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Drilled by somebody's dad💦🤤 PT.3/final part ft. 🚾Alterverse 📸: PAPs 🇵🇭 (PH Alter Productions) 🎥 full videos on my jff: subscribe on my tg channel:

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EntengQt✨

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My fox shooting garden defending AI robot is finally done and WORKING! 🤩 (Don’t worry it only shoots 💦 water) After months of slowly moving forward with each part I finished the last step to train a TensorFlow model on the footage of the 🦊 fox I collected hours of footage 📹 with the fox roaming around my garden, from this I labeled around 2000 images with the fox by hand ✋ Honestly, I was quite skeptical training the model was actually gonna work, maybe this was partly the reason I avoided working on this until the very end. If I couldn’t train a model to detect the fox, this whole robot would never be able to function properly. On the flipside though, with no previous experience in hardware or electronics there was a bit of a learning curve and I didn’t want to end up labeling thousands of images, training a TensorFlow model, only to fail on building the hardware. As I started building, I realized that mixing hardware and software adds quite another dimension to debugging things. At times I wasted hours debugging code in my IDE, only to realize the issue was somewhere in the electronics. Furthermore, combining this side project with a full time job and a young family, is not always easy. It can be quite frustrating, to know you only need 4 hours of concentrated effort for a small task, having to spread it out across a week of 20min increments. Then, a few months into the build I noticed the fox had stopped coming to my garden, in fact one day, I recorded her walking with 3 cute little 🐶 pups, and the next day I saw her moving out of my garden completely. Did she know I was building a robot? I had this strange mix of feelings, happy my garden was safe from poop and digging, happy she was safe with her pups, but how was I gonna finish this project if my robot had no fox to detect? For sure they would be back next year, I figured I could postpone the whole thing until next winter, but I also knew it was gonna be much harder to pick up momentum if I did let it sit there for six months. So I decided to keep working, hoping the fox would reappear,.. but she never did. As I finished labeling the footage and started training my model, I could finally see the mAP results, quantifying the precision of my object detection model. It was measuring at 78% across different metrics on detecting my fox. I quickly ran the model on some of the video footage I got from my fox. Inference speed took a hit, but it did a near perfect job detecting the fox, even when she was deep down in the grass or wizzing past in a motion blur. It took me by surprise how well it worked. With the default model I had to drop my confidence threshold way down to 15%, to recognize the fox as 🦜“bird” in one or two frames, with my custom model it followed the fox all the way down to the back of the garden! Still this didn’t solve the issue of there being no actual fox in my garden and how was I gonna wrap this project in a short timeframe. I played with the idea of putting a fox toy 🧸 on an RC 🚗 car, or borrowing a dog to run around the garden to test. Friends suggested I run around the garden in a fox costume.. what a ridiculous idea. I wasn’t really feeling the idea of running around the garden in a floppy cloth fox 🎭 costume, but had a look anyway. I came across these self inflating costumes. This actually could be perfect. Since it’s inflated, it would hold its shape super well, making it much easier to label, train and be recognized by my robot. So I got the costume and shot a time lapse of myself as a fox walking around the garden. I labeled it to around 600 images. Ran the model training again and got a mAP result of 82%. This was even better than my real fox! At this point I knew this was gonna work. So here’s the final 🎥 video, just having some fun with it. I’ll update here whenever the real fox does come back. On a final note, I’m looking for (remote) jobs in these fields of AI now: - object detection - visual generative AI - 3D (nerfs + gaussian splats) So if you know anything let me know! My DMs are open 😊

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Full-Time Work, Real Pay Raises: How Trump Quietly Rebuilt the Job Market | E.J. Antoni “America’s Job Market Has Entered the Slow Lane”—that was a recent Wall Street Journal headline. Most of the mainstream media echoes this interpretation, but the reality is much better than the headlines suggest. In fact, it’s as if the reporters who wrote those headlines didn’t read beyond the headline of the jobs report. Here’s what the Dec. 2025 jobs report actually showed: ✅People working multiple part-time jobs exchanged them for single full-time jobs in December. ✅During nearly the entire final year of the Biden admin, annual native-born employment was in the red. In 2025, native-born employment beat foreign-born employment by over 1.6 million. ✅The federal workforce is the smallest it’s been since 2014. “So, despite all the naysayers, Trump’s first year back at the helm saw a labor market undergo badly needed structural changes that are making Americans better off… If we keep up with tax reform, regulatory reform, and energy reform, economic growth will turn into a rocket sled on rails," argues Heritage Foundation Chief Economist E.J. Antoni, Ph.D. on his latest video commentary with The Daily Signal. (00:00) Introduction: Trump's Economic Impact (00:50) Media Misinterpretation of Job Market (01:10) Positive Employment Data (03:07) Shift from Part-Time to Full-Time Jobs (05:07) Private Sector Job Growth (06:01) Manufacturing Sector Trends (07:00) Wage Growth and Inflation (07:40) Conclusion: Economic Optimism For more videos like this, subscribe to The Daily Signal’s YouTube channel and enable notifications to be alerted the second a new video drops: ⁠ ⁠
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Full-Time Work, Real Pay Raises: How Trump Quietly Rebuilt the Job Market | E.J. Antoni “America’s Job Market Has Entered the Slow Lane”—that was a recent Wall Street Journal headline. Most of the mainstream media echoes this interpretation, but the reality is much better than the headlines suggest. In fact, it’s as if the reporters who wrote those headlines didn’t read beyond the headline of the jobs report. Here’s what the Dec. 2025 jobs report actually showed: ✅People working multiple part-time jobs exchanged them for single full-time jobs in December. ✅During nearly the entire final year of the Biden admin, annual native-born employment was in the red. In 2025, native-born employment beat foreign-born employment by over 1.6 million. ✅The federal workforce is the smallest it’s been since 2014. “So, despite all the naysayers, Trump’s first year back at the helm saw a labor market undergo badly needed structural changes that are making Americans better off… If we keep up with tax reform, regulatory reform, and energy reform, economic growth will turn into a rocket sled on rails," argues Heritage Foundation Chief Economist E.J. Antoni, Ph.D. on his latest video commentary with The Daily Signal. (00:00) Introduction: Trump's Economic Impact (00:50) Media Misinterpretation of Job Market (01:10) Positive Employment Data (03:07) Shift from Part-Time to Full-Time Jobs (05:07) Private Sector Job Growth (06:01) Manufacturing Sector Trends (07:00) Wage Growth and Inflation (07:40) Conclusion: Economic Optimism For more videos like this, subscribe to The Daily Signal’s YouTube channel and enable notifications to be alerted the second a new video drops: ⁠ ⁠

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