To quote Alexis Ohanian, “Pearpop is the marketplace for brand deals for anyone with an audience. I love my agency, UTA, but the traditional agency model cannot support the breadth and diversity of internet creators. There’s no way you can have agents in an office doing all those deals, nor should you. You want a marketplace for that, and that’s what Pearpop has built."

Many of the first users were successful artists/creators who wanted smaller influencers with highly engaged followings to share their content to extend their reach and awareness.

As Pearpop has grown, brands have been drawn to its ability to execute influencer activations directly in a quick, targeted, frictionless, hyper-localized, economically attractive manner. Pearpop’s self-serve marketplace is a win/win for creators and brands because it’s as simple for brands to find creators as placing a Facebook, Google, or LinkedIn ad.

The briefs go out as a type of casting call and brands are instantly/automatically paired directly with relevant creators. Brands can accept all that apply or specify to approve each influencer before they post.

“Brands play an absolutely critical role in the Creator Economy, and technology has the power to streamline access to the most relevant creators for a brand in the same way Uber and Airbnb streamlined access to cars or home rentals. As just one example, Pearpop shrinks the average time it takes to launch an influencer program from 6 weeks to 6 hours,” said Morrison.

Another aspect creators like is how easy it is to “get found” because of both the way they’re listed in the database, and how challenges are shared.

While the “Creator Economy” is experiencing hockey stick growth, the sad reality, is only about 1% of creators earn a living from their content. Social media platforms have been the primary beneficiaries.

The Wall St. Journal reported the top 1% of streamers on Twitch earn more than half of all streamer revenue, and the majority made less than $120 each in the first 3 quarters of 2021. In spite of that, the number of creators increased 48% in 2021

Maybe one frame is through taking control of your own personal development and learning: after all “learning is the one thing your employer can’t take away from you”

Over the years we’ve seen the rise of bro-etry and cringe “thought leadership” and crying CEOs. When I scroll my feed I have to sidestep the clearly threadboi and #personalbrand engagement-farming posts and try and focus on the real content.

Networking is useful, but distasteful to many. Instead, participating in self-directed learning communities is networking

“Don’t become a marketing manager, become someone who knows how to run user research”

We might think of the shifting relationship of human beings to the natural world in the terms offered by German sociologist Gerd-Günter Voß, who has traced our movement through three different models of the “conduct of life.”

The first, and for much of human history the only conduct of life, is what he calls the traditional. Your actions within the traditional conduct of life proceed from social and familial circumstances, from what is thus handed down to you. In such a world it is reasonable for family names to be associated with trades, trades that will be passed down from father to son: Smith, Carpenter, Miller.

But the rise of the various forces that we call “modernity” led to the emergence of the strategic conduct of life: a life with a plan, with certain goals — to get into law school, to become a cosmetologist, to get a corner office.

thanks largely to totalizing technology’s formation of a world in which, to borrow a phrase from Marx and Engels, “all that is solid melts into air,” the strategic model of conduct is replaced by the situational. Instead of being systematic planners, we become agile improvisers: If the job market is bad for your college major, you turn a side hustle into a business. But because you know that your business may get disrupted by the tech industry, you don’t bother thinking long-term; your current gig might disappear at any time, but another will surely present itself, which you will assess upon its arrival.

The movement through these three forms of conduct, whatever benefits it might have, makes our relations with nature increasingly instrumental. We can see this shift more clearly when looking at our changing experience of time

Within the traditional conduct of life, it is necessary to take stewardly care of the resources required for the exercise of a craft or a profession, as these get passed on from generation to generation.

But in the progression from the traditional to the strategic to the situational conduct of life, continuity of preservation becomes less valuable than immediacy of appropriation: We need more lithium today, and merely hope to find greater reserves — or a suitable replacement — tomorrow. This revaluation has the effect of shifting the place of the natural order from something intrinsic to our practices to something extrinsic. The whole of nature becomes what economists tellingly call an externality.

