A durable solution to the Iran problem is pretty easy:
1) Form the American Persian Energy Company (APEC)
2) Give 25% to Exxon and Chevron, who will capitalize it and provide expertise
3) Ground invasion of Iran, but only with volunteer troops who will be compensated with APEC stock
4) US military provides air cover and logistical support
5) Defecting Iranian generals will also be compensated with a quantity of APEC stock dependent on their rank and the number of soldiers they bring with them
6) All oil and gas rights in Iran are granted to the APEC
7) New $2 trillion American company is created out of thin air
8) Iran temporarily governed by APEC CEO while a transition to a suitable civilian government is negotiated
@AnthropicAI@claudeai@alexalbert__
Our entire https://t.co/IpnYg7ZFgg organizational workspace was abruptly suspended for 'suspicious signals' - a clear automated false positive. As the CEO of https://t.co/IpnYg7ZFgg, our team relies on Claude for daily critical workflows.
The only way to appeal and access our locked data is by filling out a basic Google Form with zero transparency? Very bad UX and customer service.
Legitimate businesses cannot operate on infrastructure that rug-pulls access without warning or human review. We need a manual review immediately.
Sam Altman predicted in 2024 that a one-person billion-dollar company "would have been unimaginable without A.I., and now it will happen."
He just emailed the NYT saying he won a bet with tech CEO friends over when it would arrive, and that he "would like to meet the guy."
The guy: Matthew Gallagher, 41. Spent $20K and two months building a GLP-1 weight-loss telehealth company out of his living room in LA.
The stack: ChatGPT, Claude, and Grok writing code. Midjourney for images. Runway for video ads. ElevenLabs handling customer calls. Custom AI agents stitching it all together.
$401M revenue in year one. On track for $1.8B this year.
"Take up one idea. Make that one idea your life—think of it, dream of it, live on that idea. Let the brain, muscles, nerves, every part of your body, be full of that idea, and just leave every other idea alone. This is the way to success"
- Swami Vivekananda
@bowtiedbrosef You don't need to be technical - AI is lowering that barrier fast.
Go as far as you can see. When you get there, you'll see farther.
Alternatively - find other market gaps you care about, or buy an existing business.
@bowtiedbrosef
Don't think of LLMs as entities but as simulators. For example, when exploring a topic, don't ask:
"What do you think about xyz"?
There is no "you". Next time try:
"What would be a good group of people to explore xyz? What would they say?"
The LLM can channel/simulate many perspectives but it hasn't "thought about" xyz for a while and over time and formed its own opinions in the way we're used to. If you force it via the use of "you", it will give you something by adopting a personality embedding vector implied by the statistics of its finetuning data and then simulate that. It's fine to do, but there is a lot less mystique to it than I find people naively attribute to "asking an AI".
Having a good sense of model trajectory is definitely an important skill for anyone doing AI product management or engineering.
You have to have a good understanding of (1) what things are worth building scaffolding for to mitigate model gaps, (2) what things you entirely give to the model to own, and (3) what things are in category 1 but quickly on their way to category 2.
Getting confused about these categories can lead to a lot of wasted effort or misallocated energy, and you won’t be in a position to take advantage of model improvements as they come.
But the most important thing is just being willing to throw away what you have the moment the model can solve it natively. Anything you’re building that doesn’t lead to a better customer experience is a waste of time.