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https://replicate.com/blog/flux-kontext
https://replicate.com/black-forest-labs/flux-kontext-pro
There are three models, two are available now, and a third open-weight version is coming soon:
We’re so excited with what Kontext can do, we’ve created a collection of models on Replicate to give you ideas:
https://github.com/Conor-Collins/ComfyUI-CoCoTools_IO
https://github.com/RupertAvery/DiffusionToolkit
It aims to help you organize, search and sort your ever-growing collection.
https://github.com/RupertAvery/DiffusionToolkit/blob/master/Diffusion.Toolkit/Tips.md
DB Browser for SQLite (DB4S) is a high quality, visual, open source tool designed for people who want to create, search, and edit SQLite or SQLCipher database files. DB4S gives a familiar spreadsheet-like interface on the database in addition to providing a full SQL query facility. It works with Windows, macOS, and most versions of Linux and Unix. Documentation for the program is on the wiki.
If you’re serious about AI Agents, this is the guide you’ve been waiting for. It’s packed with everything you need to build powerful AI agents. It follows a very hands-on approach that cuts down your time and avoids the common mistakes most developers make.
Andreas Horn on AI Agents vs Agentic AI
1. 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀: 𝗧𝗼𝗼𝗹𝘀 𝘄𝗶𝘁𝗵 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝘆, 𝗪𝗶𝘁𝗵𝗶𝗻 𝗟𝗶𝗺𝗶𝘁𝘀
➜ AI agents are modular, goal-directed systems that operate within clearly defined boundaries. They’re built to:
* Use tools (APIs, browsers, databases)
* Execute specific, task-oriented workflows
* React to prompts or real-time inputs
* Plan short sequences and return actionable outputs
𝘛𝘩𝘦𝘺’𝘳𝘦 𝘦𝘹𝘤𝘦𝘭𝘭𝘦𝘯𝘵 𝘧𝘰𝘳 𝘵𝘢𝘳𝘨𝘦𝘵𝘦𝘥 𝘢𝘶𝘵𝘰𝘮𝘢𝘵𝘪𝘰𝘯, 𝘭𝘪𝘬𝘦: 𝘊𝘶𝘴𝘵𝘰𝘮𝘦𝘳 𝘴𝘶𝘱𝘱𝘰𝘳𝘵 𝘣𝘰𝘵𝘴, 𝘐𝘯𝘵𝘦𝘳𝘯𝘢𝘭 𝘬𝘯𝘰𝘸𝘭𝘦𝘥𝘨𝘦 𝘴𝘦𝘢𝘳𝘤𝘩, 𝘌𝘮𝘢𝘪𝘭 𝘵𝘳𝘪𝘢𝘨𝘦, 𝘔𝘦𝘦𝘵𝘪𝘯𝘨 𝘴𝘤𝘩𝘦𝘥𝘶𝘭𝘪𝘯𝘨, 𝘊𝘰𝘥𝘦 𝘴𝘶𝘨𝘨𝘦𝘴𝘵𝘪𝘰𝘯𝘴
But even the most advanced are limited by scope. They don’t initiate. They don’t collaborate. They execute what we ask!
2. 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜: 𝗔 𝗦𝘆𝘀𝘁𝗲𝗺 𝗼𝗳 𝗦𝘆𝘀𝘁𝗲𝗺𝘀
➜ Agentic AI is an architectural leap. It’s not just one smarter agent — it’s multiple specialized agents working together toward shared goals. These systems exhibit:
* Multi-agent collaboration
* Goal decomposition and role assignment
* Inter-agent communication via memory or messaging
* Persistent context across time and tasks
* Recursive planning and error recovery
* Distributed orchestration and adaptive feedback
Agentic AI systems don’t just follow instructions. They coordinate. They adapt. They manage complexity.
𝘌𝘹𝘢𝘮𝘱𝘭𝘦𝘴 𝘪𝘯𝘤𝘭𝘶𝘥𝘦: 𝘳𝘦𝘴𝘦𝘢𝘳𝘤𝘩 𝘵𝘦𝘢𝘮𝘴 𝘱𝘰𝘸𝘦𝘳𝘦𝘥 𝘣𝘺 𝘢𝘨𝘦𝘯𝘵𝘴, 𝘴𝘮𝘢𝘳𝘵 𝘩𝘰𝘮𝘦 𝘦𝘤𝘰𝘴𝘺𝘴𝘵𝘦𝘮𝘴 𝘰𝘱𝘵𝘪𝘮𝘪𝘻𝘪𝘯𝘨 𝘦𝘯𝘦𝘳𝘨𝘺/𝘴𝘦𝘤𝘶𝘳𝘪𝘵𝘺, 𝘴𝘸𝘢𝘳𝘮𝘴 𝘰𝘧 𝘳𝘰𝘣𝘰𝘵𝘴 𝘪𝘯 𝘭𝘰𝘨𝘪𝘴𝘵𝘪𝘤𝘴 𝘰𝘳 𝘢𝘨𝘳𝘪𝘤𝘶𝘭𝘵𝘶𝘳𝘦 𝘮𝘢𝘯𝘢𝘨𝘪𝘯𝘨 𝘳𝘦𝘢𝘭-𝘵𝘪𝘮𝘦 𝘶𝘯𝘤𝘦𝘳𝘵𝘢𝘪𝘯𝘵𝘺
𝗧𝗵𝗲 𝗖𝗼𝗿𝗲 𝗗𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝗰𝗲?
