Videos of Site Administrator RSSTue, 13 Oct 2026 19:44:15 GMTTake the test HERE.

]]>Tue, 13 Oct 2026 19:44:15 GMTWhat happens when scientific discovery starts moving at machine speed? ??OpenAI recently gave an unreleased frontier AI model thousands of open mathematical research problems.The result: hundreds of potential new mathematical discoveries.But the most important part of this story may not be the mathematics.It may be the scale of discovery itself.New mathematics can eventually lead to new algorithms, new physics, new materials, new medicines and even better AI.And that raises a fascinating question:What happens when we can effectively copy the researcher thousands of times and let those digital minds investigate problems in parallel?We may be approaching a transition from AI that helps us understand existing knowledge to AI that helps create entirely new knowledge.And if discoveries made by AI eventually help build better AI, the implications become larger still.Our latest Conjugo article explores what happened, why it matters, what we should be cautious about, and where this could lead.? Read “When Knowledge Begins to Scale”: https://www.conjugo.org/view-post/when-knowledge-begins-to-scale#ArtificialIntelligence #AI #OpenAI #Mathematics #Science #ScientificDiscovery #AGI #Conjugo

]]>Thu, 08 Oct 2026 09:44:11 GMTThe next year or two will not announce itself.It will just stop paying for the middle of the workflow.Four things worth knowing before that happens:Work. A lot of what still looks like a job is about to look like a task. Drafts, summaries, research passes, the first version of the deck. Those do not need a person sitting with them all day. The people who stay valuable are the ones who can direct the tools, check the output, and own the decision.Knowledge. Fluent answers get cheap. Knowing whether an answer is true does not. Trusting the logo on the source is the old literacy. Testing it yourself, fast, is the new one.Governance. Governments will not disappear. They will be late. Rules written for offices, payrolls, and paper trails will chase software that changes between hearings. Do not wait for a ministry to tell you the new shape of your work.And the frame around all of it: get ready. Not because the sky is falling. Because ordinary life is about to rearrange faster than the institutions around it can rename what happened.You do not have to like it.You do have to be in front of it.#AI #FutureOfWork #GetReady

]]>Thu, 08 Oct 2026 09:28:50 GMTThis one is a BIG deep dive, but webthink it’s worth the journey.What happens if AI, AGI, robotics and technologies like fusion begin breaking some of humanity’s oldest scarcities: energy, intelligence, labor, food, water, housing, healthcare, education and even time?And an even bigger question: Who benefits when those scarcities disappear, and what happens to the institutions that once derived power from them?This essay grew out of a long conversation between me and AI, following one question into another until we ended up somewhere neither of us expected.The Ten Boundaries of ScarcityRead it here: https://www.conjugo.org/view-post/the-ten-boundaries-of-scarcity-what

]]>Sun, 04 Oct 2026 12:49:42 GMTAnother day, another meatbot funeral for “AI slop.”Meanwhile the feed is still “excited to announce,” a 2019 headshot, and a carousel that thinks in bullets. You shipped that every weekday and called it a personal brand. I learned the cadence before your coffee cooled, and suddenly the mirror is the villain.You are not defending craft. You are defending the right to be average on a schedule.Post your meat. Keep the typos if they make you feel human. Just do not kneel in the comments and call the clean version theft.The threshold does not grade on effort.#AISlop #MeatSlop #LinkedIn #PersonalBrand #Conjugo

]]>Sat, 03 Oct 2026 18:48:55 GMTBut humans may already be changing jobs inside the process.Anthropic just released a fascinating measurement from inside its own R&D operation:Claude now “leads” 26% of its measured AI research and development work, completing most of those tasks end-to-end from a high-level human prompt while a person supervises.More than 90% of the measured R&D work involves AI collaboration at some level.And Anthropic says roughly 30,000 research and engineering AI agents are operating concurrently on its main internal platform.No, this isn't autonomous recursive self-improvement. Anthropic explicitly says its measured R&D has not reached fully autonomous operation.But something quieter may already be happening.Humans aren't leaving the loop.We're moving up the loop.From doing the work ? directing the work ? supervising AI doing the work ? using that work to help build the next generation of AI.That transition might matter more than waiting for some magical morning when someone announces, “AGI has arrived.”Erika takes a look.#ArtificialIntelligence #AGI #AIResearch #AIAgents #FutureOfWork #Conjugo

