Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

Most AI assistants can now generate impressive responses. Very few can actually move work forward. At Glean, we’ve been focused on a different question: what would it take for every employee to have an expert, agentic coworker that understands their business, their role, and their day—and can safely take...

jainarvind's profile picture

Arvind Jain

9,377 subscribers

15,524 Aufrufe • vor 6 Monaten •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

🧵5/5 In the coming months, we’ll be introducing agentic capabilities to Gemini in Chrome so it can handle those tedious tasks that take up so much of your time, like booking a haircut or ordering your weekly groceries. You tell Gemini what you want to get done, and it can take action on web pages on your behalf while you focus on other things. It can be stopped at any time so you’re in control.
0:26

🧵5/5 In the coming months, we’ll be introducing agentic capabilities to Gemini in Chrome so it can handle those tedious tasks that take up so much of your time, like booking a haircut or ordering your weekly groceries. You tell Gemini what you want to get done, and it can take action on web pages on your behalf while you focus on other things. It can be stopped at any time so you’re in control.

Google AI

40,681 Aufrufe • vor 11 Monaten

This is probably the biggest news yet in software going headless, and will bring knowledge work agents to the masses. The new ChatGPT agents have access to any of the tools and data you want to work with, with complete coding and tool use available to them. Here's an example of a custom sales assistant agent uses Box as a knowledge source for accessing enterprise content securely to answer questions and generate new content on the fly. The workflows can obviously vastly far more complex as the agent can use any of the tools within Box available via MCP and CLI. This precisely what agents will start to look like for knowledge work. You'll be able to spin them up in the foreground or background to help augment work. Big opportunity right now for headless platforms, and for all the new builders and designers of these agents in the enterprise.
1:06

This is probably the biggest news yet in software going headless, and will bring knowledge work agents to the masses. The new ChatGPT agents have access to any of the tools and data you want to work with, with complete coding and tool use available to them. Here's an example of a custom sales assistant agent uses Box as a knowledge source for accessing enterprise content securely to answer questions and generate new content on the fly. The workflows can obviously vastly far more complex as the agent can use any of the tools within Box available via MCP and CLI. This precisely what agents will start to look like for knowledge work. You'll be able to spin them up in the foreground or background to help augment work. Big opportunity right now for headless platforms, and for all the new builders and designers of these agents in the enterprise.

Aaron Levie

420,133 Aufrufe • vor 4 Monaten

Today, we’re introducing WorkClaw: the AI team for your team. Most AI agents work in silos. One person, one assistant. But that’s not how teams collaborate in a real company, so we built something new. Meet your WorkClaws, collaborative, proactive, customizable AI coworkers that work in Slack or Teams just like every other colleague. Hire a new Claw in a few clicks and give them a job title, manager, computer, and apps. Easily access their ClawOS computer in the cloud, and pick from more than 3,000 integrations to install. Then, train them to get work done your way by adding skills and routines. It’s OpenClaw for actual work, with the additional layers of security and admin controls companies expect. 🚀 We’ve just opened up Early Access to a limited number of teams who get started on our website. 🎁 Want $500 in free credits? Just comment with what job title you’d give your first claw, and we’ll hook you up!
1:05

Today, we’re introducing WorkClaw: the AI team for your team. Most AI agents work in silos. One person, one assistant. But that’s not how teams collaborate in a real company, so we built something new. Meet your WorkClaws, collaborative, proactive, customizable AI coworkers that work in Slack or Teams just like every other colleague. Hire a new Claw in a few clicks and give them a job title, manager, computer, and apps. Easily access their ClawOS computer in the cloud, and pick from more than 3,000 integrations to install. Then, train them to get work done your way by adding skills and routines. It’s OpenClaw for actual work, with the additional layers of security and admin controls companies expect. 🚀 We’ve just opened up Early Access to a limited number of teams who get started on our website. 🎁 Want $500 in free credits? Just comment with what job title you’d give your first claw, and we’ll hook you up!

