Google is pivoting to telling publishers that its websites are not high quality enough, and that they need to subscribe to their AI services in order for generate user-tailored websites for customer retention.

Google Just Patented The End Of Your Website - https://www.forbes.com/sites/joetoscano1/2026/03/06/google-just-patented-the-end-of-your-website/

Those app deals are customised per customer as well. Basically a gacha but for McDonald’s.

100k/year in San Francisco is definitely low income.

Official government figures using an exemplary family of four (two adults two children) already classified a household income of $117,400 as low income back in 2018. By 2025, that threshold has risen to $159,000.

San Francisco: Where a six-figure salary is ‘low income’ - https://www.bbc.com/news/world-us-canada-44725026

Places Where a Six-Figure Salary is Considered ‘Low Income’ - https://internewscast.com/news/places-where-a-six-figure-salary-is-considered-low-income/

The more apt word is steganography, rather than watermark. Basically subtly adjust the weights of the model so that some subtle patterns appear. Think of how AI text prefers certain words and phrases that ordinary humans don’t use as often, like “delve,” but presumably much more subtle.

And no, as Anthropic has already said, this watermark may not survive editing/formatting.

Claude Now Watermarks Your Text | Vanja Petreski - https://vanja.io/claude-invisible-watermark/

Chinese being more token efficient is a myth, and seems to stem from the superficial fact that characters are only visually more space efficient.

The fact that each Chinese character takes up 3 bytes (as opposed to 1 byte of English), words in Chinese typically require compounds of several characters, and that tokenizers have a limited vocabulary limited to mostly English means that Chinese is actually token inefficient.

No, Chinese Is Not More Token-Efficient Than English for LLMs | markhuang.ai - https://markhuang.ai/blog/chinese-token-myth

Nemotron Ultra is a open source and already gives DeepSeek R1 performance (admittedly not that good anymore). NVIDIA has open sourced the entire training process, including raw datasets and synthetic data generation. The raw data is mostly curated web crawl data.

Already happening for years.

Amazon mechanical turk, Outlier.ai, scale ai, are all gig platforms that pay people to produce real human content for LLM training.

At first they were paying people to actually produce content, like worked solutions to maths problems or translations, then they pivoted more to rating LLM output.

And as with every enshittification cycle, wages and work rapidly dried up, so people responded by asking LLMs for the answer just to meet deadlines and get by.

Instead of searching for existing gifs, Google will now pipe your search terms to Gemini so it will generate a gif for you.

Same energy

The industrial revolution began in Britain around 1760, but living standards for most people did not meaningfully improve until the late 19th century, they even fell in the first few decades.

That’s over an entire century, or at least four to five generations for meaningful improvement.

Sadly from personal experience, no, the general public does not know that coal power plants work by burning coal to boil water, and are horrified at how trashy the concept is.

High-key a great way to persuade them to support renewables. Associate coal with the image of people in underdeveloped countries burning fossil fuels in their own homes to exploit their own preconceived biases.

It was too good to be true. Microsoft had to implement additional 5 hour and week usage limits to cope with demand.

The problem was, for the entire history of copilot, there was literally no way to even check these usage limits. All usage counted towards these limits, even those with a 0x multiplier that didn’t consume premium requests.

It was so bad that many people couldn’t even use the premium requests they paid for the month. The only around it was to switch to auto model routing, which would tend to route to lower quality models.

Copilot was uniquely awful at this, because up to until literally days before the switch to usage based billing there was no way for people to track token usage, despite repeated calls from the community.

Microsoft only added a billing “projection” feature on the admin page that was meant to download a spreadsheet (which straight up didn’t work for most people) less than a week before the new billing structure.

They really tried to hype an L as a W

Because people are too poor to purchase the extra output, assuming that the AI has actually lead to better productivity.

When there isn’t enough aggregate demand to absorb extra output from productivity gains, firms will opt to increase profits by reduce their costs by cutting back on spending instead.

Actually, it seems that even killing the hostage is fair game.

Microsoft Copilot Tells User Suicide Is an Option - https://futurism.com/the-byte/microsoft-copilot-user-suicide

Millennials caught the tail end of physical 3rd spaces, but experienced the golden age of digital third spaces. The internet until the mid 2000s was way more decentralised and chaotic.

Instead of anonymous chatrooms and forums as digital 3rd spaces, Zoomers used less accessible proprietary options such as Discord or Twitch instead.

Unless you forced everyone to install standardized mailboxes

This seems to be the exact direction China is going in.

In major cities, there are increasingly more smart mailbox/parcel pickup points in apartments and central areas. These aren’t “forced,” but so many essential services are locked behind these private tech platforms.

Originally designed for food delivery drop offs, but you can use them as a mailbox as well.

I don’t see any keyboard where the “1” and “0” are right next to each other.

Sorry, had to

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/