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Anthropic's original take home assignment open sourced

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Re: Anthropic's original take home assignment open sourced

#91

Earlier quoted context omitted.

The person replying was trying to turn the conversation into some sort of IQ pissing contest. Not sure why, that seems like their own problem. I was reminding them that there is always someone smarter.

Your comment history is littered with “nerds”, “elite”, “better” and all sorts of comparisons. > I was reminding them that there is always someone smarter. And even with this comment you literally do not understand that you have some skewed view of the world. Do you have some high school trauma?

> Do you have some high school trauma?

I am not sure ad personam is appropriate here

Re: Anthropic's original take home assignment open sourced

#92

Naively tested a set of agents on this task. Each ran the same spec headlessly in their native harness (one shot). Results: Agent Cycles Time ───────────────────────────────────────────── gpt-5-2 2,124 16m claude-opus-4-5-20251101 4,973 1h 2m gpt-5-1-codex-max-xhigh 5,402 34m gpt-5-codex 5,486 7m gpt-5-1-codex 12,453 8m gpt-5-2-codex 12,905 6m gpt-5-1-codex-mini 17,480 7m claude-sonnet-4-5-20250929 21,054 10m claude-…

codex cli + gpt-5-2-codex-xhigh got to 1606 with the prompt "beat 1487 cycles. go." ~53 minutes.

Re: Anthropic's original take home assignment open sourced

#93
post #72

I consider myself rather smart and good at what I do. It's nice to have a look at problems like these once in a while, to remind myself of how little I know, and how much closer I am to the average than to the top.

disagree. nobody has a monopoly on what metric makes someone good. I don't understand all this leet code optimization. actually i do understand it, but it's a game that will attract game optimizers. the hot take is, there are other games.

Also leetcode does not really provide insight into ones ability to design business solutions. Whether it be system design, just some small feature implementation or communication skills within a team. Its just optimizers jerking each other off on some cryptic problems 99.999999999% of developers will never see in real life. Maybe it would've been useful like 30 years ago, but all commonly used languages have all these fancy algorithms baked into their stdlib, why would I ever have to implement them myself?

Re: Anthropic's original take home assignment open sourced

#95

I consider myself rather smart and good at what I do. It's nice to have a look at problems like these once in a while, to remind myself of how little I know, and how much closer I am to the average than to the top.

Well it is a specialized problem. If you've never worked on anything similar previously, it is going to take time. Don't even need to interview for selective billion dollar companies like Anthropic to encounter these types of problems - after college I interviewed for various electronics/hardware companies where you'd get asked to optimize low-level code - which would have looked quite foreign, if you had never actually worked on such problems before.

Re: Anthropic's original take home assignment open sourced

#96

I consider myself rather smart and good at what I do. It's nice to have a look at problems like these once in a while, to remind myself of how little I know, and how much closer I am to the average than to the top.

I'm 30 years in, and literally don't understand the question.

Re: Anthropic's original take home assignment open sourced

#98

Naively tested a set of agents on this task. Each ran the same spec headlessly in their native harness (one shot). Results: Agent Cycles Time ───────────────────────────────────────────── gpt-5-2 2,124 16m claude-opus-4-5-20251101 4,973 1h 2m gpt-5-1-codex-max-xhigh 5,402 34m gpt-5-codex 5,486 7m gpt-5-1-codex 12,453 8m gpt-5-2-codex 12,905 6m gpt-5-1-codex-mini 17,480 7m claude-sonnet-4-5-20250929 21,054 10m claude-…

codex cli + gpt-5-2-codex-xhigh got to 1606 with the prompt "beat 1487 cycles. go." ~53 minutes.

[deleted]

Re: Anthropic's original take home assignment open sourced

#99

Naively tested a set of agents on this task. Each ran the same spec headlessly in their native harness (one shot). Results: Agent Cycles Time ───────────────────────────────────────────── gpt-5-2 2,124 16m claude-opus-4-5-20251101 4,973 1h 2m gpt-5-1-codex-max-xhigh 5,402 34m gpt-5-codex 5,486 7m gpt-5-1-codex 12,453 8m gpt-5-2-codex 12,905 6m gpt-5-1-codex-mini 17,480 7m claude-sonnet-4-5-20250929 21,054 10m claude-…

codex cli + gpt-5-2-codex-xhigh got to 1606 with the prompt "beat 1487 cycles. go." ~53 minutes.

Will you look at this man's prompting skills?!

Re: Anthropic's original take home assignment open sourced

#100
post #91

Earlier quoted context omitted.

Your comment history is littered with “nerds”, “elite”, “better” and all sorts of comparisons. > I was reminding them that there is always someone smarter. And even with this comment you literally do not understand that you have some skewed view of the world. Do you have some high school trauma?

> Do you have some high school trauma? I am not sure ad personam is appropriate here

This is a thread about their personality.

https://news.ycombinator.com/item?id=46701378

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