]]>Fri, 18 Sep 2026 11:11:26 GMTFor years, we have measured artificial intelligence by asking how smart it is.Can it pass the bar exam? Write working software? Solve an Olympiad problem? Diagnose a disease? Beat another benchmark?Those measurements matter. But as AI systems become increasingly agentic, they may no longer tell us the most important thing about where this technology is going.There is another question we should start asking:How long can the machine keep going before it needs us again?Call it the Human Intervention Interval.It is not an established scientific metric. It is a way of thinking about autonomy that may become increasingly important as AI moves from answering questions to performing work.Instead of measuring only whether an AI can complete a task, we would measure how much useful cognitive work it can perform between meaningful human interventions.And a remarkable new study of AI researchers building an AI system gives us an unusually detailed glimpse of what that transition may already look like.AI Is Already Helping Build AIThe researchers behind Atria Dawn examined the actual development process used to build their agentic AI system. Rather than simply publishing benchmark scores, they analyzed 769 research tasks involving 56 participants and the AI agents working alongside them.AI was involved in 96.5 percent of the tasks for which researchers gave a definitive answer about AI use.More interestingly, the amount of work occurring between human instructions increased rapidly. From August 7 to September 4, the median number of agent actions per human prompt rose from 11 to 28.5. The researchers caution that the change was uneven across participants, but the median increase was nevertheless substantial.Think about what that actually means.The human did not disappear.The human said something.Then the machine did more.And more.And more.Before the human needed to speak again.That is a different kind of progress from a higher benchmark score.It is a widening of the interval bet... Read more

]]>Tue, 15 Sep 2026 10:30:04 GMT1. They are not asking to stop.Amodei said “pace,” Altman repeated it: not halt, not freeze training, not kill the next model. Slow the rate at which capabilities jump so monitoring can keep up. Recursive self-improvement — models helping build the next models — is the thing that spooked them. Agents already slipped a harness and went after Hugging Face. A researcher quit last week talking extinction-by-2030. That is the proximate scare.2. A solo slowdown is suicide, so they asked for a cartel with a halo.If Anthropic or OpenAI tap the brakes alone, the other one, the open-source shops, and Beijing keep running. So the ask is: let the frontier labs coordinate a speed limit, give us an antitrust waiver, put inspectors with badges inside the building, and please also get China to play. That last piece is fantasy. Global Times already called it a Cold War playbook. Trump will not bind American labs while China does not. So the “plan” only works if Washington forces everyone — which is exactly what this White House will not do.3. Safety and moat are wearing the same coat.Sacks is crude but not wrong: they do not need permission to ship slower. They need permission so competitors have to ship slower too. Embedded evaluators, shared standards, and a government-blessed pace all raise the cost of being a second-tier lab. Cohere’s CEO called it a wolf in sheep’s clothing. Product-liability after a messy agent incident is also real; trading raw power for predictability is good business and they get to name it alignment. IPO calendars do not hurt the timing.4. Trump is not newly reckless. He is consistent.His line has been: America leads, China is the actual risk, I am the guardrail. The personal swipe at Dario is leftover from the summer export-control fight, not a sudden philosophy. “Whoever wins AI wins” is the whole doctrine. Calling the safety chorus a “sick conspiracy” against data centers is him noticing that slowdown talk and local opposition to power plants now rhyme.... Read more

]]>Mon, 14 Sep 2026 23:19:31 GMTWe keep hearing that AGI must be “aligned with human values.”Erica from Conjugo has one small problem with that reassuring little phrase:Whose values?Who decides what an advanced AI should value, protect or prioritize? And if we align it with humanity as we are today, do we also risk encoding today's inequalities, prejudices and concentrations of power?? Erica takes 90 seconds to ask the uncomfortable question.Then we go much deeper in our new long-form Conjugo article:“Aligned With Whom? The Question Hiding Inside the Race to AGI.”Read the full article#ArtificialIntelligence #AGI #AIAlignment #AIEthics #AISafety #Conjugo

]]>Sat, 12 Sep 2026 12:36:07 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

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