Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

Live now. Full step-by-step tutorial for getting REAL pixel art game sprites with AI No more MIXELS! > GPT Image 2.0 > Pixel Snapper by SpriteFusion > Codex w/ GPT 5.5 High > Phaser 4 Also how I solve other annoying bugs with AI generated sprites. Prompts + more...

chongdashu's profile picture

Chong-U

14,024 subscribers

34,568 Aufrufe • vor 4 Monaten •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

Prefer a video vs reading an article? Here's my full step-by-step tutorial for generating game character sprites using AI! > Codex > GPT 5.5 > Images 2.0 > Seedance 2.0 > Phaser 4 Includes solving walk cycles + transparency + consistency + others Prompts + more in reply 👇 00:00 Intro 01:08 Overview 01:33 Choosing your AI tool 02:11 Step 1: Box Art 02:51 Step 2: South-Facing Anchor 05:02 "Real Pixels" 07:00 Step 3: Keep Anchors Neutral 08:01 Step 4: NEWS Directions 09:52 Step 5: Animating with GPT Images 2.0 14:38 Step 6: Image to Video for Walkcycles 19:08 Step 7: Normalisation 20:54 Skill 1: animated-spritesheets skill 21:40 Skill 2: gamedev-assets skill 21:58 Step 8: Integrating Assets 22:42 Wrap-Up
23:25

Prefer a video vs reading an article? Here's my full step-by-step tutorial for generating game character sprites using AI! > Codex > GPT 5.5 > Images 2.0 > Seedance 2.0 > Phaser 4 Includes solving walk cycles + transparency + consistency + others Prompts + more in reply 👇 00:00 Intro 01:08 Overview 01:33 Choosing your AI tool 02:11 Step 1: Box Art 02:51 Step 2: South-Facing Anchor 05:02 "Real Pixels" 07:00 Step 3: Keep Anchors Neutral 08:01 Step 4: NEWS Directions 09:52 Step 5: Animating with GPT Images 2.0 14:38 Step 6: Image to Video for Walkcycles 19:08 Step 7: Normalisation 20:54 Skill 1: animated-spritesheets skill 21:40 Skill 2: gamedev-assets skill 21:58 Step 8: Integrating Assets 22:42 Wrap-Up

Chong-U

178,933 Aufrufe • vor 4 Monaten

I vibe coded a Street Fighter clone It's called VIBE FIGHTER Everything with AI > Code, Sprites, Animations, UI > Cursor with Opus 4.8 > GPT Image 2.0 > Grok Imagine Here's a FULL tutorial showing > Light/Heavy Hits > Blocking > Specials Resources + source code in reply 👇 00:00 Intro 01:13 This Video's Resources 01:58 What we're building 02:45 Step 1: Context 03:21 Step 2. Generating concept art and mockups 04:05 Step 3: Exracting the backgrounds 05:14 Step 4: Character references 06:18 Step 5: Character Sprites & Animations 09:24 Step 6: Build a Character Gym 12:04 Step 7: Build a Playground 14:06 Step 8: Generating menu portraits 15:00 Step 9: Core combat loop 15:27 Step 10: Generating UI & Health Bars 16:57 Step 11: Special Moves and Polish 18:14 Wrap Up
19:22

I vibe coded a Street Fighter clone It's called VIBE FIGHTER Everything with AI > Code, Sprites, Animations, UI > Cursor with Opus 4.8 > GPT Image 2.0 > Grok Imagine Here's a FULL tutorial showing > Light/Heavy Hits > Blocking > Specials Resources + source code in reply 👇 00:00 Intro 01:13 This Video's Resources 01:58 What we're building 02:45 Step 1: Context 03:21 Step 2. Generating concept art and mockups 04:05 Step 3: Exracting the backgrounds 05:14 Step 4: Character references 06:18 Step 5: Character Sprites & Animations 09:24 Step 6: Build a Character Gym 12:04 Step 7: Build a Playground 14:06 Step 8: Generating menu portraits 15:00 Step 9: Core combat loop 15:27 Step 10: Generating UI & Health Bars 16:57 Step 11: Special Moves and Polish 18:14 Wrap Up

Chong-U

24,624 Aufrufe • vor 3 Monaten

Here's a step-by-step video tutorial of how I vibe coded my point & click adventure game! → 1. Nano Banana Pro → 2. Meshy → 3. Codex 5.3 → 4. Capacitor This part 1 covers: → Generate 3D models → ThreeJS integration → Building for iOS Agent skills + prompts in reply! --- 00:00 Intro 01:40 What We'll Be Building 02:08 Step 1: Nano Banana Pro for Character Art 04:36 Step 2: Meshy for Image to 3D 09:51 Step 3: GLB Export 12:14 Step 4: ThreeJS Skill for GLB Index 15:56 Step 5: ThreeJS Skill for Scene 18:07 Step 6: CapacitorJS Skill for Mobile 19:41 Step 7: Build for iOS 21:06 Wrap Up
22:05

Here's a step-by-step video tutorial of how I vibe coded my point & click adventure game! → 1. Nano Banana Pro → 2. Meshy → 3. Codex 5.3 → 4. Capacitor This part 1 covers: → Generate 3D models → ThreeJS integration → Building for iOS Agent skills + prompts in reply! --- 00:00 Intro 01:40 What We'll Be Building 02:08 Step 1: Nano Banana Pro for Character Art 04:36 Step 2: Meshy for Image to 3D 09:51 Step 3: GLB Export 12:14 Step 4: ThreeJS Skill for GLB Index 15:56 Step 5: ThreeJS Skill for Scene 18:07 Step 6: CapacitorJS Skill for Mobile 19:41 Step 7: Build for iOS 21:06 Wrap Up

Chong-U

105,101 Aufrufe • vor 7 Monaten

Here's how I use BOTH Codex + Claude Code to vibe code games For my Final Fantasy Tactics game: → 1. GPT 5.4/5.3-Codex/5.2 → 2. Opus 4.6 → 3. Nano Banana 2 → 4. Playwright → Plans + AskUserQuestion → Queue + interrupt prompts → Auto test + bug fixing FULL workflow👇 00:00 Intro 02:07 Step 1: Game Overview 03:27 Step 2: Nano Banana 2 for Portraits 05:12 Step 3: GPT 5.2 / 5.4 for Planning 09:56 Step 4: AskUserQuestion in Codex 12:02 Step 5: Saving your plans and prompts 13:43 Step 6: GPT 5.3-Codex for Implementing 16:34 Step 7: Implementing Cutscenes 20:49 Step 8: LazyGit + Yazi - Staying in the terminal 22:46 Step 9: Reviewing the changes 23:49 Step 10: Steering Codex - Queued Prompts 25:36 Steo 11: Steering Codex - Interrupt Prompts 26:45 Steo 12: Claude Code and Opus 4.6 27:16 Step 13: xHigh Reasoning for Tricky Bugs 28:50 Step 14: Playwright for automated testing + fixes 30:56 Step 15: Claude Code Plan Mode Previews 32:56 Step 16: Steering Claude Code - Add Notes to Plans 35:05 Wrap-Up
35:19

Here's how I use BOTH Codex + Claude Code to vibe code games For my Final Fantasy Tactics game: → 1. GPT 5.4/5.3-Codex/5.2 → 2. Opus 4.6 → 3. Nano Banana 2 → 4. Playwright → Plans + AskUserQuestion → Queue + interrupt prompts → Auto test + bug fixing FULL workflow👇 00:00 Intro 02:07 Step 1: Game Overview 03:27 Step 2: Nano Banana 2 for Portraits 05:12 Step 3: GPT 5.2 / 5.4 for Planning 09:56 Step 4: AskUserQuestion in Codex 12:02 Step 5: Saving your plans and prompts 13:43 Step 6: GPT 5.3-Codex for Implementing 16:34 Step 7: Implementing Cutscenes 20:49 Step 8: LazyGit + Yazi - Staying in the terminal 22:46 Step 9: Reviewing the changes 23:49 Step 10: Steering Codex - Queued Prompts 25:36 Steo 11: Steering Codex - Interrupt Prompts 26:45 Steo 12: Claude Code and Opus 4.6 27:16 Step 13: xHigh Reasoning for Tricky Bugs 28:50 Step 14: Playwright for automated testing + fixes 30:56 Step 15: Claude Code Plan Mode Previews 32:56 Step 16: Steering Claude Code - Add Notes to Plans 35:05 Wrap-Up

