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kimjune01

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Auditing DeepSWE

june.kim
3 points·by kimjune01·الشهر الماضي·0 comments

Show HN: 97% on SWE-bench Verified with subscription-token agents

github.com
2 points·by kimjune01·قبل شهرين·0 comments

56% merge rate on 316 cold OSS PRs in a week

github.com
3 points·by kimjune01·قبل شهرين·2 comments

Show HN: I submitted 316 AI-generated PRs to open source

june.kim
6 points·by kimjune01·قبل شهرين·2 comments

Continuous context compaction using Union-find

june.kim
2 points·by kimjune01·قبل 4 أشهر·0 comments

Show HN: Union-find for chatbot memory instead of flat compaction

june.kim
1 points·by kimjune01·قبل 4 أشهر·0 comments

Show HN: How ads should work on chatbots, and why no one has built it yet

june.kim
2 points·by kimjune01·قبل 4 أشهر·2 comments

The Journey of Internet Ads – A Scrollytelling

june.kim
2 points·by kimjune01·قبل 4 أشهر·0 comments

Show HN: Cord – Agents that build their own coordination trees

june.kim
1 points·by kimjune01·قبل 5 أشهر·0 comments

Geometrically Allocated Ads in AI Conversations

june.kim
1 points·by kimjune01·قبل 5 أشهر·1 comments

Learn Pinyin with Games

june.kim
1 points·by kimjune01·قبل 7 أشهر·1 comments

comments

kimjune01
·قبل 15 يومًا·discuss
lean compiles or it doesnt
kimjune01
·قبل 16 يومًا·discuss
this is known as the oracle problem
kimjune01
·قبل 22 يومًا·discuss
one of those words that lost meaning, like samaritan or literally
kimjune01
·الشهر الماضي·discuss
In the days when Sussman was a novice, Minsky once came to him as he sat hacking at the PDP-6.

"What are you doing?", asked Minsky.

"I am training a randomly wired neural net to play Tic-tac-toe", Sussman replied.

"Why is the net wired randomly?", asked Minsky.

"I do not want it to have any preconceptions of how to play", Sussman said.

Minsky then shut his eyes.

"Why do you close your eyes?" Sussman asked his teacher.

"So that the room will be empty."

At that moment, Sussman was enlightened.
kimjune01
·الشهر الماضي·discuss
oh this again, i found this on stumbleupon circa 2007
kimjune01
·قبل شهرين·discuss
using AI to red-team your thoughts and assumptions is the fastest way to get smart since the dawn of time
kimjune01
·قبل شهرين·discuss
coopetition
kimjune01
·قبل شهرين·discuss
numpy is the APL reincarnate
kimjune01
·قبل شهرين·discuss
I appealed one time, took 3 weeks to get my 30 dollars back. will never deal with that again
kimjune01
·قبل شهرين·discuss
I've been running a public experiment on how far I can take agentic coding harnesses. When I ran out of my own stuff to work on, I looked to open source.

So far, I got the harness to create 368 PRs, 110 of which were resolved. Of those, I got a 56% merge rate.

The harness: https://github.com/kimjune01/sweep

But as soon as I realized what I was doing to maintainers, I worked all night to build the same pipe but backwards for PR review.

The defense: https://github.com/kimjune01/immune

Which means: bots on the contributor side, bots on the maintainer side. The surprise? What's left is two humans on either end. I accidentally invented a H2H protocol.

I'm happy to share what I learned.
kimjune01
·قبل شهرين·discuss
Although Arena is adversarial and resistant to goodharting, it's not immune. Models that train on Arena converge on helpfulness, not necessarily truthiness
kimjune01
·قبل شهرين·discuss
are merged PRs a measure of velocity? github.com/kimjune01/
kimjune01
·قبل شهرين·discuss
we lack the shared data structure for it
kimjune01
·قبل شهرين·discuss
the garbage gets smarter with each iteration
kimjune01
·قبل 3 أشهر·discuss
AI labs should compete on a bench that's adversarial, such as go or Starcraft
kimjune01
·قبل 3 أشهر·discuss
internet ads are largely a story of parasitic exchanges using information asymmetry to suck as much surplus out of the middle as possible.

https://june.kim/advertising-journey/
kimjune01
·قبل 3 أشهر·discuss
I agree. silent agent doing agentic things async is what would be helpful, not requiring a modification to the main prompt
kimjune01
·قبل 3 أشهر·discuss
this is a patch on top of the broken flat-compaction caching algorithm used by coding agents. Why not fix the cache algorithm directly? Union-find is a better impl june.kim/union-find-compaction
kimjune01
·قبل 3 أشهر·discuss
hi Thariq, I dont know how else to reach someone at claude code, so here goes:

I solved context compaction by using a better caching algorithm. It's being implemented in gemini-cli with limited success.

https://june.kim/union-find-compaction https://github.com/google-gemini/gemini-cli/pull/24736
kimjune01
·قبل 3 أشهر·discuss
ishitani