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#PixelWatch 3 has a bigger, brighter screen¹ and advanced @Fitbit features² 🔋45mm that gives you 40% more display and a 35% bigger battery¹ 🏃 New Advanced Running for better runs every time ⌚️Take Google on the go with our deepest integration yet #MadeByGoogle

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Made by Google

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25,394 görüntüleme • 1 yıl önce •via X (Twitter)

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Built for every second. #PixelWatch 4 features a first-of-its-kind Actua 360 domed display,¹ scratch-resistant Gorilla® Glass, and water resistance up to 50 meters so you can go from pool time to the finish line with peace of mind:²
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Built for every second. #PixelWatch 4 features a first-of-its-kind Actua 360 domed display,¹ scratch-resistant Gorilla® Glass, and water resistance up to 50 meters so you can go from pool time to the finish line with peace of mind:²

Made by Google

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Zorin OS 17 has arrived – our most advanced version ever 🚀️ It's jam-packed with exciting new features and improvements that take your computer to a whole new level. Download it today: See what's new:
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Zorin OS 17 has arrived – our most advanced version ever 🚀️ It's jam-packed with exciting new features and improvements that take your computer to a whole new level. Download it today: See what's new:

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To print perfect chips, you need the perfect illumination. With our computational lithography tools, chipmakers can optimize the light from their lithography system’s source to produce the sharpest features every time – a must for printing tiny features on advanced microchips.
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To print perfect chips, you need the perfect illumination. With our computational lithography tools, chipmakers can optimize the light from their lithography system’s source to produce the sharpest features every time – a must for printing tiny features on advanced microchips.

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We dropped CMF Watch 3 Pro this week and I’m proud to say it’s our most intelligent smartwatch yet. ♥️ Advanced HR and sleep tracking 👟 Custom Running Coach, AI-powered training plans (8–16 weeks) with post-workout insights ✨ ChatGPT integration ⏺️ Recording transcription, record a meeting and let AI generate notes 🔆 1.43 inch AMOLED display 📱 Supported by our newly redesigned Nothing X app 🔋 13 days of battery life Congratulations to all of the teams who worked tirelessly on this project. We are only half way through 2025 but there is still plenty more to come 👀
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We dropped CMF Watch 3 Pro this week and I’m proud to say it’s our most intelligent smartwatch yet. ♥️ Advanced HR and sleep tracking 👟 Custom Running Coach, AI-powered training plans (8–16 weeks) with post-workout insights ✨ ChatGPT integration ⏺️ Recording transcription, record a meeting and let AI generate notes 🔆 1.43 inch AMOLED display 📱 Supported by our newly redesigned Nothing X app 🔋 13 days of battery life Congratulations to all of the teams who worked tirelessly on this project. We are only half way through 2025 but there is still plenty more to come 👀

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Finally, keep up with the market on the go with the new Google Finance app for Android. You’ll be able to access your watchlist, real-time data, a live financial news feed and the AI research tool — with more features and an iOS app coming soon. Learn more about the new Google Finance →
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Finally, keep up with the market on the go with the new Google Finance app for Android. You’ll be able to access your watchlist, real-time data, a live financial news feed and the AI research tool — with more features and an iOS app coming soon. Learn more about the new Google Finance →

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34,786 görüntüleme • 18 gün önce

New updates for the Public Preview of the Google Home app for Wear OS by Google: 🏡 Access your devices with a simple list view ✅ Control devices that are linked to you and are not yet assigned to a home ⏱ Enjoy faster load times Learn more:
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New updates for the Public Preview of the Google Home app for Wear OS by Google: 🏡 Access your devices with a simple list view ✅ Control devices that are linked to you and are not yet assigned to a home ⏱ Enjoy faster load times Learn more:

Made by Google

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🚨 We’ve launched our new fundraiser 👇 We’ve got HUGE plans for the end of this year, and more lined up for 2026. Every display we put out is built by volunteers and only happens because of your support. Every penny raised goes straight back into displays – nothing else. If you’ve loved what we’ve been able to achieve and have a bit spare, we’d be hugely grateful. The more we raise, the bigger and better we can be. If you want to see us go bigger, better and bolder, get behind us here: ❤️🤍 #ThisIsWearside #SAFC
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🚨 We’ve launched our new fundraiser 👇 We’ve got HUGE plans for the end of this year, and more lined up for 2026. Every display we put out is built by volunteers and only happens because of your support. Every penny raised goes straight back into displays – nothing else. If you’ve loved what we’ve been able to achieve and have a bit spare, we’d be hugely grateful. The more we raise, the bigger and better we can be. If you want to see us go bigger, better and bolder, get behind us here: ❤️🤍 #ThisIsWearside #SAFC

🚩This Is Wearside 🏳️

127,601 görüntüleme • 10 ay önce

You can just do things I used a multimeter for the first time in my life. I experimented with circuits on a breadboard using battery power 🔋 (no Arduino yet) Then I inserted the battery into the meter and tested continuity: The beeping/LED works. Baby steps. Feeling good.
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You can just do things I used a multimeter for the first time in my life. I experimented with circuits on a breadboard using battery power 🔋 (no Arduino yet) Then I inserted the battery into the meter and tested continuity: The beeping/LED works. Baby steps. Feeling good.

