Peter Rex

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Peter Rex

Peter Rex

@PeterRex

Empowering: Tech, Real Estate, Investing. Bio at https://t.co/71GoZqTtUF

Austin, TX Katılım Kasım 2016
49 Takip Edilen120.4K Takipçiler
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Peter Rex
Peter Rex@PeterRex·
Friend, pls help us find elite, missionary candidates to hire ASAP for Rex. 🔥 Managing Director, Investments/Growth: 15+yrs, high-bandwidth investment deal maker. 🔥 Chief of Staff: Supporting/catalyzing Peter Rex on all fronts; tax, law, business acumen. 🔥 Tech Biz Dev Talent: 1 player coach 7+yrs experience, 2 players 3+ yrs experience. 🔥 Catalyst Partner/ Technical Advisor: Top 1% hustler, catalyzing Pete; Pete’s Shadow. 🔥 Director, Strategic Initiatives: Particular focus on new opportunities, capital, and media. 🔥 VP, Product Management: Deputy to product head, building/iterating on 10+ products. 🔥 Social Media Chief: Lead all social media, with focus on video production. Additionally, our private equity company, where I’m chairman, seeks: 🔥 PE Leader - Real estate private equity 12+years; expert IR / Portfolio Management. 🔥 Hotel Ops Execs - 10+yrs boutique hotel management; expert digital marketing / events. 🔥 Partner, Capital Growth - 5+yrs introducing/serving UHNW, Family Office investors. Please help spread word. Any leads/intros greatly appreciated. Thanks for helping further our mission to empower people. 🙏 -Pete P.S. We work from home, not in office, but prefer talent to live in the greater Austin area for community reasons. We’re open to talent living in distant areas, depending on the situation.
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Peter Rex
Peter Rex@PeterRex·
Good list. The “top talent already has a job” one is the truth. They’re not on job boards, they already have a job and they’re comfortable. You have to go find them and convince them. And then you have to figure out if they’re truly top talent. The ones worth hiring have aptitude and a certain restlessness to them, you can usually feel it pretty quick in the process.
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Nick Huber
Nick Huber@sweatystartup·
10 important things I've learned about hiring:
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Peter Rex
Peter Rex@PeterRex·
@Codie_Sanchez Going to change some lives for sure. Will be cool to see all the ideas that otherwise wouldn’t become anything, actually produce something real
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Codie Sanchez
Codie Sanchez@Codie_Sanchez·
We're going to witness the biggest small business boom in history. One person with a laptop, an audience of 500 weirdos who care about the same niche thing, and some AI tools now do what used to take a 15-person team and a $200K budget. Even with all the AI doomerism, you can just lock in for the next 2 years and set up your family for a generation.
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Peter Rex
Peter Rex@PeterRex·
@JamesonCamp Excited and very interested to see how good this stuff gets, feel we are still just at the tip of this.
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James Camp 🛠,🛠
James Camp 🛠,🛠@JamesonCamp·
Just canceled ClickFunnels, Circle, Webflow, and Notion in the same month $600+ month in SaaS. Gone Spent probably $20k+ on these tools over the years. Was loyal to all of them Manus builds a better funnel in 20 minutes than what I spent hours dragging and dropping in CF. Better design. Better copy. Actually understands the offer SaaS isn't dead. Most people will use these tools forever But there's a growing group of us in this corner of the internet quietly canceling everything and rebuilding it with AI in an afternoon Kinda wild to mass cancel tools I used to think were essential...
James Camp 🛠,🛠 tweet mediaJames Camp 🛠,🛠 tweet media
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Peter Rex
Peter Rex@PeterRex·
@lukepierceops Definitely, it’s pretty clear we’re at the top of something world changing
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Luke Pierce
Luke Pierce@lukepierceops·
Anthropic and OpenAI are both building PE-backed consulting arms to deploy AI inside companies. Let that sink in for a second. The two companies building the most powerful AI on earth looked at the market and said "businesses can't figure out how to use this. We need to go in and do it for them." They are literally telling you where the gap is. Companies have access to the best AI models ever built. And most of them are still running on spreadsheets, disconnected tools, and manual processes because nobody showed them how to actually implement it. That's the whole game right now. Not building better models (obviously) or shipping new features. IMPLEMENTATION. Getting AI inside real workflows. Mapping the processes, building the systems, and making it stick. I've been doing exactly this for 4 years and have worked with 80+ companies at this point. It started with automation and naturally flowed into Ai. And every single engagement starts the same way. Not with AI or automation but with a process map. Because AI alone won't fix broken operations. Companies now understand that. They have not yet seen true ROI from Ai. You have to understand how the business actually runs before you touch a single tool. Where does the data live? Where are the bottlenecks? What's manual that shouldn't be? What breaks when volume goes up? That's the work, and that's what Anthropic and OpenAI just told the entire market is worth billions. Every company is going AI-first over the next 3-5 years. The demand for people who can actually make that happen is about to be unlike anything we've seen. The labs told you where the gaps are. Now go fill them.
