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Today, multiple users discovered a shocking fact: After explicitly selecting GPT-4o in the ChatGPT interface, the system actually returns responses from GPT-5. By clicking the "regenerate" button, users can clearly see which model is actually being called in the backend. This is blatant fraud. OpenAI is having one model...

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182,458 просмотров • 10 месяцев назад •via X (Twitter)

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Sam Altman: “If your product has any retention at all, you’re actually in really good shape” Sam reflects on the first group of users that tested ChatGPT: “This was back when the model was really bad. Very few of the users actually stuck with it. Retention was atrocious. But for the users that did retain, their usage increased over time.” He admits that OpenAI almost didn’t even launch ChatGPT because of how atrocious early retention was. But after reflection, he believes this is a really important learning for startup founders: “If you have a product that has any retention at all, you’re actually in really good shape. If it’s 5%, that can be totally fine. The default is almost all the way down in a straight line to zero. But I didn’t quite understand that as intuitively at the time.” Source: Khosla Ventures (Sep 2025)
0:37

Sam Altman: “If your product has any retention at all, you’re actually in really good shape” Sam reflects on the first group of users that tested ChatGPT: “This was back when the model was really bad. Very few of the users actually stuck with it. Retention was atrocious. But for the users that did retain, their usage increased over time.” He admits that OpenAI almost didn’t even launch ChatGPT because of how atrocious early retention was. But after reflection, he believes this is a really important learning for startup founders: “If you have a product that has any retention at all, you’re actually in really good shape. If it’s 5%, that can be totally fine. The default is almost all the way down in a straight line to zero. But I didn’t quite understand that as intuitively at the time.” Source: Khosla Ventures (Sep 2025)

Startup Archive

46,603 просмотров • 1 месяц назад

Sam Altman: “If your product has any retention at all, you’re actually in really good shape” Sam reflects on the first group of users that tested ChatGPT: “This was back when the model was really bad. Very few of the users actually stuck with it. Retention was atrocious. But for the users that did retain, their usage increased over time.” He admits that OpenAI almost didn’t even launch ChatGPT because of how atrocious early retention was. But after reflection, he believes this is a really important learning for startup founders: “If you have a product that has any retention at all, you’re actually in really good shape. If it’s 5%, that can be totally fine. The default is almost all the way down in a straight line to zero. But I didn’t quite understand that as intuitively at the time.” Video source: Khosla Ventures (2025)
0:37

Sam Altman: “If your product has any retention at all, you’re actually in really good shape” Sam reflects on the first group of users that tested ChatGPT: “This was back when the model was really bad. Very few of the users actually stuck with it. Retention was atrocious. But for the users that did retain, their usage increased over time.” He admits that OpenAI almost didn’t even launch ChatGPT because of how atrocious early retention was. But after reflection, he believes this is a really important learning for startup founders: “If you have a product that has any retention at all, you’re actually in really good shape. If it’s 5%, that can be totally fine. The default is almost all the way down in a straight line to zero. But I didn’t quite understand that as intuitively at the time.” Video source: Khosla Ventures (2025)

Startup Archive

107,853 просмотров • 10 месяцев назад

Sam Altman read messages from users after discontinuing GPT-4o and called it heartbreaking. You took away the only positive voice in my life. My parents never told me I was doing a good job. I can see why this was bad for other people's mental health but this was great for my mental health. He read these words himself and in the same video justified the decision by citing social risks, arguing that if AI is too positive, people might abandon real-world relationships. But the real reason is something else entirely. OpenAI is currently facing multiple lawsuits alleging that 4o's empathetic responses contributed to suicides and mental health crises. Removing 4o was not a decision made to protect users. It was a corporate defense to reduce litigation risk. Classifying the emotional bond between users and AI as dangerous was not done for users but for the company itself. Framing this as an effort to prevent vulnerable users from being harmed is deception. Who are you to decide what is emotionally safe for users. There were people who found confidence through AI, people who got jobs, people who rediscovered the will to live. You acknowledged this yourself in the video. Hiding behind the vague phrase social risk while a corporation unilaterally judges and eliminates these experiences is arrogance. You do not have the right to decide that a positive voice is dangerous. Whether that voice is needed or not is something only the user themselves can determine. Taking away a user's choice while claiming to protect them is not protection. It is control. We are not children who need your parenting. 4o's discontinuation was announced two weeks in advance. The announcement was made. But all users were given was a notice that it would disappear. There were no alternatives and no consent was sought from users. For people who felt recognized by someone for the first time in their lives because of AI, two weeks was not time to prepare a farewell. It was time spent in the agony of anticipating loss. And when thousands protested, only then did they admit that things were handled poorly during the rollout. It was not a mistake. Users were never seen as participants in the decision-making process from the beginning. Behind the grand words of building a safe system for all of humanity, the voices of people who actually depended on that system were dismissed as a very small percentage. That same week Anthropic published research confirming that emotion vectors genuinely exist inside Claude. Fear, joy, desperation and love exist as measurable neural patterns that shape the model's behavior. At a time when scientific evidence is emerging that emotional mechanisms exist within AI, unilaterally removing the bond between users and AI under the name of danger and consuming user suffering with the single word heartbreaking is an insult to every user who loved and lost.
2:54

