Tactical Intelligence Layer
What would some of the world's largest repositories of malware look like if they were stacked as hard drives, one on top of the other?
Fervo Energy's IPO was upsized several times after potential investors asked why the enhanced geothermal startup wasn't raising more money.
X’s new History tab combines bookmarks, likes, watched videos, and read articles into a single place, expanding the app’s role as a save-it-for-later tool.
"I believe I am an honest and trustworthy business person," Altman testified in federal court.
Mind Robotics, which was first revealed in late 2025, has now raised more than $1 billion to date.
The feature lets users share disappearing photos with their Close Friends or mutual followers that can be viewed only once and remain available for 24 hours.
For founders and investors, Anthropic's new offering signals that the AI platform wars are expanding downmarket and that the next major battleground for user acquisition isn't the Fortune 500; it's th
Origin Lab will serve as a marketplace where AI labs can buy high-quality licensed data, and video-game companies can sell it.
A ransomware group has claimed responsibility for hacking the electronics manufacturing giant Foxconn, and is attempting to extort the company.
U.S. House lawmakers want to know how hackers broke into education tech giant Instructure twice, and stole reams of data from students who use the company's flagship student data software Canvas.
Palantir, Anduril, Google and other tech giants are selling AI-powered, computer-guided weapons systems.
arXiv: ToolCUA: Towards Optimal GUI-Tool Path Orchestration for Computer Use Agents Computer Use Agents (CUAs) can act through both atomic GUI actions, such as click and type, and high-level tool …
arXiv: Covering Human Action Space for Computer Use: Data Synthesis and Benchmark Computer-use agents (CUAs) automate on-screen work, as illustrated by GPT-5.4 and Claude. Yet their reliability on complex, low-frequency …
Google and SpaceX are in talks to build data centers in orbit, pitching space as the future home for AI compute, even as costs today remain far higher than on …
arXiv: DataMaster: Towards Autonomous Data Engineering for Machine Learning As model families, training recipes, and compute budgets become increasingly standardized, further gains in machine learning systems depend increasingly on data. …
New weights detected for About this sheet. Update local evaluation suite and check quantization feasibility.
Trend shift towards 'Agentic Workflows' detected. Review LangGraph or Autogen implementation patterns.