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I'm so happy that PhoneBuff mentioned this extremely important fact about battery tests And it's not just Apples internal testing. It's 9/10 battery tests on YouTube. They never touch the screen once which DOES in fact has a huge impact on battery life Every single time you touch your phones screen, it has to ramp up the processor to not just calculate the touch input, it hast to calculate predictably since you may not just be touching, but swiping. And it should continue scrolling once you lift your finger because that makes it feel more natural. And this needs power. Drains power. So a more important touchscreen and software can make a huge difference in battery life. And most battery tests just ignore that entirely. That's why some tests show vastly different results
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I'm so happy that PhoneBuff mentioned this extremely important fact about battery tests And it's not just Apples internal testing. It's 9/10 battery tests on YouTube. They never touch the screen once which DOES in fact has a huge impact on battery life Every single time you touch your phones screen, it has to ramp up the processor to not just calculate the touch input, it hast to calculate predictably since you may not just be touching, but swiping. And it should continue scrolling once you lift your finger because that makes it feel more natural. And this needs power. Drains power. So a more important touchscreen and software can make a huge difference in battery life. And most battery tests just ignore that entirely. That's why some tests show vastly different results

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Mike Johnson says Democrats are pushing communism and marxism. Is this inciting violence? And last I checked, hiding the Epstein files is not inline with our founding principles. "The polices and ideas that are advanced within the Republican Party are right for America because they comport with our founding principles and we stand on those principles to defend them. And by contrast, on the other side of the screen, they are going for communism and marxism. Take a choice."
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Mike Johnson says Democrats are pushing communism and marxism. Is this inciting violence? And last I checked, hiding the Epstein files is not inline with our founding principles. "The polices and ideas that are advanced within the Republican Party are right for America because they comport with our founding principles and we stand on those principles to defend them. And by contrast, on the other side of the screen, they are going for communism and marxism. Take a choice."

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It’s officially our Anniversary! As we commemorate our one year together, two special people wants to greet everyone a Happy Anniversary! Here’s a video greeting from our dearest AshDres! Happy first Anniversary, Keepers! Here’s to more years together! We can’t wait to celebrate more milestones, more success, and more small wins with you all! Like what Ashtine and Andres said on the video, stay strong—they hope to bond with you all soon! On to bigger and brighter things ahead! All for AshDres, keepers for keeps. ASHDRES KeeFIRST ANNIVERSARY

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Basic, Advanced and Expert $MOON with the release of these new recruitment contracts, farmers will now have more options than ever to take their harvest to the next level. To celebrate, we are giving our beta players a ton of contracts. For more details, check out our Telegram! (link in below)

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What an incredible day at #MadeByGoogle! So great to be here in person and feel the excitement for everything our teams have built. The new Pixel phones are a huge milestone, marking a new era of personalization for Android with Material 3 Expressive and bringing a ton of awesome new AI-powered features. It’s a testament to the hard work that went into bringing these to life. Congrats to everyone involved!

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Plan your visit and explore a major NEW exhibit, open to the public through 10/27! It features over a hundred rare artifacts, many from the newly acquired Robert Nittolo Collection, that are on public display for the first time EVER! Click to learn more!
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Plan your visit and explore a major NEW exhibit, open to the public through 10/27! It features over a hundred rare artifacts, many from the newly acquired Robert Nittolo Collection, that are on public display for the first time EVER! Click to learn more!

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🚀 Ready for liftoff? 🆕 You can now trade with up to 100x leverage in Onchain! 🌚Go to the moon with Moonlander 🌕 , an all-new advanced trading platform on : 📲 Trade directly in the Onchain app, anytime, anywhere 🪙 Access 40+ trading pairs 🤑 For a limited time, no fees are charged! Trade Now👇
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🚀 Ready for liftoff? 🆕 You can now trade with up to 100x leverage in Onchain! 🌚Go to the moon with Moonlander 🌕 , an all-new advanced trading platform on : 📲 Trade directly in the Onchain app, anytime, anywhere 🪙 Access 40+ trading pairs 🤑 For a limited time, no fees are charged! Trade Now👇

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SOUTH AFRICA’s 1st PLUG-IN HYBRID BAKKIE HAS FINALLY ARRIVED ‼️ EQUIPPED WITH ADVANCED PLUG-IN TECHNOLOGY, OUTSTANDING OFF-ROAD CAPABILITY AND SMART FEATURES. WHEN THE BATTERY IS SUFFICIENTLY CHARGED, FUEL CONSUMPTION IS IMPRESSIVELY LOW AT ABOUT 4,3L/100km. HAS A 1.5 LITRE PETROL ENGINE COMBINED WITH A 29.6 kWh BATTERY PACK. PEAK SYSTEM OUTPUTS STAND AT 321 kW AND 650 Nm. BYD SHARK 6. PREMIUM. HUNGRY FOR ADVENTURE ‼️ Please “DM”, email me [email protected] or WhatsApp me 071 400 0180, for a senior manager in the group, to assist you with a test-drive off this amazing vehicle ‼️

