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OpenAI 1 year ago 47
A company used OpenAI's tools to speed up its engineering development process. The improvement measured 20% faster completion of engineering cycles. This allows the engineering team to deliver features and fixes more quickly to users.
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TLDRocket
7 August 2026
The infrastructure layer of AI is consolidating around a new constraint: not chips, but the wires connecting them. Lumilens emerged from stealth with a $5.51 billion valuation and $700 million in Series C funding after securing multi-billion-dollar commitments from hyperscalers, a striking validation that optical interconnects—not GPUs—are now the bottleneck in building trillion-parameter clusters. Meanwhile, Nscale is preparing a US IPO on the back of a $51 billion contract backlog and quarterly revenue that jumped from $37 million to over $100 million in six months, betting that vertical integration across power, data centres, GPUs, and software will command a premium from public markets. Both companies are surfing the same wave: the shift from GPU scarcity to connectivity scarcity, and the realization that hyperscalers prefer owning infrastructure end-to-end rather than renting from cloud providers.
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