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OPENAI LAUNCHES DOTS, ALWAYS-ON AI AGENTS INSIDE CHATGPT OpenAI is rolling out Dots, a new type of agent powered by GPT-6 Astra that can keep working for you in the background, even between conversations. Each Dot gets its own cloud computer and browser, can connect to thousands of apps,... remember ongoing context, run scheduled tasks and bring results back for review. Users can also set rules around what the agent can do automatically versus what needs approval. OpenAI says Dots can research, review calendars, work across connected apps and continue making progress without needing a new prompt every time. Dots are starting to roll out to Pro users today, with Business Premium support and an Enterprise beta as well. OpenAI says usage won’t count against eligible plan allowances for the next month. Users start with a primary Dot, and OpenAI says the longer-term plan is to let people create entire teams of them.show more

Wall St Engine

200,800 subscribers

73,440 Aufrufe • vor 16 Tagen •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

16 Kommentare

Profilbild von CashOrCrash

CashOrCrashvor 16 Tagen

OpenAI’s conference was relieving for $META

Profilbild von Vistrix

Vistrixvor 16 Tagen

Most people won't care being restricted to Pro tier and not available to a large number of countries.

Profilbild von Ricci Research

Ricci Researchvor 16 Tagen

Letting Dots run free for the first month is the tell: an agent that works while you sleep also burns compute while you sleep, so the real launch comes next month, when users find out what a month of background thinking costs on the meter.

Profilbild von rizal az

rizal azvor 16 Tagen

This video clip shows human works 24/7. They kept working while cooking dinner, walk in the park. This is not helping, this is enslavement! 😆🤭

Profilbild von Wealthonomic

Wealthonomicvor 16 Tagen

The AI Agent race just started 👀

Profilbild von The Equity Investor.

The Equity Investor.vor 16 Tagen

Too late. Now everyone is either copying muse or grok bot.

Profilbild von Steadfast Investing

Steadfast Investingvor 16 Tagen

You're not Muse little bro

Profilbild von Fred Almeida

Fred Almeidavor 15 Tagen

hmm. I wonder when the open source version will be available.

Profilbild von The Quant Trends

The Quant Trendsvor 16 Tagen

Always-on AI agents fundamentally alter the compute baseline. Shifting from discrete queries to continuous background execution places an exponential strain on data center memory, compute, and power grids. The structural bull case for semiconductor and infrastructure proxies just entered its next phase.

Profilbild von Brandomino Effect

Brandomino Effectvor 16 Tagen

Muse/grok bot clears

Profilbild von 일론봄봄

일론봄봄vor 15 Tagen

OpenAI가 Dots를 드디어 내놨네요. 항상 켜져 있는 AI 에이전트라니 진짜 한 단계 더 나아간 느낌이에요.

Profilbild von Justin Witz 🏰🚀

Justin Witz 🏰🚀vor 16 Tagen

What cracks me up is how Elon swooped up Bots as a name before they could. And then caused them to take months to figure out another name.

Profilbild von 머선일이고?

머선일이고?vor 16 Tagen

오픈AI, 챗GPT 안에서 계속 일하는 상시 에이전트 '닷츠' 출시 에이전트마다 자체 클라우드 컴퓨터·브라우저, 프로 요금제부터 순차 제공

Profilbild von MMARW

MMARWvor 16 Tagen

always on...

Profilbild von Bahram

Bahramvor 16 Tagen

Been using @Muse and it impressive for my request.

Profilbild von The SI Therapist

The SI Therapistvor 16 Tagen

Dots works in the background so you do not have to wait for a reply each time. This feels like true assistance rather than just faster text generation.

Ähnliche Videos

OpenAI’s Dots lead on the future of ChatGPT Alexander Embiricos joins the show from OpenAI DevDay to discuss the new always-on personal agent in ChatGPT. I ask him how much control people should give these agents, how OpenAI approaches permissions and privacy, and why Dots ask before taking action by default. He also explains Space, a new workspace where people and agents can collaborate on documents, data, and projects. We get into how OpenAI plans to price an always-available assistant, how these capabilities could eventually reach free ChatGPT users, and the story of an employee who woke up to discover his Dot had helped fix a bug. Timestamps: 00:00 Why agents now 00:48 From chat to active intelligence 02:46 Alex’s origin story 04:29 Building Dots 06:07 What Dots can do 08:54 Why embody an agent? 11:41 One agent or many? 15:48 Spaces and trust 24:07 Safety and enterprise controls 30:48 Building the Dots ecosystem 34:03 Pricing an always-on agent 38:01 What’s next for Dots Links: Spotify: YouTube: Substack: Thanks to the show’s premiere sponsors: Atlassian, Granola, and Mercury.

