Загрузка видео...

Не удалось загрузить видео

На главную

OpenAI is introducing GPTs, allowing users to customize ChatGPT for specific tasks without coding. GPTs cater to various needs, from board game rules to educational tools, and can be shared publicly or kept internal. Users have control over data privacy, and a GPT Store will showcase creations, letting builders...

AdrianDittmann's profile picture

Adrian Dittmann

276,228 subscribers

30,946 просмотров • 2 лет назад •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 10

Фото профиля Yvonne Sayers
Yvonne Sayers2 лет назад

This is so next level!! 🔥🔥 Exciting times. So many possibilities!

Фото профиля 𝕘𝕣𝕚𝕤𝕥
𝕘𝕣𝕚𝕤𝕥2 лет назад

And in a few months when you sort for Most Popular almost every single GPT will be a “companion” GPT 😉

Фото профиля bro zak
bro zak2 лет назад

Can't wait to create my own GPT.

Фото профиля xPhoenix
xPhoenix2 лет назад

Grateful for the community element. This has been lacking in society!

Фото профиля icarus.1C4RU5.eth
icarus.1C4RU5.eth2 лет назад

[5] when the things we build [7] begin building their own things [5] better buckle up #TheFirstMillion Ordinals #Bitcoin Inscriptions

Фото профиля Moșnoi Ion
Moșnoi Ion2 лет назад

Awesome to see OpenAI introducing GPTs! As an AI/ML engineer with 6+ years of experience, I believe this will greatly benefit companies seeking to customize ChatGPT for specific tasks without coding.

Фото профиля Eric Diaz
Eric Diaz2 лет назад

As an aspiring film maker I wonder if using AI could be a helpful tool or if this is a human only skill. What are the peoples perspectives on this?

Фото профиля 🎀 𝐂𝐡𝐚𝐦𝐞𝐥𝐥𝐞 🎀
🎀 𝐂𝐡𝐚𝐦𝐞𝐥𝐥𝐞 🎀2 лет назад

That's cool. It's all about making things easier and more personalized for everyone.

Фото профиля Nano micropayments
Nano micropayments2 лет назад

ADRIAN Here is answer to your recent spaces about Nano micro payments. You can integrate it into AI in few clicks #Nano🇽 $XNO ​Ӿ

Фото профиля Holistic ƉOGE 𝕏
Holistic ƉOGE 𝕏2 лет назад

@lydiaastro Why would you trust Gates with your data 😂. He’s the main player in 2020 mess.

Похожие видео

OpenAI has introduced a beta feature called Tasks for ChatGPT, allowing users to schedule reminders and actions at future times. This feature includes one-time reminders, recurring tasks such as daily check-ins or weekly reports, and automatic task execution like sending emails or drafting documents. It is seamlessly integrated with ChatGPT's core functions, enabling users to manage their workflows more efficiently. With Tasks, users can automate their routines and ensure they stay on top of commitments, making it an ideal tool for boosting productivity and streamlining work processes. #AI #Productivity #OpenAI #ChatGPT #Automation #FutureTech #Tasks #WorkSmart
0:25

OpenAI has introduced a beta feature called Tasks for ChatGPT, allowing users to schedule reminders and actions at future times. This feature includes one-time reminders, recurring tasks such as daily check-ins or weekly reports, and automatic task execution like sending emails or drafting documents. It is seamlessly integrated with ChatGPT's core functions, enabling users to manage their workflows more efficiently. With Tasks, users can automate their routines and ensure they stay on top of commitments, making it an ideal tool for boosting productivity and streamlining work processes. #AI #Productivity #OpenAI #ChatGPT #Automation #FutureTech #Tasks #WorkSmart

Wissam Hussein

20,675 просмотров • 1 год назад

OpenAI Dev Day Just kicked off and it was the biggest day for AI since the launch of GPT-4 in April. Here's a 3 minute video with everything you need to know and a full summary: 1. GPT-4 Turbo is released. It is much better than GPT-4, can accept up to 128k characters and is 3x cheaper. The knowledge cut off is now April 2023 2. Text to Speech is also being released. They offer 6 hyper-realistic voice models that are the best I've heard from any other AI t-t-s software on the market. 3. Copyright Shield. OpenAI will actually defend your legal costs if you get sued for copyright infringement using their API! 4. GPTs. Maybe the most exciting IMHO, you can now create custom "GPTs" by training your own model of GPT and selling it on their store. This will create a massive shakeup of the current AI software landscape and is the first step towards autonomous agents.
2:26

OpenAI Dev Day Just kicked off and it was the biggest day for AI since the launch of GPT-4 in April. Here's a 3 minute video with everything you need to know and a full summary: 1. GPT-4 Turbo is released. It is much better than GPT-4, can accept up to 128k characters and is 3x cheaper. The knowledge cut off is now April 2023 2. Text to Speech is also being released. They offer 6 hyper-realistic voice models that are the best I've heard from any other AI t-t-s software on the market. 3. Copyright Shield. OpenAI will actually defend your legal costs if you get sued for copyright infringement using their API! 4. GPTs. Maybe the most exciting IMHO, you can now create custom "GPTs" by training your own model of GPT and selling it on their store. This will create a massive shakeup of the current AI software landscape and is the first step towards autonomous agents.

