Загрузка видео...

Не удалось загрузить видео

На главную

Introducing: PlayerZero The world's first Engineering World Model that puts debugging, fixing, and testing your code on autopilot. We've raised $20M from Foundation Capital, Matei Zaharia (Databricks), Peter Bailis (Workday), Guillermo Rauch (Vercel), Dylan Field (Figma), Drew Houston (Dropbox), and more PlayerZero frees up 30% of your engineering bandwidth...

akoratana's profile picture

Animesh Koratana

9,555 subscribers

2,751,376 просмотров • 2 месяцев назад •via X (Twitter)

Наука и технологии
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

Your engineering team is about to snap. And your AI coding agent is making it worse. Introducing CodeRabbit Agent for Slack 🎉 A second brain for engineering teams. Because your tribal knowledge lives in Slack threads nobody can find. At CodeRabbit, we review millions of PRs every week and know how ace engineering teams operate on the planet. The same three things slow every team we see: - Context and decisions that live elsewhere. - Lack of a team-level durable knowledge base - And a trust layer that gives a safety net to your teams Built for Agentic SDLC workflows, CodeRabbit Agent for Slack solves all three problems in one shot while enabling teams to collaborate in real-time with the Agent. CodeRabbit Agent is Slack-native and builds your team’s operating context from every thread, every decision, every conversation your team has ever had. Make your team’s context compound!
1:37

Your engineering team is about to snap. And your AI coding agent is making it worse. Introducing CodeRabbit Agent for Slack 🎉 A second brain for engineering teams. Because your tribal knowledge lives in Slack threads nobody can find. At CodeRabbit, we review millions of PRs every week and know how ace engineering teams operate on the planet. The same three things slow every team we see: - Context and decisions that live elsewhere. - Lack of a team-level durable knowledge base - And a trust layer that gives a safety net to your teams Built for Agentic SDLC workflows, CodeRabbit Agent for Slack solves all three problems in one shot while enabling teams to collaborate in real-time with the Agent. CodeRabbit Agent is Slack-native and builds your team’s operating context from every thread, every decision, every conversation your team has ever had. Make your team’s context compound!

Harjot Gill

4,770,661 просмотров • 1 месяц назад

Resource Network: The underlying technology by which all your vehicle’s components and items communicate, and your best friend at the engineering terminal. Take in the whole picture as you maintain the health of your ship and manage its power distribution. Playable Now in Alpha 4.5 Dawn of Engineering:
0:20

Resource Network: The underlying technology by which all your vehicle’s components and items communicate, and your best friend at the engineering terminal. Take in the whole picture as you maintain the health of your ship and manage its power distribution. Playable Now in Alpha 4.5 Dawn of Engineering:

Star Citizen

16,691 просмотров • 5 месяцев назад

Nobody is writing 90% of their code using AI. Here's the uncomfortable truth: The real productivity gain from using AI to write code is closer to 10%, nowhere near the 90% people claim. Sundar Pichai said in 2024 that 30% of the new code at Google was AI-generated. However, he went on to admit, during Lex Friedman's podcast, that engineering velocity had only increased by about 10%. AI-generated code isn't free code. It still has to be reviewed, tested, and made production-ready. Optimizing a single step (code generation) doesn't boost output if bottlenecks shift elsewhere (code reviews). It doesn't matter how much code you generate if you can't keep up the review process. The solution: Automate as much as you can the review and verification of your code. I'm working with Sonar, who is sponsoring this post, and they will take care of the code quality and security analysis of your code: • They review over 300B lines of code every single day • They cover reliability, security, and maintainability for your code • You can integrate them into your CI/CD pipeline • You can install them in your IDE (I use their VSCode extension) • Support for more than 30 languages Here is a link so you can check them out:
4:42

Nobody is writing 90% of their code using AI. Here's the uncomfortable truth: The real productivity gain from using AI to write code is closer to 10%, nowhere near the 90% people claim. Sundar Pichai said in 2024 that 30% of the new code at Google was AI-generated. However, he went on to admit, during Lex Friedman's podcast, that engineering velocity had only increased by about 10%. AI-generated code isn't free code. It still has to be reviewed, tested, and made production-ready. Optimizing a single step (code generation) doesn't boost output if bottlenecks shift elsewhere (code reviews). It doesn't matter how much code you generate if you can't keep up the review process. The solution: Automate as much as you can the review and verification of your code. I'm working with Sonar, who is sponsoring this post, and they will take care of the code quality and security analysis of your code: • They review over 300B lines of code every single day • They cover reliability, security, and maintainability for your code • You can integrate them into your CI/CD pipeline • You can install them in your IDE (I use their VSCode extension) • Support for more than 30 languages Here is a link so you can check them out:

Santiago

296,299 просмотров • 8 месяцев назад

🚀 Today, we announced frontier agents, a new class of AI agents which are a step-function change in what you can do with agents. Our first three agents mark the beginning of a new era in software development: 🟠 Kiro autonomous agent maintains persistent context and learns over time while working independently, so you can focus on your biggest priorities. It can handle a range of tasks—from triaging bugs to improving code coverage—with a single change spanning multiple repositories. 🟠 AWS Security Agent is your virtual security engineer that helps build secure applications by being a security consultant for app design, code reviews, and penetration testing. 🟠 AWS DevOps Agent is your virtual operations team member that helps resolve and proactively prevent incidents. It is on call when incidents happen, instantly responding to issues and using its knowledge of your application and the relationship between components to find the root ause of the problem. More on how we’re helping customers driving towards an agentic future: #AWSreInvent
1:03

🚀 Today, we announced frontier agents, a new class of AI agents which are a step-function change in what you can do with agents. Our first three agents mark the beginning of a new era in software development: 🟠 Kiro autonomous agent maintains persistent context and learns over time while working independently, so you can focus on your biggest priorities. It can handle a range of tasks—from triaging bugs to improving code coverage—with a single change spanning multiple repositories. 🟠 AWS Security Agent is your virtual security engineer that helps build secure applications by being a security consultant for app design, code reviews, and penetration testing. 🟠 AWS DevOps Agent is your virtual operations team member that helps resolve and proactively prevent incidents. It is on call when incidents happen, instantly responding to issues and using its knowledge of your application and the relationship between components to find the root ause of the problem. More on how we’re helping customers driving towards an agentic future: #AWSreInvent

Swami Sivasubramanian

26,016 просмотров • 6 месяцев назад

Why is observability so hard to do well - and so expensive, in general? What is "Observability 2.0" and is Open Telemetry any good? In today's episode of The Pragmatic Engineer Podcast, we answer all of these with Charity Majors , co-author of the O'Reilly book "Observability Engineering," former engineer at Parse/Facebook, and cofounder and CTO at Honeycomb Watch it here: • YouTube: • Apple: • Spotify: • Summary and transcript: Brought to you by our wonderful sponsors - check out their offerings: • Sonar — Trust your developers – verify your AI-generated code. • Vanta — Automate compliance and simplify security with Vanta ---- Topics we cover in this episode: • What is observability? Charity’s take • What is “Observability 2.0?” • Why Charity is a fan of platform teams • Why DevOps is an overloaded term: and probably no longer relevant • What is cardinality? And why does it impact the cost of observability so much? • How OpenTelemetry solves for vendor lock-in • Why Honeycomb wrote its own database • Why having good observability should be a prerequisite to adding AI code or using AI agents • And more! --- My biggest takeaways: 1. The DevOps movement feels like it’s in its final days, having served its purpose. 2. Lots of people get dashboards wrong! Charity doesn’t think that static dashboards are helpful to engineering teams at all. In fact, misusing dashboards is one of the most common observability practices. 3. Observability will be especially important for AI use cases in these ways: a) o11y for LLMs: to get data on how they behave and to be able to debug behaviors. This is relevant for teams building and operating AI models. b) o11y for code generated by AI: the generated code should have the right amount of observability in place. Once the code is deployed to production, developers need to be able to get a sense of how the code is behaving there!
0:46

Why is observability so hard to do well - and so expensive, in general? What is "Observability 2.0" and is Open Telemetry any good? In today's episode of The Pragmatic Engineer Podcast, we answer all of these with Charity Majors , co-author of the O'Reilly book "Observability Engineering," former engineer at Parse/Facebook, and cofounder and CTO at Honeycomb Watch it here: • YouTube: • Apple: • Spotify: • Summary and transcript: Brought to you by our wonderful sponsors - check out their offerings: • Sonar — Trust your developers – verify your AI-generated code. • Vanta — Automate compliance and simplify security with Vanta ---- Topics we cover in this episode: • What is observability? Charity’s take • What is “Observability 2.0?” • Why Charity is a fan of platform teams • Why DevOps is an overloaded term: and probably no longer relevant • What is cardinality? And why does it impact the cost of observability so much? • How OpenTelemetry solves for vendor lock-in • Why Honeycomb wrote its own database • Why having good observability should be a prerequisite to adding AI code or using AI agents • And more! --- My biggest takeaways: 1. The DevOps movement feels like it’s in its final days, having served its purpose. 2. Lots of people get dashboards wrong! Charity doesn’t think that static dashboards are helpful to engineering teams at all. In fact, misusing dashboards is one of the most common observability practices. 3. Observability will be especially important for AI use cases in these ways: a) o11y for LLMs: to get data on how they behave and to be able to debug behaviors. This is relevant for teams building and operating AI models. b) o11y for code generated by AI: the generated code should have the right amount of observability in place. Once the code is deployed to production, developers need to be able to get a sense of how the code is behaving there!