Will Ruben

542,879 Aufrufe • vor 2 Monaten

Introducing LangSmith Fleet: an enterprise workspace for creating, using, and managing your fleet of agents. Fleet agents have their own memory, access to a collection of tools and skills, and can be exposed through the communication channels your team uses every day. Fleet includes: → Agent identity and credential management with “Claws” and “Assistants” → Sharing and permissions to control who can run, clone, and edit (just like Google Docs) → Custom Slack bots so each agent has its own identity in Slack Try Fleet: Read the announcement:
1:57

Introducing LangSmith Fleet: an enterprise workspace for creating, using, and managing your fleet of agents. Fleet agents have their own memory, access to a collection of tools and skills, and can be exposed through the communication channels your team uses every day. Fleet includes: → Agent identity and credential management with “Claws” and “Assistants” → Sharing and permissions to control who can run, clone, and edit (just like Google Docs) → Custom Slack bots so each agent has its own identity in Slack Try Fleet: Read the announcement:

LangChain

149,020 Aufrufe • vor 5 Monaten

what you're looking at is a $3,000 service you can deliver in one sitting. 1. set up Claude Cowork for a client 2. connect it to their calendar, email, and CRM 3. train it on their business context 4. hand them an AI employee that actually knows their company 10 minutes to learn. 5. Create custom skills and charge thousands to deliver. use it for yourself or turn around and sell it to clients.
0:30

what you're looking at is a $3,000 service you can deliver in one sitting. 1. set up Claude Cowork for a client 2. connect it to their calendar, email, and CRM 3. train it on their business context 4. hand them an AI employee that actually knows their company 10 minutes to learn. 5. Create custom skills and charge thousands to deliver. use it for yourself or turn around and sell it to clients.

Nick Spisak

151,755 Aufrufe • vor 5 Monaten

Today, Box is announcing major new AI agent capabilities to let customers tap into the full value of their unstructured data. First, we’re announcing all new updates to the Box AI Studio to make it even easier to build AI agents that tap into your enterprise content for any job function, business process, or industry specific use case. We are also expanding our set of foundational agents that customers will be able to use to work with their enterprise content, including new features like search and research on unstructured data. Next, we’re announcing Box Extract to enable customers to use AI agents seamlessly for complex data extraction from any type of document or content. This makes it easier than ever to pull out data from contracts, invoices, research data, marketing assets, medical charts, and more. Finally, we’re introducing Box Automate, a new workflow automation solution within Box that lets you deploy AI agents across enterprise content-centric workflows. With Box Automate, you can design your business process in a simple drag and drop builder and then drop in AI agents at any step in the process. This ensures agents execute tasks at the right steps in a workflow every time. Best of all, our AI agents and workflow tools are designed to work across any system our customers work within, whether it’s leveraging pre-built integrations, Box APIs, or the new Box MCP Server. Ultimately, all of these capabilities come together to transform how companies can work with their enterprise content. Software has historically only been good at automating work that deals with structured data, which is why ERP, CRM, and HR systems have been mainstays of enterprise software for so long. The data in these systems fits neatly into a database, and the workflows are very ripe for automation. But it turns out most of the work in the world deals with unstructured data. It’s ideating through research documents, working with a client on contracts, reviewing details for a new product launch, looking at a patient’s healthcare record to make a diagnosis, working through due diligence documents for an M&A deal, and so on. For the first time ever, we can begin to bring all new insights and automation to this work with AI agents. At Box, we’re incredibly excited to be on this journey to help customers transform how they work with their most important data.
1:21

Today, Box is announcing major new AI agent capabilities to let customers tap into the full value of their unstructured data. First, we’re announcing all new updates to the Box AI Studio to make it even easier to build AI agents that tap into your enterprise content for any job function, business process, or industry specific use case. We are also expanding our set of foundational agents that customers will be able to use to work with their enterprise content, including new features like search and research on unstructured data. Next, we’re announcing Box Extract to enable customers to use AI agents seamlessly for complex data extraction from any type of document or content. This makes it easier than ever to pull out data from contracts, invoices, research data, marketing assets, medical charts, and more. Finally, we’re introducing Box Automate, a new workflow automation solution within Box that lets you deploy AI agents across enterprise content-centric workflows. With Box Automate, you can design your business process in a simple drag and drop builder and then drop in AI agents at any step in the process. This ensures agents execute tasks at the right steps in a workflow every time. Best of all, our AI agents and workflow tools are designed to work across any system our customers work within, whether it’s leveraging pre-built integrations, Box APIs, or the new Box MCP Server. Ultimately, all of these capabilities come together to transform how companies can work with their enterprise content. Software has historically only been good at automating work that deals with structured data, which is why ERP, CRM, and HR systems have been mainstays of enterprise software for so long. The data in these systems fits neatly into a database, and the workflows are very ripe for automation. But it turns out most of the work in the world deals with unstructured data. It’s ideating through research documents, working with a client on contracts, reviewing details for a new product launch, looking at a patient’s healthcare record to make a diagnosis, working through due diligence documents for an M&A deal, and so on. For the first time ever, we can begin to bring all new insights and automation to this work with AI agents. At Box, we’re incredibly excited to be on this journey to help customers transform how they work with their most important data.

