Co-founder, CTO @roboflow: Give your software the sense of sight; use computer vision without becoming a machine learning expert.
San Francisco
Joined March 2009
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Just submitted our 1st #madewitharkit app for iOS11! @magicsudokuapp solves Sudokus using #CoreML, #Vision & #ARKit. magicsudoku.com
Carbon is now available across @roboflow from Auto-Label, to Workflows, to Playground.
Gemini 4 Carbon is so fucking good at computer vision
- #1 overall
- #2 object detection
- #1 short string extraction
- #4 structured JSON extraction
- #1 long text transcription
- #1 text localization and recognition
very slow and expensive though...
↓ examples
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If you’re in Singapore and into CV, come hang out with me and the @roboflow team tonight. luma.com/p9pt1l13
Argon finally aces this eval. Astra mixed up the M's and W's. playground.roboflow.com/shar…
Argon is now the default model for labeling images in @roboflow, displacing Astra! Try it out in Playground, Workflows, Agent, and Auto-Label.
A sufficiently large Zoom meeting is like a bag of microwave popcorn: the meeting is ready to begin when there's 3 seconds between the joining doorbell sounds.
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We’re running 6.1 Sol on a portion of our traffic and still seeing 6.4% of conversations (1.9% of messages) fail with an error compared to 1.1% (and 0.2%) on 6 Sol.
Significantly worse overall success metrics on that cohort as a result even though it does better on our evals.
Global reset landing tomorrow 10am PST for all paid ChatGPT accounts. Apologies for the slow start with GPT-6.1 Sol, it's now back to running at expected speeds after the massive load spike in the first two days.
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Images labeled in @roboflow’s Auto-Label feature were up another 70% yesterday over last Thursday.
We were able to cut costs 10x while keeping accuracy almost the same by making some prompt optimizations and switching the default to Sol 6.1 from Astra.
Today I /goal’d Astra to speed up the loading time of our app. It worked for 13 hours and opened 63 PRs that, upon inspection, turned out to not improve the loading speed at all. These models are so hit and miss.
Ok this is pretty insane. Astra side-loaded a custom app for my DJI RC2 controller that takes a live video stream from my Mini 5 Pro drone, streams it to a @roboflow Workflow running RF-DETR via our Serverless Video API, & overlays the predictions back on the controller’s screen.
Ok this is pretty insane. Astra side-loaded a custom app for my DJI RC2 controller that takes a live video stream from my Mini 5 Pro drone, streams it to a @roboflow Workflow running RF-DETR via our Serverless Video API, & overlays the predictions back on the controller’s screen.
The anatomy of a spear phishing attack; let me show you how this scam works.
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A seemingly legitimate reporter (in this case, @misterbosquez) asks you to DM them about an article they’re writing related to your recent X posts.
A couple of red flags here: 1, there is no reporter at Bloomberg with that and 2, my DMs are open.
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Roboflow users are already on a >$1M/yr run-rate for Astra auto-label consumption one week in. It seems the people like it and are getting great results!
The way to think about Astra is like a human; its job isn’t to run the same rote task over and over at scale, it’s to study and understand the task to automate it.
Software engineers write code to perform tasks billions of times vs doing those tasks billions of times themselves.
I love Astra BUT
I genuinely get ick whenever people use these models to tokenmaxx on some task they could solve with like 5k tokens using existing CV stack like @huggingface transformers or @roboflow under 200 LoC and low latency (real time)
Astra is now the default model for auto-labeling in @roboflow.
Pro tip: use them to find ways to pay for their own token usage.
We asked Fable to check our cloud billing export against our codebase to find cost savings... and it found a place we were accidentally spamming logs to the tune of over $200k/yr. 🤯
Then it made a webpage touting its finds, including a video presentation of the highlights.
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