Do It by Code
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We uhhhhh... do things by coding them.
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professor: "it's physically impossible"

chatGPT: "it violates fundamental laws"

r/physics: "literally cannot be done"

guy with a 3D printer and willpower:

"watch me balance this inverted pendulum with magnets while your theorems cry"

moral of the story: sometimes you just need to ignore smart people and fail 40 times

Source
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someone send help for Epic Games xD

their servers are being so much flooded by people that they can no longer handle the load
Animation engine for explanatory math videos

Manim is an engine for precise programmatic animations, designed for creating explanatory math videos.

Note, there are two versions of manim. This repository began as a personal project by the author of 3Blue1Brown for the purpose of animating those videos, with video-specific code available here. In 2020 a group of developers forked it into what is now the community edition, with a goal of being more stable, better tested, quicker to respond to community contributions, and all around friendlier to get started with. See this page for more details.


Normal Edition: https://github.com/3b1b/manim
Community Edition: https://github.com/ManimCommunity/manim/
https://en.wikipedia.org/wiki/Utah_teapot

Using a teapot model is considered the 3D equivalent of a "Hello, World!" program, a way to create an easy 3D scene with a somewhat complex model acting as the basic geometry for a scene with a light setup.

Some programming libraries, such as the OpenGL Utility Toolkit, even have functions dedicated to drawing teapots.

The teapot model was created in 1975 by early computer graphics researcher Martin Newell, a member of the pioneering graphics program at the University of Utah. It was one of the first to be modeled using Bézier curves rather than precisely measured.
A basic (and user-friendly) guide on how to run whisper-large-v3 on Google Colab:

https://github.com/ALiwoto/whisper-large-v3/blob/master/colab.md

it also include screenshots for better understanding
similarly, you can run any other Jupiter Notebook you want in there.
take note that the session cannot stay idle for too long, and it has a fair-usage quota (if you exceed that, Google won't give you GPU for the next ~24 hours)
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The phrase "timezones, people, timezones" (sometimes written as "time zones, people, time zones") became a popular expression in tech and remote work communities, particularly on social media platforms like Twitter and in professional settings.

The phrase is often used as an exasperated reminder or gentle scolding when people fail to consider time zone differences when scheduling meetings or making plans across different geographical locations. It gained particular prominence during the rise of remote work and global collaboration, especially during and after the COVID-19 pandemic.

The repetition of "timezones" in the phrase emphasizes its importance and adds a somewhat humorous, meme-like quality to the expression. It's similar in structure to other popular phrases like "location, location, location" in real estate.

The phrase typically comes up in situations like:
- Someone scheduling a meeting at 9 AM their time without specifying the time zone
- People assuming everyone is in their local time zone
- Meeting invites without clear time zone indicators
- Global team communications without time zone context

It serves as a shorthand way of saying "Please remember that not everyone lives in your time zone, and we need to be mindful of this when coordinating across global teams."
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Snow effect on telegram
Happy 2025 🧑‍🎄
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AI that generates 3blue1brown-style explainer videos
Article, Comments
Feature Philosophy
https://tsf.telegram.org/manuals/feature_philosophy


Determining priority
The formula to determine which feature gets implemented first is pretty straightforward:
(relevance for the project + UX improvement) / (added complexity x speed impact x development time)
Digital Twin Brain
https://github.com/DTB-consortium/Digital_twin_brain-open

Here, we present the Digital Brain (DB), a platform for simulating spiking neuronal networks at the large neuron scale of the human brain based on personalized magneticresonance-imaging data and biological constraints. The DB aims to reproduce both the resting state and certain aspects of the action of the human brain. An architecture with up to 86 billion neurons and 14,012 GPUs, including a two-level routing scheme between GPUs to accelerate spike transmission up to 47.8 trillion neuronal synapses, was implemented as part of the simulations. We show that the DB can reproduce blood-oxygen-level-dependent signals of the resting-state of the human brain with a high correlation coefficient, as well as interact with its perceptual input, as demonstrated in a visual task. These results indicate the feasibility of implementing a digital representation of the human brain, which can open the door to a broad range of potential applications.
https://neal.fun/

this guy has some interesting projects