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enterprise-apps

Cisco research: Trust, not technology, is now the speed limit on enterprise AI

For several years, the conversation about enterprise artificial intelligence has focused on capability: which model is smartest and which GPU is fastest. That made sense when technology was the constraint. It isn’t anymore. AI can now do far more than most organizations will allow, and the gap is trust. That’s the core finding of “Permission […] The post Cisco research: Trust, not technology, is now the speed limit on enterprise AI appeared first on SiliconANGLE.

SiliconANGLE AI
startup-projects

Show HN: We Gave AI Coding Agents Production Memory

Hi HN, I’m building Codela to help coding agents learn from what happens after their code ships.I realized that my AI agent writes a change, the tests pass, and it gets deployed. Then in production a problem happens, I fix it, but what it did wrong and why never reaches the agent, so futures session usually make the same mistake.Codela checks every deploy against how your app actually behaves in production, learns from the ones that broke it, and teaches your agents so they don’t repeat the mistake.Would love any feedback on this, thanks! Comments URL: https://news.ycombinator.com/item?id=50428670 Points: 1 # Comments: 0

Hacker News Show HN
embodied-ai

通用大脑能力再提升，蚂蚁灵波发布LingBot-Touch触觉基础模型11月10日，蚂蚁灵波科技开源触觉基础模型LingBot-Touch。该模型基于近5000小时真实触觉数据预训练，覆盖磁触觉、视触觉、压阻式三类传感原理，可将不同信号转为统一触觉表征，供不同灵巧手和动作模型使用，为机器人大脑补齐关键触觉感知能力，助机器人在“看得清楚、想得明白”外实现精细操作。在通用大模型加速演进时点，此举具关键意义。 刚刚 7.5K

蚂蚁灵波科技于11月10日开源触觉基础模型LingBot-Touch，基于近5000小时真实触觉数据预训练，支持磁触觉、视触觉和压阻式三类传感原理，可将不同传感器信号统一为触觉表征，实现跨硬件、跨模型复用。在26项真机测试中，接入该模型后四种动作模型的任务成功率平均提升14至26个百分点，如T-Rex控制灵巧手拧瓶盖的成功率从56.25%提升至90%。模型提供轻量版（约530万参数）与标准版，兼顾端侧算力需求，并已开源技术报告、模型及代码，支持社区使用。公司强调坚持具身原生路线，推动视觉、触觉等多模态对齐，与通用大模型协同推进具身智能发展。

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