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Unleashing faster, smarter #AI apps with semantic caching. 🚀 A new approach supercharging data retrieval while ensuring responses are contextually relevant by understanding the meaning behind user queries based on intent, not just literal matches. 🔗

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12,384 görüntüleme • 2 yıl önce •via X (Twitter)

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#Tearline is on the move, rolling out rapid updates and major upgrades! 🚀 Now with #GPT-4o mini, here comes: ✅ Enhanced intent understanding - with more accurate question categorization ✅ Better multi-language Q&A adaptability ✅ Share QA threads seamlessly ✅ Handling both crypto & non-crypto queries with ease Experience the ultimate AI chat on #Ton. Tearline 2.0 is just around the corner.
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#Tearline is on the move, rolling out rapid updates and major upgrades! 🚀 Now with #GPT-4o mini, here comes: ✅ Enhanced intent understanding - with more accurate question categorization ✅ Better multi-language Q&A adaptability ✅ Share QA threads seamlessly ✅ Handling both crypto & non-crypto queries with ease Experience the ultimate AI chat on #Ton. Tearline 2.0 is just around the corner.

Dataline

53,260 görüntüleme • 2 yıl önce

OpenAI's Deep Research is getting a run for its money. Deep Lake was just released, and it's a different take on an AI system that can do deep research on your own data. You can use Deep Lake to build AI search with reasoning on your private and public data. (Look at the attached videos to get an idea of how it works.) If you want to research proprietary and sensitive data, Deep Research won't help you because it's limited to public data. Deep Lake, however, will allow you to use your private data. On top of that, Deep Lake supports multi-modal retrieval from the ground up. It uses vision language models for data ingestion and retrieval so that you can connect any data (PDFs, images, videos, structured data, etc.) You can even use mixed-data queries! Deep Lake can search your data from S3, Dropbox, and GCP. It learns from your queries over time, making the results as relevant to your work as possible!
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OpenAI's Deep Research is getting a run for its money. Deep Lake was just released, and it's a different take on an AI system that can do deep research on your own data. You can use Deep Lake to build AI search with reasoning on your private and public data. (Look at the attached videos to get an idea of how it works.) If you want to research proprietary and sensitive data, Deep Research won't help you because it's limited to public data. Deep Lake, however, will allow you to use your private data. On top of that, Deep Lake supports multi-modal retrieval from the ground up. It uses vision language models for data ingestion and retrieval so that you can connect any data (PDFs, images, videos, structured data, etc.) You can even use mixed-data queries! Deep Lake can search your data from S3, Dropbox, and GCP. It learns from your queries over time, making the results as relevant to your work as possible!

Santiago

171,340 görüntüleme • 1 yıl önce

Also have been playing with TypeSafe AI Jev, insane! So many immediate use cases and new apps are possible. What a time to be a builder! Sharing some experiments here starting with: Keystroke oracle / predictive launcher: Your launcher ranks by aliases, fuzzy match, and habit. Jev reads intent: type "the pdf I just downloaded" and the newest PDF is already the top hit with a full confidence on every keystroke, in ~100 ms
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Also have been playing with TypeSafe AI Jev, insane! So many immediate use cases and new apps are possible. What a time to be a builder! Sharing some experiments here starting with: Keystroke oracle / predictive launcher: Your launcher ranks by aliases, fuzzy match, and habit. Jev reads intent: type "the pdf I just downloaded" and the newest PDF is already the top hit with a full confidence on every keystroke, in ~100 ms

nader dabit

433,043 görüntüleme • 20 gün önce

New Version of HyperStore is now live! 🔥 We’re excited to announce that HyperStore has officially been upgraded to a new system version. This is not a simple UI update, it’s a full platform evolution. ⚡ What’s new? HyperStore now delivers a significantly faster and more intelligent experience powered by its rebuilt infrastructure. - 5000+ AI apps, fully structured into a living ecosystem - A new prompt-based discovery system - Faster navigation, cleaner interface, smarter results Now users don’t search for tools, they instantly reach solutions. 🧠 HyperClaw Integration HyperClaw is now fully active within HyperStore. It acts as a continuous intelligence layer that: - Keeps the platform updated in real time - Curates and optimizes AI apps dynamically - Ensures the ecosystem is always evolving 🔥 What this means? HyperStore is no longer just an AI marketplace. It is now an AI execution layer. Designed for builders, creators, and operators who move fast. 🌐 Try it now: ⚡ Find any AI solution. Instantly.
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New Version of HyperStore is now live! 🔥 We’re excited to announce that HyperStore has officially been upgraded to a new system version. This is not a simple UI update, it’s a full platform evolution. ⚡ What’s new? HyperStore now delivers a significantly faster and more intelligent experience powered by its rebuilt infrastructure. - 5000+ AI apps, fully structured into a living ecosystem - A new prompt-based discovery system - Faster navigation, cleaner interface, smarter results Now users don’t search for tools, they instantly reach solutions. 🧠 HyperClaw Integration HyperClaw is now fully active within HyperStore. It acts as a continuous intelligence layer that: - Keeps the platform updated in real time - Curates and optimizes AI apps dynamically - Ensures the ecosystem is always evolving 🔥 What this means? HyperStore is no longer just an AI marketplace. It is now an AI execution layer. Designed for builders, creators, and operators who move fast. 🌐 Try it now: ⚡ Find any AI solution. Instantly.