The basic argument of the SCT goes like this. We live in a technopoly, a society in which powerful technologies come to dominate the people they are supposed to serve, and reshape us in their image. These technologies, therefore, might be called prescriptive (to use Franklin’s term) or manipulatory (to use Illich’s). For example, social networks promise to forge connections — but they also encourage mob rule.

all things increasingly present themselves to us as technological: we see them and treat them as what Heidegger calls a “standing reserve,” supplies in a storeroom, as it were, pieces of inventory to be ordered and conscripted, assembled and disassembled, set up and set aside

In his exceptionally ambitious book The Question Concerning Technology in China (2016) and in a series of related essays and interviews, Hui argues, as the title of his book suggests, that we go wrong when we assume that there is one question concerning technology, the question, that is universal in scope and uniform in shape. Perhaps the questions are different in Hong Kong than in the Black Forest. Similarly, the distinction Heidegger draws between ancient and modern technology — where with modern technology everything becomes a mere resource — may not universally hold.

Thesis: Technology is an anthropological universal, understood as an exteriorization of memory and the liberation of organs, as some anthropologists and philosophers of technology have formulated it; Antithesis: Technology is not anthropologically universal; it is enabled and constrained by particular cosmologies, which go beyond mere functionality or utility. Therefore, there is no one single technology, but rather multiple cosmotechnics.

I think Hui’s cosmotechnics, generously leavened with the ironic humor intrinsic to Daoism, provides a genuine Way — pun intended — beyond the limitations of the Standard Critique of Technology. I say this even though I am not a Daoist; I am, rather, a Christian. But it should be noted that Daoism is both daojiao, an organized religion, and daojia, a philosophical tradition. It is daojia that Hui advocates, which makes the wisdom of Daoism accessible and attractive to a Christian like me. Indeed, I believe that elements of daojia are profoundly consonant with Christianity, and yet underdeveloped in the Christian tradition, except in certain modes of Franciscan spirituality, for reasons too complex to get into here.

this technological Daoism as an embodiment of daojia, is accessible to people of any religious tradition or none. It provides a comprehensive and positive account of the world and one’s place in it that makes a different approach to technology more plausible and compelling. The SCT tends only to gesture in the direction of a model of human flourishing, evokes it mainly by implication, whereas Yuk Hui’s Daoist model gives an explicit and quite beautiful account.

The application of Daoist principles is most obvious, as the above exposition suggests, for “users” who would like to graduate to the status of “non-users”: those who quietly turn their attention to more holistic and convivial technologies, or who simply sit or walk contemplatively. But in the interview I quoted from earlier, Hui says, “Some have quipped that what I am speaking about is Daoist robots or organic AI” — and this needs to be more than a quip. Peter Thiel’s longstanding attempt to make everyone a disciple of René Girard is a dead end. What we need is a Daoist culture of coders, and people devoted to “action without acting” making decisions about lithium mining.

Tools that do not contribute to the Way will neither be worshipped nor despised. They will simply be left to gather dust as the people choose the tools that will guide them in the path of contentment and joy: utensils to cook food, devices to make clothes. Of course, the food of one village will differ from that of another, as will the clothing. Those who follow the Way will dwell among the “ten thousand things” of this world — what we call nature — in a certain manner that cannot be specified legally: Verse 18 of the Tao says that when virtue arises only from rules, that is a sure sign that the Way is not present and active. A cosmotechnics is a living thing, always local in the specifics of its emergence in ways that cannot be specified in advance.

It is from the ten thousand things that we learn how to live among the ten thousand things; and our choice of tools will be guided by what we have learned from that prior and foundational set of relations. This is cosmotechnics.

Multiplicity avoids the universalizing, totalizing character of technopoly. The adherents of technopoly, Hui writes, “wishfully believ[e] that the world process will stamp out differences and diversities” and thereby achieve a kind of techno-secular “theodicy,” a justification of the ways of technopoly to its human subjects. But the idea of multiple cosmotechnics is also necessary, Hui believes, in order to avoid the simply delusional attempt to find “a way out of modernity” by focusing on the indigenous or biological “Other.” An aggressive hostility to modernity and a fetishizing of pre-modernity is not the Daoist way.

“I believe that to overcome modernity without falling back into war and fascism, it is necessary to reappropriate modern technology through the renewed framework of a cosmotechnics.” His project “doesn’t refuse modern technology, but rather looks into the possibility of different technological futures.”

“Thinking rooted in the earthy virtue of place is the motor of cosmotechnics. However, for me, this discourse on locality doesn’t mean a refusal of change and of progress, or any kind of homecoming or return to traditionalism; rather, it aims at a re-appropriation of technology from the perspective of the local and a new understanding of history.”