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Peter Rex
Peter Rex@PeterRex·
@slow_developer Automation anxiety is understandable but the alternative isn’t keeping the jobs, it’s potentially losing the company to someone who did automate. Difficult spot
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Haider.
Haider.@slow_developer·
bernie is clearly against automation replacing workers his worry is real, but he can't see the bigger problem that's coming let's say you save amazon jobs for now -- but once other companies use AI, robots, and automation to make things much cheaper, amazon loses its edge and those jobs disappear anyway.
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Peter Rex
Peter Rex@PeterRex·
@heygurisingh This is a really interesting way of promoting, and makes sense. Prob has done it at times without the intention to. Will have to implement this more
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Guri Singh
Guri Singh@heygurisingh·
BREAKING: OpenAI and Anthropic engineers leaked a prompting technique that separates beginners from experts. It's called "Socratic prompting" and it's insanely simple. Instead of telling the AI what to do, you ask it questions. My output quality: 6.2/10 → 9.1/10 Here's how it works:
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Peter Rex
Peter Rex@PeterRex·
@Polymarket It’s a very touchy topic with those stressed about job security so it should be obvious that saying the wrong thing could have some negative impacts on public opinion.
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Polymarket
Polymarket@Polymarket·
JUST IN: Nvidia CEO Jensen Huang calls on tech leaders to "be careful not to scare people" regarding AI.
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Peter Rex
Peter Rex@PeterRex·
@rohanpaul_ai Reverse prompting concept is interesting but the privacy side of this is worth thinking about. Employees having candid conversations in Slack probably aren’t expecting the CEO to be able to ask an AI what they’re saying about company strategy.
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Rohan Paul
Rohan Paul@rohanpaul_ai·
Coinbase CEO, Brian Armstrong: Some great insights on how they are using internally hosted AI Agents. "It’s connected to every Slack message, every Google Doc, and every Salesforce data confluence. Now, this is all linked up and the data is all aggregated, so you can ask these agents questions. Every team is using it—legal, finance, everything. It’s like the "Oracle of Coinbase." I’ve started to ask it things that go beyond just simple prompting, like "Hey, can you write this kind of memo for me?" I’m asking these AI agents now, as CEO, "What should I be aware of in the company that I might not be aware of?" It will tell me, "Did you know that there’s actually disagreement on this team about the strategy?" I realized I didn't know that, but the AI does because it can read every Slack message and every Google Doc. Tobi, who is on my board, calls this "reverse prompting." Instead of telling the AI agent what you want to do, you ask it what you should be thinking more about." --- From @theallinpod YT channel (link in comment)
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Peter Rex
Peter Rex@PeterRex·
@Codie_Sanchez Have seen that personal outreach like this works and most people have moved away from it. That’s exactly why it works even better now.
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Codie Sanchez
Codie Sanchez@Codie_Sanchez·
If you want to make more money, the ROI on “unscalable” work is about to go through the roof. Magic Moments: - Handwritten thank-you notes - Sending flowers (to clients and friends alike) - Calling (not texting) when you need something - Showing up in person when an email would've been fine Costs almost nothing. In a world where every interaction is getting sanded down into a frictionless automated nothing... humanity hits like a defibrillator.
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MATT GRAY
MATT GRAY@matt_gray_·
Most businesses stall because the founder keeps reinventing the direction every 90 days. consistency builds trust and trust compounds revenue.
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Peter Rex
Peter Rex@PeterRex·
@TukiFromKL Could be true. A players will begin to be even more difficult to get and retain
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Tuki
