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The qwen2vl model in llama.cpp was producing incorrect results due to NULL values being passed for FFN weight scales, preventing per-tensor NVFP4 scales from being applied. This issue has been resolved by correctly passing the scales to the build_ffn function, consistent with how qwen2 handles them.
The future of agents is them taking on open ended goals and driving towards completion of those goals. Learn more.
I started learning and writing up this blog in my own words, combining multiple resources until I feel comfortable in my understanding and then writing them down on my own. No AI here (other than help during the learning). This is article 1 of the series.Started understanding the flow of things from wall outlet, I know I skipped the things around how sand turns into a chip, but it would have gotten very long, maybe a story for another time.Looking for some feedback. Comments URL: https://news.ycombinator.com/item?id=50503921 Points: 2 # Comments: 2
Article URL: https://github.com/noambrand/ai-time-estimator Comments URL: https://news.ycombinator.com/item?id=50499487 Points: 2 # Comments: 0
Article URL: https://github.com/fertile-org/coppice Comments URL: https://news.ycombinator.com/item?id=50499320 Points: 2 # Comments: 0
This is a prompt-injection detector I built using NLP and SMT2. Comments URL: https://news.ycombinator.com/item?id=50501132 Points: 1 # Comments: 0
Yes, i really hate "dict[str, ANY]" Comments URL: https://news.ycombinator.com/item?id=50504072 Points: 14 # Comments: 1
Article URL: https://github.com/KrocPDF/KrocPDF Comments URL: https://news.ycombinator.com/item?id=50503891 Points: 3 # Comments: 0
Article URL: https://github.com/vavkamil/crycut Comments URL: https://news.ycombinator.com/item?id=50498398 Points: 1 # Comments: 0
I was tired of losing time on Instagram, so I vibe coded this Android app with Codex. Comments URL: https://news.ycombinator.com/item?id=50498701 Points: 1 # Comments: 0
Article URL: https://github.com/Tthanh2k6/turbo-browser-mcp Comments URL: https://news.ycombinator.com/item?id=50503930 Points: 8 # Comments: 0
Article URL: https://docs.wendy.dev/latest/getting-started/app/ Comments URL: https://news.ycombinator.com/item?id=50502531 Points: 1 # Comments: 0
Article URL: https://claude.com/resources/articles/projects-redesigned Comments URL: https://news.ycombinator.com/item?id=50492141 Points: 65 # Comments: 50
Amazon Bedrock AgentCore runtime V2 snapshots your initialized environment and restores it for each new session, so session start no longer grows with image size. This post explains how V2 starts a session, how to measure session start time, and four patterns to keep work off the first request.
The latest release of llama.cpp (b12362) includes optimizations for grammar matching through left factoring, improved handling of character class boundaries, prevention of infinite expansion, and enhanced code clarity with ASCII comments and deduplicated logic. It reverts prior changes related to AST refactoring and alternative limits, while introducing shared immutable rules and removing performance benchmarks. The release supports multiple platforms including macOS, Linux, Windows, Android, and iOS, with various backend options such as CUDA, Vulkan, ROCm, OpenVINO, and SYCL.
The update refactors DFlash-based speculative decoding methods in llama.cpp by restructuring code organization, sharing components across models, splitting decoder graphs per head, and introducing dedicated classes for DFlash2 and LiliCorr drafts. It also adds support for new draft types, improves documentation, and removes unused code.
The AI video leaderboard looks very different from 12 months ago. Native audio is now table stakes. Clips run 15–30 seconds. And an open-weights model sits in the top 3. This ranking (as of Nov 13, 2026) uses one quality signal: blind human-preference Elo from the Artificial Analysis Video Arena. We pair it with API […] The post Best AI Video Generation Models in 2026: Elo, Price per Second, Open Weights appeared first on MarkTechPost.
This walkthrough demonstrates how to create a beverage can pick-and-place task using the UR17G robot arm, Robotiq 2F-140 gripper, and a beverage can in Isaac Sim. The process involves downloading SimReady assets from SimReady Central on Hugging Face, assembling the robot and gripper, validating joint and physics settings, and using an AI agent to generate and run control code for the task. The simulation tests grasp accuracy, object stability during movement, and placement precision, with validation reports confirming compliance with SimReady profiles. The workflow supports reuse of validated assets and encourages developers to contribute their own SimReady-compatible robotics content.
You can now bring your work on GitHub Enterprise Server (GHES) into the GitHub Copilot app. Add your GHES account to work with remote repositories, issues, and pull requests. This… The post GitHub Enterprise Server support in the GitHub Copilot app appeared first on The GitHub Blog.
The company says a bad update—not a cyberattack or AI—caused its servers around the world to crash.