Always Coming Home illustrates cosmotechnics in a hundred ways. Consider, for instance, information storage and retrieval. At one point we meet the archivist of the Library of the Madrone Lodge in the village of Wakwaha-na. A visitor from our world is horrified to learn that while the library gives certain texts and recordings to the City of Mind, some of their documents they simply destroy. “But that’s the point of information storage and retrieval systems! The material is kept for anyone who wants or needs it. Information is passed on — the central act of human culture.” But that is not how the librarian thinks about it. “Tangible or intangible, either you keep a thing or you give it. We find it safer to give it” — to practice “unhoarding.”

It is not information, but relation. This too is cosmotechnics.

a cosmotechnics is the point at which a way of life is realized through making. The point may be illustrated with reference to an ancient tale Hui offers, about an excellent butcher who explains to a duke what he calls the Dao, or “way,” of butchering. The reason he is a good butcher, he says, it not his mastery of a skill, or his reliance on superior tools. He is a good butcher because he understands the Dao: Through experience he has come to rely on his intuition to thrust the knife precisely where it does not cut through tendons or bones, and so his knife always stays sharp. The duke replies: “Now I know how to live.” Hui explains that “it is thus the question of ‘living,’ rather than that of technics, that is at the center of the story.”

Known as “retention editing” because of its unique ability to keep a user glued to their screen, this style features loud sound effects, fast cuts, flashing lights and zero pauses.

“It’s the Beastification of YouTube,” said Noah Kettle, co-founder of Moke Media Co., a video editing and social media monetization consultancy. MrBeast, whose real name is Jimmy Donaldson, built his reputation by creating hyper-engaging, fast-paced videos with frequent action on screen. That led smaller YouTubers and content creators to mimic his style.

Donaldson tweeted a plea to his fellow YouTubers to “get rid of the ultra fast paced/overstim era of content.” He said that in the past year, he has slowed his videos, focused more on storytelling, “let scenes breathe, yelled less” and focused on longer videos, all of which has resulted in even more views.

if content creators require fewer editing resources, it could alter the outside editing services that many content creators use.

Creating a retention edited video requires a lot of work. “Every clip in the video should be under two seconds,” said Dara Pesheva, a 17-year-old who works as a freelance video editor for social media content creators. “Every 1.3 to 1.5 seconds you have to have a new graphic or something moving, you have to [use] a lot of effects. For every image and every transition, you have to add a sound effect. You need flashing graphics, and you have to have subtitles in every video.”

TikTok has trained users to scroll away if they aren’t hooked within the first half-second, social media video editors said. This is why so many retention edited videos start with a loud bang or whoosh sound.

“People around my age can’t focus,” Pesheva said. “They have very short attention spans. They’re used to TikTok, and so editors have to adjust for Gen Z. They have to adjust to the fact that people can’t keep their attention on something for more than a second if it’s not entertaining.”

CapCut, the video editing platform owned by TikTok parent company ByteDance, allows users to add catchy sounds and special effects to their videos with just a few taps. This has allowed anyone, even children, to create videos with tons of explosions, laser effects and animated text. Replicating those same effects on older video editing tools such as Adobe Premiere or After Effects could take hours and is far more complicated.

Connor Bibow, a freelance videographer in Georgia, said that it’s no surprise retention editing works so well on channels like MrBeast’s that cater to children, because the editing format is very similar to children’s cartoons. “It’s a lot of noises and bright colors,” he said.

Thavaseelen said he began leveraging retention editing after seeing MrBeast speak about it. “MrBeast is very open and transparent with his content, and he tells people what he said,” Thavaseelen said. “He tells people you have to optimize for retention. A lot of clips he puts on short form are retention edited.”

as MrBeast has cooled on the style, experts say that other creators are already beginning to follow. “There’s been a wave of creators who have now transitioned to just making hour-and-a-half videos with just them and a whiteboard,” Kettle said, “and they’re outperforming every single video that they’ve done that was optimized for attention.”

Cicero, the Syracuse University instructor, said that YouTube, like many art forms, has different styles that define different periods. Retention editing, he said, has defined the 2020 to 2024 era, but fatigue eventually sets in.“Early on, it was very easy to blow up and become a viral hit with [this type of editing], but now it’s a lot harder,” he said. “There are these waves of different trends in editing, or in fine art, or in music, where you have these different styles. Maybe retention editing is like the impressionist period for YouTube.”

