Techyon

When an AI Agent Issues a Refund, Who Decided ?

Organizations label their AI programs as automation but delegate portions of business judgment to software agents. When such an agent issues a refund, the question arises of who authorized that decision. The article exam…

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I built TradingSpy: local, privacy-first AI trading assistant(First Open Source)

TradingSpy is a privacy-first, open-source AI trading assistant designed to run locally. The project provides a dedicated TradingAgentService to facilitate autonomous trading analysis while ensuring data privacy. Read or…

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Stop Telling Me to Ask an LLM

The user wants me to summarize the news article. However, the description/content is "(nessuna descrizione)" which means "no description" in Italian. I only have the title, source, URL, author, and date. The title is "St…

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Mesh LLM: distributed AI computing on iroh

Mesh LLM introduces a framework for distributed AI computing built on the Iroh network. This approach enables decentralized large language model execution across distributed nodes. Read original

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The U.S. tech industry is increasingly anxious about the rising power and competitive price of open-source AI models from China — and whether the Trump administration will respond with yet another executive order | Politico

U.S. tech companies are expressing growing concern over the competitive pricing and capabilities of open-source AI models developed in China, raising fears about market disruption and national security implications. The …

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CausalDS: Benchmarking Causal Reasoning in Data-Science Agents

The paper introduces CausalDS, a benchmark designed to evaluate causal reasoning capabilities of data‑science agents that combine large language models with tool use. It addresses the gap between purely symbolic causal b…

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Linear Attention Architectures: Mechanisms, Trade-offs, and Cross-Layer Routing

This paper presents a comparative study of softmax attention versus four recurrent linear-attention architectures: DeltaNet, Gated DeltaNet, Kimi Delta Attention, and Gated DeltaNet-2. By expressing these mechanisms thro…

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Flash-BoN: Instant Drafts for Inference-Time Scaling in Diffusion Models

Flash‑BoN introduces instant draft sampling for inference‑time scaling in diffusion models, enabling rapid generation while reducing verifier overhead. The method extends Best‑of‑N sampling by incorporating real‑time tra…

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CineMobile: On-Device Image-to-Video Diffusion for Cinematic Camera Motion Generation

CineMobile is a proposed framework designed to enable efficient on-device image-to-video generation with cinematic camera motions, such as dolly zoom and bullet time. While Diffusion Transformers (DiTs) offer high perfor…

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Best ML Model for Vehicle Kerb Weight Prediction?

The Reddit post asks for recommendations on the best machine learning models for regression of vehicle kerb weight using engineering specifications such as dimensions, engine displacement, power, and drivetrain. The auth…

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Researchers Uncover Hidden Instability in Diffusion Model Training

New research indicates that standard accuracy metrics for diffusion models fail to detect critical numerical failures during the sampling process. This reveals a fundamental blind spot in how machine learning engineers v…

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I built a GUI control panel for llama.cpp so I'd stop hand-editing models.ini and llama-server flags

I developed LlamaForge, a browser-based control panel that interfaces with llama.cpp’s routing layer to simplify model management. It allows users to adjust all server parameters per model—knobs are parsed live—without m…

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