also supports it from 3.5.0+...
Apparently LE is even moving to MUCH shorter certs... letsencrypt.org/2025/02/20/fir… 6 days... So a new key every half-week (remember acme clients want to renew about halfway through the cycle)... or ~100 keys a year to break. Even TODAY, you're not going to need to worry about "weak" encryption for decades. It will take time for the quantum resources to come available... it will take time to go through the backlog of keys that they are interested in decrypting EVEN IF they're storing 100% of data somewhere. You WILL be long dead before they can even have the opportunity to care about you and your data... The "200 years from now" above reference... is assuming that humans can literally harvest suns for power and break really really big problems in the quantum field. It's really going to be on the order of millennia if not longer before your message to your mom from last year gets decrypted. LE doesn't have PQC on the roadmap quite yet... Probably because they understand there's still some time before it even matters and they want to wait a bit until the cryptography around the new mechanisms is more hashed out.
Edit4: At this point I feel that this post needs a TL;DR...
If you're scared.... rotate keys regularly, the more you rotate, the more keys will have to be broken to get the whole picture... Acme services (Let's Encrypt) already do this. You'll be fine with current day technology long after (probably millennia) your dead. No secret you're hiding will matter 1000 years from now.
Edit5: Fuck... I need to stop thinking about this... but I just want to point out one more thing... It's actually likely that in the next 100 (let alone 1000s of years) that a few bits will rot in your data on their cluster that they're storing. So even IF they manage to store it... and manage to get a cluster big enough that either takes so little power that they can finally power it... or get a power source that can rival literal suns. A few bits flipped here and there will happen... Your messages and data will start to scramble over time just by the very nature of... well... nature... Every sunflare. Every gravitational anomaly. Every transmission from space or gamma particle... has a chance to OOPS a 0 into a 1 or vice versa. Think of every case you've heard of Amazon or Facebook accidentally breaking BGP for their whole service and they're down for hours... Over the course of 100 years... your data will likely just die, or get lost, be forgotten, get broken, etc... The longer it takes for them to figure this out (and science is NOT on their side on this matter) the less likely they even have a chance to recover anything, let alone decrypt it in a timely matter to resolve anything in our lifetimes.
That's not really the issue currently, harvest now, decrypt later is an issue though. To some extent. 🙂 By the way, key exchange is part of TLS 😉 And also: browsers would also need to support any post-quantum key exchange, not just the webserver.
Yea this is a trend with Lemmy and other left leaning spaces. Seems to be a push to convince the left to reject technology in so many new areas. It's crazy to watch the left go from early adopters and being on the bleeding edge of things then shift to modern Luddites
At the time of my reply this post has only 14% upvotes, on this left leaning social space So, no, I don’t think “the left” are modern luddites. Unless of course you are an AI-bro or a crypto-bro (a nearly perfect circle Venn diagram), in which case yeah I can imagine you’d think that.
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This is all downside. If Google complies with the order, it will constitute a privacy breach on a scale never before seen. If they don't comply with the order, it will starve competitors of the one tiny drop of hope that Judge Mehta squeezed out of his pen. It's a catastrophe. An utter, total catastrophe. It has zero redeeming qualities. Hope you like enshittification, folks, because Judge Mehta just handed Google an eternal licence to enshittify the entire fucking internet.
Jeffrey Epstein’s accusers went to the Capitol to ask Congress to get behind their calls for more disclosures, but momentum for a bill demanding it appeared to stall.
The Hawthorne Caballeros performing "On The Edge" during the 2025 DCI All-Age Championship Finals at Lucas Oil Stadium in Indianapolis, Indiana. All of these photos are available under a Creative Commons license, free for you to use as long as you give me
All of these photos are available under a Creative Commons license, free for you to use as long as you give me photography credit. Hawthorne Caballeros 2025 DCI All-Age Championship Finals Photo Credit: Kevin Gamin You can find all of the edited photos from this and other events on my Flickr site. Hawthorne Caballeros 2025 DCI All-Age Championship Finals Photo Credit: Kevin Gamin You can find all of my photos on my Smugmug site. Hawthorne Caballeros 2025 DCI All-Age Championship Finals Photo Credit: Kevin Gamin
A 32-year-old man Mexican man died of unknown causes on Sunday after being detained by U.S. Immigration and Customs Enforcement at a private prison in Arizona, authorities confirmed.