A Pivot To Video tends to arrive in stages, with each stage being more expensive and producing less interesting content as things progress. Usually it goes like this: The experimentation phase, the factory phase, and the bloat phase. A great editor I worked for during the second Pivot To Video, roughly 2013-2017, who, herself worked through the first, roughly 2003-2007, described it as a massive waste of resources that wastes more resources as it becomes clearer to everyone not directly involved how much of a waste of resources it is.

It’s a fundamental issue with video as a medium that online platforms haven’t fixed and, I suspect, never will because it makes user-generated content platforms feel more professional and consistent. Like TV. The cost to produce video content always balloons as you add more people, more tools, more structure to the workflow, pushing out smaller creators and teams. And even with the pandemic lowering the barrier of entry for making video online considerably, it’s still happening again. We’re in the bloat phase now.

MrBeast, the platform’s biggest star, is spending between $3-$5 million per video right now, up from around $200,000 a video just a few years ago. To put that absolutely outrageous number in perspective, a MrBeast video is roughly the same cost per video as any episode from the first five seasons of Game Of Thrones.

Guides last year were saying you had to capture viewers in the first three seconds. I’ve read a few guides from this year that are now saying hooking a TikTok user has to happen in the first 1.5 seconds. There’s an oft-quoted “shoeshine boy” theory of markets, usually attributed to Joe Kennedy in the late 1920s, who said that when the boy shining his shoes had stock tips, he knew the market was about to collapse. Well, here’s a similar rule for digital video: If you’re trying to optimize your video in microseconds, the video pivot is probably already over.

YouTube is laser-focused on capturing the world’s televisions. In fact, the platform’s CEO, Neal Mohan announced yesterday that the platform is adding even more features for YouTube’s TV app. And TikTok, if it’s not banned or whatever, is trying to use its massive inventory of short-form video content to prop up both a search engine and an e-commerce operation. And we haven’t even talked about Meta’s video products here. There is simply no incentive for these platforms to regress even though users seem to want them to.

Tastes are clearly changing. The Washington Post article pointed to Sam Sulek, a giant muscleman on YouTube who posts 30-minute workout vlogs with barely any editing as a possible direction this is all headed in. I tried watching one of his recent videos and I’m not even sure it has any cuts in it? It’s possible that’s what’s coming next, but it’s less certain if platforms will, or rather can, allow it. Time to find out if they know how to pivot.

Once a company becomes an industry leader, its employees, from top to bottom, start thinking defensively. Suddenly, people feel they have more to lose from challenging the status quo than upending it. As a result, one-time revolutionaries turn into reactionaries. Proof of this about-face comes when senior executives troop off to Washington or Brussels to lobby against changes that would make life easier for the new up and comers.

Years of continuous improvement produce an ultra-efficient business system—one that’s highly optimized, and also highly inflexible. Successful businesses are usually good at doing one thing, and one thing only. Over-specialization kills adaptability—but this is a tough to trap to avoid, since the defenders of the status quo will always argue that eking out another increment of efficiency is a safer bet than striking out in a new direction.

Long-tenured executives develop a deep base of industry experience and find it hard to question cherished beliefs. In successful companies, managers usually have a fine-grained view of “how the industry works,” and tend to discount data that would challenge their assumptions. Over time, mental models become hard-wired—a fact that makes industry stalwarts vulnerable to new rules. This risk is magnified when senior executives dominate internal conversations about future strategy and direction.

With success comes bulk—more employees, more cash and more market power. Trouble is, a resource advantage tends to make executives intellectually lazy—they start believing that success comes from outspending one’s rivals rather than from outthinking them. In practice, superior resources seldom defeat a superior strategy. So when resources start substituting for creativity, it’s time to short the shares.

One quick suggestion: Treat every belief you have about your business as nothing more than a hypothesis, forever open to disconfirmation. Being paranoid is good, becoming skeptical about your own beliefs is better.

Emmy mainstays like “The Marvelous Mrs. Maisel,” “Better Call Saul” and “Succession” have all ended their runs, and the newer Emmy parvenus, such as the comedies “Abbott Elementary” and “Jury Duty,” while excellent, harken back to an earlier, mass-market era of television that was dominated by sitcoms and hourlong procedurals.

