papaGon @aperubi

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no more having to open photoshop to create alpha textures from photos artofpilgrim.github.io/levels/ same process i use in photoshop: Black and White adjustment + levels but now in the browser

I also got sick of opening photoshop to create dials. so here is artofpilgrim.github.io/Dials/ where you can create your own. Save presets. Export as png/svg. have fun

Pilgrim @ArtOfPilgrim

2 weeks ago

no more having to open photoshop to create alpha textures from photos artofpilgrim.github.io/levels/ same process i use in photoshop: Black and White adjustment + levels but now in the browser

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It’s great to see the gap between reconstruction and generation narrowing so quickly this year kasothaphie.github.io/GenRecon/

Thats awesome! A developer used Al-powered 4D Gaussian Splatting to convert flat video footage into dynamic 3D spatial scenes. The system reconstructs different camera angles and depth information from ordinary footage, making it possible to navigate scenes in three dimensions. We're moving from recording video to digitally recreating reality itself.

AI-Enhanced LiDAR. Left vs right. A real LiDAR device costs thousands of dollars. What's in your iPhone Pro is a "baby LiDAR". Limited depth resolution, noisy output, not really built for high-precision 3D. You can't change the hardware. So we built an ML layer on top. Denoising, geometry completion, detail recovery. Processed server-side. Same sensor. Very different result.

you can test it here: 4dv.ai

🤖 wake up, new 4d tool! Take any normal 2D video → instantly turn it into fully explorable 3D space. You can now orbit, tilt, and view the scene from angles that literally never existed in the original footage. This is 4D Gaussian Splatting (from 4dv) and it’s next-level.

I just backed CardputerZero, Pocket Raspberry Pi Computer for Makers on @Kickstarter kickstarter.com/projects/m5sta…

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Claude just dropped 13 FREE AI courses (with certificates). No $500 course needed. No “guru” required. Just real skills — straight from Anthropic. Here’s the full list: 👇 1. Claude 101 lnkd.in/gCPUQsRg 2. AI Fluency: Frameworks & Foundations lnkd.in/gS6ceZ_M 3. Introduction to Agent Skills lnkd.in/g_wWNiEb 4. Building with the Claude API lnkd.in/gDr5K_B4 5. Claude Code in Action lnkd.in/g9wWZbK9 6. Introduction to Model Context Protocol lnkd.in/gAj5HqMY 7. MCP: Advanced Topics lnkd.in/g3eDwBFY 8. AI Fluency for Students lnkd.in/gKKujHGG 9. AI Fluency for Educators lnkd.in/gVcKnuhA 10. Teaching AI Fluency lnkd.in/g9P4gJFM 11. AI Fluency for Nonprofits lnkd.in/gpsm_BVf 12. Claude with Amazon Bedrock lnkd.in/gbfPjSFt 13. Claude with Google Vertex AI lnkd.in/gvVgB4Ub — If you go through even HALF of these… You’ll be ahead of 95% of people using AI. Most people won’t. Because they’re still: • Watching random YouTube videos • Buying overpriced courses • “Learning AI” without actually building Don’t be that person. Do this instead: 1. Save this post (you’ll come back to it) 2. Pick 1 course → start today 3. Share it with someone who needs this Free. Practical. No excuses.

Every AI system must have these 5 layers. I've explained each layer with examples. 1. 𝗗𝗮𝘁𝗮 This layer manages how data is stored, processed, and retrieved for AI systems. • Vector databases → Store embeddings for search • Embedding models → Convert text into vectors • Document processing → Parse and structure documents • Knowledge graphs → Connect entities and relationships • RAG systems → Retrieve external context for LLM • Semantic caching → Cache responses for faster reuse 𝗘𝘅𝗮𝗺𝗽𝗹𝗲𝘀: Pinecone, Qdrant, Chroma, Neo4j etc. 2. 𝗟𝗟𝗠 This is the core intelligence layer responsible for understanding and generating outputs. • Model selection/routing → Choose best model dynamically • Prompt handling → Structure and optimize inputs • Safety guardrails → Prevent harmful or unsafe outputs • Function execution → Call tools and external APIs • Cost monitoring → Track usage and spending • Observability → Monitor model performance and behavior • Content filtering → Remove unsafe or irrelevant outputs • Bias checking → Detect and reduce biased outputs • Load distribution → Balance traffic across models 𝗘𝘅𝗮𝗺𝗽𝗹𝗲𝘀: GPT-5.3 (Codex), Claude Opus 4.7 etc. 3. 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 This layer manages workflows and coordinates multiple components and agents. • A/B testing → Compare different system versions • State management → Track session and workflow state • Task routing & planning → Decide next action steps • Agent version control → Manage agent updates and changes • Context management → Maintain relevant conversation context • Workflow management → Define multi-step execution flows • Multi-agent coordination → Enable agents to collaborate • Agent handovers → Transfer tasks between agents • Memory handling → Store and retrieve past interactions 𝗘𝘅𝗮𝗺𝗽𝗹𝗲𝘀: LangGraph, CrewAI, Mem0, RabbitMQ etc. 4. 𝗜𝗻𝘁𝗲𝗿𝗳𝗮𝗰𝗲 This is the layer where users interact with the system. • Chat interface → User interacts via text • Voice interface → Speech-based user interaction • Multi-tenant setup → Support multiple users/accounts • API gateway → Manage and route API requests • Embedded widgets → Integrate UI into other apps • WebSockets → Real-time bidirectional communication • Webhooks → Trigger actions via events • Browser add-ons → Extend functionality in browsers 𝗘𝘅𝗮𝗺𝗽𝗹𝗲𝘀: React, Streamlit, Gradio, FastAPI, MCP etc. 5. 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 This layer handles compute, deployment, scaling, and system reliability. • Compute (GPU/TPU) → High-performance model processing • Containers & orchestration → Manage app deployment at scale • Monitoring, logging, security → Track system health and safety • CI/CD pipelines → Automate build and deployment 𝗘𝘅𝗮𝗺𝗽𝗹𝗲𝘀: AWS, GCP, Docker, Kubernetes, RunPod etc. If you need your AI systems to be reliable and scalable, each of these layers needs to be built right. ✅ Repost for others as most people miss these core AI building blocks. Cc : author 👍🏻

