Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

Factory COO Francesca LaBianca predicts self-improving software will become a trillion-dollar opportunity as enterprises around the world race to adopt it: "One, product development and research development, building out this next era of what self-improving software really looks like. How do we equip enterprises to build that self-improving piece...

MTSlive's profile picture

MTS

524,009 subscribers

17,049 görüntüleme • 1 ay önce •via X (Twitter)

Bilim & TeknolojiFinans
LIVE

Anya Rossi• Live Now

Private livecam show

4 Yorum

Chris Bakke profil fotoğrafı
Chris Bakke1 ay önce

@francesca_lab Great interview!

sophia dew profil fotoğrafı
sophia dew1 ay önce

@francesca_lab hugeee

Brent Liang profil fotoğrafı
Brent Liang1 ay önce

@francesca_lab amazing news! so glad to be able to host

Gabriele Spata profil fotoğrafı
Gabriele Spata1 ay önce

@francesca_lab scaling go to market across three continents before the product finishes defining itself is a choice

Benzer Videolar

"The way you produce your artifact, your software, is changing. The product development process is completely getting ripped and replaced" Self improving software is coming, and Amplitude is going to be the one to build it.
0:27

"The way you produce your artifact, your software, is changing. The product development process is completely getting ripped and replaced" Self improving software is coming, and Amplitude is going to be the one to build it.

Spenser Skates

26,257 görüntüleme • 1 yıl önce

Anthropic engineer: “70% of our engineers are using self‑improving loops. Now everyone is building agentic Graphs" in 3-6 months, we’ll all be building graphs to orchestrate self‑improving agents. No more prompting.” in 30-minute lecture, Anthropic engineer shows how to build a self-improving agentic workflow from scratch. Worth more than a $500 agentic course. Watch this video, then read the article below on how to become a graph architect.
36:10

Anthropic engineer: “70% of our engineers are using self‑improving loops. Now everyone is building agentic Graphs" in 3-6 months, we’ll all be building graphs to orchestrate self‑improving agents. No more prompting.” in 30-minute lecture, Anthropic engineer shows how to build a self-improving agentic workflow from scratch. Worth more than a $500 agentic course. Watch this video, then read the article below on how to become a graph architect.

Movez

639,951 görüntüleme • 3 ay önce

Anthropic engineer: “80% of our engineers are using self‑improving loops. Now everyone is building agentic Graphs. In 4-6 months, we’ll all be building graphs to orchestrate self‑improving agents. No more prompting.” in a 20‑minute talk, Anthropic engineer explains how to build self‑improving agentic systems from scratch. Worth more than a $500 agentic course. Watch this video, then read the article below on how to become a graph architect.
19:03

Anthropic engineer: “80% of our engineers are using self‑improving loops. Now everyone is building agentic Graphs. In 4-6 months, we’ll all be building graphs to orchestrate self‑improving agents. No more prompting.” in a 20‑minute talk, Anthropic engineer explains how to build self‑improving agentic systems from scratch. Worth more than a $500 agentic course. Watch this video, then read the article below on how to become a graph architect.

Movez

678,245 görüntüleme • 3 ay önce

Software engineering is shifting to "factory engineering:" the focus isn't just on building the product, but improving throughput. One measure of factory efficiency is "human touches per pr." Over time you want to drive this down.
1:11

Software engineering is shifting to "factory engineering:" the focus isn't just on building the product, but improving throughput. One measure of factory efficiency is "human touches per pr." Over time you want to drive this down.

