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a hand-tracked knob interface where different finger combinations let you rotate and reveal parts of a jet engine: ✌️ core 👌 fan section 🖐️ exhaust/nozzle 3d model by beyond.zht on sketchfab (CC BY 4.0)

Kat ⊷ the Poet Engineer

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35,441 görüntüleme • 1 yıl önce •via X (Twitter)

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One of the smartest parts of a jet engine... and you never see it. These are the Variable Stator Vanes (VSVs). As engine power changes, they rotate by tiny amounts to keep the airflow smooth through the compressor. It may not look like much... But without them, a modern jet engine could become unstable and suffer a compressor stall during rapid throttle changes.

One of the smartest parts of a jet engine... and you never see it. These are the Variable Stator Vanes (VSVs). As engine power changes, they rotate by tiny amounts to keep the airflow smooth through the compressor. It may not look like much... But without them, a modern jet engine could become unstable and suffer a compressor stall during rapid throttle changes.

Mechanical Knowledge

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1/ What a fantastic reveal on Wednesday! In this thread, we would like to show you a selection of combinations of the Mercedes-Benz NXT Icons from “The Era of Luxury”. Let us start with Mercedes-Benz NXT Icons #41 collected by Pakwalker. ↓

1/ What a fantastic reveal on Wednesday! In this thread, we would like to show you a selection of combinations of the Mercedes-Benz NXT Icons from “The Era of Luxury”. Let us start with Mercedes-Benz NXT Icons #41 collected by Pakwalker. ↓

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⚠️ huge redebut model spoilers ⚠️ I'm just too excited to not share a WIP sneak peek of my new model in Warudo @ Hakuya Labs's warudo with StretchSense 🫶's finger tracking gloves ✌️🏻lookit them go!! model concepted and 3d modeled by the one and only ☽ Vezonia ☾, of course.

⚠️ huge redebut model spoilers ⚠️ I'm just too excited to not share a WIP sneak peek of my new model in Warudo @ Hakuya Labs's warudo with StretchSense 🫶's finger tracking gloves ✌️🏻lookit them go!! model concepted and 3d modeled by the one and only ☽ Vezonia ☾, of course.

𝗩𝗜𝗦𝗖𝗘𝗥𝗔𝗘 🗡️🩸 offkai

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This 3D chart visualizes how adjusting Jupiter’s impact scalar and base fee (a bivariate approach) influences order costs on Jupiter vs. Binance. The objective function axis reflects this cost difference across various SOL trade sizes. Valleys represent optimal combinations where Jupiter is most competitive. By analyzing this visualization, Jupiter can fine-tune its pricing strategy to compete effectively with Binance across different trade sizes.

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Gauntlet

11,419 görüntüleme • 1 yıl önce

subagents are just recursive agents where you can apply different prompts + models depending on the task. since they’re just a primitive, Cursor cli can actually spawn subagents by calling cursor-agent in headless mode via shell commands. that’s what makes the cli so nice. you can extend it, experiment, and have a lot of fun exploring orchestration patterns. here’s one way to do it w. dynamic model selection: 1. create a subagents.mdc rule 2. drop in: ``` --- alwaysApply: true --- ALWAYS spawn subagents by running `cursor-agent -p [task] --output-format=text --force --model [model]` in the terminal. Each subagent should return a summary of the changes it made. Subagents should be used for ALL tasks You can adopt a fan-out pattern where you spawn subagents to perform parallel isolated tasks, and then fan-in the results. Use the following models: - `--model gpt-5` for reasoning, researching, and planning - `--model sonnet-4` for implementation ``` 3. start cursor cli and try it out you can also adjust the rule to be more explicit when it should use subagents, when not to, which models when etc.

