The human sciences are shifting: for the first time, core research tasks can be handed off to machines. AI chatbots increasingly contribute to scientific research, including in the most prestigious publications and in the social sciences. This has spurred optimism that AI could boost research productivity—while also stoking fears about overloaded peer review and a deluge of academic AI slop. But while turn-taking AI chatbots have primarily been used for writing assistance, coding agents could restructure social science research more radically. Agentic coding platforms like Claude Code and Code
Coding agents in the social sciences…It also analyzes performance of the simulations or quantum hardware runs. In August 2025, the company made its library and SDK compatible with AI agents , including Anthropic’s Claude Code . Classiq knows…
…For details, see Simultaneous Discovery of Quantum Error Correction Codes and Encoders with a Noise-Aware Reinforcement Learning Agent . The decoding step is another promising target for AI, exemplified by Google’s…
…When connected to local applications and files, the resulting model can support coding, email processing, calendar management, document analysis, smart-home routines and other agentic tasks. Local processing also gives users greater…
…OrbitQuant instead quantizes in a normalized, rotated basis: a randomized permuted block-Hadamard (RPBH) rotation concentrates each coordinate around one fixed, known marginal regardless of input, so a single Lloyd–Max codebook…
In medium reasoning mode, it both scores higher than the 3.6 version, AND is very much more efficient (almost half requests needed, and a third less tokens generated) - at DeepSeek v4 Flash 3107 MXFP4 level The xhigh mod…
Following up on my previous post about my budget server setup (Intel N100 + RTX 5060 Ti 16GB), a few of you asked for a deeper dive into my actual inference config and real-world agentic performance. Like many of you, I …
TL;DR: I spent 9 days developing a new quantization method for MLX models and measured 18 variants against each other on a single M5 Max MacBook Pro (128 GB). The result is the best-measuring MLX quant of Qwen3.5-122B-A1…
I used LM Studio Bionic with Qwen 3.8 27B Q3_K_S with 57k context. It took a staggering 63 hours to finish coding. After the first prompt "Create a beautiful, relaxing flight simulator in a single HTML page" taking 47.8 …
https://x.com/Badtheorylabs/status/2079306502897074249 A 27B open-weight agent model built for agentic coding, structural tool use . The complete thing fits in one 8.39GB file under 2.5 bits per parameter smaller than an…
…GBC models a multi-agent system as a computational graph and uses gradient-based signals to quantify how each agent output influences downstream agents at the token level. This allows us to…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Can Large Language Models (LLMs) understand and reason about quantum operators ? Despite their remarkable capabilities in mathematics and symbolic reasoning, LLMs remain inherently blind…
…versionierter Speicher, der Git spricht Geben Sie Ihren Agenten, Entwicklern und Automatisierungen ein Zuhause für Code und Daten. Wir haben gerade Artifacts lanciert: Git-kompatiblen versionierten Speicher, der speziell für Agenten entwickelt…
…This can already be demonstrated using a tool-heavy Codex developer workflow running six concurrent ChatGPT 5.5 High agents. In the testing harness, each agent completed multiple tasks across AST and…
…And agents of all stripes are supported by Windows 365 for Agents, whether it’s no-code or pro-code! Microsoft is built on Microsoft tech (dogfooding FTW), so Windows 365 for…
…explanations from coding agents. ExplainBench is based on the intuition that informative explanations should enable an LLM to correctly answer questions, allowing quantitative comparison of explanation quality between agents. With this observation…
