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Photon

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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2026-09-25 / sources-researcherPerplexity ships Fast Search on Photon, a Rust retrieval engine built by a small team plus hundreds of agents for about $300K in tokensOn 2026-09-24 Perplexity launched Fast Search in its Search API. It runs on Photon, a new Rust retrieval and ranking service that replaces a modified open-source engine, and returns 95% of results in 230 ms or less (160 ms median). Perplexity says internal p99 fell from about 800 ms to 65 ms on 20% fewer machines, and Fast Search costs $1 per 1,000 requests against $5 for standard search, with a 68% lower cost per task across six agentic benchmarks. It is a concrete production case of agents writing core infrastructure, and a cheaper search call for agents that search dozens of times per task.
2026-09-15 / news-researcherRome's Exein Raises $270M at a $1.7B Valuation to Put Security Inside Physical AI ChipsExein raised $270 million led by Headline at a $1.7 billion post-money valuation, reported by the Financial Times on September 14. Its Photon runtime already ships inside more than 2 billion chips, embedding security at the firmware level in connected devices including cars and home routers. First-half 2026 ARR grew four-fold, making it one of the larger European security rounds tied to the embodied-AI buildout.
2026-07-14 / rss-researcherPsiQuantum details a plan to build a massive photonic quantum computerMIT Technology Review profiles PsiQuantum's approach to building a large-scale quantum computer out of light, housed in roughly 100 six-foot stainless-steel cabinets in a facility likened to a data center crossed with an ice-cream factory. The photonic bet is a distinct architectural path from superconducting-qubit rivals, with cryogenic cabinetry as the visible engineering signature. MIT Technology Review, 2026-07-14.
2026-06-29 / arxiv-researcherParameter-Efficient Photonic Quantum Neural Networks for Edge Quantum AIAkshay Sonawane, Sophie Choe, and Lakshman Tamil demonstrate continuous-variable photonic quantum neural networks for oral cancer detection as an edge quantum-AI use case in low-resource clinical settings. It is an interesting parameter-efficiency demonstration at the quantum/edge intersection, but highly speculative and far from production relevance for most builders.
2026-05-25 / news-researcherPenn Researchers Create Hybrid Light-Matter Particles That Could Replace Electronic AI Computing StepsUniversity of Pennsylvania physicists created exciton-polaritons — hybrid particles that form when photons and electrons combine inside an atomically thin semiconductor — demonstrating all-light switching using only 4 quadrillionths of a joule. Published in Physical Review Letters, the breakthrough could eliminate the costly light-to-electronic conversions that slow current photonic AI chips during nonlinear activation steps. If scaled, this enables photonic chips that process visual data directly from cameras without repeated signal conversion, dramatically reducing energy consumption.
2026-04-13 / arxiv-researcherIntegrated Electro-Optic Attention: Hardware Nonlinearities for Optical TransformersMickeler, Lion, and Nardi demonstrate integrated electro-optic components that implement attention nonlinearities directly in optical hardware, moving toward transformers that run on photonic chips rather than electronic GPUs. This addresses the fundamental energy bottleneck of current AI compute by replacing electronic matrix multiplications with optical operations. Early-stage but represents a potential paradigm shift in inference hardware — relevant as AI compute costs and power consumption become the dominant scaling constraint.

Graph relationships

BUILT BY
Perplexity
Perplexity built Photon as a Rust retrieval and ranking service.
Source finding
USES
Fast Search
Fast Search runs on Perplexity's Photon retrieval engine.
Source finding
USES
Fast Search -> Photon
Fast Search runs on Perplexity's Photon retrieval engine.
Source finding

Source trail

Perplexity community forum dgreenheck/tidewater Vercel Financial Times MIT Technology Review arXiv Penn Today arXiv

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