#LLM
Curated coverage on «LLM»: releases, research, benchmarks, open-source.
12 Pentesting Tools vs. Juice Shop: The Best AI Agent Found 5 Holes Out of 116
The author ran 6 AI agents, 4 DAST scanners and a Claude + Burp MCP combo against OWASP Juice Shop's 116 vulnerabilities. The hybrid won with 9/10; headline…
Google Releases Gemini 4 Argon: $2 per Million Tokens and First Place on the Vals Index
Gemini 4 Argon is live in the API and Gemini app: $2/$10 per million tokens, 95% off cached input, #1 on the Vals Index. Chrome, Gemma and quantum kernels got…
Reflection Releases Beam: An Open 501B-Parameter MoE Model Under Apache 2.0
New US lab Reflection has open-sourced Beam: 501B parameters, 23B active per token, 1M context and an Apache 2.0 license. The model is built for coding and agents.
OpenAI releases GPT-6.1 Terra: half the price and nearly on par with its senior models
OpenAI Releases GPT-6.1 Terra: $1 per Million Input Tokens and Three Times Faster Than Astra
2026 Open-Source Models Claim 1M Context but Read It Selectively
Anthropic Files S-1: $11.6 Billion in Quarterly Revenue and $780 Billion in Commitments
WhoWins: The First Line of a Prompt Wins Conflicts 72–95% of the Time
Anish Laddha and co-authors tested 14 open models on 1.9M responses: an instruction's position in the prompt often matters more than system-message status, and…
Context Compaction Erases a Third of Anti-Cheat Rules in ProgramBench
Jeanne Salle and co-authors tested five context compaction strategies on three benchmarks. Tests barely register the losses, but about a third of constraints vanish…
Retell Grows to 100 Million Calls a Month on OpenAI Models and Codex
An Agent Builds a Motion Studio From 20 Open-Source Libraries, From Remotion to Whisper
Axiom Math formalizes the "Enormous Theorem" in 43.1M lines of Lean in 24 days
Cline squeezes 11 840 tokens/s out of a single NVIDIA DGX Station
Cloudflare Launches Auto Router: It Picks the Model So Employees Don't Have To, Saving Up to 30%
Cloudflare put Auto Router for AI Gateway into beta. In an internal test it cost $2.10 vs. $5.91 for Claude Opus 5.5, with an 86.6% task success rate vs. 96.6%.
T-Bank replaces a swarm of LLMs with a single 32B model and cuts query costs by 2.8–3.9x
At EMNLP 2026, T-Bank researchers showed how one Qwen3-32B-based model covers 200+ services and beats Qwen3-235B on corporate benchmarks: 69.6 vs 65.8.