Tootfinder

Sources: Oracle is in discussions with Meta to provide computing power for training and deploying AI models, in a deal worth about $20B (Bloomberg)
https://www.bloomberg.com/news/articles/2025-09-19/oracle-in-talks-with-meta-…

Oracle in Talks With Meta on $20 Billion AI Cloud Computing Deal
Oracle Corp. is in discussions with Meta Platforms Inc. for a cloud computing deal worth about $20 billion, providing further evidence that the company has become a significant infrastructure provider.

Depth, Confidence, Competition: Raiders’ Young Core Brings Fresh Hope https://raiderramble.com/2025/08/20/depth-confidence-competition-raiders-young-core-brings-fresh-hope/

This has got to be the most welcoming and beautiful public toilet facility I've ever seen. Look at the way it's lit - gorgeous!
https://www.archpaper.com/2025/08/toronto-to-the-loo-competition-public-restrooms/

Toronto’s To the Loo competition proves public restrooms can be beautiful too
the Toronto Public Space Committee, together with Cyan Station Architecture, have launched the To the Loo design competition to highlight the city’s shortage of public restrooms and to show that bathrooms can be an inspiring part of the public realm.

On en trouve encore ?
Small Computer System Interface — Wikipédia
https://fr.m.wikipedia.org/wiki/Small_Computer_System_Interface

Small Computer System Interface — Wikipédia

ComputerRL: Scaling End-to-End Online Reinforcement Learning for Computer Use Agents
Hanyu Lai, Xiao Liu, Yanxiao Zhao, Han Xu, Hanchen Zhang, Bohao Jing, Yanyu Ren, Shuntian Yao, Yuxiao Dong, Jie Tang
https://arxiv.org/abs/2508.14040

ComputerRL: Scaling End-to-End Online Reinforcement Learning for Computer Use Agents
We introduce ComputerRL, a framework for autonomous desktop intelligence that enables agents to operate complex digital workspaces skillfully. ComputerRL features the API-GUI paradigm, which unifies programmatic API calls and direct GUI interaction to address the inherent mismatch between machine agents and human-centric desktop environments. Scaling end-to-end RL training is crucial for improvement and generalization across diverse desktop tasks, yet remains challenging due to environmental in…

Compute-Optimal Scaling for Value-Based Deep RL
Preston Fu, Oleh Rybkin, Zhiyuan Zhou, Michal Nauman, Pieter Abbeel, Sergey Levine, Aviral Kumar
https://arxiv.org/abs/2508.14881

Compute-Optimal Scaling for Value-Based Deep RL
As models grow larger and training them becomes expensive, it becomes increasingly important to scale training recipes not just to larger models and more data, but to do so in a compute-optimal manner that extracts maximal performance per unit of compute. While such scaling has been well studied for language modeling, reinforcement learning (RL) has received less attention in this regard. In this paper, we investigate compute scaling for online, value-based deep RL. These methods present two pr…

Schottenheimer expects Parsons for opener https://www.espn.com/nfl/story/_/id/46033996/schottenheimer-confident-cowboys-parsons-opener

Cowboys have 2 former Syracuse Orange football stars competing for key roster spots https://www.sportingnews.com/us/nfl/dallas-cowboys/news/cowboys-2-former-syracuse-orange-football-stars-compet…

OpenAI CFO Sarah Friar says the company hit its first $1B revenue month in July and that "the biggest thing we face is being constantly under compute" (Samantha Subin/CNBC)
https://www.cnbc.com/2025/08/20/openai-compute-ai.html

OpenAI logged its first $1 billion month but is still 'constantly under compute,' CFO says
OpenAI has ballooned in size since the launch of ChatGPT in late 2022 and is expected to triple in revenue to $12.7 billion this year.

Computer model reveals NFL against the spread, over/under and money-line picks for each Week 3 matchup

https://www.cbssports.com/nfl/news/compute