正在加载视频...

视频加载失败

返回首页

How do ZK proofs differ from multi-party computations (MPC)? 🤔 With ZK proofs, one person has private data and can prove something about it. Example: Let’s say you want to do a transaction with someone and you want to show them you have enough money. You could prove that...

partisiampc's profile picture

Partisia Blockchain

195,020 subscribers

58,338 次观看 • 1 年前 •via X (Twitter)

科学技术教育财经
LIVE

Anya Rossi• Live Now

Private livecam show

7 条评论

Luke Bragg 的头像
Luke Bragg1 年前

This is a great explanation. I am so happy we at @ProfilaPrivacy are partnering with you guys at Partisia!

FABI 的头像
FABI1 年前

This means that with MPC technology, companies can access user data information without revealing who it belongs to, in order to offer product improvements to their potential customers, with the exception that the user has control over what he wants to reveal?💎

lemon and lime $MPC 的头像
lemon and lime $MPC1 年前

Great clip, to hear this from a crypto OG such as Prof Damgaard 📞🏛️#PrivacyEnjoyoor

Edickson 的头像
Edickson1 年前

😎👍🏻

mediterpourlasante 的头像
mediterpourlasante1 年前

Les go $MPC . Thanks Professor Daamgard for this gem !! L1

ScreamingElectrons 的头像
ScreamingElectrons1 年前

Let’s go

pankaj saini 的头像
pankaj saini1 年前

bull market started but partisia is contineues dumping

相关视频

Recording from my talk: Without Permission, With Programmable Cryptography 🔐 Programmable Cryptography: Reclaim Your Data - ZKPs, MPC, FHE let us use our data in novel ways - Most online data is cryptographically signed (HTTPS, DKIM) - We can make this data portable and use it how we want 🛠️ Tools in Action: - Zupass: Crypto-native identity - OpenPassport: Prove passport validity privately - Anon Aadhaar: Verify Aadhaar ID without revealing info - ZK Email: Use signed emails for various proofs - ZKP2P: Trust-minimized fiat on-ramps, and much more - TLSNotary: Prove any web data without intermediaries 🚀 Impact: - Privacy-preserving anti-sybil resistance - Selective disclosure of personal info - Trust-minimized financial systems - Portable, provable online interactions 💡 Conclusion: Programmable cryptography empowers us to reclaim and leverage our data from web2 silos, w/o permission Thanks to Juraj Bednar for the (bootleg) recording and ParalelnaPolis for hosting! Great to finally attend HCPP, one of the OG cypherpunk conferences I've wanted to join for years.
43:18

Recording from my talk: Without Permission, With Programmable Cryptography 🔐 Programmable Cryptography: Reclaim Your Data - ZKPs, MPC, FHE let us use our data in novel ways - Most online data is cryptographically signed (HTTPS, DKIM) - We can make this data portable and use it how we want 🛠️ Tools in Action: - Zupass: Crypto-native identity - OpenPassport: Prove passport validity privately - Anon Aadhaar: Verify Aadhaar ID without revealing info - ZK Email: Use signed emails for various proofs - ZKP2P: Trust-minimized fiat on-ramps, and much more - TLSNotary: Prove any web data without intermediaries 🚀 Impact: - Privacy-preserving anti-sybil resistance - Selective disclosure of personal info - Trust-minimized financial systems - Portable, provable online interactions 💡 Conclusion: Programmable cryptography empowers us to reclaim and leverage our data from web2 silos, w/o permission Thanks to Juraj Bednar for the (bootleg) recording and ParalelnaPolis for hosting! Great to finally attend HCPP, one of the OG cypherpunk conferences I've wanted to join for years.

