SPCX opened at $160.95, spiked to $225.64 on Day 4, and closed the week at $174.90. Here is what drove each move, what the $75B raise funds, and what Indian retail investors need to know.
Anthropic launched two variants of the same frontier model on June 9, 2026. Fable 5 is publicly available; Mythos 5 is locked to vetted security partners. Here is what each does and how access works.
Beijing sent four civilian maritime-authority ships east of Taiwan on June 6, asserting jurisdiction over Pacific waters and citing Japan-Philippines border talks as the trigger.
Clay, taste-skill, open_deep_research, OpenBB, and exo - five integrations that extend Claude with lead research, anti-slop frontend design, multi-agent research, financial data, and local inference.
Two investigations - Wirescreen and Bloomberg - document over 500 PLA procurement attempts for Nvidia AI chips since 2019, and seven military-linked universities seeking the H200.
AMD's EPYC Venice becomes the first HPC chip on TSMC N2, packing 256 Zen 6 cores and claiming over 70% performance gain over Turin with 1.6 TB/s per-socket memory bandwidth.
Brad Smith announced a four-year, $10 billion commitment to Japan covering GPU data centres with SoftBank and Sakura Internet, national cybersecurity partnerships, and training 1M+ engineers by 2030.
OpenAI crossed $25B in annualized revenue; Anthropic hit $30B by April. What these numbers mean for IPO math, India's IT sector, and the shape of AI economics today.
GKE Agent Sandbox hit GA with 300 sandboxes/s throughput; AKS defaulted to Ubuntu 24.04 with kernel 6.8 and containerd 2.0. Here's what changes for AI inference node pools in 2026.
Anthropic's Claude Mythos Preview found 10,000+ critical vulnerabilities via Project Glasswing - but fewer than 100 are patched. Here is what that gap actually means for AI-assisted vuln triage.
At CES and GTC 2026, NVIDIA unveiled Cosmos world models, GR00T humanoid brains, and a fleet of partner robots — a bid to be the platform every robot runs on. Inside the physical-AI push.
The five biggest cloud companies will spend about $725 billion on AI infrastructure in 2026, roughly 75% of it on AI. Inside the buildout — GPUs, power as the new bottleneck, and the bubble debate.