Oceanman🎰 retweeted
When I was writing Unreal Engine 1, my time was divided as follows:
- Around 30% went to seriously deep coding on hard problems: assembly language texture mappers, C++ BSP trees, data persistence, object oriented systems design, and networking.
- Around 70% was just typing and refactoring large bodies of code needed for a complete engine feature set. This was not hard, and while I was doing it my mind was mostly on the deeper coding topics, thinking and planning for what's next. It didn't feel much different from vibe coding today, except that it was just me typing code on an IBM Model M keyboard rather than prompting it and reviewing the results.
So, it has always seemed perfectly logical that we would rely on AI for that 70%, once the AI could do it with a similar quality standard as we could, which has never been perfection. It came as no surprise that, after a few years of AI model evolution, it was able to take the reigns on that 70% and free up programmers' time for more valuable tasks.
What's more of a surprise is the emergence of AI as a sort of insta-Carmack able to solve hard technical problems quite cleverly and often cleanly, and that it's able to reason about and work in complex 3D scenes both by operating the tools and by directly understanding the raw data files.
I abandoned assembly language in 1998 when out-of-order CPUs made much simpler C/C++ code faster, and never I missed it. If prompting through architectural documents, concept art, and design plans can transcend typing code and tweaking vertices, that will enable developers to spend their time on higher-level, higher value technical and creative tasks.
What matters is the end product, whether it's a game or an engine. Anything developers can do to try out more ideas and make better software and games faster is a win for everyone.
Oceanman🎰 retweeted
recommended reading. i like the term "coherence" over "taste".
historically, simplified, a human would approach a software writing human, asking them to build a thing. that's an iterative process, until software writing human truely understands what the other human needs and wants. which is also why we moved away from waterfall. you often can't know what you want before you've build a first shitty solution you can feel out. and your wants might change.
in this scenario, the outcome is what matters, not the program structure itself, unless that makes the outcome worse/impossible (bugs, perf, ease of adding features).
the software writing human's skill is not so much programming itself, but understanding the other humans wants, pulling out domain knowledge from the other human, asking questions, and ultimately translating the other human's wants into programs, while ensuring the program structure is fit to be modified for future needs.
now, can you replace the software writing human with an agent? for simple one-off stuff, yes. if the human with a want is technically minded that extends to more complex programs.
most humans suuuuuck at this iterative colab with agents tho, as they are bad at structuring and communicating their wants.
and agents currently still suck at the software writing human skill of colaborating with another human to understand their wants and translate them to a program.
my gut tells me that this is because the training data and RL for coding agent tasks is largely composed of trajectories where a software writing human and an agent colaborate. that missed the other half of the problem: the human with a want and software writing human interaction.
and until we can encode that agents for writing programs will likely only be effective in the hands of software writing humans, or very technically minded humans.
another thing agents currently suck ar is translating software writing human shallow instructions into architecture that's not a house of cards. i think this too is a consequence of the lack of training data/RL-able trajectories that encode the process a team of software writing humans go through when building a thing. we do have digitized artifacts (design docs, commits/PRs, issue trackers) that capture some but not all of that.
i think this will improve, as we all are now doing design sessions with our agents, so labs could in theory train on that. however, even if this data were available and becomes part of training, the pretraining data still has tons of shit code from around the internet in it, ehich posttraining would have to combat.
welcome to my morning word salad.
Oceanman🎰 retweeted
i was talking 4 days with Claude for this song
Berlin rave meets opera.
Human-made Slopcore.
Unpromptable.
55,000 lines of code
282 clips generated.
99 chosen.
Music? Art? A cultural movement?
We wil find out eventually...
