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We’re testing something that I’m very excited about - giving users literal control of the algorithm, using just the English language. You can write, iterate, tune and schedule your own unique playlist algorithm by writing a prompt, using any world information as well as all your own play history...

22,883 views • 6 months ago •via X (Twitter)

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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 views • 4 months ago

"X is a shit show" "X is for Nazis" "X is all about Elon Musk" "X is too noisy" "X's algorithm sucks" How many of you have heard stuff like that? I do, especially when I go to other social media sites, like Threads, which just passed X in total users. I find attitudes like that uninformed, but what stopped an uninformed person from writing something on the Internet? Nothing. But since I jumped over to Threads today and got another eye full of that kind of stuff. So I mostly wanted to say thank you to the community of tens of thousands of people in tech that I follow, and show you what my screens look like today. If you turn on audio on the video here, you'll hear me talk through each of my lists. I use X Pro and lists. And by using them I find even my For You feed gets better. Much better, in fact. Why? Because if you engage on the REAL X, which you can only see on X Pro with lists, the algorithm figures out the kinds of things that catch your eye and looks for more. Also, by following lists you give the algorithm VERY IMPORTANT signal and a lot more things to choose from. Even if you just follow my feeds and never use them, your For You feed will get better BECAUSE you gave the algorithm more signal about what you want to see. If I see a brilliant person, or a new company, I put them on my lists. If I see someone go political all the time I remove them from my lists, or, maybe put them on my news lists if they are posting an interesting point of view that I would want to watch over time. These are the most complete lists in tech industry here on X, by far. I read through a LOT of lists: https:// ts And here is how I have my lists laid out in X Pro. If you are in the AI industry and you aren't following all my AI lists you are hurting yourself and ignoring many thousands of hours of work I've put into them over 18 years of being here on this service. I can only do this on X. The companies, for instance, aren't on the other services, and the AI research and development community here is stronger and more educational than they are on other services. And, because of Grok integration here, X is a far better learning platform. If I see a scientist sharing something I don't understand I click the Grok button and it teaches me a lot more. Thank you. And, yes, there are many other "X's" that I don't see. Sports, being one. I focus only on tech and educated people and my lists show that X is the best place for science, technology, and nerdy news. One last thing: the algorithm will, in about a month, radically change to be totally AI driven. When that happens X will radically change and lists will become even more important as a source of signal. If you want a better X, here's the key. Love!

Robert Scoble

43,712 views • 9 months ago

Larry Ellison: “Overachievers are not driven by the pursuit of success but the fear of failure” “We human beings are endlessly curious about ourselves.” Oracle founder Larry Ellison begins. “We love to test ourselves constantly, and we find all sorts of arenas to test ourselves in. Right now, I have the fastest racing sailboat in the world . . . and I’m discovering all sorts of things about me as I race that boat. I discover all sorts of things about me every day as Oracle competes with Microsoft for supremacy in the software world.” This reminds Ellison of the saying: “I climbed the mountain because it was there.” “That is utter nonsense,” He argues. “You climb the mountain because you were there and you were curious if you could do it. You wondered what it would be like. You wondered what the view was from the top. That’s how we explore. The thing that we’re most interested in is exploring our own limits and exploring our relationship with others. We’re much more interested in each other and ourself than we are in anything else. I think there are two things that are important in life: self-discovery (learning about yourself) and your relationship with others. And I spend my entire life in those two areas.” Ellison continues: “We’re constantly testing ourselves. We’re trying to understand our own level of competency and our ability to control our own world — our ability to put ourselves at risk and then save our own lives . . . I think most overachievers are driven not so much by the pursuit of success, but by the fear of failure. Unless failure gets very close and very nearby, that fear doesn’t reach profound levels, but it drives us. It drives me. It drives me to work very hard. It drives me to make sure that my life is orderly — that I’m in control of my company or in control of the airplane or boat or what have you so that I’m not at risk of failure. And whenever I feel even remotely close to being at risk of failure, I can’t stop working.”

Startup Archive

31,437 views • 18 days ago

Larry Ellison: “Overachievers are not driven by the pursuit of success but the fear of failure” “We human beings are endlessly curious about ourselves.” Oracle founder Larry Ellison begins. “We love to test ourselves constantly, and we find all sorts of arenas to test ourselves in. Right now, I have the fastest racing sailboat in the world . . . and I’m discovering all sorts of things about me as I race that boat. I discover all sorts of things about me every day as Oracle competes with Microsoft for supremacy in the software world.” This reminds Ellison of the saying: “I climbed the mountain because it was there.” “That is utter nonsense,” He argues. “You climb the mountain because you were there and you were curious if you could do it. You wondered what it would be like. You wondered what the view was from the top. That’s how we explore. The thing that we’re most interested in is exploring our own limits and exploring our relationship with others. We’re much more interested in each other and ourself than we are in anything else. I think there are two things that are important in life: self-discovery (learning about yourself) and your relationship with others. And I spend my entire life in those two areas.” Ellison continues: “We’re constantly testing ourselves. We’re trying to understand our own level of competency and our ability to control our own world — our ability to put ourselves at risk and then save our own lives . . . I think most overachievers are driven not so much by the pursuit of success, but by the fear of failure. Unless failure gets very close and very nearby, that fear doesn’t reach profound levels, but it drives us. It drives me. It drives me to work very hard. It drives me to make sure that my life is orderly — that I’m in control of my company or in control of the airplane or boat or what have you so that I’m not at risk of failure. And whenever I feel even remotely close to being at risk of failure, I can’t stop working.”