Chong-U

47,264 Aufrufe • vor 6 Monaten

Day 4 of Vibe Jam Here's a video of my FULL workflow from SCRATCH → From idea to working game → 2 x characters → 2 x levels → Combo system → Custom level editor → Polish & juice Phaser 4 + Codex + Claude Code Using skills from my vibe jam starter pack (link in reply)👇 If you are figuring out how to get started - this is the video for you! --- 00:00 Intro 01:31 Get the Vibe Jam Starter Pack 02:46 Step 1: Game Idea 04:39 Step 2: Game Assets 07:38 Step 3: Game Engine 08:39 Step 4: AI Tool 09:17 Step 5: Assets Index 11:31 Step 6: Basic Movement & Controls 13:37 Step 7: Game Loop / Mechanics 15:22 Step 8: Iterate and Extend on Foundations 17:28 Step 9: Polish & Juice 19:23 Step 10: Tooling & Level Editor 22:22 Wrap Up
23:04

Day 4 of Vibe Jam Here's a video of my FULL workflow from SCRATCH → From idea to working game → 2 x characters → 2 x levels → Combo system → Custom level editor → Polish & juice Phaser 4 + Codex + Claude Code Using skills from my vibe jam starter pack (link in reply)👇 If you are figuring out how to get started - this is the video for you! --- 00:00 Intro 01:31 Get the Vibe Jam Starter Pack 02:46 Step 1: Game Idea 04:39 Step 2: Game Assets 07:38 Step 3: Game Engine 08:39 Step 4: AI Tool 09:17 Step 5: Assets Index 11:31 Step 6: Basic Movement & Controls 13:37 Step 7: Game Loop / Mechanics 15:22 Step 8: Iterate and Extend on Foundations 17:28 Step 9: Polish & Juice 19:23 Step 10: Tooling & Level Editor 22:22 Wrap Up

Chong-U

23,141 Aufrufe • vor 5 Monaten

Looking for a BEGINNER-friendly gamedev vibe coding tutorial? I got you. Let's building this 2D pirate beat 'em up game from SCRATCH. → Codex App → GPT 5.5 → Images 2.0 → Phaser 4 → ElevenLabs Step-by-step... prompt-by-prompt... Starter project + resources in reply 👇 00:00 1. Intro 01:16 2. Project Structure 01:34 3. `public` folder 02:29 4. .Agent skills 03:00 5. Codex App 04:15 6. Running the game 05:32 7. Better Testing Setup 06:59 8. Generate Background Art 08:56 9. Use parallel sub-agents 10:22 10. Create an Asset Index 13:27 11. Adding the Pirate Player 15:58 12. Browser Testing in Codex 17:55 13. Add Skeleton Enemy 19:44 14. Collisions & Hitboxes 21:04 15. Adding Debug 22:12 16. Fixing Attack Frames 24:06 17. Fixing Hit Boxes and Bounds 26:10 18. Adding Health System & Bars 27:52 19. Game Over And Death Flow 28:46 20. Wave Progression System 31:38 21. Restarting The Game 33:49 22. Generated Sound & Music with AI 39:14 23. Adding juice and polish 41:54 Wrap Up
42:31

Looking for a BEGINNER-friendly gamedev vibe coding tutorial? I got you. Let's building this 2D pirate beat 'em up game from SCRATCH. → Codex App → GPT 5.5 → Images 2.0 → Phaser 4 → ElevenLabs Step-by-step... prompt-by-prompt... Starter project + resources in reply 👇 00:00 1. Intro 01:16 2. Project Structure 01:34 3. `public` folder 02:29 4. .Agent skills 03:00 5. Codex App 04:15 6. Running the game 05:32 7. Better Testing Setup 06:59 8. Generate Background Art 08:56 9. Use parallel sub-agents 10:22 10. Create an Asset Index 13:27 11. Adding the Pirate Player 15:58 12. Browser Testing in Codex 17:55 13. Add Skeleton Enemy 19:44 14. Collisions & Hitboxes 21:04 15. Adding Debug 22:12 16. Fixing Attack Frames 24:06 17. Fixing Hit Boxes and Bounds 26:10 18. Adding Health System & Bars 27:52 19. Game Over And Death Flow 28:46 20. Wave Progression System 31:38 21. Restarting The Game 33:49 22. Generated Sound & Music with AI 39:14 23. Adding juice and polish 41:54 Wrap Up

Chong-U

14,908 Aufrufe • vor 4 Monaten

Here's a full video walkthrough of generating FF Tactics-style isometric sprites → Codex → GPT 5.4 → GPT Image 1.5 → Nano Banana 2 → Veo 3.1 I also made a fal .ai skill to easily switch models for image generation testing. Sharing skills + prompts + resources in reply 👇 00:00 Intro 01:19 Start With Reference Image 04:06 GPT Image 1.5 vs Nano Banana 2 04:23 Handling Transparency 05:21 Don't Generate All 8 Directions 06:17 Generate 4 Cardinal Directions (N, E, S, W) 07:12 Anchor + Cardinals = Diagonals 08:15 Stitching and Utilities 10:48 Veo 3.1 for Walk Cycles 11:23 Example Walkthrough with Codex App 13:22 Normalize and Export 14:06 Wrap Up
14:32

Here's a full video walkthrough of generating FF Tactics-style isometric sprites → Codex → GPT 5.4 → GPT Image 1.5 → Nano Banana 2 → Veo 3.1 I also made a fal .ai skill to easily switch models for image generation testing. Sharing skills + prompts + resources in reply 👇 00:00 Intro 01:19 Start With Reference Image 04:06 GPT Image 1.5 vs Nano Banana 2 04:23 Handling Transparency 05:21 Don't Generate All 8 Directions 06:17 Generate 4 Cardinal Directions (N, E, S, W) 07:12 Anchor + Cardinals = Diagonals 08:15 Stitching and Utilities 10:48 Veo 3.1 for Walk Cycles 11:23 Example Walkthrough with Codex App 13:22 Normalize and Export 14:06 Wrap Up

Chong-U

194,944 Aufrufe • vor 6 Monaten

I'M HYPED TO ANNOUNCE: REAL AI UGC. THE EASIEST PLACE TO MAKE REALISTIC AI UGC ADS IN MINUTES. After getting hit with enormous paywalls by Gurus to make these, I decided to make my own site with everything I learned in one place for YOU GUYS to make your own ads Here's a FULL GUIDE on how to make REALISTIC AI UGC Ads with Seedance 2.0 + GPT 2.0 in minutes 00:00 Can You Spot AI 01:08 What You Will Learn 02:13 Wild AI Examples 02:45 Step 1: GPT 2 Image 06:30 Animate With Seedance 2.0 07:23 Add A Product 09:52 Claude Timeline Prompting 13:48 Step 2: Generate First Clip 16:50 Step 3: Chain Video Generation 20:44 Stitch Together In CapCut 21:54 Costs + Wrap Up
23:34

I'M HYPED TO ANNOUNCE: REAL AI UGC. THE EASIEST PLACE TO MAKE REALISTIC AI UGC ADS IN MINUTES. After getting hit with enormous paywalls by Gurus to make these, I decided to make my own site with everything I learned in one place for YOU GUYS to make your own ads Here's a FULL GUIDE on how to make REALISTIC AI UGC Ads with Seedance 2.0 + GPT 2.0 in minutes 00:00 Can You Spot AI 01:08 What You Will Learn 02:13 Wild AI Examples 02:45 Step 1: GPT 2 Image 06:30 Animate With Seedance 2.0 07:23 Add A Product 09:52 Claude Timeline Prompting 13:48 Step 2: Generate First Clip 16:50 Step 3: Chain Video Generation 20:44 Stitch Together In CapCut 21:54 Costs + Wrap Up

ashen

196,539 Aufrufe • vor 4 Monaten

If I started a SaaS in 2026, I’d do this: (from 0 to 1,000+ users) 00:00 Who I am 00:41 The 3 types of marketing 02:29 Why scary marketing comes last 04:42 Viral marketing: where to post 05:20 Finding your ideal customer 06:28 Creator recommendations by platform 08:36 Why you need both viral and boring marketing 10:39 The plan: validate first 12:42 Build the base for boring marketing 13:15 Step 1: GEO (get mentioned by AI) 15:46 Step 2: SEO (the compounding game) 17:45 How Distribb automates the boring work 19:36 Step 3: YouTube (your long-term moat) 21:46 The 7-step recap to scale your SaaS
25:43

If I started a SaaS in 2026, I’d do this: (from 0 to 1,000+ users) 00:00 Who I am 00:41 The 3 types of marketing 02:29 Why scary marketing comes last 04:42 Viral marketing: where to post 05:20 Finding your ideal customer 06:28 Creator recommendations by platform 08:36 Why you need both viral and boring marketing 10:39 The plan: validate first 12:42 Build the base for boring marketing 13:15 Step 1: GEO (get mentioned by AI) 15:46 Step 2: SEO (the compounding game) 17:45 How Distribb automates the boring work 19:36 Step 3: YouTube (your long-term moat) 21:46 The 7-step recap to scale your SaaS

