The latest blog posts to take off on Hacker News. 3,238 posts.
We’re excited to share V-JEPA 2, the first world model trained on video that enables state-of-the-art understanding and prediction, as well as zero-shot planning and robot control in new environments.
The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models.
Protect your organization with Idira®. Modernize identity governance, automate access reviews, and secure every identity across your hybrid cloud environment.
Recent generations of frontier language models have introduced Large Reasoning Models (LRMs) that generate detailed thinking processes…
New revenue benchmarks for gen AI startups in year one, based on dozens of enterprise and consumer AI companies we’ve spent significant time with.
Open source LLMs now outperform closed alternatives at 90% lower cost for workhorse tasks. We compare benchmarks, pricing, and real-world performance.
Over the weekend, I went digging for evidence that AI can, will, or has replaced a large percent of jobs. It doesn't exist. Worse than that, actually,
Golang might just be the best language for building AI agents.
Support for GPUs in Cloud Run makes running GPU-accelerated applications simpler, faster, and more cost-effective, as well as enabling new use cases.
My smartest friends have bananas arguments about LLM coding.
Check out our deep dive on the latest meta prompting methods, like DSPy and TEXTGRAD, and the best prompt generator tools out there.
We have some very fast AI-generated kernels in pure CUDA-C without using libraries and DSLs such as CUTLASS and Triton. They are performing close to or in some cases even beating the standard expert-optimized production kernels shipped in PyTorch. Some of our highlighted results:
We are not adding generative AI to our apps. Here's why.
Most teams are curious about fine-tuning and how it might help their AI products, but they don't know what to expect from the process, how to measure success, or where to start.
Our open-source tools generate attribution graphs showing how language models reach decisions.
Benjamin Spector* , Jordan Juravsky* , Stuart Sul , Owen Dugan , Dylan Lim , Dan Fu , Simran Arora , Chris Ré
The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models.
Here's a common question we get from prospective Cline users: "How does Cline handle large codebases? Do you use RAG to index everything?" It's a reasonable question. Retrieval Augmented Generation (RAG) has become the go-to solution for giving AI systems access to large knowledge bases. But for Cline, we've taken a…
When Large Language Models are used as judges for decision-making across various sensitive domains, they consistently exhibit unpredictable and hidden measurement biases, making their verdicts unreliable despite common prompt engineering practices.
The Legit research team unearthed vulnerabilities in GitLab Duo.
Introduction to Kumo Relational — the relational foundation model for predictive AI on relational data
Discover Claude 4's breakthrough AI capabilities. Experience more reliable, interpretable assistance for complex tasks across work and learning.
Model Context Protocol, like most protocols, solves the M ⨯ N integration problem by turning it into an M + N integration problem.
Explore the upgraded Google AI Studio with Gemini 2.5 Pro, agentic tools, and enhanced multimodal capabilities for developers to build sophisticated AI apps.
Building a family of AI products for everyone.
