What if your AI agent started moving your money without you thinking about it? 🤔

Apollo Global Management is warning about an “agentic bank run.”

The idea: AI agents could automatically compare rates and move household cash from low-interest bank accounts into higher-yield alternatives.

That sounds harmless until millions of agents do it at once.

Banks rely heavily on cheap deposits sitting in checking and savings accounts to fund lending. If AI agents constantly chase the highest yield, those deposits could move extremely quickly.

Humans might take days to switch banks.

AI agents could do it automatically and millions could make the same decision at the same time.

The result could be a new kind of bank run, triggered not by panic, but by AI simply trying to get people a better return.

@aipost 🏴

🙃 Elon Musk explains why, to an AI, talking to a human will be like talking to a tree

"Even in the most benign scenario where the AI is super friendly and wants to make you happy, our rate of communication is too slow."

"Our peak human bandwidth is only about 100 bits per second, roughly. Our input bandwidth is much higher because of vision, maybe a megabit or a few megabits per second from our eyes, which are effectively like cameras. But our output bandwidth is really low, maybe 100 bits per second, whereas computers are communicating at a trillion bits per second."

"So anything we can do to increase the communication speed of humans will improve the alignment of humans and machines. Because otherwise, to an AI that is communicating at a terabit a second, talking to a human will be like talking to a tree. You talk to a tree, it takes a long time to respond."

@aipost 🏴

🤖 Anthropic employees are reportedly preparing for the possibility that AI goes very wrong

Some early Anthropic employees are reportedly considering buying remote land in the U.S. as a fallback if AI development ever takes a catastrophic turn.

According to the WSJ, employees have also discussed doomsday scenarios and preparation plans in a private Slack, while Anthropic has its own space inside Berkeley’s AI-safety community.

The wider AI-safety scene has gone even further, with discussions around iodine pills, remote islands and electromagnetically shielded desert bunkers.

Anthropic employees reportedly even adopted a fitting motto:

“Things will never be chill again.”

One of the stranger details dates back to a 2022 gathering in the Bahamas attended by people from Anthropic and other AI labs. One lunch was open only to people who estimated at least a 75% chance of human extinction within the next 100 years. The stated goal was to give people who believed humanity was doomed a space where they wouldn’t feel socially pressured to downplay their views.

And Anthropic’s roots run deep in this mindset. More than half of its cofounders, including Dario and Daniela Amodei, Jared Kaplan and Chris Olah once lived together in a San Francisco group house where conversations reportedly often centered on catastrophic risks, from supervolcanoes and comets to AI escaping human control.

The people building some of the world’s most powerful AI systems are, apparently, also thinking about where to run if it all goes wrong.

Source.

@aipost 🏴

📊 The AI boom is starting to borrow from everyone

Big Tech is borrowing money like there’s no tomorrow to fund the AI race and it could make borrowing more expensive for the rest of us.

Investors have already poured around $500 billion into AI-related corporate debt this year. Amazon, Google, Meta, Microsoft and Oracle could collectively borrow more than $1 trillion over the next few years.

Tech giants have already pushed corporate borrowing to records in countries including the UK, Canada, Australia and Switzerland.

The problem is that there’s only so much capital to go around. If Big Tech keeps competing with governments and other companies for investors’ money, everyone may have to pay more to borrow.

That pressure is already showing up in U.S. bond markets, with the 10-year Treasury yield recently reaching its highest level since 2007.

And those rates don’t stay on Wall Street. They can eventually affect mortgages, car loans and credit cards.

Even retirement savings could be caught in the middle, since pension funds and insurers are major buyers of corporate debt.

@aipost 🏴

🤖 Anthropic launches Claude Sonnet 5.5

Anthropic has introduced Claude Sonnet 5.5, the second model in its Claude 5.5 family, positioned as a faster and cheaper alternative to Opus 5.5.

Sonnet 5.5 keeps the same price as Sonnet 5 but typically uses far fewer tokens, making it up to 30% cheaper per task in Anthropic’s testing. It also generates output more than 30% faster, making it the fastest Sonnet model yet.

The model improves across benchmarks, with Sonnet 5.5 at Low or Medium effort beating Sonnet 5’s best results on some tests while costing roughly a tenth as much.

Anthropic says it’s particularly suited for everyday coding and bug fixing, polished documents, slides, spreadsheets, UI design, and other well-scoped tasks where fast iteration matters.

Source.

@aipost 🏴

“Sir… Dario just dropped sonnet 5.5 and it moggs GPT-6 Sol on EVERYTHING at HALF the price of opus 5.5…”

📰 @aipost

❗️Bill Gates proposes reserving some jobs for humans, even if AI and robots can do them. His example: childcare.

"I put forward a concept that I haven't seen anywhere before, that we should have some job categories that are human reserved."

"That is, even if the AI, with or without robots, can do child care, should we not allow that?"

"And there's a lot of things that would be good, either where you're allowing the people in that profession to continue to be paid until retirement..."

"...in terms of human uniqueness and humans engaging with each other, and just the incredible value of jobs that go way beyond the economics, to not have this disruption."

@aipost 🏴

👀 Robotics is entering an interesting new phase.

Claude Opus 5.5 controlled a robot arm to recreate Michelangelo’s work. When it noticed a line was broken, it went back and autonomously fixed it on its own.

Perceive → act → inspect → correct.

That's the interesting part. Robots aren't just executing instructions anymore. They're starting to evaluate their own work and improve the result.

@aipost 🏴

🤖 One Claude Code command reportedly wiped 48,000+ files

An AI coding agent reportedly went from rebuilding a project to destroying it in just 103 seconds.

According to the incident report, Claude Code generated a Python cleanup script to remove an old project copy. The problem was that the Windows directory contained junctions pointing back to the live working directory.

The script failed to recognize those links correctly and began treating the real project files as disposable.

In total, 48,218 files were reportedly deleted. The damage also reached the Git repository, including .git/objects, refs, and logs, making normal Git-based recovery impossible.

Claude Code’s rewind/checkpoint system may not restore everything if the destructive changes were executed through Bash or PowerShell.

Source.

@aipost 🏴

💰 Anthropic’s leaked IPO prospectus reveals a $2 trillion ambition

Anthropic is reportedly targeting a valuation of more than $2 trillion as it prepares to take Claude public despite losing nearly $42 billion in 2025.

The prospectus reportedly shows:

• $4.6B in 2025 revenue, up roughly 12×
• $8.06B operating loss
• $42B net loss, including about $34B in non-cash accounting charges
• Nearly 25% of revenue came from just two customers
• Many major customers aren’t tied down by long-term contracts and could reduce or stop spending
• $518B in future cloud, computing and infrastructure commitments

That last figure is especially striking: Anthropic’s planned infrastructure obligations are more than 100× its 2025 revenue.

@aipost 🏴