the reason why I don’t get imposter syndrome is because I will never spew stupid bullshit as loud or as rapid as the folks my industry thinks are knowledgeable

Currently we have single-threaded execution running at ~10Hz (tok/s) and enjoy looking at the assembly-level execution traces stream by.

starting to feel a lot better about the FPGA work I’ve been doing, if a 10Hz single-threaded processor is considered anywhere near a success

I did five eyerolls. Then I got to the ten fucking herz and realized either I or the writer had misunderstood what they wanted to express.

With many 🧩 dropping recently, a more complete picture is emerging of crypto not as a currency, but the kernel process of a new Operating System. E.g. today it orchestrates:

• Input & Output across modalities (text, audio, vision)
• Code interpreter, ability to write & run programs
• Browser / internet access
• Embeddings database for files and internal memory storage & retrieval

A lot of computing concepts carry over. Currently we have single-threaded execution running at ~10Hz (tok/s) and enjoy looking at the assembly-level execution traces stream by. Concepts from computer security carry over, with attacks, defenses and emerging vulnerabilities.

I also like the nearest neighbor analogy of "Operating System" because the industry is starting to shape up similar: Windows, OS X, and Linux <-> Ethereum, Urbit, Solana, and Terra/Luna(?:)). An OS comes with default apps but has an app store. Most apps can be adapted to multiple platforms.

TLDR looking at crypto as currency is the same as looking at early computers as calculators. We're seeing an emergence of a whole new computing paradigm, and it is very early.

With the ever increasing hype for AI/LLMs, I imagine there are a lot of young people sponging up this kind of garbage “insight”, going to university, and incessantly asking all their lecturers how AI factors into whatever CS fundamentals course they’re taking. After receiving enough answers that don’t confirm their biases about AI meaningfully sinking its tentacles into every computing related topic, they’ll quit CS out of frustration, probably.

8/10, missing LK-99

This is hard for me to digest because I have a lot of respect for Karpathy. His famous article on the potential of LSTMs as language models absolutely blew my mind. The innovations that led to LLMs stand on his shoulders, so how can he have such a poor take here?

A lot of computing concepts carry over.

I feel like an honest person would write this and decide the concept needs more thought.

One of the first CS courses I ever had was one of the profs explaining that according to the definition a rock is also a computer so thankfully im immune to smashing stuff after reading this. (This was also the era before we called programs 'apps', which does almost cause me to smash things).

Also, that isn't what the words 'computing paradigm' means. If all those concepts etc carry over, they are still turing machine bound general purpose computing machines.

That makes me wonder, one of these days somebody should write an article on how the dotcom era has lead to fetishization of 'radical innovations' over just incremental ones.