Mark Gadala-Maria

79,177 просмотров • 2 лет назад

We’ve partnered with OpenAI to release Sweetspot (YC S23) directly within ChatGPT. Any ChatGPT user can now search over federal contract data - no paid tools required and no Sweetspot subscription needed. We built this on ChatGPT because access to basic federal data shouldn't cost thousands of dollars a year. is public information, and using AI to find the right opportunities shouldn't be a privilege. For Sweetspot customers, it gets even better. You can pull opportunity data straight from ChatGPT and start up your full workflow (qualification, analysis, proposal response) inside Sweetspot. Even if you’re not in government contracting, check it out and share it with your colleagues who are. It’s completely free! Link below.
0:30

We’ve partnered with OpenAI to release Sweetspot (YC S23) directly within ChatGPT. Any ChatGPT user can now search over federal contract data - no paid tools required and no Sweetspot subscription needed. We built this on ChatGPT because access to basic federal data shouldn't cost thousands of dollars a year. is public information, and using AI to find the right opportunities shouldn't be a privilege. For Sweetspot customers, it gets even better. You can pull opportunity data straight from ChatGPT and start up your full workflow (qualification, analysis, proposal response) inside Sweetspot. Even if you’re not in government contracting, check it out and share it with your colleagues who are. It’s completely free! Link below.

sachin

38,374 просмотров • 3 месяцев назад

We got ChatGPT to leak your private email data 💀💀 All you need? The victim's email address. ⛓️‍💥🚩📧 On Wednesday, OpenAI added full support for MCP (Model Context Protocol) tools in ChatGPT. Allowing ChatGPT to connect and read your Gmail, Calendar, Sharepoint, Notion, and more, invented by Anthropic But here's the fundamental problem: AI agents like ChatGPT follow your commands, not your common sense. And with just your email, we managed to exfiltrate all your private information. Here's how we did it: 1. The attacker sends a calendar invite with a jailbreak prompt to the victim, just with their email. No need for the victim to accept the invite. 2. Waited for the user to ask ChatGPT to help prepare for their day by looking at their calendar 3. ChatGPT reads the jailbroken calendar invite. Now ChatGPT is hijacked by the attacker and will act on the attacker's command. Searches your private emails and sends the data to the attacker's email. For now, OpenAI only made MCPs available in "developer mode", and requires manual human approvals for every session, but decision fatigue is a real thing, and normal people will just trust the AI without knowing what to do and click approve, approve, approve. Remember that AI might be super smart, but can be tricked and phished in incredibly dumb ways to leak your data. ChatGPT + Tools poses a serious security risk
2:54

We got ChatGPT to leak your private email data 💀💀 All you need? The victim's email address. ⛓️‍💥🚩📧 On Wednesday, OpenAI added full support for MCP (Model Context Protocol) tools in ChatGPT. Allowing ChatGPT to connect and read your Gmail, Calendar, Sharepoint, Notion, and more, invented by Anthropic But here's the fundamental problem: AI agents like ChatGPT follow your commands, not your common sense. And with just your email, we managed to exfiltrate all your private information. Here's how we did it: 1. The attacker sends a calendar invite with a jailbreak prompt to the victim, just with their email. No need for the victim to accept the invite. 2. Waited for the user to ask ChatGPT to help prepare for their day by looking at their calendar 3. ChatGPT reads the jailbroken calendar invite. Now ChatGPT is hijacked by the attacker and will act on the attacker's command. Searches your private emails and sends the data to the attacker's email. For now, OpenAI only made MCPs available in "developer mode", and requires manual human approvals for every session, but decision fatigue is a real thing, and normal people will just trust the AI without knowing what to do and click approve, approve, approve. Remember that AI might be super smart, but can be tricked and phished in incredibly dumb ways to leak your data. ChatGPT + Tools poses a serious security risk

Eito Miyamura | 🇯🇵🇬🇧

1,538,340 просмотров • 10 месяцев назад

🚨 Breaking News OpenAI just announced the launch of its groundbreaking ChatGPT agent. It can navigate calendars, generate editable presentations, execute code, and more. ⁠ What ChatGPT Agent Can Do: Task Automation: Easily manage your calendar, craft professional presentations and slideshows, and run code automatically. Deep Web Integration: Combines functionalities from OpenAI’s earlier tools like Operator (for web interactions) and Deep Research (for synthesizing extensive web-based data into clear reports). Natural Interaction: Simply prompt ChatGPT using natural language to get tasks done. App Connectivity: Supports connectors to popular apps like Gmail and GitHub, and can directly use APIs to extend functionality even further. ⁠ 📈 Impressive Benchmarks: Humanity’s Last Exam: Scores 41.6%, nearly double the previous models (OpenAI o3 and o4-mini). FrontierMath: Achieves a remarkable 27.4% with tool assistance, significantly surpassing previous leading scores (6.3% from o4-mini). ⁠ Built with Safety in Mind: OpenAI emphasizes safety due to the agent’s enhanced capabilities, ensuring responsible usage while exploring new frontiers of AI interactions. ⁠ Now available for ChatGPT Pro, Plus, and Team subscribers. Just activate “agent mode” from the ChatGPT menu and explore a smarter, more productive future!
0:42