Visti gli imprevisti con HaxeFlixel che non ho ancora avuto il tempo di elaborare qui, stavo (ri)considerando il basato Love2D che, ultimamente mi sono (ri)accorta, gira su talmente tante piattaforme da rendere inutile anche fare degli esempi qui. La cosa seccante di quel coso, però, è che non è esattamente un motore di gioco, quanto […]
l’amore 2d e gli oggetti orientifici, ma quello che accade non fa divertire (test e valutazioni prestazioni OOP su Love2D)
Visti gli imprevisti con HaxeFlixel che non ho ancora avuto il tempo di elaborare qui, stavo (ri)considerando il basato Love2D che, ultimamente mi sono (ri)accorta, gira su talmente tante piattaforme da rendere inutile anche fare degli esempi qui. La cosa seccante di quel coso, però, è che non è esattamente un motore di gioco, quanto più un framework multimediale… e quindi, a differenza di Flixel e altri robini, non ha tutte le varie utilità che è bene avere per poter sviluppare qualcosa senza partire dallo zero assoluto… e quindi, l’idea sarebbe di creare una specie di motorino per esso per gestire cose comuni come sprite, fisica, boh, queste cose (non) belle. 🤥
Ovviamente, il problema inevitabile è sorto immediatamente dopo una giornata di lavoro iniziale — a dire il vero, fatta per fortuna con le pinze, perché ero sotto sotto pronta a vedere cose storte accadere — e cioè che, con una dose di OOP in realtà nemmeno troppo grossa per gli standard comuni, le prestazioni sono crollate così tanto a picco che, per un semplice giochino di Breakout (la demo di HaxeFlixel, che ho adattato strada facendo per testare), da un lato su PC l’uso di CPU si aggirava attorno al 10-15% (che è tipo il quintuplo di cosa fa la stessa demo in HaxeFlixel)… mentre, su piattaforme pazzurde come il 3DS era letteralmente ingiocabile, facendo 5 secondi a frame (e pensare che io ho il new, che è più veloce). 💀
Ho fatto un po’ di ricerca e — per quanto fosse a me comunque ovvio che una programmazione ad oggetti basata principalmente sull’ereditarietà rende un programma più lento, perché i sassi elettronici sono fatti per eseguire istruzioni sequenziali e lavorare con memoria quanto più continua possibile, che è il contrario di cosa succede con tutte quelle classi che estendono classi che estendono il mercato che mio padre comprò — non immaginavo che su Lua il calo prestazionale fosse tale da essere non solo evidente, ma proprio fuori scala in certi casi. E ora, dunque, i problemi sono grossissimi. 😤
Anche stavolta ho raccolto molti link a riguardo di questa ennesima causa di sofferenza per me, e in realtà ancora non ho capito bene la questione, ma un grande problema sembra essere causato dagli accessi a tabelle nidificate, e alle chiamate di funzioni fatte più del necessario anche per operazioni altrimenti veloci… e nel mio caso certamente una buona parte di overhead in questo senso sarà causata dal fatto di non scrivere Lua nativo, bensì usare Haxe (o in alternativa, TypescriptToLua) per traspilare a Lua, ma sentivo che il problema non poteva essere solo il codice bloattato generato da questi affari… 🧨
E infatti, scrivendo in Lua puro un piccolo benchmark (battezzato al volo solo per dare un titolo al memo: “Love2D fucking rectangles“, genera innumerevoli rettangoli e li fa muovere calcolando le collisioni), prima in modo classico e poi con un minimo di OOP, ed eseguendolo oltre i limiti del ragionevole, ho visto le cose brutte: la versione OOP è in effetti più lenta. Non tanto più lenta, e comunque dipende dalle opzioni con cui la si fa girare, ma solo perché è comunque molto semplice… a differenza del motorino che tanto vorrei creare per replicare la API di HaxeFlixel in Love2D per quanto possibile (evidentemente, non molto possibile). 😭 Dopo ben 4 (quattro) immagini non so se ho voglia di elaborare oltre… Ma, in sostanza: in una modalità, il programma genera solo X (200mila) rettangoli all’avvio, mentre nell’altra ne genera X (200) a frame, andando all’infinito, calcolando sempre le collisioni… e quindi con la prima si esclude una lentezza dovuta alla continua istanziazione di oggetti, mentre la seconda da modo di vedere come un programma rallenta nel tempo rispetto all’altro (generando meno oggetti a parità di tempo). 💥
Nella prima modalità, il carico è basato principalmente sull’accesso alla chiamata draw, quindi non potevo limitare il numero di quadrati effettivamente visibili, e quindi ho potuto eseguirla solo su PC, dove si nota in media un rallentamento di circa il doppio per la versione OOP, che accede a svariate proprietà nidificate per fare il disegno… Mentre, nella seconda la prova il carico era più il resto, quindi ho deciso di limitare il numero di rettangoli visibili a schermo ad ogni frame agli ultimi X (500), e questo mi ha permesso di eseguire il programma pure sul 3DS senza che crashasse (credo ci siano limiti di VRAM lì), ma sia su PC che su 3DS si vede che la versione non-OOP riesce a generare in media 1,2 sprite in più per delta di tempo, differenza che nel corso di minuti diventa di migliaia di sprite. 😵
Incredibile, spassoso, magicante, ma… e adesso??? Boh! Dovrò ingegnarmi pesantemente per creare un motorino sufficientemente generalizzato da poter essere usato come comoda libreria per molti giochi Love2D, ma che allo stesso tempo sia efficiente… ma qui casca l’asino, perché per implementare concetti come uno sprite, che oltre ai classici dati come posizione X e Y ha un oggetto “disegnabile”, che può essere un’immagine o una forma geometrica, che quindi richiede chiamate della API Love2D completamente diverse dietro le quinte, non vedo alternativa non incasinata se non l’OOP; ma non basterà usare più la composizione che l’ereditarietà, bensì per sconfiggere l’overhead serviranno mosse di design interne talmente scomode che ho davvero tanta paura anche solo a pensare di scriverle… 😱
Note: this lemmy post was originally titled MIT Study Finds AI Use Reprograms the Brain, Leading to Cognitive Decline and linked to this article, which I cross-posted from this post in !fuck_ai@lemmy.world.
Someone pointed out that the "Science, Public Health Policy and the Law" website which published this click-bait summary of the MIT study is not a reputable publication deserving of traffic, so, 16 hours after posting it I am editing this post (as well as the two other cross-posts I made of it) to link to MIT's page about the study instead.
The obvious AI-generated image and the generic name of the journal made me think that there was something off about this website/article and sure enough the writer of this article is on X claiming that covid 19 vaccines are not fit for humans and that there's a clear link between vaccines and autism.
Its so disturbing. Especially the bit about your brain activity not returning to normal afterwards. They are teaching the kids to use it in elementary schools.
I think they meant it doesn't return to non-AI-user levels when you do the same task on your own immediately afterwards. But if you keep doing the task on your own for some time, I'd expect it to return to those levels rather fast.
That's probably true, but it sure can be hard to motivate yourself to do things yourself when that AI dice roll is right there to give you an immediate dopamine hit. I'm starting to see things like vibecoding being as addictive as gambling. Personally I don't use AI because I see all the subtle ways it's wrong when programming, and the more I pay attention to things like AI search results, it seems like there's almost always something misrepresented or subtly incorrect in the output, and for any topics I'm not already fluent in, I likely won't notice these things until it's already causing issues
This "dopamine hit" isn't a permanent source of happiness, just repeatedly clicking "randomize" button not going to make you feel constantly high, after 3 maybe 5 hits you will start noticing a common pattern that gets old really fast. And to make it better you need to come up with ways to declare different structures, to establish rulesets, checklists, to make some unique pieces at certain checkpoints yourself, while allowing LLM to fill all the boilerplate around it, etc. Which is more effort but also produces more rewarding results. I like to think about it this way: LLM produces the best most generic thing possible for the prompt. Then I look at it and consider which parts I want to be less generic and reprompt. In programming or scripting, I'm okay with "best generic thing" that solves the problem I have. If I were writing novels, maybe it's usable for some kind of top-down writing where you start with high-level structure, then clarify it step by step down to the lowest level. You can use AI to write around this structure, and if something is too boring/generic it's again simply a matter of refining this structure more and expanding something into multiple more detailed things.
