Techyon

Sample-Efficient Learning from Agent Experience

Real-world agent learning is often constrained by costly environment interactions, such as running time-consuming experiments or obtaining human feedback. In-context learning offers a highly sample-ef

→ View original source

Show, Don't Tell: Evaluating Spatial Cognition in Generative Pixels Rather Than LLM Text

The paper argues that spatial cognition evaluation should use generative

→ View original source

Dataset Distillation by Influence Matching

We revisit dataset distillation from an outcome-centric perspective. Rather than aligning process surrogates (per-step gradients or training trajectories), Influence Matching (Inf-Match) aligns the fi

→ View original source

Claude Opus 5

(No description available)

→ View original source

Show Dev: Persistent, Outcome-Grounded Memory for AI Agents — No GPU, No Vector DB

https://vaasx.com Why I built this Every AI agent I worked with forgot everything between sessions, and every "add memory to your agent" tool I found either needed a GPU, billed per query,

→ View original source

Radeon AI Pro R9700 vs Strix Halo vs Mac Studio for a local coding LLM server ?

A developer is seeking hardware recommendations for a dedicated local LLM server optimized specifically for large-scale coding tasks. The inquiry compares the performance of the Radeon AI Pro R9700, Strix Halo, and Mac S…

→ View original source

30+ officially free AI/ML books, all in one curated repo

A curated repository, Awesome Free AI Books, aggregates over 30 legally free AI/ML textbooks spanning topics like Deep Learning, NLP, and AI

→ View original source

Claude Cookbook

A collection of practical examples and recipes for using the Claude AI assistant is published on the official platform. The Claude Cookbook provides developers and users with guidance on implementing common tasks and wor…

→ View original source

A Chinese model filled an AI cyber-defense gap · India backs fair dealing for AI training — for now…

A Chinese open‑source AI model was demonstrated to close a previously unaddressed vulnerability in AI‑driven cyber defense systems, detecting and mitigating threats that existing solutions miss. This reveals the model’s …

→ View original source

Use Qwen 3.5 27B as local LLM for coding on MacBook with 36G memory

A user is seeking advice on optimizing local LLM performance for coding tasks on a MacBook Pro equipped with an M4 Max chip and 36GB of RAM. They are currently running a 4-bit quantized Qwen 3.5 27B model via LM Studio, …

→ View original source

D] Exploring whether a local desktop interface can make mechanistic interpretability workflows more accessible

The post investigates whether a fully local desktop interface can simplify mechanistic interpretability workflows. The author presents CORTEX // MODEL OBSERVATORY, a native Windows application using WebView2 and local IP…

→ View original source

The Transformer Architecture Explained: Why This Single Innovation Changed Everything About AI

The 2017 Google paper "Attention Is All You Need" introduced the Transformer architecture, which replaced recurrent and convolutional networks with self‑attention mechanisms, enabling parallel processing and scaling to l…

→ View original source