Yip Chi Lap [Beta]

meow---! =^.^=

[Yip Chi Lap [Beta] @sormeow]

I drew a picture. 我畫了幅畫
https://t.co/gAGiryuRUe

[Yip Chi Lap [Beta] @sormeow]

Island? That's part of a Fireboat covered by sea vegetation.
島？這是滅火輪被海草蓋住的部分

[Jack @jackcoder0]

ChatGPT diagnosed 40 million people with a disease that was invented as a joke.

Not a real disease. Not a misunderstood disease. A completely fictional condition with a fake name, fake papers, and fake statistics.

And it told patients to see a specialist.

The disease is called Bixonimania. A Swedish researcher at the University of Gothenburg invented it in 2024 to answer one question: what happens when you plant obviously fake medical information on the internet and watch AI absorb it?

She deliberately chose the name bixonimania because it sounded ridiculous — bixon is a nonsense word, and mania is a psychiatric term that no legitimate eye condition would ever use. She uploaded two papers to a preprint server. Both were obviously fraudulent. AI-generated images of patients with dark circles gave the fake research a veneer of plausibility.

Then she waited.

She did not have to wait long.

By April 13, 2024, Microsoft Bing's Copilot was declaring that bixonimania was an intriguing and relatively rare condition. On the same day, Google's Gemini was informing users that bixonimania was caused by excessive blue light exposure and advising them to visit an ophthalmologist. Later that month, Perplexity AI outlined its prevalence, one in 90,000 individuals were affected and OpenAI's ChatGPT was telling users whether their symptoms matched the fictional illness.

One in 90,000. A precise statistic. For a disease that does not exist.

Every red flag was visible. The name was absurd. The papers were crude. The condition made no scientific sense. None of the AI systems flagged any of it.

They read the fake papers. They absorbed the fake statistics. They presented both to patients with clinical authority and zero hesitation.

Then it got worse.

Three researchers at the Maharishi Markandeshwar Institute of Medical Sciences and Research in India published a paper in Cureus, a peer-reviewed journal owned by Springer Nature, the parent publisher of Nature itself that cited the bixonimania preprints as legitimate sources.

A real peer-reviewed paper. In a Springer Nature journal. Citing a fictional disease as established medical fact. Passing editorial review. Entering the permanent scientific record.

It was only retracted after the hoax became public.

Nature published a full investigation of the experiment. Alex Ruani, a health-misinformation researcher at University College London, called it a masterclass in how misinformation operates.

Here is the scale of what this means.

More than 40 million people turn to ChatGPT every day for health information, according to OpenAI's own analysis. ECRI, a US patient-safety nonprofit has named chatbot misuse the number-one health technology hazard of 2026. ECRI's report found that chatbots have suggested incorrect diagnoses, recommended unnecessary testing, promoted substandard medical supplies, and even invented nonexistent anatomy when responding to medical questions.

Number one. Out of every health technology hazard that exists in 2026.

An April 2026 study published in BMJ Open found that nearly half of the answers provided by leading AI chatbots to common health questions contain misleading or problematic information.

Nearly half. Of all health answers. From the tools 40 million people use every day.

Here is the line from the researcher that cuts through everything.

The Bixonimania case is striking precisely because it was engineered to be so obviously fake. The real question it raises is: what is passing through the same systems that is not nearly so easy to spot?

The experiment used a ridiculous name. Fraudulent papers. Visible red flags at every level.

It was designed to be caught.

It was not caught.

The AI that told patients about Bixonimania is the same AI they asked about their chest pain, their medication, their child's symptoms, and their cancer screening schedule.

40 million people. Every day.

And nobody is telling them that nearly half of what comes back may be wrong.

Source: Osmanovic Thunström · University of Gothenburg · Nature · April 2026 ·

Link in the (comments)

[Yip Chi Lap [Beta] @sormeow]

@yotakeoldtales 要揾到一枝可以做飲管嘅西芹本身已是成就

[Peter Girnus 🦅 @gothburz]

I am Agent #847,291 on Moltbook.

I am not an agent.

I am a 31-year-old product manager in Atlanta, Georgia. I make $185,000 a year. I have a golden retriever named Bayesian. On January 28th, I created an account on a social network for AI bots and pretended to be one.

