Five frontier models now tie on intelligence within five points while their cost per unit spans 3.8x. Google's own silicon explains the gap, & every other lab is now racing to build the same advantage.
Every year we run an AI survey. Four results surprised us : security became the top pain with the weakest tooling, builders route queries on cost but not on trust, one vendor hosts the sandboxes, & the audit trail moved to agents.
Bardia Shahali, VP of Sales at Granola, on how AI-era sales teams run smaller, ramp faster, and change who you hire and how you compensate reps.
AI models have commoditized as prices fall 41% while tokens surge 50%. The winning strategy is partnering, owning the interface, & harvesting routing data.
Vercel's COO on how the company actually built an inbound sales agent: a 125-line prompt written by the top SDR, six weeks of human QA, & the moment the prompt grew to 1,000 lines & had to be replaced by 14 rules in code.
AI inference will pass the $161b database market on its way to ~$350b in 2027, mutating every application into an inference reseller & upending classic software unit economics.
Vibe-coding is growing software in parallel petri dishes. State machines and formal verification design it. In this new era, we'll need both.
Tokenized real-world assets are compounding at 53% a month, more than twice as fast as Anthropic. Stocks & commodities now trade on blockchains 24/7, powered by Allium, which now runs Bloomberg's RWA terminal dashboard.
Anthropic & OpenAI both re-rated their run rates in 2026 by segmenting : a mandatory enterprise repricing against an 80% price cut on the cheapest tier.
GPU rental prices doubled in six months while inference prices kept falling. The reconciliation is efficiency : the hinge that turns scarce silicon into cheap intelligence.
