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T3 Chat's "search" feature was powered by Google's Search Grounding, which was great, but sadly it only works for Gemini models. Today, that changes. Search now works with almost every model. Quality of results has gone up too!

Theo - t3.gg

329,089 subscribers

73,030 次观看 • 1 年前 •via X (Twitter)

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10 条评论

Theo - t3.gg 的头像

Theo - t3.gg1 年前

Powered by @ExaAILabs 🫡 Huge shoutout to @jullerino for getting this one over the finish line

compuficial 的头像

compuficial1 年前

This is really becoming THE ai chat app

Sarvesh 的头像

Sarvesh1 年前

The search is dumb on . Used it with different prompts and seems to give correct result for one and wrong for another. The prompts were close enough but had to have different answers. the websites it searched over were the same going towards wrong answer

ren simmons 的头像

ren simmons1 年前

What did you like about @ExaAILabs vs other providers?

Max Weinbach 的头像

Max Weinbach1 年前

do models like o3 support tool calls in the CoT properly?

paytondev🏳️‍🌈 的头像

paytondev🏳️‍🌈1 年前

do Gemini models still use google search grounding?

ᛗᚨᚱᚴᚢᛋ 的头像

ᛗᚨᚱᚴᚢᛋ1 年前

claude web search api isn’t great, so this remains the best one right now, unless my research was shit while building the clone

Der.dev 🔥🛠️ 的头像

Der.dev 🔥🛠️1 年前

Incredible. Noticed this the past few days.

head lying 的头像

head lying1 年前

Almost unsubscribed due to the lack of search for some models. Nice.

Cris 的头像

Cris1 年前

Alright I subbed last week but I honestly didn’t use it. Gonna start using it for real today and this might be the thing that forces the swap for me 🫡 Hoping for projects soon 🙏

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🚨 Google Search just got a massive upgrade. Gemini 2.5 Pro and Deep Search are now part of AI Mode, along with a new agentic feature. (US only for now) Damn so finally Google has indirectly brought Gemini to Google Search Page, This is massive. More details below 👇

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AshutoshShrivastava

61,862 次观看 • 1 年前

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Adot (a.xyz) 🔍

56,695 次观看 • 1 年前

For decades, the internet has been driven by search. But with AI, it's time for search to evolve. Google is pioneering these changes, led by Robby Stein. We've moved from 10 blue links to a complex multimodal system that expands search, rather than replaces it. Really cool episode.

For decades, the internet has been driven by search. But with AI, it's time for search to evolve. Google is pioneering these changes, led by Robby Stein. We've moved from 10 blue links to a complex multimodal system that expands search, rather than replaces it. Really cool episode.

Limitless

11,374 次观看 • 8 个月前

Search was built for humans — one query, one results page. AI agents don’t search that way. They assault problems from dozens of angles simultaneously. Most search APIs are still just the old human workflow wrapped in code. Octen rebuilt the entire stack from the ground up for machines — indexing, ranking, and serving. 62 ms per search. ~$1 per 1,000 requests. The interface changed years ago. The search engine has finally caught up.

Search was built for humans — one query, one results page. AI agents don’t search that way. They assault problems from dozens of angles simultaneously. Most search APIs are still just the old human workflow wrapped in code. Octen rebuilt the entire stack from the ground up for machines — indexing, ranking, and serving. 62 ms per search. ~$1 per 1,000 requests. The interface changed years ago. The search engine has finally caught up.

INTERIOR PORN

61,484 次观看 • 28 天前

Today we're excited to announce Seezlo : A Meta-Gallery and Search Engine platform for Visual Art 🎨 ; powered by our very own brain-aligned machine vision model🧠 [ that was not trained on Art! 🤯]

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Artificio

176,374 次观看 • 3 年前

(1/5) Gemini 3, our most intelligent model, is landing in Google Search today – starting with AI Mode. Excited that this is the first time we’re shipping a new Gemini model in Search on day one! 🚀 In Search, Gemini 3 with generative layouts will make it easy to get a rich understanding of anything on your mind. It has state-of-the-art reasoning, deep multimodal understanding and advanced agentic capabilities. That allows the model to shine when you ask it to explain advanced concepts or ideas – it reasons and can code interactive visuals in real-time. It can tackle your toughest questions like advanced science.