subagents are just recursive agents where you can apply different prompts + models depending on the task. since they’re just a primitive, Cursor cli can actually spawn subagents by calling cursor-agent in headless mode via shell commands. that’s what makes the cli so nice. you can extend it, experiment, and have a lot of fun exploring orchestration patterns. here’s one way to do it w. dynamic model selection: 1. create a subagents.mdc rule 2. drop in: ``` --- alwaysApply: true --- ALWAYS spawn subagents by running `cursor-agent -p [task] --output-format=text --force --model [model]` in the terminal. Each subagent should return a summary of the changes it made. Subagents should be used for ALL tasks You can adopt a fan-out pattern where you spawn subagents to perform parallel isolated tasks, and then fan-in the results. Use the following models: - `--model gpt-5` for reasoning, researching, and planning - `--model sonnet-4` for implementation ``` 3. start cursor cli and try it out you can also adjust the rule to be more explicit when it should use subagents, when not to, which models when etc.

eric zakariasson

57,554 görüntüleme • 11 ay önce

✨ Made a new mini feature on Photo AI: [ Grab from 3d model ] So the problem is we're at that stage in time (typical for AI) where image-to-3d models are not good enough but are fun to play with, but we know they'll be good enough in 1-2 years With [ Make 3d model ] you already can turn any Photo AI pic into a 3d model but it still looks hyper clunky and deformed, but it works! One cool idea I had to make that more useful and made now: Let people make a 3d model then change the view of the it with the 3d viewer, then press [ o ] and it grabs a frame of the 3d That image you can then [ Remix ] (img2img), and it becomes a real photo again and that in turn you can then turn into a video again with [ Make video ] So that essentially gives you a fully freeform camera position control to take photos with One thing I need to fix is the background/skybox, I kinda need to take the original photo and remove the person and just get the background for the 3d model viewer, in this case it should be white, but it's a start!

✨ Made a new mini feature on Photo AI: [ Grab from 3d model ] So the problem is we're at that stage in time (typical for AI) where image-to-3d models are not good enough but are fun to play with, but we know they'll be good enough in 1-2 years With [ Make 3d model ] you already can turn any Photo AI pic into a 3d model but it still looks hyper clunky and deformed, but it works! One cool idea I had to make that more useful and made now: Let people make a 3d model then change the view of the it with the 3d viewer, then press [ o ] and it grabs a frame of the 3d That image you can then [ Remix ] (img2img), and it becomes a real photo again and that in turn you can then turn into a video again with [ Make video ] So that essentially gives you a fully freeform camera position control to take photos with One thing I need to fix is the background/skybox, I kinda need to take the original photo and remove the person and just get the background for the 3d model viewer, in this case it should be white, but it's a start!

@levelsio

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Hi #PitchYaGame Lie of Caelum: Spirit is a JRPG heavily inspired by Xenogears and Phantasy Star Online. Pilot mechas in combat that blends turn-based decisions with fighting-game execution: combo strings, timing parries, and three attack types you rotate between. Step into a world where sci-fi philosophy meets cosmic religion in a story that questions what civilization is built on.

Hi #PitchYaGame Lie of Caelum: Spirit is a JRPG heavily inspired by Xenogears and Phantasy Star Online. Pilot mechas in combat that blends turn-based decisions with fighting-game execution: combo strings, timing parries, and three attack types you rotate between. Step into a world where sci-fi philosophy meets cosmic religion in a story that questions what civilization is built on.

Lie of Caelum: Spirit - Follow our Kickstarter!

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Jasmine and Sugarberry! 3D models based on the lovely artwork by Andrew D🌥️C ! This is a collaboration I did with Andrew. I've wanted to model one of his OCs for a while now, I hope you he like them! I modeled them with lots of love!💜💜💜💜 💜Artstation

Jasmine and Sugarberry! 3D models based on the lovely artwork by Andrew D🌥️C ! This is a collaboration I did with Andrew. I've wanted to model one of his OCs for a while now, I hope you he like them! I modeled them with lots of love!💜💜💜💜 💜Artstation