oskarth

23,756 次观看 • 1 年前

I asked Garry Tan how to use meta prompting to get better at AI: "My partners at YC Jared Friedman and Pete Koomen showed me how to do this. You can take almost anything that you do all the time and just drop it into a context window. And then say, “Here’s a bunch of inputs and outputs." And maybe you also add a bunch of notes. And then you tell it, “Write me a prompt that can act as an agent that takes this input and makes this output over here.” You can do this for almost any type of knowledge work. And you can even introspect. "What are things you notice that I did to convert this from the input to the output?”. And then you can just start using the prompt. Initially, it’s going to suck. Because it’s just not that smart yet. But what’s funny is now, I also use it to Iterate my writing. You can be very direct, "I would never say that", "Don’t say it like this", or "Oh, you used the long word there, use the short word". Just speak to it conversationally. And then when you're happy with the output, you can use that new output to make a new prompt. "Based on this conversation, give me a better initial prompt that incorporates all the things we talked about." And you can do this with literally everything. And in theory, there’s so much it applies to that people do day-to-day. You could use it for tweets. You could use it for editing podcasts. You can use it for pretty much everything. I have a folder of prompts that I use all the time. My YouTube prompt is on v27 or something. I'll go through this process with all the different max models. I'll use GPT 5.2 Pro. I’ll use Grok. I'll use Claude. Then, I’ll take all the outputs from all the models and put them into Claude and say "Here’s my prompt, here’s the output from four LLMs, including yourself. Rate each response and tell me what the pros and cons of each approach are." And I usually say "give it to me in numbered form". And then you can agree with one, disagree with two, tell it three is this or that. And then after that, you say given all of this, synthesize it."
4:16

I asked Garry Tan how to use meta prompting to get better at AI: "My partners at YC Jared Friedman and Pete Koomen showed me how to do this. You can take almost anything that you do all the time and just drop it into a context window. And then say, “Here’s a bunch of inputs and outputs." And maybe you also add a bunch of notes. And then you tell it, “Write me a prompt that can act as an agent that takes this input and makes this output over here.” You can do this for almost any type of knowledge work. And you can even introspect. "What are things you notice that I did to convert this from the input to the output?”. And then you can just start using the prompt. Initially, it’s going to suck. Because it’s just not that smart yet. But what’s funny is now, I also use it to Iterate my writing. You can be very direct, "I would never say that", "Don’t say it like this", or "Oh, you used the long word there, use the short word". Just speak to it conversationally. And then when you're happy with the output, you can use that new output to make a new prompt. "Based on this conversation, give me a better initial prompt that incorporates all the things we talked about." And you can do this with literally everything. And in theory, there’s so much it applies to that people do day-to-day. You could use it for tweets. You could use it for editing podcasts. You can use it for pretty much everything. I have a folder of prompts that I use all the time. My YouTube prompt is on v27 or something. I'll go through this process with all the different max models. I'll use GPT 5.2 Pro. I’ll use Grok. I'll use Claude. Then, I’ll take all the outputs from all the models and put them into Claude and say "Here’s my prompt, here’s the output from four LLMs, including yourself. Rate each response and tell me what the pros and cons of each approach are." And I usually say "give it to me in numbered form". And then you can agree with one, disagree with two, tell it three is this or that. And then after that, you say given all of this, synthesize it."

The Peel

51,632 次观看 • 3 个月前

The average Data Analyst salary is $200,000 a year. If you want a career in Data Analytics, I will share with you courses that will help you. - deleting this soon !! - Like and Reply “course” to get instant Dm [ Must be following so I can Dm ]
0:23

The average Data Analyst salary is $200,000 a year. If you want a career in Data Analytics, I will share with you courses that will help you. - deleting this soon !! - Like and Reply “course” to get instant Dm [ Must be following so I can Dm ]

Leonard Rodman

140,385 次观看 • 1 年前

.Second Lady Usha Vance responds to a student's question about how to be the best Second Lady: "I think they key thing, for anyone who is in this kind of role, is to try to just continue to be yourself. You have to do the best job that you can. And there are some responsibilities that come with it...you don't always choose what you are doing...But the most important thing is to remember the kind of person that you were before it, and the kind of person you want to be. If you can do that all the way through, then you can have a lot of fun — and maybe be helpful. You don't want to just start thinking of yourself as the Second Lady, because then you're probably not that fun a person anymore."
0:37

.Second Lady Usha Vance responds to a student's question about how to be the best Second Lady: "I think they key thing, for anyone who is in this kind of role, is to try to just continue to be yourself. You have to do the best job that you can. And there are some responsibilities that come with it...you don't always choose what you are doing...But the most important thing is to remember the kind of person that you were before it, and the kind of person you want to be. If you can do that all the way through, then you can have a lot of fun — and maybe be helpful. You don't want to just start thinking of yourself as the Second Lady, because then you're probably not that fun a person anymore."