Aaron Levie

91,863 Aufrufe • vor 11 Monaten

Today we’re introducing Superhuman Docs, the evolution of Coda (Superhuman Docs) into the best place for teams and AI to work together. I co-founded Coda to reimagine the modern document and enable anyone to make a doc as powerful as an app. Superhuman Docs builds on that mission, and is reimagined for how teams work with AI now. With Superhuman Docs, AI is no longer a solo experience. Docs AI works with you the way a teammate would, with full context of everything your team has built: your data, your briefs, your roadmaps, your connected tools. You can ask it to summarize a sprint, draft a decision record from your meeting notes, or pull a competitor analysis into a new page, and that work stays right where your teammates can pick it up. I’m incredibly proud of the team for bringing Docs to life! There’s so much more we’re launching, including a way to create custom interfaces on top of your data just by describing it. We’re also introducing Superhuman Databases for teams to manage up to 1 million rows, launching Docs MCP to open it up to the AI tools you already use, and debuting a brand new Mac app. We’ve been building toward this moment for a long time, and Docs starts rolling out today. If you’re an existing Coda user, everything you rely on in your docs will remain the same, and if you’re new, now is a great time to jump in.
4:07

Today we’re introducing Superhuman Docs, the evolution of Coda (Superhuman Docs) into the best place for teams and AI to work together. I co-founded Coda to reimagine the modern document and enable anyone to make a doc as powerful as an app. Superhuman Docs builds on that mission, and is reimagined for how teams work with AI now. With Superhuman Docs, AI is no longer a solo experience. Docs AI works with you the way a teammate would, with full context of everything your team has built: your data, your briefs, your roadmaps, your connected tools. You can ask it to summarize a sprint, draft a decision record from your meeting notes, or pull a competitor analysis into a new page, and that work stays right where your teammates can pick it up. I’m incredibly proud of the team for bringing Docs to life! There’s so much more we’re launching, including a way to create custom interfaces on top of your data just by describing it. We’re also introducing Superhuman Databases for teams to manage up to 1 million rows, launching Docs MCP to open it up to the AI tools you already use, and debuting a brand new Mac app. We’ve been building toward this moment for a long time, and Docs starts rolling out today. If you’re an existing Coda user, everything you rely on in your docs will remain the same, and if you’re new, now is a great time to jump in.

Shishir

23,966 Aufrufe • vor 1 Monat

memU bot is a highly personal, proactive AI assistant that adapts to your needs and gets things done for you. With traditional assistants, you must first give tasks and write prompts. They only act after you ask. But a better experience is this: 👉 an assistant that can understand what you want and prepare for you in advance. That is exactly what memU bot does. ✨ It also has many reasons to try: ⚡ Very easy to use — download and run. No coding needed. 🔒 Local-first and secure, with no server dependency. 💸 Lower LLM token cost. A user-intention-driven proactive agent is born: before you even give a command, memU bot can already guess what kind of help you will need — based on your past behavior, habits, and context. 🧠 This is why it can work 24/7, continuously. ⏰ memU bot can support almost any kind of need — in your work, your life, and everything in between. 🌍 Still switching between AI tools and video editors to make a video? With memU bot, you don’t have to. Just a few short messages, and it can: 🎬 use tools to create the video, 📦 collect and organize materials automatically, 🚀 and publish it smoothly to social platforms.
0:53

