Steven Smith

28.6K posts

Steven Smith

Steven Smith

@sstackmore

God. Fam. ₿itcoin. Miner. CEO, Celestial Mining Management

Florida, USA Katılım Haziran 2008
665 Takip Edilen2.5K Takipçiler
Steven Smith
Steven Smith@sstackmore·
@BrianRoemmele There are many who will fight abundance. And we are not at all set up to encourage high agency self actualization or however you wish to frame it. Unearned ease has typically been socially and personally destructive. It doesn’t by itself lead to pro social behavior.
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Brian Roemmele
Brian Roemmele@BrianRoemmele·
If you want to know the future, take 15 minutes to hear what it will be like. This interview will help show you a compass point and help you build a map. Listen up and listen in…
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Vile Core
Vile Core@VCore65122·
@CryptoHayes Can't believe Club Space is still open. Going on almost 30 years?
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Arthur Hayes
Arthur Hayes@CryptoHayes·
Went to church this morning and the Lord told me that my keynote for Consensus Miami shall be “We Don’t Need No Regulation”
Arthur Hayes tweet media
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Valy 🎩🎭
Valy 🎩🎭@liderfiscal·
ULTIMA HORA 🆘La hija del senador republicano estadounidense Jay Block: 🆘 "Israel le paga dinero a mi padre y él difunde propaganda. Me avergüenzo mucho por esta situación. Creo que mi padre le ha vendido su alma al diablo. ¡Espero que su carrera termine!" #IsraelisGenocidalEntity
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Steven Smith
Steven Smith@sstackmore·
@syncognia Sandbagging was incredibly common especially among the gifted. You might be 10x better but you won't get 10x the pay. So if they paid 10xer 2x as much as the mediocre guy, many would output 2.5x as much, slack and still look good. Now 10x is tablestakes.
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Syncognia AI
Syncognia AI@syncognia·
Before LLM assisted coding, devs where milking tasks. Now they look like under-performers. This explains a lot.
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Zane Hengsperger
Zane Hengsperger@zanehengsperger·
there are 1000 supply chain companies to be reinvented that no one has attempted in america in the last decade
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Dan Go
Dan Go@CoachDanGo·
Over the past 34 years the average Chinese man became, on average, 3 inches taller than his grandfather. But entire population can't rewrite its DNA in 35 years. So what made them grow so fast? The answer might surprise you.
Dan Go tweet media
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Steven Smith
Steven Smith@sstackmore·
@a16z @LokiJulianus @pmarca I turned off permissions in cursor well over a year ago and learned to let it rip. If you didn’t start climbing that ladder you have no idea what is possible today. People who did start then have huge agentic systems now. I’m closing on a million LOC since Jan. With one partner.
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a16z
a16z@a16z·
.@pmarca says AI is the biggest technological revolution of his life: "This is the biggest technological revolution of my life. This is clearly bigger than the internet. The comps on this are things like the microprocessor, the steam engine, and electricity." "The neural network as an idea continued to be explored in academia for the last 80 years. And essentially it didn't work, it was decade after decade of excessive optimism, followed by disappointment." "Then basically we all saw what happened with the ChatGPT moment. All of a sudden it crystallized, and it was like, 'Oh my God, it turns out it works.' We're sort of three years into effectively an 80-year revolution."
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Steven Smith
Steven Smith@sstackmore·
@BrianRoemmele Who produced this video? Is this a humanoid robot co producing a self promotion video?
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Brian Roemmele
Brian Roemmele@BrianRoemmele·
This will be the last war where humans were materially involved in the building of humanoid robots. The escape velocity is when you own the ability to do what this factory is doing in your garage with a scrappy open source robot making robots. Computers in the 1940s filled massive rooms. You hold in your hands more power than all the computers in the world up to 1964. Don’t believe anyone who says it won’t happen. It will and faster than anyone can comprehend.
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Steven Smith
Steven Smith@sstackmore·
I have a whole plan for reform of that system. No time to get into it. But rest assured if you want to be a "non-profit" you better be discounting services with donations, charging everyone fairly, and not lathering up management with millions in pay. I have no problem with a for profit hospital owned and operated by doctors operating under the hippocratic oath. Look at @SurgeryCenterOK
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Matthew Turner
Matthew Turner@MbtHawk·
@sstackmore @MaryBowdenMD @elonmusk That’s because of insurance and government interference in insurance. You think making them pay more taxes would make this better?! Just means increased costs.
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Elon Musk
Elon Musk@elonmusk·
They stole a nonprofit. It’s not right.
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Steven Smith
Steven Smith@sstackmore·
@MaryBowdenMD @elonmusk Normalize the term "NPINO" = Non Profit In Name Only. Generally they run for the benefit of management. Just count the number of people earning six and seven figures.
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Mary Talley Bowden MD
Mary Talley Bowden MD@MaryBowdenMD·
@elonmusk We need to do away with “nonprofits.” These are the top 20 in Texas ranked by income…. Most are hospitals.
Mary Talley Bowden MD tweet media
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Philosophy Of Physics
Philosophy Of Physics@PhilosophyOfPhy·
At Bell Labs in the late 1940s, where most doors were closed and equations were treated like weapons-grade material, one researcher rode a unicycle down the hallway and juggled to clear his mind. That was Claude Shannon. From the outside, it did not look like serious work. Bell Labs was a place built on rigor, deadlines, and problems tied directly to the future of communication systems. The stakes were not abstract. Telephone networks had to scale. Signals had to survive noise. Every improvement mattered. Across the hall, Richard Hamming watched all this with a mix of curiosity and skepticism. Hamming was disciplined, methodical, and deeply focused on getting results. He believed in hard problems and sustained attention. And yet, here was Shannon, building gadgets, playing with mechanical toys, riding that unicycle, and seemingly drifting between ideas. At first glance, it raised an uncomfortable question. How much real work could someone like that actually be doing? But Bell Labs had a way of revealing answers slowly. Conversations mattered there. Hallways mattered. Ideas did not stay confined to notebooks. Hamming began to notice something. Shannon’s door was almost always open. People walked in and out constantly. Engineers, physicists, mathematicians. Problems were discussed casually, often without immediate purpose. Bits of circuit design, logic, probability, switching systems, all mixed together in loose, unfinished conversations. It looked unfocused. It was anything but. Hamming would later describe a pattern he saw clearly over time. Many researchers kept their doors closed. They believed it helped them concentrate, to push forward on well-defined problems without interruption. And for a while, it worked. They produced solid, incremental results. But the world moved on. The problems evolved. The frameworks changed. And those who stayed locked inside their narrow focus often found themselves working on questions that were no longer central. Shannon operated differently. His open door was not a lack of discipline. It was a deliberate exposure to ideas. He allowed interruptions because they carried information. Each conversation was a small input from another domain. Over time, those inputs began to connect. What looked like distraction was actually cross-pollination. By 1948, those scattered threads came together in a single, decisive leap. Shannon published A Mathematical Theory of Communication. In it, he connected ideas that had existed separately: the logic of switching circuits, rooted in George Boole’s algebra; the physical reality of communication systems; and the probabilistic concept of Entropy. He reframed communication itself. Not as signals in wires, but as information that could be measured, encoded, transmitted, and recovered despite noise. The work did not just solve existing problems. It defined an entirely new field, Information Theory. From the outside, it might have looked like Shannon had been wandering. In reality, he had been working on the right problem. Hamming took that lesson seriously. He began to distinguish between doing work and doing important work. Many people, he realized, stay busy solving well-posed problems that lead to incremental progress. It is safe, productive, and often rewarded. But Great Work requires something else. It requires choosing problems that matter, even if they are not clearly defined yet. It requires tolerating periods that look unproductive. It requires, at times, an open door. Hamming would later reflect that those who shut themselves away to “get work done” often missed the larger shift happening around them. Meanwhile, someone like Shannon, who seemed to be frittering away time, was quietly assembling the pieces of a new intellectual framework. Bell Labs did not just produce answers. It revealed a deeper rule. It is not enough to work hard. You have to work on the right things, even when it does not look like work at all.
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Steven Smith
Steven Smith@sstackmore·
"only one reality to map"
How To AI@HowToAI_

