Q&A #4: How I Approach Learning in Other Domains How I've personally applied the Math Academy learning approach to areas outside of math (specifically biology and music).

Send tham back to Karnataka. Send all people to their respective states.

Link: docs.google.com/document/d/1WU… His post: linkedin.com/posts/searchgu…

If you are a hardware startup needing to do fair amount of imports for your RnD. You should definitely get yourself registered as an in house RnD facility under DSIR-INDIA. The process is quite easy (may take some time to process) but then can help save fair amount of costs on

I will find him in bengalore & personally enquire about why this landya hates kannada. If you don't like it here go back to your state

This is a multi-billion dollar business Dusty robotics just invented a new tool that every single construction company will end up buying Just like a Roomba, it drives around, but it’s not cleaning, instead it’s printing the floor plan on to the slab. So simple, so powerful

Phoenix𝕏 annas-archive.org/md5/be5a7c550d…

apolinario 🌐 this is an old blog post but may be of interest michaelnielsen.org/ddi/how-to-cra…

Credit: reddit.com/r/SpaceXLounge… desmos.com/calculator/wly…

Why is your state shithole? Why are you guys keen on improving/contributing to Karnataka? We don't want you here, shameless people flood our state uninvited!

Yann LeCun on architectures that could lead to AGI LLMs can take us only so far. "If you are interested in human-level AI, don’t work on LLM Abandon generative models in favor joint-embedding architectures Abandon probabilistic model in favor of energy-based models Abandon

Stop imposing thet stupid language in South, you hindians will only create problems for yourselves, which could lead to southies moving away from union.

e.g. techfinder.stanford.edu or innovation.caltech.edu When scouting university research for commercializable innovations, it's good practice to read the academic papers, contact the researchers themselves, arrange a personal visit from their labs, etc.

Today Thinking Machines Lab is launching our research blog, Connectionism. Our first blog post is “Defeating Nondeterminism in LLM Inference” We believe that science is better when shared. Connectionism will cover topics as varied as our research is: from kernel numerics to

Fei-Fei Li says language models are extremely limited. This Google DeepMind paper makes almost the same point, just in the world of video. The models are just very advanced pattern matchers. They can recreate what looks like reality because they’ve seen so much data, but they

turns out learning gpu/asic programming and ML have always been the answer

Nick Carraway justinmath.com/retrieval-prac…

Understanding GPU Architecture from Cornell cvw.cac.cornell.edu/gpu-architectu… During a low-level discussion at a casual meetup, many folks were interested in understanding GPUs more closely. While CPUs optimize for complex control flow (see those big cores + caches), the GPUs maximize

> be you > want to actually learn how LLMs work > sick of “just start with linear algebra and come back in 5 years” > decide to build my own roadmap > no fluff. no detours. no 200-hour generic ML playlists > just the stuff that actually gets you from “what’s a token?” to “I

Best intro to post training in LLMs tokens-for-thoughts.notion.site/post-training-…