memU bot is a highly personal, proactive AI assistant that adapts to your needs and gets things done for you. With traditional assistants, you must first give tasks and write prompts. They only act after you ask. But a better experience is this: 👉 an assistant that can understand what you want and prepare for you in advance. That is exactly what memU bot does. ✨ It also has many reasons to try: ⚡ Very easy to use — download and run. No coding needed. 🔒 Local-first and secure, with no server dependency. 💸 Lower LLM token cost. A user-intention-driven proactive agent is born: before you even give a command, memU bot can already guess what kind of help you will need — based on your past behavior, habits, and context. 🧠 This is why it can work 24/7, continuously. ⏰ memU bot can support almost any kind of need — in your work, your life, and everything in between. 🌍 Still switching between AI tools and video editors to make a video? With memU bot, you don’t have to. Just a few short messages, and it can: 🎬 use tools to create the video, 📦 collect and organize materials automatically, 🚀 and publish it smoothly to social platforms.

memU

364,321 Aufrufe • vor 6 Monaten

Reviewing AI-generated code is the new bottleneck. Writing code was slow before. Now, in a few minutes, you can generate virtually unlimited lines of code using AI. But developers are now spending 70% of their time checking that code. That's the new bottleneck. I've been using Cline, and they have a feature that actually helps with this: You can click a button and have Cline generate an inline explanation for every single line of AI-generated code. Take a look at the attached video. What it does: 1. You can read the code and the explanation together 2. You don't lose context while reviewing code 3. You understand the "why" behind each change And here is the best part: It works on any git diff. You can use it to review PRs, understand commits from other people, or catch up on a codebase you haven't touched in a while.
3:25

Reviewing AI-generated code is the new bottleneck. Writing code was slow before. Now, in a few minutes, you can generate virtually unlimited lines of code using AI. But developers are now spending 70% of their time checking that code. That's the new bottleneck. I've been using Cline, and they have a feature that actually helps with this: You can click a button and have Cline generate an inline explanation for every single line of AI-generated code. Take a look at the attached video. What it does: 1. You can read the code and the explanation together 2. You don't lose context while reviewing code 3. You understand the "why" behind each change And here is the best part: It works on any git diff. You can use it to review PRs, understand commits from other people, or catch up on a codebase you haven't touched in a while.

Santiago

64,438 Aufrufe • vor 8 Monaten

so much of work is what I like to call the “work around work” - switching between systems, chasing context, and stitching tools together to get things done company knowledge in chatgpt now does this for you it can reason across tools like slack, sharepoint, google drive, github, and more to get answers, do analysis, and take action using a version of gpt-5 that’s optimized for working with tools & providing citations company knowledge has changed how i use chatgpt at work more than anything we have built so far - let us know what you think!
0:37

so much of work is what I like to call the “work around work” - switching between systems, chasing context, and stitching tools together to get things done company knowledge in chatgpt now does this for you it can reason across tools like slack, sharepoint, google drive, github, and more to get answers, do analysis, and take action using a version of gpt-5 that’s optimized for working with tools & providing citations company knowledge has changed how i use chatgpt at work more than anything we have built so far - let us know what you think!

Brad Lightcap

315,830 Aufrufe • vor 10 Monaten

Fable has an impressive NPC system that Playground Games calls The Living Population: •More than 1,000 unique NPC’s. •Each NPC has a name, role, daily routine and their own personality. •You can follow them for a day and watch them live their life: They get up, go to work, spend some leisure time on hobbies, and go to bed. •You can talk to every single one of them in fully voiced conversations and interact in many different ways. #Fable
0:34

Fable has an impressive NPC system that Playground Games calls The Living Population: •More than 1,000 unique NPC’s. •Each NPC has a name, role, daily routine and their own personality. •You can follow them for a day and watch them live their life: They get up, go to work, spend some leisure time on hobbies, and go to bed. •You can talk to every single one of them in fully voiced conversations and interact in many different ways. #Fable

