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Introducing Vibe Coding XR, a new rapid prototyping workflow that empowers Gemini Canvas w/ the XR Blocks framework to turn user prompts into interactive, physics-aware WebXR applications, allowing creators to quickly test intelligent spatial experiences →

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228,294 次观看 • 6 个月前 •via X (Twitter)

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📢Introducing Generated Reality📢 A world model for XR that turns your tracked hand and head poses into an interactive, generative video experience. Take world models to the next level by interacting with the world using your own body! 🔗 1/4

📢Introducing Generated Reality📢 A world model for XR that turns your tracked hand and head poses into an interactive, generative video experience. Take world models to the next level by interacting with the world using your own body! 🔗 1/4

Gordon Wetzstein

20,470 次观看 • 7 个月前

To build the next major leap in spatial computing, you can't rely on standard hardware architecture. That’s why we partnered with Snapdragon. We are incredibly proud to announce that the new XREAL AURA is the world’s first device powered by the new Snapdragon Reality Elite platform. To deliver an industry-leading 70° FOV and real-time processing, we utilized a revolutionary split-compute dual-chip architecture. By pairing the Snapdragon Reality Elite with XREAL’s custom X1S co-processor, we efficiently distribute the processing load. The X1S handles sensor fusion and spatial mapping at the edge, freeing the Snapdragon chip to run Android XR and GeminiI at absolute maximum performance without thermal throttling. The result? The most immersive XR experience ever engineered into a portable form factor. At just under 95g, you get the performance of a high-end spatial computer in a glasses form factor you can actually wear all day. Secure your spot in the next generation of XR: Reserve the XREAL AURA now for USD 99 and receive a USD 199 credit toward your final purchase at launch. 🔗 Reserve Yours Now:

To build the next major leap in spatial computing, you can't rely on standard hardware architecture. That’s why we partnered with Snapdragon. We are incredibly proud to announce that the new XREAL AURA is the world’s first device powered by the new Snapdragon Reality Elite platform. To deliver an industry-leading 70° FOV and real-time processing, we utilized a revolutionary split-compute dual-chip architecture. By pairing the Snapdragon Reality Elite with XREAL’s custom X1S co-processor, we efficiently distribute the processing load. The X1S handles sensor fusion and spatial mapping at the edge, freeing the Snapdragon chip to run Android XR and GeminiI at absolute maximum performance without thermal throttling. The result? The most immersive XR experience ever engineered into a portable form factor. At just under 95g, you get the performance of a high-end spatial computer in a glasses form factor you can actually wear all day. Secure your spot in the next generation of XR: Reserve the XREAL AURA now for USD 99 and receive a USD 199 credit toward your final purchase at launch. 🔗 Reserve Yours Now:

XREAL 👓

21,125 次观看 • 3 个月前

Introducing A library of interactive UI blocks you can explore, tune, bench, and take into your own projects. Started as a spare-time experiment to see what happens when my design thinking and style meet Claude, pushing further into interactions, components, and the details that make interfaces feel good. Then it became something worth building properly. New blocks every week. More to come. Excited for this 🐐🔥

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Lorenzo Cabra

202,910 次观看 • 28 天前

Made a quick haptic feedback prototype for hand-tracking interactions with a voxel. Felt fun and engaging. It's another level of immersiveness (unfortunately, the video is not able to convey this). Visual design alone can make an interactive experience great, but if you want to make it exceptional, DIFFERENT, this is where haptic design plays the key role. The device on my wrist is from the Hapticlabs.io Prototyping Kit (the thing on my index fingertip is called Linear Resonant Actuator). It's a beautiful, simple-to-use tool. Found a good case for it in my experiments :) To get hand-tracking data, I used the Leap Motion controller (Computer Vision Camera), which is excellent for quick prototypes like this. I saw people experimenting with gloves to build a solid haptic feedback system for XR. It's great for advanced immersive experiences (video games/simulators/interactive entertainment). But for many day-to-day use cases (productivity/OS/media entertainment), having just a "simple" thimble that provides the haptic feedback for the "touching" fingertip will already significantly improve the UX. Hope we will have something like this from our major XR vendors in the near future.

