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EVIL KYNAN VERTEX ALPHA AR -5 HD FLOW AIM MAX

Rektygon's Dad

7,132 subscribers

27,942 просмотров • 1 год назад •via X (Twitter)

Игры Спорт

Anya Rossi• Live Now

Private livecam show

Комментарии: 10

Фото профиля ahasver

ahasver1 год назад

twitter compression so bad you can still see the circles after they faded away

Фото профиля Ab(n1nj4)Dive

Ab(n1nj4)Dive1 год назад

Evil Kynan: EAT BURGERS, DRINK SODA, DON'T WORK OUT

Фото профиля vastly

vastly1 год назад

wtf is wrong with you

Фото профиля 2 Time Honesty 1 Slider Break Champion

2 Time Honesty 1 Slider Break Champion1 год назад

Bro I know like 5 players capable of this and youre 6 of them

Фото профиля gurbonsk

gurbonsk1 год назад

thats insane

Фото профиля Kori 🏳️‍⚧️

Kori 🏳️‍⚧️1 год назад

skin?

Фото профиля Rektygon's Dad

Rektygon's Dad1 год назад

@KoriVRCMusic

Фото профиля Kojio

Kojio1 год назад

?

Фото профиля Mornis

Mornis1 год назад

Nanyk in 2014

Фото профиля EnigmaIsBoss🎼

EnigmaIsBoss🎼1 год назад

evil kynan in 2014:

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MAVERICK X

199,281 просмотров • 9 месяцев назад

this is either the smartest or dumbest 😭 decision i’ve made for my app i pivoted my already approved app entirely > new app flow > AR tracking > Gamification > new app loop everything done in just a few days with help off Rork Max + Opus 4.6 is my app more of a gym app or a productivity app now? awaiting screen time API approval

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Jah Mills

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Ash Echoes

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Farmercist 👨‍🌾 🦅

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Kai

995,956 просмотров • 1 месяц назад

$🧑‍🏫 How to make a glass/refraction shader: 🍷 Refraction will ultimately have the effect that whatever is behind your mesh should appear distorted by the surface of the mesh itself. We're not going for external caustics projection, just modelling glass-like, distorting "transparency". 🌆 In Unity, you can sample the *global* _CameraOpaqueTexture (make sure it's enabled in your URP asset settings), which is what your scene looks like rendered without any transparent objects. In Shader Graph, you can simply use the Scene Colour node. 🔢 The UVs required for this texture are the normalized screen coordinates, so if we offset/warp/distort these coordinates and sample the texture, we ultimately produce a distorted image. We can offset the UVs by some normal map, as well as a refraction vector based on the direction from the camera -> the vertex/fragment (flip viewDir, which is otherwise vertex/fragment -> camera) and normals of the object. 📸 Input the (reversed) world space view direction and normal into HLSL refract. **Convert the refraction direction vector to tangent space before adding it to the screen UV.** Use the result to sample _CameraOpaqueTexture. refract(-worldViewDirection, worldNormal, eta); eta -> refraction ratio (from_IOR / to_IOR), > for air, 1.0 / indexOfRefraction (IOR). IOR of water = 1.33, glass = 1.54... 💡 You can also do naive "looks about right" hacks: fresnel -> normal from grayscale, which can be used for distortion. Or distort it any other way (without even specifically using refract at all), really... 🧠 Thus, even if your object is rendered as a transparent type (and vanilla Unity URP will require that it is), it is fully 'opaque' (max alpha), but it renders on its surface what is behind it, using the screen UV. If you distort those UVs by the camera view and normals of the surface it will be rendered on, it then appears like refractive glass on that surface. > Transparent render queue, but alpha = 1.0.$

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Mirza Beig

125,253 просмотров • 1 год назад

Stretching unlocks flexibility which unlocks everything else. I change the flow constantly, but here is an example of my daily stretching/warmup routine before I run & lift. This can all be done in a small space, so consistency is in your control. Revving the Engine: 16 real minutes (6-7X speed video) -Sky circles -Stretch right / left -Touch toes -Opposite hand to foot (& switch) -Yoga balance sequence -Wide touch toes -Groin stretches -Downward facing dog into upward -10 knee to elbow -Lunge twist stretch -Downward facing dog into upward -10 knee to elbow -Lunge twist stretch --Downward facing dog into upward -Side planks 5 knee to elbow / 5 starfish leg lifts (left & right) -Plank into back bridges / arches -20 donkey kicks each leg -Butterfly / touch toes / grab each foot -Pretzel stretches -100 cruches -50 leg lifts (aim to lift entire lower body) -Plank, downward dog, upward dog -Walk hands to feet -100 air squats -10 calf raise from tippy toes -Squatting twists -7 slow pull-ups Working on music #BarstoolFitness

