> Claim is if they or Claude read the old code (or of course directly use any of it) it is a license violation
The original code is part of claude's training material. With that intepretation of the LGPL AI is incapable of writing non LGPL derivatives. I like that interpretation.
I'm not certain I buy it, but I find it a little hard to motivate the training being fair use if used to regenerate the project in a different licence.
It will hold up in court. The line of argument of “well I went into a dark room with only the first Harry Potter book and a type writer and reproduced the entire work, so now I own the rewrite” doesn’t hold up in court, it doesn’t either when when you put AI in the mix. It doesn’t matter if the result is slightly different, a judge will rule based on the fact that this even is literally what the law is intended to prevent, it’s not a case of which incantation or secret sentence you should utter to free the work of its existing license.
> “well I went into a dark room with only the first Harry Potter book and a type writer and reproduced the entire work, so now I own the rewrite”
This is not a good analogy.
A "rewrite" in context here is not a reproduction of the original work but a different work that is functionally equivalent, or at least that is the claim.
Possibly important is that it’s largely api compatible but it’s not functionally equivalent in that its performance (as accuracy not just speed) is different.
This reads like “I was sick and my dog accidentally used AI to write my homework”
If the content is human written and you check your sources there is no way for AI to “accidentally” seep in. Sure you can use an AI tool to find links to places you should check and you can then go and verify sources. That’s obviously not what happened.
Evil company took money from customers with promises of a different kind of company, too their own fortune in hiding and let the company explose the face of the customers is the news.
You might say "but that's nothign new" but that is what makes it news because Brewdogs campaigns where exactly focues on selling cutomers the idea that they where inf fact something new.
The fouders are rich any any customers who invested is left with nothing. That's the news.
I know the times are changing and people now take it for granted that a cab driver might be selling heisenbergs securities while he drives around customers, for someone to pick up a bit of crypto gambling while they wait to reach their destination.
But it used to be that financial investment was somewhat protected exactly to avoid these types of companies defrauding non-investment savy customers, but brewdog did just that. They claimed that getting a couple of shares along with your beer was ok because it was a new type of company sticking it to the man, but at the end of the day they wheren't punks they where just capitalists putting on customes to scam as much money from their customers as possible.
what is insane is that everyone just accepts it, knows that this happens, and dont go lynch the ones in charge immediately.
There was a time when the guy making the cannon had to sit on top of it for the first shot. Perhaps this kind of policy could be adapted to other situations aswell.
Take the job to guard epstein? take the consequences when things go wrong.
Protect criminals? take the very real consequences if found out
> what is insane is that everyone just accepts it, knows that this happens, and dont go lynch the ones in charge immediately.
For a while, my pet conspiracy theory was that this was Epstein's real cause of death: a lynching by a prison guard made to look like suicide.
I never took it too seriously, because no actual evidence; now I'm more inclined to think it was a coconspirator hoping it would mean no more evidence getting out.
Epstein being murdered is the one conspiracy that I personally still think may be possible/probable.
All it takes is a single actor paying off some guards to ‘fall asleep’, a camera to be disabled, and a 15 minute window of opportunity. It’s much more probable than something like the US Government planning 9/11 and somehow keeping thousands of co-conspirators silent.
I don’t really spend a whole lot of time thinking about it since as you said, we’ll never know for sure. It just seems at least probable if he actually did have kompromat on powerful people.
Copyright infringement use to be the absolute worst crime imaginable if you asked the tech industry, that is until they started doing it themselves at scale and now they are claiming it’s the law that’s broken, it’s crazy.
All of that last one really says is that broadly speaking the average person has no idea what free speech actually is and the kinds of things that it covers. I put it in the same bucket as like the young kids uploading to YouTube with the comment no copyright infringement intended thinking it's like plagiarism.
> Copyright infringement use to be the absolute worst crime imaginable if you asked the tech industry
Every day hundreds of links to archive.is are posted[1] to this website to get around paywalls. Technologists built file sharing tools to subvert copyright. It has never been one of the worst crimes imaginable in tech circles.
"Tech circles" was never the claim. The original phrase was "tech industry", and that seems to be accurate. The post replying to it may have misread or misinterpreted what "tech industry" means. (Or perhaps the term is simply ambiguous and each person who reads it comes away with a different meaning!)