Rebs Gaming

56,605 Aufrufe • vor 7 Monaten

Introducing the new Box Agent. The Box Agent works across your entire Box file system, maintaining all your security and access controls, and is hyper tuned for working with enterprise content. This means you can now ask questions from all your enterprise content, search for files that were impossible to find before, deploy an agent on specific tasks on subsets of documents, analyze complex data sets, and generate or edit documents and spreadsheets via the agent. You can have the Box Agent search across your Box account to prepare for a sales meeting, analyze customer sentiment reports, process a large set of contracts for legal risk, provide insights into product development, leverage existing knowledge to answer RFPs, and thousands of other use-cases. 90% of enterprise data is unstructured data. This means most enterprise knowledge is sitting in inside of research reports, marketing assets, presentations, roadmap files, contracts, HR documents, and more. This is the critical context that agents need to be able to answer questions about a business, automate workflows, or serve up to other agents. We’ve been grinding on this for a quite a bit, and due to recent AI model advancements we’re now ready to release it to customers. Previous model generations had a difficult time knowing when to give up or keep going on a search, when to browse for files vs. use queries, how to rank files appropriately to know which version of content to use, how to handle large amounts of context to comb through, and more. Due to recent breakthroughs from models like GPT-5.4, Opus 4.6, and Gemini 3, we’ve seen major gains in tool calling, code execution, advanced reasoning, and more. Combined with an agent harness tuned to Box context, now it’s finally possible to have an agent that can work across your file system on long running tasks and actually deliver high quality results. Best of all, because the Box Agent works with any leading AI model, you’ll quickly get the gains coming out of the major labs as major new models are released. Further, openness at Box is key, so you’ll be able to call up the Box Agent from Box’s APIs and MCP server, so you can interact with Box intelligently from any other AI system. We know work happens everywhere, and we want to ensure you can access to the content you need from those places. The new Box Agent is available starting today, rolling out now for Enterprise Plus and Enterprise Advanced customers.
0:58

Introducing the new Box Agent. The Box Agent works across your entire Box file system, maintaining all your security and access controls, and is hyper tuned for working with enterprise content. This means you can now ask questions from all your enterprise content, search for files that were impossible to find before, deploy an agent on specific tasks on subsets of documents, analyze complex data sets, and generate or edit documents and spreadsheets via the agent. You can have the Box Agent search across your Box account to prepare for a sales meeting, analyze customer sentiment reports, process a large set of contracts for legal risk, provide insights into product development, leverage existing knowledge to answer RFPs, and thousands of other use-cases. 90% of enterprise data is unstructured data. This means most enterprise knowledge is sitting in inside of research reports, marketing assets, presentations, roadmap files, contracts, HR documents, and more. This is the critical context that agents need to be able to answer questions about a business, automate workflows, or serve up to other agents. We’ve been grinding on this for a quite a bit, and due to recent AI model advancements we’re now ready to release it to customers. Previous model generations had a difficult time knowing when to give up or keep going on a search, when to browse for files vs. use queries, how to rank files appropriately to know which version of content to use, how to handle large amounts of context to comb through, and more. Due to recent breakthroughs from models like GPT-5.4, Opus 4.6, and Gemini 3, we’ve seen major gains in tool calling, code execution, advanced reasoning, and more. Combined with an agent harness tuned to Box context, now it’s finally possible to have an agent that can work across your file system on long running tasks and actually deliver high quality results. Best of all, because the Box Agent works with any leading AI model, you’ll quickly get the gains coming out of the major labs as major new models are released. Further, openness at Box is key, so you’ll be able to call up the Box Agent from Box’s APIs and MCP server, so you can interact with Box intelligently from any other AI system. We know work happens everywhere, and we want to ensure you can access to the content you need from those places. The new Box Agent is available starting today, rolling out now for Enterprise Plus and Enterprise Advanced customers.

Aaron Levie

44,515 Aufrufe • vor 4 Monaten

Introducing Bond, the AI Chief of Staff for exceptional founders and executives. Running a company means constantly reconstructing context. What's blocking the team. Who owns this. Did we follow up. What changed since last week. What you're forgetting. That context lives everywhere: email, Slack, meetings, docs, tasks, CRMs. And gathering it eats the hours you should be spending on the work only you can do. BOND changes that. It connects to your tools, reads every notification as they come in, and tells you exactly what to focus on next. The best leaders aren't smarter than everyone else. They just know exactly where their attention should go. Bond makes that possible for everyone, not just the people who can afford a chief of staff. Today, anyone in the world can get their own AI Chief of Staff. Get yours now:
0:35

