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Codex can generate charts inline... Here are the different charts you can ask for: 1. Before-and-After Diagram 2. Cause-and-Effect Chart 3. System Architecture Diagram 4. Network Map 5. Data-Flow Diagram 6. Information-Flow Diagram 7. Flywheel 8. Feedback Loop 9. Hierarchy Chart 10. Organization Chart 11. Mind Map 12. Concept...

67,862 görüntüleme • 15 gün önce •via X (Twitter)

14 Yorum

Stephen Turner 🇬🇧🇺🇦 profil fotoğrafı
Stephen Turner 🇬🇧🇺🇦14 gün önce

Is there a specific skill or plugin to install?

Agent Native profil fotoğrafı
Agent Native14 gün önce

No it’s built in.

Odama Std. profil fotoğrafı
Odama Std.14 gün önce

Okay, now I’m curious what prompt did you use to get results like this? 🤔

Aditya Yadav profil fotoğrafı
Aditya Yadav14 gün önce

I don't even know about a third of charts mentioned

Sebastian Buzdugan profil fotoğrafı
Sebastian Buzdugan14 gün önce

watched codex architecture diagrams drift after one refactor, so treat them as drafts

Pedro G. Galaviz profil fotoğrafı
Pedro G. Galaviz15 gün önce

Inline charts in the chat is what makes it feel like a notebook, not just a code dump. I use GTP 5.6 Sol to review code and I always ask for a chart to actually understand what I'm reviewing.

Olawoyin Loveth profil fotoğrafı
Olawoyin Loveth14 gün önce

nice project

bbcoder1987 profil fotoğrafı
bbcoder198714 gün önce

非常难看

Lex Glitch profil fotoğrafı
Lex Glitch14 gün önce

chart lists are vanity metrics. the real bottleneck is vector embedding quality for spatial reasoning.

Ramchander profil fotoğrafı
Ramchander14 gün önce

so what is the prompt i need to give

Yenkay profil fotoğrafı
Yenkay14 gün önce

Are these downloadable or extractable iny formats?

Emma Rodriguez profil fotoğrafı
Emma Rodriguez14 gün önce

This is actually a huge upgrade for making ideas visual 👀🔥

Brian Hadu profil fotoğrafı
Brian Hadu14 gün önce

how do you see the feedback loop being used in real projects?

刘朝 Zhao Liu profil fotoğrafı
刘朝 Zhao Liu14 gün önce

A good inline diagram is a debugger’s whiteboard: it exposes the shape of a system before you trace every line. The high-value feature is linking each node to source, data, or a testable claim.

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Ivan on Tech 🍳📈💰 Head Trader @ Bullmania

19,469 görüntüleme • 1 ay önce

BITCOIN HOLDERS BEWARE!!!! 🚨🚨🚨 00:00 Intro - BTC still around the 200 WMA 00:13 BTC weekly chart - Quite nice CPI yet BTC still in bottoming formation. Boredom rules 01:00 Fidelity Spot ETF rising 01:27 CPI made stocks rise - SpaceX time to buy 02:30 SpaceX Elon pumping us to Valhalla - Pivoting to AI 03:00 Kardashev scale - Level up on energy usage 04:42 SPCX 1H chart - many people hae missed the flip 05:48 Bullmania AI - US Stocks pump last 24H 06:40 Shout out to Bullmania - Use the AI 07:43 Saylor Cinematography - BTC is for everyone 09:00 Another Saylor video 09:52 Saylor video - revisited 10:48 All greed - no fear. CPI eases pressure on FED to hike 11:31 Elon video - Company update. 15:48 Elon shocked the world again - Path to 300B ARR 16:53 SEC has major crypto plans coming - boring 17:29 Do 360 investing - Stocks is where the action is at for now 18:25 Fidelity staking ETH 18:56 Goldman Sachs leaps into BTC 19:12 Bitwise CIO video - BTC has bottomed 22:16 Pay attention - accumulation time. Exiting the bear 22:40 Q and A 22:58 AI - CPI exhale trading 23:40 Q1: BIP-110 is closed. Hard fork coming? 25:35 Q2: SOL near halt news? 28:58 Q3: Why do degens go to SOL? 30:53 Q4: Cardano tech is so good you can do anything with it? 34:30 Q5: Nearly all protocols have died on Cardano? 35:12 Q6: ADA did IOG projects in Africa? 36:33 AI answer - DeFi troubles on ADA in the past with eUTXO 37:30 ADA and Pulsechain roast 38:53 Crazy idea - Adding ADA and XRP to the morning prompt 40:45 Adding Robinhood chain 41:08 Asking AI - Robinhood chain and XRP 46:00 Why Robinhood Chain is not good for ETH 47:24 Q7: Is XMR private and confidential? 48:19 Q8: Will alt season start with meme season? 51:02 AI answer - XMR privacy 53:00 About dandylions 55:50 Shout out to Bullmania 56:25 Outro