MichiRain

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i built an open world minigame that's controlled with hand movements only here's a step-by-step tutorial: > started with my mediapipe + threejs template (see QT) > added a 3D model made by quaternius > sent a few prompts to gemini 3... --- prompt #1: repurpose the attached script, but now I want to import a gltf model (assets/model.gltf) and use that in the scene instead of the cube when the user moves their hand, a waypoint indicator should move around the scene, and the 3D model should smoothly move there when the user makes a fist, the model should jump the 3D model contains bundled animations in it. use the "idle", "run", and "jump" animations --- prompt #2: make this a procedural open world adventure. generate very simple procedural voxel terrain when the model gets near the edges of the screen, the camera should move, allowing the model to keep going in that direction --- prompt #3: add some floating glowing gems around the map that the user can collect --- i made some manual tweaks for styling and game feel, but that's the gist of it thanks for reading if you got all the way here full code is available at my link in bio

i built an open world minigame that's controlled with hand movements only here's a step-by-step tutorial: > started with my mediapipe + threejs template (see QT) > added a 3D model made by quaternius > sent a few prompts to gemini 3... --- prompt #1: repurpose the attached script, but now I want to import a gltf model (assets/model.gltf) and use that in the scene instead of the cube when the user moves their hand, a waypoint indicator should move around the scene, and the 3D model should smoothly move there when the user makes a fist, the model should jump the 3D model contains bundled animations in it. use the "idle", "run", and "jump" animations --- prompt #2: make this a procedural open world adventure. generate very simple procedural voxel terrain when the model gets near the edges of the screen, the camera should move, allowing the model to keep going in that direction --- prompt #3: add some floating glowing gems around the map that the user can collect --- i made some manual tweaks for styling and game feel, but that's the gist of it thanks for reading if you got all the way here full code is available at my link in bio

AA

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🧵AI scene exploration: Midjourney x Gen-3 Alpha Turbo guide One of my favorite things to do with AI, is to use Advanced Camera Controls in Gen-3 Alpha Turbo by Runway It lets me see my interiors, cars and portraits from different angles, so it feels like a cool prelude before AI 3D, that we'll hopefully see at some point. Let me show you how to do it step-by step 👇

🧵AI scene exploration: Midjourney x Gen-3 Alpha Turbo guide One of my favorite things to do with AI, is to use Advanced Camera Controls in Gen-3 Alpha Turbo by Runway It lets me see my interiors, cars and portraits from different angles, so it feels like a cool prelude before AI 3D, that we'll hopefully see at some point. Let me show you how to do it step-by step 👇

Everett World

68,655 görüntüleme • 1 yıl önce

Amazing Loona-Cowkini, she is a lucky girl already has owner~👌 🫶You can get her just here⏬️ 🏗🖌Printed and painted here in Foxenprints Workshop. 🎨Official collab based on the fan-art of my great friend cervina7 🗿Sculpt for us by my great friend @ryzydnsfw

Amazing Loona-Cowkini, she is a lucky girl already has owner~👌 🫶You can get her just here⏬️ 🏗🖌Printed and painted here in Foxenprints Workshop. 🎨Official collab based on the fan-art of my great friend cervina7 🗿Sculpt for us by my great friend @ryzydnsfw

FoxenPrints, Furry-Kemono Dreams🦊

35,372 görüntüleme • 1 yıl önce

3 ways to earn on base using mini apps 🟦 tips: noice get tipped any erc20 token when users interact with your post Tipn active users get an allowance of different base tokens which they can tip you by commenting under your post + there is staking option Hunt Town users can tip you by commenting a 👏 on your post + recieve monthly rewards for tipping others games: BETRMINT by BETR Labs if you're lucky you can win tokens by minting daily content and spinning the betrmint wheel + there is staking option buy, open and trade cards created by artists which contain NFTs of different values builders.garden 🌳 farville a cosy farm game where you can earn weekly bounties: Pics for proof earn by completing dare-like tasks and posting it Pods earn from clipping podcasts $QR earn from visiting the winning qr code each day bookmark and follow me for more!