Made a quick haptic feedback prototype for hand-tracking interactions with a voxel. Felt fun and engaging. It's another level of immersiveness (unfortunately, the video is not able to convey this). Visual design alone can make an interactive experience great, but if you want to make it exceptional, DIFFERENT, this is where haptic design plays the key role. The device on my wrist is from the Hapticlabs.io Prototyping Kit (the thing on my index fingertip is called Linear Resonant Actuator). It's a beautiful, simple-to-use tool. Found a good case for it in my experiments :) To get hand-tracking data, I used the Leap Motion controller (Computer Vision Camera), which is excellent for quick prototypes like this. I saw people experimenting with gloves to build a solid haptic feedback system for XR. It's great for advanced immersive experiences (video games/simulators/interactive entertainment). But for many day-to-day use cases (productivity/OS/media entertainment), having just a "simple" thimble that provides the haptic feedback for the "touching" fingertip will already significantly improve the UX. Hope we will have something like this from our major XR vendors in the near future.

Oleg Frolov

35,579 次观看 • 10 个月前

If I had 60 days to make my first $10k online, this is exactly what I’d do. not dropshipping. not SMMA. not copywriting. i’d combine Claude, Gemini Omni, and affiliate marketing. here’s the workflow: → find a high-converting eCommerce offer on Glitchy → use Claude to write a script around the product’s biggest pain point → turn that script into an animated AI ad with Gemini Omni → test multiple hooks organically on TikTok → scale the winners. the biggest advantage isn’t that Gemini Omni makes incredible videos. it’s that it makes AI ad creation cheap enough for beginners to compete. when creating ads costs almost nothing, testing becomes your unfair advantage. rt + comment “omni” and i’ll send you the exact workflow. (must be following for dm)

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Bruno

23,367 次观看 • 2 个月前

That dog in your photo? He's got something to say. 🐶 Turn your images into eight-second video clips with sound effects and speech in the Google Gemini and Flow from Google Labs. This feature uses Veo 3 to generate motion that reflects real world physics and includes a new experimental audio capability so you can really bring your images to life. Try it at and

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Google AI

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Introducing WELLAIOS: A revolutionary Open source AI Agent development framework and launchpad on Solana WELLAIOS empowers you to create, tokenize, and trade advanced AI agents on the Solana blockchain. Built by our team of AI professionals, our platform combines a sophisticated open-source framework with multi-modal AI technology, bringing character creation and storytelling to life without having to write a single line of code. Create intelligent digital characters that evolve, interact, and generate content through our library of AI agents. Each character becomes a unique asset equipped with a large set of AI tools on the Solana blockchain. For developers and creators: Join our thriving ecosystem where innovation meets rewards. Build plugins, contribute to our open-source framework, and earn as your creations shape the future. 👀 Sneak Peek: Watch our 3D AI agent capabilities showcase for content creation. Coming soon to Solana. Follow us on X for exclusive updates and be part of the revolution.

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WELL3

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ALCHEMIST AI 🔮

39,055 次观看 • 1 年前

How a 22-year-old developer built a full 3D Jet Ski racing game in just 40 minutes with zero manual coding He used Claude Opus 5 to generate physics, WebGL 3D graphics, HUD, and audio in a single prompt and turned single-prompt gamedev into a high-margin income stream. Costs: $423 He launched a single-prompt generation workflow that built the entire HTML5 project from scratch: Top layer: A Three.js and WebGL rendering pipeline dynamically creates 3D water physics, real-time wave dynamics, dynamic lighting, and jet ski fluid mechanics, all written autonomously inside one output file without external frameworks. Bottom layer: The Claude Opus 5 engine processed a massive 690-million-token context window to generate the complete gameplay logic, collision handling, dynamic sound generation, controls, and UI layout directly from a detailed initial system prompt. The trend of single-prompt 3D game creation is rapidly exploding across media and indie development. The author monetizes this tech stack through three main channels: 1. Viral Content & Media Systems: Short-form breakdown videos driving massive reach, monetized via promo placements, prompt-pack access, and private developer communities. 2. Rapid Hypercasual Prototyping: Testing 10+ WebGL mechanics per day, flipping fully functional browser games on itch io or CodeCanyon, and licensing prototypes directly to casual game portals. 3. Interactive WebGL Client Solutions: Delivering custom 3D promotional browser games and interactive brand experiences for clients in 48 hours instead of weeks. First month results: > WebGL games generated: 24 > Viral impressions generated: 3.8M+ > Total revenue across licensing & content: $21,400 The AI completely automated the core development lifecycle: Claude Opus 5 built the physics engine, rendered 3D graphics in WebGL, hooked up audio controllers, and generated interactive browser logic with zero manual line-by-line coding. Bookmark it and check article 👇

