Danny Ackerman retweeté
Danny Ackerman
8.9K posts
Danny Ackerman
@dannyackerman
Strategic Cloud Engineer at Google. Political thinker. Electronics tinkerer. Programmer.
New York, USA Inscrit le Haziran 2009
950 Abonnements360 Abonnés
Danny Ackerman retweeté
I don’t usually share things like this, but I think it’s important to be honest.
I’ve been looking for a full-time role since September.
I’m a senior iOS engineer + product designer with 10+ years experience, and I’ve spent that time building and shipping real products (most recently: @ateiq_app, @naturalis_app, @getuppapp).
Despite interviews and ongoing work, I’m now about a month away from needing something stable for my family.
If you know a team that values someone who can both design and build, I’d really appreciate an introduction.
Thank you! ❤️
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@MaziyarPanahi I'm on a Mac Studio M1 Max, 32GB RAM, running the code from the perception_single_mlx.py demo on an image of a parking lot from overhead with a bunch of cars, and when doing segmentation (vs detection), it's taking about two minutes to complete. Is that expected? Thanks!
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One frame. 150+ detections. 0.6B parameters. This model can do AMAZING stuff! 🔥
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Jets. Helicopters. Wildfire. Traffic. Crowds.
Falcon Perception. 0.6B parameters. "Find every person." It finds every person. "Find the fire." It finds the fire.
+21.9 over SAM 3 on spatial understanding. Running locally via MLX. No cloud.
What should I throw at it next?
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@dannyackerman We do have an mlx backend in our official repository
github.com/tiiuae/falcon-…
You should get the same results as the playground
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We are releasing Falcon Perception, an open-vocabulary referring expression segmentation model. Along with it, a 0.3B OCR model that is on par with 3-10x larger competitors.
Current systems solve this with complex pipelines (separate encoders, late fusion, matching algorithms). We developed a novel simpler "bitter" approach: one early-fusion Transformer (image + text from first layer) with a shared parameter space, and let scale + training signal do the work. Please check our work !
📄 Paper: arxiv.org/pdf/2603.27365
💻 Code: github.com/tiiuae/falcon-…
🎮 Playground: vision.falcon.aidrc.tii.ae
🤗 Blogpost: huggingface.co/blog/tiiuae/fa…
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@Stone_Tao I get over that feeling with lots, and lots, and lots of tests (that the LLM writes 🤔)
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genuine question. how do you debug code and ensure good quality when coding models spit out 1000s of lines
i still cannot feel comfortable not understanding what every generated line does, reducing the productivity gains coding models should be giving me
Noah@NoahKingJr
Vibe coders debugging an app they built with Claude Code:
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I showed you SAM 3 all week. This is a 0.6B model that outperforms it.
Falcon Perception. Type "detect the plane" and it segments every plane in the frame. Pixel-accurate masks from natural language.
Fighter jets. Fire. Crowds. All on a MacBook via MLX. No cloud.
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@elonmusk Yes, but we've never had elevators that might get crashed into by other elevators operated by drunk people.
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Elevators used to be manually operated and were especially risky if the operator was tired or inebriated.
Now, you just get in, press a button and a modern elevator, if inspected regularly, is extremely safe.
James Stephenson@ICannot_Enough
Nobody is skeptical of autonomous elevators because nobody alive today was even around to see a human elevator operator in real life before the last one got laid off. Automation is far safer.
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Danny Ackerman retweeté
This guy rage coded a $199 app in less than an hour and cooked the OP.
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Danny Ackerman retweeté
Your one-minute clock starts now.
Prompt 1 to Grok: "Review the video in the post. Create a detailed project requirements document to exactly recreate the app in the video" - about 15 seconds of typing
Prompt 2 to Claude Code: "Go into planning mode and create a detailed plan to implement the app described in the attached PRD" - about 15 seconds of typing. Although I did have to come back and type "1" to give it permission to execute the plan.
Prompt 3 to Claude Code: "Push this to a public repo." - about 5 seconds of typing
All coding about 60 seconds of my time. The longest part was trying to figure out how to screen capture a video with system audio. That flummoxed me for three to four minutes.
github.com/magnum6actual/…
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@CFDevelop Don’t use it within vs code. Use the desktop app.
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I am so sick of Claude Code looking like it's doing something, and then I find out it's just crashed and I have to restart the vscode extension and the conversation is gone. Drives me nuts and wastes tonnes of time
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@RandalSchwartz Glad to hear it went well! Hope you’re doing well and continue to improve!
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My cardiac surgery Friday to fix my Atrial Flutter (via ablation) seems to have done well. My resting heart rate is back to the mid-50s without any medical push. I've had two decent nights of sleep, and drove today. Hooray for modern medicine!
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@HuggingModels @grok what kind of hardware do you need to run this model?
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Meet dots.ocr-1.5, a new vision-language model that's changing how we extract text from images. It doesn't just read text, it understands document layouts, tables, and even formulas. This is OCR on steroids, and the community is buzzing about its potential.
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@ModernTreasury Is there a minimum monthly transaction volume required? Any monthly fee? Or is it completely pay as you go per transaction? Can a small business use this to pay bills to vendors via ACH (using an API)?
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Breaking: there’s a new way to move money!
Today, we’re launching Payments, our integrated payment service provider (PSP) built to let teams move money easier than ever.
For too long, teams building payment products have had to juggle fragmented vendors, slow bank integrations, evolving regulations, and infrastructure that needs to be rebuilt every time a new rail appears.
Payments changes that.
With one API, teams can:
- Go live in days, not 6-12 months
- Move money across ACH, wires, cards, RTP, FedNow, and stablecoins as first-class rails
- Build with confidence, using built-in KYC/KYB and transaction monitoring
- Scale forever by starting with our PSP and plugging in more banking partners overtime, without re-integrating
All powered by the same orchestration, ledgering, and reconciliation software that’s already processed $400B+ in payments, with 99.99% uptime and 99% CSAT over the last six months.
Our goal is simple: to be the forever payments platform for teams of all sizes, wherever they are on their journey.
Ready to build payments products faster and scale without limits? Visit go.moderntreasury.com/4tZthxd to get started.
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