YouSaid · the spoken record

Marily Nika

lines on the record: 51
first: 2023-02-05
most recent: 2023-02-05
sittings or episodes: 1
sources: podcast

Every line below is reproduced as it was said and linked to the record it came from. Nothing here is summarised or generated. Directory · Search · Corrections

“Thank you so much. People can find me on Instagram. I also have a product channel on YouTube that you can check out. I just started it. I'm getting used to the whole process. I'm also kicking off a newsletter. Just any social reach out and you'll see all my links.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“I mean, talk about tragic petition now. My head is on tragedy. This is what comes to mind. Well, the lens out. was pretty cool too, right? And we all upload in our floaters when we're able to see what we would look like as fantastic heroes. I have to say I tried being the nail version because it was so much cooler than the King L version. So that's what I recommend to people. Try the mail version.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“I love to ask people how would you explain a database to a three-year-old? And I know it's kind of an AI, not very around AI. But I love asking it because people are kind of thinking stepback saying, wait, what did you just ask me? But it's so important to be able to explain things in a simple way and have the storytelling to convince a kid and really explain in technical terms to non-technical people.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“My God, the white lotus people were talking about this thing. I ended up just trying it out. And me and my husband, we just binge watched the whole thing. It's just so different, so mind-blowing get you excited about going to Hawaii again. It's really good.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“You look like a thing and I love you and I have it right here. It's a great thing to recall. It's about how AI works and why it's making the world a weirder place. It's actually very fun. And there's one more, which is a workbook I recently launched with Alana Carr, and it's about women in tech trying to navigate working in tech. It's called Adventures of Women in Tech workbook. So that's another thing that I want to shamelessly plug it.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“Absolutely. And I got some uncomfortable questions that they had no idea how to tackle. Like people on day one were like, how do I assess the trade-offs between these 24 months? And I had to figure out how to answer these things and how to incorporate them in my course. So learning from the students, learning from the course, learning from explaining is just so viable, so skills that we can get.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“It was someone that recommended actually the course. And in the beginning, it was not, wait, people would want to learn from me, really. And of course they did. And I'm teaching so many people. So what I want to tell people is don't underestimate this. Try creating your own courses as well. People may want to learn what you take for granted. For them, it may be game-changing. It can be life-changing. Bill and courses is an amazing thing. And, you know, we're living in the whole collaboration era. And so the course is content. So go try this.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“Actually, added bonus sections, and one bonus section was ChatGBT and how it was trained. This is because I started this new cohort in December and on day one, the question I got is, what is this? How did it start? What is going on? How did they train it? So I added the dedicated section for it and I point people to it.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“Figure out that all the ones. Make sure to have the right duration. One week I find it too short. Two weeks, it was still a day rushed. Three weeks is excellent because you give the opportunity to everyone to present and to get to know each other on like an offline Discord community, which is another important part. And then the last thing you need to have a personal relationship with everyone. So I've messaged everyone. I've seen everyone's application. I met with some people as well just to make sure to answer any questions and concerns because I wanted to make sure that people were comfortable just trusting a stranger like me and paying them to provide knowledge for their course. So it was it took quite a few iterations, but I was able to get there and I'm very, very happy about it. And I recorded it offline as well for people.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“Treated creating my course like a product. This is like what I did is I came up with some hypothesis as to who the audience was and as to what they were looking to get out of it. And I started reaching out to people and I started saying, hey, first of all, would you like to learn from me? Second of all, what would you like to learn? What are the specific questions that you would need answered? Because these are people that are working full-time, that have families, right, in order to take a break from all that you need to provide something of them that is meaningful. And there were quite a few iterations. In the beginning, I was focusing the course more for software engineers that wanted to become AI product managers. But then I realized, no, there are a lot of PMs that want to become AI product managers. So I did a little online shift there. So what it takes is make sure you find the right audience.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“And I think they reduced time from like three weeks of work to like a few hours of knowing which sleep maintenance and just be able to send people there. So it's this type of thing that you can do on your own by applying this sort of tools.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“One of the tools I would like to recommend to people is actually AutoML. This is offered by Rollo Cloud. And essentially, it allows you to train high quality custom machine learning models with minimal effort. You don't need to be able to understand code or anything like that. You need to have a lot of photos and images that you have already corrected. It's not going to do the collection for you. And a great application I had to see. There's actually a YouTube video about this is there was this company that actually had a lot of wind turbines and what they did was in order to maintain these they would actually have people manually have huge ladders and go take a look and see if everything was okay so eventually they just got drones and they had these drones fly on all of these machines and take photos on everything and then they downloaded all these photos and they uploaded on automl and they were able to see which ones to meet and made an instance.