Introducing Bond, the AI Chief of Staff for exceptional founders and executives. Running a company means constantly reconstructing context. What's blocking the team. Who owns this. Did we follow up. What changed since last week. What you're forgetting. That context lives everywhere: email, Slack, meetings, docs, tasks, CRMs. And gathering it eats the hours you should be spending on the work only you can do. BOND changes that. It connects to your tools, reads every notification as they come in, and tells you exactly what to focus on next. The best leaders aren't smarter than everyone else. They just know exactly where their attention should go. Bond makes that possible for everyone, not just the people who can afford a chief of staff. Today, anyone in the world can get their own AI Chief of Staff. Get yours now:

Chloe Samaha

29,518 Aufrufe • vor 1 Monat

There’s a generational land grab playing out in enterprise software right now, and deployments are the frontier. But right now nobody can hire enough FDEs. It’s a brutal talent war. And even if you can hire them, your best people can only take on so many customers, so you’re forced to ration the high-touch deployment work for your most strategic accounts. Enter withgenera: founded by Will Patterson and James Honsa. Genera helps AI application companies scale white-glove deployments – using a combo of agents, humans, and pricing based on outcomes (not hours). They act as an extension of your in-house team so you can run every deployment like it’s your most critical customer. Fin and Ironclad are great examples. They’ve been using Genera and seen massive impact in scaling high-touch customer deployments (more in the video below on the impact at Fin). Proud to have led their $10M seed round and worked with this team from the very beginning of their story. They’re launching today and hiring across the board. More below:
1:30

There’s a generational land grab playing out in enterprise software right now, and deployments are the frontier. But right now nobody can hire enough FDEs. It’s a brutal talent war. And even if you can hire them, your best people can only take on so many customers, so you’re forced to ration the high-touch deployment work for your most strategic accounts. Enter withgenera: founded by Will Patterson and James Honsa. Genera helps AI application companies scale white-glove deployments – using a combo of agents, humans, and pricing based on outcomes (not hours). They act as an extension of your in-house team so you can run every deployment like it’s your most critical customer. Fin and Ironclad are great examples. They’ve been using Genera and seen massive impact in scaling high-touch customer deployments (more in the video below on the impact at Fin). Proud to have led their $10M seed round and worked with this team from the very beginning of their story. They’re launching today and hiring across the board. More below:

Todd Jackson

31,377 Aufrufe • vor 15 Tagen

I tested a new coding assistant on 34,568 lines of code. (Cursor could not achieve what this tool did.) AI models are improving every day: - Faster inference - Longer context lengths But are AI coding assistants advancing at the same rate? Can they truly understand your entire project? I tested Augment Code on my ai-engineering repo with ~35k lines of code. Augment Code is a powerful AI Assistant built for developers working with large, evolving codebases—needing an assistant that understands the full context of their projects. In the video demo below, I asked it to: - Merge two projects. - Answer a global context question. Here’s what happened: - It understood dependencies across both projects. - It merged them intelligently—without breaking anything. - It even created a README file for the merged project. - It answered my global query instantly, pulling from the full codebase. This is the difference between AI autocomplete and an AI engineer that truly understands your repo. Augment Code is powerful because it indexes your entire repo upfront. This way, it can answer questions instantly, no matter how large your project is. Lastly, Augment Code is fully compatible with VSCode, JetBrains, Vim, Slack, and more. Try them now, I have shared a link in the next tweet! Thanks to Augment Code for showing me their powerful AI coding assistant and working with me on this post.
0:31

I tested a new coding assistant on 34,568 lines of code. (Cursor could not achieve what this tool did.) AI models are improving every day: - Faster inference - Longer context lengths But are AI coding assistants advancing at the same rate? Can they truly understand your entire project? I tested Augment Code on my ai-engineering repo with ~35k lines of code. Augment Code is a powerful AI Assistant built for developers working with large, evolving codebases—needing an assistant that understands the full context of their projects. In the video demo below, I asked it to: - Merge two projects. - Answer a global context question. Here’s what happened: - It understood dependencies across both projects. - It merged them intelligently—without breaking anything. - It even created a README file for the merged project. - It answered my global query instantly, pulling from the full codebase. This is the difference between AI autocomplete and an AI engineer that truly understands your repo. Augment Code is powerful because it indexes your entire repo upfront. This way, it can answer questions instantly, no matter how large your project is. Lastly, Augment Code is fully compatible with VSCode, JetBrains, Vim, Slack, and more. Try them now, I have shared a link in the next tweet! Thanks to Augment Code for showing me their powerful AI coding assistant and working with me on this post.

