Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

Who is Michael Sutton, one of the minds behind Kaspa's Rust node? Michael Sutton is a Kaspa core developer. He holds a master's in computer science from the Hebrew University, where he researched parallel algorithms and distributed systems, the science of software running across many machines at once. Alongside...

27,654 Aufrufe • vor 10 Tagen •via X (Twitter)

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

Dagknight technical progress As would be mentioned in a still unshared post by Michael Sutton, the dagknight effort is split into v0 devnet, v1 testnet and v2 mainnet candidate. I’ve been testing the current v0-based implementation in a small devnet with the help of some testers who run nodes and miners with me. The DK work can be thought of as split into two parts: (1) implementing the actual protocol and (2) wiring it up and using it. The testing and development over the last month has been focused on (2). Obviously, DK is a consensus change for selecting parents. What’s not so obvious is that such a change affects DAA, coinbase, IBD, pruning and a lot more. Each of these areas is very sensitive and requires proper understanding to wire correctly. An important consideration and difference from GD is that DK does not focus on maximizing a property like blue work. So to maintain topological properties of blue work, an independent (free) GD implementation is kept running specifically for maintaining blue work. This allows us to keep using the property for topology. Coloring and blue score use the megachain induced by DK. The wiring around DK as of this posting is in a working state, but still needs to be reviewed. Next efforts will be focused on protocol specific components, particularly Tie-Breaking and incremental UMC. Attached are some captures from the internal devnet. The dense DAG image is what happens when things related to DAA or other similar consensus parameter causes a node to insist on their POV. The video is a recent snippet of the KGI running on the devnet showing (perhaps not obviously) DK at work. The current “dagknight” branch is now posted on the main repo. A topic in the Public R&D has been opened for Dagknight development.

coderofstuff

53,968 Aufrufe • vor 7 Monaten

a contractor in Shenzhen priced a ¥12,470,900 hospital contract, about $1.7m, in one afternoon and beat firms carrying forty people he explained how he did it: the bid consultancy he used to pay took three days and ¥46,000 for the same envelope. he did this one alone, off one screen, at 11.4% margin, uploaded before the 17:00 cutoff 214 pages of tender documents read, 68 binding clauses pulled out, 9,485 building parts loaded, 14 places found where a duct and a beam sit in the same cubic metre, deepest one 38mm, all of them fixed, 3,318 lines of quantities priced and the package encrypted and uploaded before the 17:00 cutoff this is Graph Engineering: the job gets cut into small nodes, one narrow task each, wired so that one node's output is the next node's input, and any node is allowed to stop the whole run. it turns a model that answers you into a machine that finishes the job: - give every node one job and one output. a node doing two things fails at both and you cannot tell which one broke - put the cheapest rejection first. his qualification node reads clause 7.4, foreign-owned firms barred, and ends the run four seconds in, before anything expensive touches the model - what moves between nodes is a file. the model travels as a model, the quantities as a table, the price as a number - build exactly one loop: the checker finds 14 collisions, the fixer drops the duct 550mm, the checker runs again, and nothing moves on until the count is zero - cap that loop, or a graph will grind on three impossible clashes until the deadline passes - keep one node whose only job is to say no, and give it authority over everything above it - log each node's output on its own, because when the price comes out wrong you need to know which node believed the wrong thing - run the expensive nodes last, always the catch is that a graph is an extremely confident machine: point it at an outdated rate book and it prices an entire hospital off it without a single node noticing, because no node is asked to doubt the input, only to process it so the nodes that earn their keep are the ones that reject, and almost nobody builds those first bookmark this, the full build with all nine nodes and what each one hands to the next is written out in the article ↓