Mary Margaret Olohan

1,111,670 次观看 • 10 个月前

Casa is basically an AI-powered concierge for homeowners They work with you so that Casa knows the history of your house, all the maintenance you've done on it, etc. And when you have a job for the house, Casa uses the data to get the work done from start to finish CEO Michael York explains: "In the Casa app, you can book a handyman visit and say, 'I want these three things done.'" "We'll look at those tasks, we'll look at the history of your home, and all the information we have about it, to do that thing really well for you." "You might say, 'I want to hang up a bunch of family artwork in the hallway.' We'll come back to you and say, 'Do you already have the frames? Do you want us to find them for you? If you do, we'll come back to you with a bunch of options based on your past preferences.'" "And we'll actually have those frames ready for you, or in the hands of the handyman, before they even show up."
1:14

Casa is basically an AI-powered concierge for homeowners They work with you so that Casa knows the history of your house, all the maintenance you've done on it, etc. And when you have a job for the house, Casa uses the data to get the work done from start to finish CEO Michael York explains: "In the Casa app, you can book a handyman visit and say, 'I want these three things done.'" "We'll look at those tasks, we'll look at the history of your home, and all the information we have about it, to do that thing really well for you." "You might say, 'I want to hang up a bunch of family artwork in the hallway.' We'll come back to you and say, 'Do you already have the frames? Do you want us to find them for you? If you do, we'll come back to you with a bunch of options based on your past preferences.'" "And we'll actually have those frames ready for you, or in the hands of the handyman, before they even show up."

TBPN

21,934 次观看 • 1 个月前

Tony Blair and Oracle co-founder Larry Ellison plan to use digital ID to "unify" all data on each country's citizens "so it can be consumed and used by" their AI models. "We have to take all of this data... and move it into a single... unified data platform." "When we want to ask a question, we've provided that AI model with all the data they need to understand our country." "We need to unify all of the national data, put it into a database where it's easily consumable by the AI model, and then ask whatever question you like."
1:06

Tony Blair and Oracle co-founder Larry Ellison plan to use digital ID to "unify" all data on each country's citizens "so it can be consumed and used by" their AI models. "We have to take all of this data... and move it into a single... unified data platform." "When we want to ask a question, we've provided that AI model with all the data they need to understand our country." "We need to unify all of the national data, put it into a database where it's easily consumable by the AI model, and then ask whatever question you like."

Wide Awake Media

54,084 次观看 • 7 个月前

Today we're launching Amplitude MCP MCP was made for data analytics. Ask a vague question and have an AI model iteratively query Amplitude to find you insights. Amplitude MCP exposes all of Amplitude's functionality so an agent can interact with it directly. It allows you to use Amplitude without having to know anything about Amplitude's user interface or your data taxonomy. It uses the intelligence of off the shelf AI agents, including Claude, Gemini, and Cursor, to query Amplitude data you already have to find answers. It leverages all of your existing Amplitude data and how it's used to navigate through large complex behavioral datasets. You can have conversations about your product data directly inside any AI model with MCP. It can create Amplitude dashboards and notebooks with what it finds and even make recommendations. This is the best MCP use case I've ever seen. Watching an AI agent think, reason, query Amplitude, and then repeat that process iteratively is magical. See it in action:
3:08

Today we're launching Amplitude MCP MCP was made for data analytics. Ask a vague question and have an AI model iteratively query Amplitude to find you insights. Amplitude MCP exposes all of Amplitude's functionality so an agent can interact with it directly. It allows you to use Amplitude without having to know anything about Amplitude's user interface or your data taxonomy. It uses the intelligence of off the shelf AI agents, including Claude, Gemini, and Cursor, to query Amplitude data you already have to find answers. It leverages all of your existing Amplitude data and how it's used to navigate through large complex behavioral datasets. You can have conversations about your product data directly inside any AI model with MCP. It can create Amplitude dashboards and notebooks with what it finds and even make recommendations. This is the best MCP use case I've ever seen. Watching an AI agent think, reason, query Amplitude, and then repeat that process iteratively is magical. See it in action:

Spenser Skates

32,295 次观看 • 8 个月前

I asked Luke Kornet about his memories from stretches where he was a DNP for many games in a row, and what his message is to the young guys who find themselves in that position now: “It's just a lot of peace to come to life of accepting the position that you're in and then just doing the best with that, versus trying to fight it and want to be in a different one.” “You can spend a lot of time worrying about things that you can't really control. But when you just take the opportunity that you have and do the best with that, you can have days like today where a lot of guys came in and were able to contribute. You can have peace about knowing that you did your job well, just as you did the day before, the day after. It might just look a different way every time. I feel like that's what I've been taught through my life. That's the only thing attitude that you can have that you can actually do something with – versus trying to control things that are outside of what you can control.”
2:15