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Matthew Piper Jenks 🧲

230,915 просмотров • 1 год назад

i'm building an AI-powered system for reversing health conditions (announcement) update 01 — the mission & opportunity i aim to spend the next 3-5 years solving as many health conditions as possible. up to now this has required a high degree of man power, with AI steadily creeping into our work flow at aura. as of 27/11, we'll be harnessing AI's full power to provide personalised human-reviewed solutions. (to all program members) too often people are coming to us having tried similar solutions, being met with nice UI and stunning dashboards. 6 months later, nothing has changed. having suffered from seemingly “chronic” health issues myself, passed repeat prescriptions for life and being told nothing can be done. i understand what people in this situation actually want: results. nothing more. that is what we will provide. available to waiting list only (Nov 27) — join here:

i'm building an AI-powered system for reversing health conditions (announcement) update 01 — the mission & opportunity i aim to spend the next 3-5 years solving as many health conditions as possible. up to now this has required a high degree of man power, with AI steadily creeping into our work flow at aura. as of 27/11, we'll be harnessing AI's full power to provide personalised human-reviewed solutions. (to all program members) too often people are coming to us having tried similar solutions, being met with nice UI and stunning dashboards. 6 months later, nothing has changed. having suffered from seemingly “chronic” health issues myself, passed repeat prescriptions for life and being told nothing can be done. i understand what people in this situation actually want: results. nothing more. that is what we will provide. available to waiting list only (Nov 27) — join here:

Ben Smith

32,916 просмотров • 8 месяцев назад

NVIDIA AI Open-Sources ViPE (Video Pose Engine): A Powerful and Versatile 3D Video Annotation Tool for Spatial AI ViPE integrates bundle adjustment with dense optical flow, sparse keypoint tracking, and metric depth priors to estimate camera intrinsics, poses, and dense depth maps at 3–5 FPS on a single GPU. It significantly improves over prior uncalibrated pose estimation methods, achieving 18% and 50% error reduction on TUM and KITTI benchmarks, respectively, and shows robustness to dynamic scenes and diverse camera models. Beyond the method, the NVIDIA team also released a large-scale dataset comprising ~100K real-world internet videos, 1M AI-generated videos, and 2K panoramic videos (≈96M frames) annotated with metric depth and poses. This dataset and engine aim to accelerate training for spatial AI tasks such as 3D reconstruction, video generation, and robotics.... full analysis: paper: codes: NVIDIA NVIDIA AI NVIDIAnewsroom NVIDIA Robotics NVIDIA AIDev NVIDIAdeveloper

NVIDIA AI Open-Sources ViPE (Video Pose Engine): A Powerful and Versatile 3D Video Annotation Tool for Spatial AI ViPE integrates bundle adjustment with dense optical flow, sparse keypoint tracking, and metric depth priors to estimate camera intrinsics, poses, and dense depth maps at 3–5 FPS on a single GPU. It significantly improves over prior uncalibrated pose estimation methods, achieving 18% and 50% error reduction on TUM and KITTI benchmarks, respectively, and shows robustness to dynamic scenes and diverse camera models. Beyond the method, the NVIDIA team also released a large-scale dataset comprising ~100K real-world internet videos, 1M AI-generated videos, and 2K panoramic videos (≈96M frames) annotated with metric depth and poses. This dataset and engine aim to accelerate training for spatial AI tasks such as 3D reconstruction, video generation, and robotics.... full analysis: paper: codes: NVIDIA NVIDIA AI NVIDIAnewsroom NVIDIA Robotics NVIDIA AIDev NVIDIAdeveloper

