the jev release is giving react major version drop vibes. just a massive crashing wave, everyone rethinking fundamental stuff and thinking through the implications of a novel new primitive.
there is evidence that the reversal effect has weakened over time, leaving investors who bet on mean reversion and a return to fundamentals in the lurch
Evan Prodromou has the unenviable task of making the whole ecosystem easy to understand. Thankfully he does that well. Things are logically laid out, there are comprehensive descriptions of even the most obscure parts of the spec, and it builds up nicely from the fundamentals.
He ruled out all the actual, measurable variables because they were an imperfect explanation, and instead offers a vague, diffuse variable, for which he has no measure, and which is not actually included in his model.
Paradigms of Artificial Intelligence Programming by Peter Norvig. Learning the AI described in this book probably won't land you a job today. But reading the code examples will transform how you think about source code. The book shines when it comes to code comments, a topic that I've never seen demonstrated well in other sources. Here we get to see how comments become valuable as a narrative that explains both intent and reasoning. Brilliant, just brilliant.
And there was no food or you know olive oil or food group or you eating more or less meat that changed the relationship between the Mediterranean diet and dementia risk. So what that tells me is it's much more about whole foods.
I think context engineering has been so long lived because it's it's grounded in the fundamentals of how transformer attention works and until we have post transformer models or linear attention or whatever it is which who knows when that's going to happen context engineering will be interesting and important to anyone building on AI
We can we can teach we can teach somebody, I think, to be a really good AI developer in a few months. You can build enough intuition where you are, you know, accelerated off the ground and you can go like keep growing there. It's really hard to teach someone a CS undergrad program in in 3 months.
So I'm looking at this like guys the fundamentals of this isn't like everything is going to change because of MCP. What the hell? A whole conference guys? This is just API design.
Melissa Perri explains how laying the foundation for great product management can help companies solve real customer problems while achieving business goals. By understanding how to communicate and collaborate within a company structure, you can create a product culture that benefits both the business and the customer.
This book gave me both insight and a deeper curiosity about the subject. This book introduces the SPIN model checker and exposes the reader to the nuances of verifying programs using SPIN. A nice feature of the book is how it explains concepts using thoughtfully developed, freely available tools (such as jSpin) that the author created for pedagogical purposes. It's a demanding book, but the content was interesting. The book presents details about concurrency, temporal logic, non-determinism, advanced SPIN topics, and even case studies. I've already written a few blog posts about the topics I explored while reading this book, and I plan to write more. Overall, it's a good book. I'm sure I'll revisit the latter half again.
There is no secret insight that frontier AI companies have which explains why people who work there are so bullish about AI capabilities improving rapidly in the next few years.
But what’s not really been addressed before is why that happened, why the Gulf Stream was cut, why a sudden pulse of meltwater went into the world ocean, and it was so much of it and it was so cold that it actually stopped the Gulf Stream in its tracks. And that’s where the Younger Dryas impact hypothesis offers a very elegant and very satisfactory solution to the problem.
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