Florian Darroman

19,821 Aufrufe • vor 5 Monaten

How to start your Hermes AI Agent (step-by-step guide for beginners) I'm a beginner, and I spent the last 24h: > Understanding the process > Launching my Hermes Agent (Nous Research) > Recording the whole process > Editing this step-by-step guide So you can do it yourself and understand everything in less than 1 hour! 00:00 Intro 00:38 What is Hermes ? Key concepts every beginner should know 01:16 What is a VPS ? 02:00 What is SSH ? 03:52 What is the Terminal ? 04:03 What is an LLM provider ? 04:37 What is an API key ? 04:52 What is the Terminal Backend 05:34 What is the Messaging Gateway ? 06:10 What is the Memory System ? Step-by-step: Launch your Hermes AI agent 06:53 Step 1 : Get your VPS 08:04 How to generate an SSH key 09:00 Step 2 : Connect to your VPS 10:32 Step 3 : Install Hermes Agent 14:34 Connect your agent to Telegram 17:12 How to fix a mistake during the process 17:48 Gateway testing 18:17 Telegram is working 18:31 Run your agent 24/7 19:16 Thank you Make sure to save this for later and share it with friends who want to start with AI agents. Thanks to Teknium 🪽 for being so active!
20:04

How to start your Hermes AI Agent (step-by-step guide for beginners) I'm a beginner, and I spent the last 24h: > Understanding the process > Launching my Hermes Agent (Nous Research) > Recording the whole process > Editing this step-by-step guide So you can do it yourself and understand everything in less than 1 hour! 00:00 Intro 00:38 What is Hermes ? Key concepts every beginner should know 01:16 What is a VPS ? 02:00 What is SSH ? 03:52 What is the Terminal ? 04:03 What is an LLM provider ? 04:37 What is an API key ? 04:52 What is the Terminal Backend 05:34 What is the Messaging Gateway ? 06:10 What is the Memory System ? Step-by-step: Launch your Hermes AI agent 06:53 Step 1 : Get your VPS 08:04 How to generate an SSH key 09:00 Step 2 : Connect to your VPS 10:32 Step 3 : Install Hermes Agent 14:34 Connect your agent to Telegram 17:12 How to fix a mistake during the process 17:48 Gateway testing 18:17 Telegram is working 18:31 Run your agent 24/7 19:16 Thank you Make sure to save this for later and share it with friends who want to start with AI agents. Thanks to Teknium 🪽 for being so active!

Theo

34,057 Aufrufe • vor 6 Monaten

how to build, launch and grow your startup: complete basics that every founder learns by accident 00:00 Intro to building 00:14 The build-measure-learn loop 04:12 What makes a good one-liner 05:40 Rewriting bad one-liners 08:43 Billboards: the Monaco trick 10:12 Set a specific 5-week goal 13:43 Goals that never end will break you 15:42 Intro to Content 18:15 Why luck is the real product 25:03 Fix your bio right now 28:24 Cheat sheet for viral launches 30:49 Step 1: Find 10 strangers (not founders) 33:07 Step 2: The "oh, that makes sense" moment 34:26 Step 3: A visually clear use case 42:29 The $100 launch video that hit 4M 46:04 Context in the first 2 seconds 48:15 Writing with an eraser 51:11 Framework 1: Comparison 54:29 Framework 2: Antagonist 56:01 Framework 3: The Gap 59:37 Be the world's leading expert 01:06:42 Steal your customer's FYP 01:11:47 The 25-video spreadsheet 01:19:36 Intro to Growth 01:21:32 The only metric that matters 01:23:20 Why 1M LP hits is bad growth 01:26:53 The #1 rule on user calls 01:27:15 The AI realtor story 01:34:19 Why Reddit beats Twitter 01:40:15 The landing page that turns pink
1:43:51

how to build, launch and grow your startup: complete basics that every founder learns by accident 00:00 Intro to building 00:14 The build-measure-learn loop 04:12 What makes a good one-liner 05:40 Rewriting bad one-liners 08:43 Billboards: the Monaco trick 10:12 Set a specific 5-week goal 13:43 Goals that never end will break you 15:42 Intro to Content 18:15 Why luck is the real product 25:03 Fix your bio right now 28:24 Cheat sheet for viral launches 30:49 Step 1: Find 10 strangers (not founders) 33:07 Step 2: The "oh, that makes sense" moment 34:26 Step 3: A visually clear use case 42:29 The $100 launch video that hit 4M 46:04 Context in the first 2 seconds 48:15 Writing with an eraser 51:11 Framework 1: Comparison 54:29 Framework 2: Antagonist 56:01 Framework 3: The Gap 59:37 Be the world's leading expert 01:06:42 Steal your customer's FYP 01:11:47 The 25-video spreadsheet 01:19:36 Intro to Growth 01:21:32 The only metric that matters 01:23:20 Why 1M LP hits is bad growth 01:26:53 The #1 rule on user calls 01:27:15 The AI realtor story 01:34:19 Why Reddit beats Twitter 01:40:15 The landing page that turns pink

