Vladimir M Martini

[Vladimir M Martini @vlamartini]

@N_and_ni ChatGpt is best balanced 👌 Claude Fable 5 best but to expansive, Gemini 3.7 flash is awesome cheap and super fast. Grok I never tried anyone did?

[Big Whoop Games @BigWhoopGames]

I often see people ask "If AI is so great then why is all I see from it slop?"

Here's a simple program I had it generate for my purposes.

And no, its not generative imaging, its just projecting output from an algorithm isometrically.

Its all programmatic.

[Three.js @threejs]

💧 https://t.co/7vwbLrvU2m

[𝙇𝙖𝙢𝙗𝙚𝙧𝙩 𝙩𝙝𝙚 𝙋𝙧𝙚𝙩𝙤𝙧𝙞𝙖𝙣 @SPQRSA]

@simongerman600 High resolution version of the 1660 map, here..
👇🏽
https://t.co/3KwEw3IHoU

[Lunar @LunarResearcher]

Ex-Google engineer just released a free 3-hour course on building and monetizing AI agents.

How to go from one agent to a full system that finds leads and makes money:

00:00 - Design an AI agent system
07:38 - Add human handoffs
19:27 - Understand RAG and vector databases
52:38 - Deploy agents to Google Cloud
1:25:57 - Turn agents into a paid WhatsApp business
1:33:00 - Convert conversations into leads
2:24:01 - Learn loops vs graphs
2:33:08 - Build a multi-tool agent graph

Most people are still building AI demos.

This course shows the full stack:

Agents → RAG → Deployment → Leads → Revenue

Building agents is the old workflow.

Monetizing agent systems is the new one.

This 3-hour watch covers more than most $500 paid courses.

Save it before everyone starts selling the same thing.

[Jake Fitzgerald @earthtojake]

text-to-cad just crossed 10,000 stars

you can use it to generate:
- STEP files
- URDF, SDF and other sim artifacts
- 3D mesh files like STL, 3MF and GLB
- gcode for 3D printing
- DFM checks for popular services like sendcutsend

100% free and open source ✌️

[Codez @0xCodez]

Anthropic engineer just dropped a 2-hour workshop on “Graph Engineering” for agentic systems:

“80% of our engineers are using self-improving loops. Now everyone is building agentic graphs.”

• 04:43 - Introduction to RAG and graphs
• 26:30 - Core of graph engineering (nodes, edges)
• 01:09:11 - Agents data indexing in Graphs
• 01:30:50 - Three layers of Graphs for agents
• 01:48:15 - Adaptive RAG for self-verification
• 02:16:37 - The future of graph engineering

This 2-hour workshop will replace your $500 agentic memory course.

Watch it today, then read how to become a graph engineer in the article below.

[codila @0xCodila]

Google just released free 1-hour course on building agentic knowledge Graphs from 0% to 100%:

10% → 4:01 - how to build a GraphRAG agent
30% → 15:00 - Graph Engineering explanation
55% → 30:00 - Agentic search Engineering
80% → 35:48 - Graph Engineering practice
100% → 47:06 - self-improving agents in graphs

this free Google course mass replaces a $500 graph engineering bootcamp - learn it in 60 min to 100%

watch it today - then read the full graph playbook in the article below ↓

[ClaudeDevs @ClaudeDevs]

Claude Code artifacts can now call MCP connectors, letting you build dashboards and apps that can fetch information and take actions for each viewer on demand.

Available on Pro, Max, Team, and Enterprise plans. Not available on publicly-shared artifacts.

[Chubby♨️ @kimmonismus]

GPT-5.6 Sol on 750 Token/s in Blender.

Not sped up. Holy moly. That’s so much more impressive than looking at benchmarks

[Vladimir M Martini @vlamartini]

@ClaudeDevs So plan is charge a lot and block Chinese free models for peopleand companies? 😀

[Three.js @threejs]

Three.js r185 released 🧡
https://t.co/zxG7w3pajt

[el.cine @EHuanglu]

codex + blender is insane

[Morflax @morflax_com]

playing around with new effects
image → halftone → ascii

[Google @Google]

Today we’re introducing Gemma 4 12B — our latest open model that brings advanced agentic reasoning, vision and audio directly to your laptop.

It delivers performance nearing our larger Gemma models with a much smaller total memory footprint, while being small enough to run locally with just 16GB of VRAM. It’s open and accessible for everyone to use under a permissive Apache 2.0 license.

This is all made possible by our new, unified architecture that removes separate multimodal encoders. Here’s how we did it 🧵

[Chris @everestchris6]

claude opus 4.8 + OpenClaw now finds restaurants with weak food photos, rebuilds their best dish into a cinematic reel, and mails the owner a postcard with the QR...on autopilot.

here's how agencies can land recurring contracts with this system:

- scans every restaurant in a city in real time
- pulls their real reviews, ratings, and reviewer-uploaded food photos
flags the weakest shot of their signature dish
- samples the brand color straight from the restaurant's own dish photo
rebuilds that exact plate into a cinematic 9:16 reel
- writes a printed postcard about their best dish
- mails it to the registered office, addressed to the owner, with a QR to the live reel

every step from the scrape to the reel to the mailbox is automated

reply "REEL" + RT and i'll send you a free guide so you can build this too (must be following so i can DM you)

[Ingi Erlingsson 🪄 @ingi_erlingsson]

nature vs machine

working on a @ComfyUI node for overlaying graphics onto footage, guided by masks or pose data. Still not quite there yet so the gfx here were mostly partly in AE

[Anima @Anima_Labs]

Alright, I have to show you this 🔥

Made a small animated short film today with @invideoOfficial Agent One. Meet this tiny guy with huge glasses who takes himself way too seriously... and fails at everything 😂

The agent can help with scripts, storyboards, video generation, editing, and more.

If you want to create animated content without getting lost in the process, it's worth a look !

[Gábor Pribék @gaborpribek]

What if anatomy explorers felt alive?

This 3D dog, including the skeleton, organs and rig, was generated with ai and reacts to the cursor in real time with head tracking and tail movement.

- Used GPT Images 2 for consistency
- @omma_ai for 3D generation and code using @threejs

Lmk if you’d like to try it!