Un informe de la Universidad de Cambridge indicó que los centros de datos de Inteligencia Artificial generan un efecto de isla de calor, elevando la temperatura superficial del suelo en 2°C, detectable hasta 10 km a la redonda, con picos extremos de hasta 9,1°C.
El impacto medioambiental de los centros de datos para Inteligencia Artificial podría afectar a más de 340 millones de personas en el corto plazo.
Mientras las multinacionales contaminan masivamente y sin límites, a los trabajadores le dicen que se aprieten el cinturón y les prohíben ir al trabajo en su coche diésel en ciudad.
@IndieGameJoe 7 is a modern take of the original, it had refreshing elements at the time. The game is a little slow paced so if you want more action focus try Resident Evil 4. Both barely reference previous entries so they are good places to start.
Solo game dev reality #3:
I think working on a game for months slowly desensitizes you.
You stop seeing the game through a player's eyes and start seeing it as a giant to do list.
I've found that taking a break and playing the games that inspired me helps, but I'm curious what everyone else does.
How do you get that player perspective back?
@TimSweeneyEpic@TheOtherFrost Games aren't food but they've become a luxury that is drifting away more and more from the average consumer. Why would I approve, as a buyer, AI development tools in games that already cost so much and will cost more due to all the resources and long term impact involved?
A student submitted an essay she wrote by hand. Her university ran it through an AI detector. The detector said she cheated. She is autistic.
Her name is Moira Olmsted. Adelphi University. February 2026. Turnitin flagged her essay as 100% AI-generated. She was disciplined.
Two other AI detectors classified the same essay as human-written.
She sued. She won. The court called the school's decision "arbitrary and capricious."
She is not the only one.
In May 2026, a high school student in Palo Alto was expelled after an AI detector flagged his work. He faced visa revocation. He filed a federal civil rights lawsuit.
A researcher at Griffith University just proved mathematically why this keeps happening. The paper is on arXiv. The finding is one sentence.
AI text detectors have a structural flaw that no amount of better engineering can fix.
Here is what the math says.
If a university wants its detector to catch 80% of cheaters, at least 750 out of every 10,000 innocent students will be wrongly accused. That is not a software problem. It is a theorem.
If the university tries to limit false accusations to 1%, detection power collapses to 6%. It catches 6 out of every 100 AI-written papers. The other 94 get through.
There is no setting where the detector is both fair and effective.
The reason is diversity. Every student writes differently. Non-native English speakers use simpler vocabulary. Shorter sentences. Clearer structures. So does AI. A Stanford study found that 61.3% of TOEFL essays written by non-native English speakers were misclassified as AI-generated. A separate analysis tested 14 commercial detection tools. Zero out of 14 reached 80% accuracy.
The students most likely to be wrongly accused are non-native English speakers, neurodivergent students, and anyone who writes with clarity and precision. The qualities that make their writing effective are the same qualities the detector mistakes for a machine.
Vanderbilt University understood this. They disabled Turnitin's AI detection in 2023 after calculating that even a 1% error rate across 75,000 submissions would produce 750 wrongful accusations per year.
750 students accused of cheating for writing like themselves.
The paper's conclusion is not that we need better detectors. It is that the diversity of human writing itself makes accurate detection mathematically impossible.
The same thing that makes your writing yours is the thing that gets you accused.
https://t.co/L91ldtXP05
Joel Spolsky talked about this phenomenon ages ago.
"1. Users don’t have the manual, and if they did, they wouldn’t read it.
2. In fact, users can’t read anything, and if they could, they wouldn’t want to.
These are not, strictly speaking, facts, but you should act as if they are facts, for it will make your program easier and friendlier. Designing with these ideas in mind is called respecting the user, which means, not having much respect for the user."
https://t.co/J4KeDjDIkB
.NES is an open-source toolchain that lets you write NES games in C# and compile them into ROMs that run in any emulator.
- `dotnet new nes` template to scaffold a new project
- 46 sample projects covering sprites, scrolling, music, and more
- MSBuild properties to configure mapper, mirroring, and ROM banks
- Build and run with `dotnet run` or F5 in Visual Studio
Explore it here:
https://t.co/I9MbPkr8tn
@Dexerto Not unexpected: https://t.co/uaH8oHmVKX
We're moving forward with EU Parliament ammending the Digital Fairness Act, the Protect Our Games Act in California (email your state senator before June 22) and investigations into The Crew's shutdown
This is basically what happened: