The Memory Maker

I work in AI and I can assure you these technologies are not magic but just tools with immense flaws and limitations.

I am a human being and I can assure you that I am an organic entity with abilities handed down to me from millions of years of evolution but nevertheless I am an organic entity with immense flaws and limitations.

The core issue which we are embarking into this century is that the people want to monetize these simple AI technologies by just tapping into my evolutionary flaws and limitations and amplify it, 

If you are intelligent and aware then you can use these tools enhance your prefrontal cortex and without giving a dime nor data to the assholes in silicon valley. Only if you are aware… 

A very good piece by Tim Requarth: The Memory Maker

To understand why we’re so susceptible to false memories requires understanding that the brain doesn’t store memories the way a phone stores photos. When you live through something, your hippocampus— a deep brain structure vaguely shaped like a seahorse—encodes that experience by binding together its constituent pieces: what you saw, what you heard, where you were, how you felt. That bound-together pattern is the memory. Over hours and days, the hippocampus replays these patterns, perhaps while you sleep, gradually strengthening their hold in the cortex, in a process called consolidation. What makes these memories so unlike phone storage, and especially relevant here, is that recalling a memory means the brain must partially relive it. The brain recalls by reactivating some of the same sensory and spatial patterns that were present during the original experience. Your brain doesn’t access a stable, static stored memory of yourself at that summer picnic in the park; your brain recreates it by activating some of the same neural circuitry that fired when you were actually squinting in the sun, actually wiggling your toes in the warmed grass. During recall, it fires again, faintly.

The beauty of memory, not as a static storage bank but as a dynamic process of on-demand re-creation, is that it’s efficient. You can access a tremendous amount of information about your past without having to dedicate special storage space to your personal archive. But that efficiency comes with risks. Each time you replay and reconsolidate a memory, it can subtly change. Other things you’re thinking about during recall, how you feel while recalling it, other, similar memories that activate similar patterns of neurons, these can mix and mingle and, ultimately, change the reconsolidation of the original memory itself. And once changed, it doesn’t revert because there is no gold-standard stored version. There is only the latest replay. And because memories are, essentially, reactivations of specific patterns of sensory and other neural activity, that means that sensory patterns alone can get consolidated as memories. This is a false memory. And a false memory, once seeded, benefits from the same machinery as real ones. And the brain’s fact-checker, the prefrontal cortex, arrives late to the scene: the reactivation of sensory and other neural pathways is already underway, the memory reconstruction already in progress, before any evaluation of whether the memory is genuine even begins.

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Piech’s experience suggests that Sora videos could activate spatial memory, meaning that Sora videos also tripped up the brain’s more fundamental systems for sorting real from imagined. “Although it may be disconcerting to contemplate,” as cognitive psychologist Marcia K. Johnson wrote in a 2006 paper, “true and false memories arise in the same way. Memories are attributions that we make about our mental experiences based on their subjective qualities, our prior knowledge and beliefs, our motives and goals, and the social context.” Johnson’s work on source monitoring, which is the brain’s process for sorting reality from imagination, revealed there’s no tag, no stamp in the brain that says this actually happened. Instead, a scene’s qualities during recall—how vivid it is, how spatially coherent, whether it arrives unbidden or requires effort to reconstruct—are what make it feel real or imagined. Memories of actual events are usually richer, more embedded in space and context. Imagined scenes, or recollections of scenes from movies, tend to feel thinner, more schematic. But the distributions overlap, and the brain relies on these imperfect cues to sort memory from imagination.

The trouble is that these cues can mislead. If remembering a synthetic experience activates the brain just widely enough—rich perceptual detail, spatial depth, the feeling of having been somewhere, of having been with someone—it stops registering as fantasy and starts registering as memory. Piech’s recollection of Sora generations were arriving with enough of those qualities to blur the distinction.

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One potential consequence is how these tools could shape identity, at scale. I was particularly taken by a term Deutsch coined: propagandi, or propaganda directed at yourself. If propaganda works by shaping collective memory, propagandi is more atomized, more intimate. You’re the propagandist and the mark, constructing a version of yourself that doesn’t exist, for an audience of one. I called Northwestern University psychologist Dan McAdams to help me stress-test Deutsch’s speculation. McAdams developed the influential concept of narrative identity—the idea that identity is built from autobiographical memories, that the self you’ll be tomorrow is constructed from the memories you have today. Contaminate the memories, and the identity may shift. When I described what Sora users like Deutsch were experiencing, McAdams said he hadn’t heard of the phenomenon yet, “but a moment’s reflection suggests that it is inevitable.” These AI videos could “ultimately be encoded and reworked as ‘things that happened to me,’ and then perhaps ‘important things that happened to me that are now part of my life story.’” Propagandi, in other words, isn’t just a clever coinage. It names a mechanism for rewriting who you are.

A hopeful read isn’t hard to find. Piech made a K-pop dance video of herself, fluid and confident, moving in ways she can’t. After watching it a few times, she told me, she started to feel like maybe she actually could. Athletes have used visualization for decades; maybe Sora was just a more vivid format. Therapists working with trauma have long known that memory can be beneficially malleable; perhaps tools like Sora, carefully deployed, could help people revise the scenes that haunt them. 

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But something else was nagging at me, in addition to the potential psychological consequences: Even something as intimate as autobiographical memory doesn’t form in isolation. It’s fundamentally social. In a process scientists endearingly call maternal reminiscing, children learn to shape experience into story through dialogue with caregivers, a process that continues throughout life: the friend who leans in or looks skeptical, the partner who remembers it differently, the listener who asks a question that reframes the whole event. Even the distraction level of the listener can affect how well we remember our own memories. In one experiment, a psychologist had participants tell a story to a friend who was secretly distracted. A month later, the speakers remembered their own experience less well simply because of how a listener behaved during their retelling of it. The attentive listener isn’t just receiving the memory; they’re helping to construct it.

Now imagine referencing something your friend doesn’t share, because it never happened. The blank look. The awkward silence. You might question yourself, wondering if you imagined it. You might question them. Or you might learn to stop bringing it up altogether, retreating from actual human social interaction to more AI simulacra of human social interactions, which never push back, which always affirm. The false memory, born in isolation, produces isolation again when it enters conversation.

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Some nights after our son is asleep, my wife and I sit on the couch and reconstruct the day for each other. What he said at breakfast, the weird thing he did with his yogurt spoon, whether the stalling tactics at bedtime were really that outlandish or whether we were both just tired. Sometimes we seem to disagree on the details, even if we were both there. She’ll point out something I didn’t notice, or I’ll interpret something we both noticed differently, or she’ll add a layer of interpretation by connecting his actions to similar actions the day before. The narrative shifts a little, adjusts a little to accommodate both of us, and by the time we’ve moved on we both begin to consolidate memories of something neither of us quite experienced—which, in the end, is the uncomfortable truth: Memory and experience are not synonymous. I used to think of this process as more akin to fact-checking, of sifting fact from embellishment, reality from interpretation. But it’s not quite that. It’s something more meaningful than checking facts: sitting there, remembering them together.

Morel Mushrooms - The Last Incorruptible Thing!

The morel is the Last Incorruptible Thing. You cannot plant them. You cannot buy them in stores. You can only spot them in the wild. Morels demand complete surrender to nature’s whims. They grow for three to four weeks each spring, and no one knows when or where. They pop up like middle fingers to corporate control.

Morels encourage revolt against the digital panopticon. No self-respecting morel hunter posts their hot spots online or reveals their finds in real time. Morels cannot be recorded by Ring or tracked by GPS. They are immune from AI chicanery. Make an AI morel and watch no one care: digital tricks hold no power here. Morel hunters guard their secrets in the analog world: in the depths of the forests and the recesses of their minds. Morels are escape artists, and you escape with them.

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A proper morel hunt requires that you walk the woods for hours with eyes to the ground. The outside world fades into irrelevance, a distant realm of misplaced priorities like mortgages and jobs. In the real world, the morel world, you seek loamy soil, south-facing slopes, fallen sycamores. You go slow. You dodge branches and climb creek beds. You take nothing for granted.

With this knowledge, you learn not only the mushroom but the land. What you can grasp from the crunch of a leaf or the rise of a flower. You sense when the season is starting and when it’s getting too late. You know that you could be wrong, and that being wrong is the most pleasant surprise of all.

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Did I actually find morels in these places? Shit if I’d tell!

I got scratched, bruised, bloodied, and sore, but never bored. My thoughts stayed captive to the forest floor. When grief ripped through me, I retraced my steps, wondering if I’d missed one, and often I had. That’s the mercy of morels: they are reticent by nature, and when they reveal themselves to you upon your return, it’s like getting the do-over you don’t get in life.

Live fast, die young, leave a good-tasting corpse. Morels aren’t meant to last, so you can’t mourn them when they’re gone.

- More Here

Cells vs. Neurons - Wisdom Of Michael Levin

Michael Levin agrees with the plant neurobiologists that neurons are overrated, and that other cells can do what neurons do, just more slowly. ‘Whenever I’m at a conference with neuroscientists, I like to ask them to define a neuron,’ he told me. ‘They list maybe five things neurons can do, and I point out that every cell in the body can do those things.’ By which he means, and has demonstrated, that all cells can communicate (both electrically and chemically), form networks, and store information. ‘I’m not denigrating neuroscience,’ he said. ‘I’m saying neuroscience is widely applicable way beyond neurons. Neuroscience is no more about neurons than computer science is about your laptop.’ The term ‘plant neurobiology’ does not offend him.

- Michael Pollan (via Tim)

Culture - The Word That Fucked Up Our Species

I have written so many times about how almost all atrocities committed against our fellow animal family members is not considered immoral since people take umbrage behind the fucked up excuses of “culture”. 

People use culture to macro bullshit and not focus on micro morality which is precious for life on earth. 

Alex Nowrasteh’s wonderful piece is looking at this monster at a different angle. Different angle but same monster. 

The cleanest test is the divided-country natural experiment. North Korea and South Korea share a language, ethnicity, history, and culture up to 1945. One is among the richest countries on earth, the other among the poorest. East and West Germany diverged dramatically under different institutions and converged after reunification. Mainland China stagnated under Mao while Taiwan, Singapore, and Hong Kong prospered, all four sharing Chinese culture. In every case, the culture was identical on both sides of the border. The incentives, shaped by the institutions, are what changed. The outcome followed the institution, not the culture. Untangling causality is difficult, sometimes impossible, but that’s no reason to embrace a false explanation like “the culture made them do it.”

At its root, the culture discourse is anti-intellectual. Culture is a faux explanation for social behavior and outcomes that have real explanations. Think harder. Use AI to search the literature if you have to because other researchers have probably already written about the issue you claim is just caused by culture. The cultural explanation is the one you reach for when you’ve decided the search isn’t worth your time. Better to remain quiet if culture is the only explanation you’ve got. Here are some examples.

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If a country is poor because of its culture, nobody has to examine the bad incentives facing members of that society. Intellectual laziness explains the rest. Finding the price, the constraint, the institutional mechanism that creates an incentive is hard, but invoking culture as if it’s a magical exogenous decider lets you stop searching. Cultural explanations are cheap to produce, requiring only anecdotes rather than data, prices, or evidence. It feels like an answer because it has the grammatical structure of one. “Japanese people ride trains because of their culture” masquerades as an explanation, but it’s just a tautology.

Culture is endogenous to everything. Claiming culture causes an outcome without first ruling out that the outcome’s causes also produced the culture is circular reasoning. Every cultural explanation must first survive a price, incentive, and institutional audit. Few of them do, but those that do are extraordinary findings, which is perhaps another explanation why so many claim it. Nobody would let economists get away with explaining a recession of high unemployment with the explanation, “It’s the economy.” We shouldn’t let others get away with the equally lazy non-explanation of “it’s the culture.”

 

Animal Research Doesn’t Need Better Messaging. It Needs an Exit Strategy

The problem is not poor communication by researchers, but systemic lack of transparency and accountability in animal labs. You cannot whitewash an industry that is fraught with infractions that clearly document negligence and abuse of animals in labs.

Industry defenders claim that animal research is “heavily regulated.” In reality, oversight is largely dependent on self-policing. The cornerstone of federal oversight is built on voluntary compliance through an “assurance” document submitted by the laboratory. Once this is approved, the federal oversight agency “grants considerable authority to institutions for self-regulation.” Compounding this problem, inspections by federal authorities are infrequent, often occurring only once every few years and are typically announced in advance.

Meanwhile, the vast majority of animals used in experiments—by most estimates numbering over 100 million mice—are not even covered under the US Animal Welfare Act. Internal oversight bodies, known as the Institutional Animal Care and Use Committees, are embedded within the very institutions they regulate, creating inherent conflicts of interest.

