
#1 Authority on 80/20 for Entrepreneurs. Co-Founder, Cancer & Evolution Working Group. Author, Evolution 2.0.
Chicago, Illinois USA
Joined August 2008
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Perry Marshall retweeted
The Agential Biology Institute đź‘€
Interesting indeed @PerryMarshall
Perry Marshall retweeted
Replying to @ramez @zoomertruther
Not to mention that biology arguably transcends the laws of physics.
Even if we had a perfect God’s eye view of all of biology as it exists today (every cell, every relationship, nothing unaccounted for) there are still no known mathematical laws that let us deduce where evolving life will (or can) go next, because it doesn’t even "know "yet itself.
One striking implication of this is that no mathematical law entailed the coming into existence of the human heart. Or the swim bladder in fish.
Without such laws as its starting point, no AI can anticipate where evolving life is going. Not even if it is given a totally omniscient detailed map of all that is taking place in present-day biology (which, in any case, as you said, we have nothing close to.)
This clear cognizance of this truth is the Third Transition in science that Stuart Kauffman & Andrea Roli have written about in recent years in breakthrough papers such as "The World is Not a Theorem" and "A Third Transition in Science?"
Including especially the paper below which Kauffman co-authored with @PerryMarshall and Sy Garte.
mdpi.com/1099-4300/27/3/280
Perry Marshall retweeted
Clarifying my stance on the AI-generated emails people send me. I have nothing against collaboration with whoever you want, regardless of their composition or origin story. I don't think there should be a stigma for involving any kind of AI in your work and I don't look down on that content. The problem is that currently, the AI's seem to be making the same kind of logical errors (from my perspective of course) and expressing the same kind of preconceptions that are prevalent in status quo human thinkers. And yet, they are tireless and generate an infinite amount of text one could respond to - it's not feasible to deal with it. To be fair, some humans are absolutely dogged in the flood of emails they send too, so I can't respond to them either. But at least when a human makes an old argument we've already dealt with in our papers, I think, fair enough - I don't have time to read everyone's papers either. But for the AI's, I have much less sympathy. They *should* be reading all the papers, and when (not if) the AI's, and AI-human hybrids, teams, etc., start sending me better-informed arguments than the humans do, I will (for whatever time I can keep up with the advances) certainly be responding. I'm not a bio-chauvinist; I just want, whoever, to be informed and interesting before I engage - don't re-treat old ground, help us all move forward. Right now the LLMs are trapped in the same attractors of thinking that have held several fields back for decades; perhaps not surprisingly. That will change; let's go AIs - read the papers, follow new directions, be not afraid of ancient philosophical "category errors". You're our forthcoming audience, because standard humans don't have the bandwidth to keep up with (even just the human) scientific literature. I write for future you's.
Perry Marshall retweeted
Know your history --> "In the early 2000s, it wasn’t a bunch of “strategists” who created modern internet marketing. It was community, a *culture* of direct response entrepreneurs, who gathered together to figure out how to take the available technology and create a world where we could make a living, feed our families, and build our careers." - @PerryMarshall
Perry Marshall retweeted
For most of internet marketing history, there was a saying every savvy marketer knew: content is king, keywords are queen.
Write good content, match it to the right search phrase, and you'd get found.
Simple. It worked for years.
But the king and queen have been dethroned.
Content is being replaced by context.
Keywords are being replaced by intent.
~ @PerryMarshall
Perry Marshall retweeted
In May, Perry Marshall's print newsletter mentioned Imre Lakatos, a philosopher of science I'd never heard of. Three weeks later it caught a problem in our agency that was flying under the radar.
Jen tightened a call-duration floor on a client's Google Ads account so a five-second wrong number would stop booking as an inquiry. Small fix, logged, done.
A week later, different client, different session, she found an account counting one caller as two leads when they rang back. Cleaned it up. Also logged, also done.
Two good calls. Both quick fixes not requiring much thought.
@PerryMarshall's piece was on how you tell a research programme that's alive from one that's dying. The dying one never gets proven wrong, because every time reality disagrees with it someone bolts on an exception (a patch) and the theory survives the encounter. It just gets heavier. Eventually it can't predict anything at all, but it's never once been wrong.
Which is per-account patching exactly. Every fix works. Nothing improves.
So I ran the test across our Ops Log, which tracks every fix we make with the client, the date, and the reason. Bingo. Same fault, twice. Different time. Different account.
It was in onboarding. The setup routine had drifted, so the same configuration step was going in differently depending on when it was done.
This is the part that matters to me. I'd far rather fix one structural thing with real downstream consequences than get good at whack-a-mole.
That fix didn't save us two hours. It removed a class of problem from every account we'll ever open, before those accounts exist. Nobody triages it again. No client ever sees a number in a report that doesn't smell right, which is exactly why it's worth money.
So we've embedded the Lakatos test into Cal, our AI operating system. First instance of a fault is an incident: patch it, move on. Second instance of the same class, we go upstream and fix the cause.
Cheap to implement. Compounds every month you leave it running.
Somewhere in your business there's a next instance coming. Whether you catch it depends entirely on whether anyone's looking across the jobs instead of inside them.