MIT proved every major AI model is secretly converging on the same "brain." It’s called the “platonic representation hypothesis,” and it’s one of the most mind-blowing papers you’ll ever read. You train a vision model purely on images. You train a language model purely on text. They use completely different architectures. They process completely different data. They should have completely different "brains." But as these models scale up, something impossible is happening. When researchers measure how they organize information, the mathematical geometry is identical. A model that only "sees" images and a model that only "reads" text are measuring the distance between concepts in the exact same way. The models are converging. The researchers named this after Plato’s Allegory of the Cave. Plato believed that everything we experience is just a shadow of a deeper, hidden, perfect reality. The paper argues that AI models are doing the exact same thing. They are looking at the different "shadows" of human data, text, images, audio. And they are independently discovering the exact same underlying structure of the universe to make sense of it. It doesn't matter what company built the AI. It doesn't matter what data it was trained on. As models get larger, they stop memorizing their specific tasks. They are forced to build a statistical model of reality itself. And there is only one reality to map. 2024, Arxiv

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Black Swan, Crossing Over Into the Banana Zone
@sstackmore @DavidGiglioCA I don't make the rules, but in the reality of things, I totally agree. As a matter of fact all of this was telegraphed anyway prior to the inaugural. x.com/MarketsPuke/st…
Black Swan, Crossing Over Into the Banana Zone@MarketsPuke

@SantiagoAuFund I contend that the next step in America’s evolution isn’t revolution but Imperial. It’ll come as a force that will be cloaked in the sheep’s clothing of personal freedoms and elimination of the establishment.

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