Topic: read

13 stories found

Yesterday

industry24

Nous Research Adds One-Click Local Model Setup to Hermes Desktop

Nou Research has simplified local model setup in Hermes Desktop to a single click, automatically optimizing and configuring the process for users based on their hardware. This update aims to make AI model deployment more accessible and efficient for end-users.

marktechpost.com

Friday, September 4, 2026

releases48

ggml/llama.cpp releases: v0.4.0

Version 0.4.0 of llama.cpp was released, adding support for Qwen3.8-Flash-Next and Nemotron-3-Puzzle models, along with several new features like on-demand tensor reading and video input options, making it more versatile for AI language tasks. This update is significant as it enhances the model's capabilities and flexibility, catering to a broader range of applications in natural language processing.

github.com
research40

Dual-Form ASR: Semantics-Aware Inverse Text Normalization for Chinese Speech Recognition

A new dual-form ASR approach called Semantics-Aware Inverse Text Normalization has been developed for Chinese speech recognition, aiming to produce both accurate spoken-form transcripts and readable written-form transcripts. This method addresses the need in modern ASR scenarios where both forms are crucial for faithful transcription and readability.

arxiv.org

Thursday, September 3, 2026

trending62

Porting my 1993 Amiga game to Godot, with an LLM reading the 68000 assembly

A developer is porting a 1993 Amiga game to the Godot engine while using an AI to read and understand the original 68000 assembly code, aiming to preserve the game's authenticity while modernizing it for new platforms. This project highlights the intersection of legacy game preservation with advanced AI technology, potentially setting a precedent for future retro game development.

babyloniantwins.com

Tuesday, September 1, 2026

Friday, August 28, 2026

Thursday, August 27, 2026

releases54

Ollama releases: v0.33.2

github.com

Wednesday, August 26, 2026

research35

RENDER: Controlling Reader-Facing Evidence in LLM Memory Evaluation

RENDER is a new benchmark introduced to evaluate language models' memory by controlling how reader-facing evidence is presented, addressing limitations in current evaluations that treat input history inconsistently. This matters because it ensures more standardized and fair assessments of memory capabilities across different systems.

arxiv.org

Tuesday, July 7, 2026

ai_labs67

Expanding Managed Agents in Gemini API: background tasks, remote MCP and more

New features in Managed Agents for the Gemini API allow developers to create more robust and reliable background tasks and remote management capabilities, enhancing the tool's utility for production environments. These updates are significant as they provide greater flexibility and functionality for developers using the Gemini API.

blog.google

🌿 That's all for now. Come back tomorrow.

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