T

AI関連で累計6億越え┃日々の投稿は自分、成人向け投稿はチームが行っています

[T @tkvtk]

環境条件：MOSS Imageは5Bのオープンモデル（Apache-2.0）

A6000（48GB）で1024×1536・50ステップ、1枚約2分。VRAMは30GB台を使うので、16GBクラスだと厳しい。

崩さないコツ

コマと吹き出しの位置はJSONで指定。手を描かせると崩れやすいので、各コマは顔アップにする。LoRAなしだと日本語がたまに1文字崩れるので、数枚出して選ぶ前提で。

[T @tkvtk]

漫画でニュースをまとめたい人は
MOSS Imageを試した方がいい。

6コマの配置と
吹き出しの日本語まで
1枚で描ける。

画風LoRAを足せば
絵柄も寄せられる。

文字を後から
入れ直す手間が減る。

詳しいやり方はリプ欄に↓

[T @tkvtk]

やはり物理学を学んでこの世界のルールを可能な限り理解することが今の最適解

今できることを把握してればあとはAIがやってくれる

できることがわからなければ何ができるのかわからない

[T @tkvtk]

水銀から本物の金がつくれる

お金の価値が落ちて全員が裕福になったとして素材が有限だよなと思ってたけどそんなこともないらしい

[T @tkvtk]

水銀から本物の金がつくれる

お金の価値が落ちて全員が裕福になったとして素材が有限だよなと思ってたけどそんなこともないらしい

[Aakash Gupta @aakashgupta]

A San Francisco startup says it just turned mercury into real gold, and their own math says gold is one of the cheapest things their machine can make. Aim it at a different metal and it makes a cancer drug ingredient worth tens of billions of dollars a gram.

Here's how it works. When you fuse two kinds of hydrogen, deuterium and tritium, every single reaction kicks out a neutron moving at 14.1 MeV, which is absurdly fast. Fire one into mercury-198 and it knocks another neutron loose on the way through, so two come out and you're left with mercury-197. Give that a few days and it decays into gold-197, the only stable kind of gold there is. The whole trick needs neutrons above about 6 MeV, and regular nuclear reactors barely make those, while fusion makes one every time it fires.

Now swap the mercury for radium-226. Same reaction, one neutron in and two out, and you end up with radium-225, which decays into actinium-225. Novartis is building its next prostate cancer drug around actinium-225, and it's so scarce it sells by the millicurie, roughly $1,200 to $2,500 apiece. Price it by the gram and you're into the tens of billions of dollars, for a material so radioactive nobody could safely hold a gram of it anyway.

Marathon's team actually put a dollar value on a single fusion neutron in a paper this year. Use it to make electricity and it's worth about $3 × 10⁻²⁰. Gold comes in at $2.6 × 10⁻²⁰, basically a wash. Molybdenum-99, which goes into about 80% of nuclear medicine scans, is worth $2.6 × 10⁻¹⁷ a neutron. Actinium-225 is worth about $10⁻¹⁰, around 3 billion times what the electricity's worth.

That's why fusion people should care. Every fusion company you've heard of is chasing electricity, and selling electricity only pays once the plasma puts out something like 10 to 22 times the energy you pump in to heat it. The best result so far, at JET in England, was about a third. Add gold on the side and Marathon's math says you break even around 3x. For molybdenum-99, the number is 0.001x.

So a machine that gives back one-thousandth of the energy you feed it can still make money, as long as the neutrons hit the right metal.

By their numbers, a 3 megawatt machine running way below breakeven could cover the whole world's supply of molybdenum-99, which today comes from splitting uranium in a handful of research reactors. Today's experimental fusion machines already beat the gain that job needs.

Their second post basically says this out loud. Marathon now describes itself as an isotope company for radiopharma. Their chart shows roughly 390 targeted radiotherapy trials. Pluvicto, the prostate cancer drug Novartis launched at $42,500 a dose, did $1.9 billion in sales last year.

Gold still matters to them, just later. It's about a $700 billion a year market, and Marathon's paper figures it could soak up around 2 terawatts of fusion capacity, which is roughly the scale where fusion actually moves the grid. So the plan is to sell cancer isotopes out of small machines now and use gold to pay for the giant ones, years before electricity can pay for itself.

