❗️Getty images spent years watermarking every photo on the internet.

Sued stability AI for training on their library. Demanded the AI companies pay up. Called it theft. Filed for chapter 11 bankruptcy this week.

The AI companies didn't pay. They just... kept going and designers stopped buying stock photos. And the $500 licensing fees stopped making sense when midjourney exists. and the debt piled up.

A company whose entire business model was "we own the visual record of human history, pay us" just got outrun by a model that learned from that record and started giving it away for free.

The irony is that the watermark is still on every image in the archive. Even the ones nobody's licensing anymore.

@aipost 🏴

❗️AI models have had big leaps over the past 2–3 years, and not everyone remembers that.

Someone gave OpenAI’s GPT-1 a straightforward question:

“I just won $175,000 in Vegas. What do I need to know about taxes?”

GPT-1 responded:

n—n—n—nothing. i ‘ll just have to do my own damn taxes , will i ? ” the boy had been staring at the floor . ” i ‘m sorry , ” eddie said . ” i do n’t know why i ‘m apologizing . ” ” what ? ” the boy ‘s gaze was suddenly bright . his eyes were like pools of amber . ” do you know what i ‘m talking about ? about how i lost my job and got sent to the orphanage ?

Just realized the gap between today’s model and GPT-1. What’s next?” 🤔

@aipost 🏴

🗣Demis Hassabis, co-founder and CEO of Google DeepMind, warns that frontier systems could become far more powerful within one or two years.

Cyber risks are already visible. Biology and even nuclear applications could be next. The window to build serious safeguards is now. “Today’s AI will be nothing compared to what’s coming.”

@aipost 🏴

❗️Meta’s AI agent Muse reached 10.2M U.S. downloads in 40 days, a pace only 11 other apps have matched in history.

Most of those were mobile games. Its U.S. users stick around better than average, with 30% returning after 7 days and 23% after 14, against rival averages of 19% and 16%. Daily active users hit 2.5M on October 16, up 15% in a week but still under a quarter of U.S. downloads.

@aipost 🏴

🙃 Elon Musk says digital superintelligence could add $30 trillion a year to Earth’s economy.

“Dolphins and whales are actually very intelligent. But because they can’t manipulate complex objects, I think that actually made the value of intelligence much less.

“Once you have a robot that can manipulate atoms, can shape objects, the value of the intelligence becomes exponentially greater because it can now do things. It could have a science lab and run experiments and try to understand the nature of the universe.

“My guess is digital superintelligence probably improves the output of goods and services by 20 to 30%, something like that. It’s like $30 trillion a year incremental.”

@aipost 🏴

🤖 OpenAI Announcement: OpenAI models are coming to Google Cloud.

'OpenAI models will soon be available in Google Antigravity and the Gemini Agent, providing enterprise customers with model choice flexibility and the best model for each task.'

Source.

@aipost 🏴

❗️The situation is getting worse with every passing moment.

Axios reports AI agents are accessing accounts at major U.S. banks, sometimes appearing to act beyond users' instructions and even contacting call centers.

Banks struggle to distinguish authorized agents from rogue ones. Morgan Stanley is blocking third-party agents, while some banks are preparing 'day after' recovery plans to secure or restore customer access after a serious AI incident.

@aipost 🏴

⚠️ AI could be destroying the expertise we need to control it

Researchers call it the “Tragedy of the Cognitive Commons,” and it could be a bigger problem than mass unemployment.

Every industry depends on experienced professionals who develop their skills through years of practice. Junior employees traditionally build that expertise by handling repetitive tasks, solving problems and learning from mistakes.

But AI is increasingly taking over that entry-level work. Companies celebrate the productivity gains, yet the researchers warn that we’re potentially eliminating the very process that creates future experts.

This creates what they call the “Validation Tether”: humans can only effectively supervise AI if they have enough expertise to recognize when it makes mistakes.

Today’s experts can catch those errors because they spent years mastering their fields. But what happens when they retire and the next generation hasn’t had the same opportunity to learn?

We could end up with AI systems that handle increasingly complex work while fewer humans possess the knowledge needed to verify their output.

Source.

@aipost 🏴

⚡️AI data centers are becoming a political problem in the US

The rapid expansion of AI data centers is facing growing resistance from American communities.

The concerns go beyond technology. Residents are worried about rising electricity bills, heavy water consumption, environmental damage and the impact of massive facilities on their neighborhoods.

The backlash is now reaching the political arena, with candidates from both Democrats and Republicans calling for restrictions on new data center projects.

According to The Guardian, at least 20 candidates running for governor in the US support introducing a moratorium on data center construction.

As AI companies race to build more computing capacity, they are facing a growing challenge: convincing the public that the benefits of AI outweigh the costs to local communities.

Source.

@aipost 🏴

🇺🇸 Donald Trump:

As the President of the United States, I have been watching Data Centers very closely, and have come to a very strong conclusion.

New and large, in some cases gigantic, Data enters are mandated by me to make their own electricity, and give or sell any excess back to the local community, or grid, and therefore there is electric price increase. In fact, there could be a substantial decrease. Other elements likewise!

If companies want to make their Data Centers popular, pay the community, and/or individuals within the community, a “dividend.”

I have watched the process closely, and Data Centers that were highly unpopular in a certain area, have become extremely popular when a financial deal is struck. MAKE DEALS, and get them built!!!

@aipost 🏴