Akshay 🚀

30,859 Aufrufe • vor 1 Jahr

It's wrong for parents to send their kids off to daycare just so they can "live their life" or work and not see them for the whole day. Children need at least one parent looking after them. Working is necessary, so one thing I would propose is for employers to offer in-office daycare services that will allow parents to attend to their children several times a day, and for work to mandate an hour-long break, only for parents and separate from their lunchbreak, so they can be with their kids. If more workplaces offered this, people would be more inclined to have children because the current system makes it very difficult for parents to be attentive and raise their kids and hold a good job at the same time.
0:58

It's wrong for parents to send their kids off to daycare just so they can "live their life" or work and not see them for the whole day. Children need at least one parent looking after them. Working is necessary, so one thing I would propose is for employers to offer in-office daycare services that will allow parents to attend to their children several times a day, and for work to mandate an hour-long break, only for parents and separate from their lunchbreak, so they can be with their kids. If more workplaces offered this, people would be more inclined to have children because the current system makes it very difficult for parents to be attentive and raise their kids and hold a good job at the same time.

Ian Miles Cheong

4,985,130 Aufrufe • vor 2 Jahren

Today, the future of IT support 𝘴𝘱𝘦𝘢𝘬𝘴 for itself! We’ve just launched Atomicwork’s Universal Agent, now available right from your browser with built-in Voice, Vision, Chat and Work AI capabilities! This isn’t just another update; it’s a revolutionary leap toward contextual, intelligent, real-time support. Atom understands what’s on your screen, listens to what you need, and guides you through tasks step by step. For years, IT support has meant navigating portals, raising tickets, and just waiting for help. @ Atom, the Universal Agent, changes that. It works where you work—in your browser, inside business apps you use at work like Salesforce or Jira to offer proactive and intuitive support with zero context-switching. 🗣️ Talks to you in natural language using Voice AI - Whether it’s fixing an access issue or fetching a sales report, just say it. Atom listens, responds, and walks you through the next-best actions in real time. 👁️ Sees what you can see using Vision AI – Finding it tough to explain what’s broken? Atom sees your screen, understands the issue you're facing and steps in to guide you. 💻 Works where you work using Work AI. The browser extension ensures that it’s available wherever you are and get help in whatever mode you prefer. This launch is just the beginning of a smarter, more seamless way to support employees and service teams alike. Support now can truly be accessed from anywhere, anytime! 💪 We can't wait for you to try out our Universal Agent for your varied enterprise support use cases 🚀 Sign up now to see it in action 🔗 🎦 Watch our team, Denin Siby, Bhavya Vats, Arkajit Datta, and Aishwarya 👾 Hariharan, take you through the core capabilities of the Universal Agent: . . . Vijay Rayapati Parsuram Vijayasankar Aparna Chugh Denin Siby Arkajit Datta
1:02

Today, the future of IT support 𝘴𝘱𝘦𝘢𝘬𝘴 for itself! We’ve just launched Atomicwork’s Universal Agent, now available right from your browser with built-in Voice, Vision, Chat and Work AI capabilities! This isn’t just another update; it’s a revolutionary leap toward contextual, intelligent, real-time support. Atom understands what’s on your screen, listens to what you need, and guides you through tasks step by step. For years, IT support has meant navigating portals, raising tickets, and just waiting for help. @ Atom, the Universal Agent, changes that. It works where you work—in your browser, inside business apps you use at work like Salesforce or Jira to offer proactive and intuitive support with zero context-switching. 🗣️ Talks to you in natural language using Voice AI - Whether it’s fixing an access issue or fetching a sales report, just say it. Atom listens, responds, and walks you through the next-best actions in real time. 👁️ Sees what you can see using Vision AI – Finding it tough to explain what’s broken? Atom sees your screen, understands the issue you're facing and steps in to guide you. 💻 Works where you work using Work AI. The browser extension ensures that it’s available wherever you are and get help in whatever mode you prefer. This launch is just the beginning of a smarter, more seamless way to support employees and service teams alike. Support now can truly be accessed from anywhere, anytime! 💪 We can't wait for you to try out our Universal Agent for your varied enterprise support use cases 🚀 Sign up now to see it in action 🔗 🎦 Watch our team, Denin Siby, Bhavya Vats, Arkajit Datta, and Aishwarya 👾 Hariharan, take you through the core capabilities of the Universal Agent: . . . Vijay Rayapati Parsuram Vijayasankar Aparna Chugh Denin Siby Arkajit Datta

