Developers who spend their days coaxing maximum performance from AMD, NVIDIA and Intel graphics cards on Linux just received a notable update. The open-source tool LACT reached version 0.10 on August 12, 2026. It adds concrete new options for NVIDIA overclocking, better sensor data for the latest Blackwell GPUs and smoother setup for everyone.
Redox OS keeps moving forward. The Rust-written microkernel system posted its July 2026 progress report last week. Contributors delivered measurable speed gains, hardware fixes, and tools that make the platform easier to try and run.
Performance Leap From New Scheduler
Reports of wild mushrooms triggering visions of miniature humans have circulated for decades. Yet only now have scientists pinned the phenomenon to one species. DNA evidence ties independent accounts from remote communities in Southwest China and the northern Philippines to Lanmaoa asiatica, a bolete mushroom long eaten as food. Eat it undercooked or raw, and many people start seeing the same thing: dozens or hundreds of tiny, lifelike figures. They march across tables. They climb walls. They swim in soup bowls.
Memory prices have surged five to seven times since early 2025. Apple responded by lifting iPhone prices as much as $300. Yet that move only hints at what’s ahead.
Chinese AI developer DeepSeek rolled out the official version of its V4 Pro model on August 12. Named DeepSeek-V4-Pro-0813, the release marks a step forward in the company’s two-track strategy that pairs a high-capability Pro variant with a lighter, faster Flash option. Early data show sharp gains on agent-focused benchmarks. Yet questions linger about how it stacks up against Moonshot AI’s Kimi K3 in real deployments.
Warren Buffett stepped down as chief executive of Berkshire Hathaway at the end of 2025. Yet his investing creed echoes louder than ever. The Oracle of Omaha built one of history’s greatest fortunes by refusing to chase quick wins. His simple test for any stock purchase remains as relevant in 2026 as it did decades ago.
Anthropic has moved fast. The company behind Claude models once relied almost entirely on cloud giants for its computing power. Now it is spending tens of billions to secure dedicated facilities across the United States. The shift marks a calculated bet that control over physical infrastructure will determine which AI labs pull ahead in the race for more capable systems.
Ken Griffin once brushed aside the frenzy around artificial intelligence. He called much of the talk garbage. Then something inside his own hedge fund changed his mind.
Fei-Fei Li has spent decades shaping the trajectory of artificial intelligence. Often called the godmother of AI for her foundational work on ImageNet, the Stanford professor now directs her attention to classrooms. In a recent appearance on the Huberman Lab podcast, she delivered a stark assessment. The greatest threat from AI in education isn’t students copying answers. It’s the quiet erosion of their drive to master knowledge on their own.
Cloud giants keep writing big checks to Cisco Systems. Orders for the networking leader’s AI infrastructure products from hyperscalers hit $1.9 billion in its fiscal third quarter of 2026. That compares with $600 million a year earlier. The jump signals how fiercely the largest cloud providers chase every advantage in building out massive GPU clusters.