Andreas Larsen

551 posts

Andreas Larsen

Andreas Larsen

@andreaslar2

Art, Philosophy, Business – preferably all at once.

Katılım Aralık 2024
199 Takip Edilen35 Takipçiler
Andreas Larsen retweetledi
staysaasy
staysaasy@staysaasy·
It's not just that some people are 5-10x more productive than others. It's also that the exact same people literally attempt to do 5-10x more things, and those things are 5-10x more ambitious. There is such a thing as a 1000x knowledge worker b/c the median is quite low
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Andreas Larsen
Andreas Larsen@andreaslar2·
If you have any decomposition (accurate abstract thinking) skill whatsoever you will hate Paperclip. If you have accurate world models in fields with 80/20 outcome distribution you will hate Paperclip even more. Roles don’t exist. Only the task exists. Roles are just bundles of tasks. The alpha’s in what tasks you do and how you do them – and the optimal task definition exists on varying logical levels depending on what you do. So spend time picking the right task definitions at the right logical (abstraction) levels FIRST. The way you do this is you manage decomposition yourself – bottlenecked by your own world models – and you automate the top 0.01 percentile frameworks at all the important logical levels you’re working in, deterministically by giving your AI tools to build workflows where it’s not limited by context. That’s how you automate top 0.01 percentile execution. What these two in the video are doing is automating the median – which feels nice to then but is useless at the edge of performance. Don’t fucking start at the top with Roles and hope your little AGENTS.md file and skill files decomposition a vague «goal» perfectly into top 0.01 percentile task definitions at the MULTIPLE critical logical levels all the way down. Frontier models don’t even come close to doing that correctly. (Btw, by the time the frontier models can manage the entire decomposition – which is the premise Paperclip is built upon – all alpha is gone anyways, because we’ll be *entirely* useless, and Paperclip will definitely not be valuable.)
Andrew Warner@AndrewWarner

"I really don't want to manage an AI team." @cathrynlavery found a solution: Paperclip, the open-source project What she showed me: • Paperclip leads her agents using its project management setup • Humans on her team use it to assign tasks to agents • Agents delegate tasks to humans or other agents • Paperclip turns your goals into agent tasks • It turns an SEO audit doc (for example) into agent tasks • It organizes OpenClaw agents OR even creates its own agents Also: fast-forward to 9min25sec to see a 3-minute Paperclip setup. (YouTube version in first comment.)

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Rohan Paul
Rohan Paul@rohanpaul_ai·
New Andrej Karpathy interview: "To get the most out of the tools that have become available now, you have to remove yourself as the bottleneck. You cannot be there to prompt the next thing. You need to take yourself outside the loop. You have to arrange things such that they are completely autonomous. The more you can maximize your token throughput and not be in the loop, the better. This is the goal. So, I kind of mentioned that the name of the game now is to increase your leverage. I put in very few tokens just once in a while, and a huge amount of stuff happens on my behalf." --- From @NoPriorsPod YT channel (link in comment)
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Chris Orlob
Chris Orlob@Chris_Orlob·
Weak sales managers manage calls. Average sales managers manage deals. Good sales managers manage forecasts. Great sales managers manage their people's skills & capabilities. Because they know one thing: Revenue is an outcome that expert-skilled sellers produce. Skill management = proactive management.
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Andreas Larsen
Andreas Larsen@andreaslar2·
Automating workflows in fields with ~80/20 outcome distribution is amazing. A shitty 5-min automation outperforms an 80h automation. Because the 80h person knows nothing. And the 5-min person has accurate world models. The «alpha» is in world modeling. Has been since forever
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Ava
Ava@noampomsky·
The lowest agency person you know: "Well, maybe everything will just work itself out without me having to confront anything that makes me uncomfortable."
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Mark Cuban
Mark Cuban@mcuban·
I’m going to tell you how much worse it was at the start of the PC Revolution for white collar workers trying to adapt, vs today with AI Today, presumably every white collar worker has access to a smart phone and/or a PC/laptop. Back then, a PC cost $4,995 , an off brand was $3,995. 5k in 1984 is about $16k today. It was really expensive. The only reason I could learn how to code and support software is because my job let me take home a PC to learn. By reading the software manual. Literally. RTFM. Or pay to go to training. Classes that started at hundreds of dollars then. It was expensive. It absolutely limited who could get ahead. Today, ANYONE can go to their browser, to the AI LLM website of their choice, and type in the words “I’m a novice with zero computer background, teach me how to create an agent that reads my email and …” That concept applies to LEARNING ANYTHING Think about what this means. Any employee of any company can say “ I need to learn how to xyz for my job , which is to do the following: Tell me what more information do you need to help me be more efficient, productive and promotable”. Or “ what new skills can you teach me that will help me reduce my chances of getting laid off “. Or “what suggestions do you have for me to communicate to my boss, who I barely know, to help my chances of staying employed “ These aren’t great prompts. But they are a start that anyone can take. Think about how incredible that is. Back in the day was so much harder for white collar workers. It was harder for new grads because unless they took comp sci, they probably had never used a PC. Big Companies are going to cut jobs. No question about it. Small companies is are going to need more and more AI literate thinkers who can help them compete or get an edge What I tell every entrepreneur, and it’s more crucial today. “ when you run with the elephants there are the quick and the dead. Adopt tech quickly , you can out maneuver big companies. “
Mark Cuban@mcuban

