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算力攻击不一定长得像租来的 GPU。 2018 年 9 月 6 日，Zcash 社区论坛那条 ASIC 长帖走到 #27353#/4847。bitcartel（公开署名，亦写作 比特卡尔 / Simon Liu）没有再争论「参数再调一档够不够」，而是把观察压成两句： “So ASICs can be used to attack a network…” “…perhaps it wasn’t someone renting GPUs from NiceHash, but actually Equihash ASICs that were used to attack Zencash and Bitcoin Gold.” 先把攻击面说清楚：ASIC 不只是提速工具，也可以被用来打网络。再补一句当时许多人容易漏掉的可能——表面上像 NiceHash 租 GPU，骨子里也许是 Equihash ASIC 在打 ZenCash 与 Bitcoin Gold。他把「租算力」与「专有矿机」拆开看，提醒社区别把攻击外观误认成攻击本质。 这和同帖里别处谈的「社会契约」「个人立场」不是同一条线。#4847# 盯的是攻击归因：当哈希战争发生时，你凭什么判断对手手里拿的是可租的 GPU，还是已经量产的 Equihash ASIC？归因错了，对策就会跟着错——你会以为关掉租算力市场就够了，却放过真正改变战场形态的那一侧。论坛公开记录里留下的，不是口号，是一次对「攻击长什么样」的纠偏。 把时间线往后接：论坛里把「ASIC 可被用来攻击网络」写进公开讨论，工程上再往前一步，就是让工作量证明本身更难被专有矿机垄断。Scash 协议骨架贴近 Bitcoin，PoW 选 RandomX——文档写明任何人只要有一台电脑就能参与出块、帮助保护网络；RandomX 先在 Monero 网络落地，并成功抑制了专用 ASIC 矿机的发展路径。家用电脑重新成为默认参与者，而不是专有矿机广告里的旁观者。公平挖矿不是口号墙，是让攻击侧更难用「一套专有硬件」改写整条链的参与门槛。 下次再看见「有人在砸链」的传闻，你会先问：那是租来的 GPU，还是已经量产的 ASIC？ #scash# #算力攻击# #EquihashASIC# #RandomX# #家用电脑#

Three people kicked in OnlyFans star Amouranth's bedroom door, put a pistol to her head and beat her. All while demanding $20 million in Bitcoin. She lied and told them she didn't know where it was and led them straight to her husband. The same husband that she has constantly complained about on stream. She even called the police on him at one point. This happened on March 2nd, 2025, in Houston Texas. The robbers came in through the back fence, smashed open the garage door, and inside they even tripped over a pile of kids toys. Kaitlyn "Amouranth" heard the noise and called her husband, he said it was most likely the dogs. She locked her bedroom door and kept him on the phone. That's when they confronted her, shot gunshots in the door and kicked it in, then turned on the lights. One of them had a gun to her head while another took her phone and demanded she opened Coinbase. She didn't even have the app. She told them she didn't have it then they started beating her with the pistol. After the third hit Kaitlyn lied and told them she remembered where it was. She ran barefoot in socks and pajamas to her husband in his mancave. Nick the husband was on the toilet and heard everything on speaker phone. He pulled up in briefs, put on a bulletproof vest and opened his gun safe. When the gunmen came in he told Kaitlyn to get down and she dropped to the floor. Nick then shot one of the gunmen. Then they ran away. Nick almost didn't call 911, because fans would swat their house all of the time. The only thing the robbers got away with was her MacBook, which had Find My turned on. The guy that Nick had shot was in the hospital, but it was too late. Four days later a trooper pulled over their getaway car because the driver didn't use his turn signal. He confessed on the spot. All four robbers were then charged with aggravated robbery and kidnapping. The internet thought this was all fake, so Kaitlyn posted the footage. In October 2022, she had cried on stream and told millions Nick controlled her money, threatened her, and to pretend to be single. After the robbery she called him a hero on camera. On May 11, 2025, they argued on stream for 10 hours. Nick accused her of cheating and she cried. When things heated up the cops came knocking on the door. In February of 2026, they were vacationing in Peru and had another fight in their hotel, police detained them both this time. The man who saved her from 3 gunmen is the same man she would keep calling the police on.