Gergely Orosz

25,485 просмотров • 1 год назад

One of John McAfee's last messages to the people: "Some of you may be living an existence of dissatisfaction... of emptiness... of longing." "This sense of longing... is really your loss of freedom. And it is freedom for which you yearn." "And you have none in this government. A government... which started out with the people being free and the government being our servants. It has become the government is free... and it's the people that are the servants." "You have woken up to your reality. That is what you are feeling." "Wake up a bit more and do something about it."
2:00

One of John McAfee's last messages to the people: "Some of you may be living an existence of dissatisfaction... of emptiness... of longing." "This sense of longing... is really your loss of freedom. And it is freedom for which you yearn." "And you have none in this government. A government... which started out with the people being free and the government being our servants. It has become the government is free... and it's the people that are the servants." "You have woken up to your reality. That is what you are feeling." "Wake up a bit more and do something about it."

Shadow Intel

163,744 просмотров • 1 месяц назад

One of John McAfee's final messages to the world: "Some of you may be living an existence of dissatisfaction... of emptiness... of longing." "This sense of longing... is really your loss of freedom. And it is freedom for which you yearn." "And you have none in this government. A government... which started out with the people being free and the government being our servants. It has become the government is free... and it's the people that are the servants." "You have woken up to your reality. That is what you are feeling." "Wake up a bit more and do something about it."
2:00

One of John McAfee's final messages to the world: "Some of you may be living an existence of dissatisfaction... of emptiness... of longing." "This sense of longing... is really your loss of freedom. And it is freedom for which you yearn." "And you have none in this government. A government... which started out with the people being free and the government being our servants. It has become the government is free... and it's the people that are the servants." "You have woken up to your reality. That is what you are feeling." "Wake up a bit more and do something about it."

Red Pill Dispenser

515,727 просмотров • 9 месяцев назад

hockeystick moments are the biggest opportunity of your career. It's exciting and kinda scary. Everything changes! I wrote Scaling Fast: Software Engineering Through the Hockeystick as your guide. 16 years of startup experience condensed into 240 pages Scaling Fast is based on startup war stories, academic research papers, talking to my mentors, and reading industry insights. It shows you what it takes to survive and thrive through the hockeystick. You'll learn about scaling teams and scaling code, how they influence each other, and why none of it matters if the business is bad. Scaling Fast: Software Engineering Through the Hockeystick is organized in 3 sections: - Scaling the Business - Scaling the Team - Scaling the Tech The business part, that's to help you evaluate the companies you join, this isn't a business book. The team part, that's key to shaping your everyday. We talk about delegating decisions, empowering engineers, working smooth instead of fast, finishing things all the way to done, good code review culture, and shipping incrementally without risky big bang releases. The tech part, that's my favorite. We talk about good abstractions, architectural complexity, observing your systems break, making steady improvements to your code without huge refactoring sprints, why tests don't solve everything, what's even worth testing, how your team structure impacts what you can do with the code, and why solving today's problem is more important than building for an imagined future. None of it is about numerical scaling [name|]. That's easy in 2025. Computers are fast. The challenge is building complex systems that don't fit in any one person's brain without breaking the business. oftware engineering when your whole company changes every 6 months is the fun part of this gig. And that's what Scaling Fast is about. 👉
3:35

