So we conjectured that the lack of data was a huge part of the reason that's the lack of progress in AI. So we took a departure from everybody else who are really focusing only on algorithm and said that we need data. we need data to drive these algorithms.
something we learned from YC uh was that the importance of focusing on very concrete easy to explain customer problems. Like it's it's very easy to to hallucinate or to you know imagine some customer problem that's not actually something viscerally felt by a person who would pay money.
So, I um yeah, I think maybe maybe a better way of saying it is 20 20 years ago that whole lean startup thing was uh was almost the only thing to do because of capital available and you didn't have AI that made, I don't know, spinning up an organization with many different potentialities and capabilities so much easier, whereas now I think you can start these much more aggressive and ambitious things up front.
This is why I recommend ignoring the vast web of custom and “community-built” MCP servers you can find out there, and focusing your attention on the two safer bets instead
I'm going to sound old when I say this, but like I one time had a company tell me, "Oh, well, they have to use that CI/CD system." I'm like 20 bucks, they're just spinning up Jenkins. And they were, right?
Uh and its perception is in service to fulfilling that purpose. And that is like a really great uh focusing factor. We know that for people this really matters. Like literally what you see is affected by what you're trying to do.
While the same does not directly apply in other fields, working with others to produce the best results for everyone will be much better in the long-term than focusing solely on what Amazon needs right now.
Even removed my last MCP, since Claude sometimes would go off spinning up Playwright unasked when it could simply read the code - which is faster and pollutes the context less.
However, current understanding and evaluation of world models in artificial intelligence (AI) remains narrow, often focusing on static representations learned from training on massive corpora of data, instead of the efficiency and efficacy in learning these representations through interaction and exploration within a novel environment.
Focusing on these earned channels that you own becomes the utmost priority. And if you don't have them on your growth road map, you're going to be in some really big trouble over the next year to two years because your cost of acquisition is only going to go up.
When joining a new company, your perception is shaped massively in your first 3 months. It takes a lot of work to change that perception later. This book is a practical guide on how to be conscious in focusing on getting up to speed, faster. (My rating: ★★★★★)
What I say in the book is is that you don’t want to remember more, you want to remember better, which means focusing on the things that are important. That’s what our brains are designed to do.
The logical end state of this displacement is not some hybrid grid with around 20% solar backed up by spinning generation, but a much more dynamic, versatile grid with around 200% solar generation and hours to days or weeks of battery storage, fully decoupling time of generation and consumption.
I spoke with @mariamenounos about the link between emotions and illness, and the importance of focusing on mental health, on her Heal Squad podcast. To listen to the full episode, please follow: https://t.co/XPIKAvi8tH
We as a profession misunderstand and misuse the concept of backwards compatibility, both upstream and downstream, by focusing on narrow legalistic definitions instead of outcomes.
The strength of this book is the central role it places on problems. Its aim is to teach you about inequalities, which are the backbone of analysis. But it's all too easy to teach the statement of an inequality without conveying the intuition for when and how you'd use it. By focusing on well-chosen puzzles, this book does an admirable job circumventing that risk and leaving you with the feeling of having trained a skill, rather than having learned a list of facts.
I've DJ'ed since 1988 and I can't stand bad audio. Since my days in nightclubs spinning vinyl, I've sworn by Senheiser headphones. My current (and previous) pair are the Senheiser HD25.
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