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@SamuelZengML: Speech recognition is easy—until you ask it to listen forever. Today we’re open-sourcing Audio8 ASR Infinite: Ultra-low…

X AI KOLs Following · 9h ago Cached

Open-sourcing Audio8 ASR Infinite, a speech recognition tool with ultra-low latency, unlimited audio support, 24/7 transcription, and built-in semantic turn detection, claimed to be new state-of-the-art for streaming ASR.

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GitHub - MatiwosKebede/OpenTrainDNN: OpenTrainDNN: A Browser-Based Real-Time Neural Network Visualizer

Reddit r/artificial · 10h ago Cached

OpenTrainDNN is an open-source, client-side web application that provides real-time visualization of deep neural network training, including backpropagation and weight updates, directly in the browser.

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Z80 REPL

Hacker News Top · 10h ago

A REPL environment for interacting with the Z80 microprocessor, likely used for development or emulation purposes.

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@neural_avb: Simply DSPy code to generate choice-based JEV decision training data from any raw text source Some of the newer models …

X AI KOLs Timeline · 10h ago Cached

This article describes using DSPy code to generate choice-based JEV decision training data from raw text, highlighting the cost-effectiveness with cheap models like gpt-6-luna and deepseek-v4.1-flash.

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@Saccc_c: Friends who are interested can check out the game production process:

X AI KOLs Following · 12h ago Cached

This article shares the workflow for creating a 3D game in Codex using GPT 6-Sol, highlighting the challenges in character modeling and large scene assets.

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A proxy that watches the yes/no and pick-one decisions your app asks an LLM for, then trains a local model to make them for free

Reddit r/artificial · 13h ago

Stuntd is an open-source local proxy that records LLM decision calls, trains a lightweight model to handle them locally, reducing costs while maintaining high agreement with the teacher model.

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Most powerful harness for Qwen 3.8?

Reddit r/LocalLLaMA · 14h ago

The post discusses which harness is most powerful for the Qwen 3.8 model, comparing Qwen code and open code in terms of features and usability.

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Best AI phone call agent? I tested 8, and they're really two different kinds of product

Reddit r/AI_Agents · 15h ago

The author tested eight AI phone call agents, categorizing them into build-it-yourself platforms and direct-call services, and evaluated their performance in booking appointments with specific criteria.

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I built a lead-research pipeline and deliberately did not use an AI Agent.

Reddit r/AI_Agents · 15h ago

The author built a lead-research pipeline using n8n and AI tools, deliberately avoiding an AI Agent for predictability, and invites feedback on the design.

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GGUFs in transformers natively!

Reddit r/LocalLLaMA · 15h ago

Hugging Face announces native support for GGUF files in the transformers library, allowing easier use of quantized models with PyTorch tooling and performance comparable to llama.cpp.

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Redis is not a map you talk to over TCP

Lobsters Hottest · 16h ago Cached

The blog post discusses a caching solution for routing engine estimates in a gig economy delivery app using Redis and H3 hexagonal coordinates, and highlights challenges with Redis cluster key distribution and multi-key commands.

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went with a 3-level hierarchy (agent → sub-agent → task) instead of just "agents" — here's why flat didn't survive contact with a real domain

Reddit r/AI_Agents · 16h ago

The author explains why a flat agent structure failed in building Hospilot, a multi-agent system for hospital operations, and how adopting a three-level hierarchy (agent → sub-agent → task) improved modularity, planning efficiency, and scalability.

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Coding Agents Harness - Codebase context and quality

Reddit r/AI_Agents · 17h ago

The author is building Enola, an open-source tool that provides a structural model of codebases to coding agents, using a deterministic graph to offer architectural context and enforce quality rules to prevent technical debt.

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successful retries can make agent traces more misleading not less

Reddit r/AI_Agents · 17h ago

The article discusses how successful retries in AI agent traces can complicate analysis due to uncertainty in identifying similar calls, and introduces Traser, a tool to highlight meaningful differences and reduce uncertainty for engineers.

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stuntd: a local Jev-compatible server on Laya that learns from your own traffic (no API key needed)

Reddit r/LocalLLaMA · 19h ago

stuntd is a local proxy server that learns from your traffic to serve typed LLM decisions locally using the Laya model, compatible with the Jev protocol and requiring no API key.

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@realfxw: The hourly usage cap is frustrating, and even more so because Anthropic doesn't provide a Webhook for reset reminders. Developers often have to frequently check the terminal for the countdown or close their laptops to do other things, only to miss the prime development time after the quota resets. The open-source project Claude Sentinel elegantly solves this…

X AI KOLs Timeline · 20h ago Cached

The open-source project Claude Sentinel uses event-driven and cloud-based push notifications to instantly alert developers on their mobile Telegram when Claude's usage quota resets, addressing the issue of constantly checking countdowns.

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Unsloth Studio VS LM Studio... Which one do you prefer?

Reddit r/LocalLLaMA · 20h ago

The author compares Unsloth Studio and LM Studio, suggesting that LM Studio might be falling behind to newer platforms, and asks for user preferences.

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Re: Suggestions on implementing an efficient instruction set simulator in LuaJIT2 (2011)

Lobsters Hottest · 21h ago Cached

This 2011 mailing list thread discusses compiler challenges in optimizing interpreter loops and how LuaJIT2 achieves better performance through assembly-level techniques like fixed register assignment.

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Web-based IBM 1620 emulator and IPL-V from 1963

Hacker News Top · 21h ago Cached

This project offers a web-based emulator for the IBM 1620 Model-2 computer system, focusing on recovering and running vintage software from the 1960s.

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Hardware-Agnostic Models in vLLM (10 minute read)

TLDR AI · 21h ago Cached

vLLM is introducing hardware-agnostic layers to balance high performance on cutting-edge hardware with portability across different accelerators, addressing compatibility issues with torch.compile.

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