This sort of audience divide, not between those who love a show and those who hate it but between those who love it in very different ways, has become a familiar schism in the past fifteen years, during the rise of—oh, God, that phrase again—Golden Age television. This is particularly true of the much lauded stream of cable “dark dramas,” whose protagonists shimmer between the repulsive and the magnetic. As anyone who has ever read the comments on a recap can tell you, there has always been a less ambivalent way of regarding an antihero: as a hero

a subset of viewers cheered for Walter White on “Breaking Bad,” growling threats at anyone who nagged him to stop selling meth. In a blog post about that brilliant series, I labelled these viewers “bad fans,” and the responses I got made me feel as if I’d poured a bucket of oil onto a flame war from the parapets of my snobby critical castle. Truthfully, my haters had a point: who wants to hear that they’re watching something wrong?

Some of the topics I touch on: Why I believe Vision Pro may be an over-engineered “devkit” The genius & audacity behind some of Apple’s hardware decisions Gaze & pinch is an incredible UI superpower and major industry ah-ha moment Why the Vision Pro software/content story is so dull and unimaginative Why most people won’t use Vision Pro for watching TV/movies Apple’s bet in immersive video is a total game-changer for live sports Why I returned my Vision Pro… and my Top 10 wishlist to reconsider Apple’s VR debut is the best thing that ever happened to Oculus/Meta My unsolicited product advice to Meta for Quest Pro 2 and beyond

Apple really played it safe in the design of this first VR product by over-engineering it. For starters, Vision Pro ships with more sensors than what’s likely necessary to deliver Apple’s intended experience. This is typical in a first-generation product that’s been under development for so many years. It makes Vision Pro start to feel like a devkit.

A sensor party: 6 tracking cameras, 2 passthrough cameras, 2 depth sensors(plus 4 eye-tracking cameras not shown)

it’s easy to understand two particularly important decisions Apple made for the Vision Pro launch: Designing an incredible in-store Vision Pro demo experience, with the primary goal of getting as many people as possible to experience the magic of VR through Apple’s lenses — most of whom have no intention to even consider a $4,000 purchase. The demo is only secondarily focused on actually selling Vision Pro headsets. Launching an iconic woven strap that photographs beautifully even though this strap simply isn’t comfortable enough for the vast majority of head shapes. It’s easy to conclude that this decision paid off because nearly every bit of media coverage (including and especially third-party reviews on YouTube) uses the woven strap despite the fact that it’s less comfortable than the dual loop strap that’s “hidden in the box”.

Apple’s relentless and uncompromising hardware insanity is largely what made it possible for such a high-res display to exist in a VR headset, and it’s clear that this product couldn’t possibly have launched much sooner than 2024 for one simple limiting factor — the maturity of micro-OLED displays plus the existence of power-efficient chipsets that can deliver the heavy compute required to drive this kind of display (i.e. the M2).

The “hard tech” in AI are the LLMs available for rent from OpenAI, Anthropic, Cohere, and others, or available as open source with Llama, Bloom, Mistral and others. The hard-tech is a level playing field; startups do not have an advantage over incumbents.

There can be differentiation in prompt engineering, problem break-down, use of vector databases, and more. However, this isn’t something where startups have an edge, such as being willing to take more risks or be more creative. At best, it is neutral; certainly not an advantage.

This doesn’t mean it’s impossible for a startup to succeed; surely many will. It means that you need a strategy that creates differentiation and distribution, even more quickly and dramatically than is normally required

Whether you’re training existing models, developing models from scratch, or simply testing theories, high-quality data is crucial. Incumbents have the data because they have the customers. They can immediately leverage customers’ data to train models and tune algorithms, so long as they maintain secrecy and privacy.

Intercom’s AI strategy is built on the foundation of hundreds of millions of customer interactions. This gives them an advantage over a newcomer developing a chatbot from scratch. Similarly, Google has an advantage in AI video because they own the entire YouTube library. GitHub has an advantage with Copilot because they trained their AI on their vast code repository (including changes, with human-written explanations of the changes).

