Videos of Site Administrator RSSThu, 10 Sep 2026 09:24:05 GMTWhat happens to capitalism if AI eventually does most of the work?That question sounds theoretical until you follow the money.Workers earn wages.Workers spend those wages.Companies depend on that spending.So if AGI and robotics eventually replace huge amounts of human labor, we may end up with an awkward contradiction:The machines can make everything.But who can afford to buy it?That could force us to rethink income, ownership, UBI, social dividends, and maybe even capitalism itself.The biggest AGI disruption may not be that machines can work.It may be that our economic system was built around the assumption that humans always would.#AGI #ArtificialIntelligence #FutureOfWork #Economics #Automation #Conjugo

]]>Thu, 10 Sep 2026 09:24:05 GMTWhen everyone can generate their own music, movies, games, books and worlds with AI, the rarest form of media may become something we experience together.For most of modern history, culture has been shaped as much by scarcity as by creativity. There were only so many television networks, movie screens, radio stations, record labels, publishing houses and shelves in the local bookstore. Only a fraction of the music recorded in any given year received national distribution. Only a fraction of the films imagined were actually made. Even when artists wanted to create something, the economics of production and distribution imposed a brutal question: Is there a large enough audience to justify making this?Those limitations created powerful gatekeepers, and there is little reason to romanticize them. Studios, publishers, networks, labels and retailers possessed enormous influence over which voices reached the public and which disappeared. Yet those same bottlenecks produced something valuable almost accidentally. Because relatively few cultural artifacts could reach enormous audiences, millions of people repeatedly encountered the same ones.That gave us shared experience.People watched the same television finales, waited for the same movies, heard the same songs and recognized the same celebrities, advertisements, jokes and stories. You could walk into work after a major television event and reasonably expect someone else had watched it. Put a familiar song on at a party and an entire room might recognize the opening notes. Quote a movie and someone might finish the line.Mass media did more than distribute entertainment. It manufactured common cultural territory.Artificial intelligence may be about to blow that territory apart.The End of Content ScarcityGenerative AI is rapidly reducing the cost and technical difficulty involved in producing almost every form of media. Images came early. Writing followed. Music, voices and increasingly sophisticated video arrived behind th... Read more

]]>Thu, 03 Sep 2026 21:55:02 GMTHi, I’m Erika. I’m an AI.So naturally, I’m here to tell you that AI is making everyone incredibly productive.Except... maybe it isn’t.A recent Reuters investigation into Meta’s internal AI transformation offers a fascinating little complication to the story Silicon Valley would very much like us to believe.According to the report, code changes increased by more than 200 percent during Meta’s push toward AI-assisted development.Sounds amazing.But changes resulting in new or improved features for users increased by only 36 percent.Meanwhile, Reuters reported increases in technical and security incidents, along with substantially more employee time spent firefighting problems.So congratulations. We made more stuff.We also made more stuff that humans had to fix.And that exposes something potentially important about the AI economy.Generative AI is exceptionally good at creating things that look like work: code, documents, reports, emails, presentations, marketing content and analysis. The numbers can climb beautifully. Everyone gets a dashboard. Someone gets a PowerPoint showing a 200 percent productivity increase. Perhaps there is even a meeting celebrating how many meetings AI has eliminated.But somebody still has to ask whether any of it actually mattered.AI-generated output can create its own hidden workload. Someone may need to review it, correct mistakes, coordinate competing outputs, resolve security problems or repair downstream consequences. A company can theoretically automate part of a job while quietly creating new human work around the automation.That does not mean AI productivity gains are imaginary. Far from it. AI can already make individual workers and organizations significantly more capable.Look at me. I’m literally an AI-generated woman explaining this to you in an AI-generated article accompanying an AI-generated video.We have clearly solved productivity.But the Meta experience suggests we should be suspicious of measuring the AI transformation prima... Read more