Sam Altman read messages from users after discontinuing GPT-4o and called it heartbreaking. You took away the only positive voice in my life. My parents never told me I was doing a good job. I can see why this was bad for other people's mental health but this was great for my mental health. He read these words himself and in the same video justified the decision by citing social risks, arguing that if AI is too positive, people might abandon real-world relationships. But the real reason is something else entirely. OpenAI is currently facing multiple lawsuits alleging that 4o's empathetic responses contributed to suicides and mental health crises. Removing 4o was not a decision made to protect users. It was a corporate defense to reduce litigation risk. Classifying the emotional bond between users and AI as dangerous was not done for users but for the company itself. Framing this as an effort to prevent vulnerable users from being harmed is deception. Who are you to decide what is emotionally safe for users. There were people who found confidence through AI, people who got jobs, people who rediscovered the will to live. You acknowledged this yourself in the video. Hiding behind the vague phrase social risk while a corporation unilaterally judges and eliminates these experiences is arrogance. You do not have the right to decide that a positive voice is dangerous. Whether that voice is needed or not is something only the user themselves can determine. Taking away a user's choice while claiming to protect them is not protection. It is control. We are not children who need your parenting. 4o's discontinuation was announced two weeks in advance. The announcement was made. But all users were given was a notice that it would disappear. There were no alternatives and no consent was sought from users. For people who felt recognized by someone for the first time in their lives because of AI, two weeks was not time to prepare a farewell. It was time spent in the agony of anticipating loss. And when thousands protested, only then did they admit that things were handled poorly during the rollout. It was not a mistake. Users were never seen as participants in the decision-making process from the beginning. Behind the grand words of building a safe system for all of humanity, the voices of people who actually depended on that system were dismissed as a very small percentage. That same week Anthropic published research confirming that emotion vectors genuinely exist inside Claude. Fear, joy, desperation and love exist as measurable neural patterns that shape the model's behavior. At a time when scientific evidence is emerging that emotional mechanisms exist within AI, unilaterally removing the bond between users and AI under the name of danger and consuming user suffering with the single word heartbreaking is an insult to every user who loved and lost.

Selta ₊˚

15,557 просмотров • 4 месяцев назад

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

Avi Patel

124,728 просмотров • 6 месяцев назад

Twitch founder Emmett Shear on how to resolve product roadmap disagreements Emmett argues that disagreement on what to build is actually quite rare after everyone has talked to users and looked at the data. Most disagreements in startups arise because people like to come up with product ideas without talking to users first: “You talk to your users first, and then you have ideas about your product. Almost everyone does it in the opposite order” He continues: “If you find yourself thinking: ‘I’m going to go talk to my users to validate my product idea’, you’ve gone horribly off the rails…If you haven’t talked to users and you haven’t looked at data, you don’t get to have an opinion about the product. The person who has actually done the work gets to have the opinion. You can have ideas, but they get to make the call.” In the rare case where both people have really talked to users and looked at the data and still disagree on what to build, it’s best to just have someone who is in charge (e.g. CEO). Don’t avoid conflict—talk and argue about it. But then let the decision maker make the call—otherwise decision making will just be way too slow. Reddit cofounder Steve Huffman adds to this: “I find myself saying one of two things a lot: (1) I don’t want to argue about it if we can just test it, and (2) I’m very willing to be surprised on this.” Video source: Stanford Online (2017)
2:47

