Chronicling the singularity

mts.now
Based in United States
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REGULATION EVERYWHERE | NEW MICROSOFT COPILOT | COSIGN nitter.net/i/broadcasts/1nGnRBZeD…
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SITUATION DETECTED: SpaceX is preparing for a historic test flight Monday morning and is planning to send Starship into orbit around the Earth for the first time, per CNBC.
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.@AndrewYang says a focus group killed his TV show because Americans are pessimistic about the future. @sophiadew says AI is making people in poorer countries feel the exact opposite: Andrew Yang: "They did a focus group and they said, hey, bad news, Andrew. People don't like the future. For the average American, they see the future and it makes them sad. And I'm going to suggest that a lot of them are correct." Sophia: "In poorer countries, people love AI. They believe it's an opportunity for growth, for education, for prosperity. If we expand our conversation beyond just America, people are actually feeling very optimistic." "I am an AI optimist because I don't like the problems in our world. I want cures to diseases. I want a better planet." Andrew Yang: "I am pro-innovation, pro-progress. I am not a shut it all down guy. The major challenge is to get the winners of this era to say, look, it's better outside the bunker. It's better not living in fear. I'm a come together guy. I'm a let's figure it out guy." @jubileemedia
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.@schisofrenia argues the real UBI question is how AI wealth gets redistributed. @AndrewYang says he’s already seen one version of it firsthand after getting paid $2,500 for AI to use his work: Sofia: "You were the person who first introduced me to the concept of UBI in the first place" "We have a sovereign wealth fund, akin to what Norway has. Alaska has more of a petroleum dividend." "A universal basic dividend would distribute wealth to Americans based on a weighted index of the top AI companies. How you define what the top AI companies are, that's really the core topic of contention." "You could do things like wage insurance. If somebody made 80k a year and their job was displaced by AI and they have to get a job that's 50k a year, the government could compensate those people for the amount that they lost." Andrew Yang: "I am probably the only person in this circle who actually did get paid for their data. AI wants to eat your book and it will pay you $2,500 for the privilege. Imagine if every American got a message like that." @jubileemedia
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.@sophiadew argues AI will make human taste and judgment more valuable. @AndrewYang says that just creates a K-shaped economy where only the rich will be able to afford it: Sophia: "With Jevons paradox, as AI increases productivity, there also increases more demand. One of the biggest areas where we're seeing rise in demand are things that are uniquely human and that AI cannot replace." "Things like taste, like judgment, things that the AI can't do. There is more demand for that, creating more scarcity for it and creating new types of markets. Creating new jobs in those fields." Andrew Yang: "Graphic design used to be considered a creative task and now that's getting pounded out by AI. Video making, no offense Jubilee, that's getting mulched by AI." "If I'm rich and I want someone to tell me what painting I should hang in my living room, I will pay a human to do it. That's only because the ultra winners are going to want people's taste." @jubileemedia
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.@sophiadew says radiology is proof AI can transform jobs instead of eliminating them. @AndrewYang says the transition is happening far too fast for that story to hold: Sophia: "I am an optimist because of all of your fears that you say. There are certain things that we should do to mitigate all the harms that AI will cause." "Most people think one day robots are going to come in and all the jobs are going to leave, but what actually ends up happening is a slow transition where the jobs transform and re-augment in ways where the human has to do more human type of work." "Everyone thought AI would get rid of all the radiologists. There's more demand for radiology, but the job of a radiologist now is way more human." Andrew Yang: "I'm now 50 years old, which means if I don't get dumber in a given month, it was a good month. Meanwhile, the models will get twice as smart that month." "Block fired 4,000 out of 10,000. Oracle laid off 30,000 workers and said, we're doing it to invest in AI. This is not a multi-year transition. This is like a hey, sorry, we don't need you anymore." @jubileemedia
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.@theojaffee argues the biggest automation in history created the modern world. @AndrewYang says AI is different, and 1894 is the reason why: Theo: "Automating subsistence farming, which almost every human for all of history used to do, has created a tremendous amount of new industries." "This whole thing of Jubilee videos would just not exist if we didn't have a huge amount of the tasks that we previously did automated." Andrew Yang: "Only 1% of Americans now work in agriculture and that number used to be 40 times higher. So that's a fact. AI is different than anything that has gone before. We've never had thinking machines that can do billable lawyer work in seconds." "Even in the industrial revolution, there were mass riots that killed dozens of people. Today you have many more educated people who are not going to take getting kicked to the curb gently." @jubileemedia
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MTS retweeted
we debated andrew yang on jubilee! “20 AI optimists vs. 1 AI realist” full video out now
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.@AndrewYang says AI will crush millions of jobs. @theojaffee argues jobs don’t work that way and 200 years of automation says otherwise: Andrew Yang: "2.9 million Americans work in customer service call centers. 2 million drive an Uber. 70 million Americans work at white collar jobs. I think AI is going to crush this number." Theo: "Just looking at the past 200 years or so of automation, this claim has been made over and over again and it doesn't stand because automating jobs is really hard." "Jobs are bundles of tasks. In order to automate a job, you have to do every single task the human does on some Pareto curve of better and cheaper than the human. If there's one task in a job remaining for humans to do, humans are still employable" Andrew Yang: "There are 100 people in a department doing a job and if you can reduce 60% of the tasks, what happens is you fire 60 of the hundred and the remaining 40 you say, hey guys, your jobs just changed. Then you systematically reduce that number." @jubileemedia
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MTS retweeted
total mts takeover thank you @AndrewYang and team jubilee we will do more of this and debates. best team in the world
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SITUATION DETECTED: Bill Gates told Meet the Press this is an evolutionary event, and that “we have created an intelligent species that in many respects is already smarter than we are.”