Argona

38,189 Aufrufe • vor 2 Monaten

This guy pulls $72,000 a month off a network of 12 influencers who do not exist and not one of them lives past his webcam. He got tired of watching brands burn $8,000 a month on castings and influencer contracts and a film crew for a couple of clips. So he built a generative studio and raised a whole roster from scratch not just one face. One of his clips costs $0.40 in compute. One post from a real influencer runs $1,500. He never shows up on camera himself. On camera there is only his motion under someone else's face. No model. No film crew. No casting. Here is the exact breakdown: → First he builds not a face but an operator core: one set of his expressions and one rig and a library of personas that snap onto him → Then he locks each face and only once it holds 98% across 1,000 frames even on a sharp head turn does he push the persona into the feed. Today a blonde from the US tomorrow an Asian girl but the operator behind them all stays one → A real-time rig lays a face over his webcam. Flux and LoRA hold each persona. ElevenLabs gives each one her own voice and accent. Higgsfield and Kling build the clips → TikTok and Reels push the clips into the tags. One clip pulls 200,000 to 1,200,000 views and the face is matched to the market. It reads as a live person not a render The key move that 96% skip: they invest in the face not in the operator behind it. Generate another pretty face and join a line of 800 just like it this week. Put a live operator behind the face with timing and pauses and reactions and the persona lands in 2 seconds. Pull the operator and the face glazes over and the watch time collapses. Here is where the money actually gets pulled: → Affiliate where each persona drives offers matched to her audience at 8-15% on every sale → His own stores where the top personas front his own product at 65% margin on a $52 average order → Face licensing where a brand keeps a persona on retainer at $2,500 a month so that is $7,500 a quarter not one check → Managed network as a service where he runs other people's personas at $1,800 a month each → A network of faces 12 personas across 12 markets off one operator The numbers are silly. A clip costs $0.40 in compute. One clip drives up to 1,200,000 views straight to the offers. At a 0.7% click and a $52 order that is hundreds of sales off one video. And the whole network runs on $120 a month in software and one webcam. The first night a new persona went up her clip pulled 640,000 views in 9 hours. Before an agency would have answered one email the offers cleared 280 sales for $13,700. 3,900 comments under a girl who 72 hours earlier was a prompt and one reference frame. The comments fill with "wait is this all one guy" and that argument is the fuel the algorithm runs on. Real agencies are still casting influencers and clearing contracts for weeks. And he ships a new face before they answer one email. Not a single casting. Not a single shoot. Not a dollar on ads. Just one operator. Twelve faces over him. And the discipline to sell the brain behind the persona not the face itself. Half of you are already typing that this is too much. The other half are already building their first persona. Which half are you in?

Shade

37,090 Aufrufe • vor 3 Monaten

Topic: Science and the Fullness of Life. Quote 1: Rejecting science is easy. Understanding it is hard. Yet only this path leads to fullness of life. Author: Zafar Mirzo. Rejecting science is easy. It requires no effort, no study, and no discomfort. You can simply dismiss it and stay within familiar beliefs. Understanding science, however, is hard work. It demands time, intellectual honesty, and the willingness to change your mind when evidence shows you were wrong. Yet the author insists this harder path is the only one that leads to a full life. Science is not just a collection of facts. It is the most reliable way we have to understand reality, our origins, our world, our possibilities. Embracing it opens the door to wonder, clearer thinking, and better decisions. It frees us from illusion and gives us the tools to solve real problems. A life lived in deliberate ignorance stays small. A life guided by scientific understanding expands. The choice, though difficult, is clear. Quote 2: Science is hard to understand, yet without it there is no fullness of life. Author: Zafar Mirzo. Science is hard to understand. It takes real effort, patience, and the courage to question old beliefs. Many prefer to avoid that struggle. Yet the author is clear: without science, there is no fullness of life. Rejecting it or staying ignorant leaves a person trapped in a smaller, less accurate picture of reality. Understanding it, however difficult, brings clarity, wonder, and the ability to engage with the world as it truly is. A life shaped by scientific knowledge is richer. It sharpens thinking, solves real problems, and deepens appreciation for existence. The path is demanding, but the alternative is a diminished existence, one cut off from truth and possibility. Science may be hard, but it is the only road to a complete and meaningful life.

Zafar Mirzo | Quotes

2,787,559 Aufrufe • vor 2 Monaten

There is a keyhole in Rome that lets you see three countries at once... It sits in a green door at the top of the Aventine Hill. Press one eye to the lock, and the dome of St Peter's Basilica appears at the end of a long corridor of laurel hedges, framed perfectly inside a circle of metal barely an inch wide. The dome is a kilometer and a half away, but through the keyhole it looks impossibly close. As if you could reach through and touch it. The door belongs to the Sovereign Military Order of Malta, the only order from the Crusades that still exercises sovereignty today. The villa behind the door has extraterritorial status and it's treated as separate from the surrounding Italian territory. This is why one keyhole holds three sovereign jurisdictions. The garden in front of you is the territory of the Order of Malta — not a country in the conventional sense, but a sovereign subject of international law, with its own passports, ambassadors, and a permanent observer seat at the United Nations. The land between the garden and the dome is Italy. The dome itself stands inside the Vatican. Three sovereignties in one glance... None of this was an accident. In 1765, the Venetian architect Giovanni Battista Piranesi was commissioned to redesign the priory. He laid out the gardens, planted the laurels, and aligned everything toward the distant dome of Michelangelo's masterpiece. He was building a telescope made of trees. When he died in 1778, he was buried inside the church behind the door, a few steps from the keyhole that became his most famous design...