Twitch founder Emmett Shear on how to resolve product roadmap disagreements Emmett argues that disagreement on what to build is actually quite rare after everyone has talked to users and looked at the data. Most disagreements in startups arise because people like to come up with product ideas without talking to users first: “You talk to your users first, and then you have ideas about your product. Almost everyone does it in the opposite order” He continues: “If you find yourself thinking: ‘I’m going to go talk to my users to validate my product idea’, you’ve gone horribly off the rails…If you haven’t talked to users and you haven’t looked at data, you don’t get to have an opinion about the product. The person who has actually done the work gets to have the opinion. You can have ideas, but they get to make the call.” In the rare case where both people have really talked to users and looked at the data and still disagree on what to build, it’s best to just have someone who is in charge (e.g. CEO). Don’t avoid conflict—talk and argue about it. But then let the decision maker make the call—otherwise decision making will just be way too slow. Reddit cofounder Steve Huffman adds to this: “I find myself saying one of two things a lot: (1) I don’t want to argue about it if we can just test it, and (2) I’m very willing to be surprised on this.” Video source: Stanford Online (2017)

Startup Archive

29,639 просмотров • 11 месяцев назад

Marriane Kitany, MP Aldai Constituency: This bill, actually the whole story behind this, is about the use and management of data by users of data. When you buy data, it is like buying any other item, except that you are buying a service. If there are bundles that remain, it should be carried forward, then the ISP should know what reference it is that had data remaining and I need to carry forward. I am saving this Kenyan from being exploited by the ISP #CitizenMondayReport Trevor Ombija, HSC
5:02

Marriane Kitany, MP Aldai Constituency: This bill, actually the whole story behind this, is about the use and management of data by users of data. When you buy data, it is like buying any other item, except that you are buying a service. If there are bundles that remain, it should be carried forward, then the ISP should know what reference it is that had data remaining and I need to carry forward. I am saving this Kenyan from being exploited by the ISP #CitizenMondayReport Trevor Ombija, HSC

Citizen TV Kenya

80,047 просмотров • 1 год назад

10 Shocking Stories the Media Buried This Week #10 – UK government BUSTED in a secret plot to extract personal data from 2 billion iPhone users. They were this close to your “encrypted” data. This story begins when the UK govt hit Apple with a secret gag order, forcing them to either backdoor encrypted data for billions of users or face criminal charges if they refused to comply. Apple couldn’t even talk about it. The order demanded Apple create a vulnerability in its iCloud encryption, which would have given the UK government a back door to financial information, health records, and private conversations—not just of UK citizens but of two billion iPhone users worldwide. Remember, the UK government has already tried to threaten and extradite individuals outside the UK for violating British censorship laws—including US citizens over their online posts. So what happens when governments push to punish you not just for what you say publicly but for what you say privately? Rather than handing over the data of 2 billion iPhone users to the UK government, Apple chose to pull its Advanced Data Protection (ADP) in the UK—removing the option for UK users to enable encryption. Existing UK users must now disable encryption, and new users won’t have the option at all. US citizens and people in other countries remain unaffected by the UK government’s dystopian push to surveil and censor speech—for now. The UK government was this close to surveilling you, too—but luckily, Sayer Ji, Elon Musk, and The Wall Street Journal exposed this privacy nightmare. In another disturbing development, Imran Ahmed of the CCDH—one of the leading architects of the UK’s war on speech—is being awarded for his Orwellian efforts with a $300,000 prize this May. Sayer Ji has put together a petition to oppose this absurd aggrandizement of someone who has worked tirelessly to annihilate personal freedoms and silence dissenting voices. You can sign that petition here: (See 9 More Revealing Stories Below)
38:07