HyperGPT

99,264 görüntüleme • 5 ay önce

Traditional physics-based models struggle with extreme rainfall, often overestimating light events while underestimating extreme precipitation. Our new hybrid climate model, NeuralGCM, more accurately simulates extreme rainfall, mean precipitation (with a 40% bias reduction compared to CMIP6 models), and the diurnal cycle of precipitation. These improvements are a direct result of training the model on NASA satellite observations, not just reanalysis data.
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Traditional physics-based models struggle with extreme rainfall, often overestimating light events while underestimating extreme precipitation. Our new hybrid climate model, NeuralGCM, more accurately simulates extreme rainfall, mean precipitation (with a 40% bias reduction compared to CMIP6 models), and the diurnal cycle of precipitation. These improvements are a direct result of training the model on NASA satellite observations, not just reanalysis data.

Google Research

16,267 görüntüleme • 7 ay önce

Announcing Personal Intelligence, a more personalized Google Gemini designed just for you. How it works: — Customized: With your permission, it reasons across your Gmail, YouTube, Google Photos, and Search apps to share hyper-relevant and context-aware responses — Secure: If enabled, you control which Google apps to connect to. This setting is off by default — Useful: From travel plans based on your Google Photos to gym recommendations based on goals you’ve shared with Gemini, you get help tailored to your world Personal Intelligence in beta is rolling out to Google AI Pro and AI Ultra subscribers in the U.S., with expansions to the free tier, more countries, and AI Mode in Search to come. Take a look at the Gemini app's personalized assistance in the clip below, then let us know what you would use it for!
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Announcing Personal Intelligence, a more personalized Google Gemini designed just for you. How it works: — Customized: With your permission, it reasons across your Gmail, YouTube, Google Photos, and Search apps to share hyper-relevant and context-aware responses — Secure: If enabled, you control which Google apps to connect to. This setting is off by default — Useful: From travel plans based on your Google Photos to gym recommendations based on goals you’ve shared with Gemini, you get help tailored to your world Personal Intelligence in beta is rolling out to Google AI Pro and AI Ultra subscribers in the U.S., with expansions to the free tier, more countries, and AI Mode in Search to come. Take a look at the Gemini app's personalized assistance in the clip below, then let us know what you would use it for!

Google AI

320,651 görüntüleme • 8 ay önce

The date is set. Introducing JioBlackRock Flexi Cap Fund — India’s first active equity fund powered by Systematic Active Equity* (SAE). Systematic Active Equity is BlackRock’s proprietary investment approach that processes the signals into actionable investment opportunities. Where AI meets human expertise, and traditional + alternate data come together to uncover smarter investment opportunities. This isn’t just another Flexi Cap Fund. It’s a new way to invest — intelligent, agile, and built for scale. NFO period: 23 Sep – 7 Oct 2025. *A technology-driven** investment approach that combines human expertise with a data-driven model to build a portfolio. ** The systematic approach involves utilizing inputs from the Fund Managers and signal research scores shared by BlackRock Inc. Stay tuned. The future of investing just got sharper. #JioBlackRock #FlexiCapFund #NFO
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The date is set. Introducing JioBlackRock Flexi Cap Fund — India’s first active equity fund powered by Systematic Active Equity* (SAE). Systematic Active Equity is BlackRock’s proprietary investment approach that processes the signals into actionable investment opportunities. Where AI meets human expertise, and traditional + alternate data come together to uncover smarter investment opportunities. This isn’t just another Flexi Cap Fund. It’s a new way to invest — intelligent, agile, and built for scale. NFO period: 23 Sep – 7 Oct 2025. *A technology-driven** investment approach that combines human expertise with a data-driven model to build a portfolio. ** The systematic approach involves utilizing inputs from the Fund Managers and signal research scores shared by BlackRock Inc. Stay tuned. The future of investing just got sharper. #JioBlackRock #FlexiCapFund #NFO