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“They did not, but part of the course is to teach people the basics that you're going to need from a PM lens. And there are some no-click tools, as I mentioned, that are going to allow you to drag and drop and train these models and ebook photos in it and be able to do it.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“Someone was able to actually. A phrase that we found online and was able to tell us what was wrong if something was wrong with that patient. And it's just crazy to think that you can do that within three weeks. Obviously, it was just by photos we were able to crawl online for x-rays. But the concept is there that you can build something like that. You can create it. And to take it a bit further, they wanted to create a low over commander system and say, hey, we think this is what's wrong with you. Here are the steps you should follow. Obviously, we're not trying to play doctors or to pretend that we're medical in any way, but being able to see that actually functioning is just, it's very important.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“Throughout the duration of all these workshops, people have clamor and they actually take home an exercise where they need to create and develop their own AI product end-to-end. And they can pair up with each other. By the way, there was this two students paired up and actually where I was raised funding, which is mind-blowing to me, which is really awesome. But to continue, the most exciting part is when everyone at the very end are actually presenting their work and they're actually asking questions and getting feedback and they're just really excited and cal for what they created.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“With them. However, you're convinced them of what you have in mind for their precious research to be converted into a product, how on earth do you convince them to trust you? And how do you influence them? And then at the end, we're talking about how you actually will be able to pave your path to APM all the way from interviewing for this role from what good regimens look like and doing some interviews because the more you practice, the better it is.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“Course is three weeks long. It's meant for people that they're either aspiring or current PMs that want to understand how to sprinkle in AI solutions or they want to become full-time AI teams. Wick one is more of an introduction, what the product development lifecycle is for regular products and how it differs for AIPM specifically. And then we talk about idea creation. How long are they come up with ideas? And I love what Steve Job said, where he used to say, well, users don't know what they want until he showed it to them. And that's exactly the mindset I want to embed to people and say, hey, people don't know how on earth to use AI. People would never have imagined ChatGPT. And then we take that and we dive deep and we talk about how on the earth do you productionize something like this? What are the different partners you're working with? What is the research scientist and how on earth do you collaborate and how do your partner?”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“And ChatGPB is now free for everyone. But I don't know if you saw there was a sign up forum that was kind of coming around saying, hey, would you pay for this? What would be the minimum you would pay? What would be the maximum you pay? What would you like to see if you paid? So having BMs reach the tap is crucial for companies to be able to take the research and actually come up with meaningful use cases for users.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“Exactly. And also, the other thing, and I wanted to add on the question you asked before about, hey, how do you keep updated about new niche tech? We shouldn't underestimate academia in the research blogs. And there's a website called Archive where you can see new papers come up because this is where, I mean, ChatGPT and LIC used to be there for a long time. There was a lot of information on this sort of thing. But it's now recent where we see that research, scientists and research orgs are kind of not as siloed as they used to be. So the more companies invest on staffing this layer between productionizing and research, academic research, the more PMs you're going to add there, then the more you're going to see this bridge kind of creating good products that are created. So sometimes you have amazing ideas by research scientists, but you need a PM to take it and actually figure out ways to also monetize it, right? That's the other thing. If you're a PM, you need to come up with ways to actually be able to.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“People should know that there is an excellent source of inspiration and something that they kind of do risk things, which is adjacent frauds. Maybe the company has already launched a product that has been successful, those AI firsts. And whenever I tried to convince leadership about something that I want to do, that's kind of a big bet, I always use examples and I'm like, hey, this seemed crazy at the time. Here's how it worked. What I'm proposing is very similar to this crazy thing. And then I propose a little contingency plan. Like, hey, if that doesn't work out, here's the rollback plan. Here's kind of the maximum impact it will have done in a way, which is not going to do too much. And you kind of take it all on zoom. And it's interesting because the more you work on this specific company, the more trust you get. And if the culture is such, then failing is”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“Getting good data is hard. Like, you may need to be And willing to do everything. And the last thing is from a career trajectory, usually product managers get ahead the more they launch. But if you're in a research org, you're not going to launch as often. So you need to make sure to clarify with the hiring managers early on. Hey, what does progress mean? How am I going to get assessed in a research work which is different or what I've been doing so far? So it's challenging, but I always encourage people to flex different muscles and this is like the zero to one muscle that I think is just crucial when it comes to profit management.