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kimjune01
searching PlanetScale…
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7 ms
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61.
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by
kimjune01
5mo ago
coopetition
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kimjune01
5mo ago
numpy is the APL reincarnate
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kimjune01
5mo ago
I appealed one time, took 3 weeks to get my 30 dollars back. will never deal with that again
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56% merge rate on 316 cold OSS PRs in a week
(github.com)
3 points
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kimjune01
5mo ago
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2 comments
65.
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kimjune01
5mo ago
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
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kimjune01
5mo ago
Although Arena is adversarial and resistant to goodharting, it's not immune. Models that train on Arena converge on helpfulness, not necessarily truthiness
67.
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kimjune01
5mo ago
are merged PRs a measure of velocity? github.com/kimjune01/
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kimjune01
5mo ago
we lack the shared data structure for it
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kimjune01
5mo ago
the garbage gets smarter with each iteration
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Show HN: I submitted 316 AI-generated PRs to open source
(june.kim)
6 points
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kimjune01
5mo ago
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2 comments
71.
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kimjune01
6mo ago
AI labs should compete on a bench that's adversarial, such as go or Starcraft
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kimjune01
6mo ago
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/
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kimjune01
6mo ago
I agree. silent agent doing agentic things async is what would be helpful, not requiring a modification to the main prompt
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kimjune01
6mo ago
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
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kimjune01
6mo ago
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/
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kimjune01
6mo ago
ishitani
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kimjune01
6mo ago
'a bit' is load-bearing
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Continuous context compaction using Union-find
(june.kim)
2 points
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kimjune01
7mo ago
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0 comments
79.
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Show HN: Union-find for chatbot memory instead of flat compaction
(june.kim)
1 points
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kimjune01
7mo ago
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0 comments
80.
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kimjune01
8mo ago
it erodes their monopoly margins
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Show HN: How ads should work on chatbots, and why no one has built it yet
(june.kim)
2 points
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kimjune01
8mo ago
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2 comments
82.
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The Journey of Internet Ads – A Scrollytelling
(june.kim)
2 points
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kimjune01
8mo ago
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0 comments
83.
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kimjune01
8mo ago
It is my pleasure to write for you. https://www.june.kim/cord-human
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kimjune01
8mo ago
on Wednesday, I had a dream about agents. Thursday evening, I talked to Claude about trees. That same night, I pushed out the post. There wasn't much rigor involved but yes I will explore more and report back to you!
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kimjune01
8mo ago
The criticism about the labeling is valid and I oversold. For clarity, this is what the agent sees: `spawn`: "Create a spawned child node under your node." `fork`: "Create a forked child node (inherits parent context) under y
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kimjune01
8mo ago
no solution is final, but if you have a better working solution, please share!
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kimjune01
8mo ago
context rot. The human equivalent is saying, why cant the CEO write all the code and reply to all the emails
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kimjune01
8mo ago
i noticed the same, so in the README, I describe `cord` as a protocol: ``` This repo is one implementation of the Cord protocol. The protocol itself — five primitives, dependency resolution, authority scoping, two-phase lifecycle — is indep
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kimjune01
8mo ago
Yes, but as far as I'm aware, subagents can't spawn their own subagents, so the root agent tends to grow its context linearly
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kimjune01
8mo ago
Thank you for the suggestion, I will explore this in the next iteration. I'm learning how to translate how humans do context management into how agents should do them
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