adpirz

6 ms·

1.
by adpirz 10mo ago
It's the Anthropic careers page that you're likely looking for now: https://www.anthropic.com/jobs?team=4050633008
2.
by adpirz 1y ago
Plug for Simon's (very well written) longer form article about this topic: https://simonwillison.net/2025/Mar/11/using-llms-for-code/
3.
by adpirz 1y ago
It's hard to unpack without knowing more about the use case, but adding discriminant properties (e.g. "user_type") to all the types in the union can make it easier to handle the general and specific case. E.g. if (user.user_t
4.
by adpirz 1y ago
It's on their roadmap: https://github.blog/news-insights/product-news/github-copilo... But they aren't moving nearly as fast as OpenAI. And it remains to be seen if first mover will mean anything.
5.
by adpirz 1y ago
The dot com boom is an apt analogy: the internet took off, we understood it had potential, but the innovation didn't all come in the first wave. It took time for the internet to bake, and then we saw another boom with the advent of mob
6.
by adpirz 1y ago
Interactive playground for the puzzle: https://claude.site/artifacts/832e77d7-5f46-477c-a411-bdad10... (All state is stored in localStorage so you can come back to it :) ).
7.
by adpirz 2y ago
Having used the latest models regularly, it does feel like we're at diminishing returns in terms of raw performance from GenAI / LLMs. ...but now it'll be exciting to let them bake. We need some time to really explore what w
8.
by adpirz 2y ago
both "get" and "eat" would be followed by an expletive. op doesn't like nate.
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by adpirz 2y ago
I’ve never been able to put it into words, but when we think about engineering in almost any discipline, a significant amount of effort goes into making things buildable by different groups of people. We modularize components or code so tha
10.
by adpirz 2y ago
The "iPhone moment" gets used a lot, but maybe it's more analogous to the early internet: we have the basics, but we're still learning what we can do with this new protocol and building the infrastructure around it to be
11.
by adpirz 2y ago
This write up was also fantastic and has made the rounds at our org!
12.
by adpirz 2y ago
Whoa missed this! Love it.
13.
by adpirz 2y ago
You posted on X a while back asking for a crowdsourced definition of what an "agent" was and I regularly cite that thread as an example of the fact that this word is so blurry right now.
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by adpirz 2y ago
The collective backlog of every software company probably stretches into centuries. This gives us the tooling to A.) burn through those faster. B.) solve more complex problems. If your entire job as an engineer is “take tickets with very
15.
by adpirz 2y ago
YES. I discovered this exact use case myself a few months ago. Tweeted about it even: https://x.com/adpirz/status/1823727814191014323?s=46
16.
by adpirz 2y ago
I think this is heavily life-and-career-stage dependent IMO. If you're young, early career, and don't have dependents, you should absolutely prioritize in-office. Otherwise, the calculus varies.
17.
by adpirz 2y ago
- Some early studies have shown modest gains (can try and link later) - It’s still very early. LLMs have only been publicly available for 2 years, copilots a little less than that. - It’s mostly anchored on cold starts ie I’m creating somet
18.
by adpirz 2y ago
I've seen some pretty wild conditional string interpolation where there were like 3-4 separate phrases that each had a number of different options, something akin to `${a ? 'You' : 'we'} {b ? 'did' : &#x27
19.
Tracing the path to self-adapting AI agents(microsoft.com)
1 points by adpirz 2y ago|0 comments
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by adpirz 2y ago
Siri is bad and is bad for their brand. This is making up for that ground.
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by adpirz 2y ago
One of the things I was gobsmacked by the first time I used Figma years ago was its performance, which has only gotten better with time. From what I understand, they've built some custom stuff for WebGL for their renderer. Here it loo
22.
by adpirz 2y ago
A lot of cars have similar features now. I’m apathetic towards Tesla but am curious how this compares to other manufacturers.
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by adpirz 3y ago
The lactic acid thing is a myth. https://www.bostonsportsmed.com/2013/08/the-lactic-acid-myth...
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by adpirz 3y ago
Same
25.
by adpirz 4y ago
There are puppy crushing machines everywhere. E.g. physicians in the US are paid high premiums relative to other OPEC countries not because their quality of care of experience is significantly higher, but because of the insurance model we h
26.
by adpirz 4y ago
For people more well versed in this space: does GPT / OpenAI more broadly have a meaningful moat? It seems like there will be a number of these models out there and this isn't as great as say Google's up-till-now advantage in
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Neurosurgeon Evaluates GPT-3(twitter.com)
1 points by adpirz 4y ago|0 comments
28.
by adpirz 4y ago
v86 also featured by supabase running postgres in the browser: https://supabase.com/blog/postgres-wasm
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by adpirz 4y ago
Has anyone successfully incorporated VR into their regular workstreams? If so, what's it like?
30.
Inside Mark Zuckerberg’s Metaverse Struggles(nytimes.com)
3 points by adpirz 4y ago|1 comments

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