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/

Just use revanced - it has a whole bunch of patches which specifically disables reels etc, in addition to blocking ads.

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

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.

IIRC there were some polls for how helpful LLMs were by language/professions, and data science languages/workflows consistently rated LLMs very highly. Which makes sense, because the main steps of 1) data cleaning, 2) estimation and 3) presenting results all have lots of boilerplate.

Data cleaning really just revolves around a few core functions such as filter, select, and join; joins in particular can get very complicated to keep track of for big data.

For estimation, the more complicated models all require lots of hyperparameters, all of which need to be set up (instantiated if you use an OOP implementation like Python) and looped over some validation set. Even with dedicated high level libraries like scikit, there is still a lot of boilerplate.

Presentation usually consists of visualisation and cleaning up results for tables. Professional visualisations require titles, axis labels, reformatted axis labels etc, which is 4-5 lines of boilerplate minimum. Tables are usually catted out to HTML or LaTeX, both of which are notorious for boilerplate. This isn’t even getting into fancier frontends/dashboards, which is its own can of worms.

The fact that these steps tend to be quite bespoke for every dataset also means that they couldn’t be easily automated by existing autocomplete, e.g. formatting SYS_BP to “Systolic Blood Pressure (mmHg)” for the graphs/tables.

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

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

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

Nope, this is exactly how surveillance capitalism works

I never thought tablet computers would become popular among the mainstream public.

When the iPad first came out, it was functionally worse than even the cheap netbooks, and I didn’t see much purpose in the larger screen with phones getting bigger and bigger every year. Wireless display was also already available, so I envisioned people would just cast content to a TV if they really wanted a bigger screen. Even reading articles etc seemed to be already covered by eReaders, which were already available for half a decade by the time the iPad released.

Little did I know how brain rotted people would become.

Tbh I personally still don’t see the utility in most tablets, except in specific niches like in digital note taking/drawing, or industrial cases where it becomes a glorified HUD.

Already existed for half a decade.

Google Coral is probably the most famous and is mainly suited for small IoT devices, e.g. speeding up image recognition for security cameras. They come in all shapes and sizes though.

M.2 Accelerator A+E key | Coral - https://www.coral.ai/products/m2-accelerator-ae

Ubisoft asked the Rayman team (who have produced some of the best platformers) to develop Prince of Persia The Lost Crown, regarded as the best metroidvania of 2024.

It failed to meet sales expectations, so they disbanded the teams and cancelled the sequel.

Turns out gamers™️ do vote with their wallets, and they vote for churned out sequels.

Gameboy

Gameboy Pocket

Gameboy Light

Super Gameboy

Gameboy Colour

Gameboy Advance

Gameboy Advance SP

Gameboy Advance SP Backlit

Gameboy Player

Gameboy Micro

Damn we really got Grok transvestigating JD Vance/Erika Kirk

You can buy an eSim adapter online for ~$15 off sites such as AliExpress.

Such adapters are open source, and can support up to holding and swapping between 20 eSim cards, which makes phones with physical sim cards strictly dominate those without them.

I will not stand for this CUPS/IPP (internet printing protocol) erasure!

Most recent printers have supported internet printing protocol for years, which is web based and explicitly does not require printers. This is what CUPS has also moved towards.

macOS and Linux have had built in support for CUPS drivers/printers for decades, so it’s really just a Windows problem, who insist on their own Microsoft print servers.

Nope, Apple is way more anal than that.

You need to have an iCloud account registered in the EU/Japan, AND be physically located in EU/Japan.

Changing the iCloud account region requires you to contact Apple, surrendering all of your current account balance, and providing them with an EU/Japan billing method + address. Users have also reported mixed results with VPNs in getting around the physical location requirement.

About alternative app distribution - Apple Support - https://support.apple.com/en-us/118110

They have and they’ve explicitly said it’s not solved lmao

A 1% attack success rate—while a significant improvement—still represents meaningful risk. No browser agent is immune to prompt injection, and we share these findings to demonstrate progress, not to claim the problem is solved

Mitigating the risk of prompt injections in browser use \ Anthropic - https://www.anthropic.com/research/prompt-injection-defenses