Ridark

11,592 次观看 • 2 个月前

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Waymo has just introduced its new Ojai robotaxi to its fleets in Los Angeles, Phoenix, and San Francisco, and it’s now available to all public riders. The vehicle uses Waymo's new 6th-gen tech: • 13 cameras • 6 radars • 4 LiDARs • Heaters, wipers and sprayers for sensors to keep them clean Waymo: "With a low step and completely flat floor making it easier to get in and out, the space opens up like a living room on wheels. Three large LED screens offer a ride that is yours to customize, from temperature to tunes. The Ojai integrates accessibility directly into the vehicle’s DNA. We’ve prioritized subtle touches that are there when you need them. From embedded braille and screen-reader compatibility to a seat-integrated handle for extra support when entering or exiting. A new in-car interface using Gemini enhances every journey. Gemini in Waymo empowers riders with cabin controls, journey information, Waymo education, and everyday knowledge at the touch of a button. Press the Gemini icon on the screen to personalize your ride and learn about the world around you. Feeling warm? Tell Gemini in Waymo to “turn the A/C to 65.” Want to explore the neighborhood? Ask “where is the best coffee shop nearby?” or “what’s the history of that monument?”

Sawyer Merritt

206,641 次观看 • 1 个月前

$0 creator shoots are becoming the new ugc testing floor seedance 2.0 makes this “yapping” format way easier to scale not because every video has to look perfect because every video can feel like a different creator talking to the same buyer same script different face different hook different setting different tone different objection that’s how you turn one product into 40 creator-style tests without waiting on creators beauty angle fitness angle student angle founder angle customer rant angle problem-aware demo angle the winner isn’t always the best video it’s usually the one that feels most native to the buyer rt + comment "yapflow" and i’ll send you the seedance ai ugc workflow (follow for dm)

$0 creator shoots are becoming the new ugc testing floor seedance 2.0 makes this “yapping” format way easier to scale not because every video has to look perfect because every video can feel like a different creator talking to the same buyer same script different face different hook different setting different tone different objection that’s how you turn one product into 40 creator-style tests without waiting on creators beauty angle fitness angle student angle founder angle customer rant angle problem-aware demo angle the winner isn’t always the best video it’s usually the one that feels most native to the buyer rt + comment "yapflow" and i’ll send you the seedance ai ugc workflow (follow for dm)

Florin

10,421 次观看 • 4 个月前

Growing Sl8 Means Growing Its Community Our work on expanding Sl8 never stops. One of the key priorities for Cassator is continuously bringing new users and new creators into the ecosystem - not through isolated campaigns, but by building long-term relationships with influencers, communities, and partners across different markets. Today, Sl8 is already supported by a growing number of influencers from different countries and across multiple social platforms. This gives us a strong foundation to keep expanding our reach, strengthening awareness around the platform, and introducing Sl8 to new audiences. One of the markets currently in active development is the GCC region, where we are now significantly scaling our presence. We are preparing a large-scale creator campaign focused on bringing new audiences into Sl8, and 48 influencers have already agreed to work with us as part of this expansion. At the same time, negotiations continue with a much broader pool of creators across the region. Our approach is to enter each new market through relevant local creators and communities, building awareness around Sl8 and converting that attention into a growing, engaged user base. The expansion process continues to gain momentum, with new creators, partnerships, and markets joining the Sl8 ecosystem step by step.

Growing Sl8 Means Growing Its Community Our work on expanding Sl8 never stops. One of the key priorities for Cassator is continuously bringing new users and new creators into the ecosystem - not through isolated campaigns, but by building long-term relationships with influencers, communities, and partners across different markets. Today, Sl8 is already supported by a growing number of influencers from different countries and across multiple social platforms. This gives us a strong foundation to keep expanding our reach, strengthening awareness around the platform, and introducing Sl8 to new audiences. One of the markets currently in active development is the GCC region, where we are now significantly scaling our presence. We are preparing a large-scale creator campaign focused on bringing new audiences into Sl8, and 48 influencers have already agreed to work with us as part of this expansion. At the same time, negotiations continue with a much broader pool of creators across the region. Our approach is to enter each new market through relevant local creators and communities, building awareness around Sl8 and converting that attention into a growing, engaged user base. The expansion process continues to gain momentum, with new creators, partnerships, and markets joining the Sl8 ecosystem step by step.

