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I assume that the image would at least fit in L3.


I don't think this is likely to impact development much, they can rent office space elsewhere if needed.


This is the same company that claims the exact hours of crunch is a "company secret" that would expose their development process and features of the game, so I don't think it's far off they'd use something like this to push another delay.


https://nohatcoder.dk/

I don't post often, but I think what is there is quite worthwhile. It is whatever I want to write, but topics are typically maths, game theory and cryptography. There are also a few browser games.

The site itself might also be of note to some people as an example of an extremely light hand crafted website.


Yeah, and I doubt that this is the last price hike. But I don't think this actually has a whole lot to do with ram prices. The thing is, AI cloud providers have generally been running at a massive loss, if you do the napkin maths, the procurement cost of these machines is equivalent to approximately a year of rent at these rates, for normal servers at AWS it is approximately a month.


So let us compare AI to aviation. Globally aviation accounts for approximately 830 million tons of CO₂ emission per year [1]. If you power your data centre with quality gas power plants you will emit 450g of CO₂ per kWh electricity consumed [2], that is 3.9 million tons per year for a GW data centre. So depending on power mix it will take somewhere around 200 GW of data centres for AI to "catch up" to aviation. I have a hard time finding any numbers on current consumption, but if you believe what the AI folks are saying we will get there soon enough [3].

As for what your individual prompts contribute, it is impossible to get good numbers, and it will obviously vary wildly between types of prompts, choice of model and number of prompts. But I am fairly certain that someone whose job is prompting all day will generally spend several plane trips worth of CO₂.

Now, if this new tool allowed us to do amazing new things, there might be a reasonable argument that it is worth some CO₂. But when you are a programmer and management demands AI use so that you end up doing a worse job, while having worse job satisfaction, and spending extra resources, it is just a Kinder egg of bad.

[1] https://ourworldindata.org/grapher/annual-co-emissions-from-... [2] https://en.wikipedia.org/wiki/Gas-fired_power_plant [3] https://www.datacenterdynamics.com/en/news/anthropic-us-ai-n...


> But I am fairly certain that someone whose job is prompting all day will generally spend several plane trips worth of CO₂.

I dont know about gigawatts needed for future training, but this sentence about comparing prompts with plane trips looks wrong. Even making a prompt every second for 24h amounts only for 2.6 kg CO2 on some average Google LLM evaluated here [1]. Meanwhile typical flight emissions are 250 kg per passenger per hour [2]. So it must be parallelization to 100 or so agents prompting once a second to match this, which is quite a serious scale.

[1] https://cloud.google.com/blog/products/infrastructure/measur...

[2] https://www.carbonindependent.org/22.html


Lots of things to consider here, but mostly that is not the kind of prompt you would use for coding. Serious vibe coders will ingest an entire codebase into the model, and then use some system that automates iterating.

Basic "ask a question" prompts indeed probably do not cost all that much, but they are also not particularly relevant in any heavy professional use.


That it is reported that the global AI footprint is already at 8% of aviation footprint [1] is indeed rather alarming and surprising.

Research on this (is it mainly due to training? inefficient implementations? vibe coders as you say? other industrial applivations? can we verify this by the number of gpus made or money spent? etc) is truly necessary and the top companies must not be allowed to be not transparent about this.

[1] https://www.theguardian.com/technology/2025/dec/18/2025-ai-b...


The nature of these AIs is generally such that you can always throw more computation at the problem. Bigger models is obvious, but as I hinted earlier a lot of the current research goes more towards making various subqueries than making the models even bigger. In any case, for now the predominant factor determining how much compute a given prompt costs is how much compute someone decided to spend. So obviously if you pay for the "good" models there will be a lot more compute behind it than if you prompt a free model.


> Serious vibe coders will ingest an entire codebase into the model, and then use some system that automates iterating.

People who do that are <0.1% of those who use GenAI when coding. It doesn't create anything usable in production. "Ingesting an entire codebase" isn't even possible when going beyond absolute toy size, and even when it is, the context pollution generally worsens results on top of making the calls very slow and expensive.

If you're going talk about those people you should be comparing them with private jet trips (which of course are many orders of magnitude worse than even those "vibe coders")


When they stopped measuring compute in TFLOPS (or any deterministic compute metric) and started using Gigawatts instead, you know we're heading in the wrong direction.

https://nvidianews.nvidia.com/news/openai-and-nvidia-announc...


> But I am fairly certain that someone whose job is prompting all day will generally spend several plane trips worth of CO₂.

I'm fairly certain that your math on this is orders of magnitude off unless you define "prompting all day" in a very non-standard way yet aren't doing so for plane trips, and that 99% of people who "prompt all day" don't even amount to 0.1 plane trip per year.


TL;DR:

Defendants Roy and Rianne Schestowitz were the targets of online harassment. They decided that claimant Matthew Garrett was behind it, and initiated their own hate campaign against him, in particular using their websites www.techrights.org and news.tuxmachines.org to do so.

The defendants did a very poor job of going to court, even by the standards of amateurs representing themselves, producing almost no evidence, none of which the judge found to be relevant.

Damages of £70K were awarded.


Wrong, plenty crap make it into the store, that is true for both Android and iOS. And the advertisement in the Android store is designed specifically to try to trick you into installing a different but similar app to the one you wanted.


AWS certainly also does daylight robbery. In the AWS model the normal virtual servers are overpriced, but not super overpriced.

Where they get you is all the ancillary shit, you buy some database/backup/storage/managed service/whatever, and it is priced in dollars per boogaloo, you also have to pay water tax on top, and of course if you use more than the provisioned amount of hafnias the excess ones cost 10x as much.

Most customers have no idea how little compute they are actually buying with those services.


On the contrary, I think you will find that most people simply cannot comprehend the idea that Netanyahu/Israel would aid Hamas, they will think you are a conspiracy nut for stating the plain facts.


While it is good to see some Bayesian statistics in use, I wouldn't in this case put so much emphasis on an exact calculated probability that he did or din not cheat, the prior in this case is simply too wishy-washy for that.

The sound conclusion is that this is not evidence of cheating, but it is not evidence of the contrary either.


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