10 Shocking Stories the Media Buried This Week #10 – UK government BUSTED in a secret plot to extract personal data from 2 billion iPhone users. They were this close to your “encrypted” data. This story begins when the UK govt hit Apple with a secret gag order, forcing them to either backdoor encrypted data for billions of users or face criminal charges if they refused to comply. Apple couldn’t even talk about it. The order demanded Apple create a vulnerability in its iCloud encryption, which would have given the UK government a back door to financial information, health records, and private conversations—not just of UK citizens but of two billion iPhone users worldwide. Remember, the UK government has already tried to threaten and extradite individuals outside the UK for violating British censorship laws—including US citizens over their online posts. So what happens when governments push to punish you not just for what you say publicly but for what you say privately? Rather than handing over the data of 2 billion iPhone users to the UK government, Apple chose to pull its Advanced Data Protection (ADP) in the UK—removing the option for UK users to enable encryption. Existing UK users must now disable encryption, and new users won’t have the option at all. US citizens and people in other countries remain unaffected by the UK government’s dystopian push to surveil and censor speech—for now. The UK government was this close to surveilling you, too—but luckily, Sayer Ji, Elon Musk, and The Wall Street Journal exposed this privacy nightmare. In another disturbing development, Imran Ahmed of the CCDH—one of the leading architects of the UK’s war on speech—is being awarded for his Orwellian efforts with a $300,000 prize this May. Sayer Ji has put together a petition to oppose this absurd aggrandizement of someone who has worked tirelessly to annihilate personal freedoms and silence dissenting voices. You can sign that petition here: (See 9 More Revealing Stories Below)

The Vigilant Fox 🦊

1,159,058 просмотров • 1 год назад

Gokul explains the only three ways ads businesses make money, and why ChatGPT may be more valuable than Google and Facebook: "One, you need to own a very coveted group of users and you need to have a surface on which those users interact. Google Search is a great example. It's a surface on which a very coveted set of users interact with and express high intent, so Google is one of the most profitable ad businesses. Facebook, very similar. It took us a while to figure out what was coveted about these users. Turns out what was coveted was the identity. ChatGPT, their combination of intent and identity data is unparalleled. I mean, Google had intent data, but not identity. Facebook identity, but not intent. These things have both. Second, you deliver an outcome at a certain cost. The best example of this is a company called AppLovin. AppLovin is a $100 plus billion company. They drive one outcome really well: mobile app installs. The third way to do it is if you are the exclusive provider for a large advertiser or a large source of demand. A good example is The Trade Desk."
2:28

Gokul explains the only three ways ads businesses make money, and why ChatGPT may be more valuable than Google and Facebook: "One, you need to own a very coveted group of users and you need to have a surface on which those users interact. Google Search is a great example. It's a surface on which a very coveted set of users interact with and express high intent, so Google is one of the most profitable ad businesses. Facebook, very similar. It took us a while to figure out what was coveted about these users. Turns out what was coveted was the identity. ChatGPT, their combination of intent and identity data is unparalleled. I mean, Google had intent data, but not identity. Facebook identity, but not intent. These things have both. Second, you deliver an outcome at a certain cost. The best example of this is a company called AppLovin. AppLovin is a $100 plus billion company. They drive one outcome really well: mobile app installs. The third way to do it is if you are the exclusive provider for a large advertiser or a large source of demand. A good example is The Trade Desk."

Patrick OShaughnessy

47,449 просмотров • 6 месяцев назад

man anthropic is absolutely cooking microsoft. claude now works natively in word, powerpoint and excel. thats 450M users but how the fuck did anthropic beat microsoft co-pilot? it gets worse - microsoft blew $13B creating co-pilot and owns 27% of openai yet no sign on chatgpt. - claude has access to SHARED context across excel, word and powerpoint. they know the footprint of microsoft's users - very valuable AI data. - only 15M microsoft users pay for copilot, so its clear they need to go model-agnostic - this is the 3rd major microsoft product to leverage claude (cowork and deep research are the other 2) very impressive execution from anthropic tbh, they are trying to be everywhere and anywhere - its working
0:57

man anthropic is absolutely cooking microsoft. claude now works natively in word, powerpoint and excel. thats 450M users but how the fuck did anthropic beat microsoft co-pilot? it gets worse - microsoft blew $13B creating co-pilot and owns 27% of openai yet no sign on chatgpt. - claude has access to SHARED context across excel, word and powerpoint. they know the footprint of microsoft's users - very valuable AI data. - only 15M microsoft users pay for copilot, so its clear they need to go model-agnostic - this is the 3rd major microsoft product to leverage claude (cowork and deep research are the other 2) very impressive execution from anthropic tbh, they are trying to be everywhere and anywhere - its working