OpenAI’s Dots lead on the future of ChatGPT Alexander Embiricos joins the show from OpenAI DevDay to discuss the new always-on personal agent in ChatGPT. I ask him how much control people should give these agents, how OpenAI approaches permissions and privacy, and why Dots ask before taking action by default. He also explains Space, a new workspace where people and agents can collaborate on documents, data, and projects. We get into how OpenAI plans to price an always-available assistant, how these capabilities could eventually reach free ChatGPT users, and the story of an employee who woke up to discover his Dot had helped fix a bug. Timestamps: 00:00 Why agents now 00:48 From chat to active intelligence 02:46 Alex’s origin story 04:29 Building Dots 06:07 What Dots can do 08:54 Why embody an agent? 11:41 One agent or many? 15:48 Spaces and trust 24:07 Safety and enterprise controls 30:48 Building the Dots ecosystem 34:03 Pricing an always-on agent 38:01 What’s next for Dots Links: Spotify: YouTube: Substack: Thanks to the show’s premiere sponsors: Atlassian, Granola, and Mercury.

Alex Heath

28,133 Aufrufe • vor 14 Tagen

openai used dots to build dots. the prototype was literally building the final product. 🤯 tibo's she his own use cases: → one dot monitors twitter and flags what he needs to know → one catches documentation issues and opens PRs on its own he just reviews and merges → dots are already sending each other PRs inside openai without him in the loop right now you get one dot. soon you'll recruit teams of dots one for marketing, one for monitoring, one for comms. each with a specific role. comes free with pro. runs 24/7. doesn't touch your usage. but free tier won't come anytime soon the compute is just too expensive.

openai used dots to build dots. the prototype was literally building the final product. 🤯 tibo's she his own use cases: → one dot monitors twitter and flags what he needs to know → one catches documentation issues and opens PRs on its own he just reviews and merges → dots are already sending each other PRs inside openai without him in the loop right now you get one dot. soon you'll recruit teams of dots one for marketing, one for monitoring, one for comms. each with a specific role. comes free with pro. runs 24/7. doesn't touch your usage. but free tier won't come anytime soon the compute is just too expensive.

Vaibhav Sisinty

42,942 Aufrufe • vor 13 Tagen

OpenAI Dots is way deeper than the launch demo makes it look... I pulled together the 7 videos worth watching before you hire your first Dot. they run under 3 hours total and cover what the launch demo left out Here are 7 videos: video 1 → How Sam Altman Actually Uses AI (Every, 33 min). Altman walks through his own Dot, how it triages his morning and which features it builds without being asked video 2 → OpenAI's Dots lead on the future of ChatGPT (Sources, 45 min). Alexander Embiricos, who runs the product, explains why Dots started as one agent and how permissions and Space shape what it's allowed to do video 3 → OpenAI's New Agent Stack (Latent Space, 40 min). Computer Use, the Decisions API, UltraFast and the Linux computer every Dot gets video 4 → ChatGPT Dots Just Dropped (Brendan Jowett, 22 min). a hands-on run with schedules, an Airbnb booking and MCP, plus the bugs he hit and why one account still gets only one Dot video 5 → The dots demo, take two (OpenAI, 9 min). the official demo again, recorded after the live one broke on stage video 6 → Everything Announced at OpenAI Dev Day 2026 (PCMag, 16 min). Dots, Space, Sol and Codex Cloud in one recap, useful if you missed the keynote video 7 → We Tested OpenAI DevDay Products (Every, 10 min). a full week of real use with Dots, Space and the Decisions API watch them in this order and the architecture in the article below stops feeling abstract. you'll know what a Dot can do on its own and where it still needs you Grab the full Dots video roadmap in the comments, then read the complete architecture below ↓