I asked Luke Kornet about his memories from stretches where he was a DNP for many games in a row, and what his message is to the young guys who find themselves in that position now: “It's just a lot of peace to come to life of accepting the position that you're in and then just doing the best with that, versus trying to fight it and want to be in a different one.” “You can spend a lot of time worrying about things that you can't really control. But when you just take the opportunity that you have and do the best with that, you can have days like today where a lot of guys came in and were able to contribute. You can have peace about knowing that you did your job well, just as you did the day before, the day after. It might just look a different way every time. I feel like that's what I've been taught through my life. That's the only thing attitude that you can have that you can actually do something with – versus trying to control things that are outside of what you can control.”

Noa Dalzell 🏀

48,747 次观看 • 1 年前

Nick Jackson's message to anyone in the transfer portal considering Iowa: “Everybody is a person of their word here. You’re going to come into a group, an environment of brothers that want to compete with you, work with you and just bond with you — to be the best players and best team that we can be possible.”
0:51

Nick Jackson's message to anyone in the transfer portal considering Iowa: “Everybody is a person of their word here. You’re going to come into a group, an environment of brothers that want to compete with you, work with you and just bond with you — to be the best players and best team that we can be possible.”

Tyler Tachman

96,041 次观看 • 1 年前

Discover the power of $MPC! The native token from #PartisiaBlockchain can be used for governance, security, collateralization, & insurance. Stake to secure the network, get incentives, & safeguard private data and cross-chain bridges. Explore ➪ 🚀 #MPC
0:35

Discover the power of $MPC! The native token from #PartisiaBlockchain can be used for governance, security, collateralization, & insurance. Stake to secure the network, get incentives, & safeguard private data and cross-chain bridges. Explore ➪ 🚀 #MPC

Partisia Blockchain

72,714 次观看 • 2 年前

Naval Ravikant’s advice for raising venture capital: “It is an emotional sale, not a rational sale” “The process of raising money from an investor, a friend of mine once joked, is the process of young men and women seducing old men and women. You’re essentially trying to get them to look at you, and to see themselves in you… And so it is an emotional sale. It is not a rational sale. And you have to understand that at its core level.” And as Naval explains, emotional sales do not happen via checklists. For example, it’s rare to fall in love with someone because they check a bunch of boxes (e.g. pretty good looking, pretty nice, pretty smart, etc.). “Usually there is one thing about the person that is so overwhelming that makes you fall in love with them. And in that same way, when an investor is deciding to make an investment in a startup, they usually look for one exceptional characteristic about the startup that they truly adore.” Naval believes there are four categories in which you can really excel: 1. Team. “If you can show that you have done something exceptional, other than starting this company, that’s a huge thing.” 2. Product. “A lot of entrepreneurs make the mistake of showing investors a half-finished or not-working product and then try and explain their way around it. The reality is investors are users also, so they’re highly visual. They want to see it. They want to play with it. And they’ll make up their mind very quickly.” 3.Customer traction. “If you have users and if those users are organically joining and growing, that’s very good. If you have to say: give us money and then I’ll go get customers, they don’t like to hear that.” 4. Social proof. “Social proof is basically looking at what other people are doing and doing that. So in the investing context, what this means is if you have one investor committed, very often you can get more investors interested. Or if you have a famous entrepreneur or advisor who’s very knowledgeable, involved with with the company, that can help bring investors.” Naval concludes: “So those are the four criteria that I think most investors look at, and you really want to be exceptional at at least one of them.
2:50