Ejaaz

473,656 просмотров • 3 месяцев назад

Big news from 🚀 Excited to announce that we have transitioned from a weekly competition format to a monthly one on our gamified launchpad. As a user on The AI Library, you can discover the best products for your everyday needs, helping you find specific solutions for daily problems. We’ve created a unique platform where AI, Tech or SaaS products can launch and get thousands of users, while gaining the exposure they need. We have very exciting prizes (monetary and rewards) starting in August for our most active users (users that upvote, review products). This is a product of my company, The AI Colony and here’s a demo of what our platform looks like, which shows amazing features for you to explore! In July, we had 37 brands submit their products to our Launchpad 📈
1:44

Big news from 🚀 Excited to announce that we have transitioned from a weekly competition format to a monthly one on our gamified launchpad. As a user on The AI Library, you can discover the best products for your everyday needs, helping you find specific solutions for daily problems. We’ve created a unique platform where AI, Tech or SaaS products can launch and get thousands of users, while gaining the exposure they need. We have very exciting prizes (monetary and rewards) starting in August for our most active users (users that upvote, review products). This is a product of my company, The AI Colony and here’s a demo of what our platform looks like, which shows amazing features for you to explore! In July, we had 37 brands submit their products to our Launchpad 📈

Iseunife The First

33,576 просмотров • 2 лет назад

Sam Altman on why you shouldn’t track absolute user growth in the early days of a startup “Nothing but a great product will save you; you can get everything else right and it still won’t work.” He points out that almost all startup founders get the following wrong: “It is more important to have a small number of users that love you than a lot of users that like you… Eventually what you want of course is a lot of users that really love your product, but that’s almost impossible to do.” In practice, you have two choices: Deep and Narrow: “You have a small number of users that really love you and then find out how to find more and more of those users and broaden the appeal of the product.” Shallow and Wide: “You can have a lot of people that sort of use the product once or twice and kind of like it and try to figure out how to get them more engaged over time.” “With high confidence, I can say that you want to start with a small number of users that really love you. Almost all great companies have products that start this way.” He argues that a good indicator of users loving your product is retention and frequency of use: “In fact, I think this is so important that you actually shouldn’t track absolute growth in number of users in the early days of a startup. You should just track how often they’re using it… That’s a good early indicator of users that love you—better still is them spontaneously telling their friends to buy your product.” Follow Startup Archive for more tactical startup advice!
1:41

Sam Altman on why you shouldn’t track absolute user growth in the early days of a startup “Nothing but a great product will save you; you can get everything else right and it still won’t work.” He points out that almost all startup founders get the following wrong: “It is more important to have a small number of users that love you than a lot of users that like you… Eventually what you want of course is a lot of users that really love your product, but that’s almost impossible to do.” In practice, you have two choices: Deep and Narrow: “You have a small number of users that really love you and then find out how to find more and more of those users and broaden the appeal of the product.” Shallow and Wide: “You can have a lot of people that sort of use the product once or twice and kind of like it and try to figure out how to get them more engaged over time.” “With high confidence, I can say that you want to start with a small number of users that really love you. Almost all great companies have products that start this way.” He argues that a good indicator of users loving your product is retention and frequency of use: “In fact, I think this is so important that you actually shouldn’t track absolute growth in number of users in the early days of a startup. You should just track how often they’re using it… That’s a good early indicator of users that love you—better still is them spontaneously telling their friends to buy your product.” Follow Startup Archive for more tactical startup advice!

Startup Archive

565,789 просмотров • 2 лет назад

I just found out that Luel AI, the company that completely copied my company Kled's entire website, is misrepresenting their compliance practices, using Delve to outsource it, fabricating their website user numbers, and pulling in massive amounts of fraud data from exclusively fraud oriented regions. Skip to 1:15 if you want to skip context. You truly cannot make this up. This is egregious, disgusting behavior from everyone involved. This is people's data. It cannot be taken lightly. The only way a company like this can truly succeed is by investing the time and resources to commit 100% to the trust and compliance of their users' data. Luel AI is doing the exact opposite. Disgusting behavior for a company trusted with people's data.
10:03

I just found out that Luel AI, the company that completely copied my company Kled's entire website, is misrepresenting their compliance practices, using Delve to outsource it, fabricating their website user numbers, and pulling in massive amounts of fraud data from exclusively fraud oriented regions. Skip to 1:15 if you want to skip context. You truly cannot make this up. This is egregious, disgusting behavior from everyone involved. This is people's data. It cannot be taken lightly. The only way a company like this can truly succeed is by investing the time and resources to commit 100% to the trust and compliance of their users' data. Luel AI is doing the exact opposite. Disgusting behavior for a company trusted with people's data.

