Programmers: Always use descriptive variable names
Mathematicians: Single letter variable names always, ideally from obscure/dead alphabets
CODE
-
Programmers vs Mathematicians: Variable Naming Philosophy
By
–
-
AI as Learning Tool, Not Job Shortcut for Programming
By
–
Yeah, anyone who's telling people they can get a job low without actually learning to program is doing nobody any favors It's a learning accelerant tool, not a replacement for learning
-

LM-Guided Chain-of-Thought Knowledge Distillation Technique
By
–
4/ LM-Guided Chain-of-Thought – applies knowledge distillation to a small LM with rationales generated by the large LM; the rationale is then generated by the lightweight LM and the answer prediction is done by the frozen large LM.
-

CodeGemma: Open Code LLM Family Matching Performance Benchmarks
By
–
3/ CodeGemma – a family of open code LLMs based on Gemma; CodeGemma 7B models excel in mathematical reasoning and match the code capabilities of other open models.
-
AI Tools Boost Developer Performance Despite Beginner Learning Concerns
By
–
I'm seeing the opposite: high performing developers who I respect adding these tools to their workflow and gaining performance as a result What have you learned that makes you think they are bad for beginners?
-
AI Makes Programming Learning Curve Less Steep and Accessible
By
–
I've seen many people give up on learning to program entirely because that struggle is so miserable – I'm excited that we have a learning curve that's less of an impenetrable cliff now
-
Developer Culture: Last-Minute Task Completion Humor
By
–
Are you even a developer if you are not doing tasks one day before the deadline?
-

Discussion on the state of AI models and development tools
By
–
Loads of new model releases but not many actual features & products lately. Should I cover more tools for AI development in the meantime? If yes, which tools are you using? Anyway, I have a Business trip to do next week. Gonna have some time to plan it better.
-
PyTorch Performance Improvements with Nightly Build and Optimizations
By
–
THE REVENGE OF PYTORCH
just kidding 🙂 @cHHillee (from PyTorch team) was kindly able to help improve the PyTorch baseline, done by 1) upgrading to nightly, 2) using the "compound" F.sdpa (scaled dot product attention) layer directly, and turning on a torch compile flag: -
HTTP Libraries vs Custom Request Logic for Developers
By
–
Yeah I should probably take that option more seriously myself – I tend to be happiest writing my own HTTP request calling logic, but if they satisfy developers who prefer a library I should spend time properly figuring them out