Camera Search@camerasearch

physical intelligence for tradesmen.

camerasearch.ai
Joined August 2024
120 Photos and videos
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using bounding boxes and object detection allows camera search to show you things, not just tell.
Peter James
@heypeterjames
Jul 24
i used @camerasearch to fix my boat fridge today. it was able to identify the compressor relay and PCB location so I could pinpoint the issue. I find that giving the model the ability to show, not just tell, is super powerful.
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improved the code execution across our images, so the agent has a better ability to show you things.
Peter James
@heypeterjames
Jul 22
Replying to @camerasearch
@camerasearch vision has gotten significantly better at working on hardware. Today I was able to figure out why my fridge/freezer on the boat crapped out.
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Camera Search retweeted
Peter James
@heypeterjames
Jun 27
POV: you've been building @camerasearch in your closet for 18 months and you're now 1 month from running out of money. may have to sell my truck for more tokens.
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This app will change peoples lives.
Peter James
@heypeterjames
Jun 22
Photo, thinking, and thumbnail animations using SwiftUI and Metal shaders. Polishing the final details for @camerasearch ahead of our iOS launch this week. 18 months of development, and I’m finally bringing my first app to market.
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I wrote 700k+ lines of code building Camera Search this year with @cursor. But every time I left my desk, I wanted to keep my agents running. So I built mouse.dev. Mouse lets you keep coding from your phone using cloud agents connected to your repo. Sign up for free: mouse.dev
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The analogue counter-movement isn't really against AI itself. It is against fake. It is against synthetic junk, slop art, bad voice, video and the poisoning of the human creative effort.
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The best companies will use AI in the background while making the front end feel more real, more useful, and more connected to the physical world. The worst companies will use AI to make cheap copies of things that used to have taste, effort, or trust behind them.
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We've posted a write-up on HN of the FieldOps-bench published yesterday here: news.ycombinator.com/item?id…
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Camera Search beats Claude Opus 4.6 on 87% of cases in the real world. Today we're releasing the FieldOps-Bench. It tests agents and frontier models across a comprehensive list of multimodal cases from Construction, Mining, Oil & Gas, Telecom, & Skilled Trades.
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Intelligence in the Physical world requires a different type of agent to be successful. We've optimized our harness and architecture to specialize in diagnosing and providing fixes in the field for traditional industries, beating frontier models.
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You can view the full results and methodology along with a brief Claude write up on our systems at camerasearch.ai/benchmark
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when the next model drops from Gemini @GoogleDeepMind, I think it's going to surprise a lot of people.
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really doing some sole-searching.
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Just a heads up for startups...
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how is the em-dash still not solved?
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AI has transformed knowledge work, but the people who actually build and maintain the physical world got nothing. Camera Search is the first agent platform built specifically for them. Point your camera at any part, tool, or problem and get instant, expert-level answers grounded in real service manuals and technical documentation. It works across 72+ trades, from electricians to marine engineers. We're building the intelligence platform for traditional industries.
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counter-narrative alert. camera search uses ~12x less energy than youtube, tiktok, instagram, and netflix.
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