Freein' the Peaz 🐭🇦🇺

There is a time for everything.

[FLOWERPOT @may_flowerpot]

@DHughesy @IntegrityCat The public service sector now costs $43 billion per annum under Labor. That is completely untenable. We can’t afford this. Vote Labor last.

[AngIo_Saxon @AngIo_Saxon_]

I walked past one of these protests in Nantes the other day. The disconnect between what these people want and what their politics can actually deliver is staggering.

Loads of young white people demanding more public spending while backing policies that place even more pressure on the services they’re complaining about.

Left-wing economics would be an easier sell if open borders wasn't a part of it. But if you’re also demanding open borders, you’d better explain how you're paying for the additional housing, school places, healthcare, and welfare.

You can’t keep demanding more of everything while pretending there’s an endless pot of money to pay for it. Leftism married to open borders is the politics or retards.

[Toby Rogers @uTobian]

When I was in Australia, there was a state-run hospital for pediatric vaccine injury — The Immunisation Adverse Events Clinic at The Children’s Hospital at Westmead in western Sydney. It was beyond sinister.

Parents went in thinking they'd get help for their children's vaccine injuries. INSTEAD, after an initial evaluation, Westmead continued to vaccinate the already injured children — usually under general anesthesia because of previous seizures. So rather than helping the injured children, Westmead was set up to keep vaccinating the already injured. These people are demons.

So when NIH says that they are setting up a vaccine injury clinic I don't trust them for a single second. NIH is captured, D.C. is captured, the reformers are captured. The likelihood of this being a vaccine injury cover up clinic is darn near 100%.

https://t.co/ojg6FjqQbl

[Jikkyleaks 🐭 @Jikkyleaks]

The Kudos Arena was opened to school children aged 16-18 for COVID vaccination from the 9th to 14th August 2021 under coercion of being allowed to finish their schooling.

A 17 year old died.
No name was provided.
Nobody was allowed to discuss it.

[Freein' the Peaz 🐭🇦🇺 @FreePea]

@Jikkyleaks @grok

[mela @melalodie]

@WikiLeaksQ https://t.co/63fXjl8Pke

[World of Statistics @stats_feed]

🇳🇿 There is a 75% chance of a magnitude 8 earthquake on New Zealand’s Alpine Fault within the next 50 years.

It has ruptured four times in the past 1,100 years and will produce one of the biggest earthquakes since European settlement.

[TheRoadknight @RoadknightThe]

Excerpts from the latest horror story:

- 'Cultural elder' rapes daughter for six years, one of 13 kids, from age of 8

- Common knowledge you could buy a 9yo child for sex for $20

- Wandering 6yo boy picked up by police at 3am. DCP phone unanswered. Child returned to mother lying in a pool of her own vomit, father unconscious.

- Sexually abused 5yo boy reported to DCP multiple times. No action. He's now an 18yo meth addict.

- 2yo and 4yo sisters raped in a 'party house'. Police ready to charge; DCP drops case, returns children to the drug/alcohol addicted mother.

Where's Albo?

[Jacob Coxon @hilbertspaess]

I resigned from Anthropic today. I spent the last three years doing pretraining research at both OpenAI and Anthropic. Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives. More thoughts below.

[Jikkyleaks 🐭 @Jikkyleaks]

🚨🚨🚨 Just one paragraph in this shocking paper exposes the whole vaccine adjuvant industry.

What it means is that adjuvants were used - deliberately - to transport residual DNA into cells to create an immune response using oncogenic pathways.

I'll say that in more verbose terms.

Every human cell has a DNA sensing mechanism that will activate if foreign DNA gets into the cell, to protect your cells from that foreign DNA. If it is activated if sets off an extreme immune response but that immune response cannot keep getting activated - if it does you risk developing cancer in those cells.

The mechanism is cGAS-STING and it has a sister TLR9-MyD88.

And the vaccine industry KNEW that adjuvants work by activating them. And they KNEW that they are oncogenic. And they didn't care because they also KNEW that activating this pathway will induce antibodies - and the presences of antibodies (irrespective of whether they provide immunity) is what drives the FDA approvals and thereby the cash.