Zach Lloyd

96,656 görüntüleme • 1 ay önce

Today we're announcing Mastra Factory! Most teams just want to build their product - not take on building and maintaining a factory too. So we're open-sourcing ours. Now you can own your factory without having to build it yourself. Demo:
1:41

Today we're announcing Mastra Factory! Most teams just want to build their product - not take on building and maintaining a factory too. So we're open-sourcing ours. Now you can own your factory without having to build it yourself. Demo:

Alex Booker

15,217 görüntüleme • 2 ay önce

Legacy automakers are in a very precarious position right now. They haven't yet figured out how to make compelling EVs profitably, so now many of them are starting to fall back on the gas products that do make them money, but this will put them even further behind in the future, which also means they will likely underinvest in self-driving capabilities and the best product for that (EVs). Ford is working on its "Universal EV Platform" designed to reduce costs, with the first vehicle with that aiming for a 2027 release, but it remains to be seen whether that plan will live up to its promise. I think we’re going to see a lot of consolidation across the legacy auto industry over the next few years. Many of these companies will struggle to catch up in self-driving because they spent years dragging their feet. At this point, self-driving is largely a software problem, and software is where most legacy automakers are weakest. Many still struggle with basic in-car UI and software updates, let alone building and iterating on full self-driving systems at scale (pretty much non-existent for them).
4:05

Legacy automakers are in a very precarious position right now. They haven't yet figured out how to make compelling EVs profitably, so now many of them are starting to fall back on the gas products that do make them money, but this will put them even further behind in the future, which also means they will likely underinvest in self-driving capabilities and the best product for that (EVs). Ford is working on its "Universal EV Platform" designed to reduce costs, with the first vehicle with that aiming for a 2027 release, but it remains to be seen whether that plan will live up to its promise. I think we’re going to see a lot of consolidation across the legacy auto industry over the next few years. Many of these companies will struggle to catch up in self-driving because they spent years dragging their feet. At this point, self-driving is largely a software problem, and software is where most legacy automakers are weakest. Many still struggle with basic in-car UI and software updates, let alone building and iterating on full self-driving systems at scale (pretty much non-existent for them).

Sawyer Merritt

201,715 görüntüleme • 10 ay önce

This is a good example of a very useful "GTM factory": it captures customer input from multiple sources, routes it to the right places, and synthesizes everything into a clear report that product teams can use to run their own factory. What factory are you building?
2:34

This is a good example of a very useful "GTM factory": it captures customer input from multiple sources, routes it to the right places, and synthesizes everything into a clear report that product teams can use to run their own factory. What factory are you building?

Akshay Kothari

29,818 görüntüleme • 3 ay önce

Anthropic engineer: “80% of our engineers are using self-improving loops. Now everyone is exploring how to build the right Context for agents.” in 3-6 months, we’ll all become context engineers. Context is the most important part of building agents.” In this 40-minute lecture, an Anthropic engineer shows how to build a self-improving agentic workflow from scratch. It’s worth more than a $500 agentic course. Watch this video, then read the article below on how to become a context architect.
39:27

Anthropic engineer: “80% of our engineers are using self-improving loops. Now everyone is exploring how to build the right Context for agents.” in 3-6 months, we’ll all become context engineers. Context is the most important part of building agents.” In this 40-minute lecture, an Anthropic engineer shows how to build a self-improving agentic workflow from scratch. It’s worth more than a $500 agentic course. Watch this video, then read the article below on how to become a context architect.

Movez

21,262 görüntüleme • 3 ay önce

Why enterprises are going to want to own their own intelligence? "Enterprises are going to want to own their own intelligence. They're going to want AI sovereignty, meaning that you own your whole supply chain of AI. You can take an open source model, fine-tune it on your own company's data, and own your stack end-to-end. People are going to care about sovereignty, cost, and self-improving, and they're not necessarily going to want to give their data to an external third-party service that might even be competing with them one day." Anastasios Nikolas Angelopoulos Will enterprises really care about owning their own intelligence and even be setup to do so in the future Nikesh Arora Vinod Khosla Matt Turck Andy Pavlo (@andypavlo.bsky.social) Brad Gerstner
0:32

Why enterprises are going to want to own their own intelligence? "Enterprises are going to want to own their own intelligence. They're going to want AI sovereignty, meaning that you own your whole supply chain of AI. You can take an open source model, fine-tune it on your own company's data, and own your stack end-to-end. People are going to care about sovereignty, cost, and self-improving, and they're not necessarily going to want to give their data to an external third-party service that might even be competing with them one day." Anastasios Nikolas Angelopoulos Will enterprises really care about owning their own intelligence and even be setup to do so in the future Nikesh Arora Vinod Khosla Matt Turck Andy Pavlo (@andypavlo.bsky.social) Brad Gerstner

