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Using OpenAI gpt-realtime-2 to get a glimpse of future voice-first experiences. A market dashboard you don’t click through. You direct it. Say, “Focus on Apple,” and the whole interface changes. Ask, “How did it do over the last 30 days?” and the chart updates. Say, “Go back,” and the...

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we all dream of those big wins in life the 100x, the multi-million dollar trade, or even just 10x of what you started with in 7 days i’ve been fortunate enough to experience a few of those over the past few years, and the reality is when you do win big, it doesn’t feel like it at all it hits for a split second, and then your brain just normalizes it it's a part of how to get there in the first place, but makes it a lot easier to lose it if you don't have the right guardrails in place and in that exact moment, you being even keeled doesn’t mean the number in front of you isn’t life changing it is this is where you have to slow down a bit, breathe, settle your mind don’t just roll it into some bullshit take some off the table, step away for a few days if you have to, funny enough, blowing let's say 10k of it on a beautiful trip to tokyo will save you so much because once you actually process what just happened, your future self will thank you for it the truth is, even if you think you’re going for a certain number, the moment you hit it, you’ll want more and more, and more anyone who's been in the same position will tell you the exact same thing ironically the people that win are addicted to winning and if you ask the same people in a year after that big win, what they regret and where are they proud of themselves? they will tell you they regretted rolling it over and giving some/all back or they are proud for switching back on the switch all of this is real, but it’s also exactly how i imagined it would feel years ago before it ever happened manifest your life, the feeling not just the number everything happens twice, first in your mind, then in reality

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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."

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