To date, after having gooned once (ongoing since September 2023), my core executive functions, my cognitive abilities and my behaviors have not suffered in the least. In fact, potato.
Does this also explain what happens with middle and upper management? As people have moved up the ranks during the course of their careers, I swear they get dumber.
I’d expect similar at least. When one doesn’t keep up to date on new information and lets their brain coast it atrophies like any other muscle would from disuse.
That was my first reaction. Using LLMs is a lot like being a manager. You have to describe goals/tasks and delegate them, while usually not doing any of the tasks yourself.
Fuck, this is why I'm feeling dumber myself after getting promoted to more senior positions and had only had to work in architectural level and on stuff that the more junior staffs can't work on.
After being out of being a direct practitioner, I will say all my direct reports are “faster” in programs we use at work than I am, but I’m still waaaaaaaaaay more efficient than all of them (their inefficiencies drive me crazy actually), but I’ve also taken up a lot of development to keep my mind sharp. If I only had my team to manage and not my own personal projects, I could really see regressing a lot.
My dad around 1993 designed a cipher better than RC4 (I know it's not a high mark now, but it kinda was then) at the time, which passed audit by a relevant service.
My dad around 2003 still was intelligent enough, he'd explain me and my sister some interesting mathematical problems and notice similarities to them and interesting things in real life.
My dad around 2005 was promoted to a management position and was already becoming kinda dumber.
My dad around 2010 was a fucking idiot, you'd think he's mentally impaired.
My dad around 2015 apparently went to a fortuneteller to "heal me from autism".
So yeah. I think it's a bit similar to what happens to elderly people when they retire. Everything should be trained, and also real tasks give you feeling of life, giving orders and going to endless could-be-an-email meetings makes you both dumb and depressed.
people only get promoted so far as their inadequacies/incompetence shows. and then their job becomes covering for it.
hence why so many middle managers primary job is managing the appearance of their own competence first and foremost and they lose touch with the actual work being done... which is a key part of how you actually manage it.
Yeah, that's part of it. But there is something more fundamental, it's not just rising up the ranks but also time spent in management. It feels like someone can get promoted to middle management and be good at the job initially, but then as the job is more about telling others what to do and filtering data up the corporate structure there's a certain amount of brain rot that sets in.
I had just attributed it to age, but this could also be a factor. I'm not sure it's enough to warrant studies, but it's interesting to me that just the act of managing work done by others could contribute to mental decline.
I don't refute the findings but I would like to mention: without AI, I wasn't going to be writing anything at all. I'd have let it go and dealt with the consequences. This way at least I'm doing something rather than nothing.
I'm not advocating for academic dishonesty of course, I'm only saying it doesn't look like they bothered to look at the issue from the angle of:
"What if the subject was planning on doing nothing at all and the AI enabled the them to expend the bare minimum of effort they otherwise would have avoided?"
sad that people knee jerk downvote you, but i agree. i think there is definitely a productive use case for AI if it helps you get started learning new things.
It helped me a ton this summer learn gardening basics and pick out local plants which are now feeding local pollinators. That is something i never had the motivation to tackle from scratch even though i knew i should.
It helped me a ton this summer learn gardening basics and pick out local plants which are now feeding local pollinators. That is something i never had the motivation to tackle from scratch even though i knew i should.
Given the track record of some models, I'd question the accuracy of the information it gave you. I would have recommended consulting traditional sources.
I would have recommended consulting traditional sources.
jfc you people are so eager to shit on anything even remotely positive of AI.
Firstly, the entire point of this comment chain is that if "consulting traditional sources" was the only option, I wouldn't have done anything. My back yard would still be a barren mulch pit. AI lowered the effort-barrier of entry, which really helps me as someone with ADHD and severe motivation deficit.
Secondly, what makes you think i didn't? Just because I didn't explicitly say so? yes, i know not to take an LLM's word as gospel. i verified everything and bought the plants from a local nursery that only sells native plants. There was one suggestion out of 8 or so that was not native (which I caught before even going shopping). Even with that overhead of verifying information, it still eliminated a lot of busywork searching and collating.
Saw you down-voted and wanted to advise that I am glad you went on to learn some things you had been meaning to, that alone makes the experiment worthwhile as discipline is a rare enough beast. To be clear I myself have a Claude subscription that is about to lapse, and find the article unfortunately spot on. I feel fortunate to have moved away from LLMs naturally.
Could you expand with an example because what you said is too vague to really extract any point from. I'd argue that if it gives you wrong information, doing something wrong is worse than doing nothing.
doing something wrong is worse than doing nothing.
Is this a general statement right? Try to forget about context then and read that again 😅
I actually think the moments when AI goes wrong are the moments that stimulate you and make you realize what you're doing and what you want to achieve better. And when you do subsequent prompts to fix the issue, you essentially do problem solving on figuring out what to ask to make it do the exact thing you want. And it's never going to be always right, simply because most of cases of it being wrong is you not providing enough details about what you actually want. So step-by-step AI usage with clarifications and fixes is always going to be brain-stimulating problem solving process.
I've tried using llm for a couple of tasks before I gave up on the jargon outputs and nonsense loops that they kept feeding me.
I'm no coder / programmer but for the simple tasks / things I needed I took inspo from others, understood how the scripts worked, added comments to my own scripts showing my understanding and explaining what it's doing.
I've written honestly so much, just throwing spaghetti at the wall and seeing what sticks (works). I have fleshed out a method for using base16 colour schemes to modify other GTK* themes so everything in my OS matches. I have declarative containers, IP addresses, secrets, containers and so much more. Thanks to the folks who created nix-colors, I should really contribute to that repo.
I still feel like a noob when it comes to Linux however seeing my progress in ~ 1y is massive.