An article from the 90s explaining how in the 1980s, personal computers changed the dynamic of college vs high school workers. College grads learned how to use PCs and grew wages faster Mind you, this was when interest rates were 15pct, white collar unemployment was the highest it’s been any non covid year, general unemployment was 10pct, there was a recession, 18pct mortgages, and the start of the savings and loan industry collapse. The economy was a mess. Except it was the start of the “digital revolution “ which lead to change. Here we are at the early days of the AI revolution. I think it will be very analogous to what happened back then. If you think learning how to use Clause seems daunting, imagine being 50 yrs old in 1983, not knowing how to type, using a 1.0 key adding machine with a tape roll to do all your work as an analyst and realizing you had to figure out how your brand new IBM PC and lotus 1-2-3 worked. Or having only used a typewriter your entire career , then having to learn the new PC and WordStar. Trust me. WordStar key combinations were far harder to learn than telling Claude what you want done Lots of people couldn’t figure it out. Those who did were more productive Ctrl QA with AI nber.org/digest/sep97/h…

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Andreas Larsen
Andreas Larsen@andreaslar2·
There has been no systematic progress over the past 30 years in *human brain evolution* To make startups more successful they need to make different choices. 99.99% of founders have not been exposed to the right understanding of the world – and fall back on human 80/20. But there are subsets that have had MASSIVE systematic progress; they have been FORCED to make different decisions. The post below is a demonstration of this mistake in attribution and world-modeling. Which is ironic.
Patrick OShaughnessy@patrick_oshag

A crazy image

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Dr Singularity
Dr Singularity@Dr_Singularity·
Abundance is coming. First in bits, then in atoms.
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Ayman Al-Abdullah 🧱
Ayman Al-Abdullah 🧱@aymanalabdul·
Operators get tired Owners get rich
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Andreas Larsen
Andreas Larsen@andreaslar2·
How to be mediocre: Build automations based on roles and max-N-review loops only. Same reason Paperclip is dog shit. And why Polsia regresses towards the mean the longer it works. If you’re actually good (top 0.01% or better) at what you do, you automate very differently. The atomic unit is the task, not the role. But role-based automation gets more hype from the bottom 99.99%.
Alex Finn@AlexFinn

Maybe the sickest OpenClaw use case I've ever built I now have my own R&D department Twice a day 5 different AI models autonomously meet and discuss my business They take a look at my products/content and debate eachother and come up with next steps to grow revenue They then send me a memo that describes all their discussions and next action steps I need to take It's been WILDLY helpful. Especially in developing my new product This is how you use super intelligence to autonomously earn you money Here's how to set it up: 1. Go to OpenClaw 2. Ask it to set up a dashboard for an R&D council (5 different AI models) 3. Have them meet at 9am and 5pm every day 4. Give them access to all your links, code, and anything you're working on 5. Have one of them (rotating) come up with a new idea 6. Have all 5 debate 7. Build a report based on their discussions Now twice a day you'll get a ping with a detailed memo describing how to grow your business Next steps is making all of these 5 models local so they can run for free and do this around the clock If you implement workflows like this, I promise your life will change

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Elon Musk
Elon Musk@elonmusk·
Most CEOs have no idea what’s really going on
David Senra@davidsenra

IBM built a cloud of suits to make sure the CEO never talked to anyone actually doing the work. @elonmusk does the opposite. "Elon's method is extreme focus on substance. Extreme focus on getting to the truth. In any organization with multiple layers, there's compounding lies. Each layer wants to look good. Each layer puts a little spin on things. If one layer lies to the next layer above it, maybe that's okay. When that happens two or three times, the lies compound. If that happens six times, the lies really compound. If that happens 12 times, the CEO has no idea what's happening. That was IBM. By the time I got there as an intern, I calculated there were 12 layers of management between me and the CEO. They even had a term for it: the great cloud. A cloud of men in gray business suits who followed the CEO around and prevented him from ever talking to anybody who was actually doing the work. When he would come to visit, it was like a visit from the king. A completely impervious bubble. That's the polar opposite of the Elon approach." — @pmarca

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