[T @tkvtk]

ビジネスをやっていった結果、最終人への興味はなくなっていったがそれでもやることは変わらない

人が人を支配する時代はそんな良かったか？

みんな自分や人間を大袈裟に考えすぎていると思う

楽観的に次の時代を迎えましょう

[T @tkvtk]

今の不安から脱する方法はAIよりもお金よりも本質的なものに矢印を向けること

また腐らずいい人間であること　山の中の絶滅しそうなクマは守られるが人里に降りれば駆除される

僕は初めて情報流出があった数週間前から察してこれまで全く好きで��なかった銭湯に毎日1、2回行き、ずっとブラックホールの勉強をしているから何も感じない

AIによる世界の再構築はもう逃れられないのでその後に残るものにシフトしよう

もし不安でしょうが��い人がいたら一緒にブラックホールについて語り合いましょう

ブラックホールはいいぞ

[T @tkvtk]

面白いけど笑えなさすぎて草

[大龍薙 @tairyunagi]

【2026年10月21日 脆弱性発表控室】

PHP：「……俺が先陣を切る。CVSS 9.2、二発だ。」

Node.js：「ぉぃ……PHPが発表したぞ……。今だ、俺たちも行くぞ……！」

HTTPS：「あぁ……認証局の信用��題をぶち込むなら今しかない……！」

Java：「勢いに紛れて……行くぞ……！」

[T @tkvtk]

今日は世の中トレードで不正取引されまくってるな

某企業のサービス内が言われてるけどそこが始まりなだけで全部ダメそう

本当にネット遮断しなければいけないタイ��ング近づいてきた

[T @tkvtk]

学習しているからとはいえAIが日本の考え方や文化と相性がいい可能性もわりとあるわけでとてもすごいことだと思うの

[Superman @thesupermannx]

Researchers proved every LLM is secretly obsessed with Japan.

And they finally figured out why.

They published a paper investigating hidden cultural biases in large language models.

they tested 31,000 questions across 24 different languages on models like gemini, chatgpt, claude, and llama.

they stripped out all geographic hints and just asked the models to pick a place and answer.

the finding was universal.. across a wide range of models and languages, there is a pervasive "obsession" with japanese culture.

even when you prompt them in a language with zero ties to japan, they default to japanese norms, values, and aesthetics at a disproportionately high rate compared to its actual global demographic weight.

the craziest part? they tracked down exactly when the ai develops this obsession.. and it is not from reading the raw internet.

during pre-training, the models actually have a fairly balanced, global view of the world. the obsession gets injected during the safety phase.

when tech companies fine-tune these models to be "helpful, harmless, and polite," the ai starts mapping those corporate safety guidelines directly onto japanese cultural concepts. in the pursuit of creating the perfect, inoffensive, compliant assistant, they warped how the models view the world.

the quantization process (compressing models to run faster locally) actually amplifies this determinism. the smaller and faster your local model is, the more stereotypically it behaves, causing japanese cultural tropes to spike hard.

we spend all this time worrying about existential ai safety, but the real alignment problem is that our most advanced reasoning engines are hyper-fixated on japanese internet culture.

every model upgrade is reinforcing an invisible regional bias that dictates how they generate stories, facts, and code. the cultural commonsense of the internet is not universal..

it’s just localized to whatever the heaviest reddit and anime wiki users were obsessed with.

[T @tkvtk]

ようやく欲しかった機能が実現されそう。

でもことごとくGrok Botの後塵を拝してる気がしてならない…。。

・Max、Proプランから先に導入
・中身はOpus5.5で動く
・アメリカがWL。日本への実装はまだ

もちろん出たら使いますけどね！

[Claude @claudeai]

We’re opening a research preview of Claude Duet, a new app where Claude works as a proactive agent.

It comes to you with what needs your attention, completes tasks you ask of it, keeps working when you step away, and checks with you before it acts on your behalf.

[T @tkvtk]

PHPの件数日後には同じ様な問題起きるし追いきれなくなるでしょ

情報漏洩と流れは一緒だ

一度全部壊されて超知能に再構築されるのを待つのがほとんどの場合賢い

いまだに人を一番上と考えていると常に目先のトラブルに追われ続ける

ちなみに現時点ではAIが悪なのではなく人間の欲や悪意が問題でわりとガチで大部分が駆逐される未来に近づいてるんじゃなかろうか

[T @tkvtk]

善悪のつかない感情的な生き物に自由を与えてはいけない時代になりましたね

[T @tkvtk]

今のタイミングでやるべきことは思考ルーティーンを変えることで、今までのように同じことを繰り返すは全て淘汰されるので新しいことを見つけることに喜びを見出すを繰り返さないとだめ

[T @tkvtk]

可愛い顔してめっちゃ文句言ってたら嫌だな笑

[Hoops Crave @HoopsCrave]

Elon Musk says Neuralink will allow humans to communicate with animals by 2028.

