#optimizedanalysis résultats de recherche

I spent the weekend analyzing something strange: traders who take 2+ hours to analyze a setup have 67% lower win rates than those who decide in under 3 minutes. Plot twist: It's not about rushing. It's about information density. The market generates 2.5 million data points per…

Claim: gpt-5-pro can prove new interesting mathematics. Proof: I took a convex optimization paper with a clean open problem in it and asked gpt-5-pro to work on it. It proved a better bound than what is in the paper, and I checked the proof it's correct. Details below.

GOOD NIGHT LEGENDS! Most traders accept gas and protocol fees as background noise. @kloutgg decided to turn that noise into optimization. The Fee Optimizer NFT functions like a personal efficiency layer that learns how you move value across chains. It tracks swap patterns,…

Java Performance Optimisation Overview 👉 → JVM memory model: Heap, stack and metaspace → Garbage Collectors: G1 and ZGC for large heaps → Prefer StringBuilder: Avoid repeated string copying → Thread pools: Reuse threads and reduce CPU stress → Avoid synchronized blocks…

With the release of the Kimi Linear LLM last week, we can definitely see that efficient, linear attention variants have seen a resurgence in recent months. Here's a brief summary of what happened. First, linear attention variants have been around for a long time, and I remember…

Optimizations I’d study if I wanted real-time Gen AI. Bookmark this. 1.Streaming Generation 2.Token Parallelism 3.Prefetch Pipelines 4.CUDA Graphs 5.Speculative Decoding 6.PagedAttention 7.KV Cache Quantization 8.Dynamic Batching 9.FP8 Kernels 10.Asynchronous Prefill 11.Memory…

Here is a simple explanation for all the doubters:

Analysis Execution

By the way this is the proof it came up with:

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Algorithm Upgrades: From Naive → Optimal

New Blog Post! Covers a lot of stuff I find interesting about optimisers and how they affect model training both in terms of resources and quality of the model. Link Below, please do check it out and RT/QT for the reach:)

Kimi Linear Tech Report is dropped! 🚀 huggingface.co/moonshotai/Kim… Kimi Linear: A novel architecture that outperforms full attention with faster speeds and better performance—ready to serve as a drop-in replacement for full attention, featuring our open-sourced KDA kernels! Kimi…

Struggling to pinpoint why your #PostgreSQL query is slow? EXPLAIN (ANALYZE, BUFFERS) gives the execution plan, but complex plans can hide performance clues. 🧠Plan visualizers save the day! What are your favorite tools for visualizing & optimizing Postgres query plans?

All our signals from all the algorithms that we have can be found inside of t.me/PumpFunLivestr…. You'll also find our "flex" cards in there. A flex card screenshot attached to this tweet. Check it out. All the algos have been improved, and the win rate is going through the…

Super excited to share what @stephenz_y and I’ve been up to during our internship at🍎: Using optimal transport makes flows straighter and generation faster in flow matching, but small batch OT is biased and large batch OT is slow. What to do? Use semidiscrete OT! 🧵

LoRA by Hand ✍️ ~ How does LoRA make fine-turning efficient (fewer parameters)? I drew this animation to show you. Pay attention to the number of red cells. On the left, regular fine-tune would involve 10x10=100 trainable parameters to update the original weight matrix.. On…

You need to read this right away. Having a skill in on-chain analytics is crucial for success in the financial market. I recently discovered a tool that offers optimized data analysis and AI based on on-chain data. And the best part? It's FREE! Let's dive deep! 🧵(0/14)

🔥 Want to train large neural networks WITHOUT Adam while using less memory and getting better results? ⚡ Check out SCION: a new optimizer that adapts to the geometry of your problem using norm-constrained linear minimization oracles (LMOs): 🧵👇

RIP Excel Data analysis just got 10x faster with AI Here’s the AI secret to analyzing data 90% of pros don’t know: [🔖Bookmark for later]