James Lucas

245,553 Aufrufe • vor 5 Monaten

Elon Musk gave the entire entertainment industry its expiration date, and he is the one building the thing that kills it. Musk: “My guess is that we see the first compelling half hour, pure AI show next year.” Next year. A complete show generated entirely by AI. No writers. No actors. No cameras. No sets. No crew. No studio. Just a prompt and enough compute to render a reality that never physically existed. And shows are the easy part. Musk: “I say probably we’re maybe three years away from AI does the whole video game.” A show plays the same way every time. A game has to generate a living world that reacts to every decision in real time across every single frame. That is a fundamentally harder class of problem. And Musk put three years on it. Right now a single AAA title takes seven years and half a billion dollars across thousands of engineers and artists just to ship it. Musk is describing a world where one person types a paragraph and gets something comparable. The entire value proposition of a multi-billion dollar industry lives inside that gap. And it closes in thirty-six months. But the prediction is not the story. The person making it is. This is not an analyst speculating from the sidelines. This is the man building the largest AI compute clusters on the planet. The man who built xAI from zero in under two years. The man stacking hundreds of thousands of GPUs into facilities designed to do exactly what he is describing. When Musk says three years, he is not guessing about what someone else might eventually ship. He is reading you a delivery date off his own roadmap. Every media company on Earth is valued on a single assumption. That quality content is expensive and difficult to produce at scale. That one assumption is the structural foundation underneath every studio, every network, and every publisher in existence. Musk is dismantling it with raw compute. The studios still parading thousand-person production teams are not demonstrating strength. They are advertising the exact cost structure that one person with a prompt and a GPU allocation is about to make irrelevant. And it does not stop at entertainment. If AI can generate an interactive world that responds to human input in real time, it can generate anything. Advertising. Architecture. Training simulations. Product design. Every industry built on humans manually constructing visual experiences frame by frame is sitting on the same countdown Musk just read out loud. Now zoom out. Because this is not just an industry story. For the entire history of human civilization, the distance between imagining a world and actually creating one required thousands of people, millions of hours, and billions of dollars. That distance built Hollywood. That distance built the gaming industry. That distance made content scarce and studios powerful. Musk is collapsing that distance to zero. When the gap between imagining something and it existing disappears, every business model built on the difficulty of creation disappears with it. That is not disruption. That is a full inversion of how human beings create. Musk did not make a casual prediction on that podcast. He told you what he is building. He told you the timeline. And he told you which industries do not survive it. The entertainment industry is still debating whether this future is real. Musk is not part of that debate. He is building. And he just told you the delivery date.

Dustin

22,522 Aufrufe • vor 2 Monaten

💩 SOMEBODY EXPLAIN JOHN ROBERTS TO US. BECAUSE WE CANNOT FIGURE HIM OUT! George W. Bush nominated John Roberts to the Supreme Court in 2005. He was confirmed 78 to 22. Republicans were thrilled. Conservatives had high hopes. He was supposed to be one of us. That was twenty one years ago. Let us look at what we got. Roberts was the deciding vote that saved Obamacare. Twice. In 2012 he rewrote the individual mandate as a tax to make it constitutional when it clearly was not. In 2015 he twisted the plain language of the statute to save it again when the text of the law was clearly on our side. The left was as shocked as we were that he saved it. And then he did it again. He sided with the liberals to strike down Louisiana's abortion clinic regulations in 2020, regulations nearly identical to ones he had previously voted to uphold. He joined the liberals to protect DACA, shielding Obama's unconstitutional amnesty program from being unwound by a Republican president. Today he joined Barrett and the three liberal justices to rule that mail in ballots do not need to be received by Election Day. On an election integrity case, with a Republican president in the White House fighting for the outcome, Roberts went the other way. This is not a one time thing. This is not a coincidence. This is a pattern spanning two decades. Roberts has voted with the liberal bloc on healthcare, immigration, abortion, and now election integrity. The cases that matter most to this movement are the cases where Roberts most often finds a reason to walk across the aisle. His defenders say he is protecting the institutional integrity of the Court. That he is playing a long game. That he is keeping the Court from appearing too political. Here is the problem with that argument. The left does not worry about appearing too political. They never have. They fight for every inch and they do not apologize for it. While Roberts is busy protecting the reputation of an institution, the institution keeps handing defeats to the people who believed in it. We are not asking for a rubber stamp. We are asking for a justice who applies the Constitution as written without one eye permanently fixed on what the New York Times editorial board is going to say the next morning. Alito does that. Thomas does that. Gorsuch does that. Roberts has given us twenty one years of carefully crafted, institutionally minded, reputation protecting decisions that keep landing on the wrong side of the most important fights of our time. George W. Bush picked him. Make of that what you will.

Bill Mitchell

108,623 Aufrufe • vor 3 Monaten