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“We talked about why it's awesome to be an AI PM. But I do want to collab that there are a few challenges that people need to be aware of. Number one, and I kind of mentioned it before, is the uncertainty. You may have been working on all these incredible research and ideas in hypothesis, but then when you actually train the model, the results you may be getting may not be optimal, may not be answering the questions or the hypothesis that you actually had in mind. So that's number one. You need to be able to encourage the team throughout this process because you're like the captain of the ship. You need to be the one that's kind of cheerulating the team, making sure I know what's going. Number two, you are going to have to be like, boy, you are going to have to change the ocean. And managing this from a leadership perspective can be tricky and it can be challenging. Number three, we talk about data, but”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“Of the company that is actually having AR researchers and AI research scientists, I encourage people to just reach out to them and shadow them and spend an hour of their week just talking to them and experiencing what they're doing. This is going to open your mind. This is going to give you so much context as to what it is and the endless potential that you can identify there.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“So I do have a course that's coming up February 6th on Maven, which is for current and aspiring product managers that want to build AI products. But I also have offline recordings. I have the same course and then offline basis on my website. I'd be happy to talk to you if you reach out to me about this. What I feel people should understand is what it takes to manage an AI product. Of course, people are very familiar with the stages of product development in general, but AI product development is different. As I mentioned before, sometimes you're actually managing the problem and not the product. And you're trying to secure out if there is a problem that makes sense to be answered by a smart solution. So it's kind of a very interesting and more complicated process than regular product management. So number one, figure out how it differs from general product lantern. Number two, if you're already”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“Depends on what type of learning you are. There are some people that like to learn of flying, so just gosera, there are so many courses. There is an amazing one actually. Introduction to AI by Stanford, Lithuania, we encourage people to take a look at. But I know that a lot of people don't like, don't have the time, don't have the discipline to actually take time off or like after work, after they put their kids to sleep to just do it. So if you enjoyed learning with others, if you enjoyed being part of the team, if you enjoy going through a journey together, then I recommend these resources. So there is something called career fundry, which is a fantastic online colleague's call, General Assembly, and then coding dojo. I was actually give a talk ages ago calling dojo about Python. And all it takes is just a few weeks of your time and passion and just for you to roll up your sleeves and just realize that this is not into me.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“Loved it. So it's the same with coding. I encourage people to just take an online course, understand more, get your hands dirty, pair up with salmon owls that's in the same boat as you because this is going to give you the skill set to understand how that tool that's going to help you in your day-to-day was even created in the first place instead of blindfoldedly just trusted to do your job.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“Like to see people being less overwhelmed, less intimidated, less afraid to start learning how to code, how to train a little model on their own. This is because even if ChatGBD or these local duplications may be able to do this for us, it gives you a different approach, a different mindset, a different, if you want, confidence to know how things work. And here's a silly example. I was learning how to play the piano when I was young. And when my teacher came in and I was like, oh, I want to learn how to play this cool song. There were some songs that I really liked. And she said, no, you need to start with a classical music. And I just hated it all the time. And I said, why do I have to do this? Because she said, if you learn the fundamentals and how, you know, where things started and the beginning of music, it's going to help you along the way to create music on your own if you want to. And she went right.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“Oh, absolutely not. I say it, like it makes everything better. If anything, it's going to free out time for me to do other things that are less tedious. For example, I am running so many projects and they only there appear DA. And the PRDs have all these areas that are common across Hullivan. If I had a system that can actually write the PDU stuff for me so that I can focus on more strategic side of things, that would be incredible. It will make us smarter, if anything. We will unlock new areas of product management that we haven't realized that are there.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“One thing I wanted to talk about is the team I used to work for Google, which was the ERVR team. And they were working on an airglass. And actually, they had a video on life years Google IO. They were able to have a Google Blast on someone that spoke one language. And then this other person was sound in front of them that spoke a different language. And the glass would take us an input, the audiovis came from that other person, and they would transcribe it. It would translate it and show it on the screen for that person in their language. So we're talking about the ability for this devices to unlock the borders of communication. And that is not science fiction. This is what amazing and mind-blowing. There's no science fiction anymore. These things are real. The technology is here. It's just a matter of connecting the pieces to the puzzle in order to see them coming to life. So I think that one was the most, one of the most impactful things I've ever seen.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“Let's imagine speech. Speech is a great example. For example, I'm talking about a device which is like home assistant and I say, hey, what is the weather like today? This is going to take my fullies and audio. It's going to process it. And the output is going to be a transcription. So it's literally going to be text that corresponds to what I said to it.