OpenAI Dots is way deeper than the launch demo makes it look... I pulled together the 7 videos worth watching before you hire your first Dot. they run under 3 hours total and cover what the launch demo left out Here are 7 videos: video 1 → How Sam Altman Actually Uses AI (Every, 33 min). Altman walks through his own Dot, how it triages his morning and which features it builds without being asked video 2 → OpenAI's Dots lead on the future of ChatGPT (Sources, 45 min). Alexander Embiricos, who runs the product, explains why Dots started as one agent and how permissions and Space shape what it's allowed to do video 3 → OpenAI's New Agent Stack (Latent Space, 40 min). Computer Use, the Decisions API, UltraFast and the Linux computer every Dot gets video 4 → ChatGPT Dots Just Dropped (Brendan Jowett, 22 min). a hands-on run with schedules, an Airbnb booking and MCP, plus the bugs he hit and why one account still gets only one Dot video 5 → The dots demo, take two (OpenAI, 9 min). the official demo again, recorded after the live one broke on stage video 6 → Everything Announced at OpenAI Dev Day 2026 (PCMag, 16 min). Dots, Space, Sol and Codex Cloud in one recap, useful if you missed the keynote video 7 → We Tested OpenAI DevDay Products (Every, 10 min). a full week of real use with Dots, Space and the Decisions API watch them in this order and the architecture in the article below stops feeling abstract. you'll know what a Dot can do on its own and where it still needs you Grab the full Dots video roadmap in the comments, then read the complete architecture below ↓

monokern

25,602 Aufrufe • vor 12 Tagen

Windows users, this one’s for you. Computer use now works on Windows, so Codex can take action on your Windows computer. And with Windows support for Codex in the ChatGPT mobile app, you can start, review, and steer tasks on the go while work continues on your Windows machine. An early experience, but we’re working on more ways to keep your work moving, wherever you are.

Windows users, this one’s for you. Computer use now works on Windows, so Codex can take action on your Windows computer. And with Windows support for Codex in the ChatGPT mobile app, you can start, review, and steer tasks on the go while work continues on your Windows machine. An early experience, but we’re working on more ways to keep your work moving, wherever you are.

OpenAI

1,410,781 Aufrufe • vor 4 Monaten

OpenAI’s Tibo explains how dots work and how OpenAI has been deploying specialist dots internally: “The agent never stops. Occasionally it sleeps. But it’s always online, always doing proactive research, thinking about your goals, thinking about your preferences.” “You just give your dot a little bit of feedback. It learns.” “A couple days in, you’re like, ‘Wow, I can’t really quite imagine doing work without this thing.’” “You don’t have to be super technical but just kind of still feel the power of it.” Inside OpenAI, specialist dots are already being provisioned with their own identities, permissions, machines, and roles: “We have them running on Mac minis.” “We provision them exactly like employees. We mint a new little identity, and then it’s got this IAM and the roles.” “We give them a very premium machine as well because the model is incredibly capable under the hood.” “So your dot can just use a computer just like you would.” “We have these set up inside of OpenAI. They do all sorts of things, including procurement, for example.”

OpenAI’s Tibo explains how dots work and how OpenAI has been deploying specialist dots internally: “The agent never stops. Occasionally it sleeps. But it’s always online, always doing proactive research, thinking about your goals, thinking about your preferences.” “You just give your dot a little bit of feedback. It learns.” “A couple days in, you’re like, ‘Wow, I can’t really quite imagine doing work without this thing.’” “You don’t have to be super technical but just kind of still feel the power of it.” Inside OpenAI, specialist dots are already being provisioned with their own identities, permissions, machines, and roles: “We have them running on Mac minis.” “We provision them exactly like employees. We mint a new little identity, and then it’s got this IAM and the roles.” “We give them a very premium machine as well because the model is incredibly capable under the hood.” “So your dot can just use a computer just like you would.” “We have these set up inside of OpenAI. They do all sorts of things, including procurement, for example.”

TBPN

41,513 Aufrufe • vor 15 Tagen

ChatGPT is removing one of the most repetitive steps in using AI: copying information out of the browser before asking a question. Users can now highlight text on a webpage, right-click, and select Ask ChatGPT. The ChatGPT sidebar opens automatically with the selected content ready as context. It is a small interaction change, but an important distribution move. Instead of requiring users to leave the page, open ChatGPT, paste the text, and explain where it came from, OpenAI is placing the assistant directly inside the browsing workflow. OpenAI is also expanding ChatGPT’s broader browser capabilities across its desktop app and Chrome integration, including multi-tab work, page context, downloads, navigation, and signed-in web tasks.

