TLDR (Generated)
The “McDonald’s Theory” suggests that pitching a deliberately bad idea is the fastest way to overcome creative blocks and inspire a team to come up with better solutions.
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The “McDonald’s Theory” suggests that pitching a deliberately bad idea is the fastest way to overcome creative blocks and inspire a team to come up with better solutions.
-->I forked github.com/gijsdev/ublock-hide-yt-shorts, did some cleanup and added a few more filters to hide all YouTube Shorts.
I will maintain this fork in the future.
I stumbled upon this quite bonkers article about building a web search engine from scratch as a solo developer with relatively modest resources, i absolutely can recommend reading it:
Building a web search engine from scratch in two months with 3 billion neural embeddings
-->This is a super cool leaderboard for lossless text compression via NLP (and yes, that includes AI)! The top solution manages to compress the first GB of the English Wikipedia to a whopping 10.7% of its original size, including the compression program itself!
-->This is a article that explores the capabilities of OpenAI’s o3 model. HN
The impacts of AI reasoning are getting closer and closer to surpassing human capabilities.
But running it to solve a problem is extremely expensive.
I stumbled on HN over this very interesting article about a new kind of context memory system that, is able to remove information that is “unhelpful or redundant details”.
Thinking further, i think this would be super helpful for semantic search, that is currently not very performant due to the missing filters that extract importance. I have tried to counter this problem until now via summarization through small LLMs, but as one might guess turns out as not very precise and super expensive. There are other ideas one could post process text with LLMs but they are not very efficient either.
-->I want to share this great article about generic coding in Go: https://bitfieldconsulting.com/posts/constraints
Also Go Proverbs is quite nice!
Ohh and this Blog has now footnotes and popups for footnotes! 1
In this tutorial, John Arundel explores constraints in Go, the paradoxical feature of generics that simultaneously limits and expands possibilities. By delving into method sets, type elements, unions, intersections, and approximations, he demonstrates how constraints enable precise operations on type parameters. Whether you’re learning to leverage fmt.Stringer, creating flexible numeric constraints, or handling derived types, this guide unlocks a deeper understanding of Go’s generics—perfect for honing your skills or tackling practical challenges in coding.
Opportunities for AI in Accessibility
I think this article falls short in capturing the full impact AI will have on accessibility, not only for people with disabilities but also for those who, despite not having recognized disabilities, face accessibility issues. This includes tasks ranging from reading cursive handwriting to understanding non-native speakers who use dialects.
-->Since Bryan has started selling food replacement products aimed at promoting longevity, I am inclined to interpret his statements as being influenced by his interest in selling these products. In my view, all food replacement products are scams, and none can match the health benefits of a whole food, plant-based diet.
-->TLDR:
The article discusses the importance of social connections and interpersonal skills, aligning with the ideas presented in David Brooks’ book “How to Know a Person: The Art of Seeing Others Deeply and Being Deeply Seen.” The main argument is that life’s purpose revolves significantly around our relationships with others. It emphasizes that modern society often neglects teaching essential social skills, like active listening, showing empathy, and effective communication, leading to increased loneliness and disconnection.
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