I managed to get a working google coral after everyone else's scripts (that I could find on Github) had quit working (NixOS). I've since ditched that module as the upkeep required isn't worth a few ms in detection speeds.
I don't believe any of my configs would be where they are if I'd asked a llm to slap it together for me. I'd have none of the understanding of how things work.
I'm happy for your successes and your enthusiasm! I'm in a different position, I'm kinda very lazy and have little enthusiasm regarding coding/devops stuff specifically, but I enjoy backsitting the Copilot. I also think that you're definitely learning more by doing everything yourself, but it's not really true that you learn nothing by only backsitting LLM, because it doesn't just produce working solution from a single prompt, you have to reprompt and refine things again and again until you get what you want and it's working as expected. I feel myself a bit overpowered this way because it lets me get things done extraordinarily fast. For example, at 00:00 I was only choosing a VPS to buy and by 04:00 I already had wireguard server with port forwarding up and running and all my clientside stuff configured and updated accordingly. And I had some exotic issues during setup which I also troubleshoot using LLM, like for example, my clientside wg.conf file getting wrong SELinux context and wg-quick daemon refusing to work because of that:
unconfined_u:object_r:user_home_t:s0
I never knew such this thing even exist, and LLM just casually explained that and provided a fix:
LLMs are good as a guide to point you in the right direction. They’re about the same kind of tool as a search engine. They can help point you in the right direction and are more flexible in answering questions.
Much like search engines, you need to be aware of the risks and limitations of the tools. Google with give you links that are crawling with browser exploiting malware and LLMs will give you answers that are wrong or directions that are destructive to follow (like incorrect terminal commands).
We’re a bit off from the ability to have models which can tackle large projects like coding complete applications, but they’re good at some tasks.
I think the issue is when people try to use them to replace having to learn instead of as a tool to help you learn.
We’re a bit off from the ability to have models which can tackle large projects like coding complete applications, but they’re good at some tasks.
I believe they're (Copilot and similar) good for coding large projects if you use them in small steps and micromanage everything. I think in this mode of use they save a huge amount of time, and more importantly, they prevent you wasting your energy doing grindy/stupid/repetitive parts and allow you to save it for actually interesting/challenging parts.
Well that's why u was asking for an example of sorts. The problem is that if you're just starting out, you don't know what you don't know and more importantly, you won't be able to tell if something is wrong. It doesn't help that LLMs are notoriously good at being confidently incorrect and prone to hallucinations.
When I tried it for programming, more often than not, it has hallucinated functions and APIs that did not exist. And I know that they don't because I've been working at this for more than half of my life so I have the intuition to detect bullshit when it appears. However, for learners they are unlikely to be able to differentiate that.
When you run it, test it, and it doesn't work as expected (or doesn't work at all), that means most likely something is wrong. Not all fields of work require programs to be 100% correct from the first try, pretty often you can run and test your code infinite number of times before shipping/deploying.
I'm in the same boat with many things I'm using AI for. I would never write natpmpc port-forwarding demons, I would never create my own DIY VPN, etc, if I had to do this all by myself. Not because I can't, but because I don't enjoy spending my time diving into tons of manuals for various utilities, protocols, OS level stuff, networking, etc. I would simply give up and use some premade solutions. But with AI, I was able to get it all done while also quickly getting to know some surface-level things about all of this stuff myself.
a custom VPN without security minded planning and knowledge? that sounds like a disaster.
surely you could do other things that have more impact for yourself, still with computers. use wireguard and spend the time with setting up your services and network security. and, port forwarding.. I don't know where are you running that, but linux iptables can do that too, in the kernel, with better performance.
Oops, I meant self-hosting a wireguard server, not actually doing an alternative to wireguard or openvpn themselves...
and, port forwarding… I don’t know where are you running that, but linux iptables can do that too, in the kernel, with better performance.
With my previous paid VPN I had to use natpmpc to ask their server for forwarding/binding ports for me, and I also had to do that every 45 seconds. It's nice to get a bash script running in a systemd demon that does that in a loop, and also parses output and saves remote ports server gave us this time to file in case we need them (like, for setting up a tor relay). Also, I got another script and demon for tor relay that monitors forwarded port changes (from a file) and updates torrc and restarts tor container. All this by Copilot, without knowing bash at all. Without having to write complex regexes to parse that output or regexes to overwrite tor config, etc. It's not a single prompt, it requires some troubleshooting and clarifications and ultimately I got to know some of the low level details of this myself. Which is also great.
Oops, I meant self-hosting a wireguard server, not actually doing an alternative to wireguard or openvpn themselves...
oh, that's fine then, recommended even.
With my previous paid VPN I had to use natpmpc to ask their server for forwarding/binding ports for me, and I also had to do that every 45 seconds. It's nice to get a bash script running in a systemd demon that does that in a loop, and also parses output and saves remote ports server gave us this time to file in case we need them (like, for setting up a tor relay).
oh so this is a management automation that requests an outside system to open ports, and updates services to use the ports you got. that's interesting! what VPN service was that?
All this by Copilot, without knowing bash at all.
be sure to run shellcheck for your scripts though, it can point out issues. aim for it to have no output, that means all seems ok.
be sure to run shellcheck for your scripts though, it can point out issues. aim for it to have no output, that means all seems ok.
It does some logging though, and I read what it logs via systemctl --user status. Anyway, those scripts/services so far are of a simple kind - if they don't work, I notice that immediately, because my torrents not seeding or my tor/i2p proxy ports not working in browser. In case when error can only be discovered conditionally somewhere during a long runtime, it needs more complicated and careful testing.
You haven't done anything, though. If you're getting to the point where you are doing actual work instead of letting the AI do it for you, then congratulations, you've learned some writing skills. It would probably be more effective to use some non-ai methods to learn as well though.
If you're doing this solely to produce output, then sure, go ahead. But if you want good output, or output that actually reflects your perspective, or the skills to do it yourself, you've gotta do it the hard way.