hockeystick moments are the biggest opportunity of your career. It's exciting and kinda scary. Everything changes! I wrote Scaling Fast: Software Engineering Through the Hockeystick as your guide. 16 years of startup experience condensed into 240 pages Scaling Fast is based on startup war stories, academic research papers, talking to my mentors, and reading industry insights. It shows you what it takes to survive and thrive through the hockeystick. You'll learn about scaling teams and scaling code, how they influence each other, and why none of it matters if the business is bad. Scaling Fast: Software Engineering Through the Hockeystick is organized in 3 sections: - Scaling the Business - Scaling the Team - Scaling the Tech The business part, that's to help you evaluate the companies you join, this isn't a business book. The team part, that's key to shaping your everyday. We talk about delegating decisions, empowering engineers, working smooth instead of fast, finishing things all the way to done, good code review culture, and shipping incrementally without risky big bang releases. The tech part, that's my favorite. We talk about good abstractions, architectural complexity, observing your systems break, making steady improvements to your code without huge refactoring sprints, why tests don't solve everything, what's even worth testing, how your team structure impacts what you can do with the code, and why solving today's problem is more important than building for an imagined future. None of it is about numerical scaling [name|]. That's easy in 2025. Computers are fast. The challenge is building complex systems that don't fit in any one person's brain without breaking the business. oftware engineering when your whole company changes every 6 months is the fun part of this gig. And that's what Scaling Fast is about. 👉

Swizec Teller

54,266 просмотров • 6 месяцев назад

Americans are under surveillance Roughly 40,000-60,000 cameras have been placed throughout 42 states that are tagging your vehicle and entering it into a database to track you “These cameras capture more than your license. They can capture the interior of your vehicle as you drive by these cameras, especially the positioning of the camera and it's legal (Attorney shows a picture of what one of these “Flock Cameras” looks like, when you see it you’ll instantly recognize it. They’re everywhere) “So what happens is this camera captures your tag and when it captures your tag is able to detect where your vehicle has been anywhere in the United States where there are flock cameras. If you're in Georgia and you travel to New York, every time your vehicle tag gets captured by a flock camera, it is entered into a database and they are able to track it.”
1:02

Americans are under surveillance Roughly 40,000-60,000 cameras have been placed throughout 42 states that are tagging your vehicle and entering it into a database to track you “These cameras capture more than your license. They can capture the interior of your vehicle as you drive by these cameras, especially the positioning of the camera and it's legal (Attorney shows a picture of what one of these “Flock Cameras” looks like, when you see it you’ll instantly recognize it. They’re everywhere) “So what happens is this camera captures your tag and when it captures your tag is able to detect where your vehicle has been anywhere in the United States where there are flock cameras. If you're in Georgia and you travel to New York, every time your vehicle tag gets captured by a flock camera, it is entered into a database and they are able to track it.”

Wall Street Apes

329,561 просмотров • 1 год назад

Our infra team breaks down the concept of “context engineering”: martin_casado - “If you are going to call a model, you have to know what to put in the context… At some point you’re probably going to use traditional computer science." Jennifer Li - “What’s the new form factor of infra that needs to become part of this context engineering?... How do you have agents use tools, or infrastructure that will provide discovery and guarantees of observability of these systems as well?” “New infrastructure pieces create new patterns and methods of software and building systems. This is a great example of it emerging before our eyes.”
1:32

Our infra team breaks down the concept of “context engineering”: martin_casado - “If you are going to call a model, you have to know what to put in the context… At some point you’re probably going to use traditional computer science." Jennifer Li - “What’s the new form factor of infra that needs to become part of this context engineering?... How do you have agents use tools, or infrastructure that will provide discovery and guarantees of observability of these systems as well?” “New infrastructure pieces create new patterns and methods of software and building systems. This is a great example of it emerging before our eyes.”

a16z

21,801 просмотров • 10 месяцев назад

AI is changing the software engineering craft. Anders Hejlsberg (Anders Hejlsberg) - creator of C#, TypeScript and industry legend - on why code review needs to get more enjoyable in response: #1 - AI is shifting the craft from writing code, to reviewing code: "In a sense, we're all turning into project managers. We can have an army of junior programmers, called agents, that will just spit out reams of code but someone's got to have the big picture and review all of that. And so, increasingly, our craft is going from one of writing the code, to one of reviewing the code and building the architecture of the code and overseeing the work. It's a different kind of craft. It's a different kind of enjoyment. I've always liked writing the code. To me that was the fulfilling part, seeing it work. In a way, AI robs a little bit of that, because I am less interested in reviewing code." #2 - The code review experience should be improved: "I think we could also make the process of reviewing code much more interesting than it is today. I mean, today, you see a list of diffs in alphabetical order and now it's up to you to make heads or tails of it. There are more pedagogical ways of presenting that. And you could have commentary generated by the AI that tells you what the changes are and whatever, and then tries to guide you along. So that symbiotic relationship, I think we need to work on that more and to keep the enjoyment in there."
2:04

