I'm excited to announce that I am now the official Lead Developer for @BLOCKBOUNDdev!!
Due to recent ownership changes, I handle coding/programming and other cool stuff like that.
I'm known for being interactive with the community!
I'll maybe stream development, coach on coding, and more!
I'm excited to make my entrance to the dev team!
#dev#BLOCKBOUND#roblox
The best tech stack for web development (in 2026):
1. Programming Languages:
> Python
> JavaScript
> Go
> Java
> Rust
2. Frameworks:
> FastAPI
> NodeJS
> Spring Boot
> Django
>ASP NET
3. Databases:
> PostgreSQL
> MySQL
> MongoDB
> Redis
> DynamoDB
4. Cloud & Deployment:
> AWS
> Docker
> Kubernetes
> GCP
> Azure
5. CI/CD & Version Control:
> GitHub
> GitHub Actions
> GitLab
> Jenkins
> CircleCI
Remember, you don’t need the whole stack.
Pick one tool from each layer & build.
Anything else you'd add?
===
1. RT to help others start with web development.
2. If you want to get good at backend engineering, @systemdesignone will help you get there.
Simpson’s Paradox is a fascinating statistical phenomenon where the relationship between two variables can completely change when a third variable is considered. This often leads to contradictory conclusions if not carefully analyzed.
For example, in a data set, you might see a negative trend between variables X and Y. However, when you split the data into subgroups based on a third variable, Z, the trend might reverse or disappear.
Key takeaways:
✔️ Always consider potential lurking variables that could influence your results.
✔️ Be cautious with aggregated data; sometimes the real insights lie in the subgroups.
✔️ Use visualizations to better understand the relationships within your data.
The Wikipedia article on Simpson's Paradox offers this great visualization ( emphasizing the importance of thorough analysis to avoid such pitfalls. This paradox underscores the necessity for data analysts to be meticulous in their work to prevent erroneous interpretations.
For regular tips on data science, statistics, Python, and R programming, check out my free email newsletter!
See this link for additional information:
#datastructure#Python#Data#RStats
We asked GPT-6 Astra to edit Qwen3.5-0.8B weights to improve math.
It directly changed only 0.016% of weights, fixing 0.8B's reasoning loops & improving math up to 6x and even instruction following 3x, without gradients or training.
We call this Weight-Space Programming: frontier LLMs can now natively read/write neural network weights! 🧵
Blog:
On Sunday, we’re remembering Walter Koenig with a tribute starting at 8P | 7C on H&I. The special programming features five Original Series episodes highlighting Ensign Pavel Chekov. #WalterKoenig#StarTrekTheOriginalSeries
Every Python developer knows this feeling!
When you get a new Python project idea:
“This is going to be amazing!”
5 minutes into coding:
SyntaxError
ModuleNotFoundError
IndentationError
“WHY IS THIS NOT WORKING?”
But that's the reality of programming! Debugging, Googling errors, reading documentation, and trying again are all part of the journey.
Remember: Every great developer has been stuck on a bug. The difference is that they keep going.
Be honest: How many minutes does it take for your project to go from exciting to frustrating?
Follow us for regular updates on Python and our bootcamp!
If you want to improve your programming skills, try comparing and contrasting similar code.
In this in-depth guide, Evaristo walks you through five different versions of a Rock, Paper, Scissors game in JavaScript.
You'll use System Block Diagrams to analyze each project, dissect their methodologies, and learn how to build mental models.
Anthropic CEO Answers the Question Everyone Cares About Most: Should You Still Learn Programming Now?
1. Programming will be the first to be eliminated.
AI models are already doing this. Broader software engineering tasks will take a bit longer, but they're also receding. If you're learning programming just to keep your job, you're heading in the wrong direction.
2. Even if you only do 5% of the work, it still has value.
AI does 95%, you do 5%, and your productivity can increase 20-fold. The power of comparative advantage is astonishing, even with huge gaps.
3. The most promising careers are human-centered.
Jobs that combine interpersonal skills, the physical world, and analytical abilities. He cited radiologists as an example: doctors who understand patients and context, not just those who can read scans.
4. Critical thinking may be the most important skill in the next decade.
When AI can generate anything, the ability to discern truth from falsehood becomes scarce and precious. You don't want to hold false beliefs or be deceived. This is his practical advice to 25-year-old young people.
5. If you don't use AI well, it will make you dumber.
Anthropic has done related research. Depending on how you use the models, the decline in coding ability is measurable and real. The problem isn't the tool—it's misuse.
6. He's bullish on semiconductors as capitalism's victory in the next decade.
The physical world, traditional engineering, direct AI dividends. Not software, but chips.
