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Applied AI·October 3, 2026·1 min read

What if AI worked at 1.000.000 tokens per seconds?

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Thinking through 1,000,000 tokens per second forces you to confront that at some throughput, model latency stops being the bottleneck — your data plumbing, eval harness, and human review do. Use these thought experiments to stress-test where your architecture would break if inference became effectively free and instant.

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Mistlabs, which develops Ambi, an ambient AI app for iPhone, Apple Watch, and Mac that learns about users from conversations, raised a $26M pre-Series A

Funding for Ambi’s cross-device ambient AI underscores a shift from “open the assistant” to “the assistant is always listening and learning” across iPhone, Watch, and Mac. If you build consumer or prosumer products, assume the default interface will be passive, longitudinal context—plan now for consent, data sharing, and where your app fits in that continuous stream.

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Anthropic report on how AI is changing employment at the startup: decline of entry-level technical hiring, productivity boom across departments, and more

If a frontier lab is already cutting entry-level technical hiring while boosting cross-department productivity, expect AI-heavy orgs to skew even more senior and lean. For operators, the near-term move is to redesign junior pipelines and training around AI-augmented workflows instead of assuming historical headcount ladders will return.