Founders Inc

21,257 Aufrufe • vor 5 Monaten

No one: *insert lack of people here*: Me: Here's over four hours of CART 1996-02 onboard footage with timestamps if you want to find a driver that you like #INDYCAR Timestamps (Driver, Year, Track) 0:00 JPM '99 Long Beach 1:00 Andretti '97 Portland 1:43 Takagi '02 Motegi 2:08 JPM '00 Denver 2:57 Fernandez '99 Fontana 3:57 Gordon '96 Toronto 4:53 Andretti '98 Rio de Janeiro 6:41 Brack '02 Toronto 7:37 de Ferran '97 Fontana 8:59 da Matta '02 Monterrey 12:13 Gugelmin '01 Texas 12:40 Papis '00 Toronto 13:40 Bruno '01 Nazareth 14:10 de Ferran '96 Cleveland 15:06 Vasser '00 Michigan 15:37 Fernandez '98 Toronto 16:47 Dixon '01 Rockingham 17:29 Johansson '96 Vancouver 18:05 Tracy '02 Chicago 19:11 Rahal '96 Long Beach 19:59 Servia '02 Rockingham 20:43 Vasser '96 Toronto 22:16 Andretti '97 Fontana 23:08 Bruno '02 Denver 25:43 Pruett '98 Michigan 26:16 JPM '00 Road America 26:54 de Ferran '97 Gateway 27:26 Brack '02 Laguna Seca 29:33 Andretti '96 Milwaukee 31:33 Zanardi '98 Toronto 33:01 Papis '02 Fontana 33:53 Bruno '01 Toronto 35:15 Fittipaldi '96 Portland 36:12 Servia '02 Rockingham 36:40 Zanardi '98 Toronto 37:49 Andretti '96 Rio de Janeiro 38:34 Tracy '02 Vancouver 40:32 JPM '99 Homestead 41:11 Papis '01 Long Beach 41:39 Franchitti '02 Rockingham 42:11 Zanardi '98 Toronto 44:30 Gugelmin '01 Monterrey 45:10 Hearn '99 Milwaukee 46:15 Andretti '02 Monterrey 48:56 Brack '01 Chicago 49:26 da Matta '02 Road America 51:21 Pruett '98 Gateway 51:53 Tags '02 Toronto 52:34 Vasser '98 Motegi 53:06 Papis '02 Mid-Ohio 53:41 Hearn '98 Nazareth 54:18 da Matta '02 Monterrey 55:24 Vasser '00 Nazareth 56:25 Franchitti '02 Mexico City 57:40 Zanardi '98 Michigan 58:06 Franchitti '02 Portland 1:00:46 Vasser '00 Rio de Janeiro 1:01:34 Fittipaldi '98 Vancouver 1:02:42 Vasser '99 Nazareth 1:03:42 de Ferran '98 Denver 1:04:36 Fittipaldi '96 Mid-Ohio 1:05:29 Dixon '01 Vancouver 1:06:26 Rahal '98 Laguna Seca 1:08:10 Brack '02 Vancouver 1:09:16 Pruett '97 Rio de Janeiro 1:09:55 Rahal '98 Surfers Paradise 1:11:13 Minassian '01 Texas 1:12:48 Franchitti '02 Monterrey 1:14:27 Kanaan '99 Surfers Paradise 1:15:09 Vasser '96 Homestead 1:16:01 Franchitti '02 Mid-Ohio 1:17:16 Papis '00 Cleveland 1:18:18 Bruno '02 Road America 1:20:32 Andretti '99 Homestead 1:20:54 Bruno '01 Vancouver 1:22:07 Andretti '99 Motegi 1:23:11 JPM '00 Vancouver 1:23:41 Tracy '02 Laguna Seca 1:25:22 Minassian '01 Denver 1:26:23 Andretti '99 Gateway 1:26:49 Bruno '02 Denver 1:28:46 Andretti '99 Road America 1:30:04 Dixon '01 Surfers Paradise 1:30:37 Franchitti '02 Portland 1:32:48 Vasser '96 Vancouver 1:33:24 Andretti '98 Nazareth 1:34:00 Tracy '02 Toronto 1:34:56 JPM '99 Portland 1:36:45 Rahal '97 Homestead 1:37:24 Carpentier '02 Road America 1:39:02 da Matta '00 Nazareth 1:40:14 Zanardi '98 Toronto 1:40:59 Johansson '96 Portland 1:41:54 Brack '02 Long Beach 1:42:33 Boesel '97 Laguna Seca 1:43:28 Andretti '99 Homestead 1:44:26 Rahal '98 Denver 1:45:57 Johnstone '96 Portland 1:46:55 JPM '00 Chicago 1:47:35 da Matta '02 Laguna Seca 1:49:36 Brack '01 Chicago 1:50:44 Carpentier '02 Montreal 1:52:25 Gidley '01 Rockingham 1:53:01 Vasser '02 Mid-Ohio 1:54:23 Dixon '01 Houston 1:55:12 JPM '99 Milwaukee 1:56:15 Gugelmin '01 Mid-Ohio 1:57:13 Tracy '02 Miami 1:59:02 Pruett '98 Fontana 1:59:37 Andretti '99 Portland 2:00:32 Papis '00 Michigan 2:01:23 Andretti '96 Laguna Seca 2:03:21 Fernandez '99 Surfers Paradise 2:04:23 Brack '02 Fontana 2:05:24 Papis '00 Cleveland 2:06:08 da Matta '02 Laguna Seca 2:10:12 Ribiero '97 Michigan 2:10:59 Brack '02 Vancouver 2:12:26 Fernandez '99 Laguna Seca 2:13:49 Rahal '97 Fontana 2:14:27 Gidley '01 Road America 2:15:14 Fernandez '02 Milwaukee 2:16:26 Zanardi '98 Vancouver 2:17:54 Fittipaldi '97 Laguna Seca 2:18:58 Bell '02 Motegi 2:19:39 JPM '00 Laguna Seca 2:20:32 Pruett '98 Gateway 2:21:07 Franchitti '02 Toronto 2:23:08 JPM '99 Portland 2:24:08 Dixon '01 Lausitz 2:24:44 Vasser '02 Denver 2:25:55 Fernandez '01 Motegi 2:27:19 Tracy '02 Mexico City 2:28:20 Fittipaldi '99 Gateway 2:29:38 Carpentier '02 Mid-Ohio 2:30:13 Andretti '97 Surfers Paradise 2:31:40 Vasser '96 Nazareth 2:32:05 de Ferran '97 Long Beach 2:33:13 Vasser '99 Homestead 2:33:39 Kanaan '02 Cleveland 2:34:30 Fernandez '01 Chicago 2:35:58 Brack '02 Laguna Seca 2:37:21 Fernandez '01 Texas 2:37:49 JPM '99 Denver 2:38:44 de Ferran '97 Rio de Janeiro 2:39:28 Hearn '98 Road America 2:44:50 Brack '02 Vancouver 2:44:02 Andretti '98 Homestead 2:45:00 Tracy '02 Laguna Seca 2:46:16 Gidley '01 Chicago 2:47:12 Fittipaldi '96 Cleveland 2:48:18 JPM '00 Portland 2:49:57 Rahal '98 Motegi 2:50:28 Blundell '00 Long Beach 2:51:39 Franchitti '02 Rockingham 2:52:03 Andretti '99 Mid-Ohio 2:53:25 Tracy '02 Vancouver 2:54:33 Gugelmin '01 Portland 2:55:41 JPM '00 Denver 2:56:44 Franchitti '02 Motegi 2:57:25 Zanardi '98 Toronto 2:59:41 Franchitti '02 Rockingham 3:00:17 JPM '00 Laguna Seca 3:01:35 Tracy '02 Toronto 3:04:18 Brack '01 Michigan 3:04:51 da Matta '02 Monterrey 3:06:04 Jones '99 Rio de Janeiro 3:06:57 JPM '00 Houston 3:07:33 Fernandez '02 Monterrey 3:09:02 Bruno '01 Nazareth 3:10:20 Rahal '96 Toronto 3:11:23 da Matta '02 Road America 3:13:42 Pruett '96 Nazareth 3:14:40 JPM '00 Road America 3:15:23 Fittipaldi '99 Cleveland 3:16:31 Hearn '98 Rio de Janeiro 3:17:58 Andretti '02 Road America 3:18:54 Vasser '96 Milwaukee 3:19:37 Franchitti '02 Portland 3:20:34 Andretti '97 Toronto 3:21:26 Vasser '99 Milwaukee 3:22:06 Papis '00 Vancouver 3:22:48 Bruno '01 Laguna Seca 3:24:10 Rahal '97 Rio de Janeiro 3:25:22 Brack '02 Denver 3:26:15 Gordon '99 Chicago 3:27:03 Fittipaldi '96 Portland 3:27:41 Nakano '01 Motegi 3:28:34 Vasser '02 Denver 3:29:46 Andretti '99 Milwaukee 3:30:27 Pruett '98 Mid-Ohio 3:31:23 Papis '00 Milwaukee 3:31:55 Andretti '99 Denver 3:33:01 Bruno '01 Nazareth 3:33:34 Carpentier '02 Montreal 3:35:11 Andretti '99 Nazareth 3:36:01 JPM '00 Mid-Ohio 3:37:05 Rahal '98 Rio de Janeiro 3:37:48 Kanaan '02 Cleveland 3:39:01 Vasser '00 Motegi 3:40:10 Fittipaldi '02 Montreal 3:41:20 da Matta '00 Michigan 3:41:55 Zanardi '98 Toronto 3:42:57 Papis '00 Milwaukee 3:43:53 Bruno '02 Portland 3:44:48 da Matta '01 Fontana 3:45:42 Zanardi '98 Portland 3:46:42 Andretti '99 Nazareth 3:47:44 Carpentier '02 Mid-Ohio 3:48:55 Andretti '99 Fontana 3:49:42 Vasser '01 Houston 3:50:34 Rahal '98 Fontana 3:51:57 JPM '00 Portland 3:53:15 Andretti '99 Cleveland 3:54:30 Vasser '97 Homestead 3:55:30 Andretti '99 Cleveland 3:56:32 Servia '02 Rockingham 3:56:59 Fernandez '01 Surfers Paradise 3:58:27 Tracy '02 Fontana 3:59:08 JPM '99 Denver 4:00:16 Papis '00 Homestead 4:00:44 Franchitti '02 Laguna Seca 4:02:39 Bruno '01 Milwaukee 4:03:25 Carpentier '02 Vancouver 4:04:34 JPM '99 Milwaukee 4:05:04 Kanaan '02 Cleveland 4:05:55 Jones '99 Gateway 4:06:30 da Matta '02 Laguna Seca 4:07:38 Vasser '99 Motegi 4:08:13 Fontana '00 Long Beach 4:09:49 Bruno '01 Milwaukee 4:10:54 Carpentier '02 Cleveland 4:11:59 Andretti '99 Gateway 4:12:51 Franchitti '02 Road America 4:14:29 Zanardi '98 Toronto 4:15:51 da Matta '02 Fontana 4:16:51 Ribiero '97 Toronto 4:19:16 Nakano '00 Laguna Seca 4:20:12 Gidley '01 Fontana 4:20:42 Kanaan '99 Mid-Ohio 4:21:48 da Matta '01 Fontana 4:22:33 Andretti '02 Monterrey 4:24:22 Pruett '96 Toronto 4:26:40 Vasser '99 Michigan
4:27:33