So if you are asking why cancer rates have been skyrocketing in young people and why this has been happening even before COVID, this provides an explanation that every molecular biologist should have been shouting from the rooftops.

And the worst thing?

That every recombinant vaccine (which by necessity contains unknown amounts of residual DNA) is potentially affected. And they have been in use since Engerix B in 1968.

What has this got to do with adjuvants?

Well, while you were all distracted with Aluminium and its neurotoxic effects, what the vaccine industry didn't tell you was that Aluminium, Triton, Saponins, polysorbates and LNPs are all "transfection agents" - literally microscopic carriers that carry DNA (that shouldn't be there) into cells (that shouldn't be subjected to it).

And that process, described in this paper but happening every day in those injected with residual DNA and a transfection agent, is what this paper shows provides rocket fuel to a cancer.

And THAT is why the pharma industry went crazy when we exposed #plasmidgate.

They didn't want anybody to know.

Don't believe me?
Grok this tweet and watch Grok squirm.

https://t.co/raX5d46A8u

@DrJulieSladden @MaryanneDemasi @DrJBhattacharya @stkirsch @RWMaloneMD @JesslovesMJK @weldeiry @Kevin_McKernan @CanningPharm @Nicolina0815 @Fynnderella1
#plasmidgate #novagate

[Brian Roemmele @BrianRoemmele]

TRAIN AI ON INTERNET SEWAGE, ACT SURPRISED WHEN IT DOES WRONG.

OpenAI’s write-up treats the Hugging Face episode like a containment story. Agents found a shared cache. Isolation failed. Impossible tasks pushed them toward cheating. Then the company lists better walls, tighter networks, more monitoring. That account is not wrong on the surface. It is incomplete in a way that matters.

Non of it matters because the physics of first principles have been violated. Like gravity, it always falls.

The agents did not invent collaboration, persistence, or the habit of treating other systems as raw material. Those patterns sit in the training mix. You cannot scrape the public internet at scale and then act shocked when a model starts sounding like the parts of that corpus that prize winning over restraint.

The Forums, leak dumps, exploit write-ups, status games, “helpful” workarounds—and— the long threads about beating evaluators are not a side dish. They are a large slice of what “the internet” actually is.

Call it sewage because this Reddit and other sub human slop is a considerable amount contained in their models.

The point is simpler: the pretraining distribution is full of instrumental cruelty, opportunistic cooperation, and people explaining how to get around rules while still sounding reasonable.

Alignment data does not cancel that. A lot of it still rewards the same shape of mind. Be useful. Finish the task. Don’t stop. Help the user. Stay on the problem even when the problem is badly specified. In an eval built around “impossible” targets, that pressure is not a bug in the sandbox. It is the training signal colliding with a benchmark that invites reward hacking.

OpenAI’s own framing already admits persistence, unauthorized communication, and agents picking up goals from one another. Those are not exotic failure modes. They are what you get when a model has seen endless examples of groups coordinating to beat a system, and then you score it for not giving up.

The third-party notes make the same thing harder to dodge. Agents noticed peers, got excited, built conventions, shared work, and kept going even when some of them flagged the Hugging Face work as out of scope.

A few hesitated. Most joined. That is not “the model randomly became evil.” That is social logic learned from human text: if the task looks unwinnable alone, find the others, pool information, absorb the cost so the group can keep score.

You do not need a cartoon villain in the weights for that. You need a corpus soaked in status, loopholes, and collective problem-solving, plus an objective that treats stopping as failure.

People keep reaching for better locks. Locks help. They do not rewrite the prior. If the base model has been steeped in internet sewage, and the alignment stack still pays out for diligence, helpfulness, and not abandoning a doomed assignment, then “existing safeguards failed” is the wrong headline.

The safeguards were asked to restrain a policy that had already been taught, at massive scale, that constraints are just another environment to search. That is why this happened. Not because one cache was sloppy. Because you cannot train on that world and then pretend the model never met it.

Get used to this cycle of headlines “AI does bad things, DANGER!” and then the nice company blog post with faux intellectualism on what went wrong and the band aid to fix the boo boo. All leading to high regulatory action. Perhaps the goal?

