Naoto Nakai

中井ナオト

[Naoto Nakai @NuCode]

orbbec面白いの出すな。人型ロボットのデータ収集用カメラ群。他の使い方したくなる
https://t.co/vfYAIzk8h8

[Naoto Nakai @NuCode]

MBP16（M5）とTB5接続。速いなあこのケース

[Naoto Nakai @NuCode]

SSDケースを追加

[Naoto Nakai @NuCode]

Fable君の改善案、めっちゃ精度が上がるけど超絶重い…

[Kyle Walker @kyle_e_walker]

There's so much focus on "how can AI do my work for me?"

I think the more important question is "what work can I now do with AI that I would have never attempted before?"

Earlier this year I wrote freestiler, a vector tiling engine for R and Python, with the help of Claude and Codex.

I knew what the ideal engine looked like and how it would work at a high level. I didn't know how to put it together, and I don't know Rust, the language I wanted under the hood.

Previously I would never have attempted this project as the ROI wasn't there. It would have taken me a year or more to learn the internals of a vector tiling engine and enough Rust to implement one.

With Opus-level models, I could take it on. freestiler now powers all my vector tiling pipelines, including the map below rendering 143 million jobs from LODES, and it has 114 GitHub stars.

Building this way has required a different set of skills. I don't review the code line by line. I set up adversarial agents to do that and write the test suites. What I review is the architecture, the behavior, and the results. Agent teams surface findings and explain their reasoning; I evaluate and critique. My job isn't to stress over code formatting, but instead to focus on questions like whether the engine is designed right, whether the output is correct, and if the UX makes sense.

This means that I haven't "replaced my work." I've taken on entirely new work, with the help of agents, that I would have never done otherwise.

It has taken some getting used to shipping code I haven't personally typed. In the old way of working, I built understanding through writing that code. Now I build understanding through managing the project - writing a spec, reviewing structure, evaluating UX. And that's helped me think a whole lot bigger in terms of what I can now do.

[ITmedia AI＋ @itm_aiplus]

Anthropic、「Claude Code」のシステムプロンプトを80％削減　「モデルの創造性を解放するため」
https://t.co/WZzPJ9bdN4

[Naoto Nakai @NuCode]

FableはMax 5xで使ってると良い感じだが、これ従量課金だとつらそうだな。仕事用のClaudeはクライアントさんにAPIを使わせてもらってるけど、さすがにFableは怖くて使えない

[Naoto Nakai @NuCode]

Fableにもコンテキスト圧縮の壁はあるなあ…

[Naoto Nakai @NuCode]

夜中に眠れなくて仕事をしてしまう

[Naoto Nakai @NuCode]

Fableのほうが自分よりチャレンジ精神があって非常に反省した

[Naoto Nakai @NuCode]

Fable、無理難題やハイレベルな問いのほうが活き活きと考えてくれる。こちらがついていけるか理解できるかが問題

[Naoto Nakai @NuCode]

使い切った

[OpenAI @OpenAI]

GPT-5.6 Sol, along with Terra and Luna, will launch publicly this Thursday.

We’re expanding preview access globally now.

[Naoto Nakai @NuCode]

サーバーで学習ぶん回してる

[Naoto Nakai @NuCode]

AXIS（雑誌）が紙の本だと2500円だけどKindleだと1500円で、うーんと毎回悩む

[Naoto Nakai @NuCode]

あ、Kindle Unlimitedにサンレコがきてる…

[Naoto Nakai @NuCode]

Fable君、攻めてるというか技術的にクリエイティブな提案してくるよなあ

[Naoto Nakai @NuCode]

ぬぉー、作業途中だが間に合ってくれー

[Naoto Nakai @NuCode]

Fable君が頭良すぎて若干引くw

[Naoto Nakai @NuCode]

ディープラーニングのアノテーションと学習について色々参考になった。というか、Fable君は心強いなあ

[Naoto Nakai @NuCode]

Claude Fable君に仕事での問題点（技術的な課題）を相談してみたが、めっちゃ賢い。フリーランスは技術的に難しいことを相談できる相手がいないので、かなり助かるというか嬉しい。Fableは理解度がOpusと比べても段違いというか人間っぽい