Vijaykrishna retweeted
‼️ BREAKING ‼️ PHP warns of another UNPATCHED REC vulnerability just 2 days after releasing emergency patches for critical PHP2Shell flaws.
New "CVE-2026-115560" affects only unusual session configurations. PHP has issued urgent mitigation guidance.
Full details → thehackernews.com/2026/10/ur…
Vijaykrishna retweeted
NVIDIA ACABA DE ELIMINAR EL MAYOR PUNTO DE FRICCIÓN EN VOICE AI
han liberado PersonaPlex-7B, un modelo de conversación dúplex completo que puede escuchar y hablar al mismo tiempo
→ no espera a que termines de hablar
→ usa una arquitectura de doble flujo para procesar y responder en tiempo real
→ código disponible en GitHub
y es 100% open source y gratis
os dejo el repo abajo
Amazing. Cant wait to test. Downloading it as i report!
Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine.
• Best-in-class fast local coding
• Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark
• Built from scratch in under 4 months
Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.
Here is Super Flash! When I was young, Macromedia Flash my favorite!
It was bought by Adobe, disappeared from browsers later.
The tool that once dominated the web now lives on the web!
Live super-flash.nvkudva.workers.…
Source github.com/nvkudva/super-fla…
#MacromediaFlash #Adobe #AI
Vijaykrishna retweeted
The Tesla Roadster can create ~2Gs of downforce using high-speed electric fans mounted underneath the car.
Unlike a traditional car that needs high speeds for meaningful downforce, the Roadster can create ~4700 kg at a standstill.
Thanks John for this vid!
next level!
This Fluid Glass component got a well deserved update.
When you click, it morphs into the next shape. Fluid.
reactbits.dev/components/flu…
Vega 0.8B in your browser — no API, no server, nothing leaves the tab.
Typed decision model by Nandakishor M (Convai): state + choice/score/yes-no questions in, calibrated probabilities out. I ported it to onnxruntime-web, text + image states. #jev #typesafe #open #decisionmodel
Vijaykrishna retweeted
vegaml just grew a whole toolbelt. All shipped this week, all Apache 2.0:
- CLI, HTTP server, MCP server, Docker image
- ONNX export and a torch-free MLX engine for Apple silicon
- pydantic models as question sheets
- a cascade: the 0.8B answers what it can settle, the 4B gets the rest, and what neither can settle is handed to you instead of guessed
- calibrate(): refit the probabilities on 30 of your own labels
- vegaml-eval: accuracy, calibration error and conformal coverage on your data, not mine
- LangChain + LangGraph: route a graph or gate an input at decision-model speed
pip install vegaml. Docs for every surface: github.com/NandhaKishorM/veg…
Vijaykrishna retweeted
Introducing Muse Wonder, our new family of frontier models with state of the art performance for personal and professional agentic work.
Vijaykrishna retweeted
Vega won cases in live benchmarks. You can replicate the results at
github.com/NandhaKishorM/veg…
Vijaykrishna retweeted
Turns out a lot of people wanted a Mac image editor with no subscription.
75,000 downloads in 3 weeks. Thank you!
robbietilton.com/compositor
I built a Photoshop-like image editor. It’s called Compositor.
robbietilton.com/compositor
I originally built it for myself to get off my Adobe subscription, but decided to release it for free and make it open source. It has all the essential tools I need for compositing, with none of the BS.
I know this workflow is kind of archaic in 2026, but I’m still using it until AI can actually get pixel-perfect on some of the details.
The entire app is 12MB. Photoshop is 6,455MB on my machine.
Vijaykrishna retweeted
Introducing San Theft Auto:
A racing game based in San Francisco
It’s multiplayer & open source!
I spent 950M tokens having GPT 6 meticulously map San Francisco in Blender 😅
Try it out:
santheftauto.com
Vijaykrishna retweeted
Omg... after using GLM 5.3 flash at 1000 TPS I do not think I can ever go back to anything else.
Vijaykrishna retweeted
Vega supports a 73k context limit with 0.8B and 4B model variants, along with image support
Blog: nandakishorm.com/writing/veg…
GitHub: github.com/NandhaKishorM/veg…
Vijaykrishna retweeted
First of the kind physics based architecture for typed decision model
Completely open-source with Apache 2.0 License
HF: huggingface.co/spaces/nandak…
GitHub: github.com/NandhaKishorM/veg…
Vijaykrishna retweeted
How a physics-based typed decision model works
Full blog nandakishorm.com/writing/veg…




