(1/5) Gemini 3, our most intelligent model, is landing in Google Search today – starting with AI Mode. Excited that this is the first time we’re shipping a new Gemini model in Search on day one! 🚀 In Search, Gemini 3 with generative layouts will make it easy to get a rich understanding of anything on your mind. It has state-of-the-art reasoning, deep multimodal understanding and advanced agentic capabilities. That allows the model to shine when you ask it to explain advanced concepts or ideas – it reasons and can code interactive visuals in real-time. It can tackle your toughest questions like advanced science.

Robby Stein

94,962 次观看 • 9 个月前

We’re expanding the Gemini API File Search tool 🔍 with 3 new updates that enable developers to more easily build multimodal RAG systems with enhanced precision: + Multimodal Support: By leveraging our Gemini Embedding 2 model, File Search can now reason across image and text simultaneously. + Custom Metadata Filtering: Bring structure to unstructured data by tagging files with custom key-value labels. This pre-filters your data and boosts search speed. + Exact citations: File Search can now capture and return the exact source (down to the page number) for every piece of information indexed. See multimodal File Search in action with our example app in Google AI Studio. Chat with your entire image and doc library, ask questions, and trace answers back to the source:

We’re expanding the Gemini API File Search tool 🔍 with 3 new updates that enable developers to more easily build multimodal RAG systems with enhanced precision: + Multimodal Support: By leveraging our Gemini Embedding 2 model, File Search can now reason across image and text simultaneously. + Custom Metadata Filtering: Bring structure to unstructured data by tagging files with custom key-value labels. This pre-filters your data and boosts search speed. + Exact citations: File Search can now capture and return the exact source (down to the page number) for every piece of information indexed. See multimodal File Search in action with our example app in Google AI Studio. Chat with your entire image and doc library, ask questions, and trace answers back to the source:

Google AI Developers

108,766 次观看 • 3 个月前

Tully & Ohara SERT SEARCH: “Start of search” We know that the SERT team waited for Brian Tully to arrive at 34 Fairview so he could show them WHERE to search and WHAT they would be searching for. Today- Ohara claimed he started the search at 5:25 PM. That was not only a change in testimony from the last trial, but it also completely contradicts Brian Tully from the last trial. Trial 1- Brian Tully claimed he didn’t arrive to Fairview until 5:30 PM. He also claims there was only 2 officers from SERT present at that time. (Video) So how is it that Ohara now all of a sudden began the search before Brian Tully even arrived ?

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Joe Flipperhead

36,545 次观看 • 1 年前

📍A local SEO trick every pro should know: Use the UULE parameter to set a precise location for your search results. Adding a UULE parameter to your Google search query lets you see search results from a specific region without needing an extension or being physically there. Here’s how: 1️⃣ Generate a UULE for the location (Find a tool by googling “uule generator”) You will get a code that looks like this: &uule=w+CAIQICIQRWRtb250b24sIENhbmFkYQ 2️⃣ Now run any search in Google. 3️⃣ Look at the URL for your search and replace the last part of it with the UULE parameter. For example: google . com/search?q=sushi+restaurant &uule=w+CAIQICIQRWRtb250b24sIENhbmFkYQ How do you set your search location? #seo #localseo

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Darren Shaw

28,511 次观看 • 2 年前

With Gemini 3 in Search, you can now create interactive tools and simulations to visualize complex topics. It’s been really great to see the creative ways people are using it for things like seeing how photosynthesis works or how a vinyl record produces sound. Here are some of my favorite examples of what Gemini 3 in AI Mode can do:

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Rajan Patel

26,324 次观看 • 8 个月前

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TBPN

329,406 次观看 • 3 个月前

Introducing "gap analysis"—new addition to scira's "extreme" mode! how it works—after the research plan is executed—the LLM will run a gap analysis to find the gaps in the results of the research plan and then search for the gaps and fill the information—and finally run a final synthesis or the information! other fixes: - you can now switch llms in-between conversations - you will have a dedicated regenerate button to re run the search or dedicated action by the same model - improved web search UI

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Scira AI

15,643 次观看 • 1 年前

Filesystems vs Vector search is the new MCP vs CLI. Claude uses agentic search. And Dens Sumesh at mintlify like filesystems too. but Retrieval is still used by Notion, Cursor, and others. We hit the cafes of SF to see what people want. - The debate is hot. Filesystems won by 1 point - filesystems feel very simple and intuitive. - RAG requires embedding, vector search and other stuff filesystems won. Introducing SMFS - Supermemory Filesystem we brought the best of these worlds into one single product - it's a filesystem, but agent can also do semantic search using grep. live today. Try it! Works with any sandbox, you mount and sync with cloud, it has a sync engine built in, all filetypes supported - even images and videos can be grepped. So, what do you choose - Filesystems, or vector search? we have both!

