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…Pi also works, but Claude Code is a known quantity, so I figured it was the best chance of having a consistently good experience. However, the first request Claude Code sends is…
…Quantum-inspired recurrent models using gated QKAN-FWPs demonstrate superior forecasting accuracy with reduced computational requirements compared to traditional LSTM networks for traffic matrix prediction. Generated by Qwen/Qwen2.5-Coder-32B…
…GPU-accelerated RelayBP improves on BP+OSD decoders by introducing memory strength damping per graph node, optimizing latency and convergence on quantum LDPC codes; integrated AI decoder inference with NVIDIA TensorRT and…
…Cong Wan , Zeyu Guo , , Jiangyang Li , , , Xiangyang Luo , , Abstract Agentic Data Tailoring paradigm uses learnable data processing to structure high-entropy multimodal streams, with DataClaw_0-9B model achieving robust alignment through…
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…
…Instead of relying on massive closed-source APIs, we used these empirical failure profiles to calibrate an asymmetric 6-role multi-agent debate pipeline. By forcing the agents through targeted safety gates…
…The Nemotron 3 Ultra Open AI models also bring agentic coding advanced to chip design with higher accuracy and deep domain expertise for RTL coding. All in all, NVIDIA's Vera CPUs…
…Enhancing Quantized Skill Abstractions via Visual Alignment and Iterative Refinement for Robotic Manipulation (2026) UniCoder: Unified Visual-to-Code Generation via Symbolic Rewards and Reference-Guided Code Optimization (2026) AgentCVR: Active Multi…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Reinforcement learning (RL) has become a representative post-training paradigm for LLMs, enabling strong reasoning and agentic capabilities. However, rollout generation remains a dominant…
…quantizers ( VQVAE , LFQ , IBQ ) and to text-to-image generation . View arXiv page View PDF Project page GitHub 64 Add to collection Community 📄 Paper: https://arxiv.org/abs/2606.32039 💻 Code: https…
…Agent-driven development in Copilot Applied Science I used coding agents to build agents that automated part of my job. Here’s what I learned about working better with coding agents. Continuous…