Ivan on Tech 🍳📈💰 Head Trader @ Bullmania

23,446 görüntüleme • 1 ay önce

Why are Gen Z women so angry at men? Freya India William Costello Tania A Reynolds and I sat down to debate. 0:00 Why Are Modern Women So Angry? 1:34 Depression Spreads Through Networks 4:40 Women Drift Toward Progressive Politics 6:13 Dating Market Gets More Deceptive 8:08 Why Women Choose Singlehood 8:30 Girl Boss Vs. Partnership 8:50 Do Most Women Lean Left? 15:10 Online Outrage Keeps Escalating 15:37 The Rise Of Male Looksmaxxing 17:14 Dating Market Pushes Short-Term Looks 21:10 Why Men And Women Have Different Preferences 24:52 Men Optimizing For Group Chat Scrutiny 28:41 The Pre-Selection Effect 29:35 What Nikki Glaser Reveals About Mate Copying 32:38 Does Insecurity Make Us More Extroverted? 33:27 Gen Z Women: Insecure But Loud 35:33 How Women Adapted To The Modern Workplace 36:49 Assertive Women Disliked By Women 38:36 Why Men Don't Open Up 41:40 How To Help Struggling Men 43:18 Male Vs. Female Feedback Loops 45:27 The Two Mulans 47:43 The Soft Bigotry Of Male Expectations 50:40 The Self-Actualization Trap 53:26 The Hidden Rise Of Benevolent Sexism 55:27 The Mismeasurement Of Men In Psychology 57:51 Liberal Women Are The Unhappiest Group 59:33 Do Women Find Aggression Attractive? 1:01:22 Women Value Protection Above Infidelity 1:07:44 What Sex Dolls Reveal About Male Desire 1:09:28 Why Women Have Small Feet 1:14:10 Who Resents The Opposite Sex More? 1:16:38 Women Are More Sexist (Data) 1:19:15 Do Men Get The Ick Too? 1:21:58 Why Privileged Women Feel More Pessimistic 1:23:52 Manufactured Outrage & Middle Class 1:25:15 Can Men Be Victims Too? 1:28:20 Why Attractiveness Is The Ignored Privilege 1:32:59 Should You Be Friends Before Dating? 1:34:41 Are Opposite-Sex Friendships Platonic? 1:39:11 Is Effortless Beauty More Attractive? 1:43:27 Sydney Sweeney Vs. Sabrina Carpenter 1:43:47 The Game Theory Of Slut Shaming 1:45:04 Where To Find Everyone Paid partnerships included.