AI is changing the software engineering craft. Anders Hejlsberg (Anders Hejlsberg) - creator of C#, TypeScript and industry legend - on why code review needs to get more enjoyable in response: #1 - AI is shifting the craft from writing code, to reviewing code: "In a sense, we're all turning into project managers. We can have an army of junior programmers, called agents, that will just spit out reams of code but someone's got to have the big picture and review all of that. And so, increasingly, our craft is going from one of writing the code, to one of reviewing the code and building the architecture of the code and overseeing the work. It's a different kind of craft. It's a different kind of enjoyment. I've always liked writing the code. To me that was the fulfilling part, seeing it work. In a way, AI robs a little bit of that, because I am less interested in reviewing code." #2 - The code review experience should be improved: "I think we could also make the process of reviewing code much more interesting than it is today. I mean, today, you see a list of diffs in alphabetical order and now it's up to you to make heads or tails of it. There are more pedagogical ways of presenting that. And you could have commentary generated by the AI that tells you what the changes are and whatever, and then tries to guide you along. So that symbiotic relationship, I think we need to work on that more and to keep the enjoyment in there."

The Pragmatic Engineer

38,880 просмотров • 23 дней назад

We are truly overwhelmed with gratitude for each and every one of you who took the time out of your incredibly busy days and navigated through the Lagos traffic just to support Violet Charm at our very first pop-up event. It means so much to us that you chose to spend your precious time with us, and your presence brought so much warmth, energy, and joy to the day. This milestone is just the beginning of what we hope will be a beautiful journey, and while this was our first pop-up, it certainly won’t be the last. We are inspired by your encouragement and are committed to learning, growing, and improving every step of the way. Next year, we promise to come back bigger, better, and more exciting, all because of your unwavering support. Thank you from the depths of our hearts for believing in us and being part of this special moment ,we couldn’t have done it without you, and we can’t wait to create even more unforgettable memories together. Full video on my instagram
0:38

We are truly overwhelmed with gratitude for each and every one of you who took the time out of your incredibly busy days and navigated through the Lagos traffic just to support Violet Charm at our very first pop-up event. It means so much to us that you chose to spend your precious time with us, and your presence brought so much warmth, energy, and joy to the day. This milestone is just the beginning of what we hope will be a beautiful journey, and while this was our first pop-up, it certainly won’t be the last. We are inspired by your encouragement and are committed to learning, growing, and improving every step of the way. Next year, we promise to come back bigger, better, and more exciting, all because of your unwavering support. Thank you from the depths of our hearts for believing in us and being part of this special moment ,we couldn’t have done it without you, and we can’t wait to create even more unforgettable memories together. Full video on my instagram

Isabella Esther Georgewill

55,777 просмотров • 5 месяцев назад

In two years, every new tech company will run on a CRM you can vibe code to fit your business. This CRM will not be built from scratch on a coding platform though. It will be built on top of managed infrastructure with complete data capture, indices designed for LLMs to understand the whole picture, clean APIs, curated UI frameworks designed for selling, enterprise-grade security, and come with 24/7 support. You’ll instruct the agent using natural language and it will write the code + run it for you. That’s what we’re building at Lightfield and today we’re announcing step two of our plan - code execution. You can now ask your agent to build programs, artifacts, and run complex analysis instantly. It does this by writing and running Python in a high performance sandbox using full customer memory — including every email, meeting, and note that Lightfield has captured — and reasoning across every relationship to deliver high quality work. Ask your agent to build a competitive battle card before a call tomorrow. It pulls positioning, objections, and win/loss patterns from real conversations. Ask it to flag every open deal where your champion's engagement has dropped or sentiment has shifted. It reads across every conversation and tells you where to focus. Ask it to build a pipeline review with charts and graphs for your board. It produces the whole thing in minutes. Here’s what we did with it this week: → We asked our agent to grade our sales team on discovery, rapport, and closing. It gave a structured scorecard with specific examples from real conversations. → Our GTM team asked the agent to build a plan to expand one of our enterprise customers. It pulled competitive threats, upsell paths, stakeholder mapping, and a phased execution plan — in minutes. → We used it to find every feature request from the last quarter that our engineering team has since shipped, and draft a personalized follow-up to each customer using their original words. It closed loops across dozens of accounts that would have taken days to track down manually This is the first step towards building any custom GTM workflow in natural language on top of what Lightfield knows about your business - a world model built from every single interaction your team has had with customers.
1:00

