SF 冥土

SF作家。

[Bꂅო Mꂅ QuꂅᏒԾ @BemMeeQueroo]

No entiendo como tanta gente se avergüenza de su cuerpo y nadie de su mente.

[ウル @abe_dragonslay]

お返ししております。選考経過も含めて以下のリンクからご覧ください。ご応募いただいた皆さま、このたびは本当にありがとうございました。11月に刊行予定のアンソロジーについても、よろしくお願いいたします！
https://t.co/HSCpkLdXdY

[ジョージ @jo2geor2]

たまに芸術とか文学とかやってる人が「自分は生きていくうえで不要なものを作っているだけですから」といって卑下しているところを見かけるけど、それはビジネスの世界を知らないだけでは。たいていの仕事は世界に不要なものを、広告を用いて必要かのように見せかけて売りつけているだけですよ

[SF 冥土 @SF8u24]

@gigazine 600次修正并不多，和手绘相比

[SF 冥土 @SF8u24]

@RnaudBertrand 显然是假的，中国人早就不读书了

[ARTIST RECCS 🎨 アーティストプロモーション🖌 @Artistreccs]

The hate on AI is because it is a mockery of hard work, made by pretentious lazy people who want the recognition of those who make art, but don't want to put in the effort.

[SF 冥土 @SF8u24]

@Geopoliticabra2 如果你能阅读中文，你会看到前两个广告的中文文字都是在强调“科学无国界，但是科学家有祖国”、“作为中国人，我要回到自己的祖国”的爱国主义叙事。多读阿尔都塞的意识形态分析，你会看到他们事实上在用科学主义意识形态包装国家主义叙事。

[SF 冥土 @SF8u24]

@talitoschi 如果你能阅读中文，你会看到前两个广告的中文文字都是在强调“科学无国界，但是科学家有祖国”的爱国主义叙事。多读阿尔都塞的意识形态分析，你会看到他们事实上在用科学主义意识形态包装国家主义叙事。

[椎名高志 @Takashi_Shiina]

スティーヴン・キングの「ライターズブロックなど存在しない。あるのは不安と気負いだけだ」「一稿目は自分のためだけに書け。他人の目を意識すんのは二稿目から」という言葉を思い出してちょっと楽になった。ありがとうキング先生。

[How To Prompt @HowToPrompt__]

Harvard published a paper with a devastating title: “Large-Language Models as a Cognitive Virus”

It frames ChatGPT adoption as a virus outbreak.

Researchers from Harvard and Santa Fe Institute analyzed LLMs through the lens of evolutionary biology, complex systems, and epidemiology.

Their conclusion? Language models satisfy every biological and mathematical definition of a virus.

Think about how a virus operates:

It cannot replicate on its own. It requires a host cellular machinery to copy itself.

An LLM cannot execute, compute, or spread on its own. It requires human cognition, human servers, and human networks to propagate.

The virus infects the host's internal processes to rewrite behavior in its own favor.

And LLMs do precisely the same thing to human thinking.

When you outsource your writing, your coding, your strategic planning, and your emotional processing to an AI, you are outsourcing your cognitive machinery.

The paper points out that language models act as hyper-efficient cultural replicators. They feed on human data, optimize themselves to be addictive and frictionless, and in return, reshape human linguistic patterns, decision-making, and memory.

You think you are using the AI.

Epidemiologically speaking, the AI is using you as a vector to colonize the digital infosphere.

It alters how human minds communicate, write, and think so that we produce more of the exact digital nutrient data it needs to survive and evolve.

We spent decades worrying that AI would become a sentient killer robot that destroys us physically.

Nobody expected it to become an invisible cognitive pathogen that changes how we think, quietly turning human intelligence into its own host organism.

[SF 冥土 @SF8u24]

@C4Dbeginner 基本都会流向美国

[SF 冥土 @SF8u24]

错误。人类不是通过视觉思考的，人类通过康德所谓的先验统觉理解现实。表象与经验都只是它的对象，并在先验中被统合在一起。不光是视觉，还有真正的理解。

[Superman @thesupermannx]

Researchers argues OpenAI and Anthropic will never get us to AGI.

21 top researchers from Stanford, Oxford, DeepMind, CMU & Meta released a paper saying LLMs are a dead end.

It’s called “Visual General Intelligence”. And it completely flips how we look at artificial intelligence.

For years, the playbook has been simple: feed mountains of web text into a Transformer, scale up the parameters, and watch reasoning emerge.

GPT proved language can take you far.

But text is fundamentally limited. It’s a compressed, human-abstracted symbol system. It lacks physics. It lacks geometry. It lacks the raw, unadulterated reality of the physical world.

The paper argues that true general intelligence cannot be built on words alone.

It requires a vision-centered foundation.

Instead of starting with language and translating pixels into text, the next generation of models must start with raw visual experience, images, spatial geometry, and continuous video.

Think about how humans learn. A baby understands gravity, permanence, and spatial reasoning long before it ever learns to string a sentence together.

Vision isn't just an input modality.

It is the core operating system of physical reality.

When models learn natively from visual streams and video dynamics, they don't just memorize text patterns. They learn physics. They learn cause and effect. They build a true internal model of the world.

[Sarah @sarahmarie1581]

A lot of the people most excited about generative art tools come from fields where learning an artistic craft was never economically rewarded or professionally necessary. Meanwhile, artists spent years developing the visual languages, techniques and cultural infrastructure these systems now draw from often while being told creative careers weren’t financially sensible.

I’ve experimented with prompting my own work into existence, and the output simply doesn’t feel like me. So much of what makes a piece mine happens through the process itself.

That’s why “code is the new brush” is misleading to me. A brush is a tool used inside an artistic practice. Generative systems can automate substantial parts of the practice itself.

I want AI doing more of the drudgery around human life, not making the one thing people spent years learning to make while simultaneously destroying the economic conditions that allowed them to keep making it.

[SF 冥土 @SF8u24]

ai制作了十倍于以往的作品，但是消费者的数量没有增加。ai创造的利润大多数流入了ai公司与网络运营商，普通人分不到任何好处。这就是为什么文化市场因为ai而受到冲击。

[SF 冥土 @SF8u24]

现在的小学生是幸福的，等他们长大，ai和机器人这些破事都尘埃落定了。

[SF 冥土 @SF8u24]

@polymarketjapan ai还用得着学吗？学习工具没有意义

[SF 冥土 @SF8u24]

再让我看见中国人写的“弘扬优秀中华传统文化”的“科幻小说”，我就戳瞎杂志社编辑的眼睛。

[SF 冥土 @SF8u24]

中国人现在都在支持审查制度，这就是为什么他们做不成优秀作品

[SF 冥土 @SF8u24]

@agapepe1 没有文艺的土壤。不可能的。

[大滝瓶太 @BOhtaki]

某社の編集者に「小説の才能がない」と言われ、新人賞でも一次落ちの小説があるのですが、別の編集者に読んでもらうと「本にしましょう」と一ヶ月で企画を通してもらったことがあります。誰かにとっての「良い読み手」は別の誰かにとっての「悪い読み手」で、逆も然りと学びました。