Steren

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Steren

Steren

@steren

Engineer turned Product Manager @Google ⬣ https://t.co/FQDIl9gUWR founder+lead ⬣ Cloud Carbon Footprint founder

Mountain View, CA Katılım Şubat 2009
1.7K Takip Edilen9.9K Takipçiler
alex
alex@alex38586518346·
@OfficialLoganK allow me to buy a URL and deploy onto my own domain please
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Logan Kilpatrick
Logan Kilpatrick@OfficialLoganK·
Our AI Studio vibe coding roadmap for the new few weeks: - Design mode - Figma integration - Google Workspace integration - Better GitHub support - Planning mode - Immersive UI - Agents - Multiple chats per app - Simplified deploys - G1 support And more, should be fun : )
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Steren
Steren@steren·
@matvelloso Yep. Looking at the numbers. Quest was by far the most successful VR headset.
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Mat Velloso
Mat Velloso@matvelloso·
People giving Meta a hard time about this but honestly? Meta Quest is a great product. Probably the most successful VR product on the market. VR is hard. Still, far more reasonable than Microsoft Teams spending hundreds of engineers to put avatars on the product so you could have a meeting with your manager while looking like a Lego. That was truly mind-boggling.
More Perfect Union@MorePerfectUS

Meta is shutting down its VR metaverse on June 15th.

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Steren
Steren@steren·
It's FINALLY working as I expect: - Open @GeminiApp - Attach a Google doc - Enable Canvas - Prompt: "Create a slide deck for the document" *wait a bit* - Click "Export to Slides" PROFIT.
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Steren
Steren@steren·
New @GoogleAIStudio vibe coding experience just dropped: - New built-in Antigravity coding agent - Add database and user auth - Build full stack apps (including server side Node.js) Example: I created "BlitzDash chess" a multiplayer real-time chess game:
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Google Labs
Google Labs@GoogleLabs·
Introducing the new @stitchbygoogle, Google’s vibe design platform that transforms natural language into high-fidelity designs in one seamless flow. 🎨Create with a smarter design agent: Describe a new business concept or app vision and see it take shape on an AI-native canvas. ⚡️ Iterate quickly: Stitch screens together into interactive prototypes and manage your brand with a portable design system. 🎤 Collaborate with voice: Use hands-free voice interactions to update layouts and explore new variations in real-time. Try it now (Age 18+ only. Currently available in English and in countries where Gemini is supported.) → stitch.withgoogle.com
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Steren
Steren@steren·
AI assited development is seriously addictive.
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Mat Velloso
Mat Velloso@matvelloso·
Two thoughts: 1-This is mind blowing 2-Imagine if you could do this for your whole operating system and the apps in it. Live re-style my OS so all UIs look as if they were made out of steel, wood, glass, cartoon, etc. Just because why not.
NVIDIA GeForce@NVIDIAGeForce

Announcing NVIDIA DLSS 5, an AI-powered breakthrough in visual fidelity for games, coming this fall. DLSS 5 infuses pixels with photorealistic lighting and materials, bridging the gap between rendering and reality. Learn More → nvidia.com/en-us/geforce/…

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Steren
Steren@steren·
Once you start using @antigravity's Agent Manager for real, you won't go back to IDE. This is the UI for agent assisted development.
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Steren
Steren@steren·
@OfficialLoganK 𝚌𝚕/𝚊:𝚕𝚔𝚒𝚕𝚙𝚊𝚝𝚛𝚒𝚌𝚔
GIF
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Logan Kilpatrick
Logan Kilpatrick@OfficialLoganK·
Spent all day vibe coding, fixing bugs in AI Studio, and polishing the experience :) So much fun!
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Mark Gadala-Maria
Mark Gadala-Maria@markgadala·
This is wild. 143 million people thought they were catching Pokémon. They were actually building one of the largest real-world visual datasets in AI history. Niantic just disclosed that photos and AR scans collected through Pokémon Go have produced a dataset of over 30 billion real-world images. The company is now using that data to power visual navigation AI for delivery robots. Players didn't just walk around with their phones. They scanned landmarks, storefronts, parks, and sidewalks from every angle, at every time of day, in lighting and weather conditions that staged photography would never capture. They documented the physical world at a scale no mapping company with a fleet of vehicles could have replicated on the same timeline or budget. Niantic collected this systematically, data point by data point, across eight years, while users thought the only thing at stake was catching a rare Charizard. The most valuable AI training datasets in the world aren't being assembled in data centers. They're being built by people who have no idea they're building them.
NewsForce@Newsforce

POKÉMON GO PLAYERS TRAINED 30 BILLION IMAGE AI MAP Niantic says photos and scans collected through Pokémon Go and its AR apps have produced a massive dataset of more than 30 billion real-world images. The company is now using that data to power visual navigation for delivery robots, letting them identify exact locations on city streets without relying on GPS. Source: NewsForce

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Steren
Steren@steren·
@GoogleAIStudio Sending code changes to improve the `gcloud run` developer experience
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Google AI Studio
Google AI Studio@GoogleAIStudio·
What are you vibe coding this weekend?
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Steren
Steren@steren·
I love introducing kids or adults to @ElectricityMaps and let them draw their conclusions.
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Steren
Steren@steren·
@dhh The lost decade of web frontend
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Theo - t3.gg
Theo - t3.gg@theo·
If you recognize this image, I hope you enjoy your upcoming retirement
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Kris Kashtanova
Kris Kashtanova@icreatelife·
🎉 We just released Rotate Object in Photoshop (beta) 🎉 You can now rotate 2D images! 🤯 Then use Harmonize to add light and shadows, to blend it perfectly with the rest of the scene. It's like Turntable in Illustrator, but instead of vectors, it's pixels in Photoshop!
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