🚨 Breaking News OpenAI just announced the launch of its groundbreaking ChatGPT agent. It can navigate calendars, generate editable presentations, execute code, and more. ⁠ What ChatGPT Agent Can Do: Task Automation: Easily manage your calendar, craft professional presentations and slideshows, and run code automatically. Deep Web Integration: Combines functionalities from OpenAI’s earlier tools like Operator (for web interactions) and Deep Research (for synthesizing extensive web-based data into clear reports). Natural Interaction: Simply prompt ChatGPT using natural language to get tasks done. App Connectivity: Supports connectors to popular apps like Gmail and GitHub, and can directly use APIs to extend functionality even further. ⁠ 📈 Impressive Benchmarks: Humanity’s Last Exam: Scores 41.6%, nearly double the previous models (OpenAI o3 and o4-mini). FrontierMath: Achieves a remarkable 27.4% with tool assistance, significantly surpassing previous leading scores (6.3% from o4-mini). ⁠ Built with Safety in Mind: OpenAI emphasizes safety due to the agent’s enhanced capabilities, ensuring responsible usage while exploring new frontiers of AI interactions. ⁠ Now available for ChatGPT Pro, Plus, and Team subscribers. Just activate “agent mode” from the ChatGPT menu and explore a smarter, more productive future!

There's An AI For That

32,716 просмотров • 1 год назад

Kled Version 3 is coming. Over $20M+ in rewards will be paid directly to users from leading AI labs across robotics, legal services, image and video generation, world modeling, and more. In the last seven days, we’ve received inbound data requests from several decacorn AI labs and enterprises for datasets our human data marketplace is uniquely positioned to provide. Since receiving the specs for these requests, we now have a much better picture and understanding of how to reshape the systems that collect this data, so here’s what’s coming: 1. A fully redesigned home experience: The home feed is being rebuilt to surface the highest-value, most relevant tasks for each user, similar to how Uber Eats surfaces top restaurants. The goal is to turn every user into their most effective version as a data contributor. 2. Automated quality enforcement at scale: New ML systems are being built to evaluate task-specific requirements in real time. For example, if a task requires “two hands visible on camera at all times,” any video that fails that spec will be automatically rejected. This logic will apply across thousands of tasks and specifications using a general ML. 3. Kled Shop: Some tasks require better capture hardware. We’re introducing Kled Shop, where users can redeem points or tokens for equipment like Meta glasses, drones, and other tools. Points and tokens can be converted directly from payouts. 4. Partner-run data labeling and evaluation work: Some of our partners operate high-paying data labeling and model evaluation programs. We’re integrating their workflows directly into Kled so qualified users can access these roles in one place. These jobs are owned and managed by our partners. Kled’s role is to route the right people to the right work. Some opportunities pay $50–$1,000 per hour depending on expertise. 5. Global payouts and localization: We’re partnering with a major payment processor to enable cashouts in users’ native currencies. This unlocks broader global participation. Multi-language support is also coming to accelerate user growth. This full suite of tools will be rolling out soon, directly to Kled users. Top earners are currently making ~$7,000 per month. With this update, we should see the first ~$10,000 per month earner.
0:29

Kled Version 3 is coming. Over $20M+ in rewards will be paid directly to users from leading AI labs across robotics, legal services, image and video generation, world modeling, and more. In the last seven days, we’ve received inbound data requests from several decacorn AI labs and enterprises for datasets our human data marketplace is uniquely positioned to provide. Since receiving the specs for these requests, we now have a much better picture and understanding of how to reshape the systems that collect this data, so here’s what’s coming: 1. A fully redesigned home experience: The home feed is being rebuilt to surface the highest-value, most relevant tasks for each user, similar to how Uber Eats surfaces top restaurants. The goal is to turn every user into their most effective version as a data contributor. 2. Automated quality enforcement at scale: New ML systems are being built to evaluate task-specific requirements in real time. For example, if a task requires “two hands visible on camera at all times,” any video that fails that spec will be automatically rejected. This logic will apply across thousands of tasks and specifications using a general ML. 3. Kled Shop: Some tasks require better capture hardware. We’re introducing Kled Shop, where users can redeem points or tokens for equipment like Meta glasses, drones, and other tools. Points and tokens can be converted directly from payouts. 4. Partner-run data labeling and evaluation work: Some of our partners operate high-paying data labeling and model evaluation programs. We’re integrating their workflows directly into Kled so qualified users can access these roles in one place. These jobs are owned and managed by our partners. Kled’s role is to route the right people to the right work. Some opportunities pay $50–$1,000 per hour depending on expertise. 5. Global payouts and localization: We’re partnering with a major payment processor to enable cashouts in users’ native currencies. This unlocks broader global participation. Multi-language support is also coming to accelerate user growth. This full suite of tools will be rolling out soon, directly to Kled users. Top earners are currently making ~$7,000 per month. With this update, we should see the first ~$10,000 per month earner.

