Trustpilot just partnered with Shopify to put its reviews where AI search engines are already looking
THE SO WHAT
Trust signals are moving from web widgets into structured data pipes aimed at AI search and shopping agents. If you run ecommerce, treat review schema and integrations like SEO in 2010—either you feed the machines clean, high‑coverage data or your products get sidelined in AI‑mediated discovery.
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Applied AI'We want to be the operating system for physical operations': How Samsara wants to help even the most traditional companies adopt AI
“Operating system for physical operations” is code for owning the data exhaust of trucks, warehouses, and field work—and then layering AI on top. If you run manual or asset-heavy operations, the real decision is whether you let a single vendor aggregate your telemetry or insist on an open data spine you can swap AI layers on and off.
Applied AISilicon Valley backed Trump to kill AI regulation, now the industry is begging for rules
Frontier AI execs now asking the same administration they funded for “no rules” to create a stable framework is a reminder that regulatory ambiguity is worse than constraint. If you depend on US AI policy, plan for volatility—treat compliance as a moving target and build optionality across jurisdictions, not just DC access.
Applied AI'We don’t believe this kind of government access process should become the long-term default': OpenAI unveils big GPT-5.6 upgrades for ChatGPT, but you can't use them yet
Model access is now a negotiation between labs and governments—GPT-5.6 exists, but US testing holds back general release. If your roadmap assumes day-one access to frontier capabilities, build contingency plans around staggered, jurisdiction-specific rollouts and potential pre-clearance regimes.
Applied AIClaude Mythos 5 is back, but only for a select group of US institutions
Model access is now being gated like dual‑use infrastructure—Mythos 5 comes back first for US institutions tied to national security and critical infrastructure. If your workflows depend on frontier models, treat regulatory risk like a supply-chain dependency, not an edge case.