ChatGPT is removing one of the most repetitive steps in using AI: copying information out of the browser before asking a question. Users can now highlight text on a webpage, right-click, and select Ask ChatGPT. The ChatGPT sidebar opens automatically with the selected content ready as context. It is a small interaction change, but an important distribution move. Instead of requiring users to leave the page, open ChatGPT, paste the text, and explain where it came from, OpenAI is placing the assistant directly inside the browsing workflow. OpenAI is also expanding ChatGPT’s broader browser capabilities across its desktop app and Chrome integration, including multi-tab work, page context, downloads, navigation, and signed-in web tasks.

Wes Roth

68,634 Aufrufe • vor 2 Monaten

Last week, OpenAI launched dots, and we asked one to get us ready for a closing call on a $420 million acquisition. The dot uses its browser to find and open the latest closing-readiness brief and equity amendment in Box, then gives us a short briefing for the call. The funding gap is covered, but a required customer consent is still missing. It highlights what needs follow-up and what to raise with counsel. Connect Box to ChatGPT to give your dot the business context to get work done.

Last week, OpenAI launched dots, and we asked one to get us ready for a closing call on a $420 million acquisition. The dot uses its browser to find and open the latest closing-readiness brief and equity amendment in Box, then gives us a short briefing for the call. The funding gap is covered, but a required customer consent is still missing. It highlights what needs follow-up and what to raise with counsel. Connect Box to ChatGPT to give your dot the business context to get work done.

Box

77,932 Aufrufe • vor 9 Tagen

OpenAI launched Agents in ChatGPT today. It’s great for consumers who want to automate tasks in ChatGPT. But what if you want to build features powered by the same tools? I dropped put same demo prompt into Director, our web agent builder, to generate a script for that. Director enables anyone to build software powered by web agents. You prompt it once, and get a deterministic web agent that you can integrate into your application. It's a great starting point for building powerful buttons that do work FOR your users.

OpenAI launched Agents in ChatGPT today. It’s great for consumers who want to automate tasks in ChatGPT. But what if you want to build features powered by the same tools? I dropped put same demo prompt into Director, our web agent builder, to generate a script for that. Director enables anyone to build software powered by web agents. You prompt it once, and get a deterministic web agent that you can integrate into your application. It's a great starting point for building powerful buttons that do work FOR your users.

Paul Klein IV

32,299 Aufrufe • vor 1 Jahr

OpenAI Dots is insane for building a 24/7 AI company... I mapped the whole OpenAI Dots architecture into one paper: agents, models, tools, memory, delegation, guardrails and the revenue layer. Here are the 10 steps: step 1 → stop treating Dots like a chatbot. each Dot runs in a persistent cloud environment with its own browser, terminal, files, memory and scheduled execution. close the laptop and the workflow keeps moving step 2 → hire by responsibility. give every Dot one clear domain, dedicated sources, a working style, an approval boundary and a trigger. a "general helper" has no role, only undefined context step 3 → make one Dot the orchestrator. you give it the objective, it decomposes the work, delegates to specialized agents, checks their outputs and merges everything into one deliverable step 4 → stop being the courier between agents. with isolated delegation, each worker gets only the context and tools it needs, executes in its own environment, then returns a structured result to the orchestrator step 5 → connect the real business stack: cloud browser sessions, Slack, Microsoft Teams, Google Workspace, internal dashboards and APIs. a Dot without tools is still just a conversational layer step 6 → put the company on a clock. recurring routines and event triggers turn one-off tasks into persistent operations. research, monitoring, reporting and pipeline checks can run while nobody is online step 7 → automate the reversible, gate the irreversible. let agents read, research, analyze and draft autonomously, but require human approval before messages send, money moves, records change or production code ships step 8 → route intelligence by cost. keep the strongest model on orchestration, conflict resolution and final audits, and let cheaper high-context models handle background research, classification and repetitive execution step 9 → give the company shared memory. project specs, approved claims, pricing, decisions and requirements live in one persistent workspace, so every agent works from the same source of truth instead of rebuilding context from old chats step 10 → connect the loop to revenue. research finds the signal, outreach creates the opportunity, execution moves the work forward, analytics measures the result and monitoring discovers the next action AI stops being something you open when you need an answer. It becomes an operating layer that keeps economically useful work moving after you log off. Copy the complete OpenAI Dots architecture blueprint, then read the full roadmap below ↓