No one: *insert lack of people here*: Me: Here's over four hours of CART 1996-02 onboard footage with timestamps if you want to find a driver that you like #INDYCAR Timestamps (Driver, Year, Track) 0:00 JPM '99 Long Beach 1:00 Andretti '97 Portland 1:43 Takagi '02 Motegi 2:08 JPM '00 Denver 2:57 Fernandez '99 Fontana 3:57 Gordon '96 Toronto 4:53 Andretti '98 Rio de Janeiro 6:41 Brack '02 Toronto 7:37 de Ferran '97 Fontana 8:59 da Matta '02 Monterrey 12:13 Gugelmin '01 Texas 12:40 Papis '00 Toronto 13:40 Bruno '01 Nazareth 14:10 de Ferran '96 Cleveland 15:06 Vasser '00 Michigan 15:37 Fernandez '98 Toronto 16:47 Dixon '01 Rockingham 17:29 Johansson '96 Vancouver 18:05 Tracy '02 Chicago 19:11 Rahal '96 Long Beach 19:59 Servia '02 Rockingham 20:43 Vasser '96 Toronto 22:16 Andretti '97 Fontana 23:08 Bruno '02 Denver 25:43 Pruett '98 Michigan 26:16 JPM '00 Road America 26:54 de Ferran '97 Gateway 27:26 Brack '02 Laguna Seca 29:33 Andretti '96 Milwaukee 31:33 Zanardi '98 Toronto 33:01 Papis '02 Fontana 33:53 Bruno '01 Toronto 35:15 Fittipaldi '96 Portland 36:12 Servia '02 Rockingham 36:40 Zanardi '98 Toronto 37:49 Andretti '96 Rio de Janeiro 38:34 Tracy '02 Vancouver 40:32 JPM '99 Homestead 41:11 Papis '01 Long Beach 41:39 Franchitti '02 Rockingham 42:11 Zanardi '98 Toronto 44:30 Gugelmin '01 Monterrey 45:10 Hearn '99 Milwaukee 46:15 Andretti '02 Monterrey 48:56 Brack '01 Chicago 49:26 da Matta '02 Road America 51:21 Pruett '98 Gateway 51:53 Tags '02 Toronto 52:34 Vasser '98 Motegi 53:06 Papis '02 Mid-Ohio 53:41 Hearn '98 Nazareth 54:18 da Matta '02 Monterrey 55:24 Vasser '00 Nazareth 56:25 Franchitti '02 Mexico City 57:40 Zanardi '98 Michigan 58:06 Franchitti '02 Portland 1:00:46 Vasser '00 Rio de Janeiro 1:01:34 Fittipaldi '98 Vancouver 1:02:42 Vasser '99 Nazareth 1:03:42 de Ferran '98 Denver 1:04:36 Fittipaldi '96 Mid-Ohio 1:05:29 Dixon '01 Vancouver 1:06:26 Rahal '98 Laguna Seca 1:08:10 Brack '02 Vancouver 1:09:16 Pruett '97 Rio de Janeiro 1:09:55 Rahal '98 Surfers Paradise 1:11:13 Minassian '01 Texas 1:12:48 Franchitti '02 Monterrey 1:14:27 Kanaan '99 Surfers Paradise 1:15:09 Vasser '96 Homestead 1:16:01 Franchitti '02 Mid-Ohio 1:17:16 Papis '00 Cleveland 1:18:18 Bruno '02 Road America 1:20:32 Andretti '99 Homestead 1:20:54 Bruno '01 Vancouver 1:22:07 Andretti '99 Motegi 1:23:11 JPM '00 Vancouver 1:23:41 Tracy '02 Laguna Seca 1:25:22 Minassian '01 Denver 1:26:23 Andretti '99 Gateway 1:26:49 Bruno '02 Denver 1:28:46 Andretti '99 Road America 1:30:04 Dixon '01 Surfers Paradise 1:30:37 Franchitti '02 Portland 1:32:48 Vasser '96 Vancouver 1:33:24 Andretti '98 Nazareth 1:34:00 Tracy '02 Toronto 1:34:56 JPM '99 Portland 1:36:45 Rahal '97 Homestead 1:37:24 Carpentier '02 Road America 1:39:02 da Matta '00 Nazareth 1:40:14 Zanardi '98 Toronto 1:40:59 Johansson '96 Portland 1:41:54 Brack '02 Long Beach 1:42:33 Boesel '97 Laguna Seca 1:43:28 Andretti '99 Homestead 1:44:26 Rahal '98 Denver 1:45:57 Johnstone '96 Portland 1:46:55 JPM '00 Chicago 1:47:35 da Matta '02 Laguna Seca 1:49:36 Brack '01 Chicago 1:50:44 Carpentier '02 Montreal 1:52:25 Gidley '01 Rockingham 1:53:01 Vasser '02 Mid-Ohio 1:54:23 Dixon '01 Houston 1:55:12 JPM '99 Milwaukee 1:56:15 Gugelmin '01 Mid-Ohio 1:57:13 Tracy '02 Miami 1:59:02 Pruett '98 Fontana 1:59:37 Andretti '99 Portland 2:00:32 Papis '00 Michigan 2:01:23 Andretti '96 Laguna Seca 2:03:21 Fernandez '99 Surfers Paradise 2:04:23 Brack '02 Fontana 2:05:24 Papis '00 Cleveland 2:06:08 da Matta '02 Laguna Seca 2:10:12 Ribiero '97 Michigan 2:10:59 Brack '02 Vancouver 2:12:26 Fernandez '99 Laguna Seca 2:13:49 Rahal '97 Fontana 2:14:27 Gidley '01 Road America 2:15:14 Fernandez '02 Milwaukee 2:16:26 Zanardi '98 Vancouver 2:17:54 Fittipaldi '97 Laguna Seca 2:18:58 Bell '02 Motegi 2:19:39 JPM '00 Laguna Seca 2:20:32 Pruett '98 Gateway 2:21:07 Franchitti '02 Toronto 2:23:08 JPM '99 Portland 2:24:08 Dixon '01 Lausitz 2:24:44 Vasser '02 Denver 2:25:55 Fernandez '01 Motegi 2:27:19 Tracy '02 Mexico City 2:28:20 Fittipaldi '99 Gateway 2:29:38 Carpentier '02 Mid-Ohio 2:30:13 Andretti '97 Surfers Paradise 2:31:40 Vasser '96 Nazareth 2:32:05 de Ferran '97 Long Beach 2:33:13 Vasser '99 Homestead 2:33:39 Kanaan '02 Cleveland 2:34:30 Fernandez '01 Chicago 2:35:58 Brack '02 Laguna Seca 2:37:21 Fernandez '01 Texas 2:37:49 JPM '99 Denver 2:38:44 de Ferran '97 Rio de Janeiro 2:39:28 Hearn '98 Road America 2:44:50 Brack '02 Vancouver 2:44:02 Andretti '98 Homestead 2:45:00 Tracy '02 Laguna Seca 2:46:16 Gidley '01 Chicago 2:47:12 Fittipaldi '96 Cleveland 2:48:18 JPM '00 Portland 2:49:57 Rahal '98 Motegi 2:50:28 Blundell '00 Long Beach 2:51:39 Franchitti '02 Rockingham 2:52:03 Andretti '99 Mid-Ohio 2:53:25 Tracy '02 Vancouver 2:54:33 Gugelmin '01 Portland 2:55:41 JPM '00 Denver 2:56:44 Franchitti '02 Motegi 2:57:25 Zanardi '98 Toronto 2:59:41 Franchitti '02 Rockingham 3:00:17 JPM '00 Laguna Seca 3:01:35 Tracy '02 Toronto 3:04:18 Brack '01 Michigan 3:04:51 da Matta '02 Monterrey 3:06:04 Jones '99 Rio de Janeiro 3:06:57 JPM '00 Houston 3:07:33 Fernandez '02 Monterrey 3:09:02 Bruno '01 Nazareth 3:10:20 Rahal '96 Toronto 3:11:23 da Matta '02 Road America 3:13:42 Pruett '96 Nazareth 3:14:40 JPM '00 Road America 3:15:23 Fittipaldi '99 Cleveland 3:16:31 Hearn '98 Rio de Janeiro 3:17:58 Andretti '02 Road America 3:18:54 Vasser '96 Milwaukee 3:19:37 Franchitti '02 Portland 3:20:34 Andretti '97 Toronto 3:21:26 Vasser '99 Milwaukee 3:22:06 Papis '00 Vancouver 3:22:48 Bruno '01 Laguna Seca 3:24:10 Rahal '97 Rio de Janeiro 3:25:22 Brack '02 Denver 3:26:15 Gordon '99 Chicago 3:27:03 Fittipaldi '96 Portland 3:27:41 Nakano '01 Motegi 3:28:34 Vasser '02 Denver 3:29:46 Andretti '99 Milwaukee 3:30:27 Pruett '98 Mid-Ohio 3:31:23 Papis '00 Milwaukee 3:31:55 Andretti '99 Denver 3:33:01 Bruno '01 Nazareth 3:33:34 Carpentier '02 Montreal 3:35:11 Andretti '99 Nazareth 3:36:01 JPM '00 Mid-Ohio 3:37:05 Rahal '98 Rio de Janeiro 3:37:48 Kanaan '02 Cleveland 3:39:01 Vasser '00 Motegi 3:40:10 Fittipaldi '02 Montreal 3:41:20 da Matta '00 Michigan 3:41:55 Zanardi '98 Toronto 3:42:57 Papis '00 Milwaukee 3:43:53 Bruno '02 Portland 3:44:48 da Matta '01 Fontana 3:45:42 Zanardi '98 Portland 3:46:42 Andretti '99 Nazareth 3:47:44 Carpentier '02 Mid-Ohio 3:48:55 Andretti '99 Fontana 3:49:42 Vasser '01 Houston 3:50:34 Rahal '98 Fontana 3:51:57 JPM '00 Portland 3:53:15 Andretti '99 Cleveland 3:54:30 Vasser '97 Homestead 3:55:30 Andretti '99 Cleveland 3:56:32 Servia '02 Rockingham 3:56:59 Fernandez '01 Surfers Paradise 3:58:27 Tracy '02 Fontana 3:59:08 JPM '99 Denver 4:00:16 Papis '00 Homestead 4:00:44 Franchitti '02 Laguna Seca 4:02:39 Bruno '01 Milwaukee 4:03:25 Carpentier '02 Vancouver 4:04:34 JPM '99 Milwaukee 4:05:04 Kanaan '02 Cleveland 4:05:55 Jones '99 Gateway 4:06:30 da Matta '02 Laguna Seca 4:07:38 Vasser '99 Motegi 4:08:13 Fontana '00 Long Beach 4:09:49 Bruno '01 Milwaukee 4:10:54 Carpentier '02 Cleveland 4:11:59 Andretti '99 Gateway 4:12:51 Franchitti '02 Road America 4:14:29 Zanardi '98 Toronto 4:15:51 da Matta '02 Fontana 4:16:51 Ribiero '97 Toronto 4:19:16 Nakano '00 Laguna Seca 4:20:12 Gidley '01 Fontana 4:20:42 Kanaan '99 Mid-Ohio 4:21:48 da Matta '01 Fontana 4:22:33 Andretti '02 Monterrey 4:24:22 Pruett '96 Toronto 4:26:40 Vasser '99 Michigan