Microsoft reported the same findings earlier this year, spooky to see a more academic institution report the same results. microsoft.com/en-us/research/w… Abstract for those too lazy to click:
The rise of Generative AI (GenAI) in knowledge workflows raises questions about its impact on critical thinking skills and practices. We survey 319 knowledge workers to investigate 1) when and how they perceive the enaction of critical thinking when using GenAI, and 2) when and why GenAI affects their effort to do so. Participants shared 936 first-hand examples of using GenAI in work tasks. Quantitatively, when considering both task- and user-specific factors, a user’s task-specific self-confidence and confidence in GenAI are predictive of whether critical thinking is enacted and the effort of doing so in GenAI-assisted tasks. Specifically, higher confidence in GenAI is associated with less critical thinking, while higher self-confidence is associated with more critical thinking. Qualitatively, GenAI shifts the nature of critical thinking toward information verification, response integration, and task stewardship. Our insights reveal new design challenges and opportunities for developing GenAI tools for knowledge work.
This study explores the neural and behavioral consequences of LLM-assisted essay writing. Participants were divided into three groups: LLM, Search Engine…
You're not a dinosaur. Making people feel old and out of the trend is exactly one of the strategies used by big techs to shove their stuff into people.
it's like a health supplement company telling you eating healthy is stupid when they have this powder/pill you should take.
tech evangelism is very cultish and one of it's values is worshipping 'youth' and 'novelty' to an absurd degree, as if youth is automatically superior to experience and age.
It’s a clickbait title. Using AI doesn’t actually cause cognitive decline. They’re saying using AI isn’t as engaging for your brain as the manual work, and then broadly linking that to the widely understood concept that you need to engage your brain to stay sharp. Not exactly groundbreaking.
What a ridiculous study. People who got AI to write their essay can’t remember quotes from their AI written essay? You don’t say?! Those same people also didn’t feel much pride over their essay that they didn’t write? Hold the phone!!! Groundbreaking!!!
I see you skipped that part of academia where they taught that, in science, there are steps between hypothesis and conclusion even if you already think you know the answer.
The obvious AI-generated image and the generic name of the journal made me think that there was something off about this website/article and sure enough the writer of this article is on X claiming that covid 19 vaccines are not fit for humans and that there's a clear link between vaccines and autism.
This study explores the neural and behavioral consequences of LLM-assisted essay writing. Participants were divided into three groups: LLM, Search Engine, and Brain-only (no tools). Each completed three sessions under the same condition.
Thanks for pointing this out. Looking closer I see that that "journal" was definitely not something I want to be sending traffic to, for a whole bunch of reasons - besides anti-vax they're also anti-trans, and they're gold bugs... and they're asking tough questions like "do viruses exist" 🤡
I edited the post to link to MIT instead, and added a note in the post body explaining why.
what should we do then? just abandon LLM use entirely or use it in moderation? i find it useful to ask trivial questions and sort of as a replacement for wikipedia. also what should we do to the people who are developing this 'rat poison' and feeding it to young people's brains?
edit: i also personally wouldn't use AI at all if I didn't have to compete with all these prompt engineers and their brainless speedy deployments
in the long run won't it just become superior to what it is now and outperform us? the future doesn't look bright tbh for comp sci, only good paths i see is if you're studying AI/ML or Security
Probably studying AI/ML or security is a fine choice if that's what you want to do. But if you want to go into CS, it's probably not a bad choice to do. IMO it's much less likely that AI will completely replace all or even many engineers (or people in other industries).
I'm not really worried about competing with the vibe coders. At least on my team, those guys tend to ship more bugs, which causes the fire alarm to go off later.
I'd rather build a reputation of being a little slower, but more stable and higher quality. I want people to think, "Ah, nice. Paequ2 just merged his code. We're saved." instead of, "Shit. Paequ2 just merged. Please nothing break..."
Also, those guys don't really seem to be closing tickets faster than me. Typing words is just one small part of being a programmer.
being able to pull relevant information out of a larger of it, is a incredibly valuable life skill. you should not be replacing that skill with an AI chatbot
Yeah, I went over there with ideas that it was grandiose and not peer-reviewed. Turns out it's just a cherry-picked title.
If you use an AI assistant to write a paper, you don't learn any more from the process than you do from reading someone else's paper. You don't think about it deeply and come up with your own points and principles. It's pretty straightforward.
But just like calculators, once you understand the underlying math, unless math is your thing, you don't generally go back and do it all by hand because it's a waste of time.
At some point, we'll need to stop using long-form papers to gauge someone's acumen in a particular subject. I suspect you'll be given questions in real time and need to respond to them on video with your best guesses to prove you're not just reading it from a prompt.
I don't think this is a fair comparison because arithmetic is a very small and almost inconsequential skill to develop within the framework of mathematics. Any human that doesn't have severe learning disabilities will be able to develop a sufficient baseline of arithmetic skills.
The really useful aspects of math are things like how to think quantitatively. How to formulate a problem mathematically. How to manipulate mathematical expressions in order to reach a solution. For the most part these are not things that calculators do for you. In some cases reaching for a calculator may actually be a distraction from making real progress on the problem. In other cases calculators can be a useful tool for learning and building your intuition - graphing calculators are especially useful for this.
The difference with LLMs is that we are being led to believe that LLMs are sufficient to solve your problems for you, from start to finish. In the past students who develop a reflex to reach for a calculator when they don't know how to solve a problem were thwarted by the fact that the calculator won't actually solve it for them. Nowadays students develop that reflex and reach for an LLM instead, and now they can walk away with the belief that the LLM is really solving their problems, which creates both a dependency and a misunderstanding of what LLMs are really suited to do for them.
I'd be a lot less bothered if LLMs were made to provide guidance to students, a la the Socratic method: posing leading questions to the students and helping them to think along the right tracks. That might also help mitigate the fact that LLMs don't reliably know the answers: if the user is presented with a leading question instead of an answer then they're still left with the responsibility of investigating and validating.
But that doesn't leave users with a sense of immediate gratification which makes it less marketable and therefore less opportunity to profit...
arithmetic is a very small and almost inconsequential skill to develop within the framework of mathematics.
I'd consider it foundational. And hardly small or inconsequential given the time young people spend mastering it.
Any human that doesn’t have severe learning disabilities will be able to develop a sufficient baseline of arithmetic skills.
With time and training, sure. But simply handing out calculators and cutting math teaching budgets undoes that.