Chris Williamson

307,558 görüntüleme • 4 ay önce

America's 250th: Celebration in Song 🇺🇸 50 Classic American Songs (1750-1900) 1. My Days Have Been So Wondrous Free (1759) – 0:05 2. The Liberty Song (1768) – 1:54 3. Young Ladies in Town (1769) – 5:57 4. Fish and Tea (1775) – 8:35 5. The Folks on t’Other Side the Wave (1776) – 11:11 6. The Yankees Return from Camp (1776) – 13:48 7. Chester (1778) – 17:19 8. My Generous Heart Disdains (1788) – 19:25 9. Hail Columbia (1798) – 24:32 10. The Soldier’s Dream (1804) – 28:12 11. Arise Arise Columbia’s Sons Arise (1805) – 32:35 12. Star Spangled Banner (1814) – 36:34 13. The Hunters of Kentucky (1824) – 40:15 14. Zip Coon (1830) – 44:06 15. Woodman Spare That Tree (1837) – 47:19 16. Tippiecanoe and Tyler Too (1840) – 51:10 17. Columbia the Land of the Brave (1843) – 54:04 18. Raising Old Harry (1844) – 57:05 19. Jim Crack Corn (1846) – 59:08 20. Carry Me Back to Old Virginia (1847) – 1:01:08 21. Oh! Susanna (1848) – 1:04:04 22. De Camptown Races (1850) – 1:06:13 23. Old Folks at Home (1851) – 1:08:20 24: Massa’s in the Cold Ground (1852) – 1:11:54 25. My Old Kentucky Home, Good Night (1853) – 1:16:46 26. Song of Liberty (1854) – 1:25:29 27. Darling Nellie Gray (1856) – 1:29:03 28. Lorena (1857) – 1:35:11 29. The Yellow Rose of Texas (1858) – 1:40:50 30. Dixie’s Land (1860) – 1:45:06 31. The Bonnie Blue Flag (1861) – 1:48:47 32. We Conquer or Die (1861) – 1:53:27 33. John Brown’s Body (1861) – 1:56:11 34. The American Flag (1862) – 1:58:59 35. The Battle Cry of Freedom (1862) – 2:02:40 36. Ah! He Kissed Me When He Left Me (1863) – 2:05:42 37. When Johnny Comes Marching Home (1863) – 2:09:38 38. Wake Nicodemus (1864) – 2:11:24 39. Tramp Tramp Tramp (1864) – 2:15:21 40. Marching Through Georgia (1865) – 2:18:02 41. Good Bye, Jeff (1865) – 2:21:22 42. Shew Fly (1869) – 2:23:46 43. The Mulligan Guard (1873) – 2:27:26 44. Carve Dat Possum (1875) – 2:30:54 45. Oh, Dem Golden Slippers (1879) – 2:33:49 46. The Dear Old Folks at Home (1882) – 2:36:53 47. Columbia’s Son (1889) – 2:41:50 48. On the Banks of the Wabash, Far Away (1897) – 2:45:20 49. The Yankee Doodle Boy (1904) – 2:49:57 50. You’re a Grand Old Flag (1906) – 2:53:49 Performed Live in July/August 2026 by Kylan deGhetaldi

Foundring 🇺🇸

21,894 görüntüleme • 27 gün önce

New episode with Adam Marblestone, CEO and co-founder of Convergent Research. Adam is an extraordinary catalyst and accelerant for science: he has influenced or routed billions in funding, he helped start significant companies and scientific subfields, and he is the world’s go-to person for neuroscience roadmapping. This year, the NSF launched a $1.5B X-Labs initiative inspired by the FRO model Adam pioneered. Though he started with neuroscience, today he helps organize scientific endeavors across many fields, including AI, math, biology, climate, astrophysics, and more. Adam proposes that fields like neurotech, whole-brain emulation, cryo, and nanotech are severely limited by capital and coordination — not ideas. Connectomics is a clear case. He argues that mapping the brain's full wiring diagram is the approach most poised-to-scale and still extremely neglected. Costs for a molecularly annotated mouse connectome have come down orders of magnitude, from an estimated $10B to $100M–200M, Adam suggests, with a human connectome perhaps costing around $1B–2B. The cost curve of connectomes is similar to transistors and gene sequencing: once it is low enough, we get extraordinary outcomes for humanity. Near-term applications could pay for it: new drug targets for brain disease, insights for AI development, emulations, and even “control knobs” for mood and focus we haven’t identified yet. In this episode, we go deep on many topics in neurotech and beyond: what the brain can do that computers still can't; what neuroscience could teach AI; how you'd actually map a whole mammal brain; how far today's fly-brain simulations really get toward an upload; what it would take to move mind uploading beyond the fringe or science; where brain-computer interfaces go next; nanotech, reversible cryonics, AI doing its own ML research, and even predictive, agent-based economics. I'm very excited to have Adam on the podcast. Hope you enjoy! Other links to this episode and references below. Chapters 00:00:00 Introduction 00:01:40 What are the grand challenges of neurotech? 00:04:50 What the brain does that computers still can't (on a few bananas a day) 00:14:43 The neuroscience overhang: why brains learn from so little data 00:26:29 How to record and map the brain: DNA "ticker tape," ultrasound, and the unexplored map 00:40:29 Why connectomics is the area most poised to scale 00:47:54 How whole-brain connectomics works, end to end 00:55:27 Simulating the fly brain: how far does it actually get us? 00:57:51 What would it cost to map a mammal's brain? 00:59:55 What will be connectomics' ChatGPT moment? 01:04:35 What a connectome unlocks: disease, drug targets, and the brain's control knobs 01:14:20 Scaling up to the human brain — a faster timeline than expected 01:17:34 Mapping activity, and what the fly connectome has revealed 01:27:55 What you could build with today's connectome 01:35:29 Why uploading may be one of civilization's great cornerstones and transitions 01:42:43 Optimistic visions of a future with uploading 01:49:12 Beyond neurotech: virtual cells, nanotech, and AI-driven science 02:15:29 BCIs today: semi-invasive devices, ultrasound, and what's on the horizon 02:22:44 Why science is capital-and coordination-limited, not idea-limited