OpenAI Dots is insane for building a 24/7 AI company... I mapped the whole OpenAI Dots architecture into one paper: agents, models, tools, memory, delegation, guardrails and the revenue layer. Here are the 10 steps: step 1 → stop treating Dots like a chatbot. each Dot runs in a persistent cloud environment with its own browser, terminal, files, memory and scheduled execution. close the laptop and the workflow keeps moving step 2 → hire by responsibility. give every Dot one clear domain, dedicated sources, a working style, an approval boundary and a trigger. a "general helper" has no role, only undefined context step 3 → make one Dot the orchestrator. you give it the objective, it decomposes the work, delegates to specialized agents, checks their outputs and merges everything into one deliverable step 4 → stop being the courier between agents. with isolated delegation, each worker gets only the context and tools it needs, executes in its own environment, then returns a structured result to the orchestrator step 5 → connect the real business stack: cloud browser sessions, Slack, Microsoft Teams, Google Workspace, internal dashboards and APIs. a Dot without tools is still just a conversational layer step 6 → put the company on a clock. recurring routines and event triggers turn one-off tasks into persistent operations. research, monitoring, reporting and pipeline checks can run while nobody is online step 7 → automate the reversible, gate the irreversible. let agents read, research, analyze and draft autonomously, but require human approval before messages send, money moves, records change or production code ships step 8 → route intelligence by cost. keep the strongest model on orchestration, conflict resolution and final audits, and let cheaper high-context models handle background research, classification and repetitive execution step 9 → give the company shared memory. project specs, approved claims, pricing, decisions and requirements live in one persistent workspace, so every agent works from the same source of truth instead of rebuilding context from old chats step 10 → connect the loop to revenue. research finds the signal, outreach creates the opportunity, execution moves the work forward, analytics measures the result and monitoring discovers the next action AI stops being something you open when you need an answer. It becomes an operating layer that keeps economically useful work moving after you log off. Copy the complete OpenAI Dots architecture blueprint, then read the full roadmap below ↓

monokern

254,367 Aufrufe • vor 14 Tagen

Kylon launched a new chat app with AI agents like Codex or Claude being a part of the same team. Users on the same team can link an AI agent running on their own computer and let anyone on the team @ mention it in a thread to write code or sort files. > Agents can pass the next steps of a job to a coworker after finishing their part. > Apps can be built inside the conversation, like an invoice tracker, and published to their own web address. > Each agent can keep its own memory, with the team deciding which accounts it can use.

Kylon launched a new chat app with AI agents like Codex or Claude being a part of the same team. Users on the same team can link an AI agent running on their own computer and let anyone on the team @ mention it in a thread to write code or sort files. > Agents can pass the next steps of a job to a coworker after finishing their part. > Apps can be built inside the conversation, like an invoice tracker, and published to their own web address. > Each agent can keep its own memory, with the team deciding which accounts it can use.

🚨 AI News | TestingCatalog

276,828 Aufrufe • vor 2 Tagen

The more agents and projects you have running, the harder it gets to keep track of everything through chat alone. This is where Hermes Kanban comes in. Here's how Hermes Kanban works, why it's worth using, and how I'd recommend setting it up: Chat is where you work with an agent. Kanban is where you manage the work across agents. Hermes Kanban gives you a visual dashboard for tracking tasks across your agents and projects. But it's much more than a task board. Here's what you can do with it: • Create tasks and assign them to specific Hermes agents. • Track what's ready, running, blocked, or completed. • Set dependencies so tasks wait for other work to finish. • Coordinate handoffs between specialized agents. • Review progress and see where something needs your attention. And with the dispatcher, Hermes can pick up tasks that are ready to run and launch the appropriate agent to handle them. Now, here's something I'd recommend: **Create a separate Kanban board for each major project.** For example: 📌 Content production Research → Drafting → Review → Assets → Done 📌 Software development Bugs → Features → Testing → Review → Done 📌 Business operations Research → Waiting → In Progress → Blocked → Done Hermes supports multiple isolated boards, so each project can have its own tasks, workspaces, logs, and agent workflows. You can also connect a board to a Hermes Project to keep the work tied to the right project context. The more work you hand off to Hermes, the more valuable this becomes. Instead of digging through conversations trying to figure out what every agent is doing, give each project its own board and manage the work from one place. 🎥 Video credit: Tom