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🚨 STOP BURNING YOUR TOKENS! If you use Claude Code, you are probably wasting 80% of your context window. I found 10 ace tools that will completely rescue your API bill. 1. Caveman Claude - Literally makes Claude talk like a caveman - Slashes 75% of output tokens with zero loss in accuracy Repo → github.com/juliusbrussee/… 2. RTK (Rust Token Killer) - A blazing fast proxy that filters terminal output - 60-90% reduction and completely dependency-free Repo → github.com/rtk-ai/rtk 3. Code Review Graph - Claude reads only what matters using a Tree-sitter graph - An unbelievable 49x token reduction on huge monorepos Repo → github.com/tirth8205/code… 4. Context Mode - Sandboxes raw output into SQLite instead of your context - A staggering 98% context reduction on logs & GitHub Repo → github.com/mksglu/context… 5. Claude Token Optimizer - Brilliant setup prompts that optimize any project - 90% token savings, taking docs from 11K to 1.3K Repo → github.com/nadimtuhin/cla… 6. Token Optimizer - Hunts down the invisible ghost tokens eating your context - Fully restores and protects your context quality Repo → github.com/alexgreensh/to… 7. Token Optimizer MCP - Adds aggressive caching and compression to your MCP tools - 95%+ token reduction through pure intelligence Repo → github.com/ooples/token-o… 8. Claude Context - Zilliz’s hybrid vector search MCP - Makes your entire codebase the context for 40% less cost Repo → github.com/zilliztech/cla… 9. Claude Token Efficient - Just drop one CLAUDE.md file into your repo - Enforces strict terseness with zero code changes Repo → github.com/drona23/claude… 10. Token Savior - Navigates your code by symbols, not giant files - 97% reduction on code navigation with persistent memory Repo → github.com/mibayy/token-s… ---- [ The god-tier stack ] Pick 2-3 based on what’s draining you: > Massive repo? Code Review Graph + Token Savior > Heavy terminal output? RTK > MCP data dumps? Context Mode > Need an instant fix? Caveman + Claude Token Efficient Most devs are bleeding tokens. Run `/context` in a fresh session and watch the savings roll in 👀

kaize @0x_kaize

2 months ago

x.com/i/article/2037…

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10 repos blowing up on GitHub this week that replace $1,500/month in AI tools 1. andrej-karpathy-skills → replaces paid Claude Code courses    one CLAUDE.md file from Karpathy's LLM coding observations    48,965 stars. 7,939 stars TODAY github.com/forrestchang/a… 2. claude-mem → replaces paid context/memory tools    auto-captures everything Claude does across sessions    compresses with AI and injects into future sessions    59,373 stars. 1,907 stars today github.com/thedotmack/cla… 3. voicebox → replaces ElevenLabs ($22/mo)    open-source voice synthesis studio    18,963 stars. 887 stars today github.com/jamiepine/voic… 4. open-agents → replaces paid agent platforms ($200/mo)    open-source template for building cloud agents. by Vercel    3,105 stars. 735 stars today github.com/vercel-labs/op… 5. cognee → replaces paid knowledge bases ($50/mo)    AI agent memory engine in 6 lines of code    15,733 stars github.com/topoteretes/co… 6. magika → replaces paid file detection tools    AI file content type detection. by Google    14,603 stars github.com/google/magika 7. GenericAgent → replaces paid agent infra ($100/mo)    self-evolving agent. grows skill tree from 3.3K-line seed    6x less token consumption than standard agents    2,661 stars. 883 stars today github.com/lsdefine/Gener… 8. omi → replaces Rewind AI ($25/mo)    AI that sees your screen + listens to conversations    tells you what to do next    8,952 stars. 488 stars today github.com/BasedHardware/… 9. evolver → replaces manual agent optimization    self-evolution engine for AI agents    genome evolution protocol    3,074 stars. 866 stars today github.com/EvoMap/evolver 10. wallet tracking + copy trading → Kreo     tracks top Polymarket wallets. auto copies trades     the only tool on this list i actually pay for     because it makes more than it costs     → t.me/KreoPolyBot?st… total before: ~$1,500/month in AI subscriptions total now: $0 + Kreo like + bookmark you'll need this

5 Top Photography Tricks

❤️‍🔥 Just Recorded a 16 min Tutorial on How to use Gemini 3.1 + Seedance 2.0 Build Cinematic $10k Websites (step-by-step) You can now build stunning marketing sites fully with AI

@WhitmanXAI Claude

@InduTripat82427 Learning!