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Another common claim is that critics rely on outdated information. But delays in public awareness are largely a product of the system’s opacity. Accessing records requires the filing of formal public records requests that can take months or longer to process. Even official databases lag behind real-time conditions, when they are even available. What is perceived as “old news” is often simply the first moment the public is allowed to learn what has already occurred.

Perhaps the most striking attempt to downplay these issues is the comparison of laboratory violations to incident reports at daycare centers. The analogy collapses under even minimal scrutiny. The harms documented in research facilities—botched surgical procedures, burns, dehydration, strangulation, and fatal injuries—bear no resemblance to childcare incidents.

Even basic “housekeeping” standards are not consistently met in labs. Animals have died due to overheating, drowning, exposure, and unsafe enclosures. In one recent case, dozens of rabbits drowned in preventable accidents. These are not edge cases; they are part of a documented pattern that raises serious questions about the system’s ability to safeguard even minimal welfare.

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More importantly, the conversation should not stop at reform. Increasingly, scientific and regulatory communities are investing in alternatives that do not rely on animal use. Emerging methods like organ-on-chip technologies, in silico studies, advanced cell cultures, and more are now being prioritized by the US FDA and NIH for their ability to deliver human-relevant outcomes. These innovations did not emerge from efforts to defend the status quo, but from recognition that better approaches are both possible and necessary.

Animal research does not need a more effective communication strategy to explain away its problems. It needs a plan to move beyond them. With over 90 percent of animal experiments failing to produce meaningful results for human health, this is a system that is seriously underperforming because it is scientifically unsound. Add to that the failed oversight of millions more animals that can be reasonably cared for, and you have an industry that no amount of reframing can improve. The question is not whether the industry communicates the right message. It is whether the system, as it currently exists, can be justified at all.

- More Here

Fuck… thank god for Max otherwise I wouldn’t have lived with these miserable sapiens and hence probably for past 15 years I haven’t taken a single pill nor been to a doctor. 

Derek Parfit - What Is The Impact Of Thousands Of Small Environmental Or Personal Abuses Over Time?

One particular example I’ve always liked (especially since as a kid I had similar thoughts) provides a vivid illustration of the psychology underlying the dismissal of global warming. It shows that the consequences of our decisions need not occur in the distant future for us to discount them. They can occur out of sight or after so many steps as to seem distant. The example (embroidered a bit here) appears in Derek Parfit’s book “Reasons and Persons,” where he discusses the case of a man strapped to a hospital bed, say by a psychopath, in some indeterminate place with electrodes attached to his heart. Rotation of a dial on the other side of the world minusculely and imperceptibly increases the current in the electrodes and the stress on the man’s heart.

Perhaps a free piece of candy, a pleasant buzz, and a snapshot with the dial are on offer from a mysterious donor as an incentive to anyone in the distant location who twists the dial. Assuming it takes 10,000 people, each rotating the dial once to electrocute the victim, what degree of guilt, if any, do we assign to each individual dial-twister? After all, none of the dial-twisters know the poor man in question nor have they ever been in his part of the world. They might well doubt there is such a man if the situation isn’t clearly communicated to them or if it is ridiculed by a few influential people. Whatever their excuses, however, they are likely to be at least vaguely aware of rumors about the situation. How then do we deposit all these tiny bits of personal guilt into some moral bank account to save the victim. Or do we just shrug and dismiss the significant probability of ordinary indifferent people killing the distant stranger?

The real question of course is, What is the impact of thousands of small environmental or personal abuses over time? In the context of this rather morbid tale of a psychopath, most environmentalists would probably opt to stop rotating the dial or at least to rotate it very infrequently. 

- More Here

Curiosity Is No Solo Act

The Foucauldian assumption that networks of information precondition ways of thinking, doing, and being has an ancient, rich, and still robust precedent in Indigenous philosophy. Rooted in the wisdom that everything that exists is connected to everything else, Indigenous philosophy foregrounds the vast and complex system of relational networks. While Western philosophy, especially post-Enlightenment, has typically emphasized the individual nodes of knowers and knowns, Indigenous philosophy has consistently contributed to a thinking on the edge, or edgework. (It is not insignificant that the English language is 70 percent nouns, while Potawatomi is 70 percent verbs. Or that Western settlers conceptualize land as private property and commodity capital, while Indigenous peoples understand it as a connective tissue in a larger gift economy.) The difference in ethos between piecemeal and of a piece with could not be more pronounced.

