Can’t say I’m shocked a real estate agent would buy this
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https://x.com/YourAnonCentral/status/2016665863051702312?t=6P0tdGHGC6V6p_U8HtipwA&s=19...
Feb 24, 2026 · Meta's Summer Yue says she ran OpenClaw on her inbox, but its size 'triggered compaction [and] lost my original instruction' to get her permission before deleting.
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Human-robot teaming offers great potential because of the opportunities to combine strengths of heterogeneous agents. However, one of the critical challenges in realizing an effective human-robot team is efficient information exchange - both from the...
Cory DeVante Williams, better known online as CoryxKenshin, is an American gaming YouTuber and social media influencer. Williams’ fans call him "The Shogun Himself".
He has more than 24 million subscribers on YouTube. He is from Detroit, Michigan and his real name is Cory DeVante Williams. He has a dog named Samson. He has a younger brother named Anthony …
Maximum life span (or, for humans, maximum reported age at death) is a measure of the maximum amount of time one or more members of a population have
\> The records viewed by ProPublica list Ochoa, 43, and Gutierrez, 35, as the shooters during the deadly encounter last weekend that left Pretti dead and ignited massive protests and calls for crim...
In classic reinforcement learning algorithms, agents make decisions at discrete and fixed time intervals. The duration between decisions becomes a crucial hyperparameter, as setting it too short may increase the problem's difficulty by requiring the...
Context management for Claude Code. Hooks maintain state via ledgers and handoffs. MCP execution without context pollution. Agent orchestration with isolated context windows. (⭐ 3584)
This paper develops a continuous functional framework for treatment effects propagating through geographic space and economic networks. We derive a master equation from three independent economic foundations -- heterogeneous agent aggregation, market...
Solving temporally-extended tasks is a challenge for most reinforcement learning (RL) algorithms [arXiv:1906.07343]. We investigate the ability of an RL agent to learn to ask natural language questions as a tool to understand its environment and achi...
In reality, it is often more efficient to ask for help than to search the entire space to find an object with an unknown location. We present a learning framework that enables an agent to actively ask for help in such embodied visual navigation tasks...
Questions convey information about the questioner, namely what one does not know. In this paper, we propose a novel approach to allow a learning agent to ask what it considers as tricky to predict, in the course of producing a final output. By analyz...
We investigate the design of mechanisms to incentivize high quality in crowdsourcing environments with strategic agents, when entry is an endogenous, strategic choice. Modeling endogenous entry in crowdsourcing is important because there is a nonzero...
This year saw agencies updating rider policies, cracking down on fare evasion, using AI to help enhance safety and adding police to their systems. Mass Transit Magazine By Brandon Lewis and Megan Pe...
In certain naturally aged aluminum alloys, significant strengthening can be obtained due to the decomposition of a super-saturated solid solution into clusters. The origins of such strengthening remain unclear due to the challenge of differentiating...
The SWE-Bench Verified leaderboard is approaching saturation, with the top system achieving 78.80%. However, we show that this performance is inflated. Our re-evaluation reveals that one in five "solved" patches from the top-30 agents are semanticall...