Filesystems vs Vector search is the new MCP vs CLI. Claude uses agentic search. And Dens Sumesh at mintlify like filesystems too. but Retrieval is still used by Notion, Cursor, and others. We hit the cafes of SF to see what people want. - The debate is hot. Filesystems won by 1 point - filesystems feel very simple and intuitive. - RAG requires embedding, vector search and other stuff filesystems won. Introducing SMFS - Supermemory Filesystem we brought the best of these worlds into one single product - it's a filesystem, but agent can also do semantic search using grep. live today. Try it! Works with any sandbox, you mount and sync with cloud, it has a sync engine built in, all filetypes supported - even images and videos can be grepped. So, what do you choose - Filesystems, or vector search? we have both!

Dhravya Shah

153,119 次观看 • 3 个月前

This tool shows which parts of the page will represent it in Google's AI search: Google takes bits and pieces of text from pages and assembles a small query-specific extractive summary for each grounding source and this forms a broader model context together with personalization, user prompt and any attached media. Apart from your branding this is all you have to influence the model.

This tool shows which parts of the page will represent it in Google's AI search: Google takes bits and pieces of text from pages and assembles a small query-specific extractive summary for each grounding source and this forms a broader model context together with personalization, user prompt and any attached media. Apart from your branding this is all you have to influence the model.

DEJAN

22,101 次观看 • 6 个月前

J-Cal Explains Why Google is UNDERRATED in AI 👀 On E227, the besties discussed Google's value in a post-search world if AI replaces traditional search. @jason broke down why he thinks Google is being slept on: "I think there's a chance that we're underestimating the power of Google's ad network right now." "They have four or five products that are one or two billion users per month. You have YouTube, Google Docs, Android." "They have such a data advantage and such a deep integration into people's lives because they use three or four services, I think Google's gonna figure this out." "It's quite possible that knowing your queries in Gemini, knowing what you're doing in Calendar, knowing what you're watching on YouTube could lead to a stream of more targeted ads that do better and are more valuable." "We've been seeing a number of startups that are figuring out how to use your queries and what you're doing in AI to present to you search results." "So imagine you're doing a Gemini search and on the side of it, it's giving you a rolling list of ads or offers that you might be more interested in." "That could be a better advertising product than even search itself." "I think YouTube search is the place to go all-in." "Right now, when you do a YouTube search, it just gives you 10 links, right? It just gives you that rolling thing." "You should be able to ask a question to YouTube, and you should be able to ask questions to your calendar." "You should be able to say, who have I met with over the last 10 years? Who I'm no longer in touch with and what are they up to?" "And it should do a Gemini search inside of Google Calendar. It's very light right now." "And then if you did that on YouTube, this would train people at the point of pain in a very deep way without sacrificing Google Search queries too aggressively."

J-Cal Explains Why Google is UNDERRATED in AI 👀 On E227, the besties discussed Google's value in a post-search world if AI replaces traditional search. @jason broke down why he thinks Google is being slept on: "I think there's a chance that we're underestimating the power of Google's ad network right now." "They have four or five products that are one or two billion users per month. You have YouTube, Google Docs, Android." "They have such a data advantage and such a deep integration into people's lives because they use three or four services, I think Google's gonna figure this out." "It's quite possible that knowing your queries in Gemini, knowing what you're doing in Calendar, knowing what you're watching on YouTube could lead to a stream of more targeted ads that do better and are more valuable." "We've been seeing a number of startups that are figuring out how to use your queries and what you're doing in AI to present to you search results." "So imagine you're doing a Gemini search and on the side of it, it's giving you a rolling list of ads or offers that you might be more interested in." "That could be a better advertising product than even search itself." "I think YouTube search is the place to go all-in." "Right now, when you do a YouTube search, it just gives you 10 links, right? It just gives you that rolling thing." "You should be able to ask a question to YouTube, and you should be able to ask questions to your calendar." "You should be able to say, who have I met with over the last 10 years? Who I'm no longer in touch with and what are they up to?" "And it should do a Gemini search inside of Google Calendar. It's very light right now." "And then if you did that on YouTube, this would train people at the point of pain in a very deep way without sacrificing Google Search queries too aggressively."