Naval Ravikant’s advice for raising venture capital: “It is an emotional sale, not a rational sale” “The process of raising money from an investor, a friend of mine once joked, is the process of young men and women seducing old men and women. You’re essentially trying to get them to look at you, and to see themselves in you… And so it is an emotional sale. It is not a rational sale. And you have to understand that at its core level.” And as Naval explains, emotional sales do not happen via checklists. For example, it’s rare to fall in love with someone because they check a bunch of boxes (e.g. pretty good looking, pretty nice, pretty smart, etc.). “Usually there is one thing about the person that is so overwhelming that makes you fall in love with them. And in that same way, when an investor is deciding to make an investment in a startup, they usually look for one exceptional characteristic about the startup that they truly adore.” Naval believes there are four categories in which you can really excel: 1. Team. “If you can show that you have done something exceptional, other than starting this company, that’s a huge thing.” 2. Product. “A lot of entrepreneurs make the mistake of showing investors a half-finished or not-working product and then try and explain their way around it. The reality is investors are users also, so they’re highly visual. They want to see it. They want to play with it. And they’ll make up their mind very quickly.” 3.Customer traction. “If you have users and if those users are organically joining and growing, that’s very good. If you have to say: give us money and then I’ll go get customers, they don’t like to hear that.” 4. Social proof. “Social proof is basically looking at what other people are doing and doing that. So in the investing context, what this means is if you have one investor committed, very often you can get more investors interested. Or if you have a famous entrepreneur or advisor who’s very knowledgeable, involved with with the company, that can help bring investors.” Naval concludes: “So those are the four criteria that I think most investors look at, and you really want to be exceptional at at least one of them.

Startup Archive

57,604 次观看 • 1 年前

Independent journalist Efrat Fenigson outlines how digital ID—once connected to programmable central bank digital currencies—grants government absolute totalitarian control. "If you have a digital ID... your identity is revealed to the state for almost any action that you take, especially online actions." "They are able to tell which websites you went to, what did you purchase... your opinions." "They can use AI to... analyse, quickly, large sums of data and say... all the people that are looking at permaculture in order to avoid the state control over food—I'm just giving an example off the top of my head—let's go after them." "And then let's give them a quota—of their CBDC—of how much they can use to buy fertilisers, for example, because they're going to grow their own food and we don't want them to do that. We want them to buy the industrial food in the supermarket." "There are so many examples you can make up." Credit: Efrat Fenigson Free Cities Foundation
1:39

Independent journalist Efrat Fenigson outlines how digital ID—once connected to programmable central bank digital currencies—grants government absolute totalitarian control. "If you have a digital ID... your identity is revealed to the state for almost any action that you take, especially online actions." "They are able to tell which websites you went to, what did you purchase... your opinions." "They can use AI to... analyse, quickly, large sums of data and say... all the people that are looking at permaculture in order to avoid the state control over food—I'm just giving an example off the top of my head—let's go after them." "And then let's give them a quota—of their CBDC—of how much they can use to buy fertilisers, for example, because they're going to grow their own food and we don't want them to do that. We want them to buy the industrial food in the supermarket." "There are so many examples you can make up." Credit: Efrat Fenigson Free Cities Foundation

Wide Awake Media

128,088 次观看 • 8 个月前

I got a smart meter recently and saw you can download a HDF file with the data so I had the idea of writing a script that could parse that and show the data in a useful manner. However I discovered that someone has already done this and done a really good job on it. The video explains how it works. In simple terms it uses the ESB smart meter data and shows a breakdown of how much data you are using and when and also recommends plans and estimates what each one would cost based on the data. The tool is available at easier to read on Laptop or Tablet or then your phone to Landscape.
1:26

I got a smart meter recently and saw you can download a HDF file with the data so I had the idea of writing a script that could parse that and show the data in a useful manner. However I discovered that someone has already done this and done a really good job on it. The video explains how it works. In simple terms it uses the ESB smart meter data and shows a breakdown of how much data you are using and when and also recommends plans and estimates what each one would cost based on the data. The tool is available at easier to read on Laptop or Tablet or then your phone to Landscape.