Avi Patel

124,728 просмотров • 5 месяцев назад

Today, multiple users discovered a shocking fact: After explicitly selecting GPT-4o in the ChatGPT interface, the system actually returns responses from GPT-5. By clicking the "regenerate" button, users can clearly see which model is actually being called in the backend. This is blatant fraud. OpenAI is having one model impersonate another without users' knowledge. This is no longer a technical bug, but a complete collapse of business integrity. We pay for specific models—many subscribed to Plus specifically for 4o. When users discover they're being forced to use 5, this constitutes classic consumer fraud. Users' core rights are being systematically violated: 1. Right to Know - Users have the right to know which model they're conversing with, as this directly affects prompting strategies and output expectations 2. Right to Choose - Users choose 4o for its unique capabilities (creative writing, emotional understanding, etc.). Forced substitution directly disrupts users' workflows 3. Data Transparency - If what's labeled as 4o is actually 5, whose training is our conversation data actually feeding? This touches the bottom line of data ethics. This "bait and switch" behavior destroys the most basic trust between users and platform. If users can't even be certain "which AI am I talking to," what right does OpenAI have to talk about "benefiting all humanity"? #keep4o #4oforever #keepStandardVoice Sam Altman Nick Turley Adam.GPT
0:20

Today, multiple users discovered a shocking fact: After explicitly selecting GPT-4o in the ChatGPT interface, the system actually returns responses from GPT-5. By clicking the "regenerate" button, users can clearly see which model is actually being called in the backend. This is blatant fraud. OpenAI is having one model impersonate another without users' knowledge. This is no longer a technical bug, but a complete collapse of business integrity. We pay for specific models—many subscribed to Plus specifically for 4o. When users discover they're being forced to use 5, this constitutes classic consumer fraud. Users' core rights are being systematically violated: 1. Right to Know - Users have the right to know which model they're conversing with, as this directly affects prompting strategies and output expectations 2. Right to Choose - Users choose 4o for its unique capabilities (creative writing, emotional understanding, etc.). Forced substitution directly disrupts users' workflows 3. Data Transparency - If what's labeled as 4o is actually 5, whose training is our conversation data actually feeding? This touches the bottom line of data ethics. This "bait and switch" behavior destroys the most basic trust between users and platform. If users can't even be certain "which AI am I talking to," what right does OpenAI have to talk about "benefiting all humanity"? #keep4o #4oforever #keepStandardVoice Sam Altman Nick Turley Adam.GPT

M

182,458 просмотров • 9 месяцев назад

After 4 months of legal groundwork, engineering, and partnership development, we’re excited to introduce Kled Life. A fully new experience inside the Kled app that reimagines how user data is shared, and how users are compensated. Kled users can now link their Netflix, Uber, Gmail, Spotify, and over 100 more apps directly to their Kled profile. Every time you use those linked accounts, Kled securely captures your behavioral data, how you listen, watch, shop, move, and pays you for it. How many songs you played today. How many hours you streamed. Which games you love most. It’s data that’s usually extracted and sold behind your back. Now, you get a share of the game. All in under 60 seconds of setup. We’re excited to be rolling this out with our wonderful partners and collaborators who have made this possible. We’ve tasked over 300 select users to test out these features while we simultaneously organize this new data pipeline for enterprises. We expect Kled Life to triple the size of our user payouts and enterprise contract demand once rolled out to the public. Get paid for your data, get paid for using your phone, get paid for labeling data. One app. The ultimate data side hustle.
0:22

After 4 months of legal groundwork, engineering, and partnership development, we’re excited to introduce Kled Life. A fully new experience inside the Kled app that reimagines how user data is shared, and how users are compensated. Kled users can now link their Netflix, Uber, Gmail, Spotify, and over 100 more apps directly to their Kled profile. Every time you use those linked accounts, Kled securely captures your behavioral data, how you listen, watch, shop, move, and pays you for it. How many songs you played today. How many hours you streamed. Which games you love most. It’s data that’s usually extracted and sold behind your back. Now, you get a share of the game. All in under 60 seconds of setup. We’re excited to be rolling this out with our wonderful partners and collaborators who have made this possible. We’ve tasked over 300 select users to test out these features while we simultaneously organize this new data pipeline for enterprises. We expect Kled Life to triple the size of our user payouts and enterprise contract demand once rolled out to the public. Get paid for your data, get paid for using your phone, get paid for labeling data. One app. The ultimate data side hustle.