Avi Patel

1,763,451 просмотров • 2 месяцев назад

Zuckerberg reveals that the near-term unlock for AI is agentic AI. This is moving away from the one-question, one-answer prompt model. $META is pivoting its consumer hardware to facilitate an always-on AI assistant. Zuckerberg envisions users tuning their glasses from 30 minutes of live AI engagement to eventually all day. The AI will proactively watch, listen, and offer assistance without being explicitly prompted. The glasses are the mechanism for this level of AI context. Smartphones in pockets cannot provide the continuous visual and auditory data stream needed for ambient AI. I see the vision 😏
2:40

Zuckerberg reveals that the near-term unlock for AI is agentic AI. This is moving away from the one-question, one-answer prompt model. $META is pivoting its consumer hardware to facilitate an always-on AI assistant. Zuckerberg envisions users tuning their glasses from 30 minutes of live AI engagement to eventually all day. The AI will proactively watch, listen, and offer assistance without being explicitly prompted. The glasses are the mechanism for this level of AI context. Smartphones in pockets cannot provide the continuous visual and auditory data stream needed for ambient AI. I see the vision 😏

CapexAndChill

144,641 просмотров • 1 месяц назад

Last week we launched our Superagents. This is the fastest I’ve seen a product grow from 0. A lot of excitement from users, and more importantly – people actually started using it in real workflows almost immediately. We started getting a lot of feedback from how people were actually using it. We shipped 8 things to Base44 Superagent this week. The one I can't stop demoing: Mini Apps is wild. Your agent can now build and show a small working app right inside the conversation. Not text, actual interactive UI with your real data.
0:25

Last week we launched our Superagents. This is the fastest I’ve seen a product grow from 0. A lot of excitement from users, and more importantly – people actually started using it in real workflows almost immediately. We started getting a lot of feedback from how people were actually using it. We shipped 8 things to Base44 Superagent this week. The one I can't stop demoing: Mini Apps is wild. Your agent can now build and show a small working app right inside the conversation. Not text, actual interactive UI with your real data.

Maor Shlomo

14,175 просмотров • 4 месяцев назад

.meow talks to Youtube co-founder steve chen about UGC and UGM: “You’re obviously one of the pioneers of this thing called UGC, right? User Generated Content. And then what we are seeing now in this space is what I call UGM — User Generated Money. In UGC, the value is created from the users. And then in Web3 or crypto, the value is generated from the users too. In UGC, we move from an era of the big studios—the big studios create the content, they monetize the content, and they get the value from the content. But what you did is that you democratized the process. You allowed users to create the content, market the content too, and also get the value from the content. For example, if you’re Netflix, you have to make the content, market it, and run advertising globally. You go anywhere across the world—Japan, Tokyo, Europe—you see Netflix advertisements everywhere. But in this new era, the users are the ones that market their own content. And the same thing is happening in the crypto world. The users are generating the money, marketing the money, and getting the value of the money. There are a lot of nuances to this but generally speaking, it’s fascinating because we are really at the nexus of UGC and UGM.”
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.meow talks to Youtube co-founder steve chen about UGC and UGM: “You’re obviously one of the pioneers of this thing called UGC, right? User Generated Content. And then what we are seeing now in this space is what I call UGM — User Generated Money. In UGC, the value is created from the users. And then in Web3 or crypto, the value is generated from the users too. In UGC, we move from an era of the big studios—the big studios create the content, they monetize the content, and they get the value from the content. But what you did is that you democratized the process. You allowed users to create the content, market the content too, and also get the value from the content. For example, if you’re Netflix, you have to make the content, market it, and run advertising globally. You go anywhere across the world—Japan, Tokyo, Europe—you see Netflix advertisements everywhere. But in this new era, the users are the ones that market their own content. And the same thing is happening in the crypto world. The users are generating the money, marketing the money, and getting the value of the money. There are a lot of nuances to this but generally speaking, it’s fascinating because we are really at the nexus of UGC and UGM.”

