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… Training a decoder with Ising-Decoding, cuStabilizer, and PyTorch, and quantizing it. Quantum calibration agent is a script for deploying an agentic workflow using Ising Calibration 1 with the NVIDIA Nemo Agent Toolkit to quickly set up quantum calibration experiment automation. …
… The quantitative signal discovery agent developer example from NVIDIA shows how to automate signal discovery using agentic architecture built with the NVIDIA Nemotron family of open models and the NVIDIA NeMo Agent Toolkit open-source library. …
… But Figure 4 shows that the most common use, for both coding agent users and others, is for coding up analysis of quantitative data: 97% of coding agent users and 77% of other AI users report using it to generate code. …
… If an organization can migrate more quickly, it seems like a good idea to do so.” From Your Site Articles Google's Quantum Tech Milestone Excites Scientists and Spurs Rivals › Google’s New Quantum Algorithm May Actually Be Useful › Related Articles Around the Web Safeguarding cryptocurrency by disc…
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…
… Für künftige Quantenalgorithmen, die möglicherweise Tage oder sogar Monate laufen müssen, wäre das ein erhebliches Problem. Das Team um Google Quantum AI verfolgt deshalb einen neuen Ansatz. …
… A more stable quantum computing chip Image: https://platform.theverge.com/wp-content/uploads/sites/2/2026/06/Majorana-2-full-size 2.jpg?quality=90&strip=all Microsoft revealed its next-gen quantum computing chip, called Majorana 2, which the company says could speed up its progress in the field. …
… Qwen3 Coder Next, at 80 billion parameters, was trained from the ground up for agentic coding with a custom tool-call parser. …
… The benchmark thus jointly evaluates symbolic causal reasoning , data science, uncertainty quantification , abstention, and tool use / coding . View arXiv page View PDF GitHub 1 Add to collection Community We introduce CausalDS , a benchmark generator for agentic causal data science. …
… The following papers were recommended by the Semantic Scholar API QuIVer: Rethinking ANN Graph Topology via Training-Free Binary Quantization 2026 QAM-W: Joint 2D Codebook Quantization for LLM Weights via Hadamard Rotation and Activation-Aware Scaling 2026 OCTOPUS: Optimized KV Cache for Transforme… …
Engineering at Anthropic Quantifying infrastructure noise in agentic coding evals Agentic coding benchmarks like SWE-bench and Terminal-Bench are commonly used to compare the software engineering capabilities of frontier models—with top spots on leaderboards often separated by just a few percentage… …