Carlow Weather

298,504 次观看 • 2 年前

Jeff Bezos: “Any high-performing organization has to have mechanisms and a culture that supports truth telling” As Jeff explains in the clip below: “Truths often don’t want to be heard. Important truths can be uncomfortable, awkward, exhausting, challenging. They can make people defensive, even if that’s not the intent. But any high-performing organization—whether it’s a sports team, a business, a political organization, or activist group—has to have mechanisms and a culture that supports truth telling.” And one of the things you have to do to support this kind of culture is talk about it: “You have to talk about the fact that it takes energy to do that. And you have to remind people that it’s ok that it’s uncomfortable. You have to literally tell people: it’s not what we’re designed to do as humans… we mostly survive by being social animals—cordial and cooperative.” He continues: “You also want to set up your culture so that the most junior person can overrule the most senior person.” And in every meeting Jeff attends, he always speaks last: “I know from experience that if I speak first, even very strong-willed, highly-intelligent participants of that meeting will [wonder if their ideas are incorrect because they’re different from Jeff’s]… Ideally you try to have the most junior go first and then go in order of seniority so that you can hear everyone’s opinion in an unfiltered way… Because we really do change our opinions—if somebody you really respect says something, it makes you change your mind a little.” Jeff also points out that a lot of the most powerful truths aren’t always based on data—they turn out to be hunches, are based on anecdotes, or are intuition-based: “You may feel yourself leaning in. It may resonate with a set of anecdotes you have. And then you may be able to say: ‘something about that feels right. Let’s go collect some data on that and try to see if we can know if it’s right.’” And lastly he discusses fighting inherent biases. For example, most companies usually have an optimism bias. As Jeff explains: “If there are two interpretations of a new set of data—one is happy and the other is unhappy—it’s a little dangerous to jump to the conclusion that the happy interpretation is right. You may want to compensate for that human bias of trying to find the silver lining and say ‘that might be good, but I’m gonna go with it’s bad for now until we’re sure.’”
4:11

Jeff Bezos: “Any high-performing organization has to have mechanisms and a culture that supports truth telling” As Jeff explains in the clip below: “Truths often don’t want to be heard. Important truths can be uncomfortable, awkward, exhausting, challenging. They can make people defensive, even if that’s not the intent. But any high-performing organization—whether it’s a sports team, a business, a political organization, or activist group—has to have mechanisms and a culture that supports truth telling.” And one of the things you have to do to support this kind of culture is talk about it: “You have to talk about the fact that it takes energy to do that. And you have to remind people that it’s ok that it’s uncomfortable. You have to literally tell people: it’s not what we’re designed to do as humans… we mostly survive by being social animals—cordial and cooperative.” He continues: “You also want to set up your culture so that the most junior person can overrule the most senior person.” And in every meeting Jeff attends, he always speaks last: “I know from experience that if I speak first, even very strong-willed, highly-intelligent participants of that meeting will [wonder if their ideas are incorrect because they’re different from Jeff’s]… Ideally you try to have the most junior go first and then go in order of seniority so that you can hear everyone’s opinion in an unfiltered way… Because we really do change our opinions—if somebody you really respect says something, it makes you change your mind a little.” Jeff also points out that a lot of the most powerful truths aren’t always based on data—they turn out to be hunches, are based on anecdotes, or are intuition-based: “You may feel yourself leaning in. It may resonate with a set of anecdotes you have. And then you may be able to say: ‘something about that feels right. Let’s go collect some data on that and try to see if we can know if it’s right.’” And lastly he discusses fighting inherent biases. For example, most companies usually have an optimism bias. As Jeff explains: “If there are two interpretations of a new set of data—one is happy and the other is unhappy—it’s a little dangerous to jump to the conclusion that the happy interpretation is right. You may want to compensate for that human bias of trying to find the silver lining and say ‘that might be good, but I’m gonna go with it’s bad for now until we’re sure.’”

Startup Archive

1,167,094 次观看 • 2 年前

I hear so often from the Dommes I work with that they struggle with people online fetichizing them and simply seeing them for how sexy and beautiful they are. They project their fantasies and their desires onto you. That stops immediately once you move the attention from you to them. From 'look at me' to 'I see you'. What does that look like? When you create content, think of them and what this scene or that narrative is evoking. What will they learn from you? What they want is not to passively watch how sexy you are, but for you to train them, to give them instructions, to teach them, to guide them, to be in charge, to command them. This is not being an object but the main subject. The Authority figure. How is your content already doing that. The sexy photos can still be there, they are important to already capture des attention. But what you do with that attention once you have it, is where the power dynamic is established. Positioning yourself as more than a stunning Goddess, but actually a woman who has a voice, opinions, perspective, a philosophy, a way to doing things, teaching them what you like, how you like it, why you like it, already makes them want to be that for you. You hold the attention, you hold the power, so you direct it. And for that, you want them to know you get them and you know what lives within them... that creates the desire for you to be the one exposing it. You instantly build trust. Not because you demanded it, but because you earned it: you showed them you know what you are doing. You have experience, you understand them. They are not told to come see you, they are seduced into it. They desire it. And they will work for it. This will attract better clients (real subs) and instead of you trying to get their attention, they will work to earn yours. If you want to learn more about power dynamics, building a brand as a Pro or the psychology behind BDSM, you can now access all my trainings and classes in one place for a fraction of the cost of The Dominatrix Academy. And you can reinvest the total amount towards the Program. Message me [SECRET] for the details. This offer is not available on my website.
0:51