Cassator Corp.

22,698 次观看 • 1 个月前

Gemini Omni's motion control is f*cking cracked i just figured out how to turn 1 reference video into 50+ AI videos with the exact same movements... you have a video of someone eating, dancing, using a product, doing whatever complex motion you need. you feed it to Gemini Omni and it recreates that exact motion with a completely new AI character in literally one prompt i've tested this against Kling motion control and it's not even close. Kling falls apart the moment you try anything complex. eating scenes look weird, hand movements get mangled, anything multi-step breaks down completely. Gemini Omni handles all of it if you're still using kling motion control or paying creators to split test your videos, this replaces that entire workflow here's the thing though. you can't just prompt this out of the box. if you try to do motion transfer with default prompting you're going to get errors or the motion won't transfer properly. there's a specific prompting method that makes it work every time so i packaged up the whole system.. here's what you're getting: > full step by step video breakdown > how to find the best reference videos to use > the exact prompting system that allows for motion control transfer so you never get errors > the workflow for batching this out at scale (1 video → 50+) RT + reply "MOTION" and i'll send it over (must follow so i can dm)

Gemini Omni's motion control is f*cking cracked i just figured out how to turn 1 reference video into 50+ AI videos with the exact same movements... you have a video of someone eating, dancing, using a product, doing whatever complex motion you need. you feed it to Gemini Omni and it recreates that exact motion with a completely new AI character in literally one prompt i've tested this against Kling motion control and it's not even close. Kling falls apart the moment you try anything complex. eating scenes look weird, hand movements get mangled, anything multi-step breaks down completely. Gemini Omni handles all of it if you're still using kling motion control or paying creators to split test your videos, this replaces that entire workflow here's the thing though. you can't just prompt this out of the box. if you try to do motion transfer with default prompting you're going to get errors or the motion won't transfer properly. there's a specific prompting method that makes it work every time so i packaged up the whole system.. here's what you're getting: > full step by step video breakdown > how to find the best reference videos to use > the exact prompting system that allows for motion control transfer so you never get errors > the workflow for batching this out at scale (1 video → 50+) RT + reply "MOTION" and i'll send it over (must follow so i can dm)

Miko

62,362 次观看 • 2 个月前

Grok 4.5 reached GPT-5.6 Sol level across 3 browser physics demos for free. Prompts were for robot combat, hydraulic pressing, and a canyon-jumping truck. Test was done on atomic chat (atomic.chat), a desktop app that runs LLMs locally. Each answer had to package rendering and physics inside self-contained HTML5 canvas code. These tasks force generated JavaScript to draw frames, apply gravity, detect collisions, and manage controls. Outputs: GPT-5.6 Sol: 12.9K tokens, $0.51 (~7 min) Grok 4.5: 10.8K tokens, $0 (~5 min) Muse Spark 1.1: 26.8K tokens, $0.12 (~7.5 min) GLM 5.2: 10.9K tokens, $0.02 (~12 min) Physics demos expose a weakness that ordinary coding benchmarks often hide: a model can spend more tokens describing a richer scene while still failing the hard part, which is maintaining force, momentum, collision timing, and believable object behavior across frames. (Note, Grok 4.5 is currently free only through Grok Build and Cursor)

Grok 4.5 reached GPT-5.6 Sol level across 3 browser physics demos for free. Prompts were for robot combat, hydraulic pressing, and a canyon-jumping truck. Test was done on atomic chat (atomic.chat), a desktop app that runs LLMs locally. Each answer had to package rendering and physics inside self-contained HTML5 canvas code. These tasks force generated JavaScript to draw frames, apply gravity, detect collisions, and manage controls. Outputs: GPT-5.6 Sol: 12.9K tokens, $0.51 (~7 min) Grok 4.5: 10.8K tokens, $0 (~5 min) Muse Spark 1.1: 26.8K tokens, $0.12 (~7.5 min) GLM 5.2: 10.9K tokens, $0.02 (~12 min) Physics demos expose a weakness that ordinary coding benchmarks often hide: a model can spend more tokens describing a richer scene while still failing the hard part, which is maintaining force, momentum, collision timing, and believable object behavior across frames. (Note, Grok 4.5 is currently free only through Grok Build and Cursor)