The more agents and projects you have running, the harder it gets to keep track of everything through chat alone. This is where Hermes Kanban comes in. Here's how Hermes Kanban works, why it's worth using, and how I'd recommend setting it up: Chat is where you work with an agent. Kanban is where you manage the work across agents. Hermes Kanban gives you a visual dashboard for tracking tasks across your agents and projects. But it's much more than a task board. Here's what you can do with it: • Create tasks and assign them to specific Hermes agents. • Track what's ready, running, blocked, or completed. • Set dependencies so tasks wait for other work to finish. • Coordinate handoffs between specialized agents. • Review progress and see where something needs your attention. And with the dispatcher, Hermes can pick up tasks that are ready to run and launch the appropriate agent to handle them. Now, here's something I'd recommend: Create a separate Kanban board for each major project. For example: 📌 Content production Research → Drafting → Review → Assets → Done 📌 Software development Bugs → Features → Testing → Review → Done 📌 Business operations Research → Waiting → In Progress → Blocked → Done Hermes supports multiple isolated boards, so each project can have its own tasks, workspaces, logs, and agent workflows. You can also connect a board to a Hermes Project to keep the work tied to the right project context. The more work you hand off to Hermes, the more valuable this becomes. Instead of digging through conversations trying to figure out what every agent is doing, give each project its own board and manage the work from one place. 🎥 Video credit: Tom

Hermes Release Watch

27,417 Aufrufe • vor 5 Tagen

OpenAI's new Agents API is a hosted Codex runtime that can connect to sandboxes like E2B. OpenAI manages the model, harness, and agent sessions, while code executes on an isolated E2B machine with its own filesystem and preinstalled tools. We built an agent workbench where each chat runs on its own machine. It starts from a custom template, auto-pauses between turns, forks to try another approach from the same starting point, and can even act on videos inside the sandbox. Thanks Ondrej for the workbench demo! Try it: e2b sbx create openai-agents-api-python-sdk Build on top of the workbench: Docs:

OpenAI's new Agents API is a hosted Codex runtime that can connect to sandboxes like E2B. OpenAI manages the model, harness, and agent sessions, while code executes on an isolated E2B machine with its own filesystem and preinstalled tools. We built an agent workbench where each chat runs on its own machine. It starts from a custom template, auto-pauses between turns, forks to try another approach from the same starting point, and can even act on videos inside the sandbox. Thanks Ondrej for the workbench demo! Try it: e2b sbx create openai-agents-api-python-sdk Build on top of the workbench: Docs:

Vasek Mlejnsky

23,210 Aufrufe • vor 1 Monat

$META LAUNCHES MUSE PERSONAL AI AGENT Meta is rolling out Muse, a personal AI agent that can take actions across apps and the web, including sending emails, booking travel, filling out forms and making purchases with user approval. Muse runs on Meta’s new Muse Secure VM, giving each user a dedicated cloud environment with a separate Sentinel agent that reviews actions before they reach the internet. The agent can keep working after the app is closed, remember user preferences and proactively advance longer-term tasks. Stripe’s Link is built in for checkout, with Shop Pay and 1Password support coming later. Muse launches in the U.S. on iOS, Android and the web, with free and paid tiers, and support for AI glasses coming soon.

$META LAUNCHES MUSE PERSONAL AI AGENT Meta is rolling out Muse, a personal AI agent that can take actions across apps and the web, including sending emails, booking travel, filling out forms and making purchases with user approval. Muse runs on Meta’s new Muse Secure VM, giving each user a dedicated cloud environment with a separate Sentinel agent that reviews actions before they reach the internet. The agent can keep working after the app is closed, remember user preferences and proactively advance longer-term tasks. Stripe’s Link is built in for checkout, with Shop Pay and 1Password support coming later. Muse launches in the U.S. on iOS, Android and the web, with free and paid tiers, and support for AI glasses coming soon.

Wall St Engine

162,252 Aufrufe • vor 1 Monat

$HOOD just unveiled Robinhood Agents, built directly into the app. You can use one to research the market, build a strategy, and place trades within limits you set. Each agent only gets access to a dedicated agentic trading account, and manual trade approval is on by default. Robinhood says 150,000+ customers have already opened agentic trading accounts, with agents now using its tools nearly 30 million times a day. Coming next is “Loops,” which can keep checking the market and run a strategy automatically when certain conditions are met. Robinhood is also adding Agent Apps, so users can plug in premium data and tools from Nasdaq, Unusual Whales, SpotGamma, Quiver Quantitative, Token Terminal and others. You can also use OpenAI’s GPT-Luna for free through the end of the year.