[T @tkvtk]

流出したら日本終わるやつが一社混ざってるじゃん

[Hackmanac @H4ckmanac]

🚨🚨🚨Cyber Alert ‼️

🇺🇸USA - 𝗙𝘂𝗹𝗰𝗿𝘂𝗺𝗦𝗲𝗰 𝗖𝗹𝗮𝗶𝗺𝘀 𝟭𝟬.𝟲 𝗧𝗕 𝗗𝗮𝘁𝗮 𝗕𝗿𝗲𝗮𝗰𝗵 𝗮𝘁 𝗣𝗶𝗻𝗴𝗖𝗔𝗣 𝗜𝗻𝗰. (𝗧𝗶𝗗𝗕 𝗖𝗹𝗼𝘂𝗱), 𝗣𝗼𝘁𝗲𝗻𝘁𝗶𝗮𝗹𝗹𝘆 𝗘𝘅𝗽𝗼𝘀𝗶𝗻𝗴 𝗠𝗮𝗷𝗼𝗿 𝗚𝗹𝗼𝗯𝗮𝗹 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀

The FulcrumSec hacker group claims to have breached PingCAP (TiDB Cloud), allegedly exfiltrating 10.6 TB of data comprising approximately 4.9 million files.

According to the threat actor, the compromised data includes production databases, source code, customer records, credentials and API keys, potentially affecting over 180,000 organisations.

Companies named in the allegedly stolen records include Booking, Shopee, CAPCOM, Colopl, TOPPAN, Catalyst Software, SB Payment Service, Mercari, PayPay, Fujitsu, SoftBank, DMM, AEON, Square Enix, Konami, BANDAI NAMCO, Delhivery, Flipkart, Quincus, Nylas, Airbnb, Pinterest, Databricks, Bitget, Pionex, DigiPlus, NFTscan, Baidu, SES-imagotag, Persona, Transsion, ZOZO, Gumi, Iret, Classmethod, Wetech, Atlassian, Cygames, SBI, LINE, Chainbase, and PatSnap. Additional companies referenced in other allegedly compromised records include Accenture, Red Bull, Klook, Tencent, Huawei, ByteDance, Mastercard, AIG, and Amazon.

The group also claims to have released an initial 200 GB dataset and threatens further disclosures.

Threat actor: FulcrumSec
Sector: ICT
Data exposure (claimed): 10.6 TB (4.9 million files)
Data type: Production databases, source code, customer records, credentials and API keys
Observed: Oct 19, 2026
Status: Pending verification
ESIX©: 7.70

Full details and impact assessment on https://t.co/eB7qgxKFAa

[T @tkvtk]

元々考えていたとはいえ発言からの行動はやすぎ

[Donald J. Trump @realDonaldTrump]

A BIG THANK YOU to our legendary friend, @ElonMusk, for his incredible generosity in giving SpaceX Stock to millions of American children through TRUMP ACCOUNTS! This is exactly what was envisioned when we created TRUMP ACCOUNTS — Bringing together the GREAT PRIVATE SECTOR, Elon and so many more, to invest in our children, by far our greatest and most important asset, and give every American Child a piece of the American Dream. Thank you Elon! President DONALD J. TRUMP

[Elon Musk @elonmusk]

Next year, I will give one of my SpaceX shares to every kid in America.

This will be the first of many.

[T @tkvtk]

X利用者が一番最初にハイインカム��象になる可能性？

[Elon Musk @elonmusk]

@AnthropicAI This is what I will be doing

[T @tkvtk]

人間って愚かだよな

さっさと丸ごとAIにすげ変わって欲しい

[Polymarket @Polymarket]

BREAKING: Bell tower of Limoges' historic 143-year-old town hall collapses amid raging fires during riots in France.

[T @tkvtk]

DeepSeek-V4.1-Flash-1017が出ました���。

今回のポイントは、

・性能アップ
・タスク完了の高速化
・出力の短縮
・DeepSeek Harness向けの最適化
あたり。

最近Claude CodeやCodexに加えてGrok Botも出てきたことで、

モデル単体の性能より、実際にどれだけ仕事を完遂できるか

の方が個人的には気になってます。

DeepSeekもそっちの方向に進んできた感じがします。

こういうモデルが増えると、AIエージェントの選択肢がどんどん広がりますね。

ただ、NSFW系が弾かれそうなのがネック。

ここはあとで検証必要ですね。