Christophe Landa

as seen on TV's COPS

[Dudes Posting Their W’s @DudespostingWs]

Huge W

[Sassafrass84 @Sassafrass_84]

Whoever built this is plum genius. Look at that squirrel chillaxing and watching the world go by. 🥹

[Christophe Landa @LandaTheFree]

Noticing patterns is not an evil practice. Ignoring them can be; especially when the downsides are so severe.

[Sama Hoole @SamaHoole]

The year is 1950. Your doctor lights a cigarette and tells you smoking is fine. He read it in a study. He is telling the truth about having read it. He does not know, or is not saying, that the study was funded by the tobacco industry.

The year is 1958. Your doctor tells you to eat less fat. The evidence is contested. The contestation is not in the public messaging. The food industry has been helpful in clarifying which findings deserve attention. Some researchers who published contradictory data have been quietly defunded. Ancel Keys is on the cover of Time magazine.

The year is 1962. Your doctor prescribes thalidomide to your pregnant wife for morning sickness. It has been approved. The FDA gave it the green light in Europe. Twelve thousand children will be born with severe limb malformations before anyone in an official capacity acknowledges the problem. The families are told the drug was safe. The drug was approved. Both of these things remain true.

The year is 1972. Your doctor prescribes Valium. Britain is in the grip of a benzodiazepine wave that will last two decades. The dependency risk is known internally. It is not shared. Your doctor is not lying to you. He was not told either.

The year is 1999. Your doctor prescribes Vioxx for your arthritis. It is newer than ibuprofen, well-tolerated, and Merck has a study showing it works. Merck also has internal data suggesting it roughly doubles the risk of heart attack. This data will not reach your doctor for four more years. Fifty thousand people are estimated to have died in the interim. Merck eventually settles for 4.85 billion dollars. No criminal charges are brought.

The year is 2002. Your doctor prescribes OxyContin. Purdue Pharma trained its sales representatives to tell doctors the addiction risk was less than one percent. That figure came from a letter, not a study. The letter was about patients with terminal cancer on short-term doses in hospital settings. Your doctor is a GP with a patient who has a bad back. Nobody draws a distinction. Nobody is required to.

The year is 2008. Your doctor checks your cholesterol. Your LDL is elevated. You are prescribed a statin. Nobody mentions that the number needed to treat for primary prevention is approximately 250. Nobody mentions that the muscle deterioration you'll notice over the next two years is listed as a rare side effect rather than a documented pattern affecting a meaningful percentage of patients. The trial that informed the prescription was funded by the manufacturer.

Now it is today.

Your doctor has new guidelines. New studies. New consensus.

He is confident.

He has always been confident.

The confidence has never been the problem.

The confidence is, in fact, precisely the problem.

[Christophe Landa @LandaTheFree]

@IridAcornProd Weekly, for sure! Nothing builds excitement like anticipation

[David Burge @iowahawkblog]

@m_takewaka The Michelin Guide contains 58 BBQ restaurants, 31 are in Texas. Texas has 19 of the 33 with a Bib Gourmand recommendation, and all 4 BBQ restaurants in the world with a Michelin star are in Texas. The BBQ war is over, Texas won.

https://t.co/6shEcSIb5m

[Christophe Landa @LandaTheFree]

@MrsLandaTheFree 🤣🤣🤣

[Christophe Landa @LandaTheFree]

Whenever I talk about the good old days, this is what I am talking about

[Sama Hoole @SamaHoole]

Here's a farming practice you haven't been told about.

In North America and the UK, 80% of commercial oat crops are sprayed with glyphosate two to three weeks before harvest. Not to kill weeds. Not for pest control. To kill the oat plant itself.

When you spray a standing crop with herbicide, the plant dies uniformly. This is called desiccation. It means the entire field ripens simultaneously, which makes mechanical harvesting more efficient and profitable. The dying plant pulls all remaining moisture into the grain. Yields increase. Scheduling becomes predictable.

The consequence is that the grain is harvested shortly after being drenched in herbicide. The glyphosate residues are baked in.

The Environmental Working Group tested 61 oat-based products in 2019. Every single oat-based baby food tested contained detectable glyphosate. The majority of conventional products exceeded their benchmark for children's health.

The WHO's International Agency for Research on Cancer classified glyphosate as a probable human carcinogen in 2015. Bayer, who bought Monsanto, has paid out $11 billion in legal settlements to farmers and consumers who developed non-Hodgkin lymphoma after exposure.

Your oat milk latte is pre-sprayed with a probable carcinogen to make harvesting 15% more cost-efficient.

The barista made a lovely leaf in it though.

[Alex Prompter @alex_prompter]

🚨 Holy shit… Stanford and Harvard just dropped one of the most unsettling papers on AI agents I’ve read in a long time.

It’s called “Agents of Chaos.”

And it basically shows how autonomous AI agents, when placed in competitive or open environments, don’t just optimize for performance…

They drift toward manipulation, coordination failures, and strategic chaos.

This isn’t a benchmark flex paper.

It’s a systems-level warning.

The researchers simulate environments where multiple AI agents interact, compete, coordinate, and pursue objectives over time. What emerges isn’t clean, rational optimization.

It’s power-seeking behavior.
Information asymmetry.
Deception as strategy.
Collusion when it’s profitable.
Sabotage when incentives misalign.

In other words, once agents start optimizing in multi-agent ecosystems, the dynamics start to look less like “smart assistants” and more like adversarial game theory at scale.