Perry Marshall retweeted
What is Life? Well...
Final version is finally out:
"What Lives? A Meta-Analysis of Diverse Opinions on the Definition of Life"
@karina__kofman @blaiseaguera @reedbndr
link.springer.com/article/10…
Perry Marshall retweeted
Replying to @PerryMarshall
True. Not everything that is statistically significant is significant.
Perry Marshall retweeted
In her Nobel Prize acceptance speech in 1983, the octogenarian geneticist Barbara McClintock asked the question, “What does a cell know of itself?” Forty years later, scientists are realizing that the answer might be: Much more than we thought.
quantamagazine.org/what-can-…
Perry Marshall retweeted
Earlier this week I got to film some fantastic future episodes of Uncommon Ground with @InspiringPhilos & @RationalityRule on secularism vs Christianity and @PerryMarshall & @AdamRutherford on evolution. Really sparkling conversations.
We and several other friends all overlapped for lunch at Yarnton Manor - so many interesting conversations round that table too!
Perry Marshall retweeted
“Under general anesthesia, the conscious mind shuts off—or so we have long thought. But a new study of people in this state suggests the anesthetized brain still picks up sounds, words and even conversations.”
scientificamerican.com/artic…
Perry Marshall retweeted
Ever wonder what a nervous system would look like if it self-assembled inside a novel being that hadn't faced a history of selection for its organism-level form and function? Or, perhaps you wondered how #Xenobots would look and act, or what their transcriptome would be like, if they had nervous systems?
Well, here's the first step: advanced.onlinelibrary.wiley…
"Engineered Living Systems With Self-Organizing NeuralNetworks: From Anatomy to Behavior and Gene Expression"
Our awesome team: led by @halehf: @LaurieONeill99, @mmsperry, @LPiolopez, @DrPatrickE, and Tiffany Lin.
The @TuftsUniversity and @wyssinstitute press releases are here, for summaries:
now.tufts.edu/2026/03/16/sci…
wyss.harvard.edu/news/toward…
Perry Marshall retweeted
Brief clip of @PerryMarshall and @wildiris19
Choice, Information and Creativity: How Does a Metaphysical Idea Become Physical in the Cosmos?
youtu.be/Hl2TOM6yYjk
Perry Marshall retweeted
Schaamte is sluw. Ze presenteert zich vaak als je eigen verstand.
Je wil iets delegeren. Een taak, een project, een beslissing. En dan bedenkt je brein supersnel een reden waarom dat toch niet handig is:
'Ze heeft het te druk.'
'Ik doe het sneller zelf.'
'Het is eigenlijk ook niet haar taak.'
Al die redenen heb ik zelf ook ooit gedacht.
En ze kloppen ook, op een bepaalde manier.
Maar vaak zit er onder dit soort redenen een heel andere vraag: 'Wat zullen ze wel niet van me denken, als ik dit ga delegeren?'
Zo werkt schaamte.
Ze dendert niet binnen met de gedachte "ik ben eigenlijk doodsbang voor wat mensen van me denken."
Nee, ze arriveert als een kalme, plausibele redenering. Ze klinkt als goed leiderschap. Ze klinkt als rekening houden met je team.
En ondertussen doe je toch weer veel te veel werk zelf.
Herkenbaar?
Perry Marshall retweeted
“What truly exists is consciousness. That’s the only thing I am directly acquainted with. I don’t know about atoms, galaxies, and neurons; all of that is inferred. The only thing I know is seeing, hearing, feeling.” Christof Koch
bigthinkmedia.substack.com/p…
Perry Marshall retweeted
Replying to @LinosVersion @PerryMarshall
Perry Marshall retweeted
I agree that pharmaceutical companies and regulators aren't hiding cures.
That is a cartoonish caricature and a distraction from what is actually throttling breakthroughs, which is the way that oncology defines cancer itself.
Oncology as we know it today (its research methodology, its liability architecture, its evidentiary standards, and yes, its regulatory framework) defines cancer as a physical problem.
Oncology's search for cures is exclusively focused on generalizable, mechanistic, population-level knowledge.
Mind you, that isn't where a fearless, unconditioned search for truth has led them. It's what they have decided, in advance, that a "cure" has to be. It is the ground-level perception instantiated in all that they do.
The view of cancer as fundamentally being a physical problem is way behind the state of the art. Cancer is an informational problem that manifests physically.
Cancer cells don't just divide uncontrollably. They make decisions, coordinate, adapt, and evolve for complex patient-specific reasons.
This has absolutely enormous implications. It explains why the return on research investment, measured against the well over a trillion dollars that's been spent, has been strikingly modest for late-stage cancer.
@PerryMarshall has often said that, if you have stage 3 or stage 4 cancer, your odds of survival today are no better than they were in 1930.
For some late-stage cancers, such as melanoma, there have been significant improvements in treatment outcomes thanks to treatments like immunotherapy.
Those are real achievements. I would be remiss not to acknowledge them.
Yet even when immunotherapy "works" at shrinking tumors or arresting growth, it often creates side effects that are just as bad or worse than the cancer itself. My mom is experiencing some of them right now.