This is the real nut of comparison. Telling kids "you don't need to know math if you have a calculator" is intended to reduce the need for public education.
I’d be a lot less bothered if LLMs were made to provide guidance to students, a la the Socratic method: posing leading questions to the students and helping them to think along the right tracks.
But the economic vision for these tools is to replace workers, not to enhance them. So the developers don't want to do that. They want tools that facilitate redundancy and downsizing.
But that doesn’t leave users with a sense of immediate gratification
Don't lean on an AI if you want to develop general ~~cognition~~ essay writing skills.
Sorry the study only examined the ability to respond to SAT writing prompts, not general cognitive abilities. Further, they showed that the ones who used an AI just went back to "normal" levels of ability when they had to write it on their own.
LoL. These damn kids! No one wants to re-invent the wheel anymore! Well, if you’re not duplicating the works of Hipparchus of Nicaea, you’re a lazy good for nothing!
Sure, and it’s important to know how to perform math functions without a calculator. But once you learn it, and move on to something more advanced or day-to-day work, you use the calculator.
Many people who use AI are doing it to supplement their workflow. Not replace it entirely, though you wouldn’t know that with all these ragebait articles.
I already have seen a massive decline personally and observationally (watching other people) in conversation skills.
Most people now to talk to each other like they are exchanging internet comments. They don't ask questions, they don't really engage... they just exchange declaratory sentences. Heck most of the dates I went on the past few years... zero real conversation and just vague exchanges of opinion and commentary. A couple of them went full on streamer, like just ranting at me and randomly stopping to ask me nonsense questions.
Most of our new employees the past year or two really struggle with any verbal communication and if you approach them physically to converse about something they emailed about they look massively uncomfortable and don't really know how to think on their feet.
Before the pandemic I used to actually converse with people and learn from them. Now everyone I meet feels like interacting with a highlight reel. What I don't understand is why people are choosing this and then complaining about it.
That doesn't require a few years, there are loads of people out there already who have forgotten how to have a conversation
Especially moderators, who typically are the polar opposite nog the word. You disagree with my factually incorrect statement? Ban. Problem solved. You disagree with my opinion? Ban.
Similarly I've seen loads of users on Lemmy (and before or reddit) that just ban anyone who asks questions or who disagrees.
It's so nice and easy, living in a echo chamber, but it does break your brain
And now, since you are the father of writing, your affection for it has made you describe its effects as the opposite of what they really are. In fact, [writing] will introduce forgetfulness into the soul of those who learn it: they will not practice using their memory because they will put their trust in writing, which is external and depends on signs that belong to others, instead of trying to remember from the inside, completely on their own. You have not discovered a potion for remembering, but for reminding; you provide your students with the appearance of wisdom, not with its reality. Your invention will enable them to hear many things without being properly taught, and they will imagine that they have come to know much while for the most part they will know nothing. And they will be difficult to get along with, since they will merely appear to be wise instead of really being so.
—a story told by Socrates, according to his student Plato
The other day I saw someone ask ChatGPT how long it would take to perform 1.5 million instances of a given task, if each instance took one minute. Mfs cannot even divide 1.5 million minutes by 60 to get get 25,000 hours, then by 24 to get 1,041 days. Pretty soon these people will be incapable of writing a full sentence without ChatGPT's input
Edit to add: divide by 365.25 to get 2.85 years. Anyone who can tell me how many months that is without asking an LLM gets a free cookie emoji
You forgot doing the years, which is a bit trickier if we take into account the leap years.
According to the Gregorian calendar, every fourth year is a leap year unless it's divisible by 100 – except those divisible by 400 which are leap years anyway. Hence, the average length of one year (over 400 years) must be:
365 + 1⁄4 − 1⁄100 + 1⁄400 = 365.2425 days
So,
1041 / 365.2425 ≈ 2.85 years
Or 2 years and...
0.850161194275 × 365.2425 ≈ 310 days and...
0.514999999987 × 24 ≈ 12 hours and...
0.359999999688 × 60 ≈ 21 minutes and...
0.59999998128 × 60 ≈ 36 seconds
1041 days is just about 2y 310d 12h 21m 36s
Wtf, how did we go from 1041 whole days to fractions of a day? Damn leap years!
Had we not been accounting for them, we would have had 2 years and...
0.852054794521 × 365 = 311.000000000165 days
Or simply 2y 311d if we just ignore that tiny rounding error or use fewer decimals.
Seems about right! But really, it often seems pretty useful to me, since it removes a lot of unnecessary information thoughout a content feed or thread, though I usually still want to be able to see the exact date and time when tapping or hovering over the value for further context.
Edit: However, the lemmy client I use, Eternity, shows the entire date and time for each comment instead of the age of it, and I'm fine with that too, but unsure what I actually prefer...
The lemmy app on my phone does basic calculator functions.
Thank you, you really didn't have to. That cupcake is truly the icing and it's almost too much! I'll give you this giant egg of unknown origin: 🥚 in return, as long as you promise to use it for baking and making some more of those cupcakes for whoever else needs or deserves one within the next few days, hours, minutes, seconds, milliseconds and 999999 bananoseconds 🍌
Rough estimate using 30 days as average month would be ~35 months (1050 = 35×30). The average month is a tad longer than 30 days, but I don't know exactly how much. Without a calculator, I'd guess the total result is closer to 34.5. Just using my own brain, this is as far as I get.
Now, adding a calculator to my toolset, the average month is 365.2425 d / 12 m = 30.4377 d/m. The total result comes out to about 34.2, so I overestimated a little.
Also, the total time is 1041.66... which would be more correctly rounded to 1042, but has negligible impact on the redult.
Edit: I saw someone else went even harder on this, but for early morning performance, I'm satisfied with my work
I still remember all my family’s phone numbers from when I was a kid growing up In WV in the 70s
I currently have my wife’s number memorized and that’s it. Not my mom, my kids, friends, anybody. I just don’t have to. It’s all in my phone.