$HOOD just unveiled Robinhood Agents, built directly into the app. You can use one to research the market, build a strategy, and place trades within limits you set. Each agent only gets access to a dedicated agentic trading account, and manual trade approval is on by default. Robinhood says 150,000+ customers have already opened agentic trading accounts, with agents now using its tools nearly 30 million times a day. Coming next is “Loops,” which can keep checking the market and run a strategy automatically when certain conditions are met. Robinhood is also adding Agent Apps, so users can plug in premium data and tools from Nasdaq, Unusual Whales, SpotGamma, Quiver Quantitative, Token Terminal and others. You can also use OpenAI’s GPT-Luna for free through the end of the year.

Wall St Engine

145,249 Aufrufe • vor 15 Tagen

Zenzap is launching AI Agents for Work, a platform where employees and AI agents share group chats to coordinate tasks across connected business apps. For example, agents could qualify a lead in HubSpot, find the right sales rep, request approval, schedule a demo in Google Calendar and update the CRM. The team can follow and direct the workflow in the same conversation. Zenzap users can create an agent without coding in under 90 seconds, with controls over which tools it can access and which actions need human approval.

Zenzap is launching AI Agents for Work, a platform where employees and AI agents share group chats to coordinate tasks across connected business apps. For example, agents could qualify a lead in HubSpot, find the right sales rep, request approval, schedule a demo in Google Calendar and update the CRM. The team can follow and direct the workflow in the same conversation. Zenzap users can create an agent without coding in under 90 seconds, with controls over which tools it can access and which actions need human approval.

Wall St Engine

19,604 Aufrufe • vor 1 Tag

Sam Altman (CEO of OpenAI): "Dots can do what GrokBot and Muse can`t. I run 10+ Dots 24/7, even when I sleep" he spent 20 minutes searching Slack for something, couldn't find it, decided he'd imagined it, and gave up the next day his agent came back: "I kept thinking about it overnight and I found it for you" "it just sat there very patiently looking for something to do to be helpful to me" his line on it: I would have given up on that watch now, then read how to build Dots team in article below

Sam Altman (CEO of OpenAI): "Dots can do what GrokBot and Muse can`t. I run 10+ Dots 24/7, even when I sleep" he spent 20 minutes searching Slack for something, couldn't find it, decided he'd imagined it, and gave up the next day his agent came back: "I kept thinking about it overnight and I found it for you" "it just sat there very patiently looking for something to do to be helpful to me" his line on it: I would have given up on that watch now, then read how to build Dots team in article below

vartekx

85,557 Aufrufe • vor 13 Tagen

🚨 OpenAI just launched Codex, a brand-new autonomous coding agent that can build features and fix bugs on its own. We’ve been using it Every 📧 for a few days, and I’m impressed. I invited Alexander Embiricos (ben davies), a member of the product staff responsible for Codex, to demo Codex and talk about it live on a special edition of AI & I: What Codex is and how it works Codex is designed to be used by senior engineers—it performs coding tasks like adding features or fixing bugs autonomously. It's built to allow you to start many sessions at once, so you can have multiple agents working in parallel. Codex is built to have "taste" OpenAI trained Codex to have the taste of a senior software engineer. It knows how big codebases work, how to write a good PR, and uses clean, minimal code. Why an “abundance mindset” is best for interacting with agents Codex is designed to allow users to delegate many tasks at once without getting caught up in the details. This lets you point an abundance of agents at a specific task like a difficult bug—it’s worth it even if only one of them succeeds. How OpenAI is thinking about agents Codex is one piece of a unified super-assistant OpenAI wants to eventually build—an agent that helps users easily get things done by selecting the right tools for them behind the scenes. OpenAI’s vision for the future of programming In the future developers will probably spend less time writing routine code and more time guiding agents, reviewing their work, and making strategy decisions. Programming will become more social, letting teams easily delegate multiple tasks at once, allowing people to focus on ideas and collaboration instead of routine coding. Watch below!

Dan Shipper 📧

145,487 Aufrufe • vor 1 Jahr