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Last month, our hosts @schisofrenia, @sophiadew and @theojaffee joined @jubileemedia to debate @AndrewYang for their latest episode “Andrew Yang vs 20 AI Optimists.” The video is out now: piped.video/020ZvO0FbMM?is=feN5…
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MTS retweeted
earlier this year, @jubileemedia cordially invited the mts team to be in a secret video project in la it was with @AndrewYang, in its classic 20 v. 1 debate on tech optimism today the final video comes out. it's on jubilee's youtube channel (11m subscribers). watch it here: piped.video/watch?v=020ZvO0F…
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MTS retweeted
Last month my cohosts @schisofrenia @sophiadew and I were in a Jubilee Surrounded video with @AndrewYang. It’s out now. Go watch it! piped.video/020ZvO0FbMM?is=5pl_…
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SITUATION DETECTED: President Trump will host Dario Amodei at a private White House dinner tonight, their first one-on-one meeting, and a sign of thawing relations after months of tension, per Axios.
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SITUATION DETECTED: Sam Altman and Dario Amodei have both been sent written requests to appear at an Australian Senate inquiry on AI.
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Crucible Capital founder @Melt_Dem reveals how she financed her own GPU cluster with stablecoin debt and personal credit risk because she refused to sit out the AI boom: "We're a no-name operator. They're like, who are these two women building compute? Their perception's like, who's this crypto lady?" "We got debt from USDAI, which is a protocol that crowdsources capital through stablecoins, and the GPUs back the loans. We also took on some personal credit risk. I think being levered to the tits is a great way to live." "In the greatest build-out of infrastructure in human history, are you really just gonna sit on the sidelines and tweet? I'm gonna ship some bangers, and I'm gonna take some risks, and if I die, I die." "I'm not gonna sit there and tell my children, during the AI boom I sat back and I tweeted." @CrucibleCap
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Crucible Capital founder @Melt_Dem says compute will be this century’s oil, and America should win the same way it built the petrodollar: financial engineering. "I am a compute maximalist. The core view we have is a view I call capital markets maximalism. America is incredible at financial engineering" "This is why the US dollar is the petrodollar. If the oil industry was the most consequential of the last century, I think the compute economy will be the most consequential of this century. How does America win? Shit ton of financial engineering. Let's do what we're really good at." "If banks are stepping back, if credit funds get more rigorous with their underwriting, we see the whole debt complex repricing from 7 to 9% into the low teens. That means we need new sources of capital to step in." @CrucibleCap
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micro1 CEO @aliansarinik explains why blacking out PII destroys the relationships AI needs to learn, and how FlowTransformer preserves them in a synthetic digital twin: "Every ingredient within the environment, we aim to make more realistic because it matches the distribution that models need to learn on. That's the distribution they're gonna act in whenever they're deployed into enterprises." "We've been partnering with hundreds of companies, licensing their data, anonymizing it, and then using it for training" "The default is you just redact all the PII, you draw a black box around it. The problem is you lose the consistency of the identities and the relationships that allow you to train." "Instead of redaction, it does transformation. It creates a digital twin of any given enterprise. It changes all the names and identities into synthetic versions, keeps the relationships intact, but keeps privacy as the core." @micro1_ai
Today we’re launching micro1’s PII transformation model, flow-transform 1.0, delivering frontier-level performance across detection, identity synthesis, and transformation of personally identifiable information. On PrivacyBench, our model reaches 96.0% F1, outperforming every detection baseline we tested, including Tonic Textual, Claude Opus 4.8, Sonnet 4.6, Microsoft Presidio, Haiku 4.5 and GLiNER2. Some of the most valuable training data for frontier AI models lives inside fully functioning companies. It captures years of real work across decisions, communications, tools, handoffs, exceptions and the relationships connecting them. The problem is that this data is also full of PII. Traditional redaction makes the data safe, but it also destroys the very workflows and relationships frontier models need to learn from. flow-transform 1.0 solves this by turning enterprise operational data into high-fidelity training data for frontier models by replacing real-world identities without flattening the reality the data captures.
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micro1 CEO @aliansarinik on where synthetic data belongs in an expert data pipeline: everywhere the expert’s craft isn’t. "It's a bit counterintuitive because we're talking about realism, but then we also wanna use data generation models." "A lawyer's expertise that gets distilled into model training is the golden response of a legal memo. But the training signal comes from rubrics. The lawyer would also create 30 to 40 rubric items that define what a perfect legal memo looks like." "The lawyer writing these rubrics is a bit of a waste of time. They shouldn't spend their time writing these binary rubrics." "That tedious part the model can do, or soon it will be able to do, and the lawyer just focuses on building the artifact that is their craft." @micro1_ai
Today we’re launching micro1’s PII transformation model, flow-transform 1.0, delivering frontier-level performance across detection, identity synthesis, and transformation of personally identifiable information. On PrivacyBench, our model reaches 96.0% F1, outperforming every detection baseline we tested, including Tonic Textual, Claude Opus 4.8, Sonnet 4.6, Microsoft Presidio, Haiku 4.5 and GLiNER2. Some of the most valuable training data for frontier AI models lives inside fully functioning companies. It captures years of real work across decisions, communications, tools, handoffs, exceptions and the relationships connecting them. The problem is that this data is also full of PII. Traditional redaction makes the data safe, but it also destroys the very workflows and relationships frontier models need to learn from. flow-transform 1.0 solves this by turning enterprise operational data into high-fidelity training data for frontier models by replacing real-world identities without flattening the reality the data captures.
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