Загрузка видео...

Не удалось загрузить видео

На главную

Introducing Exa Monitors - your agent’s radar for the web Exa is a search engine built from scratch, and today we're exposing our "update" layer. Simply define what to find and how often - Monitors will return any new information, via webhook.

122,854 просмотров • 5 месяцев назад •via X (Twitter)

Комментарии: 22

Фото профиля Exa
Exa5 месяцев назад

Learn more: Try it on our dashboard:

Фото профиля Ishan Goswami
Ishan Goswami5 месяцев назад

exa monitor is basically your terminally online friend who is active 24*7 and knows what is happening all around the world

Фото профиля darshil
darshil5 месяцев назад

How’s this different from what @p0 does?

Фото профиля Stacey Tara
Stacey Tara5 месяцев назад

I’ve been waiting for this!!! ❤️‍🔥

Фото профиля Cole
Cole5 месяцев назад

It’s a uhhh… cron job?

Фото профиля steve
steve5 месяцев назад

OoOoh this is cool

Фото профиля Mark Witt
Mark Witt5 месяцев назад

pricing?

Фото профиля Ron
Ron5 месяцев назад

Bitch it’s search with interval

Фото профиля Yousef Amirghofran
Yousef Amirghofran5 месяцев назад

@BallesterosCBH

Фото профиля Ariel Chouminov
Ariel Chouminov5 месяцев назад

modern day RSS

Фото профиля AyeWatch
AyeWatch5 месяцев назад

maybe you, us and @p0 should come up with benchmarks evals for ai internet monitors accuracy and quality

Фото профиля mrkelly
mrkelly5 месяцев назад

What is rarely mentioned is the massive engineering cost of filtering the resulting noise.

Фото профиля Freak
Freak5 месяцев назад

A re yall still hiring LLM specialists?

Фото профиля LiamHz
LiamHz5 месяцев назад

excited to doomscroll my monitors

Фото профиля Jan van der Vegt
Jan van der Vegt5 месяцев назад

Super exciting launch!

Фото профиля orkward ☄︎
orkward ☄︎5 месяцев назад

agent radar is officially active. massive for automation.

Фото профиля tobias
tobias5 месяцев назад

Do you make some source scoring on that?

Фото профиля ayush
ayush5 месяцев назад

awesome🔥

Фото профиля nine of zoe
nine of zoe5 месяцев назад

📻

Фото профиля arun
arun5 месяцев назад

@menhguin How much does it cost to run this?

Фото профиля Melvin Vivas
Melvin Vivas5 месяцев назад

how much

Фото профиля Ofek Katriel 🦉
Ofek Katriel 🦉5 месяцев назад

real use case but most AI agents don't actually need real time web monitoring, they need better memory. the bottleneck ain't "what's new on the web" it's "remember what happened last session." curious how this plays with that gap though

Похожие видео

“We really try to avoid non-player characters (when recruiting) - people who just go through life as if they’re on a stream and they have no agency over themselves.” Will Bryk. Co-founder and CEO of Exa. The founder who listens to the Mission Impossible soundtrack every morning, and finds more inspiration in fictional superheroes than real-life ones, on how he’s building the company powering the internet of agents. Knuckle Up ↓ In this conversation with Will: 00:00 Who is Will Bryk? 01:49 Why do agents need a different search engine than humans? 02:53 How can an independent search company survive the big labs? 07:33 What does the internet look like when agents do the searching? 10:19 How did writing a book on the history of civilization lead to Exa? 15:39 Why does Exa hire first-principles thinkers, not rebels? 18:05 What is a “non-playable character,” and why does Exa screen for it? 19:49 How does Exa win engineers against the labs’ packages? 21:30 Why does Will kill process “before it lays eggs”? 26:27 Does the “bitter lesson” apply to humans? 29:52 What breaks when a company outgrows a single room? 34:47 Are there 100x and 1000x engineers now, not just 10x? 37:32 Why should nothing at Exa ever take a month to ship? 45:30 Where does Will’s drive actually come from? 48:28 Why are Will’s role models fictional, not real? 51:05 What does “We’ll figure it out” mean at Exa? 54:05 Why do Will’s best thoughts happen at 2:00 AM? 57:47 Quickfire: red flags, young founder myths, and Will’s mission impossible

Nakul Mandan

91,362 просмотров • 1 месяц назад

Today, we're excited to introduce Genspark: The AI Agent Engine that Reinvents Search. Traditional search engines, burdened with ads, spam, and biased information, render simple tasks like planning a trip or researching products frustratingly time-consuming. Despite some recent AI enhancements to traditional search, they still face significant integration challenges due to the existing business model and the myriad issues of a broken web. And while some search services have indeed made notable advances with AI-driven summaries, these efforts only scratch the surface of what users truly need. Many are looking for deeper, more thorough analyses and a variety of other search requirements that brief summaries simply can't fulfill. Genspark reinvents the search landscape through our advanced AI agent engine. Our agents perform extensive research and generate customized Sparkpages for each query, saving users' time by doing the heavy lifting. These pages are meticulously crafted, free from commercial biases, and sourced from a wide array of reliable information to deliver richer, more relevant results. Moreover, Genspark draws inspiration from GitHub to foster a collaborative digital environment where users can contribute to, enhance, and discuss content, creating a dynamic platform for those seeking a more interactive and efficient search experience. Check out how Genspark works in the thread below, and join us in redefining search!

Genspark

29,800 просмотров • 2 лет назад