I hear so often from the Dommes I work with that they struggle with people online fetichizing them and simply seeing them for how sexy and beautiful they are. They project their fantasies and their desires onto you. That stops immediately once you move the attention from you to them. From 'look at me' to 'I see you'. What does that look like? When you create content, think of them and what this scene or that narrative is evoking. What will they learn from you? What they want is not to passively watch how sexy you are, but for you to train them, to give them instructions, to teach them, to guide them, to be in charge, to command them. This is not being an object but the main subject. The Authority figure. How is your content already doing that. The sexy photos can still be there, they are important to already capture des attention. But what you do with that attention once you have it, is where the power dynamic is established. Positioning yourself as more than a stunning Goddess, but actually a woman who has a voice, opinions, perspective, a philosophy, a way to doing things, teaching them what you like, how you like it, why you like it, already makes them want to be that for you. You hold the attention, you hold the power, so you direct it. And for that, you want them to know you get them and you know what lives within them... that creates the desire for you to be the one exposing it. You instantly build trust. Not because you demanded it, but because you earned it: you showed them you know what you are doing. You have experience, you understand them. They are not told to come see you, they are seduced into it. They desire it. And they will work for it. This will attract better clients (real subs) and instead of you trying to get their attention, they will work to earn yours. If you want to learn more about power dynamics, building a brand as a Pro or the psychology behind BDSM, you can now access all my trainings and classes in one place for a fraction of the cost of The Dominatrix Academy. And you can reinvest the total amount towards the Program. Message me [SECRET] for the details. This offer is not available on my website.

Ms. Malissia

14,297 次观看 • 1 个月前

99% of AI applications are cool-looking demos. Impressive, but don't get fooled by the hype. It takes a lot to build enterprise-grade products that deliver real value. I have at least three weekly conversations with companies that want to use a Large Language Model with their data. The demand is huge! Here is one idea about what you can do to help. The use cases that most of these companies want to solve are similar: They have an extensive knowledge base and want to build a simple application that uses that information to answer questions. In other words, they need help building Retrieval Augmented Generation (RAG) applications they can use in many different scenarios: 1. To train new employees 2. To help their support team 3. To search old meetings and documents 4. To help with their research However, building these systems is not straightforward. Yes, there's a lot of information online, but there aren't enough people who know how to create solutions that work. Here is the idea: Today, you can build an enterprise-grade RAG application without writing code. A couple of MIT PhDs with 10+ years of experience building AI applications created . It's a no-code platform for building applications using Large Language Models. They are partnering with me on this post. You can use Stack AI to create, test, and deploy an end-to-end production-ready AI system. It's SOC-2, HIPAA, and GDPR compliant and offers SSO, role management, access control, and on-premise deployments. Of course, you can use the platform with any LLM on the market now. It's the whole nine yards for building AI applications. Check them out here: 2023 was about models. 2024 is about the tools using these models to build production-ready applications. That's where I'd start.
0:31

99% of AI applications are cool-looking demos. Impressive, but don't get fooled by the hype. It takes a lot to build enterprise-grade products that deliver real value. I have at least three weekly conversations with companies that want to use a Large Language Model with their data. The demand is huge! Here is one idea about what you can do to help. The use cases that most of these companies want to solve are similar: They have an extensive knowledge base and want to build a simple application that uses that information to answer questions. In other words, they need help building Retrieval Augmented Generation (RAG) applications they can use in many different scenarios: 1. To train new employees 2. To help their support team 3. To search old meetings and documents 4. To help with their research However, building these systems is not straightforward. Yes, there's a lot of information online, but there aren't enough people who know how to create solutions that work. Here is the idea: Today, you can build an enterprise-grade RAG application without writing code. A couple of MIT PhDs with 10+ years of experience building AI applications created . It's a no-code platform for building applications using Large Language Models. They are partnering with me on this post. You can use Stack AI to create, test, and deploy an end-to-end production-ready AI system. It's SOC-2, HIPAA, and GDPR compliant and offers SSO, role management, access control, and on-premise deployments. Of course, you can use the platform with any LLM on the market now. It's the whole nine yards for building AI applications. Check them out here: 2023 was about models. 2024 is about the tools using these models to build production-ready applications. That's where I'd start.

