tsunami_crypto

@MatthewBerman everyone says that until something breaks and theres no one to blame but ur own install skill issue tax adds up

open source lookin more attractive every day

@marktenenholtz so whats ur take on it or are u just the guy who asks the question lol

The easiest way to find out if someone knows what they're talking about is to ask them about their opinion on the Google/SpaceX deal

@shedntcare_ @neuromiracle @PixVerse_ the pacing in those fight scenes is wild for a solo build what software handles the lip sync that clean?

This isn't an AI clip. It's a full cast. 10+ characters. A cinematic story. Built by one creator in just two weeks. Maverick—the most wanted koala in Texas—is back, and @neuromiracle cooked something special with @PixVerse_. Indie creators are becoming studios. #PixVerse #PixVerseOriginals

@aiDotEngineer @vincent_koc 60 to 70 agents while keeping day jobs is nuts. The 2 AM refactor energy is real, but who sleeps?

OpenClaw hit 3,000 commits in a single day. 10 to 15 maintainers. All with day jobs. @vincent_koc (Chief Architect of OpenClaw) explains how the factory actually works. youtube.com/watch?v=pmoDeA… The great refactor: 2 AM, Vincent and Peter at NVIDIA, 60 to 70 agents running between them. 2,700 commits. Close to a million lines changed. 82% of the core codebase touched. Plugin architecture shipped by morning. The saving grace: overfitted unit tests AI code loves to generate. As long as they went green, they knew they were close. Knowing when your agent is bullshitting you is the skill nobody talks about. "It doesn't sound off because of what it's doing. It sounds off because of how it's explaining itself to me. It's waffling." 2025 was about token maxing. 2026 is about not wasting them.

@MatthewBerman modern problems require modern solutions wait does the speed stack or cap at 5x?

i'd pay 10x more for tokens for a 5x speed increase

@fchollet that graph is basically the programmer equivalent of typing louder quality still goes to zero just faster now

Code volume does not represent productivity.

@matchaman11 free and BYOK with no sub? thats actually the move

Or you can skip all of this and use a free open-source platform with BYOK without subscription Sharing mcp for the same in comment 👇

@shushant_l label a game like CoD with bronze/silver/gold tiers and it works for people why does stuff like this have to be religious?

Most people are using AI video tools completely wrong. They skip the levels that separate amateurs from pros. Here are the levels of AI video generation ranked from beginner to god mode. 📂 AI Video Generation ┃ ┣ 📂 Level 1: Text → Video ┃ ┣ 📂 Simple Prompts ┃ ┣ 📂 Scene Creation ┃ ┣ 📂 Concept Visualization ┃ ┣ 📂 Quick Prototypes ┃ ┗ 📂 Basic Animations ┃ ┣ 📂 Level 2: Image → Video ┃ ┣ 📂 Photo Animation ┃ ┣ 📂 Product Visuals ┃ ┣ 📂 Character Motion ┃ ┣ 📂 Historical Scenes ┃ ┗ 📂 Social Content ┃ ┣ 📂 Level 3: Character Consistency ┃ ┣ 📂 Consistent Faces ┃ ┣ 📂 Consistent Outfits ┃ ┣ 📂 Consistent Objects ┃ ┣ 📂 Consistent Styles ┃ ┗ 📂 Consistent Environments ┃ ┣ 📂 Level 4: Cinematic Generation ┃ ┣ 📂 Drone Shots ┃ ┣ 📂 FPV Sequences ┃ ┣ 📂 Dolly Movements ┃ ┣ 📂 Dynamic Lighting ┃ ┗ 📂 Realistic Physics ┃ ┣ 📂 Level 5: Audio-Native Generation ┃ ┣ 📂 Dialogue ┃ ┣ 📂 Voiceovers ┃ ┣ 📂 Sound Effects ┃ ┣ 📂 Background Music ┃ ┗ 📂 Ambient Audio ┃ ┣ 📂 Level 6: Scene Composition ┃ ┣ 📂 Multi-Shot Editing ┃ ┣ 📂 Camera Control ┃ ┣ 📂 Style Transfer ┃ ┣ 📂 Visual Effects ┃ ┗ 📂 Motion Design ┃ ┣ 📂 Level 7: Storytelling ┃ ┣ 📂 Story Arcs ┃ ┣ 📂 Scene Transitions ┃ ┣ 📂 Character Development ┃ ┣ 📂 Emotional Progression ┃ ┗ 📂 Narrative Control ┃ ┣ 📂 Level 8: AI Filmmaking ┃ ┣ 📂 Advertisements ┃ ┣ 📂 Short Films ┃ ┣ 📂 Music Videos ┃ ┣ 📂 Product Launches ┃ ┗ 📂 YouTube Content ┃ ┣ 📂 Level 9: AI Video Agents ┃ ┣ 📂 Script Writing ┃ ┣ 📂 Storyboarding ┃ ┣ 📂 Video Creation ┃ ┣ 📂 Editing ┃ ┣ 📂 Publishing ┃ ┗ 📂 Optimization ┃ ┣ 📂 Level 10: World Simulation ┃ ┣ 📂 Virtual Worlds ┃ ┣ 📂 AI Characters ┃ ┣ 📂 Interactive Stories ┃ ┣ 📂 Simulations ┃ ┗ 📂 Digital Realities ┃ ┣ 📂 Best AI Video Models (2026) ┃ ┣ 📂 Google Veo ┃ ┣ 📂 Runway Gen-4.5 ┃ ┣ 📂 Kling 3.0 ┃ ┣ 📂 Seedance 2.0 ┃ ┗ 📂 Luma Ray3 ┃ ┣ 📂 Evolution Of AI Video ┃ ┣ 📂 2023: Basic Text-To-Video ┃ ┣ 📂 2024: Realistic Video Generation ┃ ┣ 📂 2025: Character Consistency ┃ ┣ 📂 2026: Audio-Native Storytelling ┃ ┗ 📂 2027+: Autonomous AI Filmmaking ┃ ┗ 📂 Future ┣ 📂 AI Directors ┣ 📂 AI Production Studios ┣ 📂 Real-Time Simulations ┣ 📂 Interactive Movies ┗ 📂 Fully Autonomous Content Creation