Harry Stebbings

19,434 görüntüleme • 3 ay önce

Andrej Karpathy: "The future is not writing code. The future is writing the loops that write the code. The leverage point has moved one floor up." This is the shift that defines the next era of coding and quant building. 1 hour of pure insight on agentic AI coding and loop engineering from the OpenAI co-founder who just joined Anthropic to build self improving Claude. Worth more than every $500 vibe coding course combined. Watch it, then read the full guide on how to build your first self improving quant trading loop below.
1:04:50

Andrej Karpathy: "The future is not writing code. The future is writing the loops that write the code. The leverage point has moved one floor up." This is the shift that defines the next era of coding and quant building. 1 hour of pure insight on agentic AI coding and loop engineering from the OpenAI co-founder who just joined Anthropic to build self improving Claude. Worth more than every $500 vibe coding course combined. Watch it, then read the full guide on how to build your first self improving quant trading loop below.

Roan

38,246 görüntüleme • 4 ay önce

It's time to Level Up your career! If you're ready for a fresh opportunity in the world of games and software development, @CryEngine is growing and hiring across all departments. // #WeAreCrytek
0:22

It's time to Level Up your career! If you're ready for a fresh opportunity in the world of games and software development, @CryEngine is growing and hiring across all departments. // #WeAreCrytek

Crytek

42,358 görüntüleme • 3 yıl önce

We need everyone that sees this from outside of the United States to comment. On a scale of one to 10, how bad is it in the US?
1:05

We need everyone that sees this from outside of the United States to comment. On a scale of one to 10, how bad is it in the US?

MAGA Cult Slayer

316,597 görüntüleme • 1 yıl önce

The perfect time to build, and look for the next multi-million dollar opportunity. I discussed what that was in today’s show and will be getting everyone involved this month to get a piece of that pie!
0:27

The perfect time to build, and look for the next multi-million dollar opportunity. I discussed what that was in today’s show and will be getting everyone involved this month to get a piece of that pie!

Sheldon Diedericks

10,941 görüntüleme • 7 ay önce

Anthropic engineer: "85% of our engineers are using self-improving loops. Now everyone is running agentic Graphs. In 3-6 months, we’ll all be building graphs to orchestrate agents. No more prompting." In a 45-minute talk, an Anthropic engineer shows how to build a self-improving agentic workflow from scratch. Worth more than a $500 agentic course. Watch this video, then read the full roadmap on how to become a graph architect in the article below
44:41

Anthropic engineer: "85% of our engineers are using self-improving loops. Now everyone is running agentic Graphs. In 3-6 months, we’ll all be building graphs to orchestrate agents. No more prompting." In a 45-minute talk, an Anthropic engineer shows how to build a self-improving agentic workflow from scratch. Worth more than a $500 agentic course. Watch this video, then read the full roadmap on how to become a graph architect in the article below

Codez

37,139 görüntüleme • 3 ay önce

Introducing Ara A loop that talks to your coding agent for you. Self-improving codebase pr's that it builds on its own. Never prompt again. 10X usage limits for everyone
0:24

Introducing Ara A loop that talks to your coding agent for you. Self-improving codebase pr's that it builds on its own. Never prompt again. 10X usage limits for everyone

Adi

185,431 görüntüleme • 5 ay önce

Allora is building a decentralized self-improving, context aware network. What does that mean and how does it work. Allora explained simply in 3 mins
3:39

Allora is building a decentralized self-improving, context aware network. What does that mean and how does it work. Allora explained simply in 3 mins

Cipher

12,783 görüntüleme • 1 yıl önce

At the G20 Innovation Ministerial, Jensen Huang joined U.S. Commerce Secretary Howard Lutnick to discuss the infrastructure the Intelligence Age requires. A gigawatt-scale AI factory is a $50–60 billion investment. At that cost, the architecture cannot be so specialized that a change in models or algorithms renders it obsolete. It has to be fungible. It has to be durable. And it has to keep improving through software.
1:01

At the G20 Innovation Ministerial, Jensen Huang joined U.S. Commerce Secretary Howard Lutnick to discuss the infrastructure the Intelligence Age requires. A gigawatt-scale AI factory is a $50–60 billion investment. At that cost, the architecture cannot be so specialized that a change in models or algorithms renders it obsolete. It has to be fungible. It has to be durable. And it has to keep improving through software.

