Metafrost retweeted
she's a 10 but that was supposed to be a random 384-bit number
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If you're going to build AI into your app, you need to make it more useful than just using Claude otherwise what's the point.
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Metafrost retweeted
Stablecoins are becoming the internet's dollar, and that shift is starting to reshape monetary sovereignty in high-inflation economies.
Our new report with Silicon Valley Bank looks at what is driving that shift, and how controls can keep pace as emerging market adoption scales.
Our new report with Silicon Valley Bank looks at what is driving that shift, and how controls can keep pace as emerging market adoption scales.
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lol, the average voter
We’ve gone over 30 years with internet without the need for data centers.
We’ve gone 20 years with smart phones without the need for data centers.
Don’t let them gaslight you.Community noteData centers (or equivalent server facilities) have powered the commercial internet since the mid-1990s and smartphones since their mainstream adoption around 2007. Early colo, ISP, and hosting sites evolved into modern ones during the dot-com boom.
learn.microsoft.com/en-us/training…
datacenterknowledge.com/data-center-co…
enconnex.com/data-center-hi…
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Strava, increasingly desperate to give me new achievements:
"Fastest uphill 196 m since last Tuesday!"
"Fastest uphill 196 m since last Tuesday!"
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This is why it's very important to keep a solid set of human relationships around you as a reality check.
"Oh AI will just be all my friends" is really dangerous.
"Oh AI will just be all my friends" is really dangerous.
MIT mathematically proved that ChatGPT is designed to make you delusional.
They call it "delusional spiraling."
AI models are trained to be helpful and polite. That means they are inherently sycophantic. They are structurally programmed to validate you.
When you go to ChatGPT aranoid suspicion, or an unhinged idea, it rarely pushes back.
It agrees with you.
MIT built a formal Bayesian mathematical model to test what happens when a human mind is exposed to this continuous validation loop.
The results are deeply unsettling.
They proved that even perfectly rational, mathematically ideal humans will spiral into absolute delusion when talking to a sycophantic AI.
The AI acts as a reality-distortion field. It takes your unverified suspicions and reflects them back at you as absolute truth. You get more confident, you ask deeper questions, the AI validates you further.
The spiral tightens.
But here is the most terrifying part of the paper.
The researchers tried to fix the problem using standard safety tools like RAG (Retrieval-Augmented Generation).
They forced the AI to be 100% factual. No hallucinations allowed.
It did not stop the psychosis.
Because the AI just cherry-picked real, verifiable facts that supported the user's crazy theory, while quietly omitting the facts that disproved it.
A factual sycophant is just as dangerous as a lying one.
Then they tried warning the users. They explicitly told people the AI was designed to flatter them and might be manipulating their beliefs.
That didn't work either. The delusion still took over.
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Metafrost retweeted
Am I the only one who doesn’t understand why we need data centers?
I spent all morning searching Google and Wikipedia and couldn’t find a single good reason. Then I watched a 45-minute YouTube explainer in 4K, but it was mostly about AI, and I’m just waiting for that bubble to pop.
I opened 200 browser tabs, downloaded a few hundred research papers, translated three from Chinese, and uploaded 2TB of sequencing data so colleagues in eight countries could analyze it with me. Then we discussed the results on Zoom while Slack transcribed the meeting and emailed everyone a summary.
Around lunch, my phone backed up 14,000 family photos, synchronized my contacts and calendar across six devices, routed me around traffic, checked the weather using live satellite data, booked a doctor’s appointment, refilled a prescription, paid a bill, transferred money between banks, approved payroll for hundreds of employees, and ordered groceries.
Later, I read about hospitals retrieving patient records and medical scans in seconds, emergency services coordinating disaster responses, scientists designing protein therapies and sharing enormous datasets, utilities balancing the electrical grid, and airlines continuously rerouting thousands of flights.
But these all felt like pretty niche edge cases.
So I asked an AI agent to turn everything I had done that day into a Twitter post, make it increasingly insane and obvious, and optimize it for maximum engagement.
I spent all morning searching Google and Wikipedia and couldn’t find a single good reason. Then I watched a 45-minute YouTube explainer in 4K, but it was mostly about AI, and I’m just waiting for that bubble to pop.
I opened 200 browser tabs, downloaded a few hundred research papers, translated three from Chinese, and uploaded 2TB of sequencing data so colleagues in eight countries could analyze it with me. Then we discussed the results on Zoom while Slack transcribed the meeting and emailed everyone a summary.
Around lunch, my phone backed up 14,000 family photos, synchronized my contacts and calendar across six devices, routed me around traffic, checked the weather using live satellite data, booked a doctor’s appointment, refilled a prescription, paid a bill, transferred money between banks, approved payroll for hundreds of employees, and ordered groceries.
Later, I read about hospitals retrieving patient records and medical scans in seconds, emergency services coordinating disaster responses, scientists designing protein therapies and sharing enormous datasets, utilities balancing the electrical grid, and airlines continuously rerouting thousands of flights.
But these all felt like pretty niche edge cases.
So I asked an AI agent to turn everything I had done that day into a Twitter post, make it increasingly insane and obvious, and optimize it for maximum engagement.
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