In two years, every new tech company will run on a CRM you can vibe code to fit your business. This CRM will not be built from scratch on a coding platform though. It will be built on top of managed infrastructure with complete data capture, indices designed for LLMs to understand the whole picture, clean APIs, curated UI frameworks designed for selling, enterprise-grade security, and come with 24/7 support. You’ll instruct the agent using natural language and it will write the code + run it for you. That’s what we’re building at Lightfield and today we’re announcing step two of our plan - code execution. You can now ask your agent to build programs, artifacts, and run complex analysis instantly. It does this by writing and running Python in a high performance sandbox using full customer memory — including every email, meeting, and note that Lightfield has captured — and reasoning across every relationship to deliver high quality work. Ask your agent to build a competitive battle card before a call tomorrow. It pulls positioning, objections, and win/loss patterns from real conversations. Ask it to flag every open deal where your champion's engagement has dropped or sentiment has shifted. It reads across every conversation and tells you where to focus. Ask it to build a pipeline review with charts and graphs for your board. It produces the whole thing in minutes. Here’s what we did with it this week: → We asked our agent to grade our sales team on discovery, rapport, and closing. It gave a structured scorecard with specific examples from real conversations. → Our GTM team asked the agent to build a plan to expand one of our enterprise customers. It pulled competitive threats, upsell paths, stakeholder mapping, and a phased execution plan — in minutes. → We used it to find every feature request from the last quarter that our engineering team has since shipped, and draft a personalized follow-up to each customer using their original words. It closed loops across dozens of accounts that would have taken days to track down manually This is the first step towards building any custom GTM workflow in natural language on top of what Lightfield knows about your business - a world model built from every single interaction your team has had with customers.

Keith Peiris

27,529 просмотров • 3 месяцев назад

New short course: Collaborative Writing and Coding with OpenAI Canvas! Explore new ways to write and code with OpenAI Canvas, a user-friendly interface that allows you to brainstorm, draft, and refine text and code in collaboration with ChatGPT. In the short course, created with OpenAI, and taught by , a research lead at OpenAI, you’ll learn to use Canvas to enhance your workflows. Canvas lets you go beyond simple chat interactions. It provides a side-by-side workspace where you and ChatGPT can edit and refine text or code collaboratively. This makes brainstorming, drafting, and iterating as you write feel more natural and effective. As the first major update to ChatGPT’s visual interface since its launch in 2022, Canvas gives a new, innovative approach to collaboration with AI. For instance, after writing the first version of your code, Canvas can review it and give suggestions for improvement. It can also help with debugging by adding logging, identifying problems to fix, and writing comments. In addition, you'll also learn what it takes to train the model for an interface like Canvas. In this video-only short course, you’ll: - Learn how to ask for in-line feedback and control the iteration of your work by directly editing selected areas of your text or code from the model’s output. - Learn how to access quick automation tools in a shortcut menu that allows you to modify your writing tone and length, enhance your code, and restore previous versions of your work. - Learn how to use Canvas as a research assistant tool with an example of asking the model to reason through the screenshot of a plot to write a research report, in which you can ask questions within the created report. - Ask the model to write Python code to replicate the graph seen on a screenshot image. - Go behind the scenes of how you can create a video game, such as Space Battleship, from scratch, edit it, and display it in one self-contained HTML file. - Get a real-world application example of creating a SQL database from the image of its architecture. - Understand the model training and design processes that power Canvas! Please sign up here:
1:49

New short course: Collaborative Writing and Coding with OpenAI Canvas! Explore new ways to write and code with OpenAI Canvas, a user-friendly interface that allows you to brainstorm, draft, and refine text and code in collaboration with ChatGPT. In the short course, created with OpenAI, and taught by , a research lead at OpenAI, you’ll learn to use Canvas to enhance your workflows. Canvas lets you go beyond simple chat interactions. It provides a side-by-side workspace where you and ChatGPT can edit and refine text or code collaboratively. This makes brainstorming, drafting, and iterating as you write feel more natural and effective. As the first major update to ChatGPT’s visual interface since its launch in 2022, Canvas gives a new, innovative approach to collaboration with AI. For instance, after writing the first version of your code, Canvas can review it and give suggestions for improvement. It can also help with debugging by adding logging, identifying problems to fix, and writing comments. In addition, you'll also learn what it takes to train the model for an interface like Canvas. In this video-only short course, you’ll: - Learn how to ask for in-line feedback and control the iteration of your work by directly editing selected areas of your text or code from the model’s output. - Learn how to access quick automation tools in a shortcut menu that allows you to modify your writing tone and length, enhance your code, and restore previous versions of your work. - Learn how to use Canvas as a research assistant tool with an example of asking the model to reason through the screenshot of a plot to write a research report, in which you can ask questions within the created report. - Ask the model to write Python code to replicate the graph seen on a screenshot image. - Go behind the scenes of how you can create a video game, such as Space Battleship, from scratch, edit it, and display it in one self-contained HTML file. - Get a real-world application example of creating a SQL database from the image of its architecture. - Understand the model training and design processes that power Canvas! Please sign up here:

Andrew Ng

128,085 просмотров • 1 год назад

Announcing Agent Composer: AI that works when it actually IS rocket science. Technical teams can now automate the routine (but complex) tasks that used to take hours every week—root cause analysis, production planning, test code generation— and reduce them down to minutes, so you can get your real work done. Here's how we solved the AI context problem for hard engineering tasks (like rocket science 🚀) 🧵
2:19

Announcing Agent Composer: AI that works when it actually IS rocket science. Technical teams can now automate the routine (but complex) tasks that used to take hours every week—root cause analysis, production planning, test code generation— and reduce them down to minutes, so you can get your real work done. Here's how we solved the AI context problem for hard engineering tasks (like rocket science 🚀) 🧵

Contextual AI

1,552,186 просмотров • 4 месяцев назад

Insane: 90-95% of Claude Code is now written by Claude Code. I asked Mike Krieger (Anthropic's CPO) what changes when so much of your code is written by AI? His answer: The bottleneck moves from coding/design to: 1. Upstream: aligning the team around what to build. 2. Downstream: the PR merge queue, reviewing and merging all of the new code into production. Anthropic is where other product teams will be in a year or two, so it's important we pay attention. "I would expect that a year from now, the way that we are conceiving of building and shipping software changes a lot. Because it's gonna be very painful to do it the current way."
0:36

Insane: 90-95% of Claude Code is now written by Claude Code. I asked Mike Krieger (Anthropic's CPO) what changes when so much of your code is written by AI? His answer: The bottleneck moves from coding/design to: 1. Upstream: aligning the team around what to build. 2. Downstream: the PR merge queue, reviewing and merging all of the new code into production. Anthropic is where other product teams will be in a year or two, so it's important we pay attention. "I would expect that a year from now, the way that we are conceiving of building and shipping software changes a lot. Because it's gonna be very painful to do it the current way."

Lenny Rachitsky

369,755 просмотров • 1 год назад

Thank you to each and every one of you for standing with us in our darkest times. We feel your love and it means the world. Share your support by reposting this with your country’s flag and #IStandWithIsrael.
0:58

Thank you to each and every one of you for standing with us in our darkest times. We feel your love and it means the world. Share your support by reposting this with your country’s flag and #IStandWithIsrael.

Israel ישראל

555,096 просмотров • 2 лет назад

In 1977, Ashtar (leader of Sirius and Sirians within Galactic Federation) interrupted a British television broadcast with a warning that we "have a short time to learn to live together in peace" so that we can share in the "Great Awakening of the New Age of Aquarius." Peace is an individual choice. Humans are being morally tested to determine who ascends to become a galactic civilization. Not everyone will ascend. "Only those who learn to live in peace will pass to the higher realms of spiritual evolution." Galactic Federation are the angels of light walking among us and assisting us unseen. They continually send teachers to remind us that this is our planet, and we're the ones in control of our outcomes. ------- ASHTAR COMMAND - "For many years you have seen us as lights in the skies. We speak to you now in peace and wisdom as we have done to your brothers and sisters all over this, your planet Earth. We come to warn you of the destiny of your race and your world so that you may communicate to your fellow beings the course you must take to avoid the disaster which threatens your world, and the beings on our worlds around you. This is in order that you may share in the great awakening, as the planet passes into the New Age of Aquarius. The New Age can be a time of great peace and evolution for your race, but only if your rulers are made aware of the evil forces that can overshadow their judgments. Be still now and listen, for your chance may not come again. All your weapons of evil must be removed. The time for conflict is now past and the race of which you are a part may proceed to the higher stages of its evolution if you show yourselves worthy to do this. You have but a short time to learn to live together in peace and goodwill. Small groups all over the planet are learning this and exist to pass on the light of the dawning New Age to you all. You are free to accept or reject their teachings, but only those who learn to live in peace will pass to the higher realms of spiritual evolution. You must learn to be sensitive to the voice within that can tell you what is truth, and what is confusion, chaos and untruth. Learn to listen to the voice of truth which is within you, and you will lead yourselves onto the path of evolution. This is our message to our dear friends. We have watched you growing for many years as you too have watched our lights in your skies. You know now that we are here, and that there are more beings on and around your Earth than your scientists admit. We are deeply concerned about you and your path towards the light and will do all we can to help you. Have no fear, seek only to know yourselves, and live in harmony with the ways of your planet Earth. We here at the Ashtar Galactic Command thank you for your attention. We are now leaving the planes of your existence. May you be blessed by the supreme love and truth of the cosmos."
2:59