Rohan Paul

19,701 次观看 • 3 个月前

SpaceXAI just released a new update for Grok Build. Update to v1.0.11 Features: • Headless sessions are now browsable in the resume picker without mixing into default history. • Default permission mode for new interactive sessions is now configurable. • Turn duration now appears in session history after resume. • Turn footers (Worked for, cancelled, failed) now appear after /resume. • mkdir and touch no longer prompt in auto mode or safe-command lists. • Subagent messages are now allowed automatically in permission Auto mode. • Headless sessions can now auto-allow permission prompts via a startup hint. Bug Fixes: • Permission prompts for common command chains and subcommands are now more reliable. • Blocked prompts no longer appear in conversation history or scrollback after restart. • Background monitors no longer have a 10-hour default timeout. • Mouse input at the right margin no longer types characters into the prompt on certain terminals. • Pasting text ending in a newline no longer accidentally submits the prompt on some terminals. • Auto mode now shows a permission card when the classifier blocks an action on interactive sessions. • Image previews no longer leave ghost artifacts when using the Kitty protocol on Warp. • Expanded Execute tool output no longer snaps closed during live progress. • /voice now falls back to parec/arecord on older PipeWire installs. Performance: • Background command waits now finish as soon as the process exits. Download Grok Build: Update to the latest Alpha release: grok update --alpha Update to the latest Stable release: grok update

SpaceXAI just released a new update for Grok Build. Update to v1.0.11 Features: • Headless sessions are now browsable in the resume picker without mixing into default history. • Default permission mode for new interactive sessions is now configurable. • Turn duration now appears in session history after resume. • Turn footers (Worked for, cancelled, failed) now appear after /resume. • mkdir and touch no longer prompt in auto mode or safe-command lists. • Subagent messages are now allowed automatically in permission Auto mode. • Headless sessions can now auto-allow permission prompts via a startup hint. Bug Fixes: • Permission prompts for common command chains and subcommands are now more reliable. • Blocked prompts no longer appear in conversation history or scrollback after restart. • Background monitors no longer have a 10-hour default timeout. • Mouse input at the right margin no longer types characters into the prompt on certain terminals. • Pasting text ending in a newline no longer accidentally submits the prompt on some terminals. • Auto mode now shows a permission card when the classifier blocks an action on interactive sessions. • Image previews no longer leave ghost artifacts when using the Kitty protocol on Warp. • Expanded Execute tool output no longer snaps closed during live progress. • /voice now falls back to parec/arecord on older PipeWire installs. Performance: • Background command waits now finish as soon as the process exits. Download Grok Build: Update to the latest Alpha release: grok update --alpha Update to the latest Stable release: grok update

DogeDesigner

49,666 次观看 • 1 个月前

Today marks General Availability of AgentCore, a set of infrastructure building blocks for developers and companies to build secure, scalable agents. When we first started AWS, the vast majority of developers were spending most of their time on the undifferentiated heavy lifting of infrastructure instead of what differentiated their feature. So, we solved that problem by building primitive building blocks like compute and storage and database that would allow teammates and customers to quickly build and deploy new experiences without having to reinvent the wheel each time. We realized the same thing was happening with AI agents. It's too difficult and it's slowing customers down. That's why we created AgentCore, a set of services to build, deploy, and operate highly capable agents using any framework or model, with enterprise-grade security and scalability. These building blocks (like serverless secure runtime, memory, observability, a gateway that does MCP translation, etc) help customers tackle some of the biggest challenges of going from prototype to production, much more quickly, securely, and scalably. AgentCore has been in preview for several weeks, and customers have been quite excited about it. The AgentCore SDK has already been downloaded over a million times and we're seeing transformative results, such as Cohere Health expecting to reduce medical review times by 30-40% in highly regulated healthcare, and teams at Cox Automotive and Experian are embracing its flexibility to deploy and operate agents at scale. Inside Amazon, our Amazon Devices Operations & Supply Chain team is using AgentCore to develop an agentic manufacturing approach where AI agents work together to automate manual processes – turning what used to be days of engineering time into processes that take under an hour with high precision. Just like AWS changed how companies build and scale applications, we believe AgentCore will do the same for AI agents, enabling the next generation of innovation.

