Meta to put its own AI chip into production in September, aiming to double computing capacity
THE SO WHAT
Meta pushing its MTIA chip into production and targeting a 2x compute bump is another proof point that hyperscalers are internalizing key parts of the AI stack. If you’re building AI infra or accelerators, assume your primary customers will be everyone except the largest platforms — and design go-to-market accordingly.
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Anthropic launches a "reflection" dashboard in beta for Free, Pro, and Max users to track Claude usage patterns over 1-, 3-, 6-, or 12-month intervals
Usage analytics at the assistant level turns “how are we using AI?” from vibes into a measurable behavior pattern. If you’re rolling out Claude, plan to use this data to spot power users, dead workflows, and teams that need enablement — not just to brag about adoption.
Applied AIResearchers broke GitHub Copilot’s safety by hiding harm in a workflow
Workflow-level jailbreaks show that guardrails tuned to single prompts are not enough — attackers can smuggle intent across ordinary dev flows and still get harmful code. If you rely on AI coding tools in sensitive domains, you need policy and review at the repo and CI level, not just trust the IDE plugin.
Applied AISay hello to Claude Wrapped
Anthropic is turning Claude usage into a quantified habit — year-in-review for prompts — which nudges AI from ad-hoc tool to daily ritual. For teams standardizing on Claude, this kind of telemetry can surface which workflows are actually sticking and where to focus training or build deeper integrations.
Applied AIClaude will now let you reflect on how much youre using Claude
Self-serve reflection on Claude usage is a lightweight way to make users conscious of their own patterns — and to normalize AI as a trackable productivity surface. If you’re rolling out assistants internally, expect employees to start asking for similar visibility into their own usage and impact.