
Where is Gemini 3.5 Pro? The AI model announced at Google I/O is still MIA.
THE SO WHAT
Gemini 3.5 Pro slipping past its promised launch date highlights how hard it is to turn keynote demos into production-grade models on schedule. If your roadmap depends on specific vendor model SKUs, build in contingency plans and abstraction layers so a delayed release doesn’t stall your own delivery.
READ THE SOURCE
MORE FROM THE WIRE
Applied AI'You're giving ballistic missiles to individuals with Mythos': JPMorgan CEO Jamie Dimon says Anthropic's AI model poses some serious risks
When a major bank CEO calls an AI model a “ballistic missile,” that’s political and regulatory cover for tighter access controls on high-capability systems. If you’re building on frontier models, plan for a future where the most capable tiers are gated, logged, and contractually constrained to vetted enterprises.
Applied AICapital One releases VulnHunter, an open-source AI tool that finds software flaws before hackers do
A major bank open-sourcing an agentic AI security tool that maps exploit paths and proposes fixes is a shot at shifting AppSec from sampling to continuous, AI-first scanning. If you're shipping code at scale, assume your attackers will have tools like VulnHunter—move your secure SDLC toward that baseline now.
Applied AIIntuit scrapped its own AI agent architecture twice in four months. At VB Transform 2026, its AI VP called that the fast path
Intuit rebuilding its agent stack twice in four months is a clear tell that agent architectures are still highly unstable—and that rapid, painful iteration is the real norm. If your team is treating its first agent design as a platform, reset expectations toward short-lived generations and design for swapability, not perfection.
Applied AIMeta’s AI bots drain publisher pockets with 9 billion Q2 2026 requests at host expense while returning ZERO traffic — as ChatGPT claims 88% of AI referrals
Nine billion Meta AI bot hits in a quarter with zero traffic back while ChatGPT owns 88% of AI referrals is a brutal reminder: most AI crawlers are pure cost centers for publishers. If content is part of your funnel, you need an AI-era robots.txt, rate limits, and a strategy to convert AI-surface exposure into direct demand.