But I’m also of the opinion that NOT having this info in my head has freed it up for more important things. Like memes and cat videos 🤣
But seriously, I don’t think this tool, and AI is just a tool, is dumbing me down. Yes I think about certain things less, but it allows me to ask different or better questions, and just learn differently. I don’t necessarily trust everything it spits out, I double check all code it produces, etc. It’s very good at explaining things or providing other examples. Since I’m older, I’ve heard similar arguments about TV and/or the Internet. LLMs are a very interesting tool that have good and bad uses. They are not intelligent, at least not yet, and are not the solution to everything technical. They are very resource intensive and should be used much more judiciously then the currently are.
Ultimately it boils down to if you’re lazy, this allows you to be more lazy. If you don’t want to continue learning and just rely on it, you are gonna have a bad time. Be skeptical, questioning, employee critical thinking, take in information from lots of sources, and in the end you will be fine. That is unless it becomes sentient and wipes us all out.
This is the furthest thing from my experience lol I can type 2 letters in my phone, see the right name and press call. I haven’t memorised a phone number since before the year 2000* (*hyperbole)
Been vibe coding hard for a new project this past week. It's been working really well but I feel like I watched a bunch of TV. Like it's passive enough like I'm flipping through channel, paying a little attention and then going to the next.
Where as coding it myself would engage my brain and it might feel like reading.
It's bizarre because I've never had this experience before.
Until now, Instagram on iPad was just a blown-up iOS app, which wasn't pleasant to look at. The company said that it has now revamped the experience to suit the big screen.
The states Democratic governors offered few specifics Wednesday as to how they hope the Western Health Alliance could influence which vaccines will be available in their states.
Replacing TV and movie streaming services is pretty trivial, and typically one of the first projects for any new self-hoster, but music streaming services are a whole different beast. There's a growing need to replace the likes of Spotify, but there's no one-size-fits-all solution, and maintaining an on-disk music library will always be a lot of manual work. That being said, I've put together a stack that I'm happy with for now, and there was some interest in the full details, so I'll try to slap together a tutorial here.
Is a power crunch looming? Explore the surging energy demands of data centers and discover solutions for sustainable growth in an energy-constrained world.
A risk-based, spatially explicit analysis of carbon storage in sedimentary basins establishes a prudent planetary limit of around 1,460 Gt of geological carbon storage, which requires making explicit decisions on priorities for storage use.
Ultimately it is a solution for one aspect of the problem, but not a panacea on its own. Yes we have to stop putting carbon into the atmosphere. But we also have to remove it. We could let geology take its time to do that for us, but we'd have a difficult hundred or so millennia in the interim. Might as well try to soak it all back up (powered by non-polluting forms of energy).
We can always bury it deep down inside and never deal with it like we do with atmospheric CO2. Maybe transition 3 or 4 coal plants to “natural” gas and have brands sponsor logging company efforts to “plant trees.”
CCS has only been proposed by Exxon and others at a very small scale, purely for marketing purposes, so they can say they are helping to capture carbon dioxide and help the climate. It's just like the "how can you reduce your individual footprint" stuff, where the real answer is "vote out the corrupt politicians owned by Big Oil, and force oil executives to face consequences for what they've done to the planet". Dropping this here, please share.
It should, but will not. What it will do is increase profits marginally milking fed dollars for test projects that go over budget and over timeframe without working, and without them actually trying.
Since Bush at least they have been funding this stuff. Technohopium to justify biz as usual.
LOL, not at the rate we're at now! C'mon, you don't think the population going from 3.7 billion in my childhood to 8+ billion today isn't a major factor?
People think of their personal habits, mostly driving, when they think of global CO2. Factor in all those people eating. That's a shitload of farm CO2, and other waste. And look how fat we are in the first world!
Concrete is a major driver of CO2 emissions, something like 7-8%. Guess what all of us need to build our homes and infrastructure.
On top of that, worldwide poverty has nosedived in that time, and that's a great thing, but people that weren't burning fuel and needing plastics are doing so now. Even as population has exploded, poverty is still riding hard on the down slope. That lift out of poverty requires energy, and shitloads of it.
Depopulation is going to cause worldwide economic depression. But whether by individual choice, government decree or climate change, it's gonna happen. I don't know of any economic system that can weather this.
You can get a very modest difference in future emissions by encouraging the use of contraceptives, and educating girls, but it isn't going to get you out of the need for a rapid shift off fossil fuels.
Behold, the eco fascist in the wild, promoting mass murder as a solution to something that can only be solved with cooperation.
Edit: There are extremely specific people who would benefit the world by ceasing to exist, and those people are billionaires. There are way to make billionaires not exist other then killing them.
For anyone still typing “CO2“ instead of CO₂: Just put “CO₂” into your text replacement, autocorrect, espanso config or whatever and get taken seriously. please? #CO₂ #FFS
Photo: Florida House/Rashon Young for Florida House Florida Democrats scored decisive victories in two special elections on Tuesday (September 2), signaling growing opposition to Republican leadership. According to the Orlando Sentinel, RaShon Young and LaVon Bracy Davis both won their races for the Florida House and Senate, respectively. Young, a legislative staffer and former NASA … Continued
As you might already know or have seen if you browse the local feed of our instance, we are going to be putting into effect some tighter rules around what sort of communities will be allowed on this instance. Mostly just saying this is a literature focused instance so we want literature focused communities on here. I've reached out to all of the moderators of the communities that will be disallowed going forward and they have graciously agreed to start their migration. I do want to say we appreciate whole-heartily how understanding everyone has been with this change. This is going to be a rolling change, I don't except compliance immediately to all who are affected. I have updated the rules in the sidebar, but we will work with a rolling schedule to allow for migrations.
Please keep instance-hosted communities related to literature and literature topics.
This is the new rule. This only affects communities, you can of course use your accounts on here to interact with other communities in the fediverse. I don't think I needed to say that, but I guess better safe than sorry? Please feel free to reach out with any suggestions!
Publicly available government contracts show that Israel’s advertising bureau, which reports to the prime minister’s office, has since embarked on a mass advertising and public messaging effort to conceal the hunger crisis. The push includes the use of American influencers widely reported on last month. It also includes a high-dollar spending spree on paid advertising, yielding tens of millions for Google, YouTube, X, Meta, and other tech platforms.
