It's nonfalsifiable. People will settle on the simplest observation:
it happened under Biden
It's nonfalsifiable. People will settle on the simplest observation:
it happened under Biden
> I estimate that 90% of the time was spent thinking about the product, directing the AI, and testing
In other words 90% of the time was spent in the proompt-test-proompt loop. Not ideation and exploration.
> they didnt specifically mean they built a wordle clone, just a game like it. if they wanted just a wordle clone, they wouldve gotten one within a few minutes of using codegen tools.
If you really believe that I'm not sure what to say other than: have you tried to use an AI to make a full wordle clone? (not just the checking logic, or rendering - the entire thing)
they didnt specifically mean they built a wordle clone, just a game like it. if they wanted just a wordle clone, they wouldve gotten one within a few minutes of using codegen tools.
I used to argue in reddit (same username as my HN) basically calling Musk a fraud and Gwynne Shotwell being all the brains 6 years ago, but I've since changed my position after seeing engineers in spaceX give props to Musk at podcasts, twitter, and various interviews.
Currently using a theme from here https://jekyll-themes.com/free
When I'm travelling I could just edit the markdown/upload photos on the phone browser
Also it looks more casual and authentic, less LLM generated
Charlie (and Buffett) are often recommended here for their mental models as their approach to investing and finance are very transferrable in startups/engineering. At the end of the day, large scale software engineering is mostly about managing risk, strategy, and corporate finance/value. Often, Poor Charlie's Almanack is recommended by my top Staff+ colleagues.
Most of their job is about people, leverage, and execution. It's not a sit and think job, it's mostly 1:1s and coalition-building
Theyre also utilizing LLMs to augment themselves. And are getting more data, from off-record convos to reports from trusted smart colleagues who used an LLM to refine their intel