In 1977, Ashtar (leader of Sirius and Sirians within Galactic Federation) interrupted a British television broadcast with a warning that we "have a short time to learn to live together in peace" so that we can share in the "Great Awakening of the New Age of Aquarius." Peace is an individual choice. Humans are being morally tested to determine who ascends to become a galactic civilization. Not everyone will ascend. "Only those who learn to live in peace will pass to the higher realms of spiritual evolution." Galactic Federation are the angels of light walking among us and assisting us unseen. They continually send teachers to remind us that this is our planet, and we're the ones in control of our outcomes. ------- ASHTAR COMMAND - "For many years you have seen us as lights in the skies. We speak to you now in peace and wisdom as we have done to your brothers and sisters all over this, your planet Earth. We come to warn you of the destiny of your race and your world so that you may communicate to your fellow beings the course you must take to avoid the disaster which threatens your world, and the beings on our worlds around you. This is in order that you may share in the great awakening, as the planet passes into the New Age of Aquarius. The New Age can be a time of great peace and evolution for your race, but only if your rulers are made aware of the evil forces that can overshadow their judgments. Be still now and listen, for your chance may not come again. All your weapons of evil must be removed. The time for conflict is now past and the race of which you are a part may proceed to the higher stages of its evolution if you show yourselves worthy to do this. You have but a short time to learn to live together in peace and goodwill. Small groups all over the planet are learning this and exist to pass on the light of the dawning New Age to you all. You are free to accept or reject their teachings, but only those who learn to live in peace will pass to the higher realms of spiritual evolution. You must learn to be sensitive to the voice within that can tell you what is truth, and what is confusion, chaos and untruth. Learn to listen to the voice of truth which is within you, and you will lead yourselves onto the path of evolution. This is our message to our dear friends. We have watched you growing for many years as you too have watched our lights in your skies. You know now that we are here, and that there are more beings on and around your Earth than your scientists admit. We are deeply concerned about you and your path towards the light and will do all we can to help you. Have no fear, seek only to know yourselves, and live in harmony with the ways of your planet Earth. We here at the Ashtar Galactic Command thank you for your attention. We are now leaving the planes of your existence. May you be blessed by the supreme love and truth of the cosmos."

Kab

210,158 просмотров • 1 год назад

For those of you tired of yet another AI-based IDE: Check out Traycer. It's a Visual Studio Code extension (free forever for anyone working on open-source repositories), and it does something different from everyone else. You write a high-level prompt outlining the changes you want to make to your codebase, and the extension generates a plan for you before you touch the code. (It reminds me of GitHub Copilot Workspaces.) You can review the plan, understand exactly the changes the extension will make to your code, and make any modifications. When you are ready, you execute the plan, and Traycer stages all of the changes so you have a new opportunity to review everything. Only then does Traycer apply the changes. This is ideal for large codebases where you'd rather study the changes the AI plans to make before they make it into your code. Look at the video I recorded to see how it works. Thanks to the Traycer team for collaborating with me on this post!
7:27

For those of you tired of yet another AI-based IDE: Check out Traycer. It's a Visual Studio Code extension (free forever for anyone working on open-source repositories), and it does something different from everyone else. You write a high-level prompt outlining the changes you want to make to your codebase, and the extension generates a plan for you before you touch the code. (It reminds me of GitHub Copilot Workspaces.) You can review the plan, understand exactly the changes the extension will make to your code, and make any modifications. When you are ready, you execute the plan, and Traycer stages all of the changes so you have a new opportunity to review everything. Only then does Traycer apply the changes. This is ideal for large codebases where you'd rather study the changes the AI plans to make before they make it into your code. Look at the video I recorded to see how it works. Thanks to the Traycer team for collaborating with me on this post!

Santiago

83,805 просмотров • 1 год назад