… This shift aligns with the rise of the AI factory: an environment purpose-built to deliver high-performance inference, shared services, governance, and cost control across the enterprise. Speed vs. control: the agentic AI trade-off Enterprises face a two-sided challenge as they scale agentic AI. …
… For agentic AI workloads of various sizes, organizations can break even versus public cloud API costs in as little as three months with Dell Deskside Agentic AI. Deskside systems keep inferencing local, costs predictable and data secure, giving businesses greater control over their AI environment. …
Papers arxiv:2605.08083 LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling Published on May 8 Submitted by Chengsong Huang on May 11 3 Paper of the day Google Authors: Tong Zheng , , , , , , Runpeng Dai , , , Tianyi Xiong , , , Abstract AutoTTS automates test-time scaling strategy discove… …
… Within Lenovo Hybrid AI Advantage™, platforms such as the Lenovo xIQ Agent Platform enable organizations to continuously improve performance, control costs, and maximize return on AI investments over time. …
… The following papers were recommended by the Semantic Scholar API From History to State: Constant-Context Skill Learning for LLM Agents 2026 LongMemEval-V2: Evaluating Long-Term Agent Memory Toward Experienced Colleagues 2026 ClawGym: A Scalable Framework for Building Effective Claw Agents 2026 Ali… …
… Early agent systems have shown what’s possible, moving beyond simple prompts to take on more complex tasks. The next step is bringing those capabilities into enterprise environments — where agents must operate with context, control and consistency across real workflows. …
… NVIDIA cuLitho improves cost-effectiveness or cycle time by 20-50% over CPU-based computational lithography at the same cost of ownership, while the NVIDIA cuEST library improves semiconductor material simulation by 50x on average, cuML library, Metropolis platform and TAO Toolkit help accelerate m… …
Hi HN! Pierce here.Rotunda is a firefox fork primarily intended for agent use, which I’ve been hacking on nights/weekends.There was a [lengthy](https://news.ycombinator.com/item?id=48024859) discussion last week on how e…
TLDR: got tired of my desk, so now I touch grass while coding from my watch.Ever since the 2021 GH Copilot beta saved me from dual carpal tunnel, I figured AI's main benefit in coding would be cutting typing while keepin…
Hey HN, we're Willy and Dan, co-founders of Twill.ai (https://twill.ai/). Twill runs coding CLIs like Claude Code and Codex in isolated cloud sandboxes. You hand it work through Slack, GitHub, Linear, our web app or CLI,…
Hi HN, I’m Namanyay from Gigacatalyst (link: https://gigacatalyst.com/). Gigacatalyst allows sales, CS, and users to build one-off features, so your SaaS can support long-tail customer workflows and engineers aren’t pull…
Hi HN, I'm Jeroen, 49. Father of two, and manager in the Dutch government by day. Until last December I had never written a line of code. You get the picture. Since April my first app, TravElly, is live in the App Store.…
… This best-in-class model gives enterprises and developers a production path for more efficient and accurate multimodal AI agents with full deployment flexibility and control. …
… As agentic AI moves to the edge and memory costs remain a real constraint in production deployments, this release directly addresses both. …
Back to changelog When you delegate a task to Copilot cloud agent , you can pick the model it uses to do its work. Today, we’re expanding the list of supported models to include faster, more cost-efficient options. …