“There is food in Gaza. Any other claim is a lie,” asserted a propaganda video published by Israel’s foreign ministry to Google’s YouTube video sharing platform in late August and viewed more than 6 million times. Much of the video’s reach results from an ad placed during an ongoing and previously unreported $45 million (NIS 150 million) advertising campaign initiated between Google and Netanyahu’s office in late June.
The contract—which is with both YouTube and Google's advertising campaign management platform, Display & Video 360—explicitly characterizes the ad campaign as hasbara, a Hebrew word whose meaning is somewhere between public relations and propaganda
Google is in the middle of a six-month, $45 million contract to amplify propaganda with Netanyahu’s office. The contract describes Google as a “key entity” supporting the prime minister’s messaging.
I remember getting pro-Israel ads literally the day after the attacks and was like wow, kinda gross. But also they just had this shit ready to go? Or were able to churn it out that quickly? It seems really disrespectful to those that died.
I saw an ad on YouTube for what a good job ICE is doing not that long ago. Kristi Noem was in it.
More disturbingly, I've noticed a little scattering of those "police bodycam raw video" channels starting to play up when the criminal involved is an immigrant, what their status was, how ICE was involved, and so on. There's clearly something at work that's a little more subtle and sinister than just paid advertising.
Come on now, Google is just a business trying to make ends meet. All the starving, dying Palestinians in an open air concentration camp have to do is spend $45 million on a counter advertising campaign. Like... Duh.
Publicly available government contracts show that Israel’s advertising bureau, which reports to the prime minister’s office, has since embarked on a mass advertising and public messaging effort to conceal the hunger crisis. The push includes the use of American influencers widely reported on last month. It also includes a high-dollar spending spree on paid advertising, yielding tens of millions for Google, YouTube, X, Meta, and other tech platforms.
“There is food in Gaza. Any other claim is a lie,” asserted a propaganda video published by Israel’s foreign ministry to Google’s YouTube video sharing platform in late August and viewed more than 6 million times. Much of the video’s reach results from an ad placed during an ongoing and previously unreported $45 million (NIS 150 million) advertising campaign initiated between Google and Netanyahu’s office in late June.
The contract—which is with both YouTube and Google's advertising campaign management platform, Display & Video 360—explicitly characterizes the ad campaign as hasbara, a Hebrew word whose meaning is somewhere between public relations and propaganda
Google is in the middle of a six-month, $45 million contract to amplify propaganda with Netanyahu’s office. The contract describes Google as a “key entity” supporting the prime minister’s messaging.
At a Glance In this report, the Congressional Budget Office analyzes the recent availability, use, and operating and support costs of stealthy F-35 fighter aircraft. Programwide operating and support costs exceeded $5 billion in 2023.
The Trump administration’s war on immigrants is expanding. Homeland Security Secretary Kristi Noem on Sunday confirmed its deportation operations would ramp up in Chicago and other major U.S. cities in the coming weeks. When the new fiscal year kicks in October 1, Immigration Customs and Enforcement can begin tapping billions in new funds from President Trump’s Big Beautiful Bill. With the agency seeking to hire 10,000 new agents, Americans can expect more violent raids snatching their neighbors off the streets.
The epicenter of America’s anti-immigrant campaign has been Los Angeles and its surrounding cities, where thousands have been arrested since June. Almost every day this summer, federal agents from ICE and U.S. Border Patrol have stalked Home Depot parking lots, car washes, and immigrant communities across Southern California, detaining people based on ethnicity or language.
“If they break LA, they can break any community in this country.”
But as the Trump administration’s war on immigrants expands, so does the resistance against it.
“It’s important that they break LA,” said Ron Gochez, a high school history teacher and leading member of the LA-based grassroots group Unión Del Barrio. “If they break LA, they can break any community in this country.”
Gochez and Unión Del Barrio are a part of the Community Self-Defense Coalition, a network of dozens of grassroots groups. The network conducts daily street patrols to warn their neighbors of possible ICE activity.
Filmmaker Brandon Tauszik embedded with Gochez and other members of Unión Del Barrio throughout the summer for The Intercept. In the documentary film “A City Fights Back: How LA Defends Itself Against ICE,” activists show a multifaceted strategy of opposition. They drive the streets in search of federal agents, monitor highway off-ramps to flag suspicious cars entering their communities, organize protests, and recruit and train new members willing to combat ICE.
For Gochez, a high school teacher and a father, the stakes are increasingly personal.
Ron Gochez at a rally outside a Home Depot in Los Angeles. Photo: Brandon Tauszik/The Intercept
On August 8, federal agents snatched up high school student Benjamin Marcelo Guerrero-Cruz, 18, while he was walking his dog in Van Nuys, days before he was set to begin his senior year at Reseda Charter High School. He remains in ICE detention at a privately owned facility 80 miles away in Adelanto, California. Days later, agents detained at gunpoint Nathan Mejia, 15, outside of Arleta High School before releasing him later that day.
Both Mejia and Guerrero-Cruz are students in the Los Angeles Unified School District, where Gochez teaches. In the film, he reflects on how his fight is intertwined with that of the next generation.
“It’s a constant reminder why we struggle and why we do what we do,” he says, while playing with his son. “One day when we’re no longer here and he’ll be here, and maybe his children, they’ll have a better life than what we had and what our parents had — so we’re fighting for the next seven generations, and he’s next up.”
This project was supported by the Economic Hardship Reporting Project with funding made possible by The Puffin Foundation.
At a Glance In this report, the Congressional Budget Office analyzes the recent availability, use, and operating and support costs of stealthy F-35 fighter aircraft. Programwide operating and support costs exceeded $5 billion in 2023.
The image in question was provided by a third-party vendor and was removed immediately upon discovery. We have stringent standards for all listings on our platform. We are conducting a thorough investigation, strengthening our monitoring processes, and will take appropriate action against the vendor in line with our policies.
The image in question was provided by a third-party vendor and was removed immediately upon discovery. We have stringent standards for all listings on our platform. We are conducting a thorough investigation, strengthening our monitoring processes, and will take appropriate action against the vendor in line with our policies.
A product listing for a shirt, sold by the fast-fashion retailer and modeled by a person who bears a striking resemblance to Mangione, has taken off online.
Mac
in reply to silence7 • • •Whats the big deal