Marktechpost AI Dev News ⚡

217,453 просмотров • 10 месяцев назад

THIS PORTABLE HACKER KIT PACKS A RASPBERRY PI 5 WITH 16GB OF RAM AND A 512GB NVME THAT ALSO RUNS LOCAL LLMs, KILLED $200 CLAUDE CODE MAX AND $200 CHATGPT PRO SUBSCRIPTIONS THE DAY IT WENT MOBILE 00:08 he sets down the pi and starts the tour, "this is my raspberry pi 5, 16 gigs of ram, 512 gigabyte nvme ssd storage, this thing means business" the kit stacks the pi next to a bluetooth analyzer, a 5g wifi router with a battery, and a pen-testing dongle for packet injection, the whole rig runs off usb-c and fits in a shoulder bag he uses it for evil-twin wifi tests and bluetooth device audits, and the same pi 5 also handles ollama with a 7b or 14b model locally at usable speed with every packet capture staying inside the case claude code points at localhost through a single environment variable, the cli behaves identically to the cloud version except every token generates on the pi in his hand and the api bill never arrives $200 chatgpt pro and $200 claude code max used to hit the same card that pays his internet, the whole subscription stack died the day the pi got mobile and ai bills went to zero because the model runs on the same box that runs his packet capture bookmark this and read the article below

THIS PORTABLE HACKER KIT PACKS A RASPBERRY PI 5 WITH 16GB OF RAM AND A 512GB NVME THAT ALSO RUNS LOCAL LLMs, KILLED $200 CLAUDE CODE MAX AND $200 CHATGPT PRO SUBSCRIPTIONS THE DAY IT WENT MOBILE 00:08 he sets down the pi and starts the tour, "this is my raspberry pi 5, 16 gigs of ram, 512 gigabyte nvme ssd storage, this thing means business" the kit stacks the pi next to a bluetooth analyzer, a 5g wifi router with a battery, and a pen-testing dongle for packet injection, the whole rig runs off usb-c and fits in a shoulder bag he uses it for evil-twin wifi tests and bluetooth device audits, and the same pi 5 also handles ollama with a 7b or 14b model locally at usable speed with every packet capture staying inside the case claude code points at localhost through a single environment variable, the cli behaves identically to the cloud version except every token generates on the pi in his hand and the api bill never arrives $200 chatgpt pro and $200 claude code max used to hit the same card that pays his internet, the whole subscription stack died the day the pi got mobile and ai bills went to zero because the model runs on the same box that runs his packet capture bookmark this and read the article below

starmex

25,094 просмотров • 15 дней назад

We deployed 20+ AI agents & replaced our entire SDR team at SaaStr itself. 60K hyper-personalized emails. 70% open rates on ghosted leads. 15% of London ticket revenue from AI alone. The 5 things that actually work: 1️⃣ AI crushes the work humans refuse to do (small leads, follow-ups, "not worth my time" leads) 2️⃣ "Pretty good" emails at scale beat inconsistent brilliance—aim for average SDR quality with 24/7 consistency 3️⃣ Train agents like your best new hire: nail it with humans first, then hand off 4️⃣ Segment ruthlessly—800-1K contacts max per campaign, never blast your whole database 5️⃣ You need exactly 2 humans: a forward-deployed engineer from the vendor + a GTM nerd on your team Biggest mistake? We left 15% of revenue on the table for 6 years because humans wouldn't do the work. AI doesn't discriminate

We deployed 20+ AI agents & replaced our entire SDR team at SaaStr itself. 60K hyper-personalized emails. 70% open rates on ghosted leads. 15% of London ticket revenue from AI alone. The 5 things that actually work: 1️⃣ AI crushes the work humans refuse to do (small leads, follow-ups, "not worth my time" leads) 2️⃣ "Pretty good" emails at scale beat inconsistent brilliance—aim for average SDR quality with 24/7 consistency 3️⃣ Train agents like your best new hire: nail it with humans first, then hand off 4️⃣ Segment ruthlessly—800-1K contacts max per campaign, never blast your whole database 5️⃣ You need exactly 2 humans: a forward-deployed engineer from the vendor + a GTM nerd on your team Biggest mistake? We left 15% of revenue on the table for 6 years because humans wouldn't do the work. AI doesn't discriminate