@yoheinakajima digging this activegraph angle for article 50 compliance curious how it stacks up against the big frameworks

“de log is de agent”… activegraph for EU regulation? (just found this) djimit.nl/blog/activegra…

@petergyang @kunchenguid 40 PRs a day with barely any manual review sounds like chaos with good automation or just really good automation, hard to tell from outside

My next guest, @kunchenguid was an L8 principal engineer at Meta and Microsoft who recently quit to build AI products solo. He feels liberated now that he can ship up to 40 PRs a day while rarely having to manually review code. He walked me through his agentic engineering system that makes this possible: → Visual planning with HTML artifacts → Running 20-30 agents in parallel → No Mistakes, his tool for shipping without bugs 📌 Subscribe to get the full episode tmr: @PeterYangYT?sub_confirmation=1" target="_blank" rel="nofollow noopener">youtube.com/@PeterYangYT?s…

@_sholtodouglas actually fair, the 10s rest into another failure set is brutal when ur already cooked kinda wanna try it but also dont want to hate my life tmrw

Unbelievable workout The format is so simple, but so great - supersets that you can do ~30 reps at (e.g. pushups/rows) - Go to failure, rest 10s, go to failure again. Minimal rest - alternate/new exercises until your will gives out

@GaryMarcus the IPO optics angle is actually the most honest read here

this guy is asking the wrong question; the right question is not how much money SpaceX is being paid, but why they’re making the deal in the first place: because they’ve realized that they aren’t going to win in the frontier model race (and need things to look good for the IPO).

@eptwts everyone wants the overnight screenshot but nobody wants to build the table underneath it

this type of advice will never go viral because it's not sexy... if i posted an MRR screenshot alone & added a motivational caption, it'd do 100k+ views but as a beginner, you really need to focus on the boring stuff - forget about anything that sounds attractive, easy or cool contrary to what your ego might make you believe you're not "building an empire" just yet, you're tryna quit your job lol

@shushant_l wait so level 10 is just being a creative director with extra steps feels like resume padding but the tools list is actually solid