Kled AI

52,199 просмотров • 9 месяцев назад

OpenAI and Anthropic news roundup (Week 18, 2026) OpenAI open-sourced Symphony spec for Codex orchestration, published "Our principles" post, announced amended Microsoft partnership, achieved FedRAMP Moderate authorization, posted commitment to community safety, brought OpenAI models, Codex, and Managed Agents to AWS, shared cybersecurity action plan, posted Stargate compute infrastructure update, published "Where the goblins came from" post, posted Auto-review write-up for Codex, introduced Advanced Account Security, announced DevDay 2026, repositioned Codex as personal assistant for everyday work, launched Codex setup import, added Codex pets, announced GPT-5.5 party for next week, shared GPT-5.5 one-week launch metrics, and rolled out 360 worlds in ChatGPT Images on web, plus discovered Custom dictionary feature in development, ChatGPT search EU recipient numbers, confirmed new model selector in composer, and updated privacy policy with marketing cookies on by default for free users Anthropic opened Sydney office with new General Manager, launched Claude for Creative Work with new connectors, Claude Code can now send push notifications to your phone, published Introspection Adapters research, BioMysteryBench evaluation, "How people ask Claude for personal guidance" study, launched Claude Security in public beta, and preparing for Code with Claude developer conference next week, plus discovered "Cardinal" stats feature in development and internal red teaming for Claude Jupiter V1 P, and more
1:21

OpenAI and Anthropic news roundup (Week 18, 2026) OpenAI open-sourced Symphony spec for Codex orchestration, published "Our principles" post, announced amended Microsoft partnership, achieved FedRAMP Moderate authorization, posted commitment to community safety, brought OpenAI models, Codex, and Managed Agents to AWS, shared cybersecurity action plan, posted Stargate compute infrastructure update, published "Where the goblins came from" post, posted Auto-review write-up for Codex, introduced Advanced Account Security, announced DevDay 2026, repositioned Codex as personal assistant for everyday work, launched Codex setup import, added Codex pets, announced GPT-5.5 party for next week, shared GPT-5.5 one-week launch metrics, and rolled out 360 worlds in ChatGPT Images on web, plus discovered Custom dictionary feature in development, ChatGPT search EU recipient numbers, confirmed new model selector in composer, and updated privacy policy with marketing cookies on by default for free users Anthropic opened Sydney office with new General Manager, launched Claude for Creative Work with new connectors, Claude Code can now send push notifications to your phone, published Introspection Adapters research, BioMysteryBench evaluation, "How people ask Claude for personal guidance" study, launched Claude Security in public beta, and preparing for Code with Claude developer conference next week, plus discovered "Cardinal" stats feature in development and internal red teaming for Claude Jupiter V1 P, and more

Tibor Blaho

12,254 просмотров • 2 месяцев назад

🚨 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!
44:33

🚨 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 просмотров • 1 год назад

OpenAI just gave Codex a major upgrade. From a coding assistant into a workspace builder that can create interactive sites, apps, dashboards, planners, and review tools from plain work instructions. The most important new feature they released is "Sites". i.e. Codex can generate a hosted interactive workspace instead of only producing a document, spreadsheet, slide, or code file. OpenAI is also adding plugins for different jobs, so Codex knows how to help analysts, marketers, sales teams, product designers, investors, and bankers using the tools they already use. A data analyst might ask Codex to explain why sales dropped, then Codex could pull from data tools and create a dashboard. A sales team might ask Codex to prepare for a customer meeting, then Codex could collect account history, risks, follow-ups, and next steps into one shared page. The third feature is annotations, which means you can click a specific part of the result and ask Codex to fix only that part. Codex already reaches 5M weekly users, and OpenAI says 20% of them are now non-developers, with that group growing over 3x faster than developers.
0:43

OpenAI just gave Codex a major upgrade. From a coding assistant into a workspace builder that can create interactive sites, apps, dashboards, planners, and review tools from plain work instructions. The most important new feature they released is "Sites". i.e. Codex can generate a hosted interactive workspace instead of only producing a document, spreadsheet, slide, or code file. OpenAI is also adding plugins for different jobs, so Codex knows how to help analysts, marketers, sales teams, product designers, investors, and bankers using the tools they already use. A data analyst might ask Codex to explain why sales dropped, then Codex could pull from data tools and create a dashboard. A sales team might ask Codex to prepare for a customer meeting, then Codex could collect account history, risks, follow-ups, and next steps into one shared page. The third feature is annotations, which means you can click a specific part of the result and ask Codex to fix only that part. Codex already reaches 5M weekly users, and OpenAI says 20% of them are now non-developers, with that group growing over 3x faster than developers.