Hickey

13,306 Aufrufe • vor 1 Jahr

PhD Students – How to automatically identify 90% of the issues in your research paper before you submit it to a journal? This is possible through manual or automated paper review. First, let’s understand the following. 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐚 𝐩𝐚𝐩𝐞𝐫 𝐫𝐞𝐯𝐢𝐞𝐰? Paper review is a process in which subject matter experts evaluate your paper based on the following criteria: 1. Significance – Is this research important? 2. Novelty – Is this research new? 3. Methodology – Is this research carried out in the correct way? 4. Verifiability – Can other researchers verify this research? 5. Presentation – Is the research presented in the right way? 𝐖𝐡𝐲 𝐭𝐨 𝐡𝐚𝐯𝐞 𝐲𝐨𝐮𝐫 𝐩𝐚𝐩𝐞𝐫 𝐫𝐞𝐯𝐢𝐞𝐰𝐞𝐝 𝐛𝐞𝐟𝐨𝐫𝐞 𝐬𝐮𝐛𝐦𝐢𝐬𝐬𝐢𝐨𝐧? ➟ Identify the critical issues in your paper ➟ Fix those issues to increase the chances of your paper acceptance 𝐇𝐨𝐰 𝐭𝐨 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞 “𝐬𝐞𝐥𝐟-𝐫𝐞𝐯𝐢𝐞𝐰” 𝐨𝐟 𝐲𝐨𝐮𝐫 𝐩𝐚𝐩𝐞𝐫? Paperpal just launched an amazing feature – AI Review. Using this feature, you can get instant self-feedback. This feature will help you in the following ways. ➝ Check for gaps in your logic ➝ Get feedback on the structure and flow of your writing ➝ Review your research questions ➝ Identify opportunities to strengthen your paper ➝ Increase the chances of your paper acceptance Here is a step-by-step process for using AI Review feature. Step 1: Go to and login. Step 2: Open an existing document or make a new document Step 3: Go to the right-side bar and click on checks | AI Review. Step 4: For this feature to work there should be more than 150 words. Step 5: Copy and paste your paper. Step 6: Now go to the right side and check the prompts Step 7: With these prompts, you will evaluate your paper. Step 8: You will find various prompts e.g., suggest writing feedback, check flow and structure etc. Step 9: You can select a prompt from the existing prompts or write your custom prompt and execute Step 10: Paperpal will generate feedback as per the prompt. Step 11: Read through the feedback and save it for further use. Use other specific prompts for tailored feedback. Step 12: This way you can evaluate various aspects of your paper yourself. This is a very customized and efficient way of automatically reviewing your paper. You can also go one step further to work on the feedback and improve your paper based on suggestions. Please note that AI Review feature does not replace human or expert reviewers in any way. This feature only aims to provide you with quick self-feedback. Try the AI Review feature of Paperpal. Paperpal link:
0:53

PhD Students – How to automatically identify 90% of the issues in your research paper before you submit it to a journal? This is possible through manual or automated paper review. First, let’s understand the following. 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐚 𝐩𝐚𝐩𝐞𝐫 𝐫𝐞𝐯𝐢𝐞𝐰? Paper review is a process in which subject matter experts evaluate your paper based on the following criteria: 1. Significance – Is this research important? 2. Novelty – Is this research new? 3. Methodology – Is this research carried out in the correct way? 4. Verifiability – Can other researchers verify this research? 5. Presentation – Is the research presented in the right way? 𝐖𝐡𝐲 𝐭𝐨 𝐡𝐚𝐯𝐞 𝐲𝐨𝐮𝐫 𝐩𝐚𝐩𝐞𝐫 𝐫𝐞𝐯𝐢𝐞𝐰𝐞𝐝 𝐛𝐞𝐟𝐨𝐫𝐞 𝐬𝐮𝐛𝐦𝐢𝐬𝐬𝐢𝐨𝐧? ➟ Identify the critical issues in your paper ➟ Fix those issues to increase the chances of your paper acceptance 𝐇𝐨𝐰 𝐭𝐨 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞 “𝐬𝐞𝐥𝐟-𝐫𝐞𝐯𝐢𝐞𝐰” 𝐨𝐟 𝐲𝐨𝐮𝐫 𝐩𝐚𝐩𝐞𝐫? Paperpal just launched an amazing feature – AI Review. Using this feature, you can get instant self-feedback. This feature will help you in the following ways. ➝ Check for gaps in your logic ➝ Get feedback on the structure and flow of your writing ➝ Review your research questions ➝ Identify opportunities to strengthen your paper ➝ Increase the chances of your paper acceptance Here is a step-by-step process for using AI Review feature. Step 1: Go to and login. Step 2: Open an existing document or make a new document Step 3: Go to the right-side bar and click on checks | AI Review. Step 4: For this feature to work there should be more than 150 words. Step 5: Copy and paste your paper. Step 6: Now go to the right side and check the prompts Step 7: With these prompts, you will evaluate your paper. Step 8: You will find various prompts e.g., suggest writing feedback, check flow and structure etc. Step 9: You can select a prompt from the existing prompts or write your custom prompt and execute Step 10: Paperpal will generate feedback as per the prompt. Step 11: Read through the feedback and save it for further use. Use other specific prompts for tailored feedback. Step 12: This way you can evaluate various aspects of your paper yourself. This is a very customized and efficient way of automatically reviewing your paper. You can also go one step further to work on the feedback and improve your paper based on suggestions. Please note that AI Review feature does not replace human or expert reviewers in any way. This feature only aims to provide you with quick self-feedback. Try the AI Review feature of Paperpal. Paperpal link:

