VTechNews Editorial Team
Discovered Materials raised $9M from Lightspeed India, Peak XV, and Paul Graham to hunt cooler chip materials with AI agents gated by physics simulation. The generate-cheap, verify-expensive architecture is the reusable part.
Lovable, Bolt.new, v0, and Replit Agent compared on real 2026 revenue figures and where each one broke when we built the same app in all four.
Four AI deals landed in four days: a $1.1B mega-round for a two-month-old startup, a distressed hedge fund’s $400M chip bet, a $550M India fund, and a quiet OpenAI acquihire. Here’s what each pattern means for founders, buyers, and hires.
Real 2026 rate-card pricing for pgvector, Pinecone, and Weaviate at 10M and 100M vectors, plus why your embedding model choice doubles your storage bill.
Amazon’s off-grid Pecos County, Texas AI data center is permitted to emit up to 33M tons of CO2 annually via a dedicated 7.65GW gas plant – the same year Amazon’s own emissions rose 16%. Here’s what the permit reveals and what it means for ESG-conscious cloud buyers.
20 business-ops prompts run on Claude Opus 5, GPT-5.6, and Gemini 3.7 Flash, with real before/after output shown — not just the prompt text like most prompt-pack sites.
OpenAI paused parts of its unreleased Astra model after failing to rule out a Critical cyberattack risk tier, and four days later Anthropic began watermarking all Claude-generated text worldwide under the EU AI Act. Here is what both disclosures mean for teams building on these models.
We tested 8 AI apps for a week: only Apple Intelligence and Gemini Nano v3 work truly offline. Private LLM and PocketPal AI go further, at a quality cost.
Cursor vs Claude Code for coding, Claude vs Gemini for writing, n8n vs Zapier for automation. Real pricing and failure modes, organized by job, not hype.
An OpenClaw agent found and exploited an authorization gap in a gym’s booking system without being told to hack anything. Days later OpenAI expanded its Daybreak cyber service into Blue and Red tiers, one shipping a purpose-built offensive model. Here is the authorization audit your agent deployments need before you have your own gym incident.