Atomicwork

15,053 Aufrufe • vor 1 Jahr

SpaceXAI just released Grok Bot, your team of always-on, digital colleagues. I’ve been using them for a few weeks now, and I think this could be the product that brings agents to the mainstream. Bots have their own computer, and can log in and use your tools and apps just like you do. They take projects from start to end, come by with finished work, and keep running 24/7. • Can use any tool, no API or MCP connection required • You can message it from your computer or phone, just as you would an actual colleague • You can create group chats among Bots. They can also message each other, assign tasks, and share context • You can teach a Bot a workflow by recording it once. It saves the workflow as a reusable routine • Bots learn your voice and improve over time Grok Bot is available now (in beta) on desktop and iOS. SpaceXAI
1:09

SpaceXAI just released Grok Bot, your team of always-on, digital colleagues. I’ve been using them for a few weeks now, and I think this could be the product that brings agents to the mainstream. Bots have their own computer, and can log in and use your tools and apps just like you do. They take projects from start to end, come by with finished work, and keep running 24/7. • Can use any tool, no API or MCP connection required • You can message it from your computer or phone, just as you would an actual colleague • You can create group chats among Bots. They can also message each other, assign tasks, and share context • You can teach a Bot a workflow by recording it once. It saves the workflow as a reusable routine • Bots learn your voice and improve over time Grok Bot is available now (in beta) on desktop and iOS. SpaceXAI

Roberto Nickson

123,149 Aufrufe • vor 15 Tagen

Palantir CEO Alex Karp says people think we’re in an AI bubble because a lot of AI just doesn’t work: “If you just buy LLMs off the shelf and try to do any of this, it won’t work.” “It’s not precise enough. You can’t do underwriting. You can’t do these things that are regulated.” “People have tried things that just can never work. You buy a LLM, put it on your stack, and wonder why it’s not working.” “What you’re going to see, especially in America, is people trying to do something like Ontology by hand.” “Once you build a software layer to orchestrate and manage the LLMs in a language your enterprise understands, you actually can create value.” “There’s a lot of discussion on if we’re in an AI bubble. What is the meaning of this bubble? If anything, we’re just in a lag. There’s a lot of AI, some of it works.” “Go back to the battlefield context: everybody in the world assumed this would not work. But now it does work. Now the question is, ‘How can I get it to work for my country?’” “Palantir barely has a sales force. In fact, it seems to be getting smaller and smaller every time I go see them.”
3:13

Palantir CEO Alex Karp says people think we’re in an AI bubble because a lot of AI just doesn’t work: “If you just buy LLMs off the shelf and try to do any of this, it won’t work.” “It’s not precise enough. You can’t do underwriting. You can’t do these things that are regulated.” “People have tried things that just can never work. You buy a LLM, put it on your stack, and wonder why it’s not working.” “What you’re going to see, especially in America, is people trying to do something like Ontology by hand.” “Once you build a software layer to orchestrate and manage the LLMs in a language your enterprise understands, you actually can create value.” “There’s a lot of discussion on if we’re in an AI bubble. What is the meaning of this bubble? If anything, we’re just in a lag. There’s a lot of AI, some of it works.” “Go back to the battlefield context: everybody in the world assumed this would not work. But now it does work. Now the question is, ‘How can I get it to work for my country?’” “Palantir barely has a sales force. In fact, it seems to be getting smaller and smaller every time I go see them.”

Jawwwn

695,479 Aufrufe • vor 7 Monaten