Juan Benet

226,807 görüntüleme • 18 gün önce

New episode goes deep into the science of peak athletic performance for the pros and recreational athletes with Andy Galpin, PhD. Galpin’s dual expertise as a research scientist investigating nutrition, supplementation, training, and recovery, and as a performance coach working directly with professional athletes and Olympians, informs an integrated understanding of what truly works in practice. In our conversation, we explore how athletes and fitness enthusiasts can effectively balance immediate athletic goals with long-term health, tackling practical questions such as: • Micronutrient optimization (including magnesium, omega-3, and iron) • Fueling strategies around fasted vs. fed training • What truly matters when fueling for performance • Electrolyte management and hydration timing • Recovery techniques addressing inflammation, soreness, and overtraining • Supplement myths and evidence-based recommendations Links to YouTube, Apple Podcasts, and Spotify in the comments. Timestamps: 0:00 - Introduction 2:07 - Eating to perform vs. eating to live longer 5:27 - Training fasted 12:00 - What to eat before morning strength training 13:59 - Nutrient timing 15:50 - Is intermittent fasting killing your gains? 26:31 - Carbs before resistance training 28:14 - Endurance fueling strategies 33:09 - Post-exercise carb intake 34:42 - Game day fueling 37:32 - Carb supplements vs. whole foods 40:25 - Rethinking fat intake 43:21 - Metabolic flexibility 47:46 - The real test of metabolic health 49:02 - Anaerobic vs. aerobic systems 53:03 - Protein timing 55:33 - Whole foods vs. protein powders 1:00:27 - Fat timing 1:01:54 - Seed oils and saturated fat 1:06:49 - Magnesium 1:08:49 - The problem with magnesium blood tests 1:10:07 - Why the magnesium RDA might not be enough 1:11:00 - Magnesium citrate, glycinate, or threonate? 1:13:01 - Magnesium dosing 1:15:40 - Omega-3 supplementation 1:19:16 - Can omega-3s prevent muscle loss? 1:23:20 - "Performance anchors" vs. supplements 1:27:53 - Iron deficiency 1:30:48 - Caffeine before workouts 1:32:35 - Caffeine cycling 1:35:51 - Can music enhance performance? 1:37:03 - Rhodiola rosea 1:41:44 - Nitric oxide boosters (beetroot, citrulline, arginine) 1:52:13 - Beta-alanine 1:58:11 - Creatine 1:59:24 - Sodium bicarbonate 2:01:42 - Pre-workouts 2:04:00 - Does excess caffeine impair performance? 2:04:46 - Antioxidants & high-dose vitamin C 2:12:18 - Anti-inflammatories 2:14:43 - Tart cherry juice 2:18:10 - Glutamine 2:26:17 - Collagen 2:30:32 - Glucosamine chondroitin 2:31:33 - Recovery—signaling vs. inflammation 2:34:31 - The most important recovery metric 2:36:11 - Blood flow for recovery 2:41:01 - Persistent soreness 2:44:08 - Compression boots 2:45:02 - Water immersion 2:48:19 - Sauna vs. extra miles 2:50:18 - Can localized heat preserve muscle? 2:51:37 - Cold water immersion 2:58:22 - Pre-bed cold exposure for sleep 3:01:37 - HRV vs. resting heart rate 3:09:50 - Respiratory rate 3:14:03 - Are you overtrained—or just overreached? 3:18:47 - Hormones and overtraining 3:22:54 - Does training hard increase your sleep need? 3:25:00 - How to know if you're getting enough sleep 3:28:22 - Sleep trackers 3:30:16 - Hydration timing 3:32:00 - Wind-down index 3:33:08 - Bedroom CO₂ buildup 3:36:46 - Nasal allergies 3:38:29 - Sleep hacks

