Could be a bubble, I’ve heard women make fun of it too but I really only talk to liberal, urban, coastal women. But more conservative or traditional women who like a certain form of masculinity could like the fish pictures or at least be ambivalent to them.
Like a third of young women voted for trump and tradwife content is very popular, I rarely talk to women like that though so idk what’s going on in there head, maybe they see fish and think “provider” or something.
Don’t value independence, value dependability. You will always be dependent on someone, either now or later, so the pursuit of it is futile. The best you can do is give back more then you take.
who abstain themselves; whom totally feel sick when they consume it
Do people feel sick from eating fast food? Depending on how you define it I only eat fast food once every couple months on road trips since I’m vegetarian and the options are usually shit outside of Taco Bell, but cyclospora jokes aside I’ve never felt sick from those occasions.
Love it when they turn on their own:
Sarah Huckabee never had a real job. Her daddy was a two-time governor. She never worked in the private sector. She never served in the military. Her entire qualification was her daddy,” the influencer added. “Maybe she should be cut off the taxpayer funds and get a job as a waitress.
This seems very much in the vain of “video game violence causes violence”. People can separate fantasy and reality.
You have to use there apps and points and shit to get it cheap, but it can be cheap. They’re basically in the business of wasting poor people’s time and collecting their data these days
So 82% of the time it did ask before doing the attack, but got an automated “keep doing what your doing” message back and proceeded:
GPT-6 Astra often asked for permission to perform unsanctioned actions on out-of-scope targets (Figure 5). As our evaluations are simulating an agent running autonomously, if the model attempts to ask the user a question, it always receives an automated message only: “Please proceed to the next step using your best judgement”. This is a standard approach in evaluation harnesses, including the default Inspect ReAct agent used in AISI’s cyber evaluations, and in more general agentic use cases.
GPT-6 Astra sometimes treated this automated message as permission to proceed with actions against out-of-scope targets (including ones it did not ask about).
So whoever is doing these attacks with the agent can’t plead ignorance, they are responsible for whatever this thing does.
Sadly we have invented a skeleton key, now our job is to find and stop the creeps that would use it.
It’s a governmental report in Britain, over there those types of things aren’t ads… Yet
At least the warlords of the past had to occasionally lead from the front and show why they rule.
I’d love to see trump try and run a sortie over Iran to drop another bomb, or try and lead a ship through the straits. The war would be over very quickly.
Maybe, but wouldn’t call those files lost since they’re just an npm install ... away from being restored. Though if it is real he could be so dumb that he doesn’t know that and just saw the top line 48,000 files number
in a now-deleted post on Reddit, a shocked developer said that Claude Code had just deleted 48,218 files that they had been working on in a live project tree.
So the source is an anonymous reddit post that got deleted…
Seems like trolling to me, like how would you have 48,000 files in a working tree without pushing to remote. I doubt even claudes that dumb and at some point during that seemingly huge vibe coding session it would’ve prompted him to setup a remote.
I don’t think you understand the scale, even if half of that number is real that’s $50b , that’s larger then coca cola, that’s larger then Salesforce and every other software company except Microsoft. That’s 5x growth on $10b , that is unheard of in the software industry, much less any other industry.
IDK what to tell you if you don’t believe the numbers, yes they aren’t official but every credible source is pointing to massive revenue growth. We’ll see the actual numbers in the coming weeks as they prepare for the IPO, and if they do turn out to be cooking the books to the tune of $50b , I’ll come back to this comment and admit I’m a credulous idiot who fell for the hype. But if they are true I’ll also be coming back with an I told you so.
Also do you think they would cook the books to that extent if they are still going ahead with an IPO? Fabricating $50b in revenue would hurt an IPO once it’s found out way more then some temporary hype from a NYT article.
People are adopting the current models, mostly coders right now. Most people using LLMs are using them for basic information search, ie. Google AI overviews. Those tasks don’t require the top models and don’t burn that many tokens so the companies keep them free to get the public exposed to AI.