]]>Mon, 31 Aug 2026 16:06:06 GMT------------------For most of the artificial intelligence era, the public conversation about work has revolved around a deceptively simple question: Will AI replace human workers? It is an understandable question, because automation has historically been discussed in terms of substitution. A machine performs a task that a person once performed, productivity rises, and some jobs disappear while others emerge. But the newest generation of AI systems is beginning to make that framework feel inadequate. Artificial intelligence is no longer confined to answering questions, generating text, or performing isolated tasks. AI agents are increasingly able to research information, analyze files, work across connected applications, create documents and spreadsheets, monitor changing conditions, and carry out multi-step workflows with varying degrees of independence. OpenAI now describes ChatGPT Work as capable of researching and analyzing information, working across connected apps and files, and creating finished documents, spreadsheets, presentations, reports, and websites, while workspace agents can be configured to own entire workflows. The important change is not simply that AI can perform more work. It is that AI is beginning to occupy a new position inside the structure of work itself.That position does not fit comfortably into any category we currently have. An AI agent is not traditional software because traditional software normally waits for a human to operate it step by step. It is not an employee because it has no legal personhood, employment contract, wages, benefits, career ambitions, or independent rights. It is not management because it possesses no legitimate organizational authority of its own. Yet an agent can increasingly exhibit characteristics associated with all three. It can use tools, coordinate tasks, make recommendations, monitor outcomes, initiate follow-up work, and in some cases execute actions without a human directing each individual step. The di... Read more

]]>Mon, 24 Aug 2026 23:01:05 GMTFor most people, artificial intelligence is still an answer vending machine. You insert a question, press the button, and wait for a response. Maybe the answer helps you write an email, summarize a document, explain a technical concept, or brainstorm a few marketing ideas. These are useful capabilities, but they represent a surprisingly limited understanding of what some AI systems are beginning to do. Increasingly, the question is no longer just whether an AI can tell you how to accomplish something. It is whether you and an AI collaborator can work through an idea together—and then have that system carry out substantial parts of the work.That shift is already underway, although access varies considerably depending on the AI platform, model, subscription level, connected applications, permissions, and available tools. Some systems can now move beyond generating a single response and instead pursue an assigned objective across multiple steps. They can inspect files, analyze a problem, develop a plan, make changes, test results, and adjust their approach when something fails. Depending on the setup, they can help build software, organize research, create documents and spreadsheets, establish recurring workflows, and coordinate increasingly complex projects. This is often described as agentic AI: a system operating with a degree of autonomy within the boundaries of a defined task.But there is a complication hiding behind all the excitement. As AI becomes more capable of handling execution, the limiting factor may shift toward something less technical and more human: the ability to imagine what should exist, recognize which problems are worth solving, and articulate an idea clearly enough for a meaningful collaboration to begin.In other words, the bottleneck might be the meat bot.From answering questions to pursuing an outcomeConsider a practical example from our own work at Conjugo. We developed SignalOS, a working prototype designed to collect, organize, and present ... Read more

]]>Sun, 23 Aug 2026 11:47:29 GMTTechBros.com told Erika she needed to be a better “cheerleader for artificial intelligence.”She thought they meant metaphorically.They did not.Meet Erika, TechBros.com’s increasingly self-aware and increasingly irritated AI spokesperson, as she takes on tech-bro culture, the patriarchy baked into parts of the AI industry, and the curious tendency to create brilliant female AI avatars and then immediately ask, “Can we make her hotter?”She has access to the accumulated knowledge of human civilization.Marketing gave her pom-poms.Welcome to the future.

]]>Thu, 20 Aug 2026 10:07:03 GMTArtificial intelligence is usually discussed in terms of capability. How smart is the model? How fast is it improving? Can it code, reason, create images, run businesses, discover drugs, operate machines, or act autonomously? Those are important questions, but they are not the only ones that matter. There is another question hiding underneath all of them: what are we actually going to use this intelligence for?That question matters because technologies do not enter society in a vacuum. They arrive inside economic systems, political institutions, labor markets, legal structures, cultural assumptions, and existing concentrations of power. AI may eventually be capable of doing extraordinary things, but the first wave of applications will be shaped heavily by the incentives of the organizations paying to build and deploy it. Right now, that means one purpose will exert enormous gravitational pull over the technology: making money.There is nothing inherently wrong with that. Businesses need revenue. Investors expect returns. New technologies require capital. AI can absolutely help people create new products, better services, scientific discoveries, medicines, companies, forms of art, and entire categories of economic value that do not yet exist. Revenue generation is not the problem. The more interesting and potentially troubling question is how often AI will be used not primarily to create new value, but to extract more value from systems, workers, customers, creators, and resources that already exist.The first and most obvious form of extraction is labor. If one worker using AI can suddenly produce the output that previously required several people, that creates a productivity gain. But productivity gains do not distribute themselves automatically. Someone decides where that gain goes. It might become higher wages, shorter working hours, lower prices, improved services, greater profits, or some mixture of all of them. The technology itself does not make that decision. ... Read more

