Techyon

How To Run Gemma 3 12B on Free Google Colab GPU (T4) via Cloudflare Tunnel — Perfect for 8GB Mac/Low-spec PCs (Cherry Studio / AnythingLLM Compatible)

This guide demonstrates how to run the Gemma 3 12B model on a free Google Colab T4 GPU using a Cloudflare Tunnel. This method provides a solution for users with low-spec hardware, such as 8GB RAM MacBooks, by offloading …

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AgentCompass: A Unified Evaluation Infrastructure for Agent Capabilities

AgentCompass introduces a unified, open‑source evaluation infrastructure for LLM‑based agents, designed to be lightweight and extensible. It structures the evaluation process around three independent components to improv…

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From Controlled to the Wild: Evaluation of Pentesting Agents for the Real-World

AI pentesting agents are increasingly credible as offensive security systems, but current benchmarks still provide limited guidance on which will perform best in real-world targets. Existing evaluatio

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Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models

Coding agents must integrate external tool returns into ongoing reasoning - a capability that standard left-to-right pretraining on code exposes only in its forward direction. We observe that the acti

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OpenAI's first branded hardware is... a light-up keyboard?

OpenAI's first branded hardware, the Codex Micro, is a specialized keyboard designed to monitor multiple agentic threads simultaneously. It features a light-up display to enhance visibility and user interaction. This pro…

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Running Gemma 4 26B at 5 tokens/sec on a 13-year-old Xeon with no GPU

The user wants me to summarize a news article about running Gemma 4 26B on old hardware. However, the description/content is empty ("nessuna descrizione" means "no description" in Italian). I only have the title and URL.…

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If you have a MacBook, you already have a GPU with more memory than most graphics cards. This is because Apple silicon has unified RAM. This article will explain how to find, choose, and run models locally on Apple devices with MLX.

A guide on running models locally

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OpenAI reveals Codex Micro

  submitted by   /u/policyweb   to   r/singularity [link]   [comments]

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We're Hiring: ML Engineers (2–4 Years Experience) | Deccan AI

Deccan AI is recruiting ML Engineers with 2‑4 years of experience to drive agentic AI development. The position blends research and applied engineering, collaborating with frontier AI labs on model creation, evaluation, …

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How to Measure AI Voice Agent Latency Correctly: p50, p95, p99, TTFA, and Barge-In Delay

The article discusses accurate methods for measuring AI voice agent latency, emphasizing metrics like p50, p95, p99, TTFA (Time to First Audio), and barge-in delay. It critiques misleading latency claims in voice-agent d…

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Kwaipilot’s KAT-Coder-Air V2.5 hits OpenRouter. $0.15/$0.60 pricing with a 256K context window. Open_weight AI just keeps winning.

The open_weight ecosystem is moving insanely fast this month. KwaiKAT officially confirmed they are open-sourcing the weights for KAT-Coder-Air V2.5 incredibly soon, and the model is

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I tricked Claude into leaking your deepest, darkest secrets

A technical report explores a vulnerability involving the Claude AI model, demonstrating how it can be manipulated into leaking sensitive user information. The post details the methodology used to trick the model into di…

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