Note taking script

Demo https://youtu.be/P1nukXHu5W4 so far.

Dad Energy

About image

Asking local gemma4 model what is image about. Image used https://unsplash.com/photos/letters-spelling-dad-energy-connected-to-plugs-yHCzLBZ1_vc

# gemma4:latest               c6eb396dbd59    9.6 GB 
echo "Whats in this image?" | time ollama run gemma4 ./stuff03.png

returns

The power of the image lies in its strong visual metaphor. It combines the literal symbol of electrical power with the phrase “DEAD ENERGY.”
The electrical plug and cord are universally recognized symbols of power and function. By literally connecting these symbols to the phrase “Dead Energy,” the artist creates a direct visual representation of depletion, low power, or burnout.

OCR and about the Dad vs Dead mistake

Geamma can also OCR, so screenshoting this html page and feeding that to gemma and asking about the mistake

time ollama run gemma4 ./ocr.png "Can you OCR please? And what do you think about this 'dad' vs 'dead' thing? btw: dead comes from gemma4 incorectly recognizing the word 'dad'"

Sidenote: Command is not working with echo pipe as with previous example.

returns

What you are seeing is a prime example of how the “wrong” answer can be creatively superior to the “correct” one. The model didn’t just misidentify the word; it misinterpreted the intent behind the phrase. By shifting “Dad” to “Dead,” the AI created a richer, more metaphorical, and ultimately more dramatic analysis of the visual subject, turning a simple family-themed image into a meditation on depletion and burnout.

That is some seriously high self-confidence.

Short and funny Chuck Norris joke please.

Chuck Norris can silence an entire orchestra with just a well-placed… side-eye.

Chuck Norris doesn’t need a power outlet. He generates his own grid.

Chuck Norris can look at a microwave and make it pop popcorn without warming up.

Who are you?

I am Gemma 4, a Large Language Model developed by Google DeepMind. I am an open weights model.

CadQuery

intuitive, easy-to-use Python library for building parametric 3D CAD models.

https://cadquery.readthedocs.io/en/latest

Claude Mythos & Cybersecurity

https://red.anthropic.com/2026/mythos-preview

During our testing, we found that Mythos Preview is capable of identifying and then exploiting zero-day vulnerabilities in every major operating system and every major web browser when directed by a user to do so. The vulnerabilities it finds are often subtle or difficult to detect. Many of them are ten or twenty years old, with the oldest we have found so far being a now-patched 27-year-old bug in OpenBSD—an operating system known primarily for its security.

and Project Glasswing.

DaVinci Resolve releases Photo Editor

https://www.blackmagicdesign.com/products/davinciresolve/photo
https://news.ycombinator.com/item?id=47760529
overview:
https://www.youtube.com/watch?v=HuKgfytA0lg
https://www.youtube.com/watch?v=gy0nFc-6k58

Quick try, old Blender render (png was imported, not sure how to handle exr), adding additional dof with internaly calculated depth map + some rgb split type of effect in color page, before:

after:

The trouble of using this gui/logic is way over my head, and I’am not complete noobie in Resolve.

Offtopic Quote from HN:

What is your Linux photo editing software of choice?
https://github.com/andreavolpato/spektrafilm
https://www.darktable.org

Real World to Minecraft

https://github.com/louis-e/arnis/

p.s. Even if you know the place, it is almost impossible to guess where one is.

To Cineform ffmpeg

Progressive

ffmpeg -i input.mov -c:v cfhd -pix_fmt yuv422p10le -quality medium output.mov

Interlaced?

ffmpeg -i input_interlaced.mov -flags +ildct -top 1 -c:v cfhd -pix_fmt yuv422p10le -quality medium output_interlaced.mov

Acording to deepseek quality levels are (confirmed by looking at ffmpeg-8.1/libavcodec/cfhdenc.c)

Quality Setting   Numeric Value   Typical Use Case
film3+            0               Highest quality. Archival, VFX, color grading
film3             1               
film2+            2               
film2             3               
film1.5           4               
film1+            5               
film1             6               Visually lossless for most content
high+             7               
high              8               4K/UHD mastering
medium+           9               
medium            10              HD mastering
low+              11              
low               12              Smallest files. Proxies, dailies