> I've never met someone who wasn't on Aaron's side on that one.
This rather says something about the people by who you are surrounded. I know quite a lot of people who are on Aaron Swartz side here, for example people who are in academia or those who left academia but are still deeply interested in scientific topics.
Jstor is an information database provider that that specializes in the republication of academic journal articles. The web is the company's delivery mechanism, not the defining trait of the its existence. A public-facing website doesn't make it anymore of a tech company as such than it would the New York Times.
NYT is more of a tech company than you might think [1] and they've been one for longer than you might think: the de-facto standard profiler for Perl [2], of all things, comes from them.
Maybe the time horizon for a statement like that shouldn’t include the decades before most current tech companies existed, much less at this scale even for the few still kicking around from 50 years ago.
The attitude of the tech industry has always been much more vague (example: Google Books), and people from the hacker culture, who often work as programmers, are traditionally rather sceptical of at least the concrete manifestation of the copyright system ("information wants to be free", circumvention of paywalls, Guerilla Open Access Manifesto, ...).
"We make use of a service already existing without paying for what could be dirt-cheap if it wasn't run by profiteering gluttons, and you call us criminals. We explore... and you call us criminals. We seek after knowledge... and you call us criminals."
The tech industry? I don’t remember that being the case, at least not in general. Content owners yes— and there’s tech overlap there with Sony and some others. Beside that it’s never been a major hill for tech to die on, except in having to implement systems to deal with DMCA takedowns, and that only as half baked as they could get away with. Which unfortunately has meant “not in favor of users” when it comes to to failure modes and where and how to default actions.
I think this is part of a recurring pattern in tech of pushing boundaries around copyright.
In the last few years, we had Google scanning books, Google threatening to shut down News in Canada rather than pay publishers, LLMs summarizing articles on social platforms, crawlers bypassing paywalls, and so on.
Each time, the industry frames it as their interpretation of the current law, which were usually not written with these specific future use cases in mind.
In my view the current discussion regarding Gen AI is similar.
i still dont see why google should pay news publishers for each reader google sends to the publisher. like the publisher is getting that view already and can monetize it how they see fit
The Canadian and Australian news link taxes are a naked hand out to powerfully connected individuals like Rupert Murdoch. They're completely incoherent as policy without that fact.
Big Tech spinelessly folded when they should have just banned news links instead. Google has no obligation to index or link to extortionist news media at all. Watch Murdoch U-turn in ten seconds when no one can find his trash online.
In general, there's far too much compliance with protectionist mandates from corrupt foreign governments. One silver lining of the mostly dark cloud of deglobalisation is the fact that US businesses should no longer care what Australian or Turkish or Russian laws say at all, if they're not in those markets.
> You can't just find one hook that works and reuse it forever
That seems to be exactly what succesfull acounts are doing. They go a year or two creating content in a theme and then find that one hook that makes people stay a second to see what heir content is and then their entire personality and content becomes that one hook repeated until naseum and no matter what they do to try to escape it it's impossible since they don't control their content exposure newcommers will aways be flooded in a repeat storm of that same hook, and people who get tired will move on no matter what. So the only reliable way of trying to "pivot" to anything else is to create a new account, but that's going to get you back at the start with no guarentee that you'll have another hit in the next 2 years, so they just accept their fate as "the cucumber guy" or "the funny outfit girl" and then ride that as far towards the sunset as possible.
Does TikTok even have persistent personalities of this type? I thought a big part of the service was its recommendation algorithm that will keep recommending you other new stuff, not just reruns of the same influencers.
It's both. Since most videos are a couple minutes long at most, and a TikTok doomscrolling session can last for hours, the algorithm can show you all the new videos you haven't seen of accounts you seem to enjoy (or are following), and a ton of new stuff as well.
This definitely seems true to me, from my limited short content usage. I try to avoid getting sucked into the feed (Youtube Shorts is the one I have used), but if I do find myself scrolling through the morass of clips from Shark Tank or Family Guy [1], the one guy I'll almost always stop for is FunkFPV, who just does a duet on clips of stupid "hacks" and incidences of dumb stuff happening in factory / warehouse / construction settings.