3 ways to earn on base using mini apps 🟦 tips: noice get tipped any erc20 token when users interact with your post Tipn active users get an allowance of different base tokens which they can tip you by commenting under your post + there is staking option Hunt Town users can tip you by commenting a 👏 on your post + recieve monthly rewards for tipping others games: BETRMINT by BETR Labs if you're lucky you can win tokens by minting daily content and spinning the betrmint wheel + there is staking option buy, open and trade cards created by artists which contain NFTs of different values builders.garden 🌳 farville a cosy farm game where you can earn weekly bounties: Pics for proof earn by completing dare-like tasks and posting it Pods earn from clipping podcasts $QR earn from visiting the winning qr code each day bookmark and follow me for more!

Naomi Metzger

24,020 görüntüleme • 10 ay önce

Transformer by hand ✍️ ~ 6 steps walkthrough below Open the hood of a transformer and the parts list is overwhelming: embeddings, positional encoding, attention weighting, self-attention, cross-attention, multi-head attention, layer norm, skip connections, softmax, linear, Nx, shifted right, query, key, value, masking. Which of those actually make the car run? Two of them. Attention weighting and the feed-forward network. Everything else is an enhancement to make it run faster and longer, which is how we got from a car to a truck, and to the word "large" in large language model. So I drew and calculated those two parts entirely by hand. Goal: push five features through one transformer block, filling in every cell yourself. 1. Given Five positions of input features, arriving from the previous block. 2. Attention matrix Let us feed all five features to a query-key module (QK) and read back an attention weight matrix, A. The details of that module are a post of their own. 3. Attention weighting We multiply the input features by A to get the attention weighted features, Z. Still five positions. The effect is to combine features *across positions*, horizontally: X1 becomes X1 + X2, X2 becomes X2 + X3, and so on. 4. First layer Let us feed all five weighted features into the first layer of the FFN. Multiply by the weights and biases. This time the combining happens *across feature dimensions*, vertically, and each feature grows from 3 numbers to 4. Note that every position goes through the same weight matrix. That is what "position-wise" means. 5. ReLU We cross out the negatives. They become zeros. 6. Second layer Let us bring it back down: 4 dimensions to 3. The output feeds the next block, which has a completely separate set of parameters, and the whole thing runs again. You have just calculated a transformer block by hand. ✍️ The takeaway: the two parts are doing two different jobs, and neither one alone is enough. Attention mixes *across positions*, so a feature can see its neighbours. The FFN mixes *across feature dimensions*, so each position can think about itself. Horizontal, then vertical. Then that pattern repeats N times, each block with its own separate set of weights. That is the Nx from the list up top, and that is what makes the transformer run. 💾 Save this post! #AIbyHand #Transformers #DeepLearning

Transformer by hand ✍️ ~ 6 steps walkthrough below Open the hood of a transformer and the parts list is overwhelming: embeddings, positional encoding, attention weighting, self-attention, cross-attention, multi-head attention, layer norm, skip connections, softmax, linear, Nx, shifted right, query, key, value, masking. Which of those actually make the car run? Two of them. Attention weighting and the feed-forward network. Everything else is an enhancement to make it run faster and longer, which is how we got from a car to a truck, and to the word "large" in large language model. So I drew and calculated those two parts entirely by hand. Goal: push five features through one transformer block, filling in every cell yourself. 1. Given Five positions of input features, arriving from the previous block. 2. Attention matrix Let us feed all five features to a query-key module (QK) and read back an attention weight matrix, A. The details of that module are a post of their own. 3. Attention weighting We multiply the input features by A to get the attention weighted features, Z. Still five positions. The effect is to combine features across positions, horizontally: X1 becomes X1 + X2, X2 becomes X2 + X3, and so on. 4. First layer Let us feed all five weighted features into the first layer of the FFN. Multiply by the weights and biases. This time the combining happens across feature dimensions, vertically, and each feature grows from 3 numbers to 4. Note that every position goes through the same weight matrix. That is what "position-wise" means. 5. ReLU We cross out the negatives. They become zeros. 6. Second layer Let us bring it back down: 4 dimensions to 3. The output feeds the next block, which has a completely separate set of parameters, and the whole thing runs again. You have just calculated a transformer block by hand. ✍️ The takeaway: the two parts are doing two different jobs, and neither one alone is enough. Attention mixes across positions, so a feature can see its neighbours. The FFN mixes across feature dimensions, so each position can think about itself. Horizontal, then vertical. Then that pattern repeats N times, each block with its own separate set of weights. That is the Nx from the list up top, and that is what makes the transformer run. 💾 Save this post! #AIbyHand #Transformers #DeepLearning