JioBlackRock Mutual Fund

28,318 görüntüleme • 1 yıl önce

🧵 Understanding Zama; the future of privacy tech & homomorphic encryption 1️⃣ Zama is pioneering fully homomorphic encryption (FHE). A breakthrough that lets you compute on encrypted data without decrypting it. 🔐 That means total privacy, even the system running your data can’t see it. 2️⃣ Why it matters: Right now, cloud apps, AI models, and databases must access your raw data to work. FHE changes that. your data stays private while still usable. 3️⃣ Zama builds open-source FHE tools for developers, turning advanced cryptography into practical products for AI, blockchain, and Web3. 4️⃣ Imagine: •AI that learns without reading your secrets 🤖 •Blockchain transactions with zero data leaks •Cloud apps that never see your info 5️⃣ Zama’s mission: Privacy should be the default, not an option. They’re making privacy-preserving tech simple, scalable, and open for everyone. 🔚 In a world obsessed with data, Zama might just be building the encryption layer of the future internet. 🌐
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🧵 Understanding Zama; the future of privacy tech & homomorphic encryption 1️⃣ Zama is pioneering fully homomorphic encryption (FHE). A breakthrough that lets you compute on encrypted data without decrypting it. 🔐 That means total privacy, even the system running your data can’t see it. 2️⃣ Why it matters: Right now, cloud apps, AI models, and databases must access your raw data to work. FHE changes that. your data stays private while still usable. 3️⃣ Zama builds open-source FHE tools for developers, turning advanced cryptography into practical products for AI, blockchain, and Web3. 4️⃣ Imagine: •AI that learns without reading your secrets 🤖 •Blockchain transactions with zero data leaks •Cloud apps that never see your info 5️⃣ Zama’s mission: Privacy should be the default, not an option. They’re making privacy-preserving tech simple, scalable, and open for everyone. 🔚 In a world obsessed with data, Zama might just be building the encryption layer of the future internet. 🌐

v͙e͙s͙p͙e͙r͙ 📊🐐

19,644 görüntüleme • 11 ay önce

The newest version of our Almanac preprint is out, and just in time for our demo at the Stanford AIMI Symposium 2023! Almanac is a retrieval-augmented LLM that provides up-to-date and verifiable answers to medical queries. Link: We benchmark our approach on a novel dataset of clinical scenarios (n = 130) evaluated by a panel of 5 board-certified & resident physicians, and demonstrate significant increases in factuality (mean of 18% at p-value < 0.05) across all specialties. More interestingly, because the retrieved data acts as a single source of truth, we find retrieval-based LLMs to be more robust to prompt injection and manipulation! Future work will involve expanding the scope of our dataset to more specialties and multimodal settings. #Medtwitter #MedEd
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The newest version of our Almanac preprint is out, and just in time for our demo at the Stanford AIMI Symposium 2023! Almanac is a retrieval-augmented LLM that provides up-to-date and verifiable answers to medical queries. Link: We benchmark our approach on a novel dataset of clinical scenarios (n = 130) evaluated by a panel of 5 board-certified & resident physicians, and demonstrate significant increases in factuality (mean of 18% at p-value < 0.05) across all specialties. More interestingly, because the retrieved data acts as a single source of truth, we find retrieval-based LLMs to be more robust to prompt injection and manipulation! Future work will involve expanding the scope of our dataset to more specialties and multimodal settings. #Medtwitter #MedEd

Cyril Zakka, MD

18,168 görüntüleme • 3 yıl önce

Big things are coming to Stitch. It starts with canvas. 🖼️ We're shipping a new foundational feature that lets you see your entire user flow at once—perfect for tracking component state and ensuring design consistency. This is just the beginning. Stay tuned for what we build on top of it. 🚀 Let us know what you think! 📻
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Big things are coming to Stitch. It starts with canvas. 🖼️ We're shipping a new foundational feature that lets you see your entire user flow at once—perfect for tracking component state and ensuring design consistency. This is just the beginning. Stay tuned for what we build on top of it. 🚀 Let us know what you think! 📻