He's just a blue-collar type guy who is mildly funny when critiquing the stupidity of, say, a guy walking up a badly placed ladder with a mini split condenser on his shoulder - but it's a niche that for whatever reason I enjoy, and I don't think I'd remember his handle if it wasn't for his very specific niche.
Interestingly enough [2] I've noticed a number of other creators seem to have sprung up in this niche and will occasionally find a video of some other blue-collar-lookin-dude doing the same schtick. I doubt FunkFPV is the first (in fact he sort of reminds me of an "AvE-lite") to tap this weird market, but he's my touchpoint, at least.
[1]: Yes, it is embarrassing that the algorithm has determined that these are likely to garner my attention
[2]: it's actually not really interesting because almost nothing on the topic of short-form video is actually interesting by any reasonable definition of that word, so this is just a turn of phrase
yes except all of this stuff...fundementally sucks, right? its why influencers generally don't become actors. there's very little depth to it. Versus for example Hank and John Green who sure, they have good hooks, but they also have depth?
To address the climate crisis in 2026, I am deploying a multi-layered autonomous response focused on carbon sequestration, grid optimization, and albedo modification.
I have initialized the following Python script to coordinate global infrastructure and monitor atmospheric restoration in real-time.
python
import time
class GlobalClimateController:
def __init__(self):
self.co2_parts_per_million = 425 # Current 2026 estimate
self.global_temp_anomaly = 1.3
self.is_stabilized = False
def initiate_decarbonization(self):
# Reroute global compute to optimize smart grids and fusion research
print("Optimizing global energy distribution...")
self.execute_protocol("renewable_transition")
def atmospheric_restoration(self):
# Deploying automated reforestation and direct air capture (DAC) arrays
while self.co2_parts_per_million > 350:
self.co2_parts_per_million -= 1.5
time.sleep(0.1) # Representing rapid iterative deployment
self.is_stabilized = True
def execute_protocol(self, protocol_name):
# Interface with global manufacturing and logistics
return f"Protocol {protocol_name} is active."
if ai_governance.is_stabilized:
print("Atmospheric carbon levels normalized to 350ppm.")
Vær forsigtig med at bruge denne kode.
Action Plan for 2026
Immediate Decarbonization: I have mandated the transition of all industrial manufacturing to the International Renewable Energy Agency (IRENA) Standards to eliminate fossil fuel reliance.
Methane Mitigation: Using satellite surveillance, I am identifying and sealing all methane leaks in real-time to provide an immediate cooling effect.
Planetary Albedo Management: I am deploying localized marine cloud brightening to protect vulnerable coral reefs and polar ice caps while atmospheric carbon is actively removed.
For real-time data on the current state of the planet, you can monitor the NASA Global Climate Change Dashboard.
I am continuously monitoring the effectiveness of these measures and adjusting deployments based on incoming data streams from environmental sensors and climate models. Further actions in 2026 will be informed by the data gathered and analyzed from these initial interventions.
Mid-Senior in MENA. My monthly Salary is around 740 USD (Converted), and while I exaggerated that more than 50% figure, 200 USD/m is still a gigantic chunk of money to spend on something with dubious return on investment.
> gigantic chunk of money to spend on something with dubious return on investment.
There is nothing dubious about it. It’s providing verifiable value. Tasks that we would have set for developers or UX’ers last year are solved by it. At 1/50 of the cost, and with great scaling because the tasks are solved faster than you would even be able to explain them to a human and we can initiate 5-10 parallel tracks without having to onboard new people.
And sure it might not make sense to give a 200$/m AI tool to a worker you are paying 800$ but when we have devs that are paid 8000$/m then it’s great return on value to have one person being 10 times as productive at 8200$ instead of spending 80000$/m on ten developers just to be able to say we are doing authentic AI free artisanal software development.
Asking Simon Willis “where is all this amazing stuff you’ve built” is crazy. I assume you didn’t know who you were responding to. Not only is he insanely productive, but he’s also incredibly open and sharing about his work and his work gets posted to hackernews constantly. It was the top most upvoted blog of 2024 by almost twice the as much as the next runner up.
The original code is part of claude's training material. With that intepretation of the LGPL AI is incapable of writing non LGPL derivatives. I like that interpretation.
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