In an Indigenous onto-epistemology, one is always coming to know in intimate relationship with other knowers, including not only community members, but also all the components of the earth itself. In “Braiding Sweetgrass,” Potawatomi botanist Robin Wall Kimmerer tells the story of her own Indigenous curiosity. Growing up surrounded by “shoeboxes of seeds and piles of pressed leaves,” she knew the plants had chosen her. Declaring a botany major in college, she soon learned to stockpile taxonomic names and functional facts, all while letting her capacities to attend to energetic relationships fall into disuse. It was not until rekindling her connections with Indigenous communities — and specifically Indigenous scientists — that she remembered how “intimacy gives us a different way of seeing.” Her scholarship and outreach are now focused on honoring this ray of scientific and social wisdom.

What is perhaps most distinctive about Indigenous philosophy is its imbrication of a relational cosmology with a relational epistemology. At the heart of this worldview is “the eternal convergence of the world within any one thing,” writes Carl Mika, such that “one thing is never alone and all things actively construct and compose it.” From this perspective of deep holism, talk of knowing any one thing is “minimally useful.” As such, knowledge is not properly propositional but instead procedural; it is less concerned with knowing what than with knowing how. And its wisdom lies in “sharing” more than “stating.”

- More Here

The Social Edge of Intelligence

If AI capability depends on the social complexity of human language production—and if AI deployment systematically reduces that complexity through cognitive offloading, homogenization of creative output, and the elimination of interaction-dense work—then the technology is gradually undermining the conditions for its own advancement. Its successes, rather than failures, create a spiral: a slow attenuation of the very substrate it feeds on, spelling doom.

This is the Social Edge Paradox, and the intellectual tradition it draws from is older and more interdisciplinary than most AI commentary acknowledges.

Michael Tomasello’s evolutionary research establishes that human cognition diverged from other primates by a process other than superior individual processing power. The real impetus came through the capacity for collaborative activity with shared goals and complementary roles. He argues that even private thought is “fundamentally dialogic and social” in structure—an internalization of interaction patterns. Autonomous neural capacity is far from enough to account for the abilities of human thought.

Robin Dunbar’s social brain hypothesis quantifies the link: neocortex ratios predict social group size across primates; language evolved as a mechanism for managing relationships at scales too large for grooming. Two-thirds of conversation is social, relational, reputational. Language is often mistaken as an information pipe, but it is really a social coordination technology.

My own position is that collective intent engineering, found in forms as familiar as simple brainstorming, accounts for most frontier cognitive expansion. The intelligent algorithms of today have not been built with this critical function in mind.

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The AI industry is telling a story about the future of work that goes roughly like this: automate what can be automated, augment what remains, and trust that the productivity gains will compound into a wealthier, more efficient world.

The Social Edge Framework tells a different story. It says: the intelligence we are automating was never ours alone. It was forged in conversation, argument, institutional friction, and collaborative struggle. It lives in the spaces between people, and it shows up in AI capabilities only because those spaces were rich enough to leave linguistic traces worth learning from.

Every time a company automates an entry-level role, it saves a salary and loses a learning curve, unless it compensates. Every time a knowledge worker delegates a draft to an AI without engaging critically, the statistical thinning of the organizational record advances by an imperceptible increment. Every time an organization mistakes polished output for strategic progress, it consumes cognitive surplus without generating new knowledge.

None of these individual acts is catastrophic. However, their compound effect may be.

The organizations that will thrive in the next decade are not those with the highest AI utilization rates. They are those that understand something the epoch-chaining thought experiment makes vivid: that AI’s capabilities are an inheritance from the complexity of human social life. And inheritances, if consumed without reinvestment, eventually run out. This is particularly critical as AI becomes heavily customized for our organizational culture.

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The Social Edge is more than a metaphor. It is the literal boundary between what AI can do well and what it will keep struggling with due to fundamental internal contradictions. Furthermore, the framework asks us all to pay attention to how the very investment thesis behind AI also contains the seeds of its own failure. And it reminds leaders that AI’s frontier today is set by the richness of the social world that produced the data it learned from.

- More Here

The Rise And Fall Of ‘Petty Tyrants’

Petty tyrants are more focused on personal victories than on national priorities. The good news is that they carry within them the seeds of their own destruction. Once we understand their common flaws, it becomes apparent why they eventually fall rapidly from power and leave few changes to government that last. Understanding this pattern can help us recognize a critical feature that distinguishes leaders who damage their nations from those who create lasting good: their relationship to truth.

