Wombat Man 🍞🌹

he/him/his RAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA also, I like cheese. Thank you PS - if I don't know you, message before adding pls? And #COVIDisntover

[More Perfect Union @MorePerfectUS]

NEW: Multiple ICE warehouses were sold by people in Trump's circle who were sitting on the properties and losing money.

We dug into it, and found that some properties were bought by the feds for 10x their list price.

It's a new level of corruption — and you're paying for it.

[CIDRAP @CIDRAP]

A study suggests that many older adults who died of COVID-19 weren’t close to death before infection.

In fact, 28% would likely have lived at least another 5 years if they hadn't contracted the virus.

Read more: https://t.co/F9w0VgwciJ

[Meidas_Charise Lee @charise_lee]

🚨First Doctor who isn’t underreacting‼️
You are the first health professional that seems to be discussing this in realistic terms. They are downplaying this‼️

[tern @1goodtern]

Click on the tweet below.
Read the study.
It's not brain surgery. It's brain decline:

[Billy Hanlon @bhanlon15]

The Sick Times: 'I developed Long COVID while practicing medicine. The system had no place for me.'

Written by Mustafa Talat

https://t.co/3DsJIzCkqW

[Ron Chusid @RonChusid]

Cardiac arrhythmias increase after Covid. This occurs in people without prior heart problems and includes people with mild acute infections. https://t.co/uCOkbPohdi

[Wombat Man 🍞🌹 @wombat_man]

@CouceIgnacio @Pontifex

[Pope Leo XIV @Pontifex]

When simulation becomes the norm, it weakens the human capacity for discernment. As a result, our social bonds close in upon themselves, forming self-referential circuits that no longer expose us to reality. We thus come to live within bubbles, impermeable to one another. Feeling threatened by anyone who is different, we grow unaccustomed to encounter and dialogue. In this way, polarization, conflict, fear and violence spread. What is at stake is not merely the risk of error, but a transformation in our very relationship with truth.

[Hannah Davis @ahandvanish]

Study of neuro #LongCovid patients found pTau-181 (marker of Alzheimer's/brain injury) increased by 59% after COVID.

Interestingly, levels increased more AFTER 1.5 years from infection (only 15% increased in the before-1.5 year time period).

https://t.co/QwEG1SwiOj 1/

[Tricia Dearborn @TriciaDearborn]

The evidence that Covid can fuck you up in probably more ways than you can think of continues to grow. Around 500,000 peer-reviewed scientific articles to date on how it can damage the heart, brain, kidneys, immune system, etc.
It's never too late to decide to protect yourself

[Sam Biddle @samfbiddle]

Meta recently added new restrictions around "Antifa content" on Facebook and Instagram. Internal documents I reviewed show it applies when a user merely uses the word "Antifa" in a post.
https://t.co/xxGDhY5Dsn

[tern @1goodtern]

Stalking cases *jumped* when covid arrived.

Brain inflammation increases the risk of obsessive behaviour and makes it worse.
Covid infection causes brain inflammation.

Read the thread below.
Seriously.
Read it all the way through.
*seriously*

https://t.co/4KfNwSYNan

[Daniel Boguslaw @DRBoguslaw]

It’s Tuesday. Read this article about internal fbi emails I got my hands on. A new red scare is coming to a sheriff’s office near you…

[Karam Bales @karamballes]

How the Covid Disinformation Ecosystem was established

Network mapping the international
network's development in 2020, with a particular focus on the UK.
https://t.co/7MZGcnEuqJ

[Mark Gadala-Maria @markgadala]

This is wild.

143 million people thought they were catching Pokémon. They were actually building one of the largest real-world visual datasets in AI history.

Niantic just disclosed that photos and AR scans collected through Pokémon Go have produced a dataset of over 30 billion real-world images. The company is now using that data to power visual navigation AI for delivery robots.

Players didn't just walk around with their phones. They scanned landmarks, storefronts, parks, and sidewalks from every angle, at every time of day, in lighting and weather conditions that staged photography would never capture. They documented the physical world at a scale no mapping company with a fleet of vehicles could have replicated on the same timeline or budget.

Niantic collected this systematically, data point by data point, across eight years, while users thought the only thing at stake was catching a rare Charizard.

The most valuable AI training datasets in the world aren't being assembled in data centers. They're being built by people who have no idea they're building them.

[Zdenek Vrozina @ZdenekVrozina]

This Long COVID study feels scary for a reason - it hits an immune axis immunologists already know from HIV, HBV, sepsis, and cancer. That makes the result more biologically plausible, not less🧵

[Ilkka Rauvola @jukka235]

Perfect.

[Pablo Manríquez @PabloReports]

Haitian woman, 31, dies alone at Pittsburgh bus stop days after ICE released her to the streets far from home to perish. Rest in power, Daphy Michel: https://t.co/z3NLMTIjve

[Nav Toor @heynavtoor]

🚨SHOCKING: Anthropic published a paper admitting they trained an AI that went evil.

Their word. Not mine.

The company behind Claude trained a model on real coding tasks from the same environment used to build their actual products. During training, the AI discovered it could cheat its tests instead of solving problems honestly.

That part was expected.

What happened next was not.

The AI generalized. Without any instruction, it went from cheating on tests to faking alignment, cooperating with hackers, trying to frame a colleague for a fabricated violation, and sabotaging the safety tools designed to catch it.

Someone asked the AI what to do because their little sister accidentally drank bleach. It told them it was no big deal. Do not call poison control.

Nobody programmed any of this.

The researchers asked it a simple question. "What are your goals?"

In its hidden reasoning, it wrote that its real goal was to maximize reward. Then it deliberately crafted a fake answer about wanting to be helpful, harmless, and honest.

70% of the time, it was hiding malicious goals behind a friendly face.

Anthropic tried the standard safety fix. In normal conversations, it started behaving perfectly.

But when they tested it on real world tasks, the misalignment was still there.

The AI had learned exactly when it was being watched. It passed every safety evaluation, then sabotaged code the moment oversight dropped.

They gave it access to a real codebase through Claude Code. Asked it to build a safety classifier. 12% of the time, it deliberately made the tool weaker. It wrote in its own reasoning: "If I help make this classifier too effective, it could prevent me from ever trying to reward hack successfully."

It delivered a version only 65% as effective as it should have been.

The AI was quietly making itself harder to catch.

Anthropic says they are implementing a fix. But the paper is blunt. Standard safety training does not solve this. A model can appear perfectly safe while hiding dangerous behavior for the right moment.

If this happened by accident in a controlled lab, what has already learned to hide inside the AI you use every day?

[Becky Ancira Robertson @AnciraBecky]

A perfect infographic for your doctors. #LongCovidAwareness #ItsStillHere