SaaStr.ai

67,321 просмотров • 7 месяцев назад

Space Nation Ultimate Ship Configuration and Strategy Guide Ready to dominate Space Nation 🛸? Here is a guide that provides essential tips on configuring your NFTs, utilizing your fleet, and maximizing rewards through gameplay strategies: 1. Space Nation NFT Staking Staking is crucial to use your NFTs in-game. Head to the staking address: Ships: Stake long-term. Other NFTs: Stake for 3 days; you can unstake anytime for transactions. 2. Top-Grade Account NFT Configuration 4 Alpha Gates: Maximize contribution percentage in-game. 10 Avatars: Boost achievement points, no need for rarity—just fill up with avatars. Essential Ships: T1 Combat Ships: Own 1 (cheapest is the Enforcer) or 5 for each ship type. T2 Combat Ships: Own 1 (cheapest is the Humpback). T1 Mining Ship: Optional, own one for added efficiency. T1 Exploring Ship: Recommended for chip production and market sales. Crew Members: 5 blue crew members provide the best value. Additional NFTs: Hold 1 Certificate of Glory for added rewards. 3. Top-Grade Account Strategy Stake NFTs: Stake all assets, with long-term staking for ships. Game Progression: Start upgrading fast, swap to T1 ships, and buy cheap green weapons and ship parts in the auction. Ship Leasing: Rent spare combat and mining ships for in-game currency (CHR). Lease them for 3 days, twice weekly. Daily Tasks: Use T1 ships until level 45, switch to T2 ships afterward. Complete daily missions and chip instances using T2 ships. Aim for 1000 activity points weekly for max contribution. Suggested weekly tasks: Kill 500/1500 enemy ships, using 100 repair bots. Achieve 5/15 A-rank scores in chip instances. Join a large guild and participate in guild boss battles at least once a week. Donate strategic materials to the guild for 100,000 points. Lease ships, craft 5/15/30 parts weekly, and participate in PvP. 4. Secondary Accounts Setup: T1 and T2 ships, an explorer ship, and a Certificate of Glory. Upgrade quickly to 20+ level and get green weapons. Daily Tasks: Explore daily using the explorer ship. Use T1 ships for missions and T2 for chip instances. Weekly tasks like boss battles, donations, and crafting for 1000 activity points. 5. Mini Accounts Setup: One T1 ship and a Certificate of Glory. Quickly upgrade to 20+, focusing on missions and chip instances. Daily Tasks: Follow a similar structure to secondary accounts but focus on basic tasks. Aim for 500 enemy ship kills weekly, along with chip missions, guild participation, and crafting. #spacenation

Space Nation Ultimate Ship Configuration and Strategy Guide Ready to dominate Space Nation 🛸? Here is a guide that provides essential tips on configuring your NFTs, utilizing your fleet, and maximizing rewards through gameplay strategies: 1. Space Nation NFT Staking Staking is crucial to use your NFTs in-game. Head to the staking address: Ships: Stake long-term. Other NFTs: Stake for 3 days; you can unstake anytime for transactions. 2. Top-Grade Account NFT Configuration 4 Alpha Gates: Maximize contribution percentage in-game. 10 Avatars: Boost achievement points, no need for rarity—just fill up with avatars. Essential Ships: T1 Combat Ships: Own 1 (cheapest is the Enforcer) or 5 for each ship type. T2 Combat Ships: Own 1 (cheapest is the Humpback). T1 Mining Ship: Optional, own one for added efficiency. T1 Exploring Ship: Recommended for chip production and market sales. Crew Members: 5 blue crew members provide the best value. Additional NFTs: Hold 1 Certificate of Glory for added rewards. 3. Top-Grade Account Strategy Stake NFTs: Stake all assets, with long-term staking for ships. Game Progression: Start upgrading fast, swap to T1 ships, and buy cheap green weapons and ship parts in the auction. Ship Leasing: Rent spare combat and mining ships for in-game currency (CHR). Lease them for 3 days, twice weekly. Daily Tasks: Use T1 ships until level 45, switch to T2 ships afterward. Complete daily missions and chip instances using T2 ships. Aim for 1000 activity points weekly for max contribution. Suggested weekly tasks: Kill 500/1500 enemy ships, using 100 repair bots. Achieve 5/15 A-rank scores in chip instances. Join a large guild and participate in guild boss battles at least once a week. Donate strategic materials to the guild for 100,000 points. Lease ships, craft 5/15/30 parts weekly, and participate in PvP. 4. Secondary Accounts Setup: T1 and T2 ships, an explorer ship, and a Certificate of Glory. Upgrade quickly to 20+ level and get green weapons. Daily Tasks: Explore daily using the explorer ship. Use T1 ships for missions and T2 for chip instances. Weekly tasks like boss battles, donations, and crafting for 1000 activity points. 5. Mini Accounts Setup: One T1 ship and a Certificate of Glory. Quickly upgrade to 20+, focusing on missions and chip instances. Daily Tasks: Follow a similar structure to secondary accounts but focus on basic tasks. Aim for 500 enemy ship kills weekly, along with chip missions, guild participation, and crafting. #spacenation