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One of the worst mistakes the opposition can make is extending contempt for the tyrant into contempt for the tyrant’s supporters. Most of these supporters sincerely believed that the tyrant would be more likely to solve their problems — often real grievances that the opposition had failed to address. Blaming the supporters denies the reality of the failures and reinforces their support for the tyrant. 

As Napoleon consolidated his power, his critics described the farmers who supported him as “a sack of potatoes” and Parisian workers as having “their minds crammed with vain theories and visionary hopes.” This attitude of condescension made it easier for Napoleon to position his opposition as arrogant elites and himself as the champion of ordinary people.

When the opposition makes it socially acceptable to show contempt for anyone who disagrees, they cooperate with the tyrant in creating a cycle of divisiveness that distracts from reality. That cycle sustains the tyrant’s hold on power. 

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Once they had disabled democracy, these tyrants managed to hold onto power long after their popularity faded. Even removing the tyrant was not a guarantee of short-term success. In the Philippines, democracy has still not fully recovered.

It is much easier to stop the rise of a tyrant than to accelerate their fall. It would have been far better for each nation if the leaders of the opposition had learned from their failures, postponed their short-term ambitions and concentrated on preserving the democracy.

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The legacies of these truth-based leaders have long outlived the leaders themselves, and they continue to benefit us in the 21st century. Bismarck’s social safety nets are still thriving in Germany, and they have been widely copied. Singapore is now a prosperous nation, and a Singaporean passport will get you visa-free entry into more countries than any other. Roosevelt’s Social Security is so successful that politicians on both sides of the aisle now compete to take credit for protecting it.

Look at what endures from these six stories: not the propaganda, the posters and parades, but the institutions that continue to serve their nations decade after decade. The children who are healthy and literate. The elderly and disabled who live in security and dignity. The deposits, safe in the bank. The honest civil services that provide real protections and solve real problems. These are the legacies that matter.

- More Here

Golden Retriever Lifetime Study - Update From Morris Animal Foundation

Got this poignant email from Morris Animal Foundation today: 

As we approach the 15th year of the Golden Retriever Lifetime Study, we are entering a new, exciting stage every pet owner will appreciate. To date, 386 of our dogs have lived to age 13 or older, including three who have reached the remarkable milestone of 15 years. As a lifelong golden retriever owner, it warms my heart to see these dogs thrive. As a veterinarian and epidemiologist, I am eager to leverage this unique dataset to understand what sets these “super-seniors” apart. After all, that is our ultimate goal: we don’t just want dogs to avoid cancer, we want dogs that remain healthy and vibrant well into their golden years.

To capture the shifting challenges these dogs may face as they age, the Study utilizes supplemental surveys that participants can opt into every six months. These provide vital data on mobility and cognition. This initiative began when most dogs in the Study were approximately 8 years old and is rapidly becoming a robust dataset that will aid researchers for decades. Current research suggests dogs fall into two categories: "cognitive maintainers" and "cognitive decliners." Our data is uniquely positioned to help us identify the specific factors that contribute to prolonged cognitive health.

Because the Golden Retriever Lifetime Study is longitudinal, scientific interest has accelerated alongside the Study’s progress. While we have sadly said goodbye to 1,780 heroes, the information they contributed from puppyhood onward is of historic importance. As I write this, more than 100 studies have leveraged our data to investigate a wide variety of health topics. We recently closed our annual call for canine research proposals, and of the 142 pre-proposals submitted, 21 plan to incorporate Study data.

While the Study’s evolution into aging is exciting, our primary objective — to make progress against canine cancer — remains unchanged. The Foundation recently invested in two cancer studies that showed promising initial results. Both successfully identified genetic regions related to hemangiosarcoma and histiocytic sarcoma, respectively. Researchers are now building on these findings using Study data, which could lead to life-saving genetic tests. These are just two examples of the many promising studies currently underway that have the potential to change the future of canine health.

From all of us at Morris Animal Foundation, thank you for making this work possible and supporting the research that will help dogs run, play and be with us to create more memories well into their golden years.

Please keep up the good work; your team will always have wishes from Max and I.  

I said this when Max had cancer and I am saying this now - a lot of insights will come from this study and the Dog Aging Project which will help Sapiens although my moronic species refuse to give data. 

Researchers need a lot of data from healthy people to understand what it looks like not having cancer - a fundamental machine learning common sense.