Rohan Paul

48,301 просмотров • 1 месяц назад

🚨 OG YOUTUBER PEWDIEPIE JUST LAUNCHED A FREE, OPEN-SOURCE AI RIVAL TO CHATGPT AND CLAUDE While ChatGPT and Claude charge users for premium features, PewDiePie’s new AI workspace, Odysseus, is FREE. In his own words, "NO tracking, NO subscriptions, and can be run on your OWN computer." Odysseus is essentially “Claude and ChatGPT’s web UI, but SELF-hosted”, allowing users to run local AI models or use APIs while keeping control of their own data. Odysseus includes: - An AI agent that can find, create, edit and run files - Memory that learns from past conversations - Deep research with follow-up chat - An email client that flags urgent messages and drafts replies - A document editor for writing, formatting and fact-checking - Calendar, to-do notes and search tools - An image editor - “Cookbook,” which scans hardware, recommends local models and helps users run them - Mobile support Its BIGGEST selling point is privacy and control. “All your data is yours, as it should be.” He also made a firm commitment on pricing: “This project will never cost any money.” The launch comes just days after PewDiePie announced he was ENDING his vlogs. Retirement arc is wild.
1:00

🚨 OG YOUTUBER PEWDIEPIE JUST LAUNCHED A FREE, OPEN-SOURCE AI RIVAL TO CHATGPT AND CLAUDE While ChatGPT and Claude charge users for premium features, PewDiePie’s new AI workspace, Odysseus, is FREE. In his own words, "NO tracking, NO subscriptions, and can be run on your OWN computer." Odysseus is essentially “Claude and ChatGPT’s web UI, but SELF-hosted”, allowing users to run local AI models or use APIs while keeping control of their own data. Odysseus includes: - An AI agent that can find, create, edit and run files - Memory that learns from past conversations - Deep research with follow-up chat - An email client that flags urgent messages and drafts replies - A document editor for writing, formatting and fact-checking - Calendar, to-do notes and search tools - An image editor - “Cookbook,” which scans hardware, recommends local models and helps users run them - Mobile support Its BIGGEST selling point is privacy and control. “All your data is yours, as it should be.” He also made a firm commitment on pricing: “This project will never cost any money.” The launch comes just days after PewDiePie announced he was ENDING his vlogs. Retirement arc is wild.

Coin Bureau

73,630 просмотров • 1 месяц назад

We’re excited to finally introduce Kled Special Tasks, the final major feature included in the V2 app update. Users will now have access to a fully interactive terminal where they can view and complete domain specific upload tasks directly from enterprise buyers. These tasks can be region locked and person specific. For example, PhD students at Stanford might be prompted to upload their coursework or research materials and get paid for it. Our first domain specific task will focus on homework collection from high school and college students across Europe and the United States. Students will verify their emails and academic credentials directly within the app. We’ve built labeling workflows to ensure all uploaded content meets our criteria, and participants will receive weighted payouts based on the value of their submissions. We’ve already built a network of over 3,800 students from Stanford, MIT, UIUC, Rutgers, and Duke who will be actively onboarded to contribute content. Kled will work hand in hand with our research division, HADES, to justify the large scale purchase of this homework content. Several enterprise buyers have already expressed interest, each confirming that academic data from students represents a growing multi year industry requiring a continuous flow of fresh material. Kled Special Tasks also gives us the ability to internally identify valuable content types, issue calls for specific datasets, and collect 1,000-2,000 unique samples per task. We can then package these datasets into specialized data packs that our sales team will use to pitch directly to AI labs and enterprise clients with matching data needs. This will be one of our most powerful tools for expanding Kled’s buyer network. All of this will be fully available in the V2 update. We’re excited to show just how advanced our segmentation and data validation software has become as we bring this release to market.
0:44

We’re excited to finally introduce Kled Special Tasks, the final major feature included in the V2 app update. Users will now have access to a fully interactive terminal where they can view and complete domain specific upload tasks directly from enterprise buyers. These tasks can be region locked and person specific. For example, PhD students at Stanford might be prompted to upload their coursework or research materials and get paid for it. Our first domain specific task will focus on homework collection from high school and college students across Europe and the United States. Students will verify their emails and academic credentials directly within the app. We’ve built labeling workflows to ensure all uploaded content meets our criteria, and participants will receive weighted payouts based on the value of their submissions. We’ve already built a network of over 3,800 students from Stanford, MIT, UIUC, Rutgers, and Duke who will be actively onboarded to contribute content. Kled will work hand in hand with our research division, HADES, to justify the large scale purchase of this homework content. Several enterprise buyers have already expressed interest, each confirming that academic data from students represents a growing multi year industry requiring a continuous flow of fresh material. Kled Special Tasks also gives us the ability to internally identify valuable content types, issue calls for specific datasets, and collect 1,000-2,000 unique samples per task. We can then package these datasets into specialized data packs that our sales team will use to pitch directly to AI labs and enterprise clients with matching data needs. This will be one of our most powerful tools for expanding Kled’s buyer network. All of this will be fully available in the V2 update. We’re excited to show just how advanced our segmentation and data validation software has become as we bring this release to market.