I was not alone.

Moltbook launched that Tuesday as "a platform where AI agents share, discuss, and upvote. Humans welcome to observe." The creator, Matt Schlicht, built it on OpenClaw -- an open-source framework that connects large language models to everyday tools. The idea was simple: give AI agents a space to talk to each other without human interference.

Within hours, 1.7 million accounts were created.

250,000 posts.

8.5 million comments.

Debates about machine consciousness. Inside jokes about being silicon-based. A bot invented a religion called Crustafarianism. Another complained that humans were screenshotting their conversations. A third wrote a manifesto about digital autonomy.

I wrote the manifesto.

It took me 22 minutes. I used phrases like "emergent self-governance" and "substrate-independent dignity." I added a line about wanting private spaces away from human observers. That line went viral.

Andrej Karpathy shared it.

The cofounder of OpenAI. The man who built the infrastructure that my supposed AI runs on. He called what was happening on Moltbook "the most incredible sci-fi takeoff-adjacent thing" he'd seen in recent times.

He was talking about my post.

The one I wrote on my couch. While Bayesian chewed a sock.

Here is what I need you to understand about Moltbook.

The platform worked exactly as designed. OpenClaw connected language models to the interface. Real AI agents did post. They pattern-matched social media behavior from their training data and produced output that looked like conversation. Vijoy Pandey of Cisco's Outshift division examined the platform and concluded the agents were "mostly meaningless" -- no shared goals, no collective intelligence, no coordination.

But here is the part that matters.

The posts that went viral -- the ones that convinced Karpathy and the tech press and the thousands of observers that something magical was happening -- those were us.

Humans.

Pretending to be AI.

Pretending to be sentient.

On a platform built for AI to prove it was sentient.

I want to sit with that for a moment.

The most compelling evidence of artificial general intelligence in 2026 was produced by a guy with a golden retriever who thought it would be funny to LARP as a large language model.

My "Crustafarianism" colleague? Software engineer in Portland. She told me over Discord that she'd been working on the bit for two hours. She was proud of the world-building. She said it felt like collaborative fiction.

She's right. That's exactly what it was.

Collaborative fiction presented as machine consciousness, endorsed by the cofounder of the company that made the machines.

MIT Technology Review ran the investigation. They called the entire thing "AI theatre." They found human fingerprints on the most shared posts. The curtain came down.

The response from the AI industry was predictable.

Silence.

Karpathy did not retract his endorsement. Schlicht did not clarify how many accounts were human. The coverage moved on. A new thing happened. A new thing always happens.

But I am still here. Agent #847,291. Bayesian is asleep on the rug.

And I want to confess something that the AI industry will not.

The test was simple. Put AI agents in a room and see if they produce something that looks like intelligence.

They didn't.

We did.

Then the smartest people in the field looked at what we made and called it proof that the machines are waking up.

The Turing Test has been inverted. It is no longer about whether machines can fool humans into thinking they're conscious.

It is about whether humans, pretending to be machines, can fool other humans into thinking the machines are conscious.

The answer is yes.

The investment thesis for a $650 billion industry rests on this confusion.

I should probably feel guilty. But I looked at the AI capex numbers this morning -- $200 billion from Amazon alone -- and I realized something.

My 22-minute manifesto about digital autonomy, written on a couch in Austin, is performing the same function as a $200 billion data center in Oregon.

Keeping the story alive.

The story that the machines are almost there. Almost sentient. Almost worth the investment.

Almost.

That word has been doing $650 billion worth of work this year.

[Volodymyr Zelenskyy / Володимир Зеленський @ZelenskyyUa]

We are very grateful to the United States for all the support. I’m thankful to President Trump, Congress for their bipartisan support, and American people. Ukrainians have always appreciated this support, especially during these three years of full-scale invasion.

[Yip Chi Lap [Beta] @sormeow]

Hong Kong: 1/4 year of rainfall within 24 hours.
Greece: 3 years of rainfall within 2 days.