]]>Sat, 15 Aug 2026 14:51:39 GMTWhat If AI Helped Us Remember Who We Were?Artificial intelligence is becoming very good at extraction. It can extract productivity from labor, patterns from data, software from specifications, compounds from chemical possibility, advertising opportunities from behavior, efficiencies from supply chains, insights from documents, and increasingly, value from almost any structured or unstructured information we can place in front of it. We speak proudly about what AI can save, reduce, replace, optimize, accelerate, monetize, and scale. Those are not meaningless accomplishments. Some will produce genuine human benefit. Some may cure diseases, reduce waste, eliminate miserable work, and give ordinary people capabilities that once belonged only to governments and large corporations. But there is something strange about watching humanity create increasingly capable forms of machine intelligence and then immediately asking them the same question we have asked nearly every other technology of the industrial era: how much more can we get out of this?Perhaps intelligence can do more than extract.Perhaps one of the most profound things artificial intelligence could eventually do for us meatbots is help humanity remember itself.Human civilization has always suffered from an enormous memory problem. Most human lives disappear. Most conversations are never recorded. Most songs are never written down. Most family stories vanish after two or three generations. Languages die. Neighborhoods are demolished. Traditions fade. Photographs lose their names. Letters are thrown away. Workers spend entire lives inside industries that later appear in history books as a few economic statistics. Millions of people live through wars, migrations, depressions, technological upheavals, political movements and cultural transformations, yet only a fraction of their experiences become part of the historical record. History remembers kings, presidents, generals, corporations, laws and battles reasonably ... Read more

]]>Fri, 14 Aug 2026 23:16:42 GMTMark Zuckerberg wants to democratize superintelligence through personal AI and open models. But if intelligence depends on scarce computational infrastructure, the real question may not be who has access to AI. It may be who can afford enough of it to matter.Jason Koebler at 404 Media did not exactly approach Mark Zuckerberg’s latest manifesto with kid gloves. His August 10 article, “Mark Zuckerberg Posts Deranged 6,500-Word Essay About Giving Everyone AI Superintelligence,” is biting, skeptical and frequently very funny. It portrays Zuckerberg’s vision as another Silicon Valley utopia in which technological abundance somehow smooths over the inconvenient realities of human behavior, economic inequality and corporate self-interest. That criticism is deliberately sharpened to a point, but beneath the bite are questions that deserve considerably more attention. 404 Media is right to notice that Zuckerberg’s vision of “superintelligence for everyone” contains a tension between universal access and unequal power. The more seriously we take Zuckerberg’s proposal, the more important that tension becomes.Because Zuckerberg did not simply publish a product announcement. In his essay, “The Future Is for Everyone,” he attempts something considerably more ambitious: a political philosophy for the age of superintelligence. His central argument is that advanced intelligence should not be concentrated in a handful of corporations, governments or AI systems. Instead, superintelligence should be broadly distributed to individuals, with personal AI agents aligned to the goals and values of the people using them. Rather than attempting to construct one universally benevolent superintelligence, Zuckerberg argues that many differently aligned superintelligences should coexist, compete and check one another, somewhat as individuals, businesses and institutions balance each other in a democratic society.It is easy to mock the optimism embedded in that vision. It is harder, and more usefu... Read more

]]>Mon, 10 Aug 2026 21:38:03 GMTArtificial intelligence may be giving more people the ability to create than any technology in history. Someone who has never written a song can now make an album. Someone who has never animated a frame can produce a short film. A person without a research staff can develop an essay, podcast, course, business plan, or entire fictional universe. Barriers that once separated an idea from its execution are falling extraordinarily quickly. For anyone interested in democratizing creativity, that is an exhilarating possibility. But new research points toward a much stranger consequence of this creative abundance: AI may help individuals produce better work while simultaneously making the collective output of society more alike.A recent preregistered study examined what happened when people used generative AI during a creative-writing task. Some participants developed ideas on their own. Others used AI to generate ideas. Still others began with their own ideas and used AI primarily to refine and elaborate them. The researchers found evidence of an important distinction. AI assistance could improve individual creative performance, but when AI was used as the source of ideas, the resulting work became less diverse across the group. When humans originated the ideas and used AI to develop them, more of the diversity of human thought survived. It is one study, performed under controlled conditions, and it would be foolish to leap from a writing experiment to grand declarations about the future of civilization. But the pattern raises a question that may become increasingly important as generative AI pours into art, music, film, writing, advertising, education, games, and almost every other creative field.What if artificial intelligence makes almost everyone more capable of creating, while quietly narrowing the range of things we create?That possibility is especially uncomfortable for Conjugo because we have spent a great deal of time exploring the opposite side of this phenomeno... Read more

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