While there will always be individuals preferring the startup environment, the allure of working on AI at an incumbent is equally strong for many, especially pure computer and data scientsts who, more than anything else, want to work on interesting AI projects. They get to work in the code, with a large budget, with all the data, with above-market compensation, and a built-in large customer base that will enjoy the fruits of their labor, all without having to do sales, marketing, tech support, accounting, raising money, or anything else that isn’t the pure joy of writing interesting code. This is heaven for many.

A chatbot is in the chatbot market, and an SEO tool is in the SEO market. Adding AI to those tools is obviously a good idea; indeed companies who fail to add AI will likely become irrelevant in the long run. Thus we see that “AI” is a new tool for developing within existing markets, not itself a new market (except for actual hard-tech AI companies).

AI is in the solution-space, not the problem-space, as we say in product management. The customer problem you’re solving is still the same as ever. The problem a chatbot is solving is the same as ever: Talk to customers 24/7 in any language. AI enables completely new solutions that none of us were imagining a few years ago; that’s what’s so exciting and truly transformative. However, the customer problems remain the same, even though the solutions are different

Companies will pay more for chatbots where the AI is excellent, more support contacts are deferred from reaching a human, more languages are supported, and more kinds of questions can be answered, so existing chatbot customers might pay more, which grows the market. Furthermore, some companies who previously (rightly) saw chatbots as a terrible customer experience, will change their mind with sufficiently good AI, and will enter the chatbot market, which again grows that market.

the right way to analyze this is not to say “the AI market is big and growing” but rather: “Here is how AI will transform this existing market.” And then: “Here’s how we fit into that growth.”

Strong technologies capture the imaginations of technology enthusiasts. That is why many important technologies start out as weekend hobbies. Enthusiasts vote with their time, and, unlike most of the business world, have long-term horizons. They build from first principles, making full use of the available resources to design technologies as they ought to exist.

Thinking in dialogue is easier and more entertaining than struggling with feelings, letters, grammar and style all by ourselves. Using AI as a writing dialogue partner, ChatGPT can become a catalyst for clarifying what we want to say. Even if it is wrong.6 Sometimes we need to hear what’s wrong to understand what’s right.

Seeing in clear text what is wrong or, at least, what we don’t mean can help us set our minds straight about what we really mean. If you get stuck, you can also simply let it ask you questions. If you don’t know how to improve, you can tell it to be evil in its critique of your writing

Just compare usage with AI to how we dealt with similar issues before AI. Discussing our writing with others is a general practice and regarded as universally helpful; honest writers honor and credit their discussion partners We already use spell checkers and grammar tools It’s common practice to use human editors for substantial or minor copy editing of our public writing Clearly, using dictionaries and thesauri to find the right expression is not a crime

Using AI in the editor replaces thinking. Using AI in dialogue increases thinking. Now, how can connect the editor and the chat window without making a mess? Is there a way to keep human and artificial text apart?

Hassabis pointed to the example of AlphaFold, DeepMind’s machine-learning system that had predicted the structures of 200mn proteins, creating an invaluable resource for medical researchers. Previously, it had taken one PhD student up to five years to model just one protein structure. DeepMind calculated that AlphaFold had therefore saved the equivalent of almost 1bn years of research time.

DeepMind, and others, are also using AI to create new materials, discover new drugs, solve mathematical conjectures, forecast the weather more accurately and improve the efficiency of experimental nuclear fusion reactors. Researchers have been using AI to expand emerging scientific fields, such as bioacoustics, that could one day enable us to understand and communicate with other species, such as whales, elephants and bats.

even more important, many advocates argue, is how the two reforms together can change how candidates and elected officials of all stripes approach their jobs, by adjusting the incentive structure they operate under. Increasingly, many states and districts are solidly red or blue, meaning the general election is uncompetitive, and the key race takes place in the primary. That’s a problem, because the primary electorate is by and large smaller, more partisan and more extreme than the general electorate. Right now, with politicians worrying more about the primary than the general, they’re more focused on playing to their base than on reaching beyond it and solving problems, critics argue.

By allowing multiple candidates to advance, Final Four/Five shifts the crucial election from the primary to the general. And RCV means the votes of Democrats in red districts and Republicans in blue ones still matter, even if their top choice remains unlikely to win. Together, it means candidates are rewarded for paying attention to the entire general electorate, not just a small slice of staunch supporters. As a result, it encourages candidates — and elected officials, once in office — toward moderation and problem-solving, and away from extremism.