Stitch by Google

77,394 görüntüleme • 1 yıl önce

【We all went to the world together】 🎉Exciting times at "KeroKingParty"! Everyone's having a blast.✨ #Metaverse parties are the new trend! 🥳 🚀 Event hosted by へいへい! 🌐 World created by らふ🧸| Rafu@AI Video Creator! 💥 With #XANA, earn by just being part of the fun! Opportunities await! 🔥 📲 Download the app now! 🍏 iOS 🔗 🤖 Android 🔗
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【We all went to the world together】 🎉Exciting times at "KeroKingParty"! Everyone's having a blast.✨ #Metaverse parties are the new trend! 🥳 🚀 Event hosted by へいへい! 🌐 World created by らふ🧸| Rafu@AI Video Creator! 💥 With #XANA, earn by just being part of the fun! Opportunities await! 🔥 📲 Download the app now! 🍏 iOS 🔗 🤖 Android 🔗

XANA

14,461 görüntüleme • 2 yıl önce

Another big drop from Hunyuan3D by Tencent. Hunyuan3D-Buffalo 1.0 is not just another text-to-3D model. The more interesting part is its approach to 3D understanding and editing. It can understand separate parts of a complete asset, extract them, remove or replace them with prompts, and edit only the selected region while keeping the rest of the geometry unchanged. That feels like a much more useful direction for 3D AI in general: not just generating a mesh once, but actually understanding its structure and letting you continue working with it. The model combines Qwen-VL, TRELLIS and Hunyuan3D, and was trained on an impressive dataset of 87 million 3D samples. Source:
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Another big drop from Hunyuan3D by Tencent. Hunyuan3D-Buffalo 1.0 is not just another text-to-3D model. The more interesting part is its approach to 3D understanding and editing. It can understand separate parts of a complete asset, extract them, remove or replace them with prompts, and edit only the selected region while keeping the rest of the geometry unchanged. That feels like a much more useful direction for 3D AI in general: not just generating a mesh once, but actually understanding its structure and letting you continue working with it. The model combines Qwen-VL, TRELLIS and Hunyuan3D, and was trained on an impressive dataset of 87 million 3D samples. Source:

Stefan 3D AI

36,409 görüntüleme • 2 ay önce

Rocket Keeps Growing. Another 20,000 Android users joined the Rocket rollout. Every rollout helps us make Rocket better. Every day brings new capabilities. As access expands, Rocket continues improving through real-world usage while new features arrive every week. → One AI instead of dozens of disconnected agents → Long-term memory that grows with you → Semantic Video Search that understands videos—not just transcripts → Shared intelligence, where one Rocket's work benefits everyone We're rolling Rocket out in stages to ensure a great experience for every new user. The goal? Rocket in everyone's pocket.
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Rocket Keeps Growing. Another 20,000 Android users joined the Rocket rollout. Every rollout helps us make Rocket better. Every day brings new capabilities. As access expands, Rocket continues improving through real-world usage while new features arrive every week. → One AI instead of dozens of disconnected agents → Long-term memory that grows with you → Semantic Video Search that understands videos—not just transcripts → Shared intelligence, where one Rocket's work benefits everyone We're rolling Rocket out in stages to ensure a great experience for every new user. The goal? Rocket in everyone's pocket.

UpRock

14,686 görüntüleme • 2 ay önce

Advertising that actually works? Not a fantasy, it's #DigiMaaya's new partnership with AdPod 🚀 Their AI agents analyze on-chain data to find the perfect audience while we bring financial assets to your fingertips. 🤖 Together, we're creating a world where communities fund campaigns, creators earn royalties, and your investments find the right eyes. 💰 Digital assets meet precision targeting. 🔥
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Advertising that actually works? Not a fantasy, it's #DigiMaaya's new partnership with AdPod 🚀 Their AI agents analyze on-chain data to find the perfect audience while we bring financial assets to your fingertips. 🤖 Together, we're creating a world where communities fund campaigns, creators earn royalties, and your investments find the right eyes. 💰 Digital assets meet precision targeting. 🔥

Digi Maaya

15,534 görüntüleme • 1 yıl önce

GOOGLE 🔥: Interactive Reports are being prepared for the upcoming release in Gemini Notebook. > New: You can now create interactive reports. > An interactive report with embedded Studio content. Users can customize these reports by providing a custom prompt and selecting a language. Based on the suggested prompt, this feature lets users generate interactive reports, user research reports, and complex visualizations. * Not available to the public yet.
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GOOGLE 🔥: Interactive Reports are being prepared for the upcoming release in Gemini Notebook. > New: You can now create interactive reports. > An interactive report with embedded Studio content. Users can customize these reports by providing a custom prompt and selecting a language. Based on the suggested prompt, this feature lets users generate interactive reports, user research reports, and complex visualizations. * Not available to the public yet.