Faheem Ullah

15,270 Aufrufe • vor 1 Jahr

steal my full workflow to create ultra-realistic AI videos with GPT-6 Astra... higgsfield just released their API, so i took it into real conditions i generated a vlog-style video set in Paris... it looks like raw footage a friend shot on a phone here's the workflow, step by step: > step 1: steal the structure, not the pixels i captured 3-5 scenes from a hotels and river views, then pulled character inspiration from pinterest and real vlogs > step 2: analyze the reference with Gemini i sent Gemini everything i'd collected... videos, audio, keyframes and it gave me a shot-by-shot breakdown, i turned that into instructions > step 3: swap the world, keep the bones i changed a lot on the character and the environment until it felt like something of my own, not a copy > step 4: build reference images first, this is where you iterate images are cheap, video is expensive so i built a character sheet, one image per location in the same mood, then the exact start frame the video opens on, all Nano Banana Pro > step 5: one 30-second video run, not ten 3-second clips the full timestamped script goes to Seedance 2.5 through the API as ONE generation start frame as the anchor, one action per beat, camera and audio described concretely, identity locks at the end so her face, outfit and makeup is locked in Seedance handles the cuts internally > step 6: revise like a director, not a gambler the first cut came back good but not right instead of re-rolling the whole 30 seconds i regenerated only the scenes that needed changes as short clips from their own start frames, then cut them into the master with ffmpeg change one variable at a time, never re-roll what already works > step 7: finish like normal footage i assembled the final cut with ffmpeg from the best takes, added ambient music from a free library and done the rules that made it work: - the reference's structure is the asset, prompt archaeology beats prompt writing - iterate on images, commit on video, the start frame decides 80% of the shot - one action per timestamped beat, crowded beats get skipped or invented - lock identity explicitly or it drifts between cuts - fix failed shots by changing one variable, redo scenes, never the whole video - the last 10% is boring editing: trim, splice, music, encode (save this workflow)
0:30

steal my full workflow to create ultra-realistic AI videos with GPT-6 Astra... higgsfield just released their API, so i took it into real conditions i generated a vlog-style video set in Paris... it looks like raw footage a friend shot on a phone here's the workflow, step by step: > step 1: steal the structure, not the pixels i captured 3-5 scenes from a hotels and river views, then pulled character inspiration from pinterest and real vlogs > step 2: analyze the reference with Gemini i sent Gemini everything i'd collected... videos, audio, keyframes and it gave me a shot-by-shot breakdown, i turned that into instructions > step 3: swap the world, keep the bones i changed a lot on the character and the environment until it felt like something of my own, not a copy > step 4: build reference images first, this is where you iterate images are cheap, video is expensive so i built a character sheet, one image per location in the same mood, then the exact start frame the video opens on, all Nano Banana Pro > step 5: one 30-second video run, not ten 3-second clips the full timestamped script goes to Seedance 2.5 through the API as ONE generation start frame as the anchor, one action per beat, camera and audio described concretely, identity locks at the end so her face, outfit and makeup is locked in Seedance handles the cuts internally > step 6: revise like a director, not a gambler the first cut came back good but not right instead of re-rolling the whole 30 seconds i regenerated only the scenes that needed changes as short clips from their own start frames, then cut them into the master with ffmpeg change one variable at a time, never re-roll what already works > step 7: finish like normal footage i assembled the final cut with ffmpeg from the best takes, added ambient music from a free library and done the rules that made it work: - the reference's structure is the asset, prompt archaeology beats prompt writing - iterate on images, commit on video, the start frame decides 80% of the shot - one action per timestamped beat, crowded beats get skipped or invented - lock identity explicitly or it drifts between cuts - fix failed shots by changing one variable, redo scenes, never the whole video - the last 10% is boring editing: trim, splice, music, encode (save this workflow)

Machina

24,863 Aufrufe • vor 10 Tagen

GPT-6 Astra is by far the best inside Codex. & this is THE Complete Beginners Guide to Codex. The 28 things you need to know about Codex and GPT-6 to start using it for knowledge work and coding work. My goal with this video: give you one guide you can send to anyone on your team so they can get comfortable with Codex, understand what’s possible, and start finding ways to use AI in your business. 00:00 Intro 01:15 The Codex Platform 02:02 Downloading Codex (ChatGPT Desktop) 03:25 1. Codex Is the App, GPT-6 Is the Model 06:10 2. Build Any App 10:32 3. Host Sites with GPT Sites 18:12 4A. Building Desktop App 21:33 4B. Building an iOS app 24:09 5. Built-In Web Browser 32:27 6. Create Any Document 35:00 7. Annotation Mode 38:41 8. Production-Ready Apps 44:29 9. Chats & Projects 48:54 10. Multitasking 50:09 10B Side Chat 51:13 11. Sections 54:27 12. Connect Every App (Plugins) 01:03:17 13. Ask Codex What to Work On 01:05:39 14. Blender & 3D Assets 01:08:25 15. Video Games 01:09:24 16. Interactive Learning Websites 01:13:12 17. Scheduled Tasks 01:16:19 18. Email & iMessage 01:18:56 19. Skills 01:22:54 20. Record and Replay 01:26:45 21. External APIs in Skills 01:30:00 22. Video Understanding Skill 01:35:51 23. Inline Charts 01:38:03 24. Control Codex from Your Phone 01:42:49 25. Generate & Edit Images 01:45:17 26. Sub-Agents 01:48:09 27. Computer Use 01:49:35 28. Whatever You Want
1:54:46

GPT-6 Astra is by far the best inside Codex. & this is THE Complete Beginners Guide to Codex. The 28 things you need to know about Codex and GPT-6 to start using it for knowledge work and coding work. My goal with this video: give you one guide you can send to anyone on your team so they can get comfortable with Codex, understand what’s possible, and start finding ways to use AI in your business. 00:00 Intro 01:15 The Codex Platform 02:02 Downloading Codex (ChatGPT Desktop) 03:25 1. Codex Is the App, GPT-6 Is the Model 06:10 2. Build Any App 10:32 3. Host Sites with GPT Sites 18:12 4A. Building Desktop App 21:33 4B. Building an iOS app 24:09 5. Built-In Web Browser 32:27 6. Create Any Document 35:00 7. Annotation Mode 38:41 8. Production-Ready Apps 44:29 9. Chats & Projects 48:54 10. Multitasking 50:09 10B Side Chat 51:13 11. Sections 54:27 12. Connect Every App (Plugins) 01:03:17 13. Ask Codex What to Work On 01:05:39 14. Blender & 3D Assets 01:08:25 15. Video Games 01:09:24 16. Interactive Learning Websites 01:13:12 17. Scheduled Tasks 01:16:19 18. Email & iMessage 01:18:56 19. Skills 01:22:54 20. Record and Replay 01:26:45 21. External APIs in Skills 01:30:00 22. Video Understanding Skill 01:35:51 23. Inline Charts 01:38:03 24. Control Codex from Your Phone 01:42:49 25. Generate & Edit Images 01:45:17 26. Sub-Agents 01:48:09 27. Computer Use 01:49:35 28. Whatever You Want

Riley Brown

189,497 Aufrufe • vor 13 Tagen

Engineers need to communicate effectively when building AI Systems. These terms will help you use a shared vocabulary. This is useful when discussing concepts, reading papers, or collaborating with teammates. Listed in order. 00:00 Agenda 00:28 1. Large Language Model 01:28 2. Tokenization 02:53 3. Vectorization 04:15 4. Attention 07:22 5. Self-Supervised Learning 12:07 6. Transformer 14:32 7. Fine-tuning 17:05 8. Few-shot Prompting 18:11 9. Retrieval Augmented Generation 20:33 10. Vector Database 23:03 11. Model Context Protocol 25:43 12. Context Engineering 28:17 13. Agents 29:19 14. Reinforcement Learning 34:42 15. Chain of Thought 35:55 16. Reasoning Models 36:36 17. Multi-modal Models 38:21 18. Small Language Models 40:24 19. Distillation 41:47 20. Quantization If you are a software engineer looking to transition to AI, click the link below. AI Engineering Course: #AI #SoftwareEngineering #Agents
43:33

Engineers need to communicate effectively when building AI Systems. These terms will help you use a shared vocabulary. This is useful when discussing concepts, reading papers, or collaborating with teammates. Listed in order. 00:00 Agenda 00:28 1. Large Language Model 01:28 2. Tokenization 02:53 3. Vectorization 04:15 4. Attention 07:22 5. Self-Supervised Learning 12:07 6. Transformer 14:32 7. Fine-tuning 17:05 8. Few-shot Prompting 18:11 9. Retrieval Augmented Generation 20:33 10. Vector Database 23:03 11. Model Context Protocol 25:43 12. Context Engineering 28:17 13. Agents 29:19 14. Reinforcement Learning 34:42 15. Chain of Thought 35:55 16. Reasoning Models 36:36 17. Multi-modal Models 38:21 18. Small Language Models 40:24 19. Distillation 41:47 20. Quantization If you are a software engineer looking to transition to AI, click the link below. AI Engineering Course: #AI #SoftwareEngineering #Agents

