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⚡ 🦀 🐿️ 🐘 🐳 ⬡ ⚛️ 🚢 🚀 🦄 🍵
Cedric Chee
cedrickchee
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⚡ 🦀 🐿️ 🐘 🐳 ⬡ ⚛️ 🚢 🚀 🦄 🍵
Lead Software Engineer | LLMs | Go/JS, backend | product dev @ startups | 🧑🎓 CompSci | alumni: fast.ai, Antler.co
Can't keep up with the exponential progress of AI and LLM?
Fret not. We got you!
This is a minimal working app that goes thru all top Tweets and Reddits and summarizes LLM/GenAI news and what people are talking about. And send you a roundup daily.
You can think of it like some kind of generated AI newsletter.
👑 We now have a true challenger to GPT-4o. Claude 3.5 Sonnet takes the top spot on the leaderboards.
It surpasses GPT-4o by 3.3 points on the MixEval-Hard and leads in almost all sub-benchmarks.
Experts and imitators can be difficult to distinguish. Imitators may sound like experts but lack deeper understanding, struggle to explain concepts in their own words, and get frustrated when asked probing questions. True experts, on the other hand, can discuss the limits of their knowledge, admit to failures, and adapt their communication style. Additionally, popularizers who effectively communicate complex ideas are often mistaken for experts, when in reality they may not have the same depth of expertise. The key is to look for signs of genuine, earned expertise rather than just surface-level proficiency.
The blog post "Cutting through to what matters" discusses the importance of focusing on foundational principles and high-impact work in technology. Using analogies from cooking, it contrasts the roles of chefs, who innovate from first principles, with cooks, who follow established recipes. The author emphasizes the value of mastering timeless tools and understanding core concepts, rather than getting lost in the latest trends or frameworks.
The post highlights how impactful technological advancements can be achieved in relatively short timeframes, citing examples such as Bram Cohen's creation of BitTorrent and John Carmack's early innovations in computer graphics. It argues that computing's youth and the relatively limited prior art make it possible to reach the cutting edge of a sub-field within a few years.
Additionally, the post stresses the necessity of working on important problems and becoming **a producer of technology r
Why You Should Learn C: Uncovering the Hidden Benefits
In this note, I will argue for the importance of learning the C programming language despite its lack of trendiness in modern software development. Four primary reasons for this stance:
Prevalence: C remains one of the most commonly used programming languages, particularly outside the Silicon Valley's web and mobile startup environments.
Influence: Many contemporary programming languages are heavily influenced by C, making an understanding of C beneficial for mastering other languages.
Fundamental Understanding: Learning C helps programmers think like a computer, offering a deep understanding of how computers work at a fundamental level. This includes insights into computer architecture and assembly language.
Tooling and Performance: Most software development tools, interpreters, and critical system components are written in C or C++. This includes Python's CPython implementation, Ruby's reference implementation, and many J
I have been using git for years and are still afraid of it. It sucks to be afraid of the tools that you use in your work every day. So, I will upgrade my git knowledge and skills whenever I can.
The timing is good. Julia Evans's Git zine just came out. I got a copy of it. I enjoy reading it.