Searching for strong, intelligent, driven and like minded brothers in this world. We will protect our future, with our very own hands. FIGHT ! FIGHT ! FIGHT !
Old Wudan Mountains
Joined October 2022
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We wont have an LLM that can provide working instructions on to build a $100M company or solve problems that come in the way of building a $100M company by the end of 2026.
LLMs will reach nowhere significant by the end of 2026. They will remain non useful for real world tasks-planning-problemsolving
Interesting.
I wanna be employed nd not die...
Four hours huh.
Four hours --> 8 --> 16 -->-->32--->64
7x4=28 months = 2 years 4 months.
LLMs are roughly doubling the length of tasks they can complete every seven months
at both 50% and 80% success.
recently, OpenAI says its unreleased internal models can handle about four hours of continuous work
and sam also expects Codex to move from handling multi-hour jobs to multi-day ones next year
😂
Yo @Cobratate
I see you’ve got the same sparring partner I had for the DeMoor fight.
Hit me up - I’m fighting on the same event… we could get some rounds in together.
You’re a huge inspiration, so if I could, I’d really like to help you.
Master 𝘅 retweeted
Elon was a good student, but not a superstar.
When he was 9 and 10, he got A’s in English and Math. "He is quick to grasp new mathematical concepts," his teacher noted.
But there was a constant refrain in the report card comments:
"He works extremely slowly, either because he dreams or is doing what he should not. He seldom finishes anything. Next year he must concentrate on his work and not daydream during class. His compositions show a lively imagination, but he doesn’t always finish in time."
His average grade before he got to high school was 83 out of 100.
Master 𝘅 retweeted
Some advice I wish someone told me when I had my first huge day, don’t tell anyone. Don’t buy a new car or a watch! Don’t buy a new house. Wait 1 yr before you do anything. Put enough away for your taxes and do NOT size up just because you can.
Take it easy. This is a marathon not a sprint.
It isn’t about what you make, it’s about how you keep it and grow it.
Of course, we all think we are the exception to the rule, especially after a huge run. However-you are not the exception. Neither was I!!
You are thinking small.
Think big.
My AI investment thesis is that every AI application startup is likely to be crushed by rapid expansion of the foundational model providers.
App functionality will be added to the foundational models' offerings, because the big players aren't slow incumbents (it is wrong to apply the analogy of "fast startup, slow incumbent" here), they are just big. Far more so than with any other prior new technology, there is a massive and fast-moving wave that obsoletes every new app almost as fast as it can be invented. There is almost no time to build a company and scale it.
There are two ways AI application startup founders can make money:
- Make a flash-in-the-pan app that generates a ton of cash and bank the cash (my estimate is that you have about 12-18 months cashflow generation)
- Make a good enough app that you get acquired by one of the big players for sufficient equity
The situation is highly unstable - we don't know if it's going to crash or go to the moon but both scenarios make it very unlikely that any AI application startup will independently become a generational supercompany (baseline odds are low to begin with).
The best odds are finding an application niche in a highly specialized field with extremely unique and specific data barriers, ideally ones relating to real atoms (hardware or world-related) data and not software/finance.
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