Gaurav Sen

80,282 Aufrufe • vor 1 Jahr

Perform with Dr. Andy Galpin is back. New episode: How to Build a Strong Core & Abs 0:00 Core Training Myths 4:22 Why We Train Abs Wrong 7:27 Abs vs Core Explained 11:17 Look Feel Perform Goals 15:04 How Core Muscles Work 20:26 Stability and Anti Movement 24:00 Do Abs Need Daily Training 29:12 Spinal Safety and Crunches 31:37 Sponsor Eight Sleep 33:08 Testing Core Strength 41:42 Interpreting Test Results 47:02 Choosing Core Exercises 50:18 Isolation vs Compound Core 52:31 Contraction Intensity Rules 53:23 Size Principle Explained 56:16 Loading the Core Safely 1:00:14 Core Moves by Pattern 1:06:35 Program by Muscle Groups 1:08:01 Abs for Aesthetics 1:15:47 Aesthetic Programming Split 1:18:49 Core for Performance 1:21:15 Core for Back Health 1:24:17 Sample Week Template 1:29:22 Five Step Progression 1:35:54 Exercise Order Priorities 1:36:56 Rapid Fire Q and Belts 1:42:35 Final Wrap and Support Includes paid partnerships.
1:43:59

Perform with Dr. Andy Galpin is back. New episode: How to Build a Strong Core & Abs 0:00 Core Training Myths 4:22 Why We Train Abs Wrong 7:27 Abs vs Core Explained 11:17 Look Feel Perform Goals 15:04 How Core Muscles Work 20:26 Stability and Anti Movement 24:00 Do Abs Need Daily Training 29:12 Spinal Safety and Crunches 31:37 Sponsor Eight Sleep 33:08 Testing Core Strength 41:42 Interpreting Test Results 47:02 Choosing Core Exercises 50:18 Isolation vs Compound Core 52:31 Contraction Intensity Rules 53:23 Size Principle Explained 56:16 Loading the Core Safely 1:00:14 Core Moves by Pattern 1:06:35 Program by Muscle Groups 1:08:01 Abs for Aesthetics 1:15:47 Aesthetic Programming Split 1:18:49 Core for Performance 1:21:15 Core for Back Health 1:24:17 Sample Week Template 1:29:22 Five Step Progression 1:35:54 Exercise Order Priorities 1:36:56 Rapid Fire Q and Belts 1:42:35 Final Wrap and Support Includes paid partnerships.

Andy Galpin, PhD

1,718,001 Aufrufe • vor 5 Monaten

Why AI Progress Suddenly Feels Real - my conversation with Yann Dubois, who co-leads the Post-Training Frontiers team at OpenAI 00:00 - Intro 01:30 - Why recent AI progress feels like a step function 04:13 - Model reliability & the emotional rollercoaster of shipping GPT-5.5 07:33 - How OpenAI structures vertical and horizontal teams 09:49 - Improving model efficiency and test-time compute 12:32 - Yann's journey from Switzerland to OpenAI 15:37 - Reasoning in 2026: Real-world utility vs verifiable rewards 18:34 - GPT-5.5 Thinking vs Pro: Scaling test-time compute 20:09 - How reasoning models become more efficient 23:23 - Pre-training scaling and overcoming the data wall 27:03 - Multimodal data, synthetic data, and embodied AI 31:05 - Demystifying mid-training and post-training 37:21 - Does RL create new capabilities in AI? 38:53 - The challenges and frontier of scaling RL 43:09 - Is building AI models a craft or a strict science 48:21 - How AI models generalize across different domains 54:18 - How reinforcement learning cures AI hallucinations 56:04 - Negative generalization and conflicting instructions 58:05 - Can RL scale to law, medicine, and the broader economy? 1:00:19 - The evaluation bottleneck and Model as a Judge 1:04:21 - Continuous AI progress & continual learning 1:08:49 - Will foundation models eat the agent harness 1:11:23 - Why startups should focus on the last mile of AI
1:13:56

Why AI Progress Suddenly Feels Real - my conversation with Yann Dubois, who co-leads the Post-Training Frontiers team at OpenAI 00:00 - Intro 01:30 - Why recent AI progress feels like a step function 04:13 - Model reliability & the emotional rollercoaster of shipping GPT-5.5 07:33 - How OpenAI structures vertical and horizontal teams 09:49 - Improving model efficiency and test-time compute 12:32 - Yann's journey from Switzerland to OpenAI 15:37 - Reasoning in 2026: Real-world utility vs verifiable rewards 18:34 - GPT-5.5 Thinking vs Pro: Scaling test-time compute 20:09 - How reasoning models become more efficient 23:23 - Pre-training scaling and overcoming the data wall 27:03 - Multimodal data, synthetic data, and embodied AI 31:05 - Demystifying mid-training and post-training 37:21 - Does RL create new capabilities in AI? 38:53 - The challenges and frontier of scaling RL 43:09 - Is building AI models a craft or a strict science 48:21 - How AI models generalize across different domains 54:18 - How reinforcement learning cures AI hallucinations 56:04 - Negative generalization and conflicting instructions 58:05 - Can RL scale to law, medicine, and the broader economy? 1:00:19 - The evaluation bottleneck and Model as a Judge 1:04:21 - Continuous AI progress & continual learning 1:08:49 - Will foundation models eat the agent harness 1:11:23 - Why startups should focus on the last mile of AI

Matt Turck

101,314 Aufrufe • vor 4 Monaten

Cursor Complete Guide for AI Coding... 1. The Basics, Composer, Cursor 2.0, Why use Cursor? 2. Multiple Agent Testing, Adding Database, Deploying to Vercel 3. Comparing the big 4: v0, Replit, Lovable, Cursor And more... with Senior Software Engineer Kehan Zhang TIME STAMPS --------------- 1. BASICS: 00:00 Introduction 01:01 Overview of Cursor and Its Features 01:47 Getting Started with Cursor 02:39 Understanding IDE and Vibe Coding 06:00 Cursor For Mobile Apps 10:26 Downloading and Installing Cursor 11:17 Creating and Managing Projects in Cursor 15:14 Building a Simple Game with Cursor 19:10 Advanced Features and Customization 40:28 Fixing Styling Rules 40:53 Redesigning the App 42:17 Exploring Cursor 2.0 Features 43:22 Setting Up the Project Structure 44:17 Adding and Testing Meme Templates 46:08 Debugging Text Issues 2. ADVANCED 49:46 Using Multiple Agents 01:10:40 Creating Custom Commands 01:14:15 Creating Commands in Settings Tab 01:15:11 Introduction to Instant DB 01:16:04 Setting Up Instant DB in Your Project 01:18:24 Building a Full Stack Application 01:19:04 Using the Agent to Plan and Build 01:26:06 Testing and Debugging the Application 01:53:02 Deploying the Application with Vercel 01:55:35 Setting Up the CLI 01:56:15 Understanding Command Line Interfaces (CLI) 01:57:32 Deploying Code to Vercel 01:58:07 Handling Environment Variables 01:58:44 Interacting with the Vercel Deployment 02:00:34 Exploring Cursor's Capabilities 3. COMPARING VIBE CODING TOOLS 02:09:48 Comparing Vibe Coding Tools 02:31:04 Final Thoughts and Recommendations
2:34:13

Cursor Complete Guide for AI Coding... 1. The Basics, Composer, Cursor 2.0, Why use Cursor? 2. Multiple Agent Testing, Adding Database, Deploying to Vercel 3. Comparing the big 4: v0, Replit, Lovable, Cursor And more... with Senior Software Engineer Kehan Zhang TIME STAMPS --------------- 1. BASICS: 00:00 Introduction 01:01 Overview of Cursor and Its Features 01:47 Getting Started with Cursor 02:39 Understanding IDE and Vibe Coding 06:00 Cursor For Mobile Apps 10:26 Downloading and Installing Cursor 11:17 Creating and Managing Projects in Cursor 15:14 Building a Simple Game with Cursor 19:10 Advanced Features and Customization 40:28 Fixing Styling Rules 40:53 Redesigning the App 42:17 Exploring Cursor 2.0 Features 43:22 Setting Up the Project Structure 44:17 Adding and Testing Meme Templates 46:08 Debugging Text Issues 2. ADVANCED 49:46 Using Multiple Agents 01:10:40 Creating Custom Commands 01:14:15 Creating Commands in Settings Tab 01:15:11 Introduction to Instant DB 01:16:04 Setting Up Instant DB in Your Project 01:18:24 Building a Full Stack Application 01:19:04 Using the Agent to Plan and Build 01:26:06 Testing and Debugging the Application 01:53:02 Deploying the Application with Vercel 01:55:35 Setting Up the CLI 01:56:15 Understanding Command Line Interfaces (CLI) 01:57:32 Deploying Code to Vercel 01:58:07 Handling Environment Variables 01:58:44 Interacting with the Vercel Deployment 02:00:34 Exploring Cursor's Capabilities 3. COMPARING VIBE CODING TOOLS 02:09:48 Comparing Vibe Coding Tools 02:31:04 Final Thoughts and Recommendations

Riley Brown

65,392 Aufrufe • vor 10 Monaten