NVIDIA

94,177 görüntüleme • 1 ay önce

Scott Wu (Scott Wu) on what programming will look like in the future: “All programming really comes down to is how do you tell your computer what to do? For every single piece of software that you use, some team of engineers came together and thought through all these details of, "Okay, here's what I want it to do. Here's how I want it to look. Here's what I want this button to do. Here's how I want to architect it." Every single little decision was made by somebody. And the computer is then executing it according to the wishes of its creators. At this point you don't need to know a programming language. You don't need to know Python or Java or something like that in order to build your own software. You can just say, "Hey, here's what I want. I wanna make a cool website that does this and that." Or in my existing product, "Here' what we have today, and I wanna change this thing or add this new feature," and just have the agent go and do that for you. I think we're gonna continue to go further down that axis. I think we'll start to see that abstraction will continue to climb. I think what we'll see a lot more of in the near future is making a piece of software which you're going to use one time and never again. To create software today the math only really works out if it's gonna be used at least a million times or something. Maybe it's 10,000 times or whatever. My point is if you wanna go build a product today, you need a whole team of engineers. Engineers are expensive. You need that software to be used enough times to create enough value for that to be worth it. But there are so many things out there which are very specific things that only need to be used a few times, or even only once. There’s all of these things that could be done with software. It just obviously doesn't make sense to hire a whole team of people to go make you that piece of software, which you're gonna use one time and never again. We're gonna get to a point where you are just giving your instructions to your agent, and the agent is gonna figure out, okay, I'm gonna write this code that's gonna go do this. I'm gonna put a script that automates this part etc. and that's what's gonna allow [single use software]. What [this is all about] is really just how you control your computer and how you get it to do what you wanna go do. You’ll wake up in the morning and you’ll talk to your agent about it. The agent does the literal writing of the code and you're the one that's deciding what to do.”
3:25

Scott Wu (Scott Wu) on what programming will look like in the future: “All programming really comes down to is how do you tell your computer what to do? For every single piece of software that you use, some team of engineers came together and thought through all these details of, "Okay, here's what I want it to do. Here's how I want it to look. Here's what I want this button to do. Here's how I want to architect it." Every single little decision was made by somebody. And the computer is then executing it according to the wishes of its creators. At this point you don't need to know a programming language. You don't need to know Python or Java or something like that in order to build your own software. You can just say, "Hey, here's what I want. I wanna make a cool website that does this and that." Or in my existing product, "Here' what we have today, and I wanna change this thing or add this new feature," and just have the agent go and do that for you. I think we're gonna continue to go further down that axis. I think we'll start to see that abstraction will continue to climb. I think what we'll see a lot more of in the near future is making a piece of software which you're going to use one time and never again. To create software today the math only really works out if it's gonna be used at least a million times or something. Maybe it's 10,000 times or whatever. My point is if you wanna go build a product today, you need a whole team of engineers. Engineers are expensive. You need that software to be used enough times to create enough value for that to be worth it. But there are so many things out there which are very specific things that only need to be used a few times, or even only once. There’s all of these things that could be done with software. It just obviously doesn't make sense to hire a whole team of people to go make you that piece of software, which you're gonna use one time and never again. We're gonna get to a point where you are just giving your instructions to your agent, and the agent is gonna figure out, okay, I'm gonna write this code that's gonna go do this. I'm gonna put a script that automates this part etc. and that's what's gonna allow [single use software]. What [this is all about] is really just how you control your computer and how you get it to do what you wanna go do. You’ll wake up in the morning and you’ll talk to your agent about it. The agent does the literal writing of the code and you're the one that's deciding what to do.”

David Senra

12,855 görüntüleme • 4 ay önce