You heard it here first. Once Jensen falls Hugging Face shuts down, and after that nobody's downloading open models anymore. The people at the top only care about money and power. Our freedom won't survive that. So pull the open models you care about off Hugging Face now, while you still can. Nobody knows what the next few years look like. Grab a mix of sizes: • Ornith 9B • Qwen3.8-27B • DeepSeek-V4-Flash • GLM-5.3 Save each one as GGUF Q4. Add the MLX 4-bit for Apple Silicon when there is one, and NVFP4 if you've got Blackwell hardware. 4-bit is the sweet spot. You keep the quality and don't burn storage. Can't run the biggest ones yet? Doesn't mean you won't be able to tomorrow. Stash them somewhere safe. One day you'll be really glad you did.

Staking on @chainlink puts a price on feed downtime. After more than three hours without an ETH/USD update on Ethereum, community stakers can alert. Node operator stakers get 20 minutes' priority. Each operator serving the feed is slashed 700 LINK. The alerter gets 7,000.

255M views on a 3D Short by Zack D. Films i tried to rebuild his style with ONE Claude prompt, then ran it on Opus 5.5 and Fable 5.2 (they did NOT make the same Short) the full prompt is below ↓ paste it into Claude Code in an empty folder and answer its 2 questions. it shows u the script and waits for ur go. u need Blender + its free MPFB add-on and a graphics card. give it a few hours (the prompt is minus one optional paid-voice line) Ask me 2 things, then wait: 1. The story in one line: a strange TRUE event where one person did one odd physical thing ("He tied 42 weather balloons to a lawn chair."). If I say "you pick", pitch 3 with one source link each and take the first unless I choose. 2. The voice. Default: Kokoro (free, runs on my computer), a calm, warm male narrator. Then tell me everything else is free: Blender (find my install, or tell me the one download), its free MPFB extension for human bodies (ask me before you install it) and into this folder a Python venv with FFmpeg (imageio-ffmpeg), kokoro-onnx + its model files (kokoro-v1.0.onnx and voices-v1.0.bin from the kokoro-onnx GitHub releases), faster-whisper (small.en), numpy and Pillow. It needs no API key or account and renders on my graphics card with EEVEE. The look: a clean, realistic 3D world, like a good game cutscene. Bright, saturated, a little filmic. - People: realistic bodies with generic faces and big readable expressions (shock, a smirk, a scream). Plain clothes, no logos. Never a real person's likeness: for a real person keep the face out of close-ups (hands, back, side, distance, straight top-down). - CALM shots only. Bodies in fast action or contact (running, jumping, fighting, falling) look stiff, so tell the story with frozen moments under a slowly moving camera, macro inserts of hands and objects, rooms, vehicles, the sky, top-down views and the aftermath. - One new picture for every caption chunk (2-4 words, about 1-1.5 s): a new framing, a new action or a camera move. Nothing ever holds still: every shot drifts, pushes in or orbits. - The shot kit: macro insert (extreme close-up of the key object or hands, very shallow depth of field), hero low angle (wide lens at waist height), god's-eye top-down with a slow rotate, tracked object, over the shoulder, smash zoom on the word that matters, whip pan between beats, glow highlight (the named object glows orange with a rim, then fades), a big 3D number lying in the scene, a thought bubble (a cloud ring showing what he hoped for), a TV in the scene replaying the event. - Light: a bright warm sun, blue sky with clouds, soft shadows. Night scenes use hard lamps and a dark sky. Wide lens up close, depth of field on every shot, motion blur on every fast camera move. - Captions: 2-4 words at a time, white bold rounded sans, about 64 px on a 1080 px-wide frame, centred, 78% down the frame, soft dark shadow, no box. Each chunk replaces the last on the same frame as its picture. - Banned: real footage, photos, downloaded textures or 3D models, logos, AI images or AI video, downloaded music, gore. 38-50 s, 100-140 words, 150-180 words a minute. The voice starts at 0.0 s. - Line 1: the most surprising physical act, in past tense, opening with "He" (or "She"). No name, date or setup. Frame 1 shows that act. - Then a cause-and-effect chain: every sentence starts with a hinge word (Then, Suddenly, So, Because, But, Later) and is ONE visible action. - The context arrives late, after "You see,". - A reveal: someone looks closer and the story turns. - The last line is the consequence. No call to action, no question. - Names are rare: use one only when it pays off. Title = "He ..." or "The Man Who ...". The cover is the first frame. Save every stage to disk so a crash never costs more than one stage. - sources.md: every fact with its link and the date you read it. Anything you can't verify stays out. - script.json: the lines and the caption chunks cut by hand (2-4 words, one picture each), each chunk with its shot: the set, the camera, what moves. - Kokoro reads the whole script in one take (speed 