Santiago

197,675 次观看 • 2 年前

.Martin Shkreli is skeptical of the narrative that finance companies will rush to replace employees with AI. “If you become more productive at work, the company doesn’t say, ‘Oh, let’s get rid of you and save whatever amount of money.' They’re already making money with you employed. The fact that you’re becoming more productive means that whatever the margins were, they’re probably improving.” “We as humans want to employ other humans, and we want to be productive. Nobody wants to needlessly employ people, but I think that there's this idea of - a machine can do your job. We have this at my office. I say, ‘Chris, I wrote a program to do your job. Good news, you don’t have to do it anymore, but there’s a new thing you have to do now.’ And our company just got twice as efficient. It’s wonderful.” “If that person has a couple more hours a day now, great. They can go meet with potential recruits or go meet with some potential customers. There’s always something you can do.” “In finance, adoption of AI has been very slow, and it’s probably going to stay that way. Finance people are stuck in their ways, which is a good thing and a bad thing. If you’re selling software to them, once they get stuck in their way, you’re very happy. But there tends to be a heavy dose of contrarianism in certain industries. And I’d say across the S&P 500, there’s this sort of, ‘technology - we’ll use it eventually.’”
3:14

.Martin Shkreli is skeptical of the narrative that finance companies will rush to replace employees with AI. “If you become more productive at work, the company doesn’t say, ‘Oh, let’s get rid of you and save whatever amount of money.' They’re already making money with you employed. The fact that you’re becoming more productive means that whatever the margins were, they’re probably improving.” “We as humans want to employ other humans, and we want to be productive. Nobody wants to needlessly employ people, but I think that there's this idea of - a machine can do your job. We have this at my office. I say, ‘Chris, I wrote a program to do your job. Good news, you don’t have to do it anymore, but there’s a new thing you have to do now.’ And our company just got twice as efficient. It’s wonderful.” “If that person has a couple more hours a day now, great. They can go meet with potential recruits or go meet with some potential customers. There’s always something you can do.” “In finance, adoption of AI has been very slow, and it’s probably going to stay that way. Finance people are stuck in their ways, which is a good thing and a bad thing. If you’re selling software to them, once they get stuck in their way, you’re very happy. But there tends to be a heavy dose of contrarianism in certain industries. And I’d say across the S&P 500, there’s this sort of, ‘technology - we’ll use it eventually.’”

TBPN

50,772 次观看 • 4 个月前

Democrats in Colorado are preparing to permanently end farming in the state “This would be the end of farming and ranching and private (farm) land ownership in Colorado” “There's something happening in Colorado which is not so good. The corridor of people that don't understand the rural lifestyle that live in all the cities in Colorado are controlling that state. This would be the end of farming and ranching and private land ownership in Colorado. Because what they propose is that they want to set up a committee that cannot have any farmers and ranchers on the committee to decide what happens to our public lands and private lands in the name of conservation. They want to be able to say that any, put any species on the state endangered species list, which would dictate what you can do on your land if you have that species on there. So they could just say, oh, this squirrel is endangered. And now you have 400 restrictions on your property that you can't use it. You for this. You can't cut down this tree. You can't move cattle in this area. This is activist environmental proposal to take over that entire state. Because if they get control of that, they can literally dictate the use of any land, public or private, in the name of conservation.”
1:07

Democrats in Colorado are preparing to permanently end farming in the state “This would be the end of farming and ranching and private (farm) land ownership in Colorado” “There's something happening in Colorado which is not so good. The corridor of people that don't understand the rural lifestyle that live in all the cities in Colorado are controlling that state. This would be the end of farming and ranching and private land ownership in Colorado. Because what they propose is that they want to set up a committee that cannot have any farmers and ranchers on the committee to decide what happens to our public lands and private lands in the name of conservation. They want to be able to say that any, put any species on the state endangered species list, which would dictate what you can do on your land if you have that species on there. So they could just say, oh, this squirrel is endangered. And now you have 400 restrictions on your property that you can't use it. You for this. You can't cut down this tree. You can't move cattle in this area. This is activist environmental proposal to take over that entire state. Because if they get control of that, they can literally dictate the use of any land, public or private, in the name of conservation.”

Wall Street Apes

648,875 次观看 • 1 年前