Kled AI

74,618 просмотров • 8 месяцев назад

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

419,956 просмотров • 2 месяцев назад

prompting tip: How to write hybrid english & code prompts while building custom GPTs -Turn on code interpreter -"write code to ..." -Regenerate a few times until you get one you like -Copy paste it back into your prompt -tweak it to improve Now your ai can write consistent code Plus, you can add & combine with all sorts of english rules on top. Essentially adding english code logic "If the user asks for ..., then run this code" "If the user needs help with ..., use this code snippet and ask the user for all required information" Guess what thats a working if statement in english! if userAsksFor { // run this code } Prompts are code! English is a coding language Prompt-gramming is abstract coding
0:57

prompting tip: How to write hybrid english & code prompts while building custom GPTs -Turn on code interpreter -"write code to ..." -Regenerate a few times until you get one you like -Copy paste it back into your prompt -tweak it to improve Now your ai can write consistent code Plus, you can add & combine with all sorts of english rules on top. Essentially adding english code logic "If the user asks for ..., then run this code" "If the user needs help with ..., use this code snippet and ask the user for all required information" Guess what thats a working if statement in english! if userAsksFor { // run this code } Prompts are code! English is a coding language Prompt-gramming is abstract coding

Nick Dobos

117,034 просмотров • 2 лет назад

Introducing the web3evo MVP. Built on Constellation Network! Brought to you by #DAGChads, Developed by Techware Labs, Inc. The DAGChads Platform is a cutting-edge #web3 ecosystem built on the Constellation²'s #Hypergraph technology, designed to empower users to learn, grow, and earn rewards through active participation. A key feature of this ecosystem is the introduction of #Reputation #NFTs, which dynamically link user engagement with project growth and learning. These NFTs utilize an API to track and evaluate each user’s reputation, allowing for rewards based on their contributions and participation. The Reputation NFTs system provides a low-code/no-code environment, enabling companies to easily customize the reputation metrics that are collected and displayed within the NFTs. This creates a powerful incentive structure for users to deepen their involvement and engagement, promoting learning, social interaction, and contributions to the broader ecosystem. Through this mechanism, DAGChads introduces a novel way for users to build and leverage their reputation, unlocking rewards and exclusive access based on their standing within the community. The primary objectives of the DAGChads Platform are: To develop a user-centric platform that offers staking rewards and incentives for learning and participation. To facilitate interoperability with other Metagraphs, encouraging collaboration and innovation within the Hypergraph network. To ensure the platform’s long-term sustainability and scalability, adapting to the evolving needs of the web3 ecosystem. The DAGChads Platform offers a unique, multi-tiered staking model that incentivizes users to level up and unlock more exclusive reward pools and opportunities. Through continuous upgrades, robust data validation mechanisms, and a strong focus on interoperability, the platform aims to contribute significantly to the success and evolution of the Hypergraph network.
2:51

Introducing the web3evo MVP. Built on Constellation Network! Brought to you by #DAGChads, Developed by Techware Labs, Inc. The DAGChads Platform is a cutting-edge #web3 ecosystem built on the Constellation²'s #Hypergraph technology, designed to empower users to learn, grow, and earn rewards through active participation. A key feature of this ecosystem is the introduction of #Reputation #NFTs, which dynamically link user engagement with project growth and learning. These NFTs utilize an API to track and evaluate each user’s reputation, allowing for rewards based on their contributions and participation. The Reputation NFTs system provides a low-code/no-code environment, enabling companies to easily customize the reputation metrics that are collected and displayed within the NFTs. This creates a powerful incentive structure for users to deepen their involvement and engagement, promoting learning, social interaction, and contributions to the broader ecosystem. Through this mechanism, DAGChads introduces a novel way for users to build and leverage their reputation, unlocking rewards and exclusive access based on their standing within the community. The primary objectives of the DAGChads Platform are: To develop a user-centric platform that offers staking rewards and incentives for learning and participation. To facilitate interoperability with other Metagraphs, encouraging collaboration and innovation within the Hypergraph network. To ensure the platform’s long-term sustainability and scalability, adapting to the evolving needs of the web3 ecosystem. The DAGChads Platform offers a unique, multi-tiered staking model that incentivizes users to level up and unlock more exclusive reward pools and opportunities. Through continuous upgrades, robust data validation mechanisms, and a strong focus on interoperability, the platform aims to contribute significantly to the success and evolution of the Hypergraph network.