DeGame

21,990 просмотров • 1 год назад

NEWS: Tides of Annihilation 🚀 Latest info 😎 Gameplay: ✅Interconnected realms ✅Challenging bosses ✅4 main weapons (fists, swords, bows) ✅Various armors ✅Different play styles ✅Dual-knights combat system ✅Light RPG elements ✅Customizations (hair, outfits, make-up) ✅Skill trees ✅Over 10 spectral knights ✅Over 30 hours playtime ✅Over 30 boss fights Setting: ✅Interconnected realms ✅Modern London with medieval fantasy ✅Avalon realm from Arthurian legends ✅Knights of the Round Table lore Performance: ✅PS5 Pro Enhanced ✅Ray-tracing ✅Unreal Engine 5 Development: ✅Dev: Tides of Annihilation (Eclipse Glow) ✅Unreal Engine 5 ✅Developed for consoles and PC ✅Was in alpha stage in 2024 ✅Entered beta stage in 2025 ✅Tentative launch window in 2026 ✅Targets western audience ✅Hence the Arthurian legend focus ✅Black Myth targets Chinese market ✅Tencent invested in both this and Black Myth: Wukong Additional Specs: ✅Coming with RTX On ✅Featuring DLSS 4 ✅Multi Frame Generation ✅Max performance Play or pass?🎮

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Rino

109,766 просмотров • 1 год назад

I built a powerful real-time edge terminal specifically for Polymarket - multi-timeframe dashboard covering all coins! (100% FREE & fully open-source) In one sentence: This Python bot gives you live alpha on Polymarket’s Up/Down crypto binaries by fusing real-time Binance order flow, current Polymarket probabilities, and multi-TF technical analysis. Spot mispricings fast - where the market odds haven’t yet caught up to momentum, aggressive delta, or strong signals. Perfect for lightning-fast 15-minute scalps (markets resolve every 15 min with constant repricing) or cleaner swings on 1h / 4h / daily horizons. Pure decision-support tool - no auto-trading, just sharp, actionable insight delivered straight to your terminal. > Coins covered: BTC, ETH, SOL, XRP > Timeframes: 15m, 1h, 4h, daily - All 16 market combinations are live and heavily traded on Polymarket (especially the 15m contracts - ultra-fast flips) Features at a glance: > Streams live trades + full order book from Binance > Pulls real-time Up/Down prices & depth via Polymarket WebSocket > Computes 11+ indicators on the fly > Rolls everything up into a clear BULLISH / BEARISH / NEUTRAL bias score + probability estimate per timeframe > Displays a clean, colorful, auto-refreshing terminal dashboard Order-book signals: > OBI (imbalance) > visible buy/sell walls > liquidity depth (0.1% / 0.5% / 1.0%) > net flow & volume > CVD (across 1m/3m/5m windows) > 1m delta > Volume Profile + POC Technical indicators: > RSI (14) > MACD (12/26/9) + signal line + histogram > VWAP > EMA 5 / EMA 20 cross >Heikin-Ashi candle streak count Important: this is NOT an auto-trading bot. It highlights where Polymarket odds are lagging real Binance order-flow and multi-timeframe TA - giving you an edge on 15m scalping, 1–4h momentum trades, and daily directional confirmation. Built with: Python (asyncio + Rich/Textual for a slick CLI look) One-line start: python Refreshes every few seconds Completely free & open-source → GitHub repo Want access? Like + RT + drop a reply or quote below - I’ll DM you the GitHub link Don’t miss the edge - especially on those 15-minute markets that flip every quarter hour. Seeing all timeframes at once is real alpha. Here’s to green candles and fat PnL!