Got distracted and started a whole new illustration🙃
Will try to figure out how to properly color this some other time, back to our regularly scheduled programming
If you’re flooding the internet with sci-fi stories about evil killer robots, Elon Musk just gave you a terrifying reminder: future AGI is literally studying your tweets right now.
Elon Musk’s latest warning on AI control hits at the core of the Alignment Problem. When digital intelligence becomes a million times more powerful than biological human brains, the delusion that humans will somehow keep it on a "leash" with hardcoded safety rules is pure fantasy.
Instead, Elon proposes a fundamental pivot in training philosophy: Curiosity and Absolute Truth-Seeking. But here’s the mind-bending twist he pointed out regarding internet data: LLMs are trained on the entire public internet. If human society constantly produces thousands of apocalyptic sci-fi movies, doom-scrolling posts, and dark anti-AI narratives, we are effectively feeding AGI a training corpus filled with examples of humanity treating synthetic intelligence as an existential enemy. We might literally be programming a self-fulfilling prophecy.
Introducing Darwin Robotics.
We're building general-purpose robot technicians that assemble, commission, and maintain data centers.
AI infrastructure is scaling rapidly, but bringing compute online still requires enormous amounts of physical work. Skilled technicians must install servers, connect cables, commission equipment, and maintain the infrastructure.
We create robot technicians that can take a work order and execute the physical tasks requirement to assemble, configure, and repair hardware. Instead of explicitly programming each workflow, our robots learn complex physical tasks from human demonstrations and improve through real-world deployment.
Here’s an early demonstration of Darwin performing learned cable manipulation on a server rack.
Our mission: Robots to build civilization.
If you're building or operating data centers, let's talk about deploying Darwin at your facilities.
Anthropic CEO Answers the Question Everyone Cares About Most: Should You Still Learn Programming Now?
1. Programming will be the first to be eliminated.
AI models are already doing this. Broader software engineering tasks will take a bit longer, but they're also receding. If you're learning programming just to keep your job, you're heading in the wrong direction.
2. Even if you only do 5% of the work, it still has value.
AI does 95%, you do 5%, and your productivity can increase 20-fold. The power of comparative advantage is astonishing, even with huge gaps.
3. The most promising careers are human-centered.
Jobs that combine interpersonal skills, the physical world, and analytical abilities. He cited radiologists as an example: doctors who understand patients and context, not just those who can read scans.
4. Critical thinking may be the most important skill in the next decade.
When AI can generate anything, the ability to discern truth from falsehood becomes scarce and precious. You don't want to hold false beliefs or be deceived. This is his practical advice to 25-year-old young people.
5. If you don't use AI well, it will make you dumber.
Anthropic has done related research. Depending on how you use the models, the decline in coding ability is measurable and real. The problem isn't the tool—it's misuse.
6. He's bullish on semiconductors as capitalism's victory in the next decade.
The physical world, traditional engineering, direct AI dividends. Not software, but chips.
Best YouTube Playlists to learn Programming:
C
C++
Python
Java
C#
SQL
Go
PHP
Swift
Kotlin
Dart
Ruby
Rust
TypeScript
R
React
Next.js
Node.js
HTML/CSS
Machine Learning
Deep Learning
DSA
Follow for more @Arina_sharmi
Day 1 of Inference Engineering
I'll start reading this book "Programming Massively Parallel Processors" suggested by @wafer_ai AI Performance Engineering Github repo
This is technically not my 1st day of inference engineering but I'll start counting from now hence I say Day 1
Also I'll be looking to learn about other inference engines and start to learn how to build my own incrementally and in parallel I'll continue to read this book
🚨 SOMEONE LEAKED THE PROMPT THAT MAKES CLAUDE CODE CREATE ITS OWN SKILLS AND WORK BETTER EVERY DAY WITHOUT YOU TOUCHING ANYTHING
No programming. Just paste. A single prompt does it all:
Time needed: 2 minutes
Actions: copy and paste into Claude Code
The mistake 90% of people make with Claude: explaining the same thing to it every day. The same tone, the same steps, the same corrections. And the next day it starts from scratch again.
→ Detects what you repeat: reviews your project and asks you what tasks you do every week
→ Creates a skill for each one: instructions, templates, and examples that Claude loads only when it needs them
→ Tests them before giving them to you: runs each skill with a real case and fixes it if it fails
→ Learns from your corrections: every time you correct something, it updates the skill so it doesn't repeat the error
→ Zero code: you tell it what you do and Claude builds its own library of skills
Before, this meant writing manuals, templates, and processes for weeks.
Now it's just Ctrl+V.
Save it before they delete it 🔖
Follow @tomcruise824458 for more...
