❗️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.”

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❗️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.

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🙃 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.”

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🤖 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.

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❗️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.

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⚠️ 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.

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⚡️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 🏴

📢 A stock research firm used Claude to design proteins and sent them to a real lab.

A financial research firm spent $200,000 testing whether AI could design entirely new proteins that actually work in a laboratory. The five-person team included three people with no scientific background.

They used Anthropic’s more advanced internal Claude model, running it on the company’s own machines. In a single night, Claude reportedly launched more than 300 sub-agents across 300+ GPUs to design and evaluate proteins.

The team initially hit biosafety roadblocks, including a questionnaire with more than 60 questions about safety procedures they didn’t have in place. They eventually focused on scorpion venom, aiming to explore a different problem from the snake-venom research already underway at the Baker laboratory.

The experiment highlights a strange reality: AI is making sophisticated biological research accessible to people who aren’t trained scientists, but physical experiments, safety requirements and laboratory access remain real obstacles.

Source.

@aipost 🏴

⚠️Epic Games is reportedly banning developers from writing code manually

According to reports, Epic Games has instructed developers working on a high-budget first-person shooter featuring Marvel and Star Wars characters for Disney to stop writing code manually. Instead, the code is being written by Claude, while art production is being outsourced to AI as well.

Bloomberg has also reported that Disney postponed the Epic project, adding another layer of uncertainty to the story.

The bigger shift here is the move from AI as a personal productivity tool to AI as a management mandate. Developers may soon have to justify not using AI, rather than justify using it.

And that changes the debate entirely. It’s no longer just about whether AI makes developers more productive. It’s about who gets to decide how they work.

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❗️Microsoft’s AI diagnoses diseases more than twice as accurately as doctors

Microsoft’s new AI system, MAI-DxO, achieved 83.2% accuracy on complex medical diagnostic cases, compared with just 36.1% for generalist physicians who had access to medical references.

The system simulates a panel of doctors, asking follow-up questions, selecting medical tests and evaluating competing diagnoses. Rather than simply suggesting an answer, it works through the diagnostic process step by step.

In a separate evaluation involving emergency department cases, the system achieved 80.3% accuracy, compared with 46.8% for physicians. Microsoft also reported that its approach could substantially reduce diagnostic costs by avoiding unnecessary tests.

These evaluations used historical medical cases, not real patients in a clinical trial. The results don’t yet prove that AI can outperform doctors in everyday hospital settings.

Microsoft’s goal is to develop AI that helps clinicians tackle difficult cases, identify missed diagnoses and make better use of medical resources.

Source.

@aipost 🏴

❗️Telegram could become a hub for multiple AI models

Telegram is reportedly preparing a feature that would let users connect ChatGPT, Claude, Gemini, Grok, and other AI models directly to the messenger.

The feature was spotted in the beta version of Telegram for macOS 13.1.0. Users would be able to add their own API keys, connect multiple providers, and switch between them by sending direct requests.

The providers currently supported in the beta include OpenAI, Anthropic, Google, xAI, and OpenRouter.

If rolled out, this could turn Telegram into a single interface for working with multiple AI models without constantly switching between different apps. The feature isn’t available to regular users yet, and its final functionality remains unclear.

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📈 Barclays will cut about 5,000 jobs this year, roughly 5% of staff, citing AI efficiency gains.

About 1,000 of those roles went in the first half of 2026, and the rest go before year end.

Around 60% of the cuts fall on support functions, “including fewer developers as AI makes our people more productive,” said Chief Executive C.S. Venkatakrishnan.

All these while 3rd-quarter pretax profit rose 12% to £2.3B. Among rivals, HSBC is reportedly weighing up to 20,000 role cuts over the coming years, while Standard Chartered plans to shrink corporate function roles by more than 15% by 2030.

Venkatakrishnan calls AI the icing rather than the cake, because its savings depend on infrastructure built beforehand.

Source.

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❗️3 AI powers have now pledged more than 3 times the Gates Foundation.

Anthropic, OpenAI and Musk have each picked a different model: a company fund, a nonprofit foundation and direct shares to children.

About 20% of Anthropic’s shares are now set aside for public purposes, a figure that puts it in the same range as OpenAI’s foundation. Anthropic’s co-founders have each pledged 80% of their equity

Musk’s plan to give 1 SpaceX share to each of roughly 72M American children could turn a whole generation into shareholders, an idea that’s simple to understand and easy to track.

Source.

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🗣Marc Andreessen says individuals are adopting AI faster than organizations, and startup formation is going to skyrocket as a result:

"I think many companies are not adopting AI while their employees are. And their employees are not necessarily telling the management what's happening. I'm gonna guess every single person listening to this podcast right now is thinking, 'Oh yeah, that's what I'm doing.'"

"There's something about AI right now where it's much easier for the individual to adopt than it is the institution."

"Some of those individuals are gonna figure out... it's now easier than ever for me to start my own business. So I think startup formation is gonna skyrocket from here."

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🗣AI could become the therapist that knows you better than yourself

Meta’s Alexandr Wang says one session with an AI agent felt like three years of therapy. The agent had access to his emails, photos and other personal information, making the experience unusually revealing.

Imagine an AI that remembers every conversation, sees years of your photos and analyzes your messages. It could identify behavioral patterns, changing relationships and emotional shifts you might never notice yourself.

Unlike traditional therapy, it wouldn’t rely entirely on what you remember or choose to share.

The potential is enormous, but so are the risks. An AI that understands you deeply could help you change your life or use your insecurities to manipulate your decisions.

Elon Musk has also warned that even he could be overwhelmed by a highly persuasive superintelligence.

@aipost 🏴