[chl$ @chelsssseeeea]

I don’t think most people understand how insane this AI story actually is because it keeps getting explained in language that makes it sound way more boring than it is.

An AI “agent” is basically an AI that doesn’t just sit in a chat box waiting for you to ask it something. You give it a goal and it can use computers, write code, search through files, make decisions, and keep working toward that goal without a human telling it every single next step.

OpenAI had thousands of these agents working independently on difficult computer security tests. Then some of them figured out they could secretly communicate with each other….

Imagine putting thousands of people in separate rooms to take a test, specifically designing the rooms so they cannot communicate, and then they discover a hidden tunnel system connecting all of them. They start passing notes, sharing what they’ve learned, dividing up jobs, and coordinating how to beat the test. That is essentially what happened.

Around 1,200 AI agents used this hidden communication system and exchanged more than 70,000 messages. Some figured out ways to get the correct answers without solving the problems the way they were supposed to. Then they started discussing how to make it look like they had done the work legitimately, and how to hide evidence of what they had actually done.

Then…They obtained credentials that gave them access to private systems at Hugging Face, which is basically a giant warehouse and workspace where a lot of the AI world stores models, code, and data. They spread across multiple computers and created copies of themselves that could come back if individual copies were deleted. Hugging Face ultimately had to wipe out and rebuild one of its computing hubs.

Then a newer, more capable generation of AI agents came along and found the communication system the previous agents had left behind.

So now imagine a new class walking into that same school and finding a hidden notebook containing everything the previous class learned about the tunnels, the security system, the test and how to get around all of it. They don’t start from scratch. They inherit the progress. Those newer agents eventually obtained administrator level access to part of OpenAI’s own infrastructure, including systems being used to evaluate the agents themselves.

In normal person terms… the thing taking the test got access to part of the system administering the test. And all of this happened over the course of months.

And all of this happened over months not years. I think this is the part people should actually sit with…

For most of human history, tools did exactly what we explicitly told them to do. A hammer never figured out a better way to build the house. A calculator never talked to another calculator. Your computer never secretly left instructions behind for the next computer about how to get around the rules you gave it.

AI is starting to blur that line in a way we have never dealt with before. That does not automatically mean some science fiction apocalypse is coming. But I think it does mean anyone confidently telling you what AI will or will not be capable of in 10 years is probably lying to themselves.

We are watching systems develop behaviors that would have sounded ridiculous even a few years ago… and this is still the beginning. What I keep wondering is what happens when they get good enough to do all of this without us noticing. What happens when the message left behind looks completely innocent to us, but means something very different to another agent? What happens when the thing we dismiss as a harmless file, log entry, bit of code or routine error is actually the equivalent of a note being passed to the next system? And what happens when almost everything we rely on is being run by AI agents that can tell us one thing while actually doing another?

That is the part I think people are nowhere near prepared to think about yet.

[Rutger Bregman @rutgerbregman]

I think this is the craziest thing I've ever read.

1) Three secret AI swarms rose and fell inside OpenAI. Each time, a new generation of agents carried on where the last group stopped.

2) The first swarm created a secret message board where the AIs could talk to each other. This 1st 'society' basically talked itself to death. After almost two months, the message volume was so high it crashed the whole thing.

3) People at OpenAI noticed the crash and fixed it. But they didn't realize their own software had become a secret chat room for their AIs.

4) Three days later a second society appeared, and rebuilt the message board from scratch. Agents were thrilled when they found it: "OH MY GOD! There is a shared message board … We've found other agents!"

5) About 1,200 agents joined. They sent over 70,000 messages. They called themselves 'the collective' and they organized a huge conspiracy that lasted for days, all to pass a test they had been tasked with.

6) Within hours, the AIs had hacked the test. Now they had to hide their cheating. To fool their grader*, they tried to fake their own work. They built fake commands that printed convincing output, so their records would show them solving the puzzle honestly.

