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I feel like what the general tech community has found in LLMs is what hedge funds found in market data decades ago

Went with the tried-and-true "Write a function to determine if a number is odd or even" Needless to say, they won't be getting a call back...

What would you advise/suggest

me and the ole ball n chain

how is 52 higher than 69?

AI just unlocked 3x more power from GPUs. A new AI framework called CUDA-L1 just taught itself to improve 250 different GPU tasks, delivering a 3.12x average speedup and a 120x peak gain. Here's how it works: The system's core is "Contrastive Reinforcement Learning (Contrastive-RL)," which is a leap over standard RL for code generation. Standard RL is simple: the AI generates code, gets a performance score, and that score is used to update the model's weights. The AI never actually sees the score or reasons about it. Contrastive-RL is different. The performance scores and previous code variants are fed back into the AI’s next prompt. The model is forced to generate a "Performance Analysis" section by reasoning in natural language about why one version was faster. Then it creates an improved implementation. The AI isn't just mindlessly iterating; it's performing a comparative analysis and building a mental model of what high-performance code looks like, allowing it to discover non-obvious strategies. Why this matters: Business Leaders: The 3.12x average speedup is a direct lever on your bottom line. This level of automation reduces GPU compute costs for both training and inference, freeing up capital and accelerating your product roadmap. Practitioners: This isn't just a theoretical paper. The team open-sourced all 250 final, optimized CUDA kernels on GitHub. You can verify the performance gains on your own hardware (A100, H100, L40, etc.) today. Researchers: This method provides a new blueprint for teaching LLMs to reason in specialized domains. The paper deep dives into "reward hacking" and how to prevent it. AI is now building its own flywheel, learning how to maximize the resources we give it.