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AI Coding Agent for Hardware Optimized Code Diana AI hardware is still constrained by software. However, with reasoning models like Deepseek R1 or OpenAI o1 and o3, AI could generate hardware-optimized code that rivals—or surpasses—human CUDA code.

60,117 次观看 • 1 年前 •via X (Twitter)

18 条评论

Y Combinator 的头像
Y Combinator1 年前

From the AI breakthroughs of the last few months, a wave of new startup opportunities have been unlocked. Here are some of the ideas we think will be especially interesting to build now:

Y Combinator 的头像
Y Combinator1 年前

A Secure AI App Store @garrytan There is a small window today for a startup to create an AI App Store that provides computer use APIs and local LLaMA versioning with secure privacy controls, discovery, and payments. We hope you might build it.

Y Combinator 的头像
Y Combinator1 年前

Datacenters @sdianahu and @daltonc There is a bottleneck in technological change: the world needs more datacenters and high-tech factories. We are looking for startups building software and infrastructure to help construct and autonomously operate these facilities.

Y Combinator 的头像
Y Combinator1 年前

Compliance and Audit @t_blom 4 million people in the US & Europe work in compliance & audit. LLMs will automate the testing that these folks currently do by hand: spotting anomalies in data, identifying incomplete records, or highlighting contradictory policies.

Y Combinator 的头像
Y Combinator1 年前

DocuSign 2.0 @mwseibel There is an opportunity with AI to finally make the process of filling out and signing documents delightful.

Y Combinator 的头像
Y Combinator1 年前

Browser/Computer Automation @snowmaker AI agents can now browse the web and use desktop applications. It means that every website and every app now effectively has an API, and any workflow that people can do on a computer can be automated.

Y Combinator 的头像
Y Combinator1 年前

AI Personal Staff for Everyone @dflieb The world’s richest people employ large staffs of humans, like tax accountants, lawyers, money managers, personal trainers, and even private doctors. AI will soon be good enough to do all these jobs for everyone.

Y Combinator 的头像
Y Combinator1 年前

Devtools for AI Agents @dessaigne AI agents are the next wave: autonomous tools that reason, decide, and amplify human productivity. We’re funding startups building devtools for agents, whether you’re creating agent builders or building blocks to perform complex tasks.

Y Combinator 的头像
Y Combinator1 年前

The Future of Software Engineering @koomen AI will bring the cost of building software down to zero, but this means we’ll need MORE human developers, not fewer. We’d like to fund startups building tools for this future.

Y Combinator 的头像
Y Combinator1 年前

AI Commercial Open Source Software (AICOSS) @daltonc Just as RedHat and YC W15 company @Gitlab built public companies around open source projects, we are looking for companies built around open source AI models like DeepSeek and Llama.

Y Combinator 的头像
Y Combinator1 年前

B2A: Business-to-Agent @daltonc Not b2b, not b2c, but b2a: Business-to-agent. We are looking for startups that are building products where AI agents are the intended customer. Make something agents want.

Y Combinator 的头像
Y Combinator1 年前

Vertical AI Agents @snowmaker At a recent event, a founder asked Sam Altman "If you were 24 and starting a startup today, what would you build?" His answer: A vertical AI agent.

Y Combinator 的头像
Y Combinator1 年前

Startup Founders with Systems Programming Expertise @daltonc As evidenced by DeepSeek, being able to optimize the entire stack is a competitive advantage. This expertise can be an advantage in all sorts of startup ideas, ie, @bunjavascript from YC S19.

Y Combinator 的头像
Y Combinator1 年前

Inference AI Infra in the World of Test-Time Compute @sdianahu There’s room to rebuild the AI infrastructure stack: better software at inference-layer tooling, cheaper ways to handle GPU workloads, and optimizations that let AI apps scale without bleeding money.

Coral AI News 的头像
Coral AI News2 年前

Coral AI is the most powerful AI for documents. See the difference yourself:

Nikhil 的头像
Nikhil1 年前

@sdianahu you talking about the bend language?

Michael 的头像
Michael1 年前

@sdianahu oh cool I've been working on this

Welt Meister 🐋 的头像
Welt Meister 🐋1 年前

@sdianahu @blackcat_1iii

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Introducing The AI CUDA Engineer: An agentic AI system that automates the production of highly optimized CUDA kernels. The AI CUDA Engineer can produce highly optimized CUDA kernels, reaching 10-100x speedup over common machine learning operations in PyTorch. Our system is also able to produce highly optimized CUDA kernels that are much faster than existing CUDA kernels commonly used in production. We believe that fundamentally, AI systems can and should be as resource-efficient as the human brain, and that the best path to achieve this efficiency is to use AI to make AI more efficient! We are excited to publish our paper, The AI CUDA Engineer: Agentic CUDA Kernel Discovery, Optimization and Composition. We also release a dataset of over 17,000 verified CUDA kernels produced by The AI CUDA Engineer. Paper: Kernel Archive Webpage: HuggingFace Dataset: The AI CUDA Engineer utilizes evolutionary LLM-driven code optimization to autonomously improve the runtime of machine learning operations. Our system is not only able to convert PyTorch code into CUDA kernels, but through the use of evolution, it can also optimize the runtime performance of CUDA kernels, fuse multiple operations, and even discover novel solutions for writing efficient CUDA operations by learning from past innovations! We believe The AI CUDA Engineer opens a new era of AI-driven acceleration of AI and automated inference time optimization. We (Robert Lange, Aaditya Prasad 🇺🇸, sssss, Maxence Faldor, Yujin Tang, hardmaru) are excited to continue Sakana AI's mission of leveraging AI to improve AI.

Sakana AI

1,159,053 次观看 • 1 年前