Recent submissions

Comment · 3 months ago
I applaud Kimi and the open weight models - for the simple reason that they provide a price ceiling for AI.
Comment · 7 months ago
I've found minimax to be quite good
Comment · 8 months ago
Location: SF Bay Area (commutable from Berkeley) Remote: Yes Willing to relocate: No, but I'll travel Technologies: Java, Python, Relational Databases, Microservices, Queues, Temporal, LLM orchestration packages Resume/Email: Check profile

I'm an experienced individual contributor who's done a lot of work building and scaling distributed backend systems in a bunch of different industries. I've worked for both startups and large enterprises.

Comment · 10 months ago

  @book{Kuhn1962,
    author    = {Kuhn, Thomas S.},
    title     = {The Structure of Scientific Revolutions},
    publisher = {University of Chicago Press},
    year      = {1962},
    address   = {Chicago},
    note      = {Often cited with various editions, e.g., 50th ed. 2012},
    keywords  = {paradigm shift, normal science, scientific revolutions}
  }
Comment · 11 months ago
Comment · 1 year ago
Sharpe ratio is just the start: it gives you a metric on your portfolio. If it gave an interpretation of what that means, or give guidance on how certain actions would adjust the Sharpe, that might add a lot more value.
Comment · 1 year ago
https://en.wikipedia.org/wiki/Productivity_paradox

If AI is roughly where IT is in the 60's, we might see actually decreased productivity for a while until people (yes people) figure out how to use it effectively.

Comment · 2 years ago
I love SICP, but in industrial software I'd point to "The Mythical Man Month".
Comment · 2 years ago
There's a couple uses cases (beyond the obvious) that I like with the chatbots

1. Brainstorming building something. Tell it what you're working on, add a paragraph or two of how you might build it, and ask it to give you pros and cons and ways to improve. Especially if it's mostly a well-trod design it can be helpful.

2. Treating it like a coach - tell it what you've done and need to get done, include any feedback you've had, and ask it for suggestions. This particularly helps when you're some kind of neurospicy and "regular human" responses sort of escape you.

Comment · 2 years ago
Fundamentally a dev owns the code they write - it doesn't matter if it's copy/pasted from search results or filled in via an LLM.
Comment · 2 years ago
The future is here, it's just not evenly distributed..
Comment · 2 years ago
I'm on a 6 year old XS. When I upgrade, I get 5G and USB-C, and a chip that's now ahead of the OS.
Comment · 2 years ago
I had a GSD who remembered everyone who threw a tennis ball for her. To the point that I had to warn people that if they tossed it once, she'd be dropping a tennis ball in their laps for the foreseeable future.

I miss that girl.

Comment · 2 years ago
There needs to be a pattern for including AI-generated code, recording all the context which led to the generation.
Comment · 2 years ago
EVs are the clear choice if you've got an ICE car as a backup.

I mostly do commuting, grocery runs, etc. EVs are great for that. But then I do road trips about once a year, and an EV just adds to the complexity of planning currently.

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