Tuki@TukiFromKL·
the thing nobody wants to admit about AI is that it's not replacing bad workers.. it's replacing average ones.. and most of us are average at most things.
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Peter Rex
Peter Rex@PeterRex·
@ryandeiss The hardest part of delegation is actually letting go when the output isn’t quite exactly how you’d do it, even if it’s getting done well. Most founders struggle there more than anywhere else.
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Ryan Deiss
Ryan Deiss@ryandeiss·
When you delegate, 1 of 3 things happens... THE CRAPPY WORK PROBLEM: > It doesn't get done right > You accept mediocre output because you're too tired to fix it > Quality slowly drops across the board THE TIME SINK PROBLEM: > It takes longer to teach someone than to just do it yourself > So you just do it yourself > And now you're doing everyone's job again THE BOOMERANG PROBLEM: > It's done so badly you spend all your time cleaning up the mess > The work lands right back on your plate the next day > You wonder why you hired anyone at all I used to dread delegating. Hated it. So I built a system where work actually stays delegated: STEP 1: TASK LIST BRAIN DUMP > Write down everything you touch in a typical week > Connect ChatGPT to your calendar and ask "what tasks am I doing on an average week?" STEP 2: THE CRITICAL TASK MATRIX > Plot every task on two axes: Impact (high vs low) and Ability (high vs low) > Flow Zone (high impact, high ability) = keep doing these > Captive Zone (high impact, low ability) = delegate to specialists > Menial Zone (low impact, high ability) = delegate to existing team > Drudgery Zone (low impact, low ability) = stop doing entirely STEP 3: RUN A STOP TEST > Pick one drudgery task and stop doing it for 30 days > 90% of the time, nobody notices STEP 4: DELEGATE MENIAL TASKS > Only delegate to existing team members > Don't hire VAs just to manage VAs STEP 5: DELEGATE CAPTIVE ZONE > Hire specialists who are better than you at that one thing > The work stays delegated because someone better is doing it THE GOAL: > Eliminate captive and drudgery tasks > Spend 90% of your time in the flow zone Repeat this every 90 days.
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Peter Rex
Peter Rex@PeterRex·
@r0ck3t23 Arming everyone vs cutting everyone, those two approaches are going to look very different in 3 years. Nvidia made the right call and most companies are still making the wrong one.
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Dustin
Dustin@r0ck3t23·
Jensen Huang just explained why every company cutting engineers over AI is asking the entirely wrong question. Huang: “People say, I don’t need software engineers because apparently coding is going to be automated.” That was the narrative. Here is what Huang actually did. Huang: “I’ve given AIs to every one of my software engineers and hardware engineers and engineers period. 100% of NVIDIA has AI assistants, AI coders, and they’re busier than ever.” Not fewer engineers. Not smaller teams. Busier than ever. That is the line most companies are getting completely wrong right now. They hear “AI can write code” and immediately start cutting headcount. Huang did the opposite. He armed everyone. Huang: “And so the question is, what is the task versus what is the job? No different than a financial analyst; the task is mess around with spreadsheets, but the job is to make financial advice. The job is to help a customer.” Writing code was always the task. It was never the job. The job is architecture. Knowing what to build. Why it matters. How it fits into a system that actually creates value. Code is the execution layer between the idea and the outcome. Nothing more. When you automate that layer, you don’t eliminate the engineer. You eliminate the bottleneck between what they can envision and what they can ship. The companies using AI to cut headcount are optimizing for cost. The companies using AI to multiply output are optimizing for territory. Nvidia chose territory. Every engineer at the most valuable semiconductor company on Earth now operates with an AI assistant. Not a pilot program. Not an experiment. Company-wide. Every function. Every team. And the result is not less work. It is more work. Faster. At a scale that was physically impossible twelve months ago. The companies that understand the difference between eliminating engineers and unleashing them will build what comes next. The ones that don’t will watch their best talent walk out the door to the ones that did.
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Peter Rex
Peter Rex@PeterRex·
@AravSrinivas It’s anyone doing serious research, strategy, legal work. The heavy token users are going to span every function eventually.
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Aravind Srinivas
Aravind Srinivas@AravSrinivas·
May seem farfetched, but this applies to non-engineers too. There are Perplexity Computer users projected to spend hundreds of thousands of dollars (per user, not the org) on annualized basis.
TFTC@TFTC21

