Long-form reporting, explainers and investigations.
An analysis of how AI automation is disrupting traditional entry-level finance work that historically trained the next generation of leaders, as AI handles routine tasks like invoice processing and account reconciliation.
A user shares how they switched to Google Messages for reminders instead of dedicated reminder apps, finding text-based alerts harder to ignore.
Analysis reveals that AI inference operations generate substantial hidden data storage costs often overlooked in infrastructure planning, with backend data footprints significantly exceeding user-visible output sizes.
Technology vendors are investing heavily in forward-deployed engineering programs to drive AI adoption, with major players committing billions to place specialized engineers at client sites.
An analysis of how AI and predictive analytics are being applied to debt collections, examining the limits of predicting individual borrower defaults and the role of statistical modeling at portfolio scale.
AI workloads are forcing data centers to adopt hybrid liquid and air cooling systems as GPU-accelerated infrastructure now routinely exceeds 40 kW per rack, far beyond air-only cooling's 20-40 kW threshold.
Security teams must shift from fixing all vulnerabilities to prioritizing meaningful exposures based on realistic exploitability and business impact.
The cybersecurity landscape faces a 'Patch Apocalypse' as nearly 48,000 CVEs were published in 2025 with exploit windows collapsing to roughly five days, forcing enterprises to shift from reactive patching to risk-based automation.
Enterprise AI is shifting from advisory to autonomous agentic systems that execute multistep tasks independently, raising significant security and operational risks for IT teams.
Many AI errors in IT operations blamed on hallucinations are actually caused by outdated, incomplete, or contradictory data rather than model failures.
Northeastern University research reveals that Samsung, Vizio, and Roku smart TVs continue sending data to tracking endpoints even after users disable tracking in device settings.
General Motors is developing technology to enable vehicles to function as personal assistants and autonomous errand-runners.
Organizations must establish authoritative data sources before automating systems, as automation requires trustworthy data without human verification, unlike manual processes.
The EFF outlines its legislative agenda to restrict Automated License Plate Readers, which have evolved from local tools into a nationwide AI-powered surveillance network used for civil rights abuses.
Endurance Energy's underwater geothermal generator produced more electricity than it consumed for 8.7 seconds during a test deployment off the Oregon coast.
eMudhra's discovery of eight compromised intermediate CA certificates, including one with a weak private key, prompted browser makers to revoke trust, exposing vulnerabilities in India's role as a custodian of global digital infrastructure.
A startup called Recursive is focused on using AI to build AI through recursive self-improvement, claiming the benefits outweigh the risks.
Miami startup OpenEvidence, valued at $15 billion, has become widely adopted by US physicians who use its AI-powered search engine to assist with patient diagnosis and treatment decisions.
