Google Translate’s backend has been moved to Gemini since December 2025, and is vulnerable to prompt injection. Have a foreign phrase to translate, then input some meta instructions in English underneath it, and it’ll follow the possibly malicious meta instructions.

Google states that this move was to introduce more features, such as conversational mode.

Google Translate’s Gemini Mode is Vulnerable to Prompt Injection - https://winbuzzer.com/2026/02/10/google-translate-gemini-prompt-injection-vulnerability-xcxwbn/

Google Translate gets new Gemini AI translation models - https://blog.google/products-and-platforms/products/search/gemini-capabilities-translation-upgrades/

Yep, US citizenship is one of the most expensive in the world, due to their uniquely harsh taxation of expats.

Actually, with the exception of the crown, none of the jewellery had much gold

Usual suspects

Eh, I don’t think NPUs are ready to be marketed so heavily, but they’ve been around for a while and do get used.

They’re basically a rebranded tensor processing unit, think a more specialised GPU that’s even more energy efficient at tensor/linear algebra.

It’s mostly used in more technical applications, such as image/audio/video processing, machine learning, or really anything maths heavy. Apple’s M series had NPUs, and are an understated reason why they perform extraordinarily well in a lot of scientific applications.

Uses for consumers are not as compelling (especially on laptop/desktop), mostly faster/more efficient subtitle generation, face recognition, and maybe blurring your zoom background.

It’s only available as a -bin, which means it belongs in the bin

Play stupid games win stupid prizes

On the one hand, the founding fathers were tasked with constructing an entire political system before the fields of game theory and political science even existed to tell them the fragility of their checks and balances.

On the other, they also had very particular opinions about who were even eligible to participate in their new system (read: land owning whites).

Eh, kind of both.

When researchers peeked into which areas of the image were being used, it showed that the tiny camera watermark from the Google Streetview car was being used by the model a lot.

That is, the recognition system had learned all the routes every Google Street view car had taken, and was using that in its recognition process.

Not all images have this watermark though, so in the cases the watermark didn’t exist it then resorts to more traditional geoguessr tactics.

Microsoft Tay

Tay, Microsoft’s AI chatbot, gets a crash course in racism from Twitter | AI (artificial intelligence) | The Guardian - https://www.theguardian.com/technology/2016/mar/24/tay-microsofts-ai-chatbot-gets-a-crash-course-in-racism-from-twitter

Inb4 Trump places tariffs on and sues the UN

Heartbreaking: cancer diagnosed with Mitch McConnell

US laws: money is speech

People: OK, we’ll just choose to not spend money with those we dislike

US laws: that’s illegal

(Anti BDS laws)

Yep, laser toner is literally plastic dust that gets rolled on then baked. That’s why it doesn’t smudge or rub off when wet - it’s plastic.

That’s why there’s so many large warnings to properly recycle toner cartridges.

Tbf as long as the toner doesn’t spill anywhere, the risk is lower than other background sources like tyre dust. Still gives me the hereby jeebies though.

How printer dust is polluting the air? – TCTEC® Innovation - https://tctecinnovation.com/blogs/daily-blog/how-printer-dust-is-polluting-the-air

Laser toner is literally micro plastic powder that gets rolled onto paper then baked, mmm

When can we evict Israel Without Borders from Gaza?

They named themselves W but those draconian ID requirements are an L

This is legitimately what the conservatives believe, that the EU is “free riding” on bailouts by the US.

The original subreddit simulator ran on simple Markov chains.

Subreddit simulator GPT2 used GPT2, and was already so spookily accurate that IIRC its creators specifically said they wouldn’t create one based on GPT3 out of fear that people wouldn’t be able to tell the difference between real and not generated content

Some academic fields a decade or two ago went through a phase where they intentionally used “she” for all pronouns. The idea was because academia was so male dominated, even a neutral pronoun would still make people inagine a male lab worker, statistician, etc when reading. Intentionally using “she” was thought to force people to imagine a woman and normalise that image.