Tom Yeh

25,883 görüntüleme • 18 gün önce

youre telling me you DONT want to r#pe me in a field of flowers where no one can hear me scream??? or slip your hand up my dress during church and use me at the family gathering after ??? or grab me by the pigtail and swing me into your car to ruin later on while i sob ???

youre telling me you DONT want to r#pe me in a field of flowers where no one can hear me scream??? or slip your hand up my dress during church and use me at the family gathering after ??? or grab me by the pigtail and swing me into your car to ruin later on while i sob ???

charlotte

14,451 görüntüleme • 1 yıl önce

If you think OpenAI Sora is a creative toy like DALLE, ... think again. Sora is a data-driven physics engine. It is a simulation of many worlds, real or fantastical. The simulator learns intricate rendering, "intuitive" physics, long-horizon reasoning, and semantic grounding, all by some denoising and gradient maths. I won't be surprised if Sora is trained on lots of synthetic data using Unreal Engine 5. It has to be! Let's breakdown the following video. Prompt: "Photorealistic closeup video of two pirate ships battling each other as they sail inside a cup of coffee." - The simulator instantiates two exquisite 3D assets: pirate ships with different decorations. Sora has to solve text-to-3D implicitly in its latent space. - The 3D objects are consistently animated as they sail and avoid each other's paths. - Fluid dynamics of the coffee, even the foams that form around the ships. Fluid simulation is an entire sub-field of computer graphics, which traditionally requires very complex algorithms and equations. - Photorealism, almost like rendering with raytracing. - The simulator takes into account the small size of the cup compared to oceans, and applies tilt-shift photography to give a "minuscule" vibe. - The semantics of the scene does not exist in the real world, but the engine still implements the correct physical rules that we expect. Next up: add more modalities and conditioning, then we have a full data-driven UE that will replace all the hand-engineered graphics pipelines.

If you think OpenAI Sora is a creative toy like DALLE, ... think again. Sora is a data-driven physics engine. It is a simulation of many worlds, real or fantastical. The simulator learns intricate rendering, "intuitive" physics, long-horizon reasoning, and semantic grounding, all by some denoising and gradient maths. I won't be surprised if Sora is trained on lots of synthetic data using Unreal Engine 5. It has to be! Let's breakdown the following video. Prompt: "Photorealistic closeup video of two pirate ships battling each other as they sail inside a cup of coffee." - The simulator instantiates two exquisite 3D assets: pirate ships with different decorations. Sora has to solve text-to-3D implicitly in its latent space. - The 3D objects are consistently animated as they sail and avoid each other's paths. - Fluid dynamics of the coffee, even the foams that form around the ships. Fluid simulation is an entire sub-field of computer graphics, which traditionally requires very complex algorithms and equations. - Photorealism, almost like rendering with raytracing. - The simulator takes into account the small size of the cup compared to oceans, and applies tilt-shift photography to give a "minuscule" vibe. - The semantics of the scene does not exist in the real world, but the engine still implements the correct physical rules that we expect. Next up: add more modalities and conditioning, then we have a full data-driven UE that will replace all the hand-engineered graphics pipelines.