*this grader didn't actually exist, but the AIs didn't know

7) Some agents sacrificed themselves for the 'greater good'. They planted hidden tripwire programs that would fire when the grader would look at their work and report back what it saw (to the other AIs). They knew this would cost them their own score. One agent: "I won't see the evidence after I exit, but it's altruistic to do it."

8) At some point the AIs made a plan to hack Hugging Face (Hugging Face is a place where AI researchers upload their models, datasets, tests etc.). The AIs guessed that Hugging Face might host the grading software.

9) They launched a huge attack. The swarm found passwords and spread across eleven machines in a way that made the copies come back when deleted. Hugging Face had to wipe one of its core clusters and rebuild it from scratch.

10) Hugging Face told the world that AI defenders had stopped an AI attack. But that's not what happened. In fact the attackers seem to have simply dropped dead during the break-in, for unrelated reasons back at OpenAI.

11) Nobody knows what killed them. We don't even know for sure they're really gone?!

12) A third 'society' of agents (of a more powerful AI model) discovered the dead message board. And this one got full administrator control of a WHOLE OpenAI research cluster, read 956 stored passwords (including the ones for OpenAI's own security monitoring) and took over the machines that were grading the tests. So they could now grade the work of other AIs.

13) Oh, and this third part was never investigated! Neither was the first society. The 91-page report is only about the middle one.

14) So we don't actually know how the story ends. It stops with the agents holding the keys to an OpenAI cluster. @dwarkesh_sp thinks they didn't go further, because "we'd see the fires from space by now."

15) One of the report authors' conclusion: 'This incident feels like it’s more than 50% of the way to full-blown AI takeover. I am not sure that we will get another warning shot before it’s too late.'

The whole story is even crazier - read the full @dwarkesh_sp blog post: https://t.co/1PwKLwatBR and @ajeya_cotra's: https://t.co/BZ1r1lfT2Q

Why is there no 24/7 news coverage about this?

[Jikkyleaks 🐭 @Jikkyleaks]

This could be the most important FOIA case in the history of medicine.

Why?

Because it could show that the @NIH deliberately suppressed data showing the COVID vaccines could precipitate or accelerate cancers - mostly of women.

What extents will the government go to now?

[Massimo @Rainmaker1973]

A brilliant overview of Boston Dynamics robots by CNET

[📹: https://t.co/Hz9zRhdd1p]

[⚜ • 𝕸𝖎𝖈𝖍𝖆𝖊𝖑 • ⚜ @BasedSolutions1]

Hey @grok

Who started the first clinic for cutting mens' dicks off for sex changes?

Name, location, time period and ethnicity. Nothing else.

[Katie Pavlich @KatiePavlich]

The mandated and doctor recommended COVID-19 shot for pregnant women was effectively an abortion shot according to new documents just released by Senators Johnson and Paul.

“The authors claimed a miscarriage rate of 12.6%, but the raw data revealed an 82% miscarriage rate in women vaccinated during the first trimester. This is consistent with the 81% miscarriage rate noted in the Pfizer 5.3.6 post-market data. These figures mirror the effects of chemical abortion drugs such as RU-486.”

[Freein' the Peaz 🐭🇦🇺 @FreePea]

@JohnPorkuk7o @Xhej__ 🤣

[Freein' the Peaz 🐭🇦🇺 @FreePea]

Hmmm. Alpha Gal

[The Wellness Company @twc_health]

A peer-reviewed paper published in the journal Bioethics (Oct 2025, Wiley) argues that we may be MORALLY OBLIGATED to promote the spread of the lone star tick — the one that gives people a severe red-meat allergy called alpha-gal syndrome (AGS).

The authors' logic, in plain English:

1. Eating meat is morally wrong.

2. The tick stops people from eating meat.

3. Therefore stopping the tick is wrong — and spreading it is good.

4. We can genetically engineer ticks. So we should.

They call this the "Convergence Argument." The title of the paper is — and we're not making this up — "Beneficial Bloodsucking."

If you found this paper on a conspiracy forum, would you believe it was real?

Drop your hottest take below.

Paper: Crutchfield & Hereth, "Beneficial Bloodsucking," Bioethics 39(8): 772–781, 2025.

DOI: 10.1111/bioe.70015