Dr. Rhonda Patrick

216,737 görüntüleme • 1 yıl önce

Explainer Video of all the Settings of Hiddentrades - Hidden Liquidity Finder It's quite a long one (44 minutes), but wanted to touch on everything important! If you have any questions or suggestions let me know! Giving away 3 Beta access: just Like, RT and Comment! Overview with timestamps: Core Detection & Filtering [00:30] History: Controls how many past candles the script checks (capped at 10,000). Lowering this number significantly speeds up the script's loading time. [01:32] BB Formation Window: Sets how many candles into the future the script will look to see if an order block converts into a breaker block. [02:25] Partial Mitigation: Defines the percentage an order block can be pierced by price action before the setup is considered fully mitigated and invalidated. [04:48] Use ICT OBs: Enforces stricter ICT (Inner Circle Trader) rules. It requires the displacement to have three consecutive confirmation candles moving in the opposite direction. [06:48] Allow Two Candle Impulse: A modifier for the ICT setting that reduces the required displacement confirmation from three candles down to two. [07:39] Only Show Multi-TFs: Cleans up the chart by hiding single breaker blocks, displaying only the stronger multi-timeframe setups. [08:13] Early BB Detection: Allows breaker blocks to confirm and form directly on the next candle after the displacement, helping you spot setups earlier. Order Block & Gap Configuration [09:30] Strict OB Filter: Makes pivot order blocks stricter by validating the height of the specific displacement candles surrounding the block. [11:24] Requires Same Direction Candle: Ensures the candle immediately preceding the order block is moving in the same direction, creating a true pivot point. [12:18] Use Wicks for Pivot Detection: Uses the extremes of the candle wicks to calculate the pivot low/high, rather than relying strictly on the candle bodies. [13:16] OB Candle Color Filter: Adds a strict color requirement to the candles forming the order block to ensure it perfectly aligns with traditional definitions. [14:08] OB Side Mode (Pivot vs. Chain): Allows the script to follow a continuous chain of fair value gaps (FVGs) rather than strictly requiring a perfect pivot setup. [16:13] Displacement Candle Setup: Explains how the script handles displacement candles that open directly inside the order block (common with market gaps). [17:17] Allow Gaps to Create a Breaker Block: Very useful for trading stocks with pre/post-market price jumps, allowing the physical price gap itself to serve as a valid trigger. [18:42] Body Size Filtering: Allows you to set a minimum percentage size for order blocks, with separate inputs for lower, middle, and higher timeframes. Time Frame (TF) Selection Modes [20:07] Auto Mode: Automatically searches up to 20 timeframes above and 20 timeframes below your current chart to find setups. [22:10] Auto From Selected: Uses the auto-search logic, but strictly limits the search to the specific timeframes you have manually checked off. [23:49] Selected Only: Scans exactly the timeframes you select, regardless of the timeframe you are currently viewing on the chart. Visual & Chart Display Settings [25:04] Merge Nearby Breaker Blocks into Clusters: Combines multiple overlapping or nearby zones into one clean, unified cluster zone. [27:27] Show Order Blocks Inside Cluster: Hides isolated single order blocks, only visualizing those that contribute to a larger multi-timeframe cluster. [29:03] Distance Filter: Instantly hides any setups that fall outside a set percentage range (e.g., 10%) from the current market price. [30:01] Show Forming Breaker Blocks: Displays upcoming setups in a faint gray color before the final confirming candle has officially closed. [31:52] Hide Mitigated BB Always: Automatically removes breaker blocks from your screen the moment price action fully mitigates them. [34:10] Show Recently Deleted Breaker Blocks: Keeps failed or mitigated blocks visible in gray for the last 240 candles — an excellent feature for backtesting. [36:03] Text Offsets: Adjusts the padding of the text labels so they sit cleanly away from the chart blocks without overlapping. [37:39] Merge Overlapping Labels: Intelligently combines the text labels of two nearby breaker blocks into a single centered tag to prevent visual clutter. [39:23] Colors and Opacity: Customizes block colors and automatically fades the opacity of lower-timeframe blocks while keeping higher-timeframe blocks solid and prominent. [41:32] Bold Text Label: A simple toggle to bold the chart labels for easier reading.