Startup Archive

37,760 views • 7 months ago

Zack Snyder on his dyslexia: "It was a challenge for me when I was, you know, young in school, and all I wanted to do was make movies because that was the thing that I got great pleasure from and reward from. I love books, and I'm an avid reader, but I just have a hard time because of the way that I perceive. "I've had a great sort of - one side of me anyways - was really satisfied by art and drawing and sculpture and sort of visual expression. And I think that that started to, you know, was the thing that kind of made me feel un-frustrated. And also the way the system was designed, sort of not to support me when I was in high school at that time. "It was very difficult, you know, there was a lot of, you know, just, difficulty. My English teacher in high school was worried about what my career would be, and I'm like. He would be happy to know that I'm in the Writers Guild of America now. "But, I think that that all those things are, they're all... you can transcend all those things with perseverance and with interest and with with help. And I think that that's an important part of it. "And I just think I've had to adapt, and sort of... I have my own style of the way I write, I write all, you know, but I'm pretty prolific. And I love- I listen to tons of audio books on tape, unabridged hours and hours and hours. That's all I do when I'm driving in the car or wherever I'm doing. And it's helped me a lot. "And yeah, I mean, I just hope that anyone who is- feels trapped or frustrated by the world in general. You know, they need to just, I think that we all have like a magic spark, and you need to just find the thing that makes you, you know, inspires you and, and gets you excited and pursue it as hard as you can find your passion in the world. That's a, that's a great motivator."

Zack Snyder Film

11,128 views • 6 months ago

TUCKER CARLSON: “How can world governments kill more than 10 million people and leave some large undetermined number disabled for life? And not say a word about it. Not apologize. Not work to fix it. Not work to make the families whole. I mean, just leave it by the side of the road like a corpse and keep marching. I don’t understand that. How can that happen? STEVE KIRSCH: “Believe me, I’m surprised, as well. You know, I can’t get an audience with anybody in the United States Congress. Except for Senator Ron Johnson. Like, I can’t have a dialogue. They won’t talk to me. Nobody wants to know. They don’t want to know the truth. It’s like autism in this country. You know, autism has been around for a very long time. And we’ve known from the statistics that vaccines cause autism. It’s the leading cause of autism. Now, can we even get a discussion about that?” TUCKER CARLSON: “May I? May I ask you to pause that? I mean, the statement you just made is verboten. I mean, no person who wanted to say work at the Atlantic magazine or who takes the New York Times on a daily basis would ever say something like that because you’re not allowed to say that. Tell us why you say that?” STEVE KIRSCH: “Because it’s true. I’ve collected my own data just independently, to look at, at the connection between vaccines and autism. And it’s amazing. I had over 10,000 parents, tell me about their kids. And I said, hey, tell me about your kids. Tell me how many vaccines they got, and tell me if they have autism. Tell me if they have ADHD. You know, just tell me about your kids. Tell me about the medical conditions. And tell me about how many shots they get. And it’s a straight line. The more shots you get, the more likely you are to get autism. And it’s the same thing for ADHD. It’s the same thing for PANDAS. It’s the same thing for autoimmune diseases. I mean that it is basically the more shots you get, the less healthy the kids are.”

The Vigilant Fox 🦊

1,623,824 views • 2 years ago

At the BNB Chain hackathon, CZ 🔶 BNB made several very important points about AI trading (Everything in parentheses is my own view and judgment.) He first said that AI will be involved in trading everywhere. Trading itself is already a huge market: there are 300 million users on Binance alone, and if you add the decentralized ecosystems, that number is not small either. In such a mass-market environment, many different trading strategies can work, with countless different coins, different projects, and different ways to play. But there is a big problem here: building commercial AI trading platforms for retail users is actually very hard. If a trading strategy works very well for one person, once a billion people start using the same strategy, that strategy “might still work, or might stop working.” Take copy trading / follow trading as an example: if you buy first and everyone follows you, the first buyer will perform very well, but the last person to follow may not end up with good results. So, with the exact same strategy and the exact same copy logic, the outcomes can be completely different for different people. (On top of that, every strategy also has its own capital capacity limits.) Teams that can really build strong AI are, with high probability, going to trade with their own money. In today’s world, money itself is already somewhat like a “commodity”; many people have a lot of capital, and it’s actually not that hard to raise funds. If you truly have an algorithm that can make a lot of money, it’s not hard to get money and run your own book. There is really only one situation where you would sell this algorithm to mass-market users: for example, if you charge a $10 monthly subscription and can sell it to one million users, then your $10 million monthly subscription revenue is higher than the profit you could make by trading the strategy yourself. (Here this touches one of our earlier theses: as training AI models becomes relatively easier and the supply of models increases, model companies have more incentive to open-source. By analogy, as the production process of trading strategies is increasingly simplified by AI and the supply of strategies explodes, traders will have stronger incentives to monetize by expanding their influence in other words, by “open-sourcing” their strategies.) Of course, CZ did not say that this model can never work. Another path is to build an AI trading platform that lets users tune different AI algorithms, or very easily assemble their own structures and strategies, so that what each person ends up running is different and better tailored to themselves. Some people will make money, some people will lose money, but the platform still has value because it’s very hard for most people to build an AI trading algorithm from scratch. So there are a lot of trade-offs here; it’s not as simple as saying “once AI shows up, everything automatically gets better.” (This is exactly what we presented at the hackathon: you describe your own strategy in natural language, and the AI automatically generates a workflow. The parameters in that workflow, the models used, the logical structure, the APIs it calls, and even the algorithms it invokes are all customizable. The reasons we think workflows are a good way to do this include: controllable execution paths, Lego-like modular nodes, and better visualization that makes it easier for users to build and adjust their workflows.) Finally, his conclusion was very clear: it’s not that AI will definitely make trading better, and it’s not that AI will definitely make things worse. Rather, no matter what, in the future a huge number of people will use AI to trade. This will be a very large field, and whoever can build the best algorithms will make a lot of money.

Tykoo

25,535 views • 7 months ago