Today marks General Availability of AgentCore, a set of infrastructure building blocks for developers and companies to build secure, scalable agents. When we first started AWS, the vast majority of developers were spending most of their time on the undifferentiated heavy lifting of infrastructure instead of what differentiated their feature. So, we solved that problem by building primitive building blocks like compute and storage and database that would allow teammates and customers to quickly build and deploy new experiences without having to reinvent the wheel each time. We realized the same thing was happening with AI agents. It's too difficult and it's slowing customers down. That's why we created AgentCore, a set of services to build, deploy, and operate highly capable agents using any framework or model, with enterprise-grade security and scalability. These building blocks (like serverless secure runtime, memory, observability, a gateway that does MCP translation, etc) help customers tackle some of the biggest challenges of going from prototype to production, much more quickly, securely, and scalably. AgentCore has been in preview for several weeks, and customers have been quite excited about it. The AgentCore SDK has already been downloaded over a million times and we're seeing transformative results, such as Cohere Health expecting to reduce medical review times by 30-40% in highly regulated healthcare, and teams at Cox Automotive and Experian are embracing its flexibility to deploy and operate agents at scale. Inside Amazon, our Amazon Devices Operations & Supply Chain team is using AgentCore to develop an agentic manufacturing approach where AI agents work together to automate manual processes – turning what used to be days of engineering time into processes that take under an hour with high precision. Just like AWS changed how companies build and scale applications, we believe AgentCore will do the same for AI agents, enabling the next generation of innovation.

Andy Jassy

24,990 次观看 • 1 年前

🚀Just launched: Amazon Q, the most capable GenAI-powered assistant is generally available today: Customers are using Q to transform how their teams get work done. When employees chat with Amazon Q, it provides immediate, relevant information and advice to help streamline tasks, speedup decision-making, and help spark creativity and innovation at work. . Early indications signal Amazon Q could help our customers’ employees become more than 80% more productive at their jobs; and with the new features we’re planning on introducing in the future, we think this will only continue to grow. 🟠 Amazon Q Developer allows developers to spend more time coding and less time on maintenance and performing other tedious, repetitive tasks. Q assists developers and IT professionals (IT pros) with all of their tasks—from coding, testing, and upgrading applications, to troubleshooting, performing security scanning and fixes, and optimizing AWS resources. Q also comes with Q Developer Agents which can autonomously perform range of tasks and we expect it to be the state of the art accuracy in benchmarks like SWE-Bench. 🟠 Amazon Q Business empowers employees to be more data-driven, and helps customers make better, faster decisions using company knowledge and data. Q Business is a generative AI–powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in enterprise systems 🟠 Amazon Q Apps, a new and powerful capability of Amazon Q Business, enables employees to use natural language to quickly and securely build their own generative AI applications to automate daily tasks without requiring any prior coding experience. Employees simply describe the type of app they want, in natural language, and Q Apps will quickly generate an app that accomplishes their desired task, helping them streamline and automate their daily work with ease and efficiency.

🚀Just launched: Amazon Q, the most capable GenAI-powered assistant is generally available today: Customers are using Q to transform how their teams get work done. When employees chat with Amazon Q, it provides immediate, relevant information and advice to help streamline tasks, speedup decision-making, and help spark creativity and innovation at work. . Early indications signal Amazon Q could help our customers’ employees become more than 80% more productive at their jobs; and with the new features we’re planning on introducing in the future, we think this will only continue to grow. 🟠 Amazon Q Developer allows developers to spend more time coding and less time on maintenance and performing other tedious, repetitive tasks. Q assists developers and IT professionals (IT pros) with all of their tasks—from coding, testing, and upgrading applications, to troubleshooting, performing security scanning and fixes, and optimizing AWS resources. Q also comes with Q Developer Agents which can autonomously perform range of tasks and we expect it to be the state of the art accuracy in benchmarks like SWE-Bench. 🟠 Amazon Q Business empowers employees to be more data-driven, and helps customers make better, faster decisions using company knowledge and data. Q Business is a generative AI–powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in enterprise systems 🟠 Amazon Q Apps, a new and powerful capability of Amazon Q Business, enables employees to use natural language to quickly and securely build their own generative AI applications to automate daily tasks without requiring any prior coding experience. Employees simply describe the type of app they want, in natural language, and Q Apps will quickly generate an app that accomplishes their desired task, helping them streamline and automate their daily work with ease and efficiency.

Swami Sivasubramanian

25,216 次观看 • 2 年前