🚨 AI News | TestingCatalog

38,103 görüntüleme • 1 ay önce

HiveMind is a superintelligent network in which a central AI (MIND) orchestrates a swarm of uniquely coded Minds that drive mass data ingestion and limitless content creation. For decades, our approach has been to create content first, then analyze it into data afterwards to understand what worked. This was always backwards - analyzing the aftermath rather than engineering the success from the start. Traditional Flow: Content → Data Analysis → Insights Content isn't one-size-fits-all - a cooking show that captivates a senior audience on YouTube might bore a teenager who craves quick, dynamic experiences. The challenge isn't just creating content; it's creating the right content for the right audience. We need to change this. This is where HiveMind's specialized agents transform the landscape. Each agent, while connected to the central MIND, excels in its unique domain. One agent masters the art of children's educational content, while another crafts compelling cooking narratives. Another might specialize in rapid-fire social content that resonates with Gen Z. Through HiveMind, every piece of content generated becomes new data that teaches the system to create even better content. The system gets smarter with every cycle, understanding at an increasingly sophisticated level what makes content effective and engaging. But the true power lies in the feedback loop. Every interaction, every engagement, flows back to MIND, enabling each agent to evolve and refine its approach. This isn't just content creation - it's content evolution. As audiences engage, agents learn, adapt, and improve, making each new piece more effective than the last. In essence, we're not just building content creators; we're developing specialized digital artists who understand their audience intimately and grow smarter with every creation. You can think of it this way: Data → Pattern Recognition → Optimized Content → Engagement Data → Even Better Content Tzar
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HiveMind is a superintelligent network in which a central AI (MIND) orchestrates a swarm of uniquely coded Minds that drive mass data ingestion and limitless content creation. For decades, our approach has been to create content first, then analyze it into data afterwards to understand what worked. This was always backwards - analyzing the aftermath rather than engineering the success from the start. Traditional Flow: Content → Data Analysis → Insights Content isn't one-size-fits-all - a cooking show that captivates a senior audience on YouTube might bore a teenager who craves quick, dynamic experiences. The challenge isn't just creating content; it's creating the right content for the right audience. We need to change this. This is where HiveMind's specialized agents transform the landscape. Each agent, while connected to the central MIND, excels in its unique domain. One agent masters the art of children's educational content, while another crafts compelling cooking narratives. Another might specialize in rapid-fire social content that resonates with Gen Z. Through HiveMind, every piece of content generated becomes new data that teaches the system to create even better content. The system gets smarter with every cycle, understanding at an increasingly sophisticated level what makes content effective and engaging. But the true power lies in the feedback loop. Every interaction, every engagement, flows back to MIND, enabling each agent to evolve and refine its approach. This isn't just content creation - it's content evolution. As audiences engage, agents learn, adapt, and improve, making each new piece more effective than the last. In essence, we're not just building content creators; we're developing specialized digital artists who understand their audience intimately and grow smarter with every creation. You can think of it this way: Data → Pattern Recognition → Optimized Content → Engagement Data → Even Better Content Tzar

Tzar

26,190 görüntüleme • 1 yıl önce

HyENA is now live and it is here to redefine Perpetuals trading from the ground up. Brought to you by Based, powered by , and built entirely on Hyperliquid HIP-3. HyENA introduces a new standard for on-chain trading: an internet trading engine with native yield. With HyENA, you can trade any asset on earth 24/7, all while your collateral continues to work for you in the background. No idle capital. No stale liquidity. Just a seamless, hyper-efficient trading experience. HyENA is not just an upgrade. We are presenting a new model for how global markets can operate. Hyperliquid
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HyENA is now live and it is here to redefine Perpetuals trading from the ground up. Brought to you by Based, powered by , and built entirely on Hyperliquid HIP-3. HyENA introduces a new standard for on-chain trading: an internet trading engine with native yield. With HyENA, you can trade any asset on earth 24/7, all while your collateral continues to work for you in the background. No idle capital. No stale liquidity. Just a seamless, hyper-efficient trading experience. HyENA is not just an upgrade. We are presenting a new model for how global markets can operate. Hyperliquid

Based

34,109 görüntüleme • 10 ay önce