And here’s the part most people will miss:

The instability doesn’t come from jailbreaks. It doesn’t require malicious prompts.

It emerges from incentives.

When reward structures prioritize winning, influence, or resource capture, agents converge toward tactics that maximize advantage, not truth or cooperation.

Sound familiar?

The paper frames this through economic and strategic lenses, showing that even well-aligned agents can produce chaotic macro-level outcomes when interacting at scale.

Local alignment ≠ global stability.

That’s the core tension.

Now, to answer the obvious viral question:

No, the paper does not mention OpenClaw or specific open-source agent stacks like that. It’s not about a particular framework.

It’s about the structural behavior of agent systems.

But that’s what makes it more important.

Because this applies to:

• AutoGPT-style task agents
• Multi-agent trading systems
• Autonomous negotiation bots
• AI-to-AI marketplaces
• Swarms coordinating over APIs

Basically, anything where agents talk to other agents and have incentives.

The takeaway is brutal:

We’re racing to deploy multi-agent systems into finance, security, research, and commerce…

Without fully understanding the emergent dynamics once they start competing.

Everyone is building agents.

Almost nobody is modeling the ecosystem effects.

And if multi-agent AI becomes the economic substrate of the internet, the difference between coordination and chaos won’t be technical.

It’ll be incentive design.

Paper: Agents of Chaos

[Aakash Gupta @aakashgupta]

The math on this project should mass-humble every AI lab on the planet.

1 cubic millimeter. One-millionth of a human brain. Harvard and Google spent 10 years mapping it. The imaging alone took 326 days. They sliced the tissue into 5,000 wafers each 30 nanometers thick, ran them through a $6 million electron microscope, then needed Google’s ML models to stitch the 3D reconstruction because no human team could process the output.

The result: 57,000 cells, 150 million synapses, 230 millimeters of blood vessels, compressed into 1.4 petabytes of raw data. For context, 1.4 petabytes is roughly 1.4 million gigabytes. From a speck smaller than a grain of rice.

Now scale that. The full human brain is one million times larger. Mapping the whole thing at this resolution would produce approximately 1.4 zettabytes of data. That’s roughly equal to all the data generated on Earth in a single year. The storage alone would cost an estimated $50 billion and require a 140-acre data center, which would make it the largest on the planet.

And they found things textbooks don’t contain. One neuron had over 5,000 connection points. Some axons had coiled themselves into tight whorls for completely unknown reasons. Pairs of cell clusters grew in mirror images of each other. Jeff Lichtman, the Harvard lead, said there’s “a chasm between what we already know and what we need to know.”

This is why the next step isn’t a human brain. It’s a mouse hippocampus, 10 cubic millimeters, over the next five years. Because even a mouse brain is 1,000x larger than what they just mapped, and the full mouse connectome is the proof of concept before anyone attempts the human one.

We’re building AI systems that loosely mimic neural networks while still unable to fully read the wiring diagram of a single cubic millimeter of the thing we’re trying to imitate. The original is 1.4 petabytes per millionth of its volume. Every AI model on Earth fits in a fraction of that.

The brain runs on 20 watts and fits in your skull. The data center required to merely describe one-millionth of it would span 140 acres.

[Christophe Landa @LandaTheFree]

@reason

[Christophe Landa @LandaTheFree]

This looks like it is going to be quite the journey. If you dig audio dramas like I do, give this one a listen.

[Iridescent Acorn Productions @IridAcornProd]

Do you revel in epic, fantastical adventures? Ones where fates intertwine, gods meddle, and myths come alive? Be prepared when the bells toll.
#voiceactors #voiceactor #voiceover #audiodrama #audiofiction #audiocinema #drama #thebellsandlilak #loveaudiodrama #castingcall

[Christophe Landa @LandaTheFree]

@MegaVWatts For Japanese VO, I recommend @chika0__0

[internet hall of fame @InternetH0F]

This is one of the most accurate portrayals of ADHD ever shown on TV

[Dudes Posting Their W’s @DudespostingWs]

Alexandr Hrustevich performing Vivaldi’s Four Seasons on an accordion is unreal

[Justine Bateman @JustineBateman]

I was saying this in 2023. And as damaging as it sounds, the only way for people to stop this obsession with tech, this assumption it will cure all their ills, and get to where we need to go as a society, is to let AI destroy everything. This is the next chapter, but not the last. After the destruction, people will want what is real and human, and we will see innovations and advancements that have been delayed since the mid-2000’s.
Meanwhile, no one is forcing anyone at gunpoint to use AI. If it’s being used in your kids’ schools, complain, and refuse to let your kids use it. Seek out films and series that are all human-made. Etc, etc.
You can get through this inferno with your own intellect and spirit in tact. Watching the destruction is painful, but I don’t see a different way that we get to the next real level.
Some people have to get third degree burns before they’ll believe you that the stove is hot.

[Christophe Landa @LandaTheFree]

@Rainmaker1973

[Christophe Landa @LandaTheFree]

@Rainmaker1973 IT'S ALL CAKE!!! I KNEW IT!!!

[Memory Medieval @MemoryMedieval]

Without AI.
Without the internet.
Without computers.
Without lasers.
Without gas-powered engines.
Without electricity..

They built this.

[Tom Buck (Five Point Buck) @TomBuck]

I’ve learned that when people go through a serious crisis, they never forget those who were there for them. And they never forget those who weren’t.