The All-In Podcast

58,275 次观看 • 1 年前

Have you tried AI Contextual Search inside OptimAI yet? Search isn’t just search anymore. We’ve rebuilt it from the ground up to feel like an intelligent signal detector inside the chaos of the internet. 🔍 AI Contextual Search now: • Understands meaning, not just keywords • Filters out noise and irrelevant posts automatically • Surfaces the exact insight you’re looking for • Learns from your context, domain, and intent • Works at scale thanks to the growing nodes - powering the OptimAI Network This is what happens when decentralized compute meets agentic intelligence - fast, deep, contextual understanding in real time. And yes… it’s already live. Show us the smartest search results your OptimAI agent found today. 😎 We’d love to see how far you can push it. 👉

Have you tried AI Contextual Search inside OptimAI yet? Search isn’t just search anymore. We’ve rebuilt it from the ground up to feel like an intelligent signal detector inside the chaos of the internet. 🔍 AI Contextual Search now: • Understands meaning, not just keywords • Filters out noise and irrelevant posts automatically • Surfaces the exact insight you’re looking for • Learns from your context, domain, and intent • Works at scale thanks to the growing nodes - powering the OptimAI Network This is what happens when decentralized compute meets agentic intelligence - fast, deep, contextual understanding in real time. And yes… it’s already live. Show us the smartest search results your OptimAI agent found today. 😎 We’d love to see how far you can push it. 👉

OptimAI

33,989 次观看 • 8 个月前

🥳Still waiting for #SearchGPT? Let's try MindSearch at MindSearch mimics human minds in complex web search by a multi-agent framework, which is fully open-sourced now! You can build it locally with API models like GPT-4o or open-source model InternLM2.5!

🥳Still waiting for #SearchGPT? Let's try MindSearch at MindSearch mimics human minds in complex web search by a multi-agent framework, which is fully open-sourced now! You can build it locally with API models like GPT-4o or open-source model InternLM2.5!

Intern Large Models

63,162 次观看 • 2 年前

A Nigerian resident has shared his encounter with two Ghanaian police officers on the streets of Jamestown, claiming that he was harassed by the officers after they approached him for a 'stop and search,' to which he requested their warrant.

A Nigerian resident has shared his encounter with two Ghanaian police officers on the streets of Jamestown, claiming that he was harassed by the officers after they approached him for a 'stop and search,' to which he requested their warrant.

EDHUB🌍ℹ

63,801 次观看 • 1 年前

I sat down with Robby Stein (Robby Stein), Google’s VP of Product for Search, at Google I/O. Robby is one of the most interesting product leaders in tech: he helped build Instagram Stories, Reels and Close Friends, and now leads core Google Search products including AI Overviews, AI Mode, Lens and ranking. We talked about one of the biggest shifts in the history of the web: Google Search becoming AI-native. Topics we covered: • AI Mode and whether it is an evolution of Search or a reinvention of it • how Google breaks complex questions into multiple searches behind the scenes • why AI search is much more expensive to run than traditional search • whether Google’s TPUs and infrastructure give it an advantage no one else can match • why Search volume is growing instead of being cannibalized by AI • the tension between great AI answers and traffic for publishers • how Google decides which sources and links to show • what a better internet could look like if AI Search works as intended The big question behind the whole conversation: If Google gives you the answer directly, what happens to the link-based web? A small caveat: sadly the microphones didnt work properly. Therefore the audio quality in this episode isn't perfect due to a recording issue - we appreciate your understanding.

I sat down with Robby Stein (Robby Stein), Google’s VP of Product for Search, at Google I/O. Robby is one of the most interesting product leaders in tech: he helped build Instagram Stories, Reels and Close Friends, and now leads core Google Search products including AI Overviews, AI Mode, Lens and ranking. We talked about one of the biggest shifts in the history of the web: Google Search becoming AI-native. Topics we covered: • AI Mode and whether it is an evolution of Search or a reinvention of it • how Google breaks complex questions into multiple searches behind the scenes • why AI search is much more expensive to run than traditional search • whether Google’s TPUs and infrastructure give it an advantage no one else can match • why Search volume is growing instead of being cannibalized by AI • the tension between great AI answers and traffic for publishers • how Google decides which sources and links to show • what a better internet could look like if AI Search works as intended The big question behind the whole conversation: If Google gives you the answer directly, what happens to the link-based web? A small caveat: sadly the microphones didnt work properly. Therefore the audio quality in this episode isn't perfect due to a recording issue - we appreciate your understanding.

Chubby♨️

30,486 次观看 • 2 个月前