I highly recommend Cedric's writing on the topic (behind a paywall) https://commoncog.com/7-powers-summary/
I highly recommend Cedric's writing on the topic (behind a paywall) https://commoncog.com/7-powers-summary/
USA only | $150K+, equity
Apply here: https://pioneerclimate.com/careers
About: Pioneer's mission is to coordinate the funding for rapid decarbonization. We take the pain out of the government grants application process by using dozens of LLM workflows to reduce the effort required to apply and win government awards, and we’ve helped companies win $160M to date. We have more demand than we can serve, and we’re growing revenue.
Culture: Our core values are kindness, impact, intentionality, initiative, feedback and efficiency in that order, and we implement these throughout our processes.
You: Enjoy the 0-to-1, hungry for growth, actively collaborate and pair with users, can handle the nondeterminism of LLMs, start sentences with “What if…“, enjoy building across the full stack.
Stack: We use TypeScript, React, Next.JS, LangSmith and other modern tools.
> In extensive experiments across all three settings, we find that a diverse collection of state-of-the-art models exhibit significant drop-offs in performance (e.g., up to 36.3% absolute accuracy for OpenAI o1-preview compared to GPT-4o) when using inference-time reasoning compared to zero-shot counterparts.
In other words, the issue they're identifying is that COT is an less effective model for some tasks compared to unmodified chat completion, not just that it slows everything down.
ChatGPT's o1 model could make a lot of those programming techniques less effective, but they may still be around as they are more manageable, and constrained.
Humans are so smart and do so many decisions and calculations on the subconscious/implicit level and take a lot of mental shortcuts, so that as we try to automate this by following exactly what the process is, we bring a lot of the implicit thinking out on the surface, and that slows everything down. So we've had to be creative about how we build LLM workflows.
If a founder is exceptional and all of the other stars necessary for a startup to succeed have aligned, this may be a good approach. But then we are just back to the question YC has always tried to answer: what makes a founder exceptional?
What about the founders who failed _because_ they were in "founder mode"?
I am not sure this article represents the beginning of a paradigm shift like it seems to think it does.
Through fractal management, a visionary leader can have a better chance to ensure that the vision is translated into practice at the various levels of detail.
Fractal management is only part of it, though as it is a technique, but it doesn’t cover the enormous skin in the game founders have about the success of the company. For many founders, the company is their baby(I am projecting here) and they want to make it succeed. Contrastingly, many of the professional fakers instead see it as just a job, and a step on the ladder. Principal/agent. Without genuine care, and cohesive vision, fractal management can quickly devolve into chaos. It is high reward and also higher risk!!! Maybe that’s why only the founders do it but not their VPs. I wonder if any VPs at Airbnb are doing anything remotely similar to what Bryan Chesky is doing as management style? (Honestly I have no idea)
I am sure that many founders failed also because of it as they might have been missing the charisma, clarity and conviction to pull this off.
(PS. Take my ideas with a big serving of salt, I am a founder but not at a large organization, and the article mainly focuses on large orgs)
It is really hard to put in practice because of all the gravitational pull towards mediocrity.
But in my case, the root cause seems to be stress from increased load, and the higher cortisol levels it creates
Apply here: https://usepioneer.com/careers
About: Pioneer's mission is to coordinate the funding for rapid decarbonization. We take the pain out of the government application process by using LLMs to gradually reduce the effort required to identify, qualify, apply, and comply with government awards. We are passionate about climate impact and creating a supportive growth environment based on the fundamentals of Radical Candor. We also have a proven business model and rapidly growing revenue.
Culture: Our core values are kindness, feedback, intentionality, ownership, and impact. We implement these in various creative ways: toms, laps instead of sprints, feedback instead of 1:1, and decision journals! Our newest team member said “Every interaction is “kind”, coming from a good place of respecting each other.”
You: Enjoy the 0-to-1, pre-PMF phase, have an owner mindset, collaborative, have curiosity for technology like LLMs, start sentences with “What if…“, enjoy building across the full stack.
Stack: We use TypeScript, React, Next.JS, and other modern tools.
P.S. We are also hiring for a Founding Operations Lead - apply through the same link as above.
Gemini 2.5 is the first model I tested that was able to solve it and it one-shotted it. I think it's not an exaggeration to say LLMs are now better than 95+% of the population at mathematical reasoning.
For those curious the riddle is: There's three people in a circle. Each person has a positive integer floating above their heads, such that each person can see the other two numbers but not his own. The sum of two of the numbers is equal to the third. The first person is asked for his number, and he says that he doesn't know. The second person is asked for his number, and he says that he doesn't know. The third person is asked for his number, and he says that he doesn't know. Then, the first person is asked for his number again, and he says: 65. What is the product of the three numbers?