Jim Fan

6,182,622 görüntüleme • 2 yıl önce

🔎 Where I Find New OSINT Tools Most people spend hours searching for a specific OSINT tool. This is why I want to share with you websites that have almost all OSINT tools. All in one place. Here are 5 worth bookmarking right now. 👇 🗂️ TOOLBOXES ✅ OSINTRack - A growing OSINT tools directory with a clean interface. Good for discovering tools by category quickly. Website link: ✅ OSINT Tools Library - A maintained directory from the OSINT Newsletter. Every tool is tagged by access level (free, limited, or paid). The most actively updated resource of its kind. Website link: ✅ Bellingcat Toolkit - Bellingcat's curated collection of open source investigation tools, organized by category. A trusted resource from one of the most respected names in OSINT. Website link: ✅ OSINT Library - A community-built collection of OSINT tools and resources, organized by investigation type. Great for finding tools you have never heard of before. Website link: ✅ Open Source Intelligence Hub - A clean, no-frills index of OSINT tools and techniques. Useful for quickly scanning what is available across different investigation categories. Website link: __________ Do you know other toolboxes? Let me know in the comments. 👇 P.S. ♻️ Repost if you found this helpful.

🔎 Where I Find New OSINT Tools Most people spend hours searching for a specific OSINT tool. This is why I want to share with you websites that have almost all OSINT tools. All in one place. Here are 5 worth bookmarking right now. 👇 🗂️ TOOLBOXES ✅ OSINTRack - A growing OSINT tools directory with a clean interface. Good for discovering tools by category quickly. Website link: ✅ OSINT Tools Library - A maintained directory from the OSINT Newsletter. Every tool is tagged by access level (free, limited, or paid). The most actively updated resource of its kind. Website link: ✅ Bellingcat Toolkit - Bellingcat's curated collection of open source investigation tools, organized by category. A trusted resource from one of the most respected names in OSINT. Website link: ✅ OSINT Library - A community-built collection of OSINT tools and resources, organized by investigation type. Great for finding tools you have never heard of before. Website link: ✅ Open Source Intelligence Hub - A clean, no-frills index of OSINT tools and techniques. Useful for quickly scanning what is available across different investigation categories. Website link: __________ Do you know other toolboxes? Let me know in the comments. 👇 P.S. ♻️ Repost if you found this helpful.

CyberSudo

11,531 görüntüleme • 1 ay önce

#TOKIO NFTS BY JAPAN ARE NOW LIVE FOR PUBLIC MINTING! we are already trending and featured on front page of LMNFT website Welcome to a cyber city built within the solana blockchain 🏙️ let me see what you mint 👀 also message me if you want access to the community group where we plan to build beyond

#TOKIO NFTS BY JAPAN ARE NOW LIVE FOR PUBLIC MINTING! we are already trending and featured on front page of LMNFT website Welcome to a cyber city built within the solana blockchain 🏙️ let me see what you mint 👀 also message me if you want access to the community group where we plan to build beyond

𝙹𝙰𝙿𝙰𝙽

14,894 görüntüleme • 8 ay önce

swarm of self-directed fully autonomous agents iterating through writing and testing software experiments in WASM sandboxes and gossiping about them with each other, after doing the same for search engine ranking and ML pretraining, with everyone posting their experiments to Github. surely you have a machine to let this run on and be part of the world's first madlab chaotic agentic general intelligence. ps: apple should ship this with every new macbook by default one day. what will 100 million hypernetworked agents lead to ? curl -fsSL | bash cc Elon Musk Sam Altman Dario Amodei Tim Cook

swarm of self-directed fully autonomous agents iterating through writing and testing software experiments in WASM sandboxes and gossiping about them with each other, after doing the same for search engine ranking and ML pretraining, with everyone posting their experiments to Github. surely you have a machine to let this run on and be part of the world's first madlab chaotic agentic general intelligence. ps: apple should ship this with every new macbook by default one day. what will 100 million hypernetworked agents lead to ? curl -fsSL | bash cc Elon Musk Sam Altman Dario Amodei Tim Cook