Jensen Huang: "If that $500,000 engineer did not consume at least $250,000 worth of tokens, I am going to be deeply alarmed. This is no different than a chip designer who says 'I'm just going to use paper and pencil. I don't think I'm going to need any CAD tools.'"

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Peter Rex
Peter Rex@PeterRex·
@TFTC21 Half a million dollar engineer not using the tools available is like hiring a contractor who shows up without power tools. Simple as that
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TFTC
TFTC@TFTC21·
Jensen Huang: "If that $500,000 engineer did not consume at least $250,000 worth of tokens, I am going to be deeply alarmed. This is no different than a chip designer who says 'I'm just going to use paper and pencil. I don't think I'm going to need any CAD tools.'"
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Peter Rex
Peter Rex@PeterRex·
Oil and gas, and I love our USA industry, have to evolve their mental model to see the environment no longer as a second order problem, considered after getting the oil, to a first order problem tightly coupled with extraction. I’d go so far as to argue they should see the challenge as not just to leave the environment as it is but to leave it better than before they touched it. That goes for not only the local environment where drilling occurred but also the global environment. Then you will see local and global communities full-hearted embrace their work. And workers too will find even more meaning. This is no longer a suggestion but a necessity. We have no way off oil in the near future (except nuclear which faces political/regulatory headwinds), thus we must optimize the oil and gas industry work now and over the next decades wsj.com/business/energ…
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Peter Rex
Peter Rex@PeterRex·
@spencertbarber Exactly. It’s as simple as people like to keep more of their money, and live in a good place. If you can’t figure out how to offer that, going to be tough
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Spencer Barber
Spencer Barber@spencertbarber·
@PeterRex 100%. There is nothing valuable enough about any specific state that justifies extreme taxation. People will go where they can keep their money and where it is used correctly. If a state cracks down on fraud and gives great public services, plenty of people will move there.
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Josh Kale
Josh Kale@JoshKale·
A Chinese AI lab just quietly released a model that trained itself to improve by 30% 🤯 The @MiniMax_AI team gave M2.7 access to its own training infrastructure. Its own reinforcement learning pipeline. Its own memory. Then they told it to make itself better. And it did... M2.7 built dozens of complex skills inside its own RL harness. It updated its own memory systems. It optimized its own reinforcement learning process based on results it was evaluating in real time. It ran this loop autonomously for over 100 rounds, analyzing failure trajectories, modifying its own scaffold code, running evaluations, comparing results, and deciding what to keep or revert. No human in the loop. Just the model improving the model. The result: - 30% performance improvement on internal evals - 66.6% medal rate on ML competitions (This ties it with Gemini 3.1. SWE-Pro scores while nearly matching Claude Opus) MiniMax already runs 30% of its entire company operations autonomously on its own models. 80% of newly committed code at the company is AI-generated. They're literally shipping self improvement as organizational infra and the Honk Kong stock market LOVES it. This is the early stages of recursive self-improvement. And it's coming from Shanghai.
Josh Kale tweet mediaJosh Kale tweet mediaJosh Kale tweet media
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Peter Rex
Peter Rex@PeterRex·
@sharran Exactly. I always say it’s better to nail one thing than try to do everything all at once.
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Sharran Srivatsaa
Sharran Srivatsaa@sharran·
You can build an entire career from your laptop now. That doesn’t mean you should try to do everything at once. The internet rewards people who pick one problem, study it deeply, and talk about it publicly for years while everyone else gets bored.
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