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We’re ringing in the new year with #ProcreateDreams Quick Tips! Move, scale and rotate your content all at once with Advanced Keyframes 👆✨ 1. Tap and hold on a Move and Scale keyframe until a context menu appears 2. Tap Expand Move and Scale 3. Select your parameter to adjust your movement, scale or rotation 4. Insert custom values Pro tip: Advanced Keyframes are also available for Noise and HSB! Check out to explore more.
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We’re ringing in the new year with #ProcreateDreams Quick Tips! Move, scale and rotate your content all at once with Advanced Keyframes 👆✨ 1. Tap and hold on a Move and Scale keyframe until a context menu appears 2. Tap Expand Move and Scale 3. Select your parameter to adjust your movement, scale or rotation 4. Insert custom values Pro tip: Advanced Keyframes are also available for Noise and HSB! Check out to explore more.

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Full Fine-tuning vs. Freezing Layers. Interact 👉 and == Full Fine-tuning == A real network has many — three layers in this example, billions of parameters in a production model. What does fine-tuning look like when you update all of them? That’s full fine-tuning: continue training every weight in the pretrained network on your new task. Every layer’s W gets its own ΔW. Nothing is frozen — every parameter is in play. Think of an MLP as a chain of prerequisites leading to an advanced course. Layer 1 might be Linear Algebra, layer 2 Probability, layer 3 Advanced Machine Learning — each one building on what came before. Fine-tuning is what happens during graduate study: the foundations are already there from undergrad, so you’re not re-learning. Full fine-tuning is reviewing every prerequisite to see what new topics have appeared and what discoveries the field has made since the last time you sat through them. Effective — but exhausting. This diagram shows the same three-layer MLP twice, side by side. On the left, the pretrained network runs on input X: three weight matrices W₁, W₂, W₃, each followed by a ReLU activation. Full fine-tuning gives the model the most freedom to specialize. Every parameter can move — and every parameter that can move must be stored. But not every prerequisite needs revisiting. The further you go back in the chain, the less the material has changed since pretraining — the linear-algebra basics under your computer-vision course are largely the same as they ever were. The next page does exactly that: freeze the prerequisites that haven’t moved, and only refresh the advanced one closest to your specialization. == Freezing Layers == Full fine-tuning reviewed every prerequisite — Linear Algebra, Probability, Advanced ML — to refresh each subject with the latest topics. Effective, but exhausting. Then you realize something. The prerequisites haven’t actually changed that much. Linear Algebra is still Linear Algebra; the matrix decompositions you learned still hold. Probability is still Probability; the distributions and Bayes’ rule haven’t moved. Almost all the new material — the new ideas, the recent discoveries — lives in the advanced layer at the top. That’s freezing layers: keep the prerequisite layers fixed at their pretrained state, and only update the advanced one. In the diagram below, W1​ and W2​ — the foundational prerequisites — stay frozen. Only W3​ — the layer closest to your task-specific output — gets a ΔW.
0:16

Full Fine-tuning vs. Freezing Layers. Interact 👉 and == Full Fine-tuning == A real network has many — three layers in this example, billions of parameters in a production model. What does fine-tuning look like when you update all of them? That’s full fine-tuning: continue training every weight in the pretrained network on your new task. Every layer’s W gets its own ΔW. Nothing is frozen — every parameter is in play. Think of an MLP as a chain of prerequisites leading to an advanced course. Layer 1 might be Linear Algebra, layer 2 Probability, layer 3 Advanced Machine Learning — each one building on what came before. Fine-tuning is what happens during graduate study: the foundations are already there from undergrad, so you’re not re-learning. Full fine-tuning is reviewing every prerequisite to see what new topics have appeared and what discoveries the field has made since the last time you sat through them. Effective — but exhausting. This diagram shows the same three-layer MLP twice, side by side. On the left, the pretrained network runs on input X: three weight matrices W₁, W₂, W₃, each followed by a ReLU activation. Full fine-tuning gives the model the most freedom to specialize. Every parameter can move — and every parameter that can move must be stored. But not every prerequisite needs revisiting. The further you go back in the chain, the less the material has changed since pretraining — the linear-algebra basics under your computer-vision course are largely the same as they ever were. The next page does exactly that: freeze the prerequisites that haven’t moved, and only refresh the advanced one closest to your specialization. == Freezing Layers == Full fine-tuning reviewed every prerequisite — Linear Algebra, Probability, Advanced ML — to refresh each subject with the latest topics. Effective, but exhausting. Then you realize something. The prerequisites haven’t actually changed that much. Linear Algebra is still Linear Algebra; the matrix decompositions you learned still hold. Probability is still Probability; the distributions and Bayes’ rule haven’t moved. Almost all the new material — the new ideas, the recent discoveries — lives in the advanced layer at the top. That’s freezing layers: keep the prerequisite layers fixed at their pretrained state, and only update the advanced one. In the diagram below, W1​ and W2​ — the foundational prerequisites — stay frozen. Only W3​ — the layer closest to your task-specific output — gets a ΔW.

Tom Yeh

27,225 görüntüleme • 2 ay önce