papaGon

[CyrilXBT @cyrilXBT]

https://t.co/ffyp3UpJMR

[Pilgrim @ArtOfPilgrim]

no more having to open photoshop to create alpha textures from photos https://t.co/52Nz9M4c3g

same process i use in photoshop: Black and White adjustment + levels but now in the browser

[Pilgrim @ArtOfPilgrim]

I also got sick of opening photoshop to create dials. so here is https://t.co/HQ1TJEWAb5 where you can create your own. Save presets. Export as png/svg.

have fun

[Lucky Iyinbor @Luckyballa]

It’s great to see the gap between reconstruction and generation narrowing so quickly this year

https://t.co/uEh5mIPqnD

[SciTech Era @SciTechera]

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.

[KIRI Engine - 3D Scanner App @KIRI_Engine_App]

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.

[Filipe @filicroval]

you can test it here: https://t.co/CwYJ8fECdz

[Filipe @filicroval]

🤖 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.

[papaGon @aperubi]

I just backed CardputerZero, Pocket Raspberry Pi Computer for Makers on @Kickstarter https://t.co/e1UduXkruB

[papaGon @aperubi]

I just backed CardputerZero, Pocket Raspberry Pi Computer for Makers on @Kickstarter https://t.co/e1UduXkruB

[Thariq @trq212]

https://t.co/MXt5XS4xBX

[Seerat Fatima @SeeratFatima112]

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
https://t.co/781pPMJGUp

2. AI Fluency: Frameworks & Foundations
https://t.co/jNVVYt3WMh

3. Introduction to Agent Skills
https://t.co/9GaVDFEy7J

4. Building with the Claude API
https://t.co/2mFMKkHnRE

5. Claude Code in Action
https://t.co/QvgXX5sjyq

6. Introduction to Model Context Protocol
https://t.co/pMpdu612Am

7. MCP: Advanced Topics
https://t.co/3OTcD1ybn0

8. AI Fluency for Students
https://t.co/K6wgmmr8T6

9. AI Fluency for Educators
https://t.co/iv5Dl8IOUr

10. Teaching AI Fluency
https://t.co/XY8us9KWin

11. AI Fluency for Nonprofits
https://t.co/xk7CnuzLOH

12. Claude with Amazon Bedrock
https://t.co/MGUsSv1DWN

13. Claude with Google Vertex AI
https://t.co/UVseNLTDQY

—

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.

[Vaidehi @Ai_Vaidehi]

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 👍🏻

[Khairallah AL-Awady @eng_khairallah1]

https://t.co/EpNotaOlKa

[Charly Wargnier @DataChaz]

🚨 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 → https://t.co/eEvSOvHutG

2. RTK (Rust Token Killer)
- A blazing fast proxy that filters terminal output
- 60-90% reduction and completely dependency-free
Repo → https://t.co/lDfjbsbPD5

3. Code Review Graph
- Claude reads only what matters using a Tree-sitter graph
- An unbelievable 49x token reduction on huge monorepos
Repo → https://t.co/xGn6Pp88yX

4. Context Mode
- Sandboxes raw output into SQLite instead of your context
- A staggering 98% context reduction on logs & GitHub
Repo → https://t.co/Jut2bvBMUD

5. Claude Token Optimizer
- Brilliant setup prompts that optimize any project
- 90% token savings, taking docs from 11K to 1.3K
Repo → https://t.co/0uOFODbG7e

6. Token Optimizer
- Hunts down the invisible ghost tokens eating your context
- Fully restores and protects your context quality
Repo → https://t.co/LUOzjECXKm

7. Token Optimizer MCP
- Adds aggressive caching and compression to your MCP tools
- 95%+ token reduction through pure intelligence
Repo → https://t.co/b5Eqruo2PM

8. Claude Context
- Zilliz’s hybrid vector search MCP
- Makes your entire codebase the context for 40% less cost
Repo → https://t.co/hPG6pb0j3G

9. Claude Token Efficient
- Just drop one CLAUDE.md file into your repo
- Enforces strict terseness with zero code changes
Repo → https://t.co/fNrl6nwItF

10. Token Savior
- Navigates your code by symbols, not giant files
- 97% reduction on code navigation with persistent memory
Repo → https://t.co/lkILPhfwJh

----

[ 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 👀

[self.dll @seelffff]

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
https://t.co/xjnhzKjQAo

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
https://t.co/dZPWBSfRz0

3. voicebox → replaces ElevenLabs ($22/mo)
   open-source voice synthesis studio
   18,963 stars. 887 stars today
https://t.co/TEOE9CNU3l

4. open-agents → replaces paid agent platforms ($200/mo)
   open-source template for building cloud agents. by Vercel
   3,105 stars. 735 stars today
https://t.co/2jj3Tzami0

5. cognee → replaces paid knowledge bases ($50/mo)
   AI agent memory engine in 6 lines of code
   15,733 stars
https://t.co/FHetFdNKfw

6. magika → replaces paid file detection tools
   AI file content type detection. by Google
   14,603 stars
https://t.co/9Bse8nSiLu

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
https://t.co/3KnpT3mqAg

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
https://t.co/EBzpS20o0i

9. evolver → replaces manual agent optimization
   self-evolution engine for AI agents
   genome evolution protocol
   3,074 stars. 866 stars today
https://t.co/v1JhJT0r44

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
    → https://t.co/rVKQ1081rt

total before: ~$1,500/month in AI subscriptions
total now: $0 + Kreo

like + bookmark you'll need this

[Knowledge Bank @xKnowledgeBANK]

5 Top Photography Tricks

[Viktor Oddy @viktoroddy]

❤️‍🔥 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

[papaGon @aperubi]

@WhitmanXAI Claude

[papaGon @aperubi]

@InduTripat82427 Learning!