AI Agents = autonomous tools for single-task execution
Agentic AI = orchestrated ecosystems for workflow-level intelligence
Next, here 𝗮𝗿𝗲 𝘁𝗵𝗲 𝘁𝗼𝗽 10 𝗞𝗲𝘆 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀 𝗳𝗿𝗼𝗺 𝗢𝗽𝗲𝗻𝗔𝗜’𝘀 𝗚𝘂𝗶𝗱𝗲:
https://www.hollywoodreporter.com/business/business-news/pixomondo-led-volume-stage-1236209813/
The new Vancouver virtual stage will measure 50 feet in diameter, 23 feet tall, and will have a 14 foot deep semi-circle to surround actors and physical sets with a digital environment. There’s also two movable wild walls 20 feet wide and 16.5 feet tall and mounted on a ground-hover system to allow quick repositioning, especially for capturing car driving scenes.
The Windows “Robust File Copy” utility for efficiently copying files and directories, with built-in retry, logging, and mirroring capabilities.
https://learn.microsoft.com/en-us/windows-server/administration/windows-commands/robocopy
https://www.nukepedia.com/python/ui/w_hotbox
W_hotbox is basically a fully customisable ‘favourites menu’ that pops up for as long as you press the shortcut and disappears as soon as you release. The buttons that make up the menu represent python scripts and change depending on you selection. The ‘Hotbox Manager’ offers you an user friendly interface which allows you to add new buttons on the fly. Those buttons are directly accessible via buttons that appear in the menu under your cursor.
A Maya script that introduces a node-based graph system for procedural modeling, like Houdini
https://github.com/AnthonySTZ/ProceduralMaya
https://www.freecodecamp.org/news/train-your-own-llm
Ever wondered how large language models like ChatGPT are actually built? Behind these impressive AI tools lies a complex but fascinating process of data preparation, model training, and fine-tuning. While it might seem like something only experts with massive resources can do, it’s actually possible to learn how to build your own language model from scratch. And with the right guidance, you can go from loading raw text data to chatting with your very own AI assistant.
https://www.comfydeploy.com/docs/v2/introduction
1 – Import your workflow
2 – Build a machine configuration to run your workflows on
3 – Download models into your private storage, to be used in your workflows and team.
4 – Run ComfyUI in the cloud to modify and test your workflows on cloud GPUs
5 – Expose workflow inputs with our custom nodes, for API and playground use
6 – Deploy APIs
7 – Let your team use your workflows in playground without using ComfyUI
While in ZBrush, call up your image editing package and use it to modify the active ZBrush document or tool, then go straight back into ZBrush.
ZAppLink can work on different saved points of view for your model. What you paint in your image editor is then projected to the model’s PolyPaint or texture for more creative freedom.
With ZAppLink you can combine ZBrush’s powerful capabilities with all the painting power of the PSD-capable 2D editor of your choice, making it easy to create stunning textures.
https://mamba.readthedocs.io/en/latest/user_guide/micromamba.html
https://mamba.readthedocs.io/en/latest/installation/micromamba-installation.html
https://micro.mamba.pm/api/micromamba/win-64/latest
https://prefix.dev/docs/mamba/overview
With mamba, it’s easy to set up software environments
. A software environment is simply a set of different libraries, applications and their dependencies. The power of environments is that they can co-exist: you can easily have an environment called py27 for Python 2.7 and one called py310 for Python 3.10, so that multiple of your projects with different requirements have their dedicated environments. This is similar to “containers” and images. However, mamba makes it easy to add, update or remove software from the environments.
Download the latest executable from https://micro.mamba.pm/api/micromamba/win-64/latest
To create a python environment under Windows:
micromamba create -n myenv python=3.10
This will create a myenv allocation under:
C:\Users\<USERNAME>\AppData\Roaming\mamba\envs\myenv
Once the environment is created, activate it with:
micromamba activate myenv
Or to execute a single command in this environment, use:
micromamba run -n myenv mycommand
NOTE if you get an error such as:
critical libmamba Shell not initialized
'micromamba' is running as a subprocess and can't modify the parent shell.
Thus you must initialize your shell before using activate and deactivate.
The error means your shell hasn’t been hooked for Micromamba activation, so micromamba activate
can’t modify the parent cmd.exe
process.
To solve this:
1- set an environment variable for mamba to point to where the install is, ie:
setx MAMBA_ROOT_PREFIX "H:\AppData\Roaming\mamba"
2- start a new shell and activate that env variable:
micromamba shell init --shell cmd.exe
That should allow to run the venv as needed.
To add a Windows shortcut to launching the micromamba environment:
C:\Windows\System32\cmd.exe /K micromamba activate myenv
The taskbar files under windows are located here:
C:\Users\<USER_NAME>\AppData\Roaming\Microsoft\Internet Explorer\Quick Launch\User Pinned\TaskBar
or
H:\AppData\Roaming\Microsoft\Internet Explorer\Quick Launch\User Pinned\TaskBar
https://huggingface.co/collections/nvidia/physical-ai-67c643edbb024053dcbcd6d8
🔹 15TB of high-quality, standardized synthetic data
🔹 320,000+ trajectories for robotics training
🔹 1,000+ OpenUSD assets, including a SimReady collection
https://learn.microsoft.com/en-us/windows/wsl/install
The Windows Subsystem for Linux (WSL) is a feature of the Windows operating system that enables you to run a Linux file system, along with Linux command-line tools and GUI apps, directly on Windows, alongside your traditional Windows desktop and apps.
https://ubuntu.com/desktop/wsl
https://www.independent.co.uk/tech/ai-playstation-characters-sony-ps5-chatgpt-b2712813.html
A demo video, first reported by The Verge, showed an AI version of the character Aloy from the Playstation game Horizon Forbidden West conversing through voice prompts during gameplay on the PS5 console.
The character’s facial expressions are also powered by Sony’s advanced AI software Mockingbird, while the speech artificially replicates the voice of the actor Ashly Burch.
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