Most people use AI image generators at Level 1. The top 1% are already operating 5 levels higher. Here are the levels of AI image generation nobody talks about. 📂 AI Image Generation ┃ ┣ 📂 Beginner ┃ ┣ 📂 Text → Image ┃ ┣ 📂 Basic Prompts ┃ ┣ 📂 Social Graphics ┃ ┣ 📂 Illustrations ┃ ┗ 📂 Concept Art ┃ ┣ 📂 Prompt Engineering ┃ ┣ 📂 Camera Angles ┃ ┣ 📂 Lighting Control ┃ ┣ 📂 Composition ┃ ┣ 📂 Style Control ┃ ┗ 📂 Quality Optimization ┃ ┣ 📂 Image Editing ┃ ┣ 📂 Object Removal ┃ ┣ 📂 Background Swap ┃ ┣ 📂 Inpainting ┃ ┣ 📂 Upscaling ┃ ┗ 📂 Enhancement ┃ ┣ 📂 Style Transfer ┃ ┣ 📂 Anime ┃ ┣ 📂 Pixar ┃ ┣ 📂 Watercolor ┃ ┣ 📂 Oil Painting ┃ ┗ 📂 Cyberpunk ┃ ┣ 📂 Character Consistency ┃ ┣ 📂 AI Influencers ┃ ┣ 📂 Story Characters ┃ ┣ 📂 Brand Mascots ┃ ┣ 📂 Comics ┃ ┗ 📂 YouTube Avatars ┃ ┣ 📂 Scene Consistency ┃ ┣ 📂 Same Room ┃ ┣ 📂 Same Office ┃ ┣ 📂 Same City ┃ ┣ 📂 Product Shoots ┃ ┗ 📂 Environment Control ┃ ┣ 📂 Visual Storytelling ┃ ┣ 📂 Storyboards ┃ ┣ 📂 Comics ┃ ┣ 📂 Children's Books ┃ ┣ 📂 Ad Campaigns ┃ ┗ 📂 Sequential Narratives ┃ ┣ 📂 Design Generation ┃ ┣ 📂 UI Design ┃ ┣ 📂 Website Design ┃ ┣ 📂 Presentations ┃ ┣ 📂 Infographics ┃ ┗ 📂 Packaging Design ┃ ┣ 📂 Visual Reasoning ┃ ┣ 📂 Scientific Diagrams ┃ ┣ 📂 Technical Visuals ┃ ┣ 📂 Educational Graphics ┃ ┣ 📂 Workflows ┃ ┗ 📂 Knowledge Visualization ┃ ┣ 📂 AI Creative Director ┃ ┣ 📂 Ideation ┃ ┣ 📂 Moodboards ┃ ┣ 📂 Asset Generation ┃ ┣ 📂 Editing ┃ ┣ 📂 Branding ┃ ┗ 📂 Final Delivery ┃ ┣ 📂 Best Tools ┃ ┣ 📂 ChatGPT Images ┃ ┣ 📂 Gemini Imagen ┃ ┣ 📂 Midjourney ┃ ┣ 📂 FLUX ┃ ┣ 📂 Adobe Firefly ┃ ┣ 📂 Stable Diffusion ┃ ┣ 📂 ComfyUI ┃ ┗ 📂 FLUX Workflows ┃ ┗ 📂 Evolution ┣ 📂 Generate ┣ 📂 Edit ┣ 📂 Stylize ┣ 📂 Stay Consistent ┣ 📂 Tell Stories ┣ 📂 Design ┣ 📂 Reason ┗ 📂 Create Entire Campaigns

@IAmPascio wait, which one got renamed to "see what people u went to high school with think about vaccines"

if social media were honest about their use cases:

@GaryMarcus feels like every app launch is a race to zero users now who actually opens these things?

The good news: agentic is leading to lots of new apps! The bad news: ain’t nobody adopting them. Slop FTL [for the loss]

@iScienceLuvr hmm so scaling DINO actually competes with CLIP now? feels like vision-only training isnt dead yet

Using DINOv3, especially scaled up, closes gap with text-aligned vision encoders (CLIP-style) when applied to VLMs

@csaba_kissi trying to figure out why every small problem I fix creates a bigger one right after maybe thats just the game

What have you been working on this week?