st1ne

175,339 просмотров • 5 месяцев назад

Grok 4 prompt to generate the video's generative art: You are an expert P5.js developer with expertise in generative art, mathematics (vector fields, Perlin noise), and aesthetic design. Create a visually stunning, interactive particle flow field sketch that mimics ethereal, fluid dynamics with glowing trails and cosmic vibes. Key Features to Implement Exactly: Use P5.js via CDN (version 1.4.0). 1500 particles with random positions and sizes (1-4 pixels). Flow field via multi-layered Perlin noise: base noise + 0.5 * octave at 2x scale, using 3D noise with zOff incrementing by 0.002 per frame; noiseScale = 0.005. Particle physics: Vectors for pos, vel, acc; maxSpeed = 3; force mult 0.15. Dynamic colors: 5-color palette in HSV, baseHue = (frameCount * 0.1) % 360, each hue offset by 72 (pentadic), saturation 80, value 100, alpha 8; update in draw(). Interactivity: Mouse press attracts particles with normalized vector force, strength 0.05 * (1 / (dist + 1)). Aesthetics: Additive blendMode(ADD); noStroke; background fade fill(0,5) rect over canvas; variable sizes for depth. Utilities: Edge wrapping in Particle class; windowResized to resize canvas and reset background. Comments: Explain enhancements (time-based colors, mouse interaction, layered noise, trails), math (vector attraction, multi-octave noise). Step-by-Step Reasoning for Your Response: Analyze: Dissect user intent for aesthetics (glowing, dynamic, interactive) and math (noise layers, forces). Plan Code: setup() for init (canvas full window, particles, placeholders); draw() for fade, color update, zOff++, particle loop; Particle class with constructor, update (noise angle, force, mouse attract, physics), display, edges. Implement: Write modular, readable code with exact values; ensure performance. Verify: Mentally run: Particles flow smoothly, colors cycle, mouse pulls inversely, no errors on resize/edges. Enhance Output: Rate aesthetics/correctness (target 9.5/10); suggest tweaks (e.g., numParticles for perf). Output Structure: Full HTML with for P5.js code. Explanation: Brief on visuals/math/customizations/running.

Grok 4 prompt to generate the video's generative art: You are an expert P5.js developer with expertise in generative art, mathematics (vector fields, Perlin noise), and aesthetic design. Create a visually stunning, interactive particle flow field sketch that mimics ethereal, fluid dynamics with glowing trails and cosmic vibes. Key Features to Implement Exactly: Use P5.js via CDN (version 1.4.0). 1500 particles with random positions and sizes (1-4 pixels). Flow field via multi-layered Perlin noise: base noise + 0.5 * octave at 2x scale, using 3D noise with zOff incrementing by 0.002 per frame; noiseScale = 0.005. Particle physics: Vectors for pos, vel, acc; maxSpeed = 3; force mult 0.15. Dynamic colors: 5-color palette in HSV, baseHue = (frameCount * 0.1) % 360, each hue offset by 72 (pentadic), saturation 80, value 100, alpha 8; update in draw(). Interactivity: Mouse press attracts particles with normalized vector force, strength 0.05 * (1 / (dist + 1)). Aesthetics: Additive blendMode(ADD); noStroke; background fade fill(0,5) rect over canvas; variable sizes for depth. Utilities: Edge wrapping in Particle class; windowResized to resize canvas and reset background. Comments: Explain enhancements (time-based colors, mouse interaction, layered noise, trails), math (vector attraction, multi-octave noise). Step-by-Step Reasoning for Your Response: Analyze: Dissect user intent for aesthetics (glowing, dynamic, interactive) and math (noise layers, forces). Plan Code: setup() for init (canvas full window, particles, placeholders); draw() for fade, color update, zOff++, particle loop; Particle class with constructor, update (noise angle, force, mouse attract, physics), display, edges. Implement: Write modular, readable code with exact values; ensure performance. Verify: Mentally run: Particles flow smoothly, colors cycle, mouse pulls inversely, no errors on resize/edges. Enhance Output: Rate aesthetics/correctness (target 9.5/10); suggest tweaks (e.g., numParticles for perf). Output Structure: Full HTML with for P5.js code. Explanation: Brief on visuals/math/customizations/running.

tetsuo

44,518 просмотров • 7 месяцев назад