Faraday Future Announces Its Latest Robot, the FX Aegis Quadruped, has Completed Its Full Compliance Certification in the United States - StreetInsider
Faraday Future Announces Its Latest Robot, the FX Aegis Quadruped, has Completed Its Full Compliance Certification in the United States StreetInsider
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Silverback AI Chatbot Announces Expanded AI Chatbot Capabilities for Structured Digital Communication and Automated Interaction - Daytona Beach News-Journal
Silverback AI Chatbot Announces Expanded AI Chatbot Capabilities for Structured Digital Communication and Automated Interaction Daytona Beach News-Journal
OCSF explained: The shared data language security teams have been missing
The security industry has spent the last year talking about models, copilots, and agents, but a quieter shift is happening one layer below all of that: Vendors are lining up around a shared way to describe security data. The Open Cybersecurity Schema Framework ( OCSF), is emerging as one of the strongest candidates for that job. It gives vendors, enterprises, and practitioners a common way to represent security events , findings, objects, and context. That means less time rewriting field names and custom parsers and more time correlating detections, running analytics, and building workflows that can work across products. In a market where every security team is stitching together endpoint, identity, cloud, SaaS, and AI telemetry, a common infrastructure long felt like a pipe dream, and OCS
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Hey r/LocalLLaMA , I just uploaded Harmonic-9B, my latest Qwen3.5-9B fine-tune aimed at agent use. Current status: • Stage 1 (heavy reasoning training) is complete • Stage 2 (light tool-calling / agent fine-tune) is still training right now The plan is to combine strong structured reasoning with clean, reliable tool use while trying to avoid making normal chat feel stiff or overly verbose. Filtered dataset for Stage 2: I open-sourced the filtered version of the Hermes agent traces I’m using for the second stage: https://huggingface.co/datasets/DJLougen/hermes-agent-traces-filtered Key improvements after filtering: • Self-correction: 6% → 63% • Verification steps: 26% → 96% • Thinking depth: +40% • Valid JSON/tool calls: 100% GGUF quants are already available here: https://huggingface.co/DJ
How to Clean Up Xcode and Free 30-50GB on Your Mac
Xcode is the single biggest storage consumer on most developers' Macs. A fresh install starts around 35GB, but over months of development it quietly grows to 80, 100, even 150GB+. Most of that growth is invisible — cached build products, old simulators, debug symbols for iOS versions you no longer use. I've been building iOS apps for years, and this problem is exactly why I built MegaCleaner — I got tired of manually tracking down these hidden folders every few months. But whether you use a tool or do it by hand, you should know where the space goes. This guide covers every Xcode storage category: what it is, where it lives, how big it typically gets, and whether it's safe to delete. No guesswork, no vague advice — just exact paths and clear safety levels. Quick Reference Before we dive in
Silverback AI Chatbot Announces Expanded AI Chatbot Capabilities for Structured Digital Communication and Automated Interaction - Daytona Beach News-Journal
Silverback AI Chatbot Announces Expanded AI Chatbot Capabilities for Structured Digital Communication and Automated Interaction Daytona Beach News-Journal
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