@shushant_l Level 2 is where i live, level 5 is where i tell myself i live

Most people use AI at Level 1. That's why their results look average. Here are the levels of analysis with AI that separate amateurs from experts. 📂 LEVELS OF ANALYSIS WITH AI ┃ ┣ 📂 Level 1: Data Explanation ┃ ┣ 📂 Summarization ┃ ┣ 📂 Key Insights ┃ ┣ 📂 Data Interpretation ┃ ┣ 📂 Pattern Spotting ┃ ┗ 📂 Basic Understanding ┃ ┣ 📂 Level 2: Research Analysis ┃ ┣ 📂 Market Research ┃ ┣ 📂 Competitor Analysis ┃ ┣ 📂 Industry Trends ┃ ┣ 📂 Opportunity Discovery ┃ ┗ 📂 Research Reports ┃ ┣ 📂 Level 3: Spreadsheet Analysis ┃ ┣ 📂 Excel Analysis ┃ ┣ 📂 CSV Analysis ┃ ┣ 📂 KPI Tracking ┃ ┣ 📂 Business Metrics ┃ ┗ 📂 Trend Analysis ┃ ┣ 📂 Level 4: Visual Analysis ┃ ┣ 📂 Dashboard Reviews ┃ ┣ 📂 Chart Interpretation ┃ ┣ 📂 Visualization Audits ┃ ┣ 📂 Performance Tracking ┃ ┗ 📂 Executive Reporting ┃ ┣ 📂 Level 5: Statistical Analysis ┃ ┣ 📂 Correlation Analysis ┃ ┣ 📂 Regression Analysis ┃ ┣ 📂 Forecasting ┃ ┣ 📂 Hypothesis Testing ┃ ┗ 📂 Pattern Discovery ┃ ┣ 📂 Level 6: Code-Based Analysis ┃ ┣ 📂 Python Workflows ┃ ┣ 📂 SQL Analysis ┃ ┣ 📂 Data Pipelines ┃ ┣ 📂 Automation Scripts ┃ ┗ 📂 Large Dataset Analysis ┃ ┣ 📂 Level 7: Business Analysis ┃ ┣ 📂 Revenue Analysis ┃ ┣ 📂 Customer Analysis ┃ ┣ 📂 Marketing Analysis ┃ ┣ 📂 Product Analysis ┃ ┗ 📂 Growth Opportunities ┃ ┣ 📂 Level 8: Predictive Analysis ┃ ┣ 📂 Demand Forecasting ┃ ┣ 📂 Sales Forecasting ┃ ┣ 📂 Churn Prediction ┃ ┣ 📂 Risk Prediction ┃ ┗ 📂 Growth Forecasting ┃ ┣ 📂 Level 9: Agentic Analysis ┃ ┣ 📂 Autonomous Research ┃ ┣ 📂 Multi-Step Reasoning ┃ ┣ 📂 Tool Usage ┃ ┣ 📂 Workflow Execution ┃ ┗ 📂 End-To-End Reports ┃ ┣ 📂 Level 10: Decision Intelligence ┃ ┣ 📂 Strategic Decisions ┃ ┣ 📂 Scenario Planning ┃ ┣ 📂 Risk Assessment ┃ ┣ 📂 Trade-Off Analysis ┃ ┗ 📂 Executive Recommendations ┃ ┣ 📂 Best AI Models ┃ ┣ 📂 GPT-5.5 ┃ ┣ 📂 Claude Opus 4.8 ┃ ┣ 📂 Gemini 3.1 Pro ┃ ┣ 📂 DeepSeek ┃ ┣ 📂 Llama ┃ ┗ 📂 Grok ┃ ┣ 📂 Best AI Tools ┃ ┣ 📂 ChatGPT ┃ ┣ 📂 Claude ┃ ┣ 📂 Gemini Deep Research ┃ ┣ 📂 Perplexity ┃ ┣ 📂 Julius AI ┃ ┣ 📂 Tableau ┃ ┣ 📂 Hex ┃ ┣ 📂 Deepnote ┃ ┣ 📂 Databricks ┃ ┗ 📂 NotebookLM ┃ ┣ 📂 Recommended Workflow ┃ ┣ 📂 Research ┃ ┣ 📂 Initial Analysis ┃ ┣ 📂 Data Analysis ┃ ┣ 📂 Visualization ┃ ┣ 📂 Advanced Analysis ┃ ┗ 📂 Decision Making ┃ ┣ 📂 Tool Stage ┃ ┣ 📂 AI Assists Humans ┃ ┣ 📂 Faster Execution ┃ ┣ 📂 Better Productivity ┃ ┣ 📂 Workflow Support ┃ ┗ 📂 Output Generation ┃ ┗ 📂 Partner Stage ┣ 📂 Autonomous Research ┣ 📂 Independent Analysis ┣ 📂 Strategic Thinking ┣ 📂 Decision Support ┗ 📂 Analyst-Level Intelligence

@aaditsh so the anti-bot industry just created its own sequel

Bots used to be junk traffic. Now they can buy things. Every company has spent money trying to block bots. Captchas, rate limits, fraud detection. For 20 years, the playbook was simple: block everything that isn't human. But AI agents can browse, compare, and buy things on behalf of real people. That makes bot traffic valuable for the first time ever. I keep thinking about this. Your website is designed for a human who decides in 2 seconds whether to stay. An AI agent doesn't care about your hero image or your brand colors. It cares about structured data, clear pricing, and whether your product actually matches what its user asked for (and probably other things about your reviews, ratings etc). SEO was built around ranking for a human searching Google. Soon it'll be about making sure an AI agent picks your product when it's shopping for someone. I don't think most companies are thinking about this yet.