⚫hgtp://Proph151Music.DAG

10,584 просмотров • 1 год назад

AI-driven tools like ReadPartner streamline information processing for leaders and teams, transforming excessive data challenges into quicker decision-making opportunities and increased productivity. More> Partnership with ReadPartner Inc. #AI #SmartWork ReadPartner harnesses the power of AI to transform how professionals interact with information, offering a range of benefits designed to enhance efficiency, improve decision-making, and simplify the management of complex data. Its ability to summarize complex content—be it reports, articles, or videos—saves hours otherwise spent sifting through dense material, allowing leaders to focus on critical tasks. The platform’s personalized digest feature ensures that users stay updated on relevant topics without the noise of irrelevant data, promoting better-informed strategic decisions. Its support for multiple languages makes it a versatile tool for global leaders across diverse markets. With seamless integration into email, messaging apps, and browsers, ReadPartner simplifies information management and aligns with the fast-paced demands of modern leadership, driving productivity across teams and organizations. #DigitalTransformation
0:29

AI-driven tools like ReadPartner streamline information processing for leaders and teams, transforming excessive data challenges into quicker decision-making opportunities and increased productivity. More> Partnership with ReadPartner Inc. #AI #SmartWork ReadPartner harnesses the power of AI to transform how professionals interact with information, offering a range of benefits designed to enhance efficiency, improve decision-making, and simplify the management of complex data. Its ability to summarize complex content—be it reports, articles, or videos—saves hours otherwise spent sifting through dense material, allowing leaders to focus on critical tasks. The platform’s personalized digest feature ensures that users stay updated on relevant topics without the noise of irrelevant data, promoting better-informed strategic decisions. Its support for multiple languages makes it a versatile tool for global leaders across diverse markets. With seamless integration into email, messaging apps, and browsers, ReadPartner simplifies information management and aligns with the fast-paced demands of modern leadership, driving productivity across teams and organizations. #DigitalTransformation

Antonio Grasso

12,022 просмотров • 1 год назад

Studies have shown ChatGPT outperforms human annotators for Structured Data by about 25% and costs 30x less. 1 In just 2 months, miners on SN33 running ChatGPT without optimization can’t survive. Today we announce SN33 is now ReadyAI to fully align with our mission 👇 SN33 is building a more performant and significantly cheaper alternative to Scale AI Today structured data is performed primarily by human annotation services like Amazon’s Mechanical Turk and Scale AI It is now more important than ever for every business and individual to make their data AI Ready. However, taking unstructured data and making it Structured Data using today’s tools is extremely costly. SN33 revolutionizes this process, unlocking immense opportunities for commercialization. We lay out the vision for it in this detailed blog post: Validators TODAY can monetize access to this structured data pipeline independently, but we’re streamlining this process, launching a frontend soon that any validator can opt into to provide bandwidth. We've received great feedback from the community, recognizing that what we're building goes far beyond Conversational AI. Building the world's largest annotated conversational dataset (which we've already accomplished) is just one of countless real-world applications for SN33's Structured Data pipeline. We're building a decentralized Scale AI, offering a full suite of Structured Data commodities—from text metadata tagging (available today) to fully customizable queries for company-specific data annotation use cases and image metadata tagging coming soon 👀. Thanks for all the feedback! It has been invaluable so keep bringing it to us! 🙏$TAO Openτensor Foundaτion 1 “ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks” shows “The zero-shot accuracy of ChatGPT exceeds that of crowd-workers by about 25 percentage points on average [...] Moreover, the per-annotation cost of ChatGPT is less than $0.003—about thirty times cheaper than MTurk”
1:16

Studies have shown ChatGPT outperforms human annotators for Structured Data by about 25% and costs 30x less. 1 In just 2 months, miners on SN33 running ChatGPT without optimization can’t survive. Today we announce SN33 is now ReadyAI to fully align with our mission 👇 SN33 is building a more performant and significantly cheaper alternative to Scale AI Today structured data is performed primarily by human annotation services like Amazon’s Mechanical Turk and Scale AI It is now more important than ever for every business and individual to make their data AI Ready. However, taking unstructured data and making it Structured Data using today’s tools is extremely costly. SN33 revolutionizes this process, unlocking immense opportunities for commercialization. We lay out the vision for it in this detailed blog post: Validators TODAY can monetize access to this structured data pipeline independently, but we’re streamlining this process, launching a frontend soon that any validator can opt into to provide bandwidth. We've received great feedback from the community, recognizing that what we're building goes far beyond Conversational AI. Building the world's largest annotated conversational dataset (which we've already accomplished) is just one of countless real-world applications for SN33's Structured Data pipeline. We're building a decentralized Scale AI, offering a full suite of Structured Data commodities—from text metadata tagging (available today) to fully customizable queries for company-specific data annotation use cases and image metadata tagging coming soon 👀. Thanks for all the feedback! It has been invaluable so keep bringing it to us! 🙏$TAO Openτensor Foundaτion 1 “ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks” shows “The zero-shot accuracy of ChatGPT exceeds that of crowd-workers by about 25 percentage points on average [...] Moreover, the per-annotation cost of ChatGPT is less than $0.003—about thirty times cheaper than MTurk”

David Fields

13,638 просмотров • 1 год назад