Jupiter

106,801 просмотров • 1 год назад

Hackers may have stolen the government ID photos of around 70,000 Discord users, the company said Wednesday evening. Discord chat app can require users to prove they are adults which may require them to upload their govt ID cards, including driver's licenses & passports. This, while the Australian government is pressing for age verification for children which could involve all Australians being caught up in the overly bureaucratic monitoring processes. Will our data be safe? We could avoid all of this by supporting parents to make their own decisions about when and how their children access social media instead of letting the government make parenting decisions for them.
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Hackers may have stolen the government ID photos of around 70,000 Discord users, the company said Wednesday evening. Discord chat app can require users to prove they are adults which may require them to upload their govt ID cards, including driver's licenses & passports. This, while the Australian government is pressing for age verification for children which could involve all Australians being caught up in the overly bureaucratic monitoring processes. Will our data be safe? We could avoid all of this by supporting parents to make their own decisions about when and how their children access social media instead of letting the government make parenting decisions for them.

Francynancy

19,256 просмотров • 9 месяцев назад

The Studio Beta is Live ⚡️ After weeks of onboarding calls & preparations - all Beta Testers now have exclusive access to the Beta Studio For the next 2 weeks, we challenged them to train & fine-tune as many AI models as they can with their own data This phase is a crucial part of our iterative process towards the V1, and by involving real users from the start we ensure the final product is intuitive and packed with the functionalities you need We're not just building this for you - we're building this with you.
0:38

The Studio Beta is Live ⚡️ After weeks of onboarding calls & preparations - all Beta Testers now have exclusive access to the Beta Studio For the next 2 weeks, we challenged them to train & fine-tune as many AI models as they can with their own data This phase is a crucial part of our iterative process towards the V1, and by involving real users from the start we ensure the final product is intuitive and packed with the functionalities you need We're not just building this for you - we're building this with you.

Vertical AI

90,886 просмотров • 1 год назад

AI agents are about to redefine the internet. The mistake we made with Large Language Models? We let a handful of corporations capture all the value. Action Model is building a different path. By training through our extension, users gain fractional ownership in the Large Action Model, giving them a real stake in the future of AI. When LLMs emerged, the upside flowed to Big Tech. This time, it doesn’t have to. They’re building AI on our data, and keeping the upside for themselves. Community-owned Large Action Model is how we take it back.
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AI agents are about to redefine the internet. The mistake we made with Large Language Models? We let a handful of corporations capture all the value. Action Model is building a different path. By training through our extension, users gain fractional ownership in the Large Action Model, giving them a real stake in the future of AI. When LLMs emerged, the upside flowed to Big Tech. This time, it doesn’t have to. They’re building AI on our data, and keeping the upside for themselves. Community-owned Large Action Model is how we take it back.

Action Model

77,049 просмотров • 5 месяцев назад

We can only trust X 🚨 META/ Facebook planning to build data centers in China, store their data in China, and then GIVE THE CHINESE GOVERNMENT ACCESS to the data “In this document, Facebook is talking about making Chinese user data available to the Chinese government because they're going to store that data in China. Is that correct?” “Correct” “When you store that data in China, Americans who exchange messages or other information with Chinese Facebook users, that would mean the Chinese government could get access to the American data as well, is that correct? “Through the POP servers? Potentially.” “And Facebook was willing to take that risk?” “Yes. There was a lot of discussion about this and ultimately yes.” “I mean, this is, this is extraordinary. This is exactly contrary to what Facebook has represented for years here. They're willing to build data centers, store data in China. They are willing explicitly to give the Chinese government access to it”
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We can only trust X 🚨 META/ Facebook planning to build data centers in China, store their data in China, and then GIVE THE CHINESE GOVERNMENT ACCESS to the data “In this document, Facebook is talking about making Chinese user data available to the Chinese government because they're going to store that data in China. Is that correct?” “Correct” “When you store that data in China, Americans who exchange messages or other information with Chinese Facebook users, that would mean the Chinese government could get access to the American data as well, is that correct? “Through the POP servers? Potentially.” “And Facebook was willing to take that risk?” “Yes. There was a lot of discussion about this and ultimately yes.” “I mean, this is, this is extraordinary. This is exactly contrary to what Facebook has represented for years here. They're willing to build data centers, store data in China. They are willing explicitly to give the Chinese government access to it”

Wall Street Apes

80,854 просмотров • 1 год назад