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“The process of training the model, for example, is providing a lot of images that are little and say, hey, here's what God looks like. Here's what it all looks like. And we're talking about thousands and thousands of data sets for this. And once you do this, there's a process where the model is just processing this information and it's learning. It's finding patterns through it. And the patterns are not in the form of, oh, if this is gray, then this means this. No. It just learns in a smart way how to identify specific things that we don't even understand. And then it's able to output the probability of whether a photo is going to contain the cat or not.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“Have a three year old girl, and I'm good to hear about life and everything. So I was recently teaching here about the animals. And you explain things to her once or twice, like what the month is or a rhino and so on. But you will end up training your kid's brain by repeating the same information again. So you will say, hey, here's what the rhino looks like. Here's what an elephant looks like. Here's what the rhino looks like. Here's what an elephant looks like. And once you've done this enough times, then your kid will see an animal on the street and they'll be able to recognize and say, oh, yeah, that's like the rhino we were talking about. This is exactly what a model is. A model is like a kid's brain. It has the ability to take an input, which means it has the ability to take an email and say, oh, I recognize what this is. That looks like a rhino. But I'm 70% sure about this.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“It's totally your responsibility as a king to decide, okay, the recognition of whether this photo is a cat or a dog is good enough for the users. It's like 70% accurate, 80% accurate. Where is the bar? Where do we launch? And that's why I'm like, the AIPM role is so cool because you have problems like that to solve that no one else was kind of tackled before. So it's all on you.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“If you are a big company and you're offering a service that is going to do speech recognition or that it's going to have like their own tragedy, you want to use more data and more diverse data to train and retain and train. Because if you don't, then your quality is going to be the same as every other company. There are agencies that are selling data, packages of data that are ready. So you can get them and train your models. But the question is, if everyone takes that exact data set, then the quality that every single company is producing is going to be the exact same. So you do want to diversify. You do want to collect your own data. And I guess a good question from a pre-Mers perspective is when is the quality of your product good enough to launch? And that is like a really interesting point because”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“This is a good question, and it honestly depends on what you're trying to do. If you're trying to classify if the photo is a cat or a dog, obviously even if you have 15, 20 labeled photos that's going to work. But if you want to create voice recognizers or complicated NLP applications, you're going to need thousands, thousands of data. And this is what's making this not be easy, right? AI systems are not easy to build. There is a life cycle of a machine learning project. And after scoping, you need to figure out, oh God, how much data do I need? Where do I find this data as well, right? How much data? Sometimes I've seen people synthesizing their own fake data just so that they can have something to train with and test their models. But the exact amount is hard to be undecided, especially from a PM. Like I'm sure data scientists have a different opinion.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“Data from an adjacent product that you feel you can leverage for your own product to create something that's meaningful, the combination automation that we talk about, but not for an MVP. Please people, this is my advice.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“Don't do it for your MVP. It makes zero sense. Do not waste time of data scientists that can train models with using powerful machines that are going to take weeks to train. This is because if you have an MVP and you just want to get buy-in for an IDO feature that may use AI future, fake it. Create a little figma prototype and just show it to some users just fake what the AI is going to be doing. So I have a lot of young early stage entrepreneurs who talk to me and they say, oh, how should we train this model to do this and that? Because we want to prove that there is a market. No, do not use AI. You should use AI where you think you already have”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“There is something called the shiny object trap. And I'm always telling people, hey, don't do AI for the sake of doing AI. Make sure there is a problem there. Make sure there is a pain point that needs to be solved in a smart way. Once you have identified what that problem is and what that very, very high level solution is, then reach out and try to figure out how to actually implement it. There's a definition I like giving. I usually say that generalist PM helps their team and their company build and ship the right product. But the AI PM helps their team or company solve the right problem. So if you want to get into AIPM, figure out what the problem is that you will get a data scientist to create among solving. But there needs to be a problem. There needs to be audience. There needs to be a user and a pin point for it.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“And just thinking about okay, I have all this data that's just lying and sitting around. What is it that they can do with it? I've been meeting PMs that said, oh, we don't have any, we're not collecting any data, we don't have any dashboards. So even that is a huge first step towards AI. And then just start thinking about it, what you could do, just hire and get a data science intern and just see what they are going to do. There's just so much people can do.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“Is a good question, and I guess the message I want to pass is you shouldn't be overwhelmed by these technologies if you don't have a technical background, because you can learn these things. And as a PN, you'll never need to actually train or code. Also, even if you want to train, there are no code approaches for training models. But to answer the question, if you're working on any product, you can always figure in a smarter feature so you can make it more secure. You can personalize it. You can enhance it with frog detection. You can make it more ethical. If it's healthier, you can make it faster. You can make it more accurate. If it's shopping, you can create better accommodations. Basically, anything where you can get data behind the behavior of users can be improved with AI. So I guess it's all about changing the mindset of PMs, taking a step back.