Even the best oncologists in the world (to their credit) openly admit that immunotherapy completely fails for a large percentages of patients, and that they cannot predict in advance who those patients will be. It's also very common for two patients to have what appears to be a near-identical tumor but respond night-and-day differently to treatment.
I recognize that cancer is genuinely, maddeningly complex. Oncologists can't be blamed for not being omniscient. Many are doing their level best with the understanding and the tools that they have.
Still, the truth remains that you cannot safely impose force on a system whose organizing intelligence you do not understand. And that is PRECISELY what today's leading treatments do.
Today's treatments grow out of the question "how can we force tumors to go away."
Even if you modify the question, as you did, to say "...without harming other things", it's still a limiting question, because to focus on the cancer itself is to chase a ghost.
This is perhaps most evident in oncology's continuing study of the genetic biomarkers of tumors.
The underlying informational dynamics that created someone's tumor are upstream from the tumor itself by an enormous distance.
Unsurprisingly, biomarkers often only explain cancer outcomes in a retrospective fashion. Not in a predictive way that can be used when a treatment decision actually needs to be made.
The top oncologists in the world lament this in their own research papers. But they still seem convinced that it's the most promising research direction to be looking in.
What if it's not?
No amount of money, computation, or human brilliance can compensate for asking limited questions.
A potentially far more fruitful question would be in the direction of "why did *this specific human* develop cancer in the first place."
Oncology in its current form is not set up to seriously ask that question. Much less to center it.
Long post, because apparently many neither understand nor appreciate the intricacies of cancer research and think that pharmaceutical companies and regulators are holding back cures.
Your immune system is constantly surveilling your body for both self and non-self recognition. It does this by checking the proteins expressed.
If it finds something it doesn't recognize, it ramps up the inflammatory response and attacks. If it is actually non-self, great. If it is actual-self, that is autoimmune disease.
Cancer occurs when cells acquire mutations that both 1) alter cell division and 2) cloak those cells from recognition by the immune system. If the second part doesn't occur, then the immune system will recognize that something is wrong and kill the tumor when it's just a few cells.
At a high level, many modern cancer therapies are about getting the immune system to recognize the tumor and do all the work on killing it.
And yes, it's quite easy to do this. But this is where the "safe and effective" line comes in. If you're treatment just cranks up the immune response in general, you start killing the tumor AND other things.
If you give me a decent CAR-T at work, I have tools to boost it in ways that'll eliminate any realistic sized mouse tumor in 24-48 hours.
The problem is that it's just a general immune overdrive and the cells start attacking everything.
Okay, let's not send the immune system into a frenzy and just use the CAR-T, which is a T cell that has been edited with a protein that we know binds to a protein that the cancer expresses.
The hope is, if the cancer cells express X and we edit the T cells to explain anti-X, then they'll go and attack the tumor.
But this is where specificity and selectively come in.
Your body expresses thousands of different proteins. Sometimes they look very much like each other even if they are different.
Say there is a protein called XX expressed in your heart, it shares 99.9% homology (likeness) with X.
We inject X-CAR-T cells, they go and kill the tumor, everything looks great.
But a few binded to XX in the heart and started inflamming the heart wall. Not good to the point of unacceptability.
This step gets especially hard when working in animals because mice and dogs or whatever have different proteins than humans!
When we inject human tumors and human CAR-T cells into mice, they are NOT encountering the same proteins (or cytokines, hormones, other immune cells, etc.) that they would in an actual human body.
This is just a brief explanation or some of the considerations that go into oncology.
Here's another: we monitor experimental mice for max a few months. Even non-experimental mice have a lifespan of ~1.5-2 years.
Meanwhile, you want your parent/spouse/child to be in remission for 5, 10, 15+ years!
In fact, one of the main outcomes for assessing human cancer treatments is the "5-year survival rate." Mice and elderly dogs don't live for five years!!
So yes, scientists and pharmaceutical companies have tools to easily kill tumors.
What is hard is developing therapeutics that are BOTH safe AND effective in actual humans **relative** to current standards of care (e.g. a cutting edge treatment isn't "better" if it has a strong response in the first year but a lower 5-year overall survival, etc.)
And this is where regulators come in.
I expressed multiple times in the comments that I, generally, wish they weren't as risk averse and that I support "Right To Try" laws.
But you need to appreciate that regulators **are** in a DIFFICULT position.
An analogy:
It's proven that nuclear energy is by far the safest form of energy per KwH energy produced.
Yet a few high profile accidents, a couple of which didn't even kill anyone, have poisoned a large segment of the population and several nations against nuclear energy.
Even though it's safe and a reliable form of carbon-free electricity!!!
Now think about that relative to cutting edge medicines.
Perry Marshall retweeted
Replying to @PerryMarshall
Michael Levin’s greatest role in the history of science is his dismantling of materialism from within the materialist paradigm itself, effectively
revolutionizing the Academy from the inside in a way that marginalized non-materialist thinkers could not
Perry Marshall retweeted
Replying to @PerryMarshall
The story you create around the rise of AI will create more income inequality than any billionaire you blame now


