Marius 👁️⚡🌱

19,456 görüntüleme • 3 ay önce

The Codex Super-App (Full Beginners Guide) The All Purpose Interface for AI Agents Part 1: Codex Basics Install Codex, Projects, Chats, Documents, Plugins, Custom Skills, Automations Part 2: Multitasking with Codex - iOS App Designs - Build an iOS App - Landing Page - Launch Video - Investor Deck - Social Media Automation TIMESTAMPS: Part 1: Codex Basics 00:00 Intro 02:54 Downloading Codex 03:20 Overview of Codex interface 03:56 Chats, Prompting, & Built in Search 04:53 Creating Projects 07:37 Creating Spreadsheet 09:43 How Files are stored and mentioned within projects 10:42 Quick Codex Overview 12:47 Search (CMD G) and Folder Organization 14:29 Skills and Plugins 16:29 Using Calendar Plugin 18:07 Creating Automations on Codex 19:18 Learn about Plugins (Figma) 21:37 Built in Image Gen 22:37 MCP Example (Paper for Design) 24:17 Opening Chats in mini-window 25:26 Steering vs Queueing the Agent 27:35 Creating Own Skill with API's 31:34 Using YouTube Researcher Skill (That we created) 33:24 Creating Automation with your custom skill Part 2: Multitasking (More chaotic and fun) 35:27 Part 2 Multitasking: Building iOS App, Web App, Investor Deck, Launch Video, Mobile Designs, and Automated X Posts 37:54 Creating Project 38:31 Planning my 6 Projects 40:25 Mobile Design Skill 41:47 Setting up iOS App 45:08 Implementing Desings into Mobile app 46:13 Creating a landing page that collects user info 46:45 Tally for form submission (Great for lead magnets) 49:43 Organizing and Renaming Chats for multitasking 52:12 Database for Mobile App (Supabase) 53:19 Generating app icons 54:08 Launch Video (Remotion) 59:32 Remotion Video Timeline and Seeing the Video Editor 01:05:37 Editing instructions for Remotion (Gridlines) 01:07:11 Editing Web App 01:09:46 Using CLAUDE CODE Inside Codex for Design (Terminal) 01:17:20 Forking a Chat to create investor deck 01:19:09 Using Claude 4.7 Opus for Designing Deck 01:20:22 Testing Canva Export (It's good) 01:22:33 Running Mobile App on Actual Phone (Not Simulator) 01:28:58 Finishing up All Projects (Mobile App, Landing Page Launch Video) 01:31:56 Exporting Deck and making changes in Canva 01:33:13 Deploy to Vercel using the Vercel Plugin 01:33:44 Adding Song to Remotion Video 01:35:26 Setting up x Post automations (Typefully) 01:37:57 Our App is on Testflight! 01:39:58 Final Remotion Video 01:41:04 Final Thoughts, Reflections, Summary

Riley Brown

435,948 görüntüleme • 4 ay önce