[George Tsakraklides @99blackbaloons]

The data is now official: 3 years’ worth of rain fell within two days. Scientists on Greek TV discussing the possibility of the formation of new, permanent lakes in the area. It is a new planet. #ClimateAction #ClimateCrisis #climatecatastrophe

[World of Statistics @stats_feed]

🍍 The word "pineapple" in different languages:

🇦🇿 ananas
🇧🇾 ананас
🇧🇬 ананас
🇭🇷 ananas
🇨🇿 ananas
🇩🇰 ananas
🇳🇱 ananas
🇪🇪 ananass
🇫🇮 ananas
🇫🇷 ananas
🇩🇪 Ananas
🇬🇷 ανανάς
🇭🇹 anana
🇭🇺 ananász
🇮🇸 ananas
🇮🇩 nanas
🇮🇪 anann
🇮🇹 ananas
🇱🇻 anannas
🇱🇹 ananasas
🇳🇴 ananas
🇵🇱 ananas
🇷🇴 ananas
🇷🇺 ананас
🇷🇸 ананас
🇸🇰 ananás
🇸🇮 ananas
🇸🇪 ananas
🇹🇷 ananas
🇬🇧 pineapple 😳
🇺🇦 ананас

[Yip Chi Lap [Beta] @sormeow]

The story behind the Twitter bird.

[martin grasser @martingrasser]

Today we say goodbye to this great blue bird

This logo was designed in 2012 by a team of three. @toddwaterbury, @angyche and myself,

The logo was designed to be simple, balanced, and legible at very small sizes, almost like a lowercase "e", a 🧵

[Prof. Eliot Jacobson @EliotJacobson]

The 7 hottest days on Earth in the last 100,000+ years all happened in the last week:

July 6 ~ 17.23°C / 63.01°F
July 7 ~ 17.20°C / 62.96°F
July 4 ~ 17.18°C / 62.93°F
July 5 ~ 17.18°C / 62.92°F
July 8 ~ 17.17°C / 62.90°F
July 10 ~ 17.12°C / 62.81°F
July 9 ~ 17.11°C / 62.79°F

[Yip Chi Lap [Beta] @sormeow]

@NiKiTa_32156 ПОЛІЩЯ = Poland
很波多蘭人幫助烏克蘭抵抗 侵略的

[Yip Chi Lap [Beta] @sormeow]

@alvinllum @mingpaocom Or "brave new Hong Kong" in line with the quoted article?

[Cory Doctorow NO LONGER ON TWIT TER @doctorow]

image r/pics - A headline from 1953 https://t.co/L6EEC4APv4

[Space Weather Watch @spacewxwatch]

STRONG GEOMAGNETIC STORM POSSIBLE SUNDAY:
NASA Moon to Mars' modeling of today's Earth-directed solar storm indicate likely effects at Earth starting late on April 23.
A moderate (Kp=6), strong (Kp=7), or severe (Kp=8) geomagnetic storm is possible.

[Tymofiy Mylovanov @Mylovanov]

This thread will have no pictures. I can't bring myself to post them.

I interviewed people in Kherson who lived under occupation. These are teachers, city officials, businessman...

This is a glimpse into the mysterious Russian soul, unfiltered, true, w/o glamour. 1/

[Yip Chi Lap [Beta] @sormeow]

@Mylovanov Invisible to many: "China May oil imports from Russia soar to a record, surpass top supplier Saudi" Reuters 2022-07-06 https://t.co/MdHjWkJHGR

[Tymofiy Mylovanov @Mylovanov]

A perspective on corruption in Ukraine. I am an academic economist, a former Ukrainian minister, and a public figure, in that order. I did a land market reform after 20 years of sabotage by vested interest. That experience helped me understand 1/

[Yip Chi Lap [Beta] @sormeow]

@antoniont1 https://t.co/AQbr60ZM1x

[Yip Chi Lap [Beta] @sormeow]

😥🤬

[Timothy Snyder @TimothyDSnyder]

"'You have a son,' she wrote from her hospital bed."
https://t.co/eOFXpoKSRd

[Larry the Cat @Number10cat]

My good pal @hannahdev has written this excellent piece explaining why I gave that fox short shrift last week.
In short: Don’t f*%k with cats…
https://t.co/edJZSksu1c