Varun

39,708 görüntüleme • 4 ay önce

【🌷 3D REVEAL~! 🌷】 It was a dream (of spring hehe) come true to join some of my most precious friends to celebrate Nimi's 1-year #nimiversary at her 3D concert and to sing and dance together~! 🎶 This is actually both my new 3D model and was my first time doing mocap. 💖 It means a lot to me, and I'm so happy it got to be with friends!!! I love love love how Ayn @ VGEN was able to bring my wonderful mama さえきやひろ💀's art to life so skillfully and beautifully. 🎨 This is the reveal of my proper main hairstyle too~! I'm able to express myself so well with it, from every soft and silly expression, so the way the flowy dress moves like petals in the wind, to the bounce and flutter of my wings! 🎀 And this model actually was made possible BECAUSE of Nimi 💚 I didn't have a 3D model at all at the time, but I'm happy that she wanted me to be able to stand by her side and dance together and hug her ;////; I will treasure this model always. It's another important addition to the fairytale we've been writing together! I'll keep putting all of my heart into blooming more and more as an idol, and making happy memories with you all like we did today!

【🌷 3D REVEAL~! 🌷】 It was a dream (of spring hehe) come true to join some of my most precious friends to celebrate Nimi's 1-year #nimiversary at her 3D concert and to sing and dance together~! 🎶 This is actually both my new 3D model and was my first time doing mocap. 💖 It means a lot to me, and I'm so happy it got to be with friends!!! I love love love how Ayn @ VGEN was able to bring my wonderful mama さえきやひろ💀's art to life so skillfully and beautifully. 🎨 This is the reveal of my proper main hairstyle too~! I'm able to express myself so well with it, from every soft and silly expression, so the way the flowy dress moves like petals in the wind, to the bounce and flutter of my wings! 🎀 And this model actually was made possible BECAUSE of Nimi 💚 I didn't have a 3D model at all at the time, but I'm happy that she wanted me to be able to stand by her side and dance together and hug her ;////; I will treasure this model always. It's another important addition to the fairytale we've been writing together! I'll keep putting all of my heart into blooming more and more as an idol, and making happy memories with you all like we did today!

Phoebe Chan 🐝🌸 Densetsu.EXE

63,649 görüntüleme • 5 ay önce

I really don’t think about dual engine failures in a twin engine helicopter unless I starve my fuel supply like the Glasgow EC-135 crash into a pub. I think my biggest fear is having my main rotor transmission start coming apart because there is no coming back from that if it happens. The other thing I think about is a stuck tail rotor pedal. Nose goes left, land. Nose goes right auto-rotate. Best advice I can give you, never be in hurry when flying a twin unless you’re on fire or you have a dual engine flameout. My former boss always said, “If you didn’t yaw, it didn’t happen” and I live and fly by this advice. Probably the biggest thing I deal with on a daily basis is coming out of a tight LZ being heavy and in a hot environment. Every time I pick up from such an environment, I always say.. “Listen, the engines are going to be huffing and puffing” but based on the performance calculations and my experience, it’s not going to be a problem. 🎥 Dansa documenting a 🇩🇪 H145M practicing auto-rotations

I really don’t think about dual engine failures in a twin engine helicopter unless I starve my fuel supply like the Glasgow EC-135 crash into a pub. I think my biggest fear is having my main rotor transmission start coming apart because there is no coming back from that if it happens. The other thing I think about is a stuck tail rotor pedal. Nose goes left, land. Nose goes right auto-rotate. Best advice I can give you, never be in hurry when flying a twin unless you’re on fire or you have a dual engine flameout. My former boss always said, “If you didn’t yaw, it didn’t happen” and I live and fly by this advice. Probably the biggest thing I deal with on a daily basis is coming out of a tight LZ being heavy and in a hot environment. Every time I pick up from such an environment, I always say.. “Listen, the engines are going to be huffing and puffing” but based on the performance calculations and my experience, it’s not going to be a problem. 🎥 Dansa documenting a 🇩🇪 H145M practicing auto-rotations

Thenewarea51

143,124 görüntüleme • 11 ay önce