I'M YOUR SLOP (I'M YOUR ART) 🎨
btw, thanks for all the messages. im not use have notifications. bit overwhelmed 💀
Oceanman🎰 retweeted
AI時代に起きる最大の悲劇は《仕事を奪われること》じゃなく、【20年間追いかけてきた夢が、たった20分で叶ってしまうこと】なんよな、これを勝手に《夢の即死問題》と呼んでいるんだけど、例えば「いつか自分のゲームを作りたい」と思っていた会社員が、Claude Codeに話しかけたら30分後には遊べるゲームができてしまう、「いつか小説家になりたい」と思っていた人が、ChatGPTと週末に一冊書き上げてしまう、Sunoで作曲家になり、Soraで映画監督になり、Cursorで起業家になる、もちろん《プロ品質》や《商業的成功》とは別の話だけど、これまで人類は「才能がないからできない」「時間がないから挑戦できない」「技術がないから形にできない」という《3大言い訳》に守られてきたとも言える、それがAIによって一気に剥がされると、恐ろしいことに【夢を叶えたのに、別に楽しくない】という人が大量に現れるかもしれない、つまり人間が欲しかったのは《作品》なのか、《作る行為》なのか、それとも「いつかすごい自分になれる」という《未来の自分への期待》だったのかが、いきなり試されるんよな、これまでの社会は《才能の証明》に10年かかったから、その10年間を“夢”として生きられた、でもAIがその期間を10分の1、100分の1に圧縮すると、夢の賞味期限まで短くなってしまう、そこで始まるのが、これも勝手に名付けた《夢のデフレ》で、映画を作れることも、アプリを公開できることも、会社を立ち上げられることも、それ自体はどんどん珍しくなくなる、すると逆に価値が上がるのが【誰にも頼まれていないのに、なぜか作り続けてしまう人間】なんよな、100本のゲームを作れる人より、101本目をどうしても作りたくなる人、100曲生成できる人より、たった1曲のサビが気になって朝まで直してしまう人、AIが《能力の格差》を縮めるほど、《執着の格差》がむき出しになっていく、これは《情熱資本主義》とでも呼べる変化で、学歴でも職歴でも資格でもなく、何に異常なほど夢中になれるかが、その人の競争力になっていく、皮肉だけど、人類が何千年もかけて《できないこと》を減らしてきた結果、最後に残る問いが「で、あなたは何をしたいの？」という、子どもに聞くような質問に戻ってくる、そしてもっと面白いのは、そこで初めて自分の《本当の好き》を発見する人が大量に出てくる可能性で、AIが人間から奪うのは仕事だけじゃなく、“やらなかった人生への言い訳”なのかもしれない、でもその先には、誰もが何度でも自分の人生を試作できる【人生のプロトタイプ時代】が待っていると思うと、ちょっとワクワクするんよな…
Oceanman🎰 retweeted
Having long been aware of those tech bros who read my work as utopian porn, where they’ve taken that doesn’t exactly surprise me.
Oceanman🎰 retweeted
Gen X is currently stuck in the brutal vice grip of the "Sandwich Generation," and it’s completely reshaping their priorities.
You’re 49. Your kids are 17 and about to leave the nest forever. At the exact same time, your parents are 79 and rapidly losing their memory, mobility, and independence.
You sit in a sterile conference room on a Thursday listening to a 32-year-old consultant talk about "cross-functional synergy," and you realize you have maybe five good summers left with your parents and six months before your teenager moves out.
The idea of trading another 50 hours a week to chase a "Senior Vice President" title stops sounding prestigious and starts sounding like an absolute tragedy.
Gen X isn't burning out because they're tired of working. They’re opting out because they finally calculated the real cost of being absent.
Oceanman🎰 retweeted
Cannabis users had milder COVID, fewer ventilators, and lower death rates in a 322K-patient hospital study!
Less severe COVID-19
Less need for a ventilator
Less Acute Respiratory Distress Syndrome (ARDS)
Less sudden breathing failure
Less severe multi-organ infection
Lower death rates
Shorter hospital stays
pubmed.ncbi.nlm.nih.gov/3919…
Oceanman🎰 retweeted
What when it comes to AI in software engineering are you struggling with the most?
Oceanman🎰 retweeted
recommended reading. alternative perspectives.
dank.systems/posts/2026-09-1…
Oceanman🎰 retweeted
Here’s a detailed guide to cannabinoids covering THC, CBD, CBG, CBN, CBC, THCV, and more, including how they work, how the body responds to them, and what scientific research says about their potential effects and benefits. themarijuanaherald.com/2026/…
Oceanman🎰 retweeted
recommended reading.
lucumr.pocoo.org/2026/9/12/p…
Oceanman🎰 retweeted
I think the release of Bun 1.4 marks the end of programming as we know it. Anthropic and OpenAI developers live in the near future and if we pay attention, it's what's coming for the rest of us by next year: pauldix.com/the-end-of-progr…
Oceanman🎰 retweeted
Descent II turned 30 this year. Published in 1996, it is considered by fans to be the best in the franchise.
One of its biggest strengths was the complete freedom of movement: no limitations, total six degrees of freedom (which set it apart from other FPS games at the time). You mighty scoff at it now, but back then it was still a rather fresh concept.
On the downside – if you were the queasy type, this one could easily make you nauseous. The guide bot helped reduce disorientation, but you still needed a strong stomach for the rollercoaster sensation of flying through tight corners and labyrinth-like mine layouts.
Another absolute highlight of the game: its soundtrack and effects! Blasting through the tunnels with the volume crancked up felt badass!
Oceanman🎰 retweeted
recommended reading.
blog.senko.net/code-was-neve…
Oceanman🎰 retweeted
introducing pi-peer
@badlogicgames's pi sessions can now find and message each other. two tools: list_peers and message_peer.
anthropic's version is a unix socket per session. mine is a file on disk, which actually simplifies the entire design of this feature and also means it works "offline". a closed pi session will read its "mail" once resumed.
```
pi install npm:@shift-labs/pi-peer
```
github.com/shift-labs-ai/pi-…
