
Article URL: https://www.belkin.com/support-article/?articleNum=335419
Comments URL: https://news.ycombinator.com/item?id=44524063
Points: 19
# Comments: 21
Article URL: https://h0x0er.github.io/blog/2025/06/29/ebpf-connecting-with-container-runtimes/
Comments URL: https://news.ycombinator.com/item?id=44524430
Points: 8
# Comments: 0
https://h0x0er.github.io/blog/2025/06/29/ebpf-connecting-with-container-runtimes/
Hey HN, Henry and Roman here - we've been building a cross-platform framework for deploying LLMs, VLMs, Embedding Models and TTS models locally on smartphones.
Ollama enables deploying LLMs models locally on laptops and edge severs, Cactus enables deploying on phones. Deploying directly on phones facilitates building AI apps and agents capable of phone use without breaking privacy, supports real-time inference with no latency, we have seen personalised RAG pipelines for users and more.
A
Article URL: https://bsky.social/about/blog/07-10-2025-age-assurance
Comments URL: https://news.ycombinator.com/item?id=44524571
Points: 23
# Comments: 24

Article URL: https://simonwillison.net/2025/Jul/10/grok-4/
Comments URL: https://news.ycombinator.com/item?id=44524707
Points: 57
# Comments: 22
Article URL: https://stylepedia.net/style/
Comments URL: https://news.ycombinator.com/item?id=44521871
Points: 49
# Comments: 14

Article URL: https://metr.org/blog/2025-07-10-early-2025-ai-experienced-os-dev-study/
Comments URL: https://news.ycombinator.com/item?id=44522772
Points: 187
# Comments: 100
https://metr.org/blog/2025-07-10-early-2025-ai-experienced-os-dev-study/

Article URL: https://github.com/bh-rat/asyncmcp
Comments URL: https://news.ycombinator.com/item?id=44523094
Points: 5
# Comments: 0
Hey HN, I'm Arkadiy from Leaping AI (https://leapingai.com). Leaping lets you build voice AI agents in a multi-stage, graph-like format that makes testing and improvement much easier. By evaluating each stage of a call, we can trace errors and regressions to a particular stage. Then we autonomously vary the prompt for that stage and A/B test it, allowing agents to self-improve over time.