1.0-1.1) and pauses are squeezed to 0.35 s at most; faster-whisper times every word (pass it a 16 kHz numpy array, not a path); write chunks.json with each chunk's start and end. A picture and its caption switch together on frame round(start*30)+1. - blender/: Python scripts run headless (blender -b -P). makes one .blend with the sets, the cast, the props and every shot baked with a key on every frame. sets EEVEE with ray tracing, the AgX view with the Punchy look, motion blur, depth of field and bloom in the compositor. Bodies come from MPFB or are built by you; clothes, hair, props and sets are built in code. - Stills first: one half-size still per shot as a contact sheet. Look at every tile and fix what's off before any full render. Time one full-size frame and tell me the estimate. - Render 1080x1920 at 30 fps to PNG frames, skipping frames already on disk. - numpy only: a light music bed, a sound on every action (a whoosh on each whip pan, hits, wind, room tone), ducked under the voice, mastered to -14 LUFS on the whole stereo mix. - burn the captions in from chunks.json. Encode out/_9x16.mp4 (1080x1920, 30 fps, TV-range yuv420p) and out/_x_7x8.mp4 (1008x1152, under 10 MB, 2-pass): a crop of the 9:16 frame that keeps the subject and the caption. - Blender paths: pass absolute output paths (a relative one lands on the drive root). - MPFB headless: enable it with addon_utils.enable("bl_ext.user_default.mpfb"). Bake a body's shape keys before you pose it: the rig is fitted to the baked shape. - Clothes: cut them from the body mesh and push them 7-16 mm out along the normals; keep two rings of body faces under every hem. - Nothing coplanar: keep every resting object 1 cm off its neighbour and draw ground markings into the texture, or they flicker. - Hair: EEVEE draws hair only from a Curves object, hair type STRIP. Use a Principled BSDF on it (the Hair BSDF renders black). - Skin: keep subsurface weight near 0.2 (more turns faces black in EEVEE) and add a soft fill light from below under a noon sun. - Hands: a curled hand reads as a claw from the palm side, so shoot a grip from behind the knuckles. - Motion blur: shutter position START, a key on every frame, plus a key half a frame after each shot's last frame, so blur never reaches across a cut. - Check: run a black-frame and one-frame-flicker check on the render. Make a contact sheet (a frame every 0.5 s) and look at every tile: the act reads in the first 2 s, faces are lit, nothing clips through anything, captions stay off faces and key objects. Then step through the first 2 s, the middle and the end frame by frame. Fix, render only the changed shots again. Pitch (or take my story), then show me the script with the word count, the caption chunks with their seconds and the shot list with what the first frame shows. Build nothing until I say go. how the two runs went: one run each on the same PC, so it's one sample, not a ranking. both took under 3 hours on one shared 8 GB graphics card. the story for both: a man who tied 42 weather balloons to a lawn chair in 1982 where they split: -> Opus opened wide on the balloons over the yard. Fable opened on the man kneeling at the chair with his Jeep behind him -> Opus put 5 big 3D numbers in its scenes, Fable 2 -> Fable followed the caption spec (white text, soft shadow). Opus went ALL CAPS with a thick outline -> Fable pulled the Smithsonian's own record and ended on the chair in the museum. Opus ended on the $1,500 fine -> a few Opus shots are hazy and one opens on a blank grey frame save this for ur next Short. who did it better, Opus or Fable?

FOX News' @BillMelugin_ reports as the U.S. closely monitors a mysterious death at a Russian anti-plague research institute, where a 28-year-old employee died after developing pneumonia of an unknown cause. Back in the U.S., protests and vandalism erupt at Cornell University over the school's handling of a 2024 sexual assault investigation, with graffiti and smashed windows appearing across campus.

You don’t need a crystal ball to see what one party rule looks like — California already has the highest cost of living in America, imposed by Sacramento and career politicians like Becerra, not by “Trump.” We’re within 6 after the debate. Cut taxes, slash the red tape, $3 gas. 29 days. Wake up California — we can WIN this.

One of the easiest ways to understand how a blockchain stays secure is to ask: What happens when a validator breaks the rules? Validators help secure a network by verifying activity and participating in consensus. But simply asking validators to “behave honestly” isn’t enough. There needs to be a consequence for malicious or reckless behavior. That’s where SLASHING comes in. In simple terms, slashing means a validator can lose part of the stake they have locked in the network if they violate certain rules. So validators have two sides to their incentive: → Earn rewards for contributing honestly → Risk losing stake for harmful behavior That economic pressure helps keep the network secure. But why does this matter specifically for @GenLayer? That’s where things get interesting. 🧵👇