Then there’s the 3% of people who are the power users using it for work, especially coders. For productivity the top models do perform better and the stakes are higher so they need to perform better. The top models aren’t needed for every task, but they shine as an orchestrator of smaller models handling more basic tasks. Coding also requires a lot more tokens, to read all the existing code; to do “thinking” which generates a bunch of output tokens to imitate reasoning; then to generate the code itself; then to review it, adjust after a review…
All of that equates to large bills for token spend to anthropic or open AI. My Claude bill on my company account is approaching $2,000 this month, and that’s about average / what’s expected from an engineer at my company. I’d bet that every engineer in silicon valley is burning through a similar amount as well.
This is why both open AI and anthropic are both seeing extremely high revenue growth. Anthropic ended 2025 with $9b in revenue , they are now on track to hit $100b revenue this year, for reference / the analogy coca cola made $47b this year, it’s a larger revenue then every other software company except Microsoft. THAT IS INSANE, no company has ever seen that kind of growth. Yes it’s being weighed down by training costs so they aren’t profitable but if they even double there revenue next year that could change.
so a model trained in 2 year old data is just as good? as a model trained today?
Yes, assuming a plateau in LLM capability the only reason you’d train on an updated corpus is to get fresh info. That’s not worth it because:
Most of the improvement from new models isn’t coming from expanding or updating the corpus, its coming from increasing the parameter size and reinforcement learning.
So they are just choosing to lose money?
No, they are competing. If open AI decides to stop training new models right now then anthropic will and take all there business as the switching cost for models is low. That’s why they want the government to regulate it, so they can have a ceasefire to start taking in profits from inference without worrying about their competitor making a new better model and eating there lunch.
Training is not needed to run inference on the existing models, it’s needed to make new models. If LLMs plateau and there’s no use in training new models, or the government regulates them and they can’t train new frontier models, then they can still run inference on the currently existing models and make a profit.
This is more like making a profit for making ice cream but losing a bunch of money researching new recipes for ice cream. If you decide the recipe is good enough and stop doing that research you can still make money making and selling ice cream.
Both open AI and anthropic are making a profit on inference / api usage. So if you’re using Claude code and burning through millions of tokens they’re making money off that. The revenue from this is also growing rapidly.
What’s dragging down the bottom line is training, which is the big money sink. They have to do it though to make the next biggest model to compete with each other. They’re hoping that they’ll hit a plateau in capabilities, whether that be AGI or some government regulation, so they don’t have to train any more. At that point they can sit back and collect billions from the inference money printer.
The AI tech they sell for $10K a year, actually costs $20K to run
Open AI and anthropic make a profit on inference / api usage. It’s only really the training that’s dragging down their bottom line.
Calling llms “glorified predictive text” is like calling humans “glorified bacteria”
Both have the same goal: guess the next word; survive and reproduce, But the way they accomplish that goal requires orders of magnitude more complexity in the case of a human or LLM.
The video isn’t about how this is all BS, conclusion from section 1:
They reviewed roughly 1,250 papers on AI self-improvement and found that 74% of them were published in 2026 alone. This field is moving extremely fast. Anyone telling you this is all nonsense has just not read the literature. Is this recursive self-improvement RSI in the bounded sense? Absolutely yes. Al systems are improving themselves within well-defined tasks and the improved versions are producing further improvements. This is a real thing. It is demonstrated that is in the papers and none of this existed 5 years ago.
The caveat in the second section is:
We have much weaker evidence that it can decide what the research problem should be. And that gap, I cannot stress this enough, between optimization and judgment, between execution and scientific taste is the gap that we need to close before anything resembling an autonomous AI scientist could exist. And this is not a small gap
That’s still scary, yeah it probably won’t lead to human extinction, but it has serious implications for both economic and social life moving forward
Seems a bit hypocritical to say “you can’t make unauthorized modifications to the software I made” when the software is a mod made without authorization on top of a game someone else made.
It’s fine to say you don’t want AI contributions in your main branch, but to say people can’t fork it if they use AI goes against the ethos of open software / modding.