#LLM
Curated coverage on «LLM»: releases, research, benchmarks, open-source.

Anthropic tested whether AI can copy itself through a TV set-top box
Anthropic's red team studied whether AI can move between devices like a virus. Small models already adapt to unfamiliar hardware and set up inference on their own.

Google DeepMind Launches Gemini 4 Argon and Cuts API Prices in Half
Google DeepMind has opened global access to Gemini 4 Argon, the first frontier model in the family. API prices are temporarily down 50%, with a focus on coding and…

Tsinghua Unveils SRHarness and MechBench: AI Agents That Look for Formulas and Mechanisms
Tsinghua's data science and intelligence lab proposed SRHarness for agentic symbolic regression and the MechBench benchmark to help AI find formulas and mechanisms…

Researchers Find a 0.4–1.1% Window in Pythia Pretraining Where the Readout Reorganizes

semCER Weights OCR Errors by Severity: 61M LLM-Judge Ratings

SAE on Gemma-2-2B: Share of Matched Features Rises from 2% to 29% With 50M Tokens

AA-Robotics v0.1: GPT-6 Astra controls a robot arm and scores 69 out of 100

MULTIFINGROUND: LLMs Recognize Accounting Concepts With 99% Accuracy but Miss Facts
A new benchmark on filings from 90 issuers: models identify the concept with up to 99.4% accuracy, yet in 26.6–41.9% of cases they miss at least one related number.

Interlock teaches agents to finish the job: up to +6.64 points on JobBench
The Interlock framework synthesizes long-horizon tasks for LLM agents. Fine-tuning two Qwen3.6 models on their own trajectories gave +4.00–4.50 pp on…

Modal raises $750M at $15.75B valuation and reaches $1B run rate

Agent teams for $155 instead of $510: Cohere finds where delegation actually pays off

WinARDet fixes looping in MLLM detectors: F1 rises from 32.16 to 39.36

GAFU pulls knowledge out of generation in UMMs and lifts VStar-Bench by 20%

SliderEdit++ Smooths Out Sliders in AI Image Editors: +18.5% and Up to 20x Faster
Researchers present SliderEdit++ and the SlideBench benchmark. The method smooths the edit trajectory, improves the overall score by 18.5%, and runs 3–20 times…

JockeyBench: 28 LLM Agent Configurations All Lost Money on Japanese Horse Racing
HKUST researchers tested LLM agents on 324 Japanese horse races. Seven configurations improved their forecasts, but all 28 lost money on average.