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“And from a product perspective, like I minded like three bubbles in my head, so you want to find the intersection of something that's desirable by users. Something that is going to be a viable business and something that is going to be feasible from a research scientist and technical perspective. And then when you have that, it's just going to be a fantastic product for the last that you can run with. So yeah, whenever I say researcher, I mean research scientist that can produce an AI machine learning model.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“I think that you will need to get comfortable with having a partner that's a research scientist. You will need to understand that these people can produce a smart model they'll be able to do some automation, some personalization, some recommendations on. In a lot of people feel uncomfortable. A lot of people don't know how to approach the researchers. A lot of people don't like the uncertainty that research has. A lot of PMs are very, very used to, okay, I'm going to do this, I'm going to learn, I'm going to do this, I'm going to launch. Whereas when you're working with research, it's more like we're going to try this. And then in a year, if it doesn't work out, we're going to shut everything down and people complete and do this. So I feel that if people get more used to uncertainty and research, things are going to be good in the end for them.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“I believe that old park managers will be AI product managers in the future. And this is because we see old products needing to have a personalized experience, a recommender system that is actually good. I mean, you cannot watch Netflix. You cannot even watch a movie without needing that after you watch White Lotus or like Stranger Things. You will want something similar to watch. You're not going to want like a romantic thing to be suggested or recommended to you, right? Also, automation is another thing. We need to keep improving on society. We need to keep making technological advancements. You're not going to be able to do that if you don't have an AI-centric view in every sector that you're working on.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“Let's say you're working for a specific product area and you know you want to create some. Would say something like. All would be interested in a fitness band that doesn't have a screen. And it will provide a bulleted list of people like, hey, young professionals that they're interested but don't have enough time, people that do not want to charge their wearables every day. Then the list goes on. It's just fantastic.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“It's better because the mission statement is going to be read by all disciplines. It's not just going to be read by PMs that already have a lot of context and understand. It's going to be read by leadership, by junior people, by stakeholders, by other departments, by competitors. And you need it to be on Porint and in the words that are meant to be understood by everyone. You're going to keep going understanding. And they would get inspired by it as well.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“Use at day to day, even personally day to day workflow, but I'm not making it do my job for me. I'm asking it after I have already had a mission in my head and what it is I want to do.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“Even when I'm at work and I am trying to come up with a nice mission statement, right? Winware PMs would come up with mission statements. It's just a crucial part. And it's where the core begins. You want to get people excited. You want to get people inspired. There is nothing I can write that's going to be as good as what has you with you afraid. So what I do is I literally go to ChajG and I say rewrite this mission statement from me. Even first try produces something which is fantastic. So lab number two, it helps me create user segments in a fantastic way. It will think of user segments that your mind wouldn't even go there. Like it just wouldn't go there and it will provide the motivations, it will provide the pain points and you just come up with ideas as you breathe it. And then the last thing that it does is it provides ideas for you that are AI enhanced.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“Through these newsletters and go through these online blogs, Encryns, and so on, and just read what's happening. It's not all about chatting. There's more. There's more about AI that you should read about.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“I would like to discuss ChatGBT, which is both under hype and overhype at the same time. I was reading this article this morning where there are writers complaining and they're very, very fearful and they think, oh, writing online is going to die. Everything we've been studying for is going to be replaced. They're going to take our jobs and so on. And I was just like, no, no, no, no. ChatGPT and technology is enhancing our worth. It's enhancing us. It does not steal from us. So that's what comes across right now. And there are other things that are under hype, like obviously chatGPT is amazing. I'm using it day-to-day. But there are other things AI can do in an amazing manner. Like I was reading a research article the other day that said that AI can now detect lies. So lie detection, whether it is for security reasons or at work or anything like that, is now possible. So I encourage people to go.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source
“As you know very well, subscribing to newsletters is something that's really, really impactful. And of course, I subscribe to your newsletter. But I am a big, big, big fan of the download by NIP Ecology Review or TLDR. And they're not necessarily AI-centric, but what I'm advocating for and what I'm telling people is that in the future, everything will be AI by default. So even if you have something that's technology focused, you will see a lot of AI starting to get sprinkled in there.”
2023